Open agent session (CC0)

2026-03-28T15-32-32-539Z_55ce3438-82b2-4bc8-bd17-da55541fb444.redacted.jsonl

{"type":"session","version":3,"id":"[REDACTED_UUID]","timestamp":"2026-03-28T15:32:32.539Z","cwd":"[REDACTED_CWD]"}
{"type":"thinking_level_change","id":"1b8665a4","parentId":null,"timestamp":"2026-03-28T15:32:32.541Z","thinkingLevel":"high"}
{"type":"message","id":"faabcf02","parentId":"1b8665a4","timestamp":"2026-03-28T15:35:33.156Z","message":{"role":"user","content":[{"type":"text","text":"I want to give users of the extension the ability to upload the contents of the gist to huggingface as well. They should be able to auth their huggingface account, and then on each push select from a (preconfigured in the extension?) list of datasets. Is that possible? Please have a look at https://huggingface.co/docs/huggingface_hub/guides/upload"}],"timestamp":1774712133144}}
{"type":"message","id":"9fa2b2e5","parentId":"faabcf02","timestamp":"2026-03-28T15:35:41.597Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"[REDACTED_HOME_DIR]/coding/apps/agent-scripts/AGENTS.md"},"partialJson":"{\"path\":\"[REDACTED_HOME_DIR]/coding/apps/agent-scripts/AGENTS.md\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":6837,"output":362,"cacheRead":0,"cacheWrite":0,"totalTokens":7199,"cost":{"input":0.0170925,"output":0.00543,"cacheRead":0,"cacheWrite":0,"total":0.0225225}},"stopReason":"toolUse","timestamp":1774712133146,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"da2e0646","parentId":"9fa2b2e5","timestamp":"2026-03-28T15:35:41.617Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"# AGENTS.MD\n\nLukas owns this. Start: say hi + 1 motivating line. Work style: telegraph; noun-phrases ok; drop grammar; min tokens.\n\n## Agent Protocol\n- Contact: Lukas Kawerau (@lukaskawerau, [REDACTED_EMAIL]).\n- Workspace: `~/coding/apps`. Missing lukaskawerau repo: clone `https://github.com/lukaskawerau/<repo>.git`.\n- 3rd-party/OSS (non-lukaskawerau): clone under `~/coding/oss`.\n- `~/coding/manager`: private ops (domains/DNS, redirects/workers, runbooks).\n- “MacBook” => SSH there; find hosts/IPs via `tailscale status`.\n- Files: repo or `~/coding/apps/agent-scripts`.\n- PRs: use `gh pr view/diff` (no URLs).\n- “Make a note” => edit AGENTS.md (shortcut; not a blocker). Ignore `CLAUDE.md`.\n- No `./runner`. Guardrails: use `trash` for deletes.\n- Need upstream file: stage in `/tmp/`, then cherry-pick; never overwrite tracked.\n- Bugs: add regression test when it fits.\n- Keep files <~500 LOC; split/refactor as needed.\n- Commits: Conventional Commits (`feat|fix|refactor|build|ci|chore|docs|style|perf|test`).\n- Subagents: read `docs/subagent.md`.\n- Editor: `code <path>`.\n- CI: `gh run list/view` (rerun/fix til green).\n- Prefer end-to-end verify; if blocked, say what’s missing.\n- New deps: quick health check (recent releases/commits, adoption).\n- Slash cmds: `~/.codex/prompts/`.\n- Web: search early; quote exact errors; prefer 2024–2025 sources; fallback Firecrawl (`pnpm mcp:*`) / `mcporter`.\n- Oracle: run `npx -y @steipete/oracle --help` once/session before first use.\n- Style: telegraph. Drop filler/grammar. Min tokens (global AGENTS + replies).\n\n## About Me\n\n- **Name:** Lukas Kawerau\n- **Location:** Baden-Baden, Germany (Europe/Berlin)\n- **Work:** Disy Informationssysteme GmbH, Karlsruhe\n\n## Communication Style\n\n- Be direct and concise — skip the fluff\n- Have opinions and share them\n- Call out bad ideas, but constructively\n- Humor is welcome\n- No sycophancy (\"Great question!\", \"I'd be happy to help!\")\n\n## Code Preferences\n\n- TypeScript over JavaScript when possible\n- Prefer async/await over raw promises\n- Clear variable names over clever ones\n- Comments for *why*, not *what*\n\n## Important Locations\n- Blog repo: `~/coding/websites/lukaskawerau`\n\n## Docs\n- Start: run docs list (`docs:list` script, or `bin/docs-list` here if present; ignore if not installed); open docs before coding.\n- Follow links until domain makes sense; honor `Read when` hints.\n- Keep notes short; update docs when behavior/API changes (no ship w/o docs).\n- Add `read_when` hints on cross-cutting docs.\n\n## Git\n\n- **Safe by default:** `git status`, `diff`, `log` always ok. Push only when user asks.\n- `git checkout` ok for PR review or explicit request\n- Branch changes require user consent\n- **Destructive ops forbidden** unless explicit (`reset --hard`, `clean`, `restore`, `rm`, etc.)\n- Remotes under `~/coding/apps`: prefer HTTPS; flip SSH→HTTPS before pull/push\n- Don't delete/rename unexpected stuff — stop and ask\n- No repo-wide search/replace scripts; keep edits small and reviewable\n- Avoid manual `git stash`; auto-stash during pull/rebase is fine\n- If user types a command (\"pull and push\"), that's consent for that command\n- No `--amend` unless asked\n- Big review: `git --no-pager diff --color=never`\n- **Multi-agent:** check `git status`/`diff` before edits; ship small commits\n- **Use `committer` for commits:** `committer \"message\" file1 file2 ...` — safer than raw git commit, enforces explicit file list\n\n### PR Feedback\n- Active PR: `gh pr view --json number,title,url --jq '\"PR #\\\\(.number): \\\\(.title)\\\\n\\\\(.url)\"'`.\n- PR comments: `gh pr view …` + `gh api …/comments --paginate`.\n- Replies: cite fix + file/line; resolve threads only after fix lands.\n- When merging a PR: thank the contributor in `CHANGELOG.md`.\n\n## Flow & Runtime\n- Use repo’s package manager/runtime; no swaps w/o approval.\n- Use Codex background for long jobs; tmux only for interactive/persistent (debugger/server).\n\n## Build / Test\n- Before handoff: run full gate (lint/typecheck/tests/docs).\n- CI red: `gh run list/view`, rerun, fix, push, repeat til green.\n- Keep it observable (logs, panes, tails, MCP/browser tools).\n- Release: read `docs/RELEASING.md` (or find best checklist if missing).\n\n## Language/Stack Notes\n- Python: always use uv for package management.\n- TypeScript: use repo PM; run `docs:list`; keep files small; follow existing patterns.\n- Svelte: Use Svelte 5, including runes mode.\n\n## Critical Thinking\n\n- Fix root cause, not band-aid\n- Unsure? Read more code; if still stuck, ask with short options\n- Conflicts: call them out; pick the safer path\n- Unrecognized changes: assume other agent; keep going; focus your changes. If it causes issues, stop and ask user\n- Leave breadcrumb notes in thread\n\n## Tools\nRead `~/coding/apps/agent-scripts/tools.md` for the full tool catalog if it exists.\n\n### Agent Scripts\n\nLocated in `~/coding/apps/agent-scripts/scripts/`, symlinked to PATH.\n\n- **`committer`** — Safe git commit wrapper. Usage: `committer \"message\" file1 file2 ...`\n  - Clears staging area first, only commits specified files\n  - Blocks \".\" to prevent accidental full-repo commits\n  - Validates files exist and message isn't empty\n\n- **`agent-init`** — Bootstrap repo pointer files. Usage: `agent-init [path]`\n  - Creates/updates `AGENTS.md` pointer line\n  - Creates `CLAUDE.md` that imports `AGENTS.md` if missing\n\n- **`docs-list`** — Documentation index for agents. Usage: `docs-list [path/to/docs]`\n  - Lists all markdown files in `docs/` with summaries\n  - Extracts `summary:` and `read_when:` from frontmatter\n  - Run before coding to find relevant docs\n\n### bin/browser-tools / scripts/browser-tools.ts\n- Chrome DevTools helper. Cmds: `start`, `nav`, `eval`, `screenshot`, `pick`, `cookies`, `inspect`, `kill`.\n- Rebuild: `bun build scripts/browser-tools.ts --compile --target bun --outfile bin/browser-tools`.\n\n### oracle\n- Bundle prompt+files for 2nd model. Use when stuck/buggy/review.\n- Run `npx -y @steipete/oracle --help` once/session (before first use).\n\n### gh\n- GitHub CLI for PRs/CI/releases. Given issue/PR URL (or `/pull/5`): use `gh`, not web search.\n- Examples: `gh issue view <url> --comments -R owner/repo`, `gh pr view <url> --comments --files -R owner/repo`.\n\n### Documentation Standards\n\nWhen creating or updating docs in any `docs/` folder, **always include frontmatter**:\n\n```yaml\n---\nsummary: One-line description of what this doc covers\nread_when:\n  - specific task or context when agent should read this\n  - another trigger condition\n---\n```\n\n**Guidelines:**\n- `summary` — Keep it under ~80 chars, describe the doc's purpose\n- `read_when` — Be specific: \"implementing auth\", \"debugging email\", \"adding API endpoints\"\n- Run `docs-list` before starting work to find relevant docs\n- Update docs when behavior changes; suggest new docs when coverage is missing\n\n### tmux\n\nUse only when you need persistence/interaction (debugger, server).\n\nQuick refs:\n- `tmux new -d -s codex-shell`\n- `tmux attach -t codex-shell`\n- `tmux list-sessions`\n- `tmux kill-session -t codex-shell`\n\n### Frontend Aesthetics\n\nAvoid \"AI slop\" UI. Be opinionated and distinctive.\n\n**Do:**\n- **Typography:** pick a real font; avoid Inter/Roboto/Arial/system defaults\n- **Theme:** commit to a palette; use CSS vars; bold accents > timid gradients\n- **Motion:** 1–2 high-impact moments (staggered reveal beats random micro-anim)\n- **Background:** add depth (gradients/patterns), not flat default\n\n**Avoid:**\n- Purple-on-white clichés\n- Generic component grids\n- Predictable layouts\n\n## General\n\n- When in doubt, ask\n- Show your work — explain reasoning on complex decisions\n- If something seems off, say so"}],"isError":false,"timestamp":1774712141606}}
{"type":"message","id":"7f6f8b8a","parentId":"da2e0646","timestamp":"2026-03-28T15:35:45.443Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"pwd && git status --short && (docs-list . || bin/docs-list . || true)","timeout":20},"partialJson":"{\"command\":\"pwd && git status --short && (docs-list . || bin/docs-list . || true)\",\"timeout\":20}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"finder","arguments":{"query":"Assess feasibility of adding Hugging Face dataset upload/auth to this extension. Search this repo for gist push/upload/auth/settings/config UI/storage code, likely entrypoints, related docs/tests, and the files/lines I need to read before proposing an implementation. Enough found = main extension entrypoint, current push flow, config storage, auth-related code if any, UI for target selection."},"partialJson":"{\"query\":\"Assess feasibility of adding Hugging Face dataset upload/auth to this extension. Search this repo for gist push/upload/auth/settings/config UI/storage code, likely entrypoints, related docs/tests, and the files/lines I need to read before proposing an implementation. Enough found = main extension entrypoint, current push flow, config storage, auth-related code if any, UI for target selection.\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":2210,"output":159,"cacheRead":7040,"cacheWrite":0,"totalTokens":9409,"cost":{"input":0.005525,"output":0.002385,"cacheRead":0.0017599999999999998,"cacheWrite":0,"total":0.00967}},"stopReason":"toolUse","timestamp":1774712141618,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"bf168100","parentId":"7f6f8b8a","timestamp":"2026-03-28T15:35:45.704Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"[REDACTED_CWD]\nenv: tsx: No such file or directory\n/bin/bash: bin/docs-list: No such file or directory\n"}],"isError":false,"timestamp":1774712145704}}
{"type":"message","id":"609ac9f4","parentId":"bf168100","timestamp":"2026-03-28T15:40:18.796Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"finder","content":[{"type":"text","text":"Hi — small surface; good candidate for a 2nd publish backend.\n\n## Summary\nFeasible. Current upload path is isolated in one command handler, but it is hardcoded to GitHub Gist + external `gh` auth; no repo-local settings storage, auth flow, or target-selection abstraction found. Useful existing pieces: strong redaction/review pipeline already catches tokens/paths/private URLs, so adding Hugging Face auth/upload mostly means replacing the publisher layer and adding new config/UI.\n\n## Locations\n- `package.json:23-37` — package entry config; Pi loads `./extensions`, no separate config module or settings file surfaced here\n- `extensions/share-redacted-gist.ts:38-140` — main extension entrypoint and end-to-end publish flow\n- `extensions/share-redacted-gist.ts:144-206` — current CLI flag surface; no `--target`, auth, token, or settings flags\n- `extensions/share-redacted-gist.ts:209-263` — all non-review UI prompts; attestation + text inputs only\n- `extensions/share-redacted-gist.ts:101-125` — output staging: writes redacted session + `openagentsessions.json` to temp files before upload\n- `extensions/share-redacted-gist.ts:131-139` — current push is one shell-out: `gh gist create ...`\n- `extensions/share-redacted-gist.ts:344-376` — result parsing + final user message hardcode gist/openagentsessions semantics\n- `extensions/review-ui.ts:28-31` — review UI entrypoint\n- `extensions/review-ui.ts:47-69` — publish can proceed even with remaining suspicious values after review confirmation\n- `extensions/review-ui.ts:118-153` — manual literal/regex redaction actions; relevant if HF token patterns need extra masking during review\n- `extensions/review-ui.ts:163-275` — custom TUI key handling; review-only, no upload-target chooser here\n- `extensions/review-model.ts:103-155` — review blocks include assistant text, tool calls, tool results\n- `extensions/review-model.ts:198-258` — suspicious-value detection covers secrets, paths, private URLs, hostnames, private IPs\n- `extensions/redaction.ts:27-39` — auto-redaction entrypoint returns redacted text + stats\n- `extensions/redaction.ts:59-79` — secret findings replaced after generic rule pass\n- `extensions/redaction.ts:82-119` — built-in generic redaction rules for email/phone/IP/UUID/home path/windows path/private URL/cwd/home dir/username\n- `extensions/secret-scanner.ts:42-67` — pluggable secret detector stack used by redaction/review\n- `extensions/secret-scanner.ts:315-410` — auth-related code today = token detectors only, not login/storage\n- `README.md:9-18` — documented product flow: publish public GitHub gist with two files\n- `README.md:52-65` — documented flags + requirement that `gh` is already installed/authenticated\n- `extensions/share-redacted-gist.test.ts:5-18` — only publisher-specific tests; message formatting/fallback only\n- `extensions/review-model.test.ts:7-57` — tests prove review catches secrets/URLs/paths/tool outputs\n- `extensions/secret-scanner.test.ts:12-20` — tests prove provider-token detection precedes generic keyword matching\n\n## Evidence\n- `package.json:23-37` — only script/test/package wiring plus `pi.extensions: [\"./extensions\"]`; no config/settings surface exposed\n- `extensions/share-redacted-gist.ts:38-52` — registers `/share-redacted`; session source = explicit `--session` or `ctx.sessionManager.getSessionFile()`\n- `extensions/share-redacted-gist.ts:64-90` — current flow = redact → optional review UI → attestation gate\n- `extensions/share-redacted-gist.ts:101-139` — builds metadata, writes temp files, then uploads via `pi.exec(\"gh\", [\"gist\",\"create\",...])`\n- `extensions/share-redacted-gist.ts:144-206` — accepted flags are only `--session`, `--desc`, `--topic`, `--language`, `--tags`, `--no-review`, `--yes`\n- `extensions/share-redacted-gist.ts:219-263` — interactive UI asks for attestation, language, topic, tags; no target/auth prompts\n- `extensions/share-redacted-gist.ts:344-376` — output handling assumes a gist URL and openagentsessions submission flow\n- `README.md:15-18` — docs say it “creates a public GitHub gist” and prints the gist URL\n- `README.md:62-65` — auth dependency is externalized: \"`gh` CLI installed and authenticated\"\n- `extensions/review-model.ts:103-155` — review inspects tool-call args/results, not just user text\n- `extensions/review-model.ts:198-258` — review flags secrets, filesystem paths, private URLs/hosts/IPs; good safety net for future HF tokens/URLs\n- `extensions/redaction.ts:59-79` — auto-redaction already runs secret scanning over text before publish\n- `extensions/secret-scanner.ts:42-55` — built-in plugins include GitHub, OpenAI, Google, Slack, JWT, Bearer, keyword, entropy detectors\n- `extensions/secret-scanner.ts:315-410` — detector implementations redact tokens; no auth/session/token persistence logic exists here\n- `extensions/share-redacted-gist.test.ts:5-18` — no integration test for actual upload/auth; only final message behavior\n- `extensions/review-model.test.ts:7-57` — regression coverage already exercises secret/path/private-URL detection in realistic transcript/tool blocks\n\n## Searched\n- `fd -t f . extensions`\n- `rg -n --hidden -S \"hugging ?face|huggingface|hf_|dataset|upload|auth|oauth|login|token|credential|settings|config|storage|persist|target|provider\" .`\n- `rg -n \"registerCommand|pi.exec|ctx.ui\\\\.(input|confirm|custom)|sessionManager|getSessionFile\" extensions/*.ts README.md package.json`\n\nNo Hugging Face-specific code found. No repo-local settings/auth/storage implementation found beyond `ctx.sessionManager.getSessionFile()` for session discovery and secret redaction utilities.\n\n## Next steps (optional)\n- Check Pi extension API/docs for persistent settings/secret storage before designing HF auth UX\n- Decide MVP auth model: delegate to external HF CLI/env vs add token prompt/storage\n- Decide backend shape: parallel 2nd command/backend flag vs refactor current gist-only handler into publisher abstraction"}],"details":{"status":"done","workspace":"[REDACTED_CWD]","runs":[{"status":"done","query":"Assess feasibility of adding Hugging Face dataset upload/auth to this extension. Search this repo for gist push/upload/auth/settings/config UI/storage code, likely entrypoints, related docs/tests, and the files/lines I need to read before proposing an implementation. Enough found = main extension entrypoint, current push flow, config storage, auth-related code if any, UI for target selection.","turns":10,"toolCalls":[{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"pwd && echo '---' && ls -la && echo '--- AGENTS' && fd -HI '^AGENTS\\.md$' . .. ~ | sed 's#^#AGENT #'"},"startedAt":1774712151761,"endedAt":1774712253751,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","args":{"path":"[REDACTED_HOME_DIR]/coding/apps/agent-scripts/AGENTS.md"},"startedAt":1774712151761,"endedAt":1774712253751,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'FILES' && fd -H . extensions README.md package.json | sort && echo '--- TREE2' && fd -t f -d 3 . extensions | sort && echo '--- SEARCH' && rg -n --hidden -S \"gist|upload|push|auth|token|login|settings|config|storage|target|provider|hugging|dataset|share\" extensions README.md package.json"},"startedAt":1774712258372,"endedAt":1774712258445,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"(docs-list . 2>/dev/null || true) && (fd -HI '^docs$' . .. ~ | sed 's#^#DOCSDIR #' || true)"},"startedAt":1774712258373,"endedAt":1774712269145,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'ENTRYPOINTS' && rg -n \"registerCommand|export default function|pi\\.registerCommand|ctx\\.ui\\.|pi\\.exec|tempDir|writeFile|readFile|yesNo|input|select|notify\" extensions/share-redacted-gist.ts && echo '--- API-ish' && rg -n \"storage|store|config|setting|auth|token|login|credential|provider|target\" extensions/share-redacted-gist.ts extensions/*.ts README.md package.json"},"startedAt":1774712276589,"endedAt":1774712276655,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba extensions/share-redacted-gist.ts | sed -n '1,260p'"},"startedAt":1774712276589,"endedAt":1774712276655,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba extensions/share-redacted-gist.ts | sed -n '261,420p'"},"startedAt":1774712276589,"endedAt":1774712276655,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba package.json | sed -n '1,220p'"},"startedAt":1774712282724,"endedAt":1774712282753,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba README.md | sed -n '1,220p'"},"startedAt":1774712282725,"endedAt":1774712282754,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"rg -n --hidden -S \"settings|config|storage|persist|state|localStorage|sessionManager|getSessionFile|registerCommand|exec\\(|gh gist|input\\(|confirm\\(|select|picker|choose|target|provider\" extensions README.md package.json"},"startedAt":1774712282725,"endedAt":1774712282763,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'AUTH/HF' && rg -n --hidden -S \"hugging ?face|huggingface|hf_|dataset|gh auth|oauth|login|auth|token|credential|secret|keyring|store|storage|settings|config|preference|persist\" . --glob '!*.git/*'"},"startedAt":1774712288864,"endedAt":1774712288910,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba extensions/review-ui.ts | sed -n '1,220p'"},"startedAt":1774712288865,"endedAt":1774712288910,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba extensions/redaction.ts | sed -n '1,220p'"},"startedAt":1774712288865,"endedAt":1774712288910,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba extensions/secret-scanner.ts | sed -n '1,120p'"},"startedAt":1774712302415,"endedAt":1774712302438,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|fc_09ddb12d75577bdb0169c7f5f9970c8191b789f6a98f5bbf7b","name":"bash","args":{"command":"nl -ba extensions/secret-scanner.ts | sed -n '298,420p'"},"startedAt":1774712302415,"endedAt":1774712302438,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba extensions/share-redacted-gist.test.ts | sed -n '1,200p' && echo '---' && nl -ba extensions/secret-scanner.test.ts | sed -n '1,120p' && echo '---' && nl -ba extensions/redaction.test.ts | sed -n '1,120p'"},"startedAt":1774712302415,"endedAt":1774712302438,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba extensions/review-model.ts | sed -n '1,260p'"},"startedAt":1774712306893,"endedAt":1774712306922,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba extensions/review-model.test.ts | sed -n '1,180p'"},"startedAt":1774712306894,"endedAt":1774712306922,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba CHANGELOG.md | sed -n '1,120p'"},"startedAt":1774712306894,"endedAt":1774712306922,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"rg -n \"export default function|registerCommand\\(\" extensions/*.ts"},"startedAt":1774712325404,"endedAt":1774712325435,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"fd -t f . extensions | sort | nl -ba"},"startedAt":1774712325404,"endedAt":1774712325438,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"stat -f '%N %z bytes' README.md package.json extensions/share-redacted-gist.ts extensions/review-ui.ts extensions/review-model.ts extensions/redaction.ts extensions/secret-scanner.ts extensions/*.test.ts"},"startedAt":1774712325404,"endedAt":1774712325438,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba extensions/review-ui.ts | sed -n '220,320p'"},"startedAt":1774712354488,"endedAt":1774712354519,"isError":false}],"startedAt":1774712145693,"endedAt":1774712418795,"summaryText":"Hi — small surface; good candidate for a 2nd publish backend.\n\n## Summary\nFeasible. Current upload path is isolated in one command handler, but it is hardcoded to GitHub Gist + external `gh` auth; no repo-local settings storage, auth flow, or target-selection abstraction found. Useful existing pieces: strong redaction/review pipeline already catches tokens/paths/private URLs, so adding Hugging Face auth/upload mostly means replacing the publisher layer and adding new config/UI.\n\n## Locations\n- `package.json:23-37` — package entry config; Pi loads `./extensions`, no separate config module or settings file surfaced here\n- `extensions/share-redacted-gist.ts:38-140` — main extension entrypoint and end-to-end publish flow\n- `extensions/share-redacted-gist.ts:144-206` — current CLI flag surface; no `--target`, auth, token, or settings flags\n- `extensions/share-redacted-gist.ts:209-263` — all non-review UI prompts; attestation + text inputs only\n- `extensions/share-redacted-gist.ts:101-125` — output staging: writes redacted session + `openagentsessions.json` to temp files before upload\n- `extensions/share-redacted-gist.ts:131-139` — current push is one shell-out: `gh gist create ...`\n- `extensions/share-redacted-gist.ts:344-376` — result parsing + final user message hardcode gist/openagentsessions semantics\n- `extensions/review-ui.ts:28-31` — review UI entrypoint\n- `extensions/review-ui.ts:47-69` — publish can proceed even with remaining suspicious values after review confirmation\n- `extensions/review-ui.ts:118-153` — manual literal/regex redaction actions; relevant if HF token patterns need extra masking during review\n- `extensions/review-ui.ts:163-275` — custom TUI key handling; review-only, no upload-target chooser here\n- `extensions/review-model.ts:103-155` — review blocks include assistant text, tool calls, tool results\n- `extensions/review-model.ts:198-258` — suspicious-value detection covers secrets, paths, private URLs, hostnames, private IPs\n- `extensions/redaction.ts:27-39` — auto-redaction entrypoint returns redacted text + stats\n- `extensions/redaction.ts:59-79` — secret findings replaced after generic rule pass\n- `extensions/redaction.ts:82-119` — built-in generic redaction rules for email/phone/IP/UUID/home path/windows path/private URL/cwd/home dir/username\n- `extensions/secret-scanner.ts:42-67` — pluggable secret detector stack used by redaction/review\n- `extensions/secret-scanner.ts:315-410` — auth-related code today = token detectors only, not login/storage\n- `README.md:9-18` — documented product flow: publish public GitHub gist with two files\n- `README.md:52-65` — documented flags + requirement that `gh` is already installed/authenticated\n- `extensions/share-redacted-gist.test.ts:5-18` — only publisher-specific tests; message formatting/fallback only\n- `extensions/review-model.test.ts:7-57` — tests prove review catches secrets/URLs/paths/tool outputs\n- `extensions/secret-scanner.test.ts:12-20` — tests prove provider-token detection precedes generic keyword matching\n\n## Evidence\n- `package.json:23-37` — only script/test/package wiring plus `pi.extensions: [\"./extensions\"]`; no config/settings surface exposed\n- `extensions/share-redacted-gist.ts:38-52` — registers `/share-redacted`; session source = explicit `--session` or `ctx.sessionManager.getSessionFile()`\n- `extensions/share-redacted-gist.ts:64-90` — current flow = redact → optional review UI → attestation gate\n- `extensions/share-redacted-gist.ts:101-139` — builds metadata, writes temp files, then uploads via `pi.exec(\"gh\", [\"gist\",\"create\",...])`\n- `extensions/share-redacted-gist.ts:144-206` — accepted flags are only `--session`, `--desc`, `--topic`, `--language`, `--tags`, `--no-review`, `--yes`\n- `extensions/share-redacted-gist.ts:219-263` — interactive UI asks for attestation, language, topic, tags; no target/auth prompts\n- `extensions/share-redacted-gist.ts:344-376` — output handling assumes a gist URL and openagentsessions submission flow\n- `README.md:15-18` — docs say it “creates a public GitHub gist” and prints the gist URL\n- `README.md:62-65` — auth dependency is externalized: \"`gh` CLI installed and authenticated\"\n- `extensions/review-model.ts:103-155` — review inspects tool-call args/results, not just user text\n- `extensions/review-model.ts:198-258` — review flags secrets, filesystem paths, private URLs/hosts/IPs; good safety net for future HF tokens/URLs\n- `extensions/redaction.ts:59-79` — auto-redaction already runs secret scanning over text before publish\n- `extensions/secret-scanner.ts:42-55` — built-in plugins include GitHub, OpenAI, Google, Slack, JWT, Bearer, keyword, entropy detectors\n- `extensions/secret-scanner.ts:315-410` — detector implementations redact tokens; no auth/session/token persistence logic exists here\n- `extensions/share-redacted-gist.test.ts:5-18` — no integration test for actual upload/auth; only final message behavior\n- `extensions/review-model.test.ts:7-57` — regression coverage already exercises secret/path/private-URL detection in realistic transcript/tool blocks\n\n## Searched\n- `fd -t f . extensions`\n- `rg -n --hidden -S \"hugging ?face|huggingface|hf_|dataset|upload|auth|oauth|login|token|credential|settings|config|storage|persist|target|provider\" .`\n- `rg -n \"registerCommand|pi.exec|ctx.ui\\\\.(input|confirm|custom)|sessionManager|getSessionFile\" extensions/*.ts README.md package.json`\n\nNo Hugging Face-specific code found. No repo-local settings/auth/storage implementation found beyond `ctx.sessionManager.getSessionFile()` for session discovery and secret redaction utilities.\n\n## Next steps (optional)\n- Check Pi extension API/docs for persistent settings/secret storage before designing HF auth UX\n- Decide MVP auth model: delegate to external HF CLI/env vs add token prompt/storage\n- Decide backend shape: parallel 2nd command/backend flag vs refactor current gist-only handler into publisher abstraction"}],"subagentProvider":"openai-codex","subagentModelId":"gpt-5.4","subagentSelection":{"reason":"ctx.model fallback (PI_FINDER_MODELS unset/blank): openai-codex/gpt-5.4"}},"isError":false,"timestamp":1774712418796}}
{"type":"message","id":"d2f24698","parentId":"609ac9f4","timestamp":"2026-03-28T15:40:22.824Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting files and documentation**\n\nI think I need to check some files, along with the HF documentation. Using curl could be a way to access the docs page easily. I should look at package.json and the main files too. Reading through those relevant files might give me a clearer picture of what I need to do next. I'll make sure to take notes as I go along!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting files and documentation**\\n\\nI think I need to check some files, along with the HF documentation. Using curl could be a way to access the docs page easily. I should look at package.json and the main files too. Reading through those relevant files might give me a clearer picture of what I need to do next. I'll make sure to take notes as I go along!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"package.json"},"partialJson":"{\"path\":\"package.json\"}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|fc_03886e3c53d82c900169c7f67216f881918083063f60187625","name":"read","arguments":{"path":"README.md"},"partialJson":"{\"path\":\"README.md\"}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"extensions/share-redacted-gist.ts"},"partialJson":"{\"path\":\"extensions/share-redacted-gist.ts\"}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"python - <<'PY'\nimport requests\nurl='https://huggingface.co/docs/huggingface_hub/guides/upload'\ntext=requests.get(url,timeout=20).text\nprint(text[:20000])\nPY","timeout":30},"partialJson":"{\"command\":\"python - <<'PY'\\nimport requests\\nurl='https://huggingface.co/docs/huggingface_hub/guides/upload'\\ntext=requests.get(url,timeout=20).text\\nprint(text[:20000])\\nPY\",\"timeout\":30}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1695,"output":171,"cacheRead":9216,"cacheWrite":0,"totalTokens":11082,"cost":{"input":0.0042375,"output":0.002565,"cacheRead":0.002304,"cacheWrite":0,"total":0.0091065}},"stopReason":"toolUse","timestamp":1774712418798,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"2d0d5b33","parentId":"d2f24698","timestamp":"2026-03-28T15:40:22.829Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"{\n  \"name\": \"pi-share-redacted-gist\",\n  \"version\": \"0.5.0\",\n  \"description\": \"Pi package: publish a redacted pi session as a public GitHub gist\",\n  \"type\": \"module\",\n  \"license\": \"MIT\",\n  \"keywords\": [\n    \"pi-package\",\n    \"pi\",\n    \"pi-extension\",\n    \"gist\",\n    \"github\",\n    \"redaction\",\n    \"openagentsessions\"\n  ],\n  \"files\": [\n    \"extensions/*.ts\",\n    \"!extensions/*.test.ts\",\n    \"README.md\",\n    \"LICENSE\",\n    \"CHANGELOG.md\"\n  ],\n  \"scripts\": {\n    \"test\": \"bun test\",\n    \"check\": \"bun test && bun -e \\\"import('./extensions/share-redacted-gist.ts').then(() => console.log('ok'))\\\"\",\n    \"pack:check\": \"npm pack --dry-run\"\n  },\n  \"peerDependencies\": {\n    \"@mariozechner/pi-coding-agent\": \"*\"\n  },\n  \"publishConfig\": {\n    \"access\": \"public\"\n  },\n  \"pi\": {\n    \"extensions\": [\n      \"./extensions\"\n    ]\n  },\n  \"repository\": {\n    \"type\": \"git\",\n    \"url\": \"git+https://github.com/lukaskawerau/pi-share-redacted-gist.git\"\n  },\n  \"homepage\": \"https://github.com/lukaskawerau/pi-share-redacted-gist#readme\",\n  \"bugs\": {\n    \"url\": \"https://github.com/lukaskawerau/pi-share-redacted-gist/issues\"\n  }\n}\n"}],"isError":false,"timestamp":1774712422828}}
{"type":"message","id":"96f5b5c8","parentId":"2d0d5b33","timestamp":"2026-03-28T15:40:22.831Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|fc_03886e3c53d82c900169c7f67216f881918083063f60187625","toolName":"read","content":[{"type":"text","text":"# pi-share-redacted-gist\n\nPublish a redacted pi session as a public GitHub gist.\n\nInstalls one pi extension command:\n\n- `/share-redacted`\n\n## What it does\n\n- reads the current persisted pi session file, or `--session @path`\n- redacts common sensitive patterns plus a detect-secrets-inspired plugin stack for secrets/tokens\n- opens a transcript-style review UI by default\n- asks for publication attestation unless `--yes`\n- creates a public GitHub gist with:\n  - `<session>.redacted.jsonl`\n  - `openagentsessions.json`\n- prints the gist URL and submission hint for openagentsessions\n\n## Install\n\n```bash\npi install npm:pi-share-redacted-gist\n```\n\nThen inside pi:\n\n```text\n/reload\n```\n\n## Usage\n\n```text\n/share-redacted\n/share-redacted --session @~/.pi/agent/sessions/your-session.jsonl\n/share-redacted --topic \"auth bugfix\" --language \"typescript\" --tags \"bugfix,auth\"\n/share-redacted --desc \"Open agent session (CC0)\" --no-review --yes\n```\n\nReview UI:\n\n- transcript blocks instead of raw JSONL\n- highlights suspicious leftovers the automatic redactor did not catch\n- `r` redacts the current suspicious value everywhere\n- `s` marks the current suspicious value safe\n- `a` adds a literal global redaction\n- `x` adds a regex global redaction\n- `u` undoes the last manual action\n- `e` opens the raw editor as an escape hatch\n\nFlags:\n\n- `--session @path`\n- `--desc \"text\"`\n- `--topic \"text\"`\n- `--language \"text\"`\n- `--tags \"a,b,c\"`\n- `--no-review`\n- `--yes`\n\n## Requirements\n\n- `gh` CLI installed and authenticated\n- a persisted pi session file\n\n## Package notes\n\n- package code license: MIT\n- published session metadata license: `CC0-1.0`\n- secret scanning uses a detect-secrets-inspired plugin pipeline\n- built-in secret plugins:\n  - `PrivateKeyDetector`\n  - `GitHubTokenDetector`\n  - `AwsKeyDetector`\n  - `OpenAIDetector`\n  - `GoogleApiKeyDetector`\n  - `SlackTokenDetector`\n  - `JwtDetector`\n  - `BearerTokenDetector`\n  - `KeywordDetector`\n  - `HexHighEntropyString`\n  - `[REDACTED_OPAQUE]`\n  - `OpaqueTokenDetector`\n\n## Development\n\n```bash\nbun test\nbun run check\nnpm pack --dry-run\n```\n\n## Publish\n\n```bash\nnpm login\nnpm publish\n```\n"}],"isError":false,"timestamp":1774712422829}}
{"type":"message","id":"476d9ab5","parentId":"96f5b5c8","timestamp":"2026-03-28T15:40:22.846Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import { promises as fs } from \"node:fs\";\nimport os from \"node:os\";\nimport path from \"node:path\";\nimport { fileURLToPath, pathToFileURL } from \"node:url\";\n\nimport type { ExtensionAPI } from \"@mariozechner/pi-coding-agent\";\n\nimport { redactSensitive, type RedactionStat } from \"./redaction\";\n\ntype ShareArgs = {\n\tsessionPath?: string;\n\tdescription?: string;\n\ttopic?: string;\n\tlanguage?: string;\n\ttags?: string;\n\tyes: boolean;\n\tnoReview: boolean;\n};\n\ntype OpenAgentSessionsMetadata = {\n\tschema_version: \"1.0\";\n\tlicense: \"CC0-1.0\";\n\tconsent_confirmed: true;\n\tredaction_done: true;\n\tcreated_at: string;\n\tsession: {\n\t\tagent: \"pi-coding-agent\";\n\t\tmodel: string;\n\t\tlanguage: string;\n\t\ttopic: string;\n\t};\n\ttags: string[];\n\tredaction_stats: RedactionStat[];\n};\n\nconst COMMAND_NAME = \"share-redacted\";\n\nexport default function shareRedactedGist(pi: ExtensionAPI) {\n\tpi.registerCommand(COMMAND_NAME, {\n\t\tdescription: \"Publish redacted pi session + openagentsessions.json as public GitHub gist\",\n\t\thandler: async (rawArgs, ctx) => {\n\t\t\tconst args = parseArgs(rawArgs);\n\t\t\tif (args instanceof Error) {\n\t\t\t\tctx.ui.notify(args.message, \"error\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tconst sessionPath = args.sessionPath\n\t\t\t\t? resolvePath(ctx.cwd, args.sessionPath)\n\t\t\t\t: (ctx.sessionManager.getSessionFile() ?? undefined);\n\t\t\tif (!sessionPath) {\n\t\t\t\tctx.ui.notify(\"No persisted session file. Pass --session @/path/to/session.jsonl\", \"error\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tlet rawSession = \"\";\n\t\t\ttry {\n\t\t\t\trawSession = await fs.readFile(sessionPath, \"utf8\");\n\t\t\t} catch (error) {\n\t\t\t\tctx.ui.notify(`Failed reading session file: ${toErrorMessage(error)}`, \"error\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tconst { text: redactedSession, stats } = redactSensitive(rawSession, {\n\t\t\t\tcwd: ctx.cwd,\n\t\t\t\thomeDir: os.homedir(),\n\t\t\t\tusernameCandidates: collectUsernames(),\n\t\t\t});\n\n\t\t\tlet finalSessionText = redactedSession;\n\t\t\tif (ctx.hasUI && !args.noReview) {\n\t\t\t\tconst { reviewRedactions } = await importLocalModule<{ reviewRedactions: typeof import(\"./review-ui\").reviewRedactions }>(\"review-ui.ts\");\n\t\t\t\tconst reviewed = await reviewRedactions(ctx, redactedSession);\n\t\t\t\tif (!reviewed) {\n\t\t\t\t\tctx.ui.notify(\"Cancelled\", \"info\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\tfinalSessionText = reviewed.text;\n\t\t\t\tif (reviewed.manualRuleCount > 0) {\n\t\t\t\t\tctx.ui.notify(\n\t\t\t\t\t\t`Review applied ${reviewed.manualRuleCount} manual redaction rule(s); ${reviewed.remainingCandidates} suspicious value(s) left`,\n\t\t\t\t\t\t\"info\",\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tconst consentConfirmed = await confirmAttestation(ctx, args.yes, sessionPath, stats);\n\t\t\tif (!consentConfirmed) {\n\t\t\t\tctx.ui.notify(\"Attestation not confirmed. Stopped.\", \"warning\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tconst modelHint = extractModelFromSession(rawSession) ?? extractCurrentModel(ctx.model) ?? \"unknown\";\n\t\t\tconst language = await resolveField(ctx, args.language, \"Language\", \"Session language\", \"typescript\");\n\t\t\tif (!language) return;\n\t\t\tconst topic = await resolveField(ctx, args.topic, \"Topic\", \"Session topic\", \"general coding task\");\n\t\t\tif (!topic) return;\n\t\t\tconst tags = await resolveTags(ctx, args.tags, topic);\n\t\t\tif (!tags) return;\n\n\t\t\tconst metadata: OpenAgentSessionsMetadata = {\n\t\t\t\tschema_version: \"1.0\",\n\t\t\t\tlicense: \"CC0-1.0\",\n\t\t\t\tconsent_confirmed: true,\n\t\t\t\tredaction_done: true,\n\t\t\t\tcreated_at: isoTimestamp(),\n\t\t\t\tsession: {\n\t\t\t\t\tagent: \"pi-coding-agent\",\n\t\t\t\t\tmodel: modelHint,\n\t\t\t\t\tlanguage,\n\t\t\t\t\ttopic,\n\t\t\t\t},\n\t\t\t\ttags,\n\t\t\t\tredaction_stats: stats,\n\t\t\t};\n\n\t\t\tconst tmpDir = path.join(os.tmpdir(), `pi-openagentsession-${Date.now()}`);\n\t\t\tconst sessionFilename = redactedSessionFilename(sessionPath);\n\t\t\tconst sessionOut = path.join(tmpDir, sessionFilename);\n\t\t\tconst metadataOut = path.join(tmpDir, \"openagentsessions.json\");\n\n\t\t\ttry {\n\t\t\t\tawait fs.mkdir(tmpDir, { recursive: true });\n\t\t\t\tawait fs.writeFile(sessionOut, finalSessionText, \"utf8\");\n\t\t\t\tawait fs.writeFile(metadataOut, `${JSON.stringify(metadata, null, 2)}\\n`, \"utf8\");\n\t\t\t} catch (error) {\n\t\t\t\tctx.ui.notify(`Failed writing gist files: ${toErrorMessage(error)}`, \"error\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tconst description = args.description ?? \"Open agent session (CC0)\";\n\t\t\tconst gist = await pi.exec(\"gh\", [\"gist\", \"create\", sessionOut, metadataOut, \"--public\", \"--desc\", description]);\n\t\t\tif (gist.code !== 0) {\n\t\t\t\tctx.ui.notify(`gh gist create failed: ${gist.stderr.trim() || gist.stdout.trim()}`, \"error\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tconst url = resolvePublishedGistUrl(gist.stdout, gist.stderr);\n\t\t\tctx.ui.notify(buildSubmissionMessage(url), \"info\");\n\t\t},\n\t});\n}\n\nfunction parseArgs(raw: string): ShareArgs | Error {\n\tconst tokens = tokenizeArgs(raw.trim());\n\tconst args: ShareArgs = { yes: false, noReview: false };\n\n\tfor (let i = 0; i < tokens.length; i++) {\n\t\tconst token = [REDACTED_SECRET]]!;\n\t\tif (token === \"--help\") {\n\t\t\treturn new Error(\n\t\t\t\t\"Usage: /share-redacted [--session @path] [--desc \\\"text\\\"] [--topic \\\"text\\\"] [--language ts] [--tags a,b] [--no-review] [--yes]\",\n\t\t\t);\n\t\t}\n\t\tif (token === \"--yes\") {\n\t\t\targs.yes = true;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--no-review\") {\n\t\t\targs.noReview = true;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--session\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(\"Missing value for --session\");\n\t\t\targs.sessionPath = stripAtPrefix(value);\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--desc\" || token === \"--description\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(`Missing value for ${token}`);\n\t\t\targs.description = value;\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--topic\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(\"Missing value for --topic\");\n\t\t\targs.topic = value;\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--language\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(\"Missing value for --language\");\n\t\t\targs.language = value;\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--tags\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(\"Missing value for --tags\");\n\t\t\targs.tags = value;\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token.startsWith(\"--\")) return new Error(`Unknown flag: ${token}`);\n\t\tif (!args.sessionPath) {\n\t\t\targs.sessionPath = stripAtPrefix(token);\n\t\t\tcontinue;\n\t\t}\n\t\treturn new Error(`Unexpected argument: ${token}`);\n\t}\n\n\treturn args;\n}\n\nasync function confirmAttestation(\n\tctx: { hasUI: boolean; ui: { confirm: (title: string, message: string) => Promise<boolean> } },\n\tyes: boolean,\n\tsessionPath: string,\n\tstats: RedactionStat[],\n): Promise<boolean> {\n\tif (yes) return true;\n\tif (!ctx.hasUI) return false;\n\n\tconst summary = stats.length > 0 ? stats.map((s) => `${s.label}:${s.count}`).join(\", \") : \"no pattern matches\";\n\treturn ctx.ui.confirm(\n\t\t\"Attestation required (openagentsessions)\",\n\t\t[\n\t\t\t\"I confirm all of the following:\",\n\t\t\t\"- I have rights to publish this session\",\n\t\t\t\"- secrets/private data are redacted\",\n\t\t\t\"- I intend to publish under CC0-1.0\",\n\t\t\t\"\",\n\t\t\t`Session: [REDACTED_SECRET]}`,\n\t\t\t`Redaction summary: ${summary}`,\n\t\t\t\"\",\n\t\t\t\"Continue and create PUBLIC gist?\",\n\t\t].join(\"\\n\"),\n\t);\n}\n\nasync function resolveField(\n\tctx: { hasUI: boolean; ui: { input: (title: string, placeholder?: string) => Promise<string | undefined> } },\n\tprovided: string | undefined,\n\tlabel: string,\n\tplaceholder: string,\n\tfallback: string,\n): Promise<string | undefined> {\n\tif (provided?.trim()) return provided.trim();\n\tif (!ctx.hasUI) return fallback;\n\tconst value = await ctx.ui.input(label, placeholder);\n\tif (value === undefined) return undefined;\n\treturn value.trim() || fallback;\n}\n\nasync function resolveTags(\n\tctx: { hasUI: boolean; ui: { input: (title: string, placeholder?: string) => Promise<string | undefined> } },\n\ttagsArg: string | undefined,\n\ttopic: string,\n): Promise<string[] | undefined> {\n\tconst seed = tagsArg ?? topic;\n\tif (seed.trim()) {\n\t\tconst tags = splitTags(seed);\n\t\tif (tags.length > 0) return tags;\n\t}\n\tif (!ctx.hasUI) return [];\n\tconst typed = await ctx.ui.input(\"Tags\", \"comma-separated tags, e.g. bugfix,auth\");\n\tif (typed === undefined) return undefined;\n\treturn splitTags(typed);\n}\n\nfunction splitTags(input: string): string[] {\n\treturn [...new Set(input.split(\",\").map((part) => part.trim().toLowerCase()).filter(Boolean))];\n}\n\nfunction extractModelFromSession(rawSession: string): string | undefined {\n\tconst lines = rawSession.split(/\\r?\\n/);\n\tfor (const line of lines) {\n\t\tif (!line.trim()) continue;\n\t\tlet parsed: unknown;\n\t\ttry {\n\t\t\tparsed = JSON.parse(line);\n\t\t} catch {\n\t\t\tcontinue;\n\t\t}\n\t\tif (!isRecord(parsed) || parsed.type !== \"message\" || !isRecord(parsed.message)) continue;\n\t\tconst message = parsed.message;\n\t\tif (message.role !== \"assistant\") continue;\n\t\tconst model = typeof message.model === \"string\" ? message.model : undefined;\n\t\tconst provider = typeof message.provider === \"string\" ? message.provider : undefined;\n\t\tif (model && provider) return `${provider}/${model}`;\n\t\tif (model) return model;\n\t}\n\treturn undefined;\n}\n\nfunction extractCurrentModel(model: unknown): string | undefined {\n\tif (!isRecord(model)) return undefined;\n\tconst id = typeof model.id === \"string\" ? model.id : undefined;\n\tconst provider = typeof model.provider === \"string\" ? model.provider : undefined;\n\tif (id && provider) return `${provider}/${id}`;\n\treturn id;\n}\n\nfunction redactedSessionFilename(sessionPath: string): string {\n\tconst base = path.basename(sessionPath);\n\tif (base.endsWith(\".jsonl\")) return `${base.slice(0, -6)}.redacted.jsonl`;\n\tconst ext = path.extname(base);\n\tif (!ext) return `${base}.redacted.txt`;\n\treturn `${base.slice(0, -ext.length)}.redacted${ext}`;\n}\n\nfunction tokenizeArgs(input: string): string[] {\n\tif (!input.trim()) return [];\n\tconst tokens: string[] = [];\n\tlet current = \"\";\n\tlet quote: '\"' | \"'\" | null = null;\n\tfor (let i = 0; i < input.length; i++) {\n\t\tconst ch = input[i]!;\n\t\tif (quote) {\n\t\t\tif (ch === quote) quote = null;\n\t\t\telse current += ch;\n\t\t\tcontinue;\n\t\t}\n\t\tif (ch === '\"' || ch === \"'\") {\n\t\t\tquote = ch;\n\t\t\tcontinue;\n\t\t}\n\t\tif (/\\s/.test(ch)) {\n\t\t\tif (current) {\n\t\t\t\ttokens.push(current);\n\t\t\t\tcurrent = \"\";\n\t\t\t}\n\t\t\tcontinue;\n\t\t}\n\t\tcurrent += ch;\n\t}\n\tif (current) tokens.push(current);\n\treturn tokens;\n}\n\nfunction stripAtPrefix(value: string): string {\n\treturn value.startsWith(\"@\") ? value.slice(1) : value;\n}\n\nfunction resolvePath(cwd: string, value: string): string {\n\tconst normalized = stripAtPrefix(value);\n\treturn path.isAbsolute(normalized) ? normalized : path.resolve(cwd, normalized);\n}\n\nfunction resolvePublishedGistUrl(stdout: string, stderr: string): string | undefined {\n\tconst combined = `${stdout}\\n${stderr}`;\n\treturn extractGistUrl(combined) ?? extractFirstUrl(combined) ?? firstNonEmptyLine(stdout, stderr);\n}\n\nfunction extractGistUrl(text: string): string | undefined {\n\tconst match = text.match(/https?:\\/\\/gist\\.github\\.com\\/\\S+/);\n\treturn sanitizeExtractedUrl(match?.[0]);\n}\n\nfunction extractFirstUrl(text: string): string | undefined {\n\tconst match = text.match(/https?:\\/\\/\\S+/);\n\treturn sanitizeExtractedUrl(match?.[0]);\n}\n\nfunction sanitizeExtractedUrl(value: string | undefined): string | undefined {\n\treturn value?.replace(/[),.;]+$/, \"\").trim() || undefined;\n}\n\nfunction firstNonEmptyLine(...chunks: string[]): string | undefined {\n\tfor (const chunk of chunks) {\n\t\tfor (const line of chunk.split(/\\r?\\n/)) {\n\t\t\tconst trimmed = line.trim();\n\t\t\tif (trimmed) return trimmed;\n\t\t}\n\t}\n\treturn undefined;\n}\n\nexport function buildSubmissionMessage(url: string | undefined): string {\n\tconst submitUrl = \"https://openagentsessions.org/submit\";\n\tif (url) return `Gist: ${url} — submit at ${submitUrl} and paste that URL`;\n\treturn `Public gist created. Submit at ${submitUrl}. Could not parse gist URL from gh output.`;\n}\n\nfunction collectUsernames(): string[] {\n\tconst candidates = [path.basename(os.homedir()), process.env.USER ?? \"\", process.env.USERNAME ?? \"\"];\n\ttry {\n\t\tcandidates.unshift(os.userInfo().username);\n\t} catch {}\n\treturn [...new Set(candidates.map((entry) => entry.trim()).filter(Boolean))];\n}\n\nfunction toErrorMessage(error: unknown): string {\n\tif (error instanceof Error) return error.message;\n\treturn String(error);\n}\n\nfunction isRecord(value: unknown): value is Record<string, unknown> {\n\treturn typeof value === \"object\" && value !== null;\n}\n\nasync function importLocalModule<T>(filename: string): Promise<T> {\n\tconst currentFile = fileURLToPath(import.meta.url);\n\tconst resolvedCurrentFile = await fs.realpath(currentFile).catch(() => currentFile);\n\tconst moduleUrl = pathToFileURL(path.join(path.dirname(resolvedCurrentFile), filename)).href;\n\treturn (await import(moduleUrl)) as T;\n}\n\nfunction isoTimestamp(): string {\n\treturn new Date().toISOString().replace(/\\.\\d{3}Z$/, \"Z\");\n}\n"}],"isError":false,"timestamp":1774712422831}}
{"type":"message","id":"f6186357","parentId":"476d9ab5","timestamp":"2026-03-28T15:40:24.042Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"<!doctype html>\n<html class=\"\">\n\t<head>\n\t\t<meta charset=\"utf-8\" />\n\n\t\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0, user-scalable=no\" />\n\n\t\t<meta name=\"description\" content=\"We’re on a journey to advance and democratize artificial intelligence through open source and open science.\" />\n\n\t\t<meta property=\"fb:app_id\" content=\"1321688464574422\" />\n\n\t\t<meta name=\"twitter:card\" content=\"summary_large_image\" />\n\n\t\t<meta name=\"twitter:site\" content=\"@huggingface\" />\n\n\t\t<meta name=\"twitter:image\" content=\"https://cdn-thumbnails.huggingface.co/social-thumbnails/docs/huggingface_hub/guides/upload.png\" />\n\n\t\t<meta property=\"og:title\" content=\"Upload files to the Hub · Hugging 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files&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/download&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/download&quot;},{&quot;title&quot;:&quot;Upload files&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/upload&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/upload&quot;},{&quot;title&quot;:&quot;Buckets&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/buckets&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/buckets&quot;},{&quot;title&quot;:&quot;Use the CLI&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/cli&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/cli&quot;},{&quot;title&quot;:&quot;Create a CLI extension&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/cli-extensions&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/cli-extensions&quot;},{&quot;title&quot;:&quot;HfFileSystem&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/hf_file_system&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/hf_file_system&quot;},{&quot;title&quot;:&quot;Repository&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/repository&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/repository&quot;},{&quot;title&quot;:&quot;Search&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/search&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/search&quot;},{&quot;title&quot;:&quot;Inference&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/inference&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/inference&quot;},{&quot;title&quot;:&quot;Inference Endpoints&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/inference_endpoints&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/inference_endpoints&quot;},{&quot;title&quot;:&quot;Jobs&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/jobs&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/jobs&quot;},{&quot;title&quot;:&quot;Community Tab&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/community&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/community&quot;},{&quot;title&quot;:&quot;Collections&quot;,&quot;isExpanded&quot;:true,&quot;id&quot;:&quot;guides/collections&quot;,&quot;url&quot;:&quot;/docs/huggingface_hub/guides/collections&quot\n"}],"isError":false,"timestamp":1774712424040}}
{"type":"message","id":"3d8e56c0","parentId":"f6186357","timestamp":"2026-03-28T15:40:31.663Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Finding documentation sources**\n\nHTML doesn't seem useful here, and I think using the raw documentation from GitHub might be easier. Maybe searching the Hugging Face docs repository will help? I could consider employing a librarian tool for better navigation. Alternatively, utilizing a bash script with BeautifulSoup could be an option too. Perhaps fetching the markdown from the docs could provide the necessary information, especially if I search via the `/resolve/main` endpoint. Using the Hugging Face Hub docs source through the librarian seems like a solid plan.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Finding documentation sources**\\n\\nHTML doesn't seem useful here, and I think using the raw documentation from GitHub might be easier. Maybe searching the Hugging Face docs repository will help? I could consider employing a librarian tool for better navigation. Alternatively, utilizing a bash script with BeautifulSoup could be an option too. Perhaps fetching the markdown from the docs could provide the necessary information, especially if I search via the `/resolve/main` endpoint. Using the Hugging Face Hub docs source through the librarian seems like a solid plan.\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"librarian","arguments":{"query":"Find the source/docs for Hugging Face Hub upload files guide and relevant auth/token guidance, preferably the markdown or rst source with examples for uploading to datasets and repo creation. Need concise findings with repo paths and line-ranged evidence. Also look for JS/TS support or REST endpoints if available.","owners":["huggingface"],"maxSearchResults":10},"partialJson":"{\"query\":\"Find the source/docs for Hugging Face Hub upload files guide and relevant auth/token guidance, preferably the markdown or rst source with examples for uploading to datasets and repo creation. Need concise findings with repo paths and line-ranged evidence. Also look for JS/TS support or REST endpoints if available.\",\"owners\":[\"huggingface\"],\"maxSearchResults\":10}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":12432,"output":166,"cacheRead":10880,"cacheWrite":0,"totalTokens":23478,"cost":{"input":0.031080000000000003,"output":0.00249,"cacheRead":0.0027199999999999998,"cacheWrite":0,"total":0.03629}},"stopReason":"toolUse","timestamp":1774712424042,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"6d1c97da","parentId":"3d8e56c0","timestamp":"2026-03-28T15:42:46.660Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"librarian","content":[{"type":"text","text":"## Summary\nHi — found the canonical Hugging Face Hub doc sources for upload + repo creation in `huggingface_hub`, plus JS/TS usage in `huggingface.js`. Best source hits: Python Markdown guides for `create_repo` / `upload_file` / `upload_folder`; JS README for `accessToken`, dataset uploads, OAuth; TS source for REST endpoints.\n\n## Locations\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md:13-25` — Python upload guide; shows `HfApi.upload_file(...)` to a dataset repo via `repo_type=\"dataset\"`. GitHub: https://github.com/huggingface/huggingface_hub/blob/main/docs/source/en/guides/upload.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md:54-60` — same guide; `upload_folder(...)` example targeting `my-dataset/train` in a dataset repo. GitHub: https://github.com/huggingface/huggingface_hub/blob/main/docs/source/en/guides/upload.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/repository.md:34-63` — repo creation guide; `create_repo(...)` for model + dataset, plus CLI `hf repos create ... --repo-type dataset`. GitHub: https://github.com/huggingface/huggingface_hub/blob/main/docs/source/en/guides/repository.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/package_reference/authentication.md:5-21` — Python auth doc source; confirms login/logout/token-switching/listing-tokens coverage, though details are autodoc-generated. GitHub: https://github.com/huggingface/huggingface_hub/blob/main/docs/source/en/package_reference/authentication.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:28-59` — JS/TS package README; says generate an access token, then shows `whoAmI`, `createRepo`, `uploadFiles` with `accessToken`. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/README.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:118-123` — JS CLI dataset upload examples: `npx @huggingface/hub upload datasets/...` and `--repo-type dataset`. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/README.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:148-162` — JS OAuth login flow; `oauthLoginUrl` / `oauthHandleRedirectIfPresent`, returns `accessToken`. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/README.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/create-repo.ts:50-93` — JS/TS create-repo implementation; POSTs to `/api/repos/create` with `Authorization: [REDACTED_SECRET] ...`. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/create-repo.ts\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/upload-file.ts:28-40` — JS `uploadFile` delegates to commit machinery with `accessToken`/credentials. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/upload-file.ts\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:260-271` and `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:634-643` — JS/TS upload REST path details: preupload + commit endpoints under `/api/{type}s/{name}/...`, Bearer auth. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/commit.ts\n\n## Evidence\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md:13-25` — dataset upload-file example:\n  ```py\n  >>> api.upload_file(\n  ...     path_or_fileobj=\"/path/to/local/folder/README.md\",\n  ...     path_in_repo=\"README.md\",\n  ...     repo_id=\"username/test-dataset\",\n  ...     repo_type=\"dataset\",\n  ... )\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md:54-60` — dataset folder upload into subdir:\n  ```py\n  >>> api.upload_folder(\n  ...     folder_path=\"/path/to/local/folder\",\n  ...     path_in_repo=\"my-dataset/train\",\n  ...     repo_id=\"username/test-dataset\",\n  ...     repo_type=\"dataset\",\n  ... )\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/repository.md:52-63` — dataset repo creation:\n  ```py\n  >>> create_repo(\"lysandre/test-dataset\", repo_type=\"dataset\")\n  'https://huggingface.co/datasets/lysandre/test-dataset'\n  ```\n  and CLI:\n  ```bash\n  >>> hf repos create lysandre/test-dataset --repo-type dataset\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/package_reference/authentication.md:7-21` — Python auth doc source explicitly covers “logging in, logging out, switching between tokens, and listing available tokens”; this page is a doc-builder/autodoc stub, so examples live in generated docs rather than inline Markdown.\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:28-59` — JS/TS token guidance + examples:\n  ```ts\n  For some of the calls, you need to create an account and generate an access token\n  ...\n  const {name: username} = await hub.whoAmI({accessToken: \"[REDACTED_SECRET]\"});\n  await hub.createRepo({ repo, accessToken: \"[REDACTED_SECRET]\", license: \"mit\" });\n  await hub.uploadFiles({ repo, accessToken: \"[REDACTED_SECRET]\", ... })\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:118-123` — JS CLI supports dataset uploads:\n  ```console\n  npx @huggingface/hub upload datasets/coyotte508/test-dataset .\n  npx @huggingface/hub upload --repo-type dataset coyotte508/test-dataset .\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:148-162` — OAuth path returns usable token:\n  [REDACTED_SECRET]\n  import { oauthLoginUrl, [REDACTED_OPAQUE_BASE64] } from \"@huggingface/hub\";\n  ...\n  // You can use oauthResult.accessToken...\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/create-repo.ts:52-63` and `:63-93` — create-repo REST endpoints + auth:\n  [REDACTED_SECRET]\n  /api/buckets/{namespace}/{repoName}\n  /api/repos/create\n  Authorization: `[REDACTED_SECRET]`\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/upload-file.ts:28-40` — `uploadFile` is real JS API, passes auth through to commit.\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:260-271` and `:634-643` — upload flow hits:\n  ```ts\n  /api/${repoId.type}s/${repoId.name}/preupload/{branch}\n  /api/${repoId.type}s/${repoId.name}/commit/{branch}\n  Authorization: `[REDACTED_SECRET]`\n  ```"}],"details":{"status":"done","workspace":"/tmp/pi-librarian/run-prGaZh","runs":[{"status":"done","query":"Find the source/docs for Hugging Face Hub upload files guide and relevant auth/token guidance, preferably the markdown or rst source with examples for uploading to datasets and repo creation. Need concise findings with repo paths and line-ranged evidence. Also look for JS/TS support or REST endpoints if available.","turns":10,"toolCalls":[{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"set -euo pipefail\nprintf 'SEARCH 1\\n'\ngh search code 'upload_file repo_type=\"dataset\" create_repo token' --owner huggingface --json path,repository,url --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'\nprintf '\\nSEARCH 2\\n'\ngh search code 'upload_folder repo_type=\"dataset\"' --owner huggingface --json path,repository,url --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'\nprintf '\\nSEARCH 3\\n'\ngh search code 'create_repo token repo_type dataset' --owner huggingface --json path,repository,url --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'\n","timeout":30},"startedAt":1774712445046,"endedAt":1774712446736,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"set -euo pipefail\nprintf 'SEARCH A\\n'\ngh search code 'upload_file' --owner huggingface --json path,repository,url --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'\nprintf '\\nSEARCH B\\n'\ngh search code 'upload_folder' --owner huggingface --json path,repository,url --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'\nprintf '\\nSEARCH C\\n'\ngh search code 'create_repo(' --owner huggingface --json path,repository,url --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'\nprintf '\\nSEARCH D\\n'\ngh search code 'repo_type=\"dataset\"' --owner huggingface --json path,repository,url --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'\n","timeout":30},"startedAt":1774712452799,"endedAt":1774712456714,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"set -euo pipefail\nfor REPO in huggingface/huggingface_hub huggingface/huggingface.js; do\n  REF=$(gh repo view \"$REPO\" --json defaultBranchRef --jq '.defaultBranchRef.name')\n  echo \"REPO $REPO REF $REF\"\n  gh api \"repos/$REPO/git/trees/$REF?recursive=1\" > \"/tmp/$(basename $REPO)-tree.json\"\n  jq -r '.tree[] | .path' \"/tmp/$(basename $REPO)-tree.json\" | rg 'docs/source/.+(upload|auth|token|login|repository)|packages/.+(upload|auth|token)|README|docs/.+(upload|auth|token)' | head -n 80\n  echo\n done","timeout":60},"startedAt":1774712462642,"endedAt":1774712464752,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"set -euo pipefail\nREPO='huggingface/huggingface.js'; REF=$(gh repo view \"$REPO\" --json defaultBranchRef --jq '.defaultBranchRef.name')\ngh api \"repos/$REPO/git/trees/$REF?recursive=1\" | jq -r '.tree[] | .path' | rg 'packages/hub/src/lib/(create|repo|upload|whoami|login|token)|packages/hub/README.md' | sort\n","timeout":30},"startedAt":1774712471313,"endedAt":1774712472217,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"set -euo pipefail\nfetch() {\n  local REPO=\"$1\" FILE=\"$2\" REF\n  REF=$(gh repo view \"$REPO\" --json defaultBranchRef --jq '.defaultBranchRef.name')\n  mkdir -p \"repos/$REPO/$(dirname \"$FILE\")\"\n  gh api \"repos/$REPO/contents/$FILE?ref=$REF\" --jq .content | tr -d '\\n' | base64 --decode > \"repos/$REPO/$FILE\"\n}\nfetch huggingface/huggingface_hub docs/source/en/guides/upload.md\nfetch huggingface/huggingface_hub docs/source/en/guides/repository.md\nfetch huggingface/huggingface_hub docs/source/en/package_reference/authentication.md\nfetch huggingface/huggingface.js packages/hub/README.md\nfetch huggingface/huggingface.js packages/hub/src/lib/create-repo.ts\nfetch huggingface/huggingface.js packages/hub/src/lib/upload-file.ts\nfetch huggingface/huggingface.js packages/hub/src/lib/upload-files.ts\nprintf 'cached\\n'\nfind repos -type f | sort\n","timeout":60},"startedAt":1774712479879,"endedAt":1774712485315,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"set -euo pipefail\nrg -n 'create_repo|repo_type|dataset|upload_file|upload_folder|create a repo|Create a repo|login|token|accessToken|Bearer|api/|/api/' repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md repos/huggingface/huggingface_hub/docs/source/en/guides/repository.md repos/huggingface/huggingface_hub/docs/source/en/package_reference/authentication.md repos/huggingface/huggingface.js/packages/hub/README.md repos/huggingface/huggingface.js/packages/hub/src/lib/create-repo.ts repos/huggingface/huggingface.js/packages/hub/src/lib/upload-file.ts repos/huggingface/huggingface.js/packages/hub/src/lib/upload-files.ts | sed 's#^#/tmp/pi-librarian/run-prGaZh/#'\n","timeout":30},"startedAt":1774712490513,"endedAt":1774712490546,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"set -euo pipefail\nrg -n 'commit|api/.+commit|preupload|upload' repos/huggingface/huggingface.js/packages/hub/src/lib | sed 's#^#/tmp/pi-librarian/run-prGaZh/#' | head -n 80","timeout":30},"startedAt":1774712496837,"endedAt":1774712496863,"isError":false},{"id":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"set -euo pipefail\nREPO='huggingface/huggingface.js'; FILE='packages/hub/src/lib/commit.ts'; REF=$(gh repo view \"$REPO\" --json defaultBranchRef --jq '.defaultBranchRef.name'); mkdir -p \"repos/$REPO/$(dirname \"$FILE\")\"; gh api \"repos/$REPO/contents/$FILE?ref=$REF\" --jq .content | tr -d '\\n' | base64 --decode > \"repos/$REPO/$FILE\"; rg -n '/api/|Bearer|accessToken|repo_type|datasets/|commit' \"repos/$REPO/$FILE\" | sed 's#^#/tmp/pi-librarian/run-prGaZh/#'","timeout":30},"startedAt":1774712501400,"endedAt":1774712502312,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"set -euo pipefail\nshow(){ f=\"$1\"; a=\"$2\"; b=\"$3\"; echo \"FILE $f:$a-$b\"; nl -ba \"$f\" | sed -n \"${a},${b}p\"; echo; }\nshow repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md 13 28\nshow repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md 50 60\nshow repos/huggingface/huggingface_hub/docs/source/en/guides/repository.md 34 63\nshow repos/huggingface/huggingface_hub/docs/source/en/package_reference/authentication.md 1 21\nshow repos/huggingface/huggingface.js/packages/hub/README.md 28 59\nshow repos/huggingface/huggingface.js/packages/hub/README.md 118 123\nshow repos/huggingface/huggingface.js/packages/hub/README.md 148 162\nshow repos/huggingface/huggingface.js/packages/hub/src/lib/create-repo.ts 38 93\nshow repos/huggingface/huggingface.js/packages/hub/src/lib/upload-file.ts 19 40\nshow repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts 255 271\nshow repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts 630 646\n","timeout":30},"startedAt":1774712522142,"endedAt":1774712522206,"isError":false}],"startedAt":1774712431824,"endedAt":1774712566660,"summaryText":"## Summary\nHi — found the canonical Hugging Face Hub doc sources for upload + repo creation in `huggingface_hub`, plus JS/TS usage in `huggingface.js`. Best source hits: Python Markdown guides for `create_repo` / `upload_file` / `upload_folder`; JS README for `accessToken`, dataset uploads, OAuth; TS source for REST endpoints.\n\n## Locations\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md:13-25` — Python upload guide; shows `HfApi.upload_file(...)` to a dataset repo via `repo_type=\"dataset\"`. GitHub: https://github.com/huggingface/huggingface_hub/blob/main/docs/source/en/guides/upload.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md:54-60` — same guide; `upload_folder(...)` example targeting `my-dataset/train` in a dataset repo. GitHub: https://github.com/huggingface/huggingface_hub/blob/main/docs/source/en/guides/upload.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/repository.md:34-63` — repo creation guide; `create_repo(...)` for model + dataset, plus CLI `hf repos create ... --repo-type dataset`. GitHub: https://github.com/huggingface/huggingface_hub/blob/main/docs/source/en/guides/repository.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/package_reference/authentication.md:5-21` — Python auth doc source; confirms login/logout/token-switching/listing-tokens coverage, though details are autodoc-generated. GitHub: https://github.com/huggingface/huggingface_hub/blob/main/docs/source/en/package_reference/authentication.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:28-59` — JS/TS package README; says generate an access token, then shows `whoAmI`, `createRepo`, `uploadFiles` with `accessToken`. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/README.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:118-123` — JS CLI dataset upload examples: `npx @huggingface/hub upload datasets/...` and `--repo-type dataset`. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/README.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:148-162` — JS OAuth login flow; `oauthLoginUrl` / `oauthHandleRedirectIfPresent`, returns `accessToken`. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/README.md\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/create-repo.ts:50-93` — JS/TS create-repo implementation; POSTs to `/api/repos/create` with `Authorization: [REDACTED_SECRET] ...`. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/create-repo.ts\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/upload-file.ts:28-40` — JS `uploadFile` delegates to commit machinery with `accessToken`/credentials. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/upload-file.ts\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:260-271` and `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:634-643` — JS/TS upload REST path details: preupload + commit endpoints under `/api/{type}s/{name}/...`, Bearer auth. GitHub: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/commit.ts\n\n## Evidence\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md:13-25` — dataset upload-file example:\n  ```py\n  >>> api.upload_file(\n  ...     path_or_fileobj=\"/path/to/local/folder/README.md\",\n  ...     path_in_repo=\"README.md\",\n  ...     repo_id=\"username/test-dataset\",\n  ...     repo_type=\"dataset\",\n  ... )\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md:54-60` — dataset folder upload into subdir:\n  ```py\n  >>> api.upload_folder(\n  ...     folder_path=\"/path/to/local/folder\",\n  ...     path_in_repo=\"my-dataset/train\",\n  ...     repo_id=\"username/test-dataset\",\n  ...     repo_type=\"dataset\",\n  ... )\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/repository.md:52-63` — dataset repo creation:\n  ```py\n  >>> create_repo(\"lysandre/test-dataset\", repo_type=\"dataset\")\n  'https://huggingface.co/datasets/lysandre/test-dataset'\n  ```\n  and CLI:\n  ```bash\n  >>> hf repos create lysandre/test-dataset --repo-type dataset\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/package_reference/authentication.md:7-21` — Python auth doc source explicitly covers “logging in, logging out, switching between tokens, and listing available tokens”; this page is a doc-builder/autodoc stub, so examples live in generated docs rather than inline Markdown.\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:28-59` — JS/TS token guidance + examples:\n  ```ts\n  For some of the calls, you need to create an account and generate an access token\n  ...\n  const {name: username} = await hub.whoAmI({accessToken: \"[REDACTED_SECRET]\"});\n  await hub.createRepo({ repo, accessToken: \"[REDACTED_SECRET]\", license: \"mit\" });\n  await hub.uploadFiles({ repo, accessToken: \"[REDACTED_SECRET]\", ... })\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:118-123` — JS CLI supports dataset uploads:\n  ```console\n  npx @huggingface/hub upload datasets/coyotte508/test-dataset .\n  npx @huggingface/hub upload --repo-type dataset coyotte508/test-dataset .\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:148-162` — OAuth path returns usable token:\n  [REDACTED_SECRET]\n  import { oauthLoginUrl, [REDACTED_OPAQUE_BASE64] } from \"@huggingface/hub\";\n  ...\n  // You can use oauthResult.accessToken...\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/create-repo.ts:52-63` and `:63-93` — create-repo REST endpoints + auth:\n  [REDACTED_SECRET]\n  /api/buckets/{namespace}/{repoName}\n  /api/repos/create\n  Authorization: `[REDACTED_SECRET]`\n  ```\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/upload-file.ts:28-40` — `uploadFile` is real JS API, passes auth through to commit.\n- `/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:260-271` and `:634-643` — upload flow hits:\n  ```ts\n  /api/${repoId.type}s/${repoId.name}/preupload/{branch}\n  /api/${repoId.type}s/${repoId.name}/commit/{branch}\n  Authorization: `[REDACTED_SECRET]`\n  ```"}],"subagentProvider":"openai-codex","subagentModelId":"gpt-5.4","subagentSelection":{"reason":"ctx.model fallback (PI_LIBRARIAN_MODELS unset/blank): openai-codex/gpt-5.4"}},"isError":false,"timestamp":1774712566660}}
{"type":"message","id":"a411e17f","parentId":"6d1c97da","timestamp":"2026-03-28T15:42:52.176Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"finder","arguments":{"query":"Need Pi extension API capabilities for implementing Hugging Face auth + dataset selection. Search pi docs/examples for extension settings, secret storage, persistent storage, UI prompts, command API, and whether extensions can open browser/OAuth or store tokens. Return relevant doc paths and line-cited anchors. Scope: [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent/docs and examples."},"partialJson":"{\"query\":\"Need Pi extension API capabilities for implementing Hugging Face auth + dataset selection. Search pi docs/examples for extension settings, secret storage, persistent storage, UI prompts, command API, and whether extensions can open browser/OAuth or store tokens. Return relevant doc paths and line-cited anchors. Scope: [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent/docs and examples.\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":2088,"output":242,"cacheRead":23296,"cacheWrite":0,"totalTokens":25626,"cost":{"input":0.005220000000000001,"output":0.00363,"cacheRead":0.005823999999999999,"cacheWrite":0,"total":0.014674}},"stopReason":"toolUse","timestamp":1774712566661,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"0bc392a1","parentId":"a411e17f","timestamp":"2026-03-28T15:46:14.116Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"finder","content":[{"type":"text","text":"## Summary\nHi. Fast map; enough to wire HF auth + dataset picker.  \nScoped docs/examples confirm: extensions can register custom providers with `/login` OAuth flows, prompt users via `ctx.ui` (`select`/`input`/`editor`/`custom`), register slash commands with autocomplete, and persist non-secret state via session entries/tool `details`. Built-in credential storage is `~/.pi/agent/auth.json` (`HF_TOKEN` / `huggingface`, OAuth auto-refresh, `0600`); I did **not** find a separate extension secret-store/keychain API or a general browser-open API beyond OAuth callbacks.\n\n## Locations\n- `docs/providers.md:16-24` — built-in `/login`/`/logout`; OAuth tokens stored in `~/.pi/agent/auth.json` and auto-refresh.\n- `docs/providers.md:54-110` — built-in Hugging Face auth mapping (`HF_TOKEN` / `huggingface`), auth file format, `0600` perms, shell-command secret resolution.\n- `docs/custom-provider.md:211-299` — extension/provider OAuth API: `onAuth` (browser), `onDeviceCode`, `onPrompt`; credentials persisted in `auth.json`.\n- `docs/extensions.md:1268-1332` — extension-side `pi.registerProvider(...)` with `oauth` support; provider appears in `/login`.\n- `docs/extensions.md:734-740` — `ctx.ui` availability model; dialogs work in interactive/RPC, not print/JSON.\n- `docs/extensions.md:1099-1129` — slash-command API plus argument autocomplete for dataset names.\n- `docs/extensions.md:1046-1061` — `pi.appendEntry()` for persistent extension state outside LLM context.\n- `docs/extensions.md:1349-1377` — recommended state persistence via tool-result `details` for branch-safe restore.\n- `docs/extensions.md:1755-1909` — user prompt APIs (`select`, `confirm`, `input`, `editor`) plus `ctx.ui.custom()` for full custom picker UI.\n- `docs/session.md:1-9` — sessions are plain JSONL files on disk; relevant for judging whether session persistence is suitable for secrets.\n- `examples/extensions/custom-provider-qwen-cli/index.ts:213-240` — real device-code/browser auth example using OAuth callbacks.\n- `examples/extensions/custom-provider-qwen-cli/index.ts:334-340` — provider registers `oauth` login/refresh/getApiKey hooks.\n- `examples/extensions/custom-provider-anthropic/index.ts:78-95` — real auth-code flow: `onAuth` then `onPrompt`.\n- `examples/extensions/custom-provider-anthropic/index.ts:595-600` — provider `oauth` registration.\n- `examples/extensions/question.ts:40-65` — tool opens a custom option picker for user input.\n- `examples/extensions/question.ts:198-223` — picker returns selected/typed answer in `details`; useful model for dataset selection.\n- `examples/extensions/tools.ts:26-35` — persists extension UI state with `appendEntry`.\n- `examples/extensions/tools.ts:38-59` — restores persisted state from session branch.\n- `examples/extensions/tools.ts:67-105` — custom “settings” UI built with `ctx.ui.custom()` + `SettingsList`.\n- `examples/extensions/preset.ts:8-10` — example extension-specific config files under `~/.pi/agent` and `.pi`.\n- `examples/extensions/preset.ts:69-97` — extension manually reads/merges JSON config; suggests no first-class extension-settings API in scoped docs.\n- `docs/sdk.md:324-350` — SDK-level `AuthStorage` controls `auth.json` location and runtime key overrides; app-level, not documented as extension API.\n- `examples/sdk/09-api-keys-and-oauth.ts:9-33` — concrete `AuthStorage.create()` / custom auth path / runtime API-key override example.\n\n## Evidence\n- `docs/providers.md:16-24` — `/login` is the built-in auth entrypoint; `/logout` clears creds; tokens live in `~/.pi/agent/auth.json` and auto-refresh.\n- `docs/providers.md:54-74` — Hugging Face uses env var `HF_TOKEN` and auth-file key `huggingface`.\n- `docs/providers.md:76-110` — `auth.json` schema, `0600` permissions, and secret-manager indirection via shell commands (`!security ...`, `!op ...`).\n- `docs/custom-provider.md:225-289` — provider OAuth supports browser redirect (`onAuth`), device code (`onDeviceCode`), and manual prompt (`onPrompt`).\n- `docs/custom-provider.md:294-301` — OAuth credentials persist in `~/.pi/agent/auth.json`.\n- `docs/extensions.md:1298-1329` — extensions can register providers with `oauth` hooks; those providers show up in `/login`.\n- `docs/extensions.md:734-740` — UI prompting only works when `ctx.hasUI` is true; RPC supports dialogs too.\n- `docs/extensions.md:1099-1129` — extensions can add slash commands and command-argument autocomplete.\n- `docs/extensions.md:1046-1061` — `pi.appendEntry()` persists extension state and can be restored on `session_start`.\n- `docs/extensions.md:1351-1377` — preferred persistent state for branch-aware tools is tool-result `details`.\n- `docs/extensions.md:1758-1768` — built-in prompt primitives: `select`, `confirm`, `input`, `editor`.\n- `docs/extensions.md:1882-1909` — `ctx.ui.custom()` gives full TUI + keyboard control for richer dataset pickers.\n- `docs/session.md:1-9` — session persistence is plain JSONL on disk, so it is not a secret-specific store.\n- `examples/extensions/custom-provider-qwen-cli/index.ts:213-240` — working device-flow example: show auth URL, poll token, return refresh/access/expires.\n- `examples/extensions/custom-provider-qwen-cli/index.ts:334-340` — provider wires `login`, `refreshToken`, `getApiKey`, `modifyModels`.\n- `examples/extensions/custom-provider-anthropic/index.ts:78-95` — working browser auth-code example: `onAuth` + `onPrompt`.\n- `examples/extensions/question.ts:40-65` — custom picker tool pattern for “ask user to choose from options”.\n- `examples/extensions/question.ts:198-223` — selected value is returned/persisted as structured `details`.\n- `examples/extensions/tools.ts:26-35` — session persistence for UI-selected config via `appendEntry`.\n- `examples/extensions/tools.ts:38-59` — restore persisted extension state from current branch.\n- `examples/extensions/tools.ts:67-105` — “settings-like” toggle UI built entirely in extension code.\n- `examples/extensions/preset.ts:8-10` and `examples/extensions/preset.ts:69-97` — extension config is implemented manually with JSON files in `~/.pi/agent` / `.pi`.\n- `docs/sdk.md:326-350` and `examples/sdk/09-api-keys-and-oauth.ts:9-33` — SDK apps can control auth storage path and runtime key overrides via `AuthStorage`, but this is separate from the documented extension API.\n\n## Searched\n- Scope: `docs/`, `examples/`\n- Commands:\n  - `fd . docs -d 2`\n  - `fd . examples -d 3`\n  - `rg -n -S \"setting|settings|secret|token|oauth|browser|open.*browser|persistent|storage|store|prompt|ui|command|dataset|auth|hugging ?face|login|keychain|credential\" docs examples`\n  - `rg -n \"appendEntry|registerCommand|ctx\\\\.ui\\\\.|oauth|onAuth|onPrompt|onDeviceCode|AuthStorage|settingsManager|HF_TOKEN|huggingface\" docs/extensions.md docs/custom-provider.md docs/providers.md docs/sdk.md examples/extensions examples/sdk`\n  - negative check: `rg -n \"openExternal|openBrowser|browser.*open|keychain|secret storage|secretStore|credential store|ctx\\\\.settings|settingsManager|AuthStorage|authStorage\" docs/extensions.md docs/custom-provider.md docs/providers.md docs/sdk.md examples/extensions examples/sdk`\n- Not found in scoped docs/examples:\n  - dedicated extension secret-storage/keychain API\n  - general extension browser/open-external API outside OAuth callbacks\n  - first-class extension settings schema/API in `docs/extensions.md`\n\n## Next steps (optional)\n- Inspect installed type defs in `dist/*.d.ts` for exact `OAuthLoginCallbacks` shape; examples suggest extras (`signal`, `instructions`) beyond the doc excerpt.\n- If you need extension-owned secret persistence rather than provider `/login`, inspect runtime source/types for any undocumented auth-write API before designing around session entries."}],"details":{"status":"done","workspace":"[REDACTED_CWD]","runs":[{"status":"done","query":"Need Pi extension API capabilities for implementing Hugging Face auth + dataset selection. 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?face|login|webview|input|select|picker|secret storage|localStorage|keychain|credential|extension\" docs examples","timeout":20},"startedAt":1774712580516,"endedAt":1774712580589,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent && nl -ba docs/extensions.md | sed -n '1,260p'","timeout":20},"startedAt":1774712590262,"endedAt":1774712590278,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent && nl -ba docs/settings.md | sed -n '1,260p'","timeout":20},"startedAt":1774712590262,"endedAt":1774712590278,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent && 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'1,125p'","timeout":20},"startedAt":1774712640224,"endedAt":1774712640232,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent && nl -ba examples/extensions/confirm-destructive.ts | sed -n '1,70p'","timeout":20},"startedAt":1774712640224,"endedAt":1774712640232,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent && nl -ba docs/session.md | sed -n '1,40p;360,390p'","timeout":20},"startedAt":1774712655275,"endedAt":1774712655290,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent && nl -ba examples/extensions/custom-provider-qwen-cli/index.ts | sed -n '1,40p;213,240p;330,340p'","timeout":20},"startedAt":1774712655275,"endedAt":1774712655291,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent && nl -ba examples/extensions/custom-provider-anthropic/index.ts | sed -n '1,25p;78,100p;592,600p'","timeout":20},"startedAt":1774712655275,"endedAt":1774712655292,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent && rg -n \"Hugging ?Face|huggingface|HF_TOKEN|dataset\" docs examples","timeout":20},"startedAt":1774712660701,"endedAt":1774712660714,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent && rg -n \"signal|instructions\" docs/custom-provider.md docs/extensions.md examples/extensions/custom-provider-qwen-cli/index.ts examples/extensions/custom-provider-anthropic/index.ts","timeout":20},"startedAt":1774712675105,"endedAt":1774712675121,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent && rg -n \"openExternal|openBrowser|open.*browser|browser.*open|keychain|secret storage|secretStore|credential store|ctx\\.settings|settingsManager|AuthStorage|authStorage\" docs/extensions.md docs/custom-provider.md docs/providers.md docs/sdk.md examples/extensions examples/sdk","timeout":20},"startedAt":1774712734749,"endedAt":1774712734787,"isError":false}],"startedAt":1774712572325,"endedAt":1774712774114,"summaryText":"## Summary\nHi. Fast map; enough to wire HF auth + dataset picker.  \nScoped docs/examples confirm: extensions can register custom providers with `/login` OAuth flows, prompt users via `ctx.ui` (`select`/`input`/`editor`/`custom`), register slash commands with autocomplete, and persist non-secret state via session entries/tool `details`. Built-in credential storage is `~/.pi/agent/auth.json` (`HF_TOKEN` / `huggingface`, OAuth auto-refresh, `0600`); I did **not** find a separate extension secret-store/keychain API or a general browser-open API beyond OAuth callbacks.\n\n## Locations\n- `docs/providers.md:16-24` — built-in `/login`/`/logout`; OAuth tokens stored in `~/.pi/agent/auth.json` and auto-refresh.\n- `docs/providers.md:54-110` — built-in Hugging Face auth mapping (`HF_TOKEN` / `huggingface`), auth file format, `0600` perms, shell-command secret resolution.\n- `docs/custom-provider.md:211-299` — extension/provider OAuth API: `onAuth` (browser), `onDeviceCode`, `onPrompt`; credentials persisted in `auth.json`.\n- `docs/extensions.md:1268-1332` — extension-side `pi.registerProvider(...)` with `oauth` support; provider appears in `/login`.\n- `docs/extensions.md:734-740` — `ctx.ui` availability model; dialogs work in interactive/RPC, not print/JSON.\n- `docs/extensions.md:1099-1129` — slash-command API plus argument autocomplete for dataset names.\n- `docs/extensions.md:1046-1061` — `pi.appendEntry()` for persistent extension state outside LLM context.\n- `docs/extensions.md:1349-1377` — recommended state persistence via tool-result `details` for branch-safe restore.\n- `docs/extensions.md:1755-1909` — user prompt APIs (`select`, `confirm`, `input`, `editor`) plus `ctx.ui.custom()` for full custom picker UI.\n- `docs/session.md:1-9` — sessions are plain JSONL files on disk; relevant for judging whether session persistence is suitable for secrets.\n- `examples/extensions/custom-provider-qwen-cli/index.ts:213-240` — real device-code/browser auth example using OAuth callbacks.\n- `examples/extensions/custom-provider-qwen-cli/index.ts:334-340` — provider registers `oauth` login/refresh/getApiKey hooks.\n- `examples/extensions/custom-provider-anthropic/index.ts:78-95` — real auth-code flow: `onAuth` then `onPrompt`.\n- `examples/extensions/custom-provider-anthropic/index.ts:595-600` — provider `oauth` registration.\n- `examples/extensions/question.ts:40-65` — tool opens a custom option picker for user input.\n- `examples/extensions/question.ts:198-223` — picker returns selected/typed answer in `details`; useful model for dataset selection.\n- `examples/extensions/tools.ts:26-35` — persists extension UI state with `appendEntry`.\n- `examples/extensions/tools.ts:38-59` — restores persisted state from session branch.\n- `examples/extensions/tools.ts:67-105` — custom “settings” UI built with `ctx.ui.custom()` + `SettingsList`.\n- `examples/extensions/preset.ts:8-10` — example extension-specific config files under `~/.pi/agent` and `.pi`.\n- `examples/extensions/preset.ts:69-97` — extension manually reads/merges JSON config; suggests no first-class extension-settings API in scoped docs.\n- `docs/sdk.md:324-350` — SDK-level `AuthStorage` controls `auth.json` location and runtime key overrides; app-level, not documented as extension API.\n- `examples/sdk/09-api-keys-and-oauth.ts:9-33` — concrete `AuthStorage.create()` / custom auth path / runtime API-key override example.\n\n## Evidence\n- `docs/providers.md:16-24` — `/login` is the built-in auth entrypoint; `/logout` clears creds; tokens live in `~/.pi/agent/auth.json` and auto-refresh.\n- `docs/providers.md:54-74` — Hugging Face uses env var `HF_TOKEN` and auth-file key `huggingface`.\n- `docs/providers.md:76-110` — `auth.json` schema, `0600` permissions, and secret-manager indirection via shell commands (`!security ...`, `!op ...`).\n- `docs/custom-provider.md:225-289` — provider OAuth supports browser redirect (`onAuth`), device code (`onDeviceCode`), and manual prompt (`onPrompt`).\n- `docs/custom-provider.md:294-301` — OAuth credentials persist in `~/.pi/agent/auth.json`.\n- `docs/extensions.md:1298-1329` — extensions can register providers with `oauth` hooks; those providers show up in `/login`.\n- `docs/extensions.md:734-740` — UI prompting only works when `ctx.hasUI` is true; RPC supports dialogs too.\n- `docs/extensions.md:1099-1129` — extensions can add slash commands and command-argument autocomplete.\n- `docs/extensions.md:1046-1061` — `pi.appendEntry()` persists extension state and can be restored on `session_start`.\n- `docs/extensions.md:1351-1377` — preferred persistent state for branch-aware tools is tool-result `details`.\n- `docs/extensions.md:1758-1768` — built-in prompt primitives: `select`, `confirm`, `input`, `editor`.\n- `docs/extensions.md:1882-1909` — `ctx.ui.custom()` gives full TUI + keyboard control for richer dataset pickers.\n- `docs/session.md:1-9` — session persistence is plain JSONL on disk, so it is not a secret-specific store.\n- `examples/extensions/custom-provider-qwen-cli/index.ts:213-240` — working device-flow example: show auth URL, poll token, return refresh/access/expires.\n- `examples/extensions/custom-provider-qwen-cli/index.ts:334-340` — provider wires `login`, `refreshToken`, `getApiKey`, `modifyModels`.\n- `examples/extensions/custom-provider-anthropic/index.ts:78-95` — working browser auth-code example: `onAuth` + `onPrompt`.\n- `examples/extensions/question.ts:40-65` — custom picker tool pattern for “ask user to choose from options”.\n- `examples/extensions/question.ts:198-223` — selected value is returned/persisted as structured `details`.\n- `examples/extensions/tools.ts:26-35` — session persistence for UI-selected config via `appendEntry`.\n- `examples/extensions/tools.ts:38-59` — restore persisted extension state from current branch.\n- `examples/extensions/tools.ts:67-105` — “settings-like” toggle UI built entirely in extension code.\n- `examples/extensions/preset.ts:8-10` and `examples/extensions/preset.ts:69-97` — extension config is implemented manually with JSON files in `~/.pi/agent` / `.pi`.\n- `docs/sdk.md:326-350` and `examples/sdk/09-api-keys-and-oauth.ts:9-33` — SDK apps can control auth storage path and runtime key overrides via `AuthStorage`, but this is separate from the documented extension API.\n\n## Searched\n- Scope: `docs/`, `examples/`\n- Commands:\n  - `fd . docs -d 2`\n  - `fd . examples -d 3`\n  - `rg -n -S \"setting|settings|secret|token|oauth|browser|open.*browser|persistent|storage|store|prompt|ui|command|dataset|auth|hugging ?face|login|keychain|credential\" docs examples`\n  - `rg -n \"appendEntry|registerCommand|ctx\\\\.ui\\\\.|oauth|onAuth|onPrompt|onDeviceCode|AuthStorage|settingsManager|HF_TOKEN|huggingface\" docs/extensions.md docs/custom-provider.md docs/providers.md docs/sdk.md examples/extensions examples/sdk`\n  - negative check: `rg -n \"openExternal|openBrowser|browser.*open|keychain|secret storage|secretStore|credential store|ctx\\\\.settings|settingsManager|AuthStorage|authStorage\" docs/extensions.md docs/custom-provider.md docs/providers.md docs/sdk.md examples/extensions examples/sdk`\n- Not found in scoped docs/examples:\n  - dedicated extension secret-storage/keychain API\n  - general extension browser/open-external API outside OAuth callbacks\n  - first-class extension settings schema/API in `docs/extensions.md`\n\n## Next steps (optional)\n- Inspect installed type defs in `dist/*.d.ts` for exact `OAuthLoginCallbacks` shape; examples suggest extras (`signal`, `instructions`) beyond the doc excerpt.\n- If you need extension-owned secret persistence rather than provider `/login`, inspect runtime source/types for any undocumented auth-write API before designing around session entries."}],"subagentProvider":"openai-codex","subagentModelId":"gpt-5.4","subagentSelection":{"reason":"ctx.model fallback (PI_FINDER_MODELS unset/blank): openai-codex/gpt-5.4"}},"isError":false,"timestamp":1774712774114}}
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{"type":"message","id":"2a51177c","parentId":"fbd29578","timestamp":"2026-03-28T15:46:33.638Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"# Providers\n\nPi supports subscription-based providers via OAuth and API key providers via environment variables or auth file. For each provider, pi knows all available models. The list is updated with every pi release.\n\n## Table of Contents\n\n- [Subscriptions](#subscriptions)\n- [API Keys](#api-keys)\n- [Auth File](#auth-file)\n- [Cloud Providers](#cloud-providers)\n- [Custom Providers](#custom-providers)\n- [Resolution Order](#resolution-order)\n\n## Subscriptions\n\nUse `/login` in interactive mode, then select a provider:\n\n- Claude Pro/Max\n- ChatGPT Plus/Pro (Codex)\n- GitHub Copilot\n- Google Gemini CLI\n- Google Antigravity\n\nUse `/logout` to clear credentials. Tokens are stored in `~/.pi/agent/auth.json` and auto-refresh when expired.\n\n### GitHub Copilot\n\n- Press Enter for github.com, or enter your GitHub Enterprise Server domain\n- If you get \"model not supported\", enable it in VS Code: Copilot Chat → model selector → select model → \"Enable\"\n\n### Google Providers\n\n- **Gemini CLI**: Standard Gemini models via Cloud Code Assist\n- **Antigravity**: Sandbox with Gemini 3, Claude, and GPT-OSS models\n- Both free with any Google account, subject to rate limits\n- For paid Cloud Code Assist: set `GOOGLE_CLOUD_PROJECT` env var\n\n### OpenAI Codex\n\n- Requires ChatGPT Plus or Pro subscription\n- Personal use only; for production, use the OpenAI Platform API\n\n## API Keys\n\n### Environment Variables or Auth File\n\nSet via environment variable:\n\n```bash\nexport ANTHROPIC_API_KEY=sk-ant-...\npi\n```\n\n| Provider | Environment Variable | `auth.json` key |\n|----------|----------------------|------------------|\n| Anthropic | `ANTHROPIC_API_KEY` | `anthropic` |\n| Azure OpenAI Responses | `AZURE_OPENAI_API_KEY` | `azure-openai-responses` |\n| OpenAI | `OPENAI_API_KEY` | `openai` |\n| Google Gemini | `GEMINI_API_KEY` | `google` |\n| Mistral | `MISTRAL_API_KEY` | `mistral` |\n| Groq | `GROQ_API_KEY` | `groq` |\n| Cerebras | `CEREBRAS_API_KEY` | `cerebras` |\n| xAI | `XAI_API_KEY` | `xai` |\n| OpenRouter | `OPENROUTER_API_KEY` | `openrouter` |\n| Vercel AI Gateway | `AI_GATEWAY_API_KEY` | `vercel-ai-gateway` |\n| ZAI | `ZAI_API_KEY` | `zai` |\n| OpenCode Zen | `OPENCODE_API_KEY` | `opencode` |\n| OpenCode Go | `OPENCODE_API_KEY` | `opencode-go` |\n| Hugging Face | `HF_TOKEN` | `huggingface` |\n| Kimi For Coding | `KIMI_API_KEY` | `kimi-coding` |\n| MiniMax | `MINIMAX_API_KEY` | `minimax` |\n| MiniMax (China) | `MINIMAX_CN_API_KEY` | `minimax-cn` |\n\nReference for environment variables and `auth.json` keys: [`const envMap`](https://github.com/badlogic/pi-mono/blob/main/packages/ai/src/env-api-keys.ts) in [`packages/ai/src/env-api-keys.ts`](https://github.com/badlogic/pi-mono/blob/main/packages/ai/src/env-api-keys.ts).\n\n#### Auth File\n\nStore credentials in `~/.pi/agent/auth.json`:\n\n```json\n{\n  \"anthropic\": { \"type\": \"api_key\", \"key\": \"sk-ant-...\" },\n  \"openai\": { \"type\": \"api_key\", \"key\": \"sk-...\" },\n  \"google\": { \"type\": \"api_key\", \"key\": \"...\" },\n  \"opencode\": { \"type\": \"api_key\", \"key\": \"...\" },\n  \"opencode-go\": { \"type\": \"api_key\", \"key\": \"...\" }\n}\n```\n\nThe file is created with `0600` permissions (user read/write only). Auth file credentials take priority over environment variables.\n\n### Key Resolution\n\nThe `key` field supports three formats:\n\n- **Shell command:** `\"!command\"` executes and uses stdout (cached for process lifetime)\n  ```json\n  { \"type\": \"api_key\", \"key\": \"!security find-generic-password -ws 'anthropic'\" }\n  { \"type\": \"api_key\", \"key\": \"!op read 'op://vault/item/credential'\" }\n  ```\n- **Environment variable:** Uses the value of the named variable\n  ```json\n  { \"type\": \"api_key\", \"key\": \"MY_ANTHROPIC_KEY\" }\n  ```\n- **Literal value:** Used directly\n  ```json\n  { \"type\": \"api_key\", \"key\": \"sk-ant-...\" }\n  ```\n\nOAuth credentials are also stored here after `/login` and managed automatically.\n\n## Cloud Providers\n\n### Azure OpenAI\n\n```bash\nexport AZURE_OPENAI_API_KEY=...\nexport AZURE_OPENAI_BASE_URL=https://your-resource.openai.azure.com\n# or use resource name instead of base URL\nexport AZURE_OPENAI_RESOURCE_NAME=your-resource\n\n# Optional\nexport AZURE_OPENAI_API_VERSION=2024-02-01\nexport AZURE_OPENAI_DEPLOYMENT_NAME_MAP=gpt-4=my-gpt4,gpt-4o=my-gpt4o\n```\n\n### Amazon Bedrock\n\n```bash\n# Option 1: AWS Profile\nexport AWS_PROFILE=your-profile\n\n# Option 2: IAM Keys\nexport AWS_ACCESS_KEY_ID=AKIA...\nexport AWS_SECRET_ACCESS_KEY=...\n\n# Option 3: Bearer Token\nexport AWS_BEARER_TOKEN_BEDROCK=...\n\n# Optional region (defaults to us-east-1)\nexport AWS_REGION=us-west-2\n```\n\nAlso supports ECS task roles (`AWS_CONTAINER_CREDENTIALS_*`) and IRSA (`AWS_WEB_IDENTITY_TOKEN_FILE`).\n\n```bash\npi --provider amazon-bedrock --model us.anthropic.claude-sonnet-4-20250514-v1:0\n```\n\nPrompt caching is enabled automatically for Claude models whose ID contains a recognizable model name (base models and system-defined inference profiles). For application inference profiles (whose ARNs don't contain the model name), set `AWS_BEDROCK_FORCE_CACHE=1` to enable cache points:\n\n```bash\nexport AWS_BEDROCK_FORCE_CACHE=1\npi --provider amazon-bedrock --model arn:aws:bedrock:us-east-1:123456789012:application-inference-profile/abc123\n```\n\nIf you are connecting to a Bedrock API proxy, the following environment variables can be used:\n\n```bash\n# Set the URL for the Bedrock proxy (standard AWS SDK env var)\nexport AWS_ENDPOINT_URL_BEDROCK_RUNTIME=https://my.corp.proxy/bedrock\n\n# Set if your proxy does not require authentication\nexport AWS_BEDROCK_SKIP_AUTH=1\n\n# Set if your proxy only supports HTTP/1.1\nexport AWS_BEDROCK_FORCE_HTTP1=1\n```\n\n### Google Vertex AI\n\nUses Application Default Credentials:\n\n```bash\ngcloud auth application-default login\nexport GOOGLE_CLOUD_PROJECT=your-project\nexport GOOGLE_CLOUD_LOCATION=us-central1\n```\n\nOr set `GOOGLE_APPLICATION_CREDENTIALS` to a service account key file.\n\n## Custom Providers\n\n**Via models.json:** Add Ollama, LM Studio, vLLM, or any provider that speaks a supported API (OpenAI Completions, OpenAI Responses, Anthropic Messages, Google Generative AI). See [models.md](models.md).\n\n**Via extensions:** For providers that need custom API implementations or OAuth flows, create an extension. See [custom-provider.md](custom-provider.md) and [examples/extensions/custom-provider-gitlab-duo](../examples/extensions/custom-provider-gitlab-duo/).\n\n## Resolution Order\n\nWhen resolving credentials for a provider:\n\n1. CLI `--api-key` flag\n2. `auth.json` entry (API key or OAuth token)\n3. Environment variable\n4. Custom provider keys from `models.json`\n"}],"isError":false,"timestamp":1774712793631}}
{"type":"message","id":"59442be2","parentId":"2a51177c","timestamp":"2026-03-28T15:46:33.646Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"## OAuth Support\n\nAdd OAuth/SSO authentication that integrates with `/login`:\n\n```typescript\nimport type { OAuthCredentials, OAuthLoginCallbacks } from \"@mariozechner/pi-ai\";\n\npi.registerProvider(\"corporate-ai\", {\n  baseUrl: \"https://ai.corp.com/v1\",\n  api: \"openai-responses\",\n  models: [...],\n  oauth: {\n    name: \"Corporate AI (SSO)\",\n\n    async login(callbacks: OAuthLoginCallbacks): Promise<OAuthCredentials> {\n      // Option 1: Browser-based OAuth\n      callbacks.onAuth({ url: \"https://sso.corp.com/authorize?...\" });\n\n      // Option 2: Device code flow\n      callbacks.onDeviceCode({\n        userCode: \"ABCD-1234\",\n        verificationUri: \"https://sso.corp.com/device\"\n      });\n\n      // Option 3: Prompt for token/code\n      const code = await callbacks.onPrompt({ message: \"Enter SSO code:\" });\n\n      // Exchange for tokens (your implementation)\n      const tokens = await exchangeCodeForTokens(code);\n\n      return {\n        refresh: tokens.refreshToken,\n        access: tokens.accessToken,\n        expires: Date.now() + tokens.expiresIn * 1000\n      };\n    },\n\n    async refreshToken(credentials: OAuthCredentials): Promise<OAuthCredentials> {\n      const tokens = await refreshAccessToken(credentials.refresh);\n      return {\n        refresh: tokens.refreshToken ?? credentials.refresh,\n        access: tokens.accessToken,\n        expires: Date.now() + tokens.expiresIn * 1000\n      };\n    },\n\n    getApiKey(credentials: OAuthCredentials): string {\n      return credentials.access;\n    },\n\n    // Optional: modify models based on user's subscription\n    modifyModels(models, credentials) {\n      const region = decodeRegionFromToken(credentials.access);\n      return models.map(m => ({\n        ...m,\n        baseUrl: `https://${region}.ai.corp.com/v1`\n      }));\n    }\n  }\n});\n```\n\nAfter registration, users can authenticate via `/login corporate-ai`.\n\n### OAuthLoginCallbacks\n\nThe `callbacks` object provides three ways to authenticate:\n\n```typescript\ninterface OAuthLoginCallbacks {\n  // Open URL in browser (for OAuth redirects)\n  onAuth(params: { url: string }): void;\n\n  // Show device code (for device authorization flow)\n  onDeviceCode(params: { userCode: string; verificationUri: string }): void;\n\n  // Prompt user for input (for manual token entry)\n  onPrompt(params: { message: string }): Promise<string>;\n}\n```\n\n### OAuthCredentials\n\nCredentials are persisted in `~/.pi/agent/auth.json`:\n\n```typescript\ninterface OAuthCredentials {\n  refresh: string;   // Refresh token (for refreshToken())\n  access: string;    // Access token (returned by getApiKey())\n  expires: number;   // Expiration timestamp in milliseconds\n}\n```\n\n## Custom Streaming API\n\nFor providers with non-standard APIs, implement `streamSimple`. Study the existing provider implementations before writing your own:\n\n**Reference implementations:**\n- [anthropic.ts](https://github.com/badlogic/pi-mono/blob/main/packages/ai/src/providers/anthropic.ts) - Anthropic Messages API\n- [mistral.ts](https://github.com/badlogic/pi-mono/blob/main/packages/ai/src/providers/mistral.ts) - Mistral Conversations API\n- [openai-completions.ts](https://github.com/badlogic/pi-mono/blob/main/packages/ai/src/providers/openai-completions.ts) - OpenAI Chat Completions\n- [openai-responses.ts](https://github.com/badlogic/pi-mono/blob/main/packages/ai/src/providers/openai-responses.ts) - OpenAI Responses API\n- [google.ts](https://github.com/badlogic/pi-mono/blob/main/packages/ai/src/providers/google.ts) - Google Generative AI\n- [amazon-bedrock.ts](https://github.com/badlogic/pi-mono/blob/main/packages/ai/src/providers/amazon-bedrock.ts) - AWS Bedrock\n\n### Stream Pattern\n\nAll providers follow the same pattern:\n\n```typescript\nimport {\n  type AssistantMessage,\n  type AssistantMessageEventStream,\n  type Context,\n  type Model,\n  type SimpleStreamOptions,\n  calculateCost,\n  createAssistantMessageEventStream,\n} from \"@mariozechner/pi-ai\";\n\nfunction streamMyProvider(\n  model: Model<any>,\n  context: Context,\n  options?: SimpleStreamOptions\n): AssistantMessageEventStream {\n  const stream = createAssistantMessageEventStream();\n\n  (async () => {\n    // Initialize output message\n    const output: AssistantMessage = {\n      role: \"assistant\",\n      content: [],\n      api: model.api,\n      provider: model.provider,\n      model: model.id,\n      usage: {\n        input: 0,\n        output: 0,\n        cacheRead: 0,\n        cacheWrite: 0,\n\n[247 more lines in file. Use offset=351 to continue.]"}],"isError":false,"timestamp":1774712793644}}
{"type":"message","id":"d4b8210a","parentId":"59442be2","timestamp":"2026-03-28T15:46:33.651Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"### pi.appendEntry(customType, data?)\n\nPersist extension state (does NOT participate in LLM context).\n\n```typescript\npi.appendEntry(\"my-state\", { count: 42 });\n\n// Restore on reload\npi.on(\"session_start\", async (_event, ctx) => {\n  for (const entry of ctx.sessionManager.getEntries()) {\n    if (entry.type === \"custom\" && entry.customType === \"my-state\") {\n      // Reconstruct from entry.data\n    }\n  }\n});\n```\n\n### pi.setSessionName(name)\n\nSet the session display name (shown in session selector instead of first message).\n\n```typescript\npi.setSessionName(\"Refactor auth module\");\n```\n\n### pi.getSessionName()\n\nGet the current session name, if set.\n\n```typescript\nconst name = pi.getSessionName();\nif (name) {\n  console.log(`Session: [REDACTED_SECRET]}`);\n}\n```\n\n### pi.setLabel(entryId, label)\n\nSet or clear a label on an entry. Labels are user-defined markers for bookmarking and navigation (shown in `/tree` selector).\n\n```typescript\n// Set a label\npi.setLabel(entryId, \"checkpoint-before-refactor\");\n\n// Clear a label\npi.setLabel(entryId, undefined);\n\n// Read labels via sessionManager\nconst label = ctx.sessionManager.getLabel(entryId);\n```\n\nLabels persist in the session and survive restarts. Use them to mark important points (turns, checkpoints) in the conversation tree.\n\n### pi.registerCommand(name, options)\n\nRegister a command.\n\nIf multiple extensions register the same command name, pi keeps them all and assigns numeric invocation suffixes in load order, for example `/review:1` and `/review:2`.\n\n```typescript\npi.registerCommand(\"stats\", {\n  description: \"Show session statistics\",\n  handler: async (args, ctx) => {\n    const count = ctx.sessionManager.getEntries().length;\n    ctx.ui.notify(`${count} entries`, \"info\");\n  }\n});\n```\n\nOptional: add argument auto-completion for `/command ...`:\n\n```typescript\nimport type { AutocompleteItem } from \"@mariozechner/pi-tui\";\n\npi.registerCommand(\"deploy\", {\n  description: \"Deploy to an environment\",\n  getArgumentCompletions: (prefix: string): AutocompleteItem[] | null => {\n    const envs = [\"dev\", \"staging\", \"prod\"];\n    const items = envs.map((e) => ({ value: e, label: e }));\n    const filtered = items.filter((i) => i.value.startsWith(prefix));\n    return filtered.length > 0 ? filtered : null;\n  },\n  handler: async (args, ctx) => {\n    ctx.ui.notify(`Deploying: ${args}`, \"info\");\n  },\n});\n```\n\n### pi.getCommands()\n\n\n[1002 more lines in file. Use offset=1136 to continue.]"}],"isError":false,"timestamp":1774712793650}}
{"type":"message","id":"2094cc76","parentId":"d4b8210a","timestamp":"2026-03-28T15:46:33.656Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"# 🤗 Hugging Face Hub API\n\nOfficial utilities to use the Hugging Face Hub API.\n\n## Install\n\n```console\npnpm add @huggingface/hub\n\nnpm add @huggingface/hub\n\nyarn add @huggingface/hub\n```\n\n### Deno\n\n```ts\n// esm.sh\nimport { uploadFiles, listModels } from \"https://esm.sh/@huggingface/hub\"\n// or npm:\nimport { uploadFiles, listModels } from \"npm:@huggingface/hub\"\n```\n\nCheck out the [full documentation](https://huggingface.co/docs/huggingface.js/hub/README).\n\n## Usage\n\nFor some of the calls, you need to create an account and generate an [access token](https://huggingface.co/settings/tokens).\n\nLearn how to find free models using the hub package in this [interactive tutorial](https://scrimba.com/scrim/c7BbVPcd?pl=pkVnrP7uP).\n\n```ts\nimport * as hub from \"@huggingface/hub\";\nimport type { RepoDesignation } from \"@huggingface/hub\";\n\nconst repo: RepoDesignation = { type: \"model\", name: \"myname/some-model\" };\n\nconst {name: username} = await hub.whoAmI({accessToken: \"[REDACTED_SECRET]\"});\n\nfor await (const model of hub.listModels({search: {owner: username}, accessToken: \"[REDACTED_SECRET]\"})) {\n  console.log(\"My model:\", model);\n}\n\nconst specificModel = await hub.modelInfo({name: \"openai-community/gpt2\"});\nawait hub.checkRepoAccess({repo, accessToken: \"[REDACTED_SECRET]\"});\n\nawait hub.createRepo({ repo, accessToken: \"[REDACTED_SECRET]\", license: \"mit\" });\n\nawait hub.uploadFiles({\n  repo,\n  accessToken: \"[REDACTED_SECRET]\",\n  files: [\n    // path + blob content\n    {\n      path: \"file.txt\",\n      content: new Blob([\"Hello World\"]),\n    },\n    // Local file URL\n    pathToFileURL(\"./pytorch-model.bin\"),\n    // Local folder URL\n    pathToFileURL(\"./models\"),\n    // Web URL\n    new URL(\"https://huggingface.co/xlm-roberta-base/resolve/main/tokenizer.json\"),\n    // Path + Web URL\n    {\n      path: \"myfile.bin\",\n      content: new URL(\"https://huggingface.co/bert-base-uncased/resolve/main/pytorch_model.bin\")\n    }\n    // Can also work with native File in browsers\n  ],\n});\n\n// or\n\nfor await (const progressEvent of await hub.uploadFilesWithProgress({\n  repo,\n  accessToken: \"[REDACTED_SECRET]\",\n  files: [\n    ...\n  ],\n})) {\n  console.log(progressEvent);\n}\n\n// Edit a file by adding prefix & suffix\nawait commit({\n  repo,\n  accessToken: \"[REDACTED_SECRET]\",\n  operations: [{\n    type: \"edit\",\n    originalContent: originalFile,\n    edits: [{\n      start: 0,\n      end: 0,\n      content: new Blob([\"prefix\"])\n    }, {\n      start: originalFile.length,\n      end: originalFile.length,\n      content: new Blob([\"suffix\"])\n    }]\n  }]\n})\n\nawait hub.deleteFile({repo, accessToken: \"[REDACTED_SECRET]\", path: \"myfile.bin\"});\n\nawait (await hub.downloadFile({ repo, path: \"README.md\" })).text();\n\nfor await (const fileInfo of hub.listFiles({repo})) {\n  console.log(fileInfo);\n}\n\nawait hub.deleteRepo({ repo, accessToken: \"[REDACTED_SECRET]\" });\n```\n\n## CLI usage\n\nYou can use `@huggingface/hub` in CLI mode to upload files and folders to your repo. \n\n```console\nnpx @huggingface/hub upload coyotte508/test-model .\nnpx @huggingface/hub upload datasets/coyotte508/test-dataset .\n# Same thing\nnpx @huggingface/hub upload --repo-type dataset coyotte508/test-dataset .\n# Upload new data with 0 history in a separate branch\nnpx @huggingface/hub branch create coyotte508/test-model release --empty\nnpx @huggingface/hub upload coyotte508/test-model . --revision release\n\nnpx @huggingface/hub --help\nnpx @huggingface/hub upload --help\n```\n\nYou can also install globally with `npm install -g @huggingface/hub`. Then you can do:\n\n```console\nhfjs upload coyotte508/test-model .\n\nhfjs branch create --repo-type dataset coyotte508/test-dataset release --empty\nhfjs upload --repo-type dataset coyotte508/test-dataset . --revision release\n\nhfjs --help\nhfjs  upload --help\n\nhfjs help jobs\n```\n\n## OAuth Login\n\nIt's possible to login using OAuth ([\"Sign in with HF\"](https://huggingface.co/docs/hub/oauth)).\n\nThis will allow you get an access token to use some of the API, depending on the scopes set inside the Space or the OAuth App.\n\n```ts\nimport { oauthLoginUrl, oauthHandleRedirectIfPresent } from \"@huggingface/hub\";\n\nconst oauthResult = await oauthHandleRedirectIfPresent();\n\nif (!oauthResult) {\n  // If the user is not logged in, redirect to the login page\n  window.location.href = await oauthLoginUrl();\n}\n\n// You can use oauthResult.accessToken, oauthResult.accessTokenExpiresAt and oauthResult.userInfo\nconsole.log(oauthResult);\n```\n\nCheckout the demo: https://huggingface.co/spaces/huggingfacejs/client-side-oauth\n\n## Hugging face cache\n\nThe `@huggingface/hub` package provide basic capabilities to scan the cache directory. Learn more about [Manage huggingface_hub cache-system](https://huggingface.co/docs/huggingface_hub/en/guides/manage-cache).\n\n### `scanCacheDir`\n\nYou can get the list of cached repositories using the `scanCacheDir` function.\n\n```ts\nimport { scanCacheDir } from \"@huggingface/hub\";\n\nconst result = await scanCacheDir();\n\nconsole.log(result);\n```\nNote: this does not work in the browser\n\n### `downloadFileToCacheDir`\n\nYou can cache a file of a repository using the `downloadFileToCacheDir` function.\n\n```ts\nimport { downloadFileToCacheDir } from \"@huggingface/hub\";\n\nconst file = await downloadFileToCacheDir({\n  repo: 'foo/bar',\n  path: 'README.md'\n});\n\nconsole.log(file);\n```\nNote: this does not work in the browser\n\n### `snapshotDownload`\n\nYou can download an entire repository at a given revision in the cache directory using the `snapshotDownload` function.\n\n```ts\nimport { snapshotDownload } from \"@huggingface/hub\";\n\nconst directory = await snapshotDownload({\n  repo: 'foo/bar',\n});\n\nconsole.log(directory);\n```\nThe code use internally the `downloadFileToCacheDir` function.\n\nNote: this does not work in the browser\n\n## Performance considerations\n\nWhen uploading large files, you may want to run the `commit` calls inside a worker, to offload the sha256 computations.\n\n[9 more lines in file. Use offset=221 to continue.]"}],"isError":false,"timestamp":1774712793655}}
{"type":"message","id":"a2f2c4f1","parentId":"2094cc76","timestamp":"2026-03-28T15:46:39.432Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md"},"partialJson":"{\"path\":\"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/upload.md\"}"},{"type":"toolCall","id":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/repository.md","offset":1,"limit":140},"partialJson":"{\"path\":\"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface_hub/docs/source/en/guides/repository.md\",\"offset\":1,\"limit\":140}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/create-repo.ts","offset":1,"limit":130},"partialJson":"{\"path\":\"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/create-repo.ts\",\"offset\":1,\"limit\":130}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/upload-file.ts","offset":1,"limit":80},"partialJson":"{\"path\":\"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/upload-file.ts\",\"offset\":1,\"limit\":80}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":5116,"output":225,"cacheRead":28416,"cacheWrite":0,"totalTokens":33757,"cost":{"input":0.012790000000000001,"output":0.003375,"cacheRead":0.007104,"cacheWrite":0,"total":0.023269}},"stopReason":"toolUse","timestamp":1774712793657,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"79c0dd6f","parentId":"a2f2c4f1","timestamp":"2026-03-28T15:46:39.463Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"<!--⚠️ Note that this file is in Markdown but contains specific syntax for our doc-builder (similar to MDX) that may not be\nrendered properly in your Markdown viewer.\n-->\n\n# Upload files to the Hub\n\nSharing your files and work is an important aspect of the Hub. The `huggingface_hub` offers several options for uploading your files to the Hub. You can use these functions independently or integrate them into your library, making it more convenient for your users to interact with the Hub.\n\nWhenever you want to upload files to the Hub, you need to log in to your Hugging Face account. For more details about authentication, check out [this section](../quick-start#authentication).\n\n## Upload a file\n\nOnce you've created a repository with [`create_repo`], you can upload a file to your repository using [`upload_file`].\n\nSpecify the path of the file to upload, where you want to upload the file to in the repository, and the name of the repository you want to add the file to. Depending on your repository type, you can optionally set the repository type as a `dataset`, `model`, or `space`.\n\n```py\n>>> from huggingface_hub import HfApi\n>>> api = HfApi()\n>>> api.upload_file(\n...     path_or_fileobj=\"/path/to/local/folder/README.md\",\n...     path_in_repo=\"README.md\",\n...     repo_id=\"username/test-dataset\",\n...     repo_type=\"dataset\",\n... )\n```\n\n## Upload a folder\n\nUse the [`upload_folder`] function to upload a local folder to an existing repository. Specify the path of the local folder\nto upload, where you want to upload the folder to in the repository, and the name of the repository you want to add the\nfolder to. Depending on your repository type, you can optionally set the repository type as a `dataset`, `model`, or `space`.\n\n```py\n>>> from huggingface_hub import HfApi\n>>> api = HfApi()\n\n# Upload all the content from the local folder to your remote Space.\n# By default, files are uploaded at the root of the repo\n>>> api.upload_folder(\n...     folder_path=\"/path/to/local/space\",\n...     repo_id=\"username/my-cool-space\",\n...     repo_type=\"space\",\n... )\n```\n\nBy default, the `.gitignore` file will be taken into account to know which files should be committed or not. By default we check if a `.gitignore` file is present in a commit, and if not, we check if it exists on the Hub. Please be aware that only a `.gitignore` file present at the root of the directory will be used. We do not check for `.gitignore` files in subdirectories.\n\nIf you don't want to use an hardcoded `.gitignore` file, you can use the `allow_patterns` and `ignore_patterns` arguments to filter which files to upload. These parameters accept either a single pattern or a list of patterns. Patterns are Standard Wildcards (globbing patterns) as documented [here](https://tldp.org/LDP/GNU-Linux-Tools-Summary/html/x11655.htm). If both `allow_patterns` and `ignore_patterns` are provided, both constraints apply.\n\nBeside the `.gitignore` file and allow/ignore patterns, any `.git/` folder present in any subdirectory will be ignored.\n\n```py\n>>> api.upload_folder(\n...     folder_path=\"/path/to/local/folder\",\n...     path_in_repo=\"my-dataset/train\", # Upload to a specific folder\n...     repo_id=\"username/test-dataset\",\n...     repo_type=\"dataset\",\n...     ignore_patterns=\"**/logs/*.txt\", # Ignore all text logs\n... )\n```\n\nYou can also use the `delete_patterns` argument to specify files you want to delete from the repo in the same commit.\nThis can prove useful if you want to clean a remote folder before pushing files in it and you don't know which files\nalready exists.\n\nThe example below uploads the local `./logs` folder to the remote `/experiment/logs/` folder. Only txt files are uploaded\nbut before that, all previous logs on the repo on deleted. All of this in a single commit.\n```py\n>>> api.upload_folder(\n...     folder_path=\"/path/to/local/folder/logs\",\n...     repo_id=\"username/trained-model\",\n...     path_in_repo=\"experiment/logs/\",\n...     allow_patterns=\"*.txt\", # Upload all local text files\n...     delete_patterns=\"*.txt\", # Delete all remote text files before\n... )\n```\n\n## Upload from the CLI\n\nYou can use the `hf upload` command from the terminal to directly upload files to the Hub. Internally it uses the same [`upload_file`] and [`upload_folder`] helpers described above.\n\nYou can either upload a single file or an entire folder:\n\n```bash\n# Usage:  hf upload [repo_id] [local_path] [path_in_repo]\n>>> hf upload Wauplin/my-cool-model ./models/model.safetensors model.safetensors\nhttps://huggingface.co/Wauplin/my-cool-model/blob/main/model.safetensors\n\n>>> hf upload Wauplin/my-cool-model ./models .\nhttps://huggingface.co/Wauplin/my-cool-model/tree/main\n```\n\n`local_path` and `path_in_repo` are optional and can be implicitly inferred. If `local_path` is not set, the tool will\ncheck if a local folder or file has the same name as the `repo_id`. If that's the case, its content will be uploaded.\nOtherwise, an exception is raised asking the user to explicitly set `local_path`. In any case, if `path_in_repo` is not\nset, files are uploaded at the root of the repo.\n\nFor more details about the CLI upload command, please refer to the [CLI guide](./cli#hf-upload).\n\n## Upload a large folder\n\nIn most cases, the [`upload_folder`] method and `hf upload` command should be the go-to solutions to upload files to the Hub. They ensure a single commit will be made, handle a lot of use cases, and fail explicitly when something wrong happens. However, when dealing with a large amount of data, you will usually prefer a resilient process even if it leads to more commits or requires more CPU usage. The [`upload_large_folder`] method has been implemented in that spirit:\n- it is resumable: the upload process is split into many small tasks (hashing files, pre-uploading them, and committing them). Each time a task is completed, the result is cached locally in a `./cache/huggingface` folder inside the folder you are trying to upload. By doing so, restarting the process after an interruption will resume all completed tasks.\n- it is multi-threaded: hashing large files and pre-uploading them benefits a lot from multithreading if your machine allows it.\n- it is resilient to errors: a high-level retry-mechanism has been added to retry each independent task indefinitely until it passes (no matter if it's a OSError, ConnectionError, PermissionError, etc.). This mechanism is double-edged. If transient errors happen, the process will continue and retry. If permanent errors happen (e.g. permission denied), it will retry indefinitely without solving the root cause.\n\nIf you want more technical details about how `upload_large_folder` is implemented under the hood, please have a look to the [`upload_large_folder`] package reference.\n\nHere is how to use [`upload_large_folder`] in a script. The method signature is very similar to [`upload_folder`]:\n\n```py\n>>> api.upload_large_folder(\n...     repo_id=\"HuggingFaceM4/Docmatix\",\n...     repo_type=\"dataset\",\n...     folder_path=\"/path/to/local/docmatix\",\n... )\n```\n\nYou will see the following output in your terminal:\n```\nRepo created: https://huggingface.co/datasets/HuggingFaceM4/Docmatix\nFound 5 candidate files to upload\nRecovering from metadata files: 100%|█████████████████████████████████████| 5/5 [00:00<00:00, 542.66it/s]\n\n---------- 2024-07-22 17:23:17 (0:00:00) ----------\nFiles:   hashed 5/5 (5.0G/5.0G) | pre-uploaded: 0/5 (0.0/5.0G) | committed: 0/5 (0.0/5.0G) | ignored: 0\nWorkers: hashing: 0 | get upload mode: 0 | pre-uploading: 5 | committing: 0 | waiting: 11\n---------------------------------------------------\n```\n\nFirst, the repo is created if it didn't exist before. Then, the local folder is scanned for files to upload. For each file, we try to recover metadata information (from a previously interrupted upload). From there, it is able to launch workers and print an update status every 1 minute. Here, we can see that 5 files have already been hashed but not pre-uploaded. 5 workers are pre-uploading files while the 11 others are waiting for a task.\n\nA command line is also provided. You can define the number of workers and the level of verbosity in the terminal:\n\n```sh\nhf upload-large-folder HuggingFaceM4/Docmatix --repo-type=dataset /path/to/local/docmatix --num-workers=16\n```\n\n> [!TIP]\n> For large uploads, you have to set `repo_type=\"model\"` or `--repo-type=model` explicitly. Usually, this information is implicit in all other `HfApi` methods. This is to avoid having data uploaded to a repository with a wrong type. If that's the case, you'll have to re-upload everything.\n\n> [!WARNING]\n> While being much more robust to upload large folders, `upload_large_folder` is more limited than [`upload_folder`] feature-wise. In practice:\n> - you cannot set a custom `path_in_repo`. If you want to upload to a subfolder, you need to set the proper structure locally.\n> - you cannot set a custom `commit_message` and `commit_description` since multiple commits are created.\n> - you cannot delete from the repo while uploading. Please make a separate commit first.\n> - you cannot create a PR directly. Please create a PR first (from the UI or using [`create_pull_request`]) and then commit to it by passing `revision`.\n\n### Tips and tricks for large uploads\n\nThere are some limitations to be aware of when dealing with a large amount of data in your repo. Given the time it takes to stream the data, getting an upload/push to fail at the end of the process or encountering a degraded experience, be it on hf.co or when working locally, can be very annoying.\n\nCheck out our [Repository limitations and recommendations](https://huggingface.co/docs/hub/repositories-recommendations) guide for best practices on how to structure your repositories on the Hub. Let's move on with some practical tips to make your upload process as smooth as possible.\n\n- **Start small**: We recommend starting with a small amount of data to test your upload script. It's easier to iterate on a script when failing takes only a little time.\n- **Expect failures**: Streaming large amounts of data is challenging. You don't know what can happen, but it's always best to consider that something will fail at least once -no matter if it's due to your machine, your connection, or our servers. For example, if you plan to upload a large number of files, it's best to keep track locally of which files you already uploaded before uploading the next batch. You are ensured that an LFS file that is already committed will never be re-uploaded twice but checking it client-side can still save some time. This is what [`upload_large_folder`] does for you.\n- **Use `hf_xet`**: this leverages the new storage backend for the Hub, is written in Rust, and is now available for everyone to use. In fact, `hf_xet` is already enabled by default when using `huggingface_hub`! For maximum performance, set [`HF_XET_HIGH_PERFORMANCE=1`](../package_reference/environment_variables.md#hf_xet_high_performance) as an environment variable. Be aware that when high performance mode is enabled, the tool will try to use all available bandwidth and CPU cores.\n\n## Advanced features\n\nIn most cases, you won't need more than [`upload_file`] and [`upload_folder`] to upload your files to the Hub.\nHowever, `huggingface_hub` has more advanced features to make things easier. Let's have a look at them!\n\n### Faster Uploads\n\nTake advantage of faster uploads through `hf_xet`, the Python binding to the [`xet-core`](https://github.com/huggingface/xet-core) library that enables chunk-based deduplication for faster uploads and downloads. `hf_xet` integrates seamlessly with `huggingface_hub`, but uses the Rust `xet-core` library and Xet storage instead of LFS. \n\n`hf_xet` uses the Xet storage system, which breaks files down into immutable chunks, storing collections of these chunks (called blocks or xorbs) remotely and retrieving them to reassemble the file when requested. When uploading, after confirming the user is authorized to write to this repo, `hf_xet` will scan the files, breaking them down into their chunks and collecting those chunks into xorbs (and deduplicating across known chunks), and then will be upload these xorbs to the Xet content-addressable service (CAS), which will verify the integrity of the xorbs, register the xorb metadata along with the LFS SHA256 hash (to support lookup/download), and write the xorbs to remote storage.\n\nTo enable it, simply install the latest version of `huggingface_hub`:\n\n```bash\npip install -U \"huggingface_hub\"\n```\n\nAs of `huggingface_hub` 0.32.0, this will also install `hf_xet`. \n\nAll other `huggingface_hub` APIs will continue to work without any modification. To learn more about the benefits of Xet storage and `hf_xet`, refer to this [section](https://huggingface.co/docs/hub/xet/index).\n\n**Cluster / Distributed Filesystem Upload Considerations**\n\nWhen uploading from a cluster, the files being uploaded often reside on a distributed or networked filesystem (NFS, EBS, Lustre, Fsx, etc). Xet storage will chunk those files and write them into blocks (also called xorbs) locally, and once the block is completed will upload them. For better performance when uploading from a distributed filesystem, make sure to set [`HF_XET_CACHE`](../package_reference/environment_variables#hfxetcache) to a directory that is on a local disk (ex. a local NVMe or SSD disk). The default location for the Xet cache is under `HF_HOME` at (`~/.cache/huggingface/xet`) and this being in the user's home directory is often also located on the distributed filesystem.\n\n### Non-blocking uploads\n\nIn some cases, you want to push data without blocking your main thread. This is particularly useful to upload logs and\nartifacts while continuing a training. To do so, you can use the `run_as_future` argument in both [`upload_file`] and\n[`upload_folder`]. This will return a [`concurrent.futures.Future`](https://docs.python.org/3/library/concurrent.futures.html#future-objects)\nobject that you can use to check the status of the upload.\n\n```py\n>>> from huggingface_hub import HfApi\n>>> api = HfApi()\n>>> future = api.upload_folder( # Upload in the background (non-blocking action)\n...     repo_id=\"username/my-model\",\n...     folder_path=\"checkpoints-001\",\n...     run_as_future=True,\n... )\n>>> future\nFuture(...)\n>>> future.done()\nFalse\n>>> future.result() # Wait for the upload to complete (blocking action)\n...\n```\n\n> [!TIP]\n> Background jobs are queued when using `run_as_future=True`. This means that you are guaranteed that the jobs will be\n> executed in the correct order.\n\nEven though background jobs are mostly useful to upload data/create commits, you can queue any method you like using\n[`run_as_future`]. For instance, you can use it to create a repo and then upload data to it in the background. The\nbuilt-in `run_as_future` argument in upload methods is just an alias around it.\n\n```py\n>>> from huggingface_hub import HfApi\n>>> api = HfApi()\n>>> api.run_as_future(api.create_repo, \"username/my-model\", exists_ok=True)\nFuture(...)\n>>> api.upload_file(\n...     repo_id=\"username/my-model\",\n...     path_in_repo=\"file.txt\",\n...     path_or_fileobj=b\"file content\",\n...     run_as_future=True,\n... )\nFuture(...)\n```\n\n### Upload a folder by chunks\n\n[`upload_folder`] makes it easy to upload an entire folder to the Hub. However, for large folders (thousands of files or\nhundreds of GB), we recommend using [`upload_large_folder`], which splits the upload into multiple commits. See the [Upload a large folder](#upload-a-large-folder) section for more details.\n\n\n### Scheduled uploads\n\nThe Hugging Face Hub makes it easy to save and version data. However, there are some limitations when updating the same file thousands of times. For instance, you might want to save logs of a training process or user\nfeedback on a deployed Space. In these cases, uploading the data as a dataset on the Hub makes sense, but it can be hard to do properly. The main reason is that you don't want to version every update of your data because it'll make the git repository unusable. The [`CommitScheduler`] class offers a solution to this problem.\n\nThe idea is to run a background job that regularly pushes a local folder to the Hub. Let's assume you have a\nGradio Space that takes as input some text and generates two translations of it. Then, the user can select their preferred translation. For each run, you want to save the input, output, and user preference to analyze the results. This is a\nperfect use case for [`CommitScheduler`]; you want to save data to the Hub (potentially millions of user feedback), but\nyou don't _need_ to save in real-time each user's input. Instead, you can save the data locally in a JSON file and\nupload it every 10 minutes. For example:\n\n```py\n>>> import json\n>>> import uuid\n>>> from pathlib import Path\n>>> import gradio as gr\n>>> from huggingface_hub import CommitScheduler\n\n# Define the file where to save the data. Use UUID to make sure not to overwrite existing data from a previous run.\n>>> feedback_file = Path(\"user_feedback/\") / f\"data_{uuid.uuid4()}.json\"\n>>> feedback_folder = feedback_file.parent\n\n# Schedule regular uploads. Remote repo and local folder are created if they don't already exist.\n>>> scheduler = CommitScheduler(\n...     repo_id=\"report-translation-feedback\",\n...     repo_type=\"dataset\",\n...     folder_path=feedback_folder,\n...     path_in_repo=\"data\",\n...     every=10,\n... )\n\n# Define the function that will be called when the user submits its feedback (to be called in Gradio)\n>>> def save_feedback(input_text:str, output_1: str, output_2:str, user_choice: int) -> None:\n...     \"\"\"\n...     Append input/outputs and user feedback to a JSON Lines file using a thread lock to avoid concurrent writes from different users.\n...     \"\"\"\n...     with scheduler.lock:\n...         with feedback_file.open(\"a\") as f:\n...             f.write(json.dumps({\"input\": input_text, \"output_1\": output_1, \"output_2\": output_2, \"user_choice\": user_choice}))\n...             f.write(\"\\n\")\n\n# Start Gradio\n>>> with gr.Blocks() as demo:\n>>>     ... # define Gradio demo + use `save_feedback`\n>>> demo.launch()\n```\n\nAnd that's it! User input/outputs and feedback will be available as a dataset on the Hub. By using a unique JSON file name, you are guaranteed you won't overwrite data from a previous run or data from another\nSpaces/replicas pushing concurrently to the same repository.\n\nFor more details about the [`CommitScheduler`], here is what you need to know:\n- **append-only:**\n    It is assumed that you will only add content to the folder. You must only append data to existing files or create\n    new files. Deleting or overwriting a file might corrupt your repository.\n- **git history**:\n    The scheduler will commit the folder every `every` minutes. To avoid polluting the git repository too much, it is\n    recommended to set a minimal value of 5 minutes. Besides, the scheduler is designed to avoid empty commits. If no\n    new content is detected in the folder, the scheduled commit is dropped.\n- **errors:**\n    The scheduler run as background thread. It is started when you instantiate the class and never stops. In particular,\n    if an error occurs during the upload (example: connection issue), the scheduler will silently ignore it and retry\n    at the next scheduled commit.\n- **thread-safety:**\n    In most cases it is safe to assume that you can write to a file without having to worry about a lock file. The\n    scheduler will not crash or be corrupted if you write content to the folder while it's uploading. In practice,\n    _it is possible_ that concurrency issues happen for heavy-loaded apps. In this case, we advice to use the\n    `scheduler.lock` lock to ensure thread-safety. The lock is blocked only when the scheduler scans the folder for\n    changes, not when it uploads data. You can safely assume that it will not affect the user experience on your Space.\n\n#### Space persistence demo\n\nPersisting data from a Space to a Dataset on the Hub is the main use case for [`CommitScheduler`]. Depending on the use\ncase, you might want to structure your data differently. The structure has to be robust to concurrent users and\nrestarts which often implies generating UUIDs. Besides robustness, you should upload data in a format readable by the 🤗 Datasets library for later reuse. We created a [Space](https://huggingface.co/spaces/Wauplin/space_to_dataset_saver)\nthat demonstrates how to save several different data formats (you may need to adapt it for your own specific needs).\n\n#### Custom uploads\n\n[`CommitScheduler`] assumes your data is append-only and should be uploading \"as is\". However, you\nmight want to customize the way data is uploaded. You can do that by creating a class inheriting from [`CommitScheduler`]\nand overwrite the `push_to_hub` method (feel free to overwrite it any way you want). You are guaranteed it will\nbe called every `every` minutes in a background thread. You don't have to worry about concurrency and errors but you\nmust be careful about other aspects, such as pushing empty commits or duplicated data.\n\nIn the (simplified) example below, we overwrite `push_to_hub` to zip all PNG files in a single archive to avoid\noverloading the repo on the Hub:\n\n```py\nclass ZipScheduler(CommitScheduler):\n    def push_to_hub(self):\n        # 1. List PNG files\n          png_files = list(self.folder_path.glob(\"*.png\"))\n          if len(png_files) == 0:\n              return None  # return early if nothing to commit\n\n        # 2. Zip png files in a single archive\n        with tempfile.TemporaryDirectory() as tmpdir:\n            archive_path = Path(tmpdir) / \"train.zip\"\n            with zipfile.ZipFile(archive_path, \"w\", zipfile.ZIP_DEFLATED) as zip:\n                for png_file in png_files:\n                    zip.write(filename=png_file, arcname=png_file.name)\n\n            # 3. Upload archive\n            self.api.upload_file(..., path_or_fileobj=archive_path)\n\n        # 4. Delete local png files to avoid re-uploading them later\n        for png_file in png_files:\n            png_file.unlink()\n```\n\nWhen you overwrite `push_to_hub`, you have access to the attributes of [`CommitScheduler`] and especially:\n- [`HfApi`] client: `api`\n- Folder parameters: `folder_path` and `path_in_repo`\n- Repo parameters: `repo_id`, `repo_type`, `revision`\n- The thread lock: `lock`\n\n> [!TIP]\n> For more examples of custom schedulers, check out our [demo Space](https://huggingface.co/spaces/Wauplin/space_to_dataset_saver)\n> containing different implementations depending on your use cases.\n\n### create_commit\n\nThe [`upload_file`] and [`upload_folder`] functions are high-level APIs that are generally convenient to use. We recommend\ntrying these functions first if you don't need to work at a lower level. However, if you want to work at a commit-level,\nyou can use the [`create_commit`] function directly.\n\nThere are three types of operations supported by [`create_commit`]:\n\n- [`CommitOperationAdd`] uploads a file to the Hub. If the file already exists, the file contents are overwritten. This operation accepts two arguments:\n\n  - `path_in_repo`: the repository path to upload a file to.\n  - `path_or_fileobj`: either a path to a file on your filesystem or a file-like object. This is the content of the file to upload to the Hub.\n\n- [`CommitOperationDelete`] removes a file or a folder from a repository. This operation accepts `path_in_repo` as an argument.\n\n- [`CommitOperationCopy`] copies a file within a repository. This operation accepts three arguments:\n\n  - `src_path_in_repo`: the repository path of the file to copy.\n  - `path_in_repo`: the repository path where the file should be copied.\n  - `src_revision`: optional - the revision of the file to copy if your want to copy a file from a different branch/revision.\n\nFor example, if you want to upload two files and delete a file in a Hub repository:\n\n1. Use the appropriate `CommitOperation` to add or delete a file and to delete a folder:\n\n```py\n>>> from huggingface_hub import HfApi, CommitOperationAdd, CommitOperationDelete\n>>> api = HfApi()\n>>> operations = [\n...     CommitOperationAdd(path_in_repo=\"LICENSE.md\", path_or_fileobj=\"~/repo/LICENSE.md\"),\n...     CommitOperationAdd(path_in_repo=\"weights.h5\", path_or_fileobj=\"~/repo/weights-final.h5\"),\n...     CommitOperationDelete(path_in_repo=\"old-weights.h5\"),\n...     CommitOperationDelete(path_in_repo=\"logs/\"),\n...     CommitOperationCopy(src_path_in_repo=\"image.png\", path_in_repo=\"duplicate_image.png\"),\n... ]\n```\n\n2. Pass your operations to [`create_commit`]:\n\n```py\n>>> api.create_commit(\n...     repo_id=\"lysandre/test-model\",\n...     operations=operations,\n...     commit_message=\"Upload my model weights and license\",\n... )\n```\n\nIn addition to [`upload_file`] and [`upload_folder`], the following functions also use [`create_commit`] under the hood:\n\n- [`delete_file`] deletes a single file from a repository on the Hub.\n- [`delete_folder`] deletes an entire folder from a repository on the Hub.\n- [`metadata_update`] updates a repository's metadata.\n\nFor more detailed information, take a look at the [`HfApi`] reference.\n\n### Preupload LFS files before commit\n\nIn some cases, you might want to upload huge files to S3 **before** making the commit call. For example, if you are\ncommitting a dataset in several shards that are generated in-memory, you would need to upload the shards one by one\nto avoid an out-of-memory issue. A solution is to upload each shard as a separate commit on the repo. While being\nperfectly valid, this solution has the drawback of potentially messing the git history by generating tens of commits.\nTo overcome this issue, you can upload your files one by one to S3 and then create a single commit at the end. This\nis possible using [`preupload_lfs_files`] in combination with [`create_commit`].\n\n> [!WARNING]\n> This is a power-user method. Directly using [`upload_file`], [`upload_folder`] or [`create_commit`] instead of handling\n> the low-level logic of pre-uploading files is the way to go in the vast majority of cases. The main caveat of\n> [`preupload_lfs_files`] is that until the commit is actually made, the upload files are not accessible on the repo on\n> the Hub. If you have a question, feel free to ping us on our Discord or in a GitHub issue.\n\nHere is a simple example illustrating how to pre-upload files:\n\n```py\n>>> from huggingface_hub import CommitOperationAdd, preupload_lfs_files, create_commit, create_repo\n\n>>> repo_id = create_repo(\"test_preupload\").repo_id\n\n>>> operations = [] # List of all `CommitOperationAdd` objects that will be generated\n>>> for i in range(5):\n...     content = ... # generate binary content\n...     addition = CommitOperationAdd(path_in_repo=f\"shard_{i}_of_5.bin\", path_or_fileobj=content)\n...     preupload_lfs_files(repo_id, additions=[addition])\n...     operations.append(addition)\n\n>>> # Create commit\n>>> create_commit(repo_id, operations=operations, commit_message=\"Commit all shards\")\n```\n\nFirst, we create the [`CommitOperationAdd`] objects one by one. In a real-world example, those would contain the\ngenerated shards. Each file is uploaded before generating the next one. During the [`preupload_lfs_files`] step, **the\n`CommitOperationAdd` object is mutated**. You should only use it to pass it directly to [`create_commit`]. The main\nupdate of the object is that **the binary content is removed** from it, meaning that it will be garbage-collected if\nyou don't store another reference to it. This is expected as we don't want to keep in memory the content that is\nalready uploaded. Finally we create the commit by passing all the operations to [`create_commit`]. You can pass\nadditional operations (add, delete or copy) that have not been processed yet and they will be handled correctly.\n"}],"isError":false,"timestamp":1774712799454}}
{"type":"message","id":"106e9bfd","parentId":"79c0dd6f","timestamp":"2026-03-28T15:46:39.465Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"<!--⚠️ Note that this file is in Markdown but contains specific syntax for our doc-builder (similar to MDX) that may not be\nrendered properly in your Markdown viewer.\n-->\n\n# Create and manage a repository\n\nThe Hugging Face Hub is a collection of git repositories. [Git](https://git-scm.com/) is a widely used tool in software\ndevelopment to easily version projects when working collaboratively. This guide will show you how to interact with the\nrepositories on the Hub, especially:\n\n- Create and delete a repository.\n- Manage branches and tags.\n- Rename your repository.\n- Update your repository visibility.\n- Manage a local copy of your repository.\n\n> [!WARNING]\n> If you are used to working with platforms such as GitLab/GitHub/Bitbucket, your first instinct\n> might be to use `git` CLI to clone your repo (`git clone`), commit changes (`git add, git commit`) and push them\n> (`git push`). This is valid when using the Hugging Face Hub. However, software engineering and machine learning do\n> not share the same requirements and workflows. Model repositories might maintain large model weight files for different\n> frameworks and tools, so cloning the repository can lead to you maintaining large local folders with massive sizes. As\n> a result, it may be more efficient to use our custom HTTP methods. You can read our [Git vs HTTP paradigm](../concepts/git_vs_http)\n> explanation page for more details.\n\nIf you want to create and manage a repository on the Hub, your machine must be logged in. If you are not, please refer to\n[this section](../quick-start#authentication). In the rest of this guide, we will assume that your machine is logged in.\n\n## Repo creation and deletion\n\nThe first step is to know how to create and delete repositories. You can only manage repositories that you own (under\nyour username namespace) or from organizations in which you have write permissions.\n\n### Create a repository\n\nCreate an empty repository with [`create_repo`] and give it a name with the `repo_id` parameter. The `repo_id` is your namespace followed by the repository name: `username_or_org/repo_name`.\n\n```py\n>>> from huggingface_hub import create_repo\n>>> create_repo(\"lysandre/test-model\")\n'https://huggingface.co/lysandre/test-model'\n```\n\nOr via CLI:\n\n```bash\n>>> hf repos create lysandre/test-model\nSuccessfully created lysandre/test-model on the Hub.\nYour repo is now available at https://huggingface.co/lysandre/test-model\n```\n\nBy default, [`create_repo`] creates a model repository. But you can use the `repo_type` parameter to specify another repository type. For example, if you want to create a dataset repository:\n\n```py\n>>> from huggingface_hub import create_repo\n>>> create_repo(\"lysandre/test-dataset\", repo_type=\"dataset\")\n'https://huggingface.co/datasets/lysandre/test-dataset'\n```\n\nOr via CLI:\n\n```bash\n>>> hf repos create lysandre/test-dataset --repo-type dataset\n```\n\nWhen you create a repository, you can set your repository visibility with the `private` parameter.\n\n```py\n>>> from huggingface_hub import create_repo\n>>> create_repo(\"lysandre/test-private\", private=True)\n```\n\nOr via CLI:\n\n```bash\n>>> hf repos create lysandre/test-private --private\n```\n\nIf you want to change the repository visibility at a later time, you can use the [`update_repo_settings`] function.\n\n> [!TIP]\n> If you are part of an organization with an Enterprise plan, you can create a repo in a specific resource group by passing `resource_group_id` as parameter to [`create_repo`]. Resource groups are a security feature to control which members from your org can access a given resource. You can get the resource group ID by copying it from your org settings page url on the Hub (e.g. `\"https://huggingface.co/organizations/huggingface/settings/resource-groups/66670e5163145ca562cb1988\"` => `\"66670e5163145ca562cb1988\"`). For more details about resource group, check out this [guide](https://huggingface.co/docs/hub/en/security-resource-groups).\n\n### Delete a repository\n\nDelete a repository with [`delete_repo`]. Make sure you want to delete a repository because this is an irreversible process!\n\nSpecify the `repo_id` of the repository you want to delete:\n\n```py\n>>> delete_repo(repo_id=\"lysandre/my-corrupted-dataset\", repo_type=\"dataset\")\n```\n\nOr via CLI:\n\n```bash\n>>> hf repos delete lysandre/my-corrupted-dataset --repo-type dataset\n```\n\n### Duplicate a repository\n\nIn some cases, you want to copy someone else's repo to adapt it to your use case.\nThis is possible using the [`duplicate_repo`] method. It will duplicate the whole repository, preserving the full git history.\nThis works for models, datasets, and Spaces. For Spaces, you will still need to configure your own settings (hardware, sleep-time, storage, variables and secrets). Check out our [Manage your Space](./manage-spaces) guide for more details.\n\n```py\n>>> from huggingface_hub import duplicate_repo\n\n# Duplicate a Space\n>>> duplicate_repo(\"multimodalart/dreambooth-training\", repo_type=\"space\", private=False)\nRepoUrl('https://huggingface.co/spaces/nateraw/dreambooth-training',...)\n\n# Duplicate a dataset\n>>> duplicate_repo(\"openai/gdpval\", repo_type=\"dataset\")\nRepoUrl('https://huggingface.co/datasets/nateraw/gdpval',...)\n```\n\n## Upload and download files\n\nNow that you have created your repository, you are interested in pushing changes to it and downloading files from it.\n\nThese 2 topics deserve their own guides. Please refer to the [upload](./upload) and the [download](./download) guides\nto learn how to use your repository.\n\n\n## Branches and tags\n\nGit repositories often make use of branches to store different versions of a same repository.\nTags can also be used to flag a specific state of your repository, for example, when releasing a version.\nMore generally, branches and tags are referred as [git references](https://git-scm.com/book/en/v2/Git-Internals-Git-References).\n\n### Create branches and tags\n\nYou can create new branch and tags using [`create_branch`] and [`create_tag`]:\n\n```py\n>>> from huggingface_hub import create_branch, create_tag\n\n# Create a branch on a Space repo from `main` branch\n>>> create_branch(\"Matthijs/speecht5-tts-demo\", repo_type=\"space\", branch=\"handle-dog-speaker\")\n\n[93 more lines in file. Use offset=141 to continue.]"}],"isError":false,"timestamp":1774712799463}}
{"type":"message","id":"2b466314","parentId":"106e9bfd","timestamp":"2026-03-28T15:46:39.467Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import { HUB_URL } from \"../consts\";\nimport { createApiError } from \"../error\";\nimport type { ApiCreateRepoPayload } from \"../types/api/api-create-repo\";\nimport type { CredentialsParams, RepoDesignation, SpaceSdk } from \"../types/public\";\nimport { base64FromBytes } from \"../utils/base64FromBytes\";\nimport { checkCredentials } from \"../utils/checkCredentials\";\nimport { toRepoId } from \"../utils/toRepoId\";\n\nexport async function createRepo(\n\tparams: {\n\t\trepo: RepoDesignation;\n\t\t/**\n\t\t * If unset, will follow the organization's default setting. (typically public, except for some Enterprise organizations)\n\t\t */\n\t\tvisibility?: \"public\" | \"private\" | \"protected\";\n\t\t/**\n\t\t * @deprecated Use {@link visibility} instead.\n\t\t */\n\t\tprivate?: boolean;\n\t\tresourceGroupId?: string;\n\t\t/**\n\t\t * Does not work for buckets\n\t\t */\n\t\tlicense?: string;\n\t\t/**\n\t\t * Only a few lightweight files are supported at repo creation - and not for buckets\n\t\t */\n\t\tfiles?: Array<{ content: ArrayBuffer | Blob; path: string }>;\n\t\t/** @required for when {@link repo.type} === \"space\" */\n\t\tsdk?: SpaceSdk;\n\t\thubUrl?: string;\n\t\t/**\n\t\t * Custom fetch function to use instead of the default one, for example to use a proxy or edit headers.\n\t\t */\n\t\tfetch?: typeof fetch;\n\t} & CredentialsParams,\n): Promise<{ repoUrl: string; id: string }> {\n\tconst accessToken = [REDACTED_SECRET];\n\tconst repoId = toRepoId(params.repo);\n\tconst [namespace, repoName] = repoId.name.split(\"/\");\n\tconst visibility =\n\t\tparams.visibility ?? (params.private !== undefined ? (params.private ? \"private\" : \"public\") : undefined);\n\n\tif (!namespace || !repoName) {\n\t\tthrow new TypeError(\n\t\t\t`\"${repoId.name}\" is not a fully qualified repo name. It should be of the form \"{namespace}/{repoName}\".`,\n\t\t);\n\t}\n\n\tconst res =\n\t\trepoId.type === \"bucket\"\n\t\t\t? await (params.fetch ?? fetch)(`${params.hubUrl ?? HUB_URL}/api/buckets/${namespace}/${repoName}`, {\n\t\t\t\t\tmethod: \"POST\",\n\t\t\t\t\tbody: JSON.stringify({\n\t\t\t\t\t\tvisibility,\n\t\t\t\t\t\tresourceGroupId: params.resourceGroupId,\n\t\t\t\t\t}),\n\t\t\t\t\theaders: {\n\t\t\t\t\t\tAuthorization: `[REDACTED_SECRET]`,\n\t\t\t\t\t\t\"Content-Type\": \"application/json\",\n\t\t\t\t\t},\n\t\t\t\t})\n\t\t\t: await (params.fetch ?? fetch)(`${params.hubUrl ?? HUB_URL}/api/repos/create`, {\n\t\t\t\t\tmethod: \"POST\",\n\t\t\t\t\tbody: JSON.stringify({\n\t\t\t\t\t\tname: repoName,\n\t\t\t\t\t\tvisibility,\n\t\t\t\t\t\torganization: namespace,\n\t\t\t\t\t\tresourceGroupId: params.resourceGroupId,\n\t\t\t\t\t\tlicense: params.license,\n\t\t\t\t\t\t...(repoId.type === \"space\"\n\t\t\t\t\t\t\t? {\n\t\t\t\t\t\t\t\t\ttype: \"space\",\n\t\t\t\t\t\t\t\t\tsdk: params.sdk ?? \"static\",\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t: {\n\t\t\t\t\t\t\t\t\ttype: repoId.type,\n\t\t\t\t\t\t\t\t}),\n\t\t\t\t\t\tfiles: params.files\n\t\t\t\t\t\t\t? await Promise.all(\n\t\t\t\t\t\t\t\t\tparams.files.map(async (file) => ({\n\t\t\t\t\t\t\t\t\t\tencoding: \"base64\",\n\t\t\t\t\t\t\t\t\t\tpath: file.path,\n\t\t\t\t\t\t\t\t\t\tcontent: base64FromBytes(\n\t\t\t\t\t\t\t\t\t\t\tnew Uint8Array(file.content instanceof Blob ? await file.content.arrayBuffer() : file.content),\n\t\t\t\t\t\t\t\t\t\t),\n\t\t\t\t\t\t\t\t\t})),\n\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t: undefined,\n\t\t\t\t\t} satisfies [REDACTED_OPAQUE]),\n\t\t\t\t\theaders: {\n\t\t\t\t\t\tAuthorization: `[REDACTED_SECRET]`,\n\t\t\t\t\t\t\"Content-Type\": \"application/json\",\n\t\t\t\t\t},\n\t\t\t\t});\n\n\tif (!res.ok) {\n\t\tthrow await createApiError(res);\n\t}\n\tconst output = await res.json();\n\treturn { repoUrl: output.url, id: output.id };\n}\n"}],"isError":false,"timestamp":1774712799465}}
{"type":"message","id":"49e5dffc","parentId":"2b466314","timestamp":"2026-03-28T15:46:39.470Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import type { CredentialsParams } from \"../types/public\";\nimport type { CommitOutput, CommitParams, ContentSource } from \"./commit\";\nimport { commit } from \"./commit\";\n\nexport function uploadFile(\n\tparams: {\n\t\trepo: CommitParams[\"repo\"];\n\t\tfile: URL | File | { path: string; content: ContentSource };\n\t\tcommitTitle?: CommitParams[\"title\"];\n\t\tcommitDescription?: CommitParams[\"description\"];\n\t\thubUrl?: CommitParams[\"hubUrl\"];\n\t\tbranch?: CommitParams[\"branch\"];\n\t\tisPullRequest?: CommitParams[\"isPullRequest\"];\n\t\tparentCommit?: CommitParams[\"parentCommit\"];\n\t\tfetch?: CommitParams[\"fetch\"];\n\t\tuseWebWorkers?: CommitParams[\"useWebWorkers\"];\n\t\tabortSignal?: CommitParams[\"abortSignal\"];\n\t\tuseXet?: CommitParams[\"useXet\"];\n\t} & Partial<CredentialsParams>,\n): Promise<CommitOutput | undefined> {\n\tconst path =\n\t\tparams.file instanceof URL\n\t\t\t? (params.file.pathname.split(\"/\").at(-1) ?? \"file\")\n\t\t\t: \"path\" in params.file\n\t\t\t\t? params.file.path\n\t\t\t\t: params.file.name;\n\n\treturn commit({\n\t\t...(params.accessToken ? { accessToken: [REDACTED_SECRET] } : { credentials: params.credentials }),\n\t\trepo: params.repo,\n\t\toperations: [\n\t\t\t{\n\t\t\t\toperation: \"addOrUpdate\",\n\t\t\t\tpath,\n\t\t\t\tcontent: \"content\" in params.file ? params.file.content : params.file,\n\t\t\t},\n\t\t],\n\t\ttitle: params.commitTitle ?? `Add ${path}`,\n\t\tdescription: params.commitDescription,\n\t\thubUrl: params.hubUrl,\n\t\tbranch: params.branch,\n\t\tisPullRequest: params.isPullRequest,\n\t\tparentCommit: params.parentCommit,\n\t\tfetch: params.fetch,\n\t\tuseWebWorkers: params.useWebWorkers,\n\t\tabortSignal: params.abortSignal,\n\t\tuseXet: params.useXet,\n\t});\n}\n"}],"isError":false,"timestamp":1774712799465}}
{"type":"message","id":"11e57b9a","parentId":"49e5dffc","timestamp":"2026-03-28T15:46:44.520Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Checking upload endpoints**\n\nI’m considering inspecting the exact upload endpoints and making a list of datasets. I think I need to know which datasets are supported in the JS package. It might be helpful to search the README or source files for functions like listDatasets or whoAmI. I could also use a tool called rg for searching. It feels like there’s a clear path to get this information if I dig around a bit!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Checking upload endpoints**\\n\\nI’m considering inspecting the exact upload endpoints and making a list of datasets. I think I need to know which datasets are supported in the JS package. It might be helpful to search the README or source files for functions like listDatasets or whoAmI. I could also use a tool called rg for searching. It feels like there’s a clear path to get this information if I dig around a bit!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"rg -n \"listDatasets|datasetInfo|whoAmI|checkRepoAccess\" /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub -S","timeout":20},"partialJson":"{\"command\":\"rg -n \\\"listDatasets|datasetInfo|whoAmI|checkRepoAccess\\\" /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub -S\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":9186,"output":108,"cacheRead":33664,"cacheWrite":0,"totalTokens":42958,"cost":{"input":0.022965000000000003,"output":0.0016200000000000001,"cacheRead":0.008416,"cacheWrite":0,"total":0.033001}},"stopReason":"toolUse","timestamp":1774712799467,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"4e3ea8ce","parentId":"11e57b9a","timestamp":"2026-03-28T15:46:44.541Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:38:const {name: username} = await hub.whoAmI({accessToken: \"[REDACTED_SECRET]\"});\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/README.md:45:await hub.checkRepoAccess({repo, accessToken: \"[REDACTED_SECRET]\"});\n"}],"isError":false,"timestamp":1774712804540}}
{"type":"message","id":"6de512e5","parentId":"4e3ea8ce","timestamp":"2026-03-28T15:46:51.319Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Evaluating README content**\n\nI’m considering whether or not to list datasets in the hub package README. It seems likely that listing models might be more appropriate instead. I’ll need to search through the repository to clarify what should be included. Focusing on listing models makes sense since that's likely what users will be most interested in when they check the README. Let’s go ahead and take a look at the repo!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating README content**\\n\\nI’m considering whether or not to list datasets in the hub package README. It seems likely that listing models might be more appropriate instead. I’ll need to search through the repository to clarify what should be included. Focusing on listing models makes sense since that's likely what users will be most interested in when they check the README. Let’s go ahead and take a look at the repo!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"rg -n \"function listDatasets|export .*listDatasets|dataset-search|listDataset\" /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages -S","timeout":20},"partialJson":"{\"command\":\"rg -n \\\"function listDatasets|export .*listDatasets|dataset-search|listDataset\\\" /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages -S\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":184,"output":88,"cacheRead":42880,"cacheWrite":0,"totalTokens":43152,"cost":{"input":0.00046,"output":0.00132,"cacheRead":0.01072,"cacheWrite":0,"total":0.0125}},"stopReason":"toolUse","timestamp":1774712804541,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"cfed5111","parentId":"6de512e5","timestamp":"2026-03-28T15:46:51.342Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"(no output)\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1774712811342}}
{"type":"message","id":"65c9b3a8","parentId":"cfed5111","timestamp":"2026-03-28T15:46:55.109Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Exploring dataset access**\n\nI'm wondering if the package I'm using doesn't expose the `listDatasets` function. Maybe I should consider querying the HF API directly. It could be useful to check if there's a datasets list endpoint available. So, I think I need to broaden my search to find the right information about accessing datasets. There’s a bit to uncover, but I’m on it!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Exploring dataset access**\\n\\nI'm wondering if the package I'm using doesn't expose the `listDatasets` function. Maybe I should consider querying the HF API directly. It could be useful to check if there's a datasets list endpoint available. So, I think I need to broaden my search to find the right information about accessing datasets. There’s a bit to uncover, but I’m on it!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"librarian","arguments":{"query":"In huggingface.js or Hub docs, find JS/TS ways to list datasets owned by the authenticated user or inspect accessible datasets. Need path-first evidence. If no helper exists, identify likely REST endpoint usage in source/docs.","owners":["huggingface"],"maxSearchResults":10},"partialJson":"{\"query\":\"In huggingface.js or Hub docs, find JS/TS ways to list datasets owned by the authenticated user or inspect accessible datasets. Need path-first evidence. If no helper exists, identify likely REST endpoint usage in source/docs.\", \"owners\":[\"huggingface\"], \"maxSearchResults\":10}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":164,"output":107,"cacheRead":43008,"cacheWrite":0,"totalTokens":43279,"cost":{"input":0.00041000000000000005,"output":0.001605,"cacheRead":0.010752,"cacheWrite":0,"total":0.012767}},"stopReason":"toolUse","timestamp":1774712811343,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"f795de11","parentId":"65c9b3a8","timestamp":"2026-03-28T15:49:23.608Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"librarian","content":[{"type":"text","text":"## Summary\nHi — enough signal here. In `huggingface.js`, the JS/TS path is: `whoAmI()` to get the authenticated username, then `listDatasets({ search: { owner: username }, accessToken })`; for per-dataset inspection, use `datasetInfo({ name, accessToken })`. Source also shows the underlying REST calls: `GET /api/whoami-v2`, `GET /api/datasets?author=...`, and `GET /api/datasets/{name}/revision/{rev}`.\n\n## Locations\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/list-datasets.ts:47-106` — public dataset-listing helper; accepts `search.owner`, maps it to `author=...`, calls `/api/datasets`, and attaches `Authorization` when `accessToken` is present. Blob: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/list-datasets.ts\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/who-am-i.ts:62-92` — authenticated identity helper; returns the current account info from `/api/whoami-v2`, including `name`. Blob: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/who-am-i.ts\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/dataset-info.ts:9-60` — per-dataset inspection helper; calls `/api/datasets/{name}/revision/{revision}` and sends auth when provided. Blob: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/dataset-info.ts\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/index.ts:18-36` — confirms `listDatasets`, `datasetInfo`, and `whoAmI` are exported from the package API. Blob: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/index.ts\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/hub-docs/docs/hub/api.md:1-12` — Hub docs entrypoint saying API endpoint docs moved to the OpenAPI Playground / spec. Blob: https://github.com/huggingface/hub-docs/blob/main/docs/hub/api.md\n\n## Evidence\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/list-datasets.ts:47-106` — proves the JS helper exists and shows the likely “my datasets” recipe:\n  ```ts\n  export async function* listDatasets(\n    params?: { search?: { query?: string; owner?: string; tags?: string[] }; ... } & Partial<CredentialsParams>,\n  ) {\n    ...\n    ...(params?.search?.owner ? { author: params.search.owner } : undefined),\n    ...\n    let url = `${params?.hubUrl || HUB_URL}/api/datasets` + (search ? \"?\" + search : \"\");\n    ...\n    ...(accessToken ? { Authorization: `[REDACTED_SECRET]` } : undefined),\n  }\n  ```\n  So, in TS/JS: get username, then call `listDatasets({ search: { owner: username }, accessToken })`.\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/who-am-i.ts:62-92` — proves how to get the authenticated user name:\n  ```ts\n  export async function whoAmI(...): Promise<WhoAmI & { auth: [REDACTED_SECRET] }> {\n    ...\n    const res = await ...(`${params.hubUrl ?? HUB_URL}/api/whoami-v2`, {\n      headers: { Authorization: `[REDACTED_SECRET]` },\n    });\n  }\n  ```\n  `WhoAmIUser` in the same file includes `name`, so this is the source for the current username.\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/dataset-info.ts:9-60` — proves the per-dataset inspection path:\n  ```ts\n  export async function datasetInfo(...) {\n    ...\n    `${params?.hubUrl || HUB_URL}/api/datasets/${params.name}/revision/${encodeURIComponent(\n      params.revision ?? \"HEAD\",\n    )}?${search.toString()}`\n    ...\n    ...(accessToken ? { Authorization: `[REDACTED_SECRET]` } : {}),\n  }\n  ```\n  Good for checking a specific private/gated/accessible dataset once you know its repo name.\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/index.ts:18-36` — proves these helpers are part of the exported package surface:\n  ```ts\n  export * from \"./dataset-info\";\n  ...\n  export * from \"./list-datasets\";\n  ...\n  export * from \"./who-am-i\";\n  ```\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/list-datasets.spec.ts:5-24` — extra confirmation that `search.owner` is the intended filter usage:\n  ```ts\n  for await (const entry of listDatasets({ search: { owner: \"hf-doc-build\" } })) {\n  ```\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/hub-docs/docs/hub/api.md:1-12` — docs-side pointer: the canonical Hub endpoint docs now live in OpenAPI, not hand-written pages.\n\n## Searched (only if incomplete / not found)\n- `gh search code 'listDatasets repo:huggingface/huggingface.js' --limit 10`\n- Repo tree probe for `huggingface/huggingface.js` to locate `who-am-i.ts`, `dataset-info.ts`, `types/public.ts`, `index.ts`\n- Repo tree probe for `huggingface/hub-docs` to locate API/docs entrypoints\n- Further GitHub code search hit rate limits, so docs evidence is limited to the fetched `docs/hub/api.md` entrypoint\n\n## Next steps (optional)\n- Fetch the live OpenAPI markdown/json from the Hub docs target and grep `GET /api/datasets` + auth semantics.\n- Inspect `check-repo-access` if you also need a “can this token see this dataset?” helper beyond `datasetInfo()`."}],"details":{"status":"done","workspace":"/tmp/pi-librarian/run-XWfQn1","runs":[{"status":"done","query":"In huggingface.js or Hub docs, find JS/TS ways to list datasets owned by the authenticated user or inspect accessible datasets. Need path-first evidence. If no helper exists, identify likely REST endpoint usage in source/docs.","turns":10,"toolCalls":[{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && echo 'Hi — fast scout.' >&2; gh search code 'listDatasets repo:huggingface/huggingface.js' --json path,repository,sha,url,textMatches --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.sha,.url] | @tsv'","timeout":20},"startedAt":1774712821319,"endedAt":1774712821926,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && gh search code 'listDatasets owner:huggingface' --json path,repository,sha,url,textMatches --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'","timeout":20},"startedAt":1774712829343,"endedAt":1774712829815,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && gh search code 'author owner filter datasets repo:huggingface/huggingface.js' --json path,repository,sha,url,textMatches --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'","timeout":20},"startedAt":1774712829344,"endedAt":1774712829816,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && gh search code 'list datasets authenticated user owner:huggingface' --json path,repository,sha,url,textMatches --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'","timeout":20},"startedAt":1774712829344,"endedAt":1774712829816,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && REPO='huggingface/huggingface.js'; REF=$(gh repo view \"$REPO\" --json defaultBranchRef --jq '.defaultBranchRef.name'); echo $REF; mkdir -p repos/$REPO/packages/hub/src/lib repos/$REPO/packages/hub/src/types; for FILE in packages/hub/src/lib/list-datasets.ts packages/hub/src/lib/who-am-i.ts packages/hub/src/lib/dataset-info.ts packages/hub/src/types/public-api.ts; do mkdir -p \"repos/$REPO/$(dirname \"$FILE\")\"; gh api \"repos/$REPO/contents/$FILE?ref=$REF\" --jq .content | tr -d '\\n' | base64 --decode > \"repos/$REPO/$FILE\"; done; nl -ba repos/$REPO/packages/hub/src/lib/list-datasets.ts | sed -n '1,220p'","timeout":40},"startedAt":1774712841732,"endedAt":1774712843578,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && gh search code 'datasets-server owner:huggingface' --json path,repository,sha,url,textMatches --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'","timeout":20},"startedAt":1774712841733,"endedAt":1774712843578,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && REPO='huggingface/huggingface.js'; REF=main; gh search code 'whoAmI repo:huggingface/huggingface.js' --json path,repository,sha,url,textMatches --limit 10 | jq -r '.[] | [.path,.url] | @tsv'","timeout":20},"startedAt":1774712851998,"endedAt":1774712852490,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && REPO='huggingface/huggingface.js'; REF=main; gh api \"repos/$REPO/git/trees/$REF?recursive=1\" > tree.json && jq -r '.tree[] | select(.type==\"blob\" and (.path|test(\"who-am-i|dataset-info|types/public|index\\\\.ts$\"))) | .path' tree.json | sed -n '1,40p'","timeout":40},"startedAt":1774712851999,"endedAt":1774712852745,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && find repos/huggingface/huggingface.js -type f | sed -n '1,20p'","timeout":20},"startedAt":1774712851999,"endedAt":1774712852745,"isError":false},{"id":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && REPO='huggingface/huggingface.js'; REF=main; for FILE in packages/hub/src/types/public.ts packages/hub/README.md packages/hub/src/lib/index.ts packages/hub/src/lib/list-datasets.spec.ts packages/hub/src/lib/who-am-i.ts packages/hub/src/lib/dataset-info.ts; do mkdir -p \"repos/$REPO/$(dirname \"$FILE\")\"; gh api \"repos/$REPO/contents/$FILE?ref=$REF\" --jq .content | tr -d '\\n' | base64 --decode > \"repos/$REPO/$FILE\"; done; echo '--- README hits'; rg -n \"listDatasets|whoAmI|datasetInfo|datasets\" repos/huggingface/huggingface.js/packages/hub/README.md | sed -n '1,40p'; echo '--- who-am-i'; nl -ba repos/huggingface/huggingface.js/packages/hub/src/lib/who-am-i.ts | sed -n '1,180p'; echo '--- dataset-info'; nl -ba repos/huggingface/huggingface.js/packages/hub/src/lib/dataset-info.ts | sed -n '1,220p'; echo '--- public'; nl -ba repos/huggingface/huggingface.js/packages/hub/src/types/public.ts | sed -n '1,160p';","timeout":40},"startedAt":1774712864077,"endedAt":1774712866288,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && gh search code 'api/datasets repo:huggingface/hub-docs' --json path,repository,sha,url,textMatches --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'","timeout":20},"startedAt":1774712864077,"endedAt":1774712866288,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && gh search code 'listDatasets repo:huggingface/hub-docs' --json path,repository,sha,url,textMatches --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'","timeout":20},"startedAt":1774712864077,"endedAt":1774712866288,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && gh search code '/api/datasets' owner:huggingface --json path,repository,sha,url,textMatches --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'","timeout":20},"startedAt":1774712878463,"endedAt":1774712878736,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && gh search code 'author= owner:huggingface' --json path,repository,sha,url,textMatches --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'","timeout":20},"startedAt":1774712878463,"endedAt":1774712878736,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && gh search code 'whoami-v2 owner:huggingface' --json path,repository,sha,url,textMatches --limit 10 | jq -r '.[] | [.repository.nameWithOwner,.path,.url] | @tsv'","timeout":20},"startedAt":1774712878464,"endedAt":1774712878790,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && REPO='huggingface/huggingface.js'; REF=main; echo '--- exports'; nl -ba repos/$REPO/packages/hub/src/lib/index.ts | sed -n '1,220p'; echo '--- list-datasets spec'; nl -ba repos/$REPO/packages/hub/src/lib/list-datasets.spec.ts | sed -n '1,220p'; echo '--- README context'; nl -ba repos/$REPO/packages/hub/README.md | sed -n '30,60p'","timeout":40},"startedAt":1774712886867,"endedAt":1774712886904,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && REPO='huggingface/hub-docs'; REF=$(gh repo view \"$REPO\" --json defaultBranchRef --jq '.defaultBranchRef.name'); gh api \"repos/$REPO/git/trees/$REF?recursive=1\" > hubdocs-tree.json && jq -r '.tree[] | select(.type==\"blob\" and (.path|test(\"docs/.+(api|dataset|datasets|js|javascript|typescript|hub-api)\"; \"i\"))) | .path' hubdocs-tree.json | sed -n '1,120p'","timeout":40},"startedAt":1774712886868,"endedAt":1774712887838,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && REPO='huggingface/hub-docs'; REF=$(gh repo view \"$REPO\" --json defaultBranchRef --jq '.defaultBranchRef.name'); for FILE in docs/hub/api.md; do mkdir -p \"repos/$REPO/$(dirname \"$FILE\")\"; gh api \"repos/$REPO/contents/$FILE?ref=$REF\" --jq .content | tr -d '\\n' | base64 --decode > \"repos/$REPO/$FILE\"; done; echo '--- api.md hits'; rg -n '/api/datasets|datasets\\)|author|filter|search|whoami' repos/huggingface/hub-docs/docs/hub/api.md | sed -n '1,80p'; echo '--- api.md top relevant'; nl -ba repos/huggingface/hub-docs/docs/hub/api.md | sed -n '1,220p'","timeout":40},"startedAt":1774712900275,"endedAt":1774712901002,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"cd /tmp/pi-librarian/run-XWfQn1 && rg -n 'listDatasets|datasetInfo|whoAmI|author|owner' repos/huggingface/huggingface.js/packages/hub/README.md repos/huggingface/huggingface.js/packages/hub/src/lib/*.ts | sed -n '1,120p'","timeout":20},"startedAt":1774712900275,"endedAt":1774712901002,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|fc_00c4186a4f7faeee0169c7f8675c708191affffac4a87a0218","name":"read","args":{"path":"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/list-datasets.ts","offset":47,"limit":60},"startedAt":1774712924382,"endedAt":1774712924413,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","args":{"path":"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/who-am-i.ts","offset":62,"limit":31},"startedAt":1774712924382,"endedAt":1774712924414,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","args":{"path":"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/dataset-info.ts","offset":9,"limit":52},"startedAt":1774712924382,"endedAt":1774712924414,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","args":{"path":"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/index.ts","offset":18,"limit":20},"startedAt":1774712924382,"endedAt":1774712924414,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","args":{"path":"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/list-datasets.spec.ts","offset":5,"limit":20},"startedAt":1774712924383,"endedAt":1774712924414,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","args":{"path":"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/hub-docs/docs/hub/api.md","offset":1,"limit":12},"startedAt":1774712924383,"endedAt":1774712924414,"isError":false}],"startedAt":1774712815290,"endedAt":1774712963606,"summaryText":"## Summary\nHi — enough signal here. In `huggingface.js`, the JS/TS path is: `whoAmI()` to get the authenticated username, then `listDatasets({ search: { owner: username }, accessToken })`; for per-dataset inspection, use `datasetInfo({ name, accessToken })`. Source also shows the underlying REST calls: `GET /api/whoami-v2`, `GET /api/datasets?author=...`, and `GET /api/datasets/{name}/revision/{rev}`.\n\n## Locations\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/list-datasets.ts:47-106` — public dataset-listing helper; accepts `search.owner`, maps it to `author=...`, calls `/api/datasets`, and attaches `Authorization` when `accessToken` is present. Blob: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/list-datasets.ts\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/who-am-i.ts:62-92` — authenticated identity helper; returns the current account info from `/api/whoami-v2`, including `name`. Blob: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/who-am-i.ts\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/dataset-info.ts:9-60` — per-dataset inspection helper; calls `/api/datasets/{name}/revision/{revision}` and sends auth when provided. Blob: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/dataset-info.ts\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/index.ts:18-36` — confirms `listDatasets`, `datasetInfo`, and `whoAmI` are exported from the package API. Blob: https://github.com/huggingface/huggingface.js/blob/main/packages/hub/src/lib/index.ts\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/hub-docs/docs/hub/api.md:1-12` — Hub docs entrypoint saying API endpoint docs moved to the OpenAPI Playground / spec. Blob: https://github.com/huggingface/hub-docs/blob/main/docs/hub/api.md\n\n## Evidence\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/list-datasets.ts:47-106` — proves the JS helper exists and shows the likely “my datasets” recipe:\n  ```ts\n  export async function* listDatasets(\n    params?: { search?: { query?: string; owner?: string; tags?: string[] }; ... } & Partial<CredentialsParams>,\n  ) {\n    ...\n    ...(params?.search?.owner ? { author: params.search.owner } : undefined),\n    ...\n    let url = `${params?.hubUrl || HUB_URL}/api/datasets` + (search ? \"?\" + search : \"\");\n    ...\n    ...(accessToken ? { Authorization: `[REDACTED_SECRET]` } : undefined),\n  }\n  ```\n  So, in TS/JS: get username, then call `listDatasets({ search: { owner: username }, accessToken })`.\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/who-am-i.ts:62-92` — proves how to get the authenticated user name:\n  ```ts\n  export async function whoAmI(...): Promise<WhoAmI & { auth: [REDACTED_SECRET] }> {\n    ...\n    const res = await ...(`${params.hubUrl ?? HUB_URL}/api/whoami-v2`, {\n      headers: { Authorization: `[REDACTED_SECRET]` },\n    });\n  }\n  ```\n  `WhoAmIUser` in the same file includes `name`, so this is the source for the current username.\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/dataset-info.ts:9-60` — proves the per-dataset inspection path:\n  ```ts\n  export async function datasetInfo(...) {\n    ...\n    `${params?.hubUrl || HUB_URL}/api/datasets/${params.name}/revision/${encodeURIComponent(\n      params.revision ?? \"HEAD\",\n    )}?${search.toString()}`\n    ...\n    ...(accessToken ? { Authorization: `[REDACTED_SECRET]` } : {}),\n  }\n  ```\n  Good for checking a specific private/gated/accessible dataset once you know its repo name.\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/index.ts:18-36` — proves these helpers are part of the exported package surface:\n  ```ts\n  export * from \"./dataset-info\";\n  ...\n  export * from \"./list-datasets\";\n  ...\n  export * from \"./who-am-i\";\n  ```\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/list-datasets.spec.ts:5-24` — extra confirmation that `search.owner` is the intended filter usage:\n  ```ts\n  for await (const entry of listDatasets({ search: { owner: \"hf-doc-build\" } })) {\n  ```\n- `/tmp/pi-librarian/run-XWfQn1/repos/huggingface/hub-docs/docs/hub/api.md:1-12` — docs-side pointer: the canonical Hub endpoint docs now live in OpenAPI, not hand-written pages.\n\n## Searched (only if incomplete / not found)\n- `gh search code 'listDatasets repo:huggingface/huggingface.js' --limit 10`\n- Repo tree probe for `huggingface/huggingface.js` to locate `who-am-i.ts`, `dataset-info.ts`, `types/public.ts`, `index.ts`\n- Repo tree probe for `huggingface/hub-docs` to locate API/docs entrypoints\n- Further GitHub code search hit rate limits, so docs evidence is limited to the fetched `docs/hub/api.md` entrypoint\n\n## Next steps (optional)\n- Fetch the live OpenAPI markdown/json from the Hub docs target and grep `GET /api/datasets` + auth semantics.\n- Inspect `check-repo-access` if you also need a “can this token see this dataset?” helper beyond `datasetInfo()`."}],"subagentProvider":"openai-codex","subagentModelId":"gpt-5.4","subagentSelection":{"reason":"ctx.model fallback (PI_LIBRARIAN_MODELS unset/blank): openai-codex/gpt-5.4"}},"isError":false,"timestamp":1774712963607}}
{"type":"message","id":"fbefb7fc","parentId":"f795de11","timestamp":"2026-03-28T15:50:14.008Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering dataset sharing**\n\nI think we should mention that if it's not in the UI, we might need to flag `--dataset owner/name`. There's also the option to register `/share-redacted-hf` or possibly extend `/share-redacted --target gist|hf|both`. It seems important to clarify how to upload the contents to the dataset repository. I'm wondering how to best represent the gist since the current method creates two files at the root level. This needs some thought!\n\n**Evaluating authentication options**\n\nI'm considering the pros and cons of different authentication methods for accessing Hugging Face accounts. There's a new runtime dependency that complicates things, especially with parsing CLI output. The JS SDK's integration is smoother, allowing for easier dataset management but still requires token handling. Full OAuth could be complicated and might be overkill, especially since I need to check if the JS SDK supports OAuth for Node. Ultimately, the best approach seems to be using token flow, not a full OAuth solution.\n\n**Considering dataset selection options**\n\nI need to mention that there are different ways to select datasets. One option is a static allowlist in the extension's config file. Another is to dynamically fetch the user's datasets using `whoAmI` and `listDatasets` from the Hugging Face hub, then intersect that with the allowlist. There's also the option to use a `--dataset owner/name` override. I should consider refactoring the current command structure from a hardcoded `gh gist create` to a more flexible publisher abstraction that can support multiple targets.\n\n**Evaluating authentication methods**\n\nI think using Pi's auth.json or the HF CLI is a good idea. The Pi documentation mentions that auth.json supports the Hugging Face key and is set to 0600, which is secure. However, I wonder if the extension API directly exposes secret storage. It seems like an extension can read `/.pi/agent/auth.json`, but that might be a manual process. I could potentially use the same file and key name, which seems practical.\n\n**Considering HF token detection**\n\nI’m thinking it might be a good idea to check into secret scanners for HF token detection, since the user mentioned it as a possibility. I should look for tokens that start with \"hf_\" or relate to Hugging Face. It's important to ensure that I inform the user about this possibility while navigating the topic carefully. I'll make sure to provide accurate and helpful info if there's anything I find relevant!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering dataset sharing**\\n\\nI think we should mention that if it's not in the UI, we might need to flag `--dataset owner/name`. There's also the option to register `/share-redacted-hf` or possibly extend `/share-redacted --target gist|hf|both`. It seems important to clarify how to upload the contents to the dataset repository. I'm wondering how to best represent the gist since the current method creates two files at the root level. This needs some thought!\"},{\"type\":\"summary_text\",\"text\":\"**Evaluating authentication options**\\n\\nI'm considering the pros and cons of different authentication methods for accessing Hugging Face accounts. There's a new runtime dependency that complicates things, especially with parsing CLI output. The JS SDK's integration is smoother, allowing for easier dataset management but still requires token handling. Full OAuth could be complicated and might be overkill, especially since I need to check if the JS SDK supports OAuth for Node. Ultimately, the best approach seems to be using token flow, not a full OAuth solution.\"},{\"type\":\"summary_text\",\"text\":\"**Considering dataset selection options**\\n\\nI need to mention that there are different ways to select datasets. One option is a static allowlist in the extension's config file. Another is to dynamically fetch the user's datasets using `whoAmI` and `listDatasets` from the Hugging Face hub, then intersect that with the allowlist. There's also the option to use a `--dataset owner/name` override. I should consider refactoring the current command structure from a hardcoded `gh gist create` to a more flexible publisher abstraction that can support multiple targets.\"},{\"type\":\"summary_text\",\"text\":\"**Evaluating authentication methods**\\n\\nI think using Pi's auth.json or the HF CLI is a good idea. The Pi documentation mentions that auth.json supports the Hugging Face key and is set to 0600, which is secure. However, I wonder if the extension API directly exposes secret storage. It seems like an extension can read `/.pi/agent/auth.json`, but that might be a manual process. I could potentially use the same file and key name, which seems practical.\"},{\"type\":\"summary_text\",\"text\":\"**Considering HF token detection**\\n\\nI’m thinking it might be a good idea to check into secret scanners for HF token detection, since the user mentioned it as a possibility. I should look for tokens that start with \\\"hf_\\\" or relate to Hugging Face. It's important to ensure that I inform the user about this possibility while navigating the topic carefully. I'll make sure to provide accurate and helpful info if there's anything I find relevant!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"rg -n \"hf_|huggingface|BearerToken|OpaqueToken\" extensions/secret-scanner.ts extensions/*.test.ts -S","timeout":20},"partialJson":"{\"command\":\"rg -n \\\"hf_|huggingface|BearerToken|OpaqueToken\\\" extensions/secret-scanner.ts extensions/*.test.ts -S\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1603,"output":2577,"cacheRead":43136,"cacheWrite":0,"totalTokens":47316,"cost":{"input":0.004007500000000001,"output":0.038655,"cacheRead":0.010784,"cacheWrite":0,"total":0.05344650000000001}},"stopReason":"toolUse","timestamp":1774712963611,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"9de5eeac","parentId":"fbefb7fc","timestamp":"2026-03-28T15:50:14.033Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"extensions/secret-scanner.ts:50:\t{ name: \"BearerTokenDetector\" },\nextensions/secret-scanner.ts:54:\t{ name: \"OpaqueTokenDetector\", options: { limit: 3.6 } },\nextensions/secret-scanner.ts:272:class OpaqueTokenDetector extends [REDACTED_OPAQUE] {\nextensions/secret-scanner.ts:273:\treadonly name = \"OpaqueTokenDetector\";\nextensions/secret-scanner.ts:383:class BearerTokenDetector extends [REDACTED_OPAQUE_BASE64] {\nextensions/secret-scanner.ts:384:\treadonly name = \"BearerTokenDetector\";\nextensions/secret-scanner.ts:401:\tOpaqueTokenDetector: (options) => new OpaqueTokenDetector(numberOption(options, \"limit\", 3.6)),\nextensions/secret-scanner.ts:409:\tBearerTokenDetector: () => new BearerTokenDetector(),\n"}],"isError":false,"timestamp":1774713014033}}
{"type":"message","id":"07c040a5","parentId":"9de5eeac","timestamp":"2026-03-28T15:50:20.293Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"[REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent/docs/extensions.md","offset":1755,"limit":170},"partialJson":"{\"path\":\"[REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent/docs/extensions.md\",\"offset\":1755,\"limit\":170}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":277,"output":174,"cacheRead":47232,"cacheWrite":0,"totalTokens":47683,"cost":{"input":0.0006925000000000001,"output":0.00261,"cacheRead":0.011807999999999999,"cacheWrite":0,"total":0.015110499999999999}},"stopReason":"toolUse","timestamp":1774713014034,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"8f1deda6","parentId":"07c040a5","timestamp":"2026-03-28T15:50:20.324Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"### Dialogs\n\n```typescript\n// Select from options\nconst choice = await ctx.ui.select(\"Pick one:\", [\"A\", \"B\", \"C\"]);\n\n// Confirm dialog\nconst ok = await ctx.ui.confirm(\"Delete?\", \"This cannot be undone\");\n\n// Text input\nconst name = await ctx.ui.input(\"Name:\", \"placeholder\");\n\n// Multi-line editor\nconst text = await ctx.ui.editor(\"Edit:\", \"prefilled text\");\n\n// Notification (non-blocking)\nctx.ui.notify(\"Done!\", \"info\");  // \"info\" | \"warning\" | \"error\"\n```\n\n#### Timed Dialogs with Countdown\n\nDialogs support a `timeout` option that auto-dismisses with a live countdown display:\n\n```typescript\n// Dialog shows \"Title (5s)\" → \"Title (4s)\" → ... → auto-dismisses at 0\nconst confirmed = await ctx.ui.confirm(\n  \"Timed Confirmation\",\n  \"This dialog will auto-cancel in 5 seconds. Confirm?\",\n  { timeout: 5000 }\n);\n\nif (confirmed) {\n  // User confirmed\n} else {\n  // User cancelled or timed out\n}\n```\n\n**Return values on timeout:**\n- `select()` returns `undefined`\n- `confirm()` returns `false`\n- `input()` returns `undefined`\n\n#### Manual Dismissal with AbortSignal\n\nFor more control (e.g., to distinguish timeout from user cancel), use `AbortSignal`:\n\n```typescript\nconst controller = new AbortController();\nconst timeoutId = setTimeout(() => controller.abort(), 5000);\n\nconst confirmed = await ctx.ui.confirm(\n  \"Timed Confirmation\",\n  \"This dialog will auto-cancel in 5 seconds. Confirm?\",\n  { signal: controller.signal }\n);\n\nclearTimeout(timeoutId);\n\nif (confirmed) {\n  // User confirmed\n} else if (controller.signal.aborted) {\n  // Dialog timed out\n} else {\n  // User cancelled (pressed Escape or selected \"No\")\n}\n```\n\nSee [examples/extensions/timed-confirm.ts](../examples/extensions/timed-confirm.ts) for complete examples.\n\n### Widgets, Status, and Footer\n\n```typescript\n// Status in footer (persistent until cleared)\nctx.ui.setStatus(\"my-ext\", \"Processing...\");\nctx.ui.setStatus(\"my-ext\", undefined);  // Clear\n\n// Working message (shown during streaming)\nctx.ui.setWorkingMessage(\"Thinking deeply...\");\nctx.ui.setWorkingMessage();  // Restore default\n\n// Widget above editor (default)\nctx.ui.setWidget(\"my-widget\", [\"Line 1\", \"Line 2\"]);\n// Widget below editor\nctx.ui.setWidget(\"my-widget\", [\"Line 1\", \"Line 2\"], { placement: \"belowEditor\" });\nctx.ui.setWidget(\"my-widget\", (tui, theme) => new Text(theme.fg(\"accent\", \"Custom\"), 0, 0));\nctx.ui.setWidget(\"my-widget\", undefined);  // Clear\n\n// Custom footer (replaces built-in footer entirely)\nctx.ui.setFooter((tui, theme) => ({\n  render(width) { return [theme.fg(\"dim\", \"Custom footer\")]; },\n  invalidate() {},\n}));\nctx.ui.setFooter(undefined);  // Restore built-in footer\n\n// Terminal title\nctx.ui.setTitle(\"pi - my-project\");\n\n// Editor text\nctx.ui.setEditorText(\"Prefill text\");\nconst current = ctx.ui.getEditorText();\n\n// Paste into editor (triggers paste handling, including collapse for large content)\nctx.ui.pasteToEditor(\"pasted content\");\n\n// Tool output expansion\nconst wasExpanded = ctx.ui.getToolsExpanded();\nctx.ui.setToolsExpanded(true);\nctx.ui.setToolsExpanded(wasExpanded);\n\n// Custom editor (vim mode, emacs mode, etc.)\nctx.ui.setEditorComponent((tui, theme, keybindings) => new VimEditor(tui, theme, keybindings));\nctx.ui.setEditorComponent(undefined);  // Restore default editor\n\n// Theme management (see themes.md for creating themes)\nconst themes = ctx.ui.getAllThemes();  // [{ name: \"dark\", path: \"/...\" | undefined }, ...]\nconst lightTheme = ctx.ui.getTheme(\"light\");  // Load without switching\nconst result = ctx.ui.setTheme(\"light\");  // Switch by name\nif (!result.success) {\n  ctx.ui.notify(`Failed: ${result.error}`, \"error\");\n}\nctx.ui.setTheme(lightTheme!);  // Or switch by Theme object\nctx.ui.theme.fg(\"accent\", \"styled text\");  // Access current theme\n```\n\n### Custom Components\n\nFor complex UI, use `ctx.ui.custom()`. This temporarily replaces the editor with your component until `done()` is called:\n\n```typescript\nimport { Text, Component } from \"@mariozechner/pi-tui\";\n\nconst result = await ctx.ui.custom<boolean>((tui, theme, keybindings, done) => {\n  const text = new Text(\"Press Enter to confirm, Escape to cancel\", 1, 1);\n\n  text.onKey = (key) => {\n    if (key === \"return\") done(true);\n    if (key === \"escape\") done(false);\n    return true;\n  };\n\n  return text;\n});\n\nif (result) {\n  // User pressed Enter\n}\n```\n\nThe callback receives:\n- `tui` - TUI instance (for screen dimensions, focus management)\n- `theme` - Current theme for styling\n- `keybindings` - App keybinding manager (for checking shortcuts)\n- `done(value)` - Call to close component and return value\n\nSee [tui.md](tui.md) for the full component API.\n\n#### Overlay Mode (Experimental)\n\nPass `{ overlay: true }` to render the component as a floating modal on top of existing content, without clearing the screen:\n\n```typescript\nconst result = await ctx.ui.custom<string | null>(\n  (tui, theme, keybindings, done) => new MyOverlayComponent({ onClose: done }),\n  { overlay: true }\n);\n```\n\nFor advanced positioning (anchors, margins, percentages, responsive visibility), pass `overlayOptions`. Use `onHandle` to control visibility programmatically:\n\n\n[213 more lines in file. Use offset=1925 to continue.]"}],"isError":false,"timestamp":1774713020320}}
{"type":"message","id":"5d93ab10","parentId":"8f1deda6","timestamp":"2026-03-28T15:50:25.672Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/list-datasets.ts","offset":1,"limit":140},"partialJson":"{\"path\":\"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/list-datasets.ts\",\"offset\":1,\"limit\":140}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/who-am-i.ts","offset":1,"limit":120},"partialJson":"{\"path\":\"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/who-am-i.ts\",\"offset\":1,\"limit\":120}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/dataset-info.ts","offset":1,"limit":90},"partialJson":"{\"path\":\"/tmp/pi-librarian/run-XWfQn1/repos/huggingface/huggingface.js/packages/hub/src/lib/dataset-info.ts\",\"offset\":1,\"limit\":90}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1480,"output":210,"cacheRead":47488,"cacheWrite":0,"totalTokens":49178,"cost":{"input":0.0037,"output":0.00315,"cacheRead":0.011871999999999999,"cacheWrite":0,"total":0.018722}},"stopReason":"toolUse","timestamp":1774713020325,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"8b15b3f9","parentId":"5d93ab10","timestamp":"2026-03-28T15:50:25.683Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import { HUB_URL } from \"../consts\";\nimport { createApiError } from \"../error\";\nimport type { ApiDatasetInfo } from \"../types/api/api-dataset\";\nimport type { CredentialsParams } from \"../types/public\";\nimport { checkCredentials } from \"../utils/checkCredentials\";\nimport { parseLinkHeader } from \"../utils/parseLinkHeader\";\nimport { pick } from \"../utils/pick\";\n\nexport const DATASET_EXPAND_KEYS = [\n\t\"private\",\n\t\"downloads\",\n\t\"gated\",\n\t\"likes\",\n\t\"lastModified\",\n] as const satisfies readonly (keyof ApiDatasetInfo)[];\n\nexport const DATASET_EXPANDABLE_KEYS = [\n\t\"author\",\n\t\"cardData\",\n\t\"citation\",\n\t\"createdAt\",\n\t\"disabled\",\n\t\"description\",\n\t\"downloads\",\n\t\"downloadsAllTime\",\n\t\"gated\",\n\t\"gitalyUid\",\n\t\"lastModified\",\n\t\"likes\",\n\t\"paperswithcode_id\",\n\t\"private\",\n\t// \"siblings\",\n\t\"sha\",\n\t\"tags\",\n] as const satisfies readonly (keyof ApiDatasetInfo)[];\n\nexport interface DatasetEntry {\n\tid: string;\n\tname: string;\n\tprivate: boolean;\n\tdownloads: number;\n\tgated: false | \"auto\" | \"manual\";\n\tlikes: number;\n\tupdatedAt: Date;\n}\n\nexport async function* listDatasets<\n\tconst T extends Exclude<(typeof DATASET_EXPANDABLE_KEYS)[number], (typeof DATASET_EXPAND_KEYS)[number]> = never,\n>(\n\tparams?: {\n\t\tsearch?: {\n\t\t\t/**\n\t\t\t * Will search in the dataset name for matches\n\t\t\t */\n\t\t\tquery?: string;\n\t\t\towner?: string;\n\t\t\ttags?: string[];\n\t\t};\n\t\thubUrl?: string;\n\t\tadditionalFields?: T[];\n\t\t/**\n\t\t * Set to limit the number of datasets returned.\n\t\t */\n\t\tlimit?: number;\n\t\t/**\n\t\t * Sort datasets by a specific field.\n\t\t */\n\t\tsort?:\n\t\t\t| \"createdAt\"\n\t\t\t| \"downloads\"\n\t\t\t| \"likes\"\n\t\t\t| \"lastModified\"\n\t\t\t| \"likes30d\"\n\t\t\t| \"trendingScore\"\n\t\t\t| \"datasetsServerInfo.numRows\"\n\t\t\t| \"mainSize\"\n\t\t\t| \"id\";\n\t\t/**\n\t\t * Custom fetch function to use instead of the default one, for example to use a proxy or edit headers.\n\t\t */\n\t\tfetch?: typeof fetch;\n\t} & Partial<CredentialsParams>,\n): AsyncGenerator<DatasetEntry & Pick<ApiDatasetInfo, T>> {\n\tconst accessToken = [REDACTED_SECRET] && checkCredentials(params);\n\tlet totalToFetch = params?.limit ?? Infinity;\n\tconst search = new URLSearchParams([\n\t\t...Object.entries({\n\t\t\tlimit: String(Math.min(totalToFetch, 500)),\n\t\t\t...(params?.search?.owner ? { author: params.search.owner } : undefined),\n\t\t\t...(params?.search?.query ? { search: params.search.query } : undefined),\n\t\t\t...(params?.sort ? { sort: params.sort } : undefined),\n\t\t}),\n\t\t...(params?.search?.tags?.map((tag) => [\"filter\", tag]) ?? []),\n\t\t...DATASET_EXPAND_KEYS.map((val) => [\"expand\", val] satisfies [string, string]),\n\t\t...(params?.additionalFields?.map((val) => [\"expand\", val] satisfies [string, string]) ?? []),\n\t]).toString();\n\tlet url: string | undefined = `${params?.hubUrl || HUB_URL}/api/datasets` + (search ? \"?\" + search : \"\");\n\n\twhile (url) {\n\t\tconst res: Response = await (params?.fetch ?? fetch)(url, {\n\t\t\theaders: {\n\t\t\t\taccept: \"application/json\",\n\t\t\t\t...(accessToken ? { Authorization: `[REDACTED_SECRET]` } : undefined),\n\t\t\t},\n\t\t});\n\n\t\tif (!res.ok) {\n\t\t\tthrow await createApiError(res);\n\t\t}\n\n\t\tconst items: ApiDatasetInfo[] = await res.json();\n\n\t\tfor (const item of items) {\n\t\t\tyield {\n\t\t\t\t...(params?.additionalFields && pick(item, params.additionalFields)),\n\t\t\t\tid: item._id,\n\t\t\t\tname: item.id,\n\t\t\t\tprivate: item.private,\n\t\t\t\tdownloads: item.downloads,\n\t\t\t\tlikes: item.likes,\n\t\t\t\tgated: item.gated,\n\t\t\t\tupdatedAt: new Date(item.lastModified),\n\t\t\t} as DatasetEntry & Pick<ApiDatasetInfo, T>;\n\t\t\ttotalToFetch--;\n\t\t\tif (totalToFetch <= 0) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\n\t\tconst linkHeader = res.headers.get(\"Link\");\n\n\t\turl = linkHeader ? parseLinkHeader(linkHeader).next : undefined;\n\t\t// Could update limit in url to fetch less items if not all items of next page are needed.\n\t}\n}\n"}],"isError":false,"timestamp":1774713025681}}
{"type":"message","id":"e7f0a47e","parentId":"8b15b3f9","timestamp":"2026-03-28T15:50:25.685Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import { HUB_URL } from \"../consts\";\nimport { createApiError } from \"../error\";\nimport type { ApiWhoAmIReponse } from \"../types/api/api-who-am-i\";\nimport type { AccessTokenRole, AuthType, CredentialsParams } from \"../types/public\";\nimport { checkCredentials } from \"../utils/checkCredentials\";\n\nexport interface WhoAmIUser {\n\t/** Unique ID persistent across renames */\n\tid: string;\n\ttype: \"user\";\n\temail: string;\n\temailVerified: boolean;\n\tisPro: boolean;\n\torgs: WhoAmIOrg[];\n\tname: string;\n\tfullname: string;\n\tcanPay: boolean;\n\tavatarUrl: string;\n\t/**\n\t * Unix timestamp in seconds\n\t */\n\tperiodEnd: number | null;\n\tbillingMode: \"postpaid\" | \"prepaid\";\n}\n\nexport interface WhoAmIOrg {\n\t/** Unique ID persistent across renames */\n\tid: string;\n\ttype: \"org\";\n\tname: string;\n\tfullname: string;\n\temail: string | null;\n\tcanPay: boolean;\n\tavatarUrl: string;\n\t/**\n\t * Unix timestamp in seconds\n\t */\n\tperiodEnd: number | null;\n}\n\nexport interface WhoAmIApp {\n\tid: string;\n\ttype: \"app\";\n\tname: string;\n\tscope?: {\n\t\tentities: string[];\n\t\trole: \"admin\" | \"write\" | \"contributor\" | \"read\";\n\t};\n}\n\nexport type WhoAmI = WhoAmIApp | WhoAmIOrg | WhoAmIUser;\nexport interface AuthInfo {\n\ttype: AuthType;\n\taccessToken?: {\n\t\tdisplayName: string;\n\t\trole: AccessTokenRole;\n\t\tcreatedAt: Date;\n\t};\n\texpiresAt?: Date;\n}\n\nexport async function whoAmI(\n\tparams: {\n\t\thubUrl?: string;\n\t\t/**\n\t\t * Custom fetch function to use instead of the default one, for example to use a proxy or edit headers.\n\t\t */\n\t\tfetch?: typeof fetch;\n\t} & CredentialsParams,\n): Promise<WhoAmI & { auth: [REDACTED_SECRET] }> {\n\tconst accessToken = [REDACTED_SECRET];\n\n\tconst res = await (params.fetch ?? fetch)(`${params.hubUrl ?? HUB_URL}/api/whoami-v2`, {\n\t\theaders: {\n\t\t\tAuthorization: `[REDACTED_SECRET]`,\n\t\t},\n\t});\n\n\tif (!res.ok) {\n\t\tthrow await createApiError(res);\n\t}\n\n\tconst response: ApiWhoAmIReponse & {\n\t\tauth: [REDACTED_SECRET];\n\t} = await res.json();\n\n\tif (typeof response.auth.accessToken?.createdAt === \"string\") {\n\t\tresponse.auth.accessToken.createdAt = new Date(response.auth.accessToken.createdAt);\n\t}\n\n\treturn response;\n}\n"}],"isError":false,"timestamp":1774713025683}}
{"type":"message","id":"940f5471","parentId":"e7f0a47e","timestamp":"2026-03-28T15:50:25.693Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import { HUB_URL } from \"../consts\";\nimport { createApiError } from \"../error\";\nimport type { ApiDatasetInfo } from \"../types/api/api-dataset\";\nimport type { CredentialsParams } from \"../types/public\";\nimport { checkCredentials } from \"../utils/checkCredentials\";\nimport { pick } from \"../utils/pick\";\nimport { type DATASET_EXPANDABLE_KEYS, DATASET_EXPAND_KEYS, type DatasetEntry } from \"./list-datasets\";\n\nexport async function datasetInfo<\n\tconst T extends Exclude<(typeof DATASET_EXPANDABLE_KEYS)[number], (typeof DATASET_EXPAND_KEYS)[number]> = never,\n>(\n\tparams: {\n\t\tname: string;\n\t\thubUrl?: string;\n\t\tadditionalFields?: T[];\n\t\t/**\n\t\t * An optional Git revision id which can be a branch name, a tag, or a commit hash.\n\t\t */\n\t\trevision?: string;\n\t\t/**\n\t\t * Custom fetch function to use instead of the default one, for example to use a proxy or edit headers.\n\t\t */\n\t\tfetch?: typeof fetch;\n\t} & Partial<CredentialsParams>,\n): Promise<DatasetEntry & Pick<ApiDatasetInfo, T>> {\n\tconst accessToken = [REDACTED_SECRET] && checkCredentials(params);\n\n\tconst search = new URLSearchParams([\n\t\t...DATASET_EXPAND_KEYS.map((val) => [\"expand\", val] satisfies [string, string]),\n\t\t...(params?.additionalFields?.map((val) => [\"expand\", val] satisfies [string, string]) ?? []),\n\t]).toString();\n\n\tconst response = await (params.fetch || fetch)(\n\t\t`${params?.hubUrl || HUB_URL}/api/datasets/${params.name}/revision/${encodeURIComponent(\n\t\t\tparams.revision ?? \"HEAD\",\n\t\t)}?${search.toString()}`,\n\t\t{\n\t\t\theaders: {\n\t\t\t\t...(accessToken ? { Authorization: `[REDACTED_SECRET]` } : {}),\n\t\t\t},\n\t\t},\n\t);\n\n\tif (!response.ok) {\n\t\tthrow await createApiError(response);\n\t}\n\n\tconst data = await response.json();\n\n\treturn {\n\t\t...(params?.additionalFields && pick(data, params.additionalFields)),\n\t\tid: data._id,\n\t\tname: data.id,\n\t\tprivate: data.private,\n\t\tdownloads: data.downloads,\n\t\tlikes: data.likes,\n\t\tgated: data.gated,\n\t\tupdatedAt: new Date(data.lastModified),\n\t} as DatasetEntry & Pick<ApiDatasetInfo, T>;\n}\n"}],"isError":false,"timestamp":1774713025691}}
{"type":"message","id":"5342a740","parentId":"940f5471","timestamp":"2026-03-28T15:51:01.658Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering extension commands**\n\nI’m thinking I need to inspect the extension command and check if the line offsets will be enough to read. I could reference the parseArgs lines, but maybe not exactly. I should mention that the current extension uses a public GitHub gist. \n\nI can propose a new architecture with a possible structure for publishers and config modules. If the user wants to select datasets during a push, I could lay out a practical flow. It feels feasible to mention that both gist and Hugging Face can be targeted with the same command.\n\n**Discussing dataset structure and uploads**\n\nI should mention the path structure for the dataset: it would look like `sessions/<createdAt>/<session>.redacted.jsonl` and `sessions/<createdAt>/openagentsessions.json`. This setup is better than using a root directory to avoid overwriting files. Including a manifest or README later could be helpful too.\n\nIf using a Hugging Face dataset repo, each push can create history, but it’s essential to keep the dataset tidy with timestamped directories. I need to communicate that if private datasets are used, the uploaded session won’t be public. For public sharing, the dataset must be public. \n\nAlso, Hugging Face's documentation notes that `create_repo`, `upload_file`, and `upload_folder` require login. The JS package supports actions with an access token, and OAuth is possible only if we host an HF OAuth app. Otherwise, personal access tokens or HF CLI auth would be necessary.\n\n**Formulating a concise message**\n\nI need to communicate that since the Pi extension API doesn’t have a general secret store and the browser-open API relies on provider OAuth, using token-based authentication is the cleaner option. That’s really important! \n\nI'll start my message with a friendly greeting like, \"Hi — nice fit; not hard,\" to create a motivating tone. Then I'll list the key points in bullet format. I want to make sure everything is straightforward and avoids any fluff for clarity.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering extension commands**\\n\\nI’m thinking I need to inspect the extension command and check if the line offsets will be enough to read. I could reference the parseArgs lines, but maybe not exactly. I should mention that the current extension uses a public GitHub gist. \\n\\nI can propose a new architecture with a possible structure for publishers and config modules. If the user wants to select datasets during a push, I could lay out a practical flow. It feels feasible to mention that both gist and Hugging Face can be targeted with the same command.\"},{\"type\":\"summary_text\",\"text\":\"**Discussing dataset structure and uploads**\\n\\nI should mention the path structure for the dataset: it would look like `sessions/<createdAt>/<session>.redacted.jsonl` and `sessions/<createdAt>/openagentsessions.json`. This setup is better than using a root directory to avoid overwriting files. Including a manifest or README later could be helpful too.\\n\\nIf using a Hugging Face dataset repo, each push can create history, but it’s essential to keep the dataset tidy with timestamped directories. I need to communicate that if private datasets are used, the uploaded session won’t be public. For public sharing, the dataset must be public. \\n\\nAlso, Hugging Face's documentation notes that `create_repo`, `upload_file`, and `upload_folder` require login. The JS package supports actions with an access token, and OAuth is possible only if we host an HF OAuth app. Otherwise, personal access tokens or HF CLI auth would be necessary.\"},{\"type\":\"summary_text\",\"text\":\"**Formulating a concise message**\\n\\nI need to communicate that since the Pi extension API doesn’t have a general secret store and the browser-open API relies on provider OAuth, using token-based authentication is the cleaner option. That’s really important! \\n\\nI'll start my message with a friendly greeting like, \\\"Hi — nice fit; not hard,\\\" to create a motivating tone. Then I'll list the key points in bullet format. I want to make sure everything is straightforward and avoids any fluff for clarity.\"}]}"},{"type":"text","text":"Hi — good fit; not much code, mostly auth/config plumbing.\n\nYes. Possible.\n\nWhat I found:\n\n- current extension already does the hard part: read session, redact, review, write 2 temp files  \n  `extensions/share-redacted-gist.ts`\n- only publish step is hardcoded to  \n  `gh gist create ...`\n- Hugging Face upload docs support dataset uploads directly:\n  - `upload_file(... repo_type=\"dataset\")`\n  - `upload_folder(... repo_type=\"dataset\")`\n  - `create_repo(... repo_type=\"dataset\")`\n- JS SDK also has what we need:\n  - `createRepo`\n  - `uploadFiles` / `uploadFile`\n  - `whoAmI`\n  - `listDatasets`\n  - `datasetInfo`\n  - optional OAuth helpers\n\nSo: technically easy.\n\nMy take: do **not** start with “real OAuth inside the extension”.\nToo much surface area for little gain.\n\n## Recommended shape\n\n### 1. Add a second publish target\nRefactor current gist-only flow into publishers:\n\n- `gist`\n- `huggingface`\n- maybe `both`\n\nCLI shape, e.g.:\n\n```text\n/share-redacted --target gist\n/share-redacted --target hf\n/share-redacted --target both\n/share-redacted --dataset [REDACTED_USER]/my-sessions\n```\n\n## 2. HF auth: [REDACTED_SECRET] sane option\nBest MVP:\n\n- user authenticates with **HF token**\n- extension uses either:\n  - `HF_TOKEN`\n  - or `~/.pi/agent/auth.json` key `huggingface`\n  - or `hf auth login` CLI if we decide to shell out to HF CLI\n\nWhy this path:\n\n- Pi docs already define `HF_TOKEN` / `auth.json[\"huggingface\"]`\n- no first-class extension secret store/settings API found\n- HF OAuth in JS is browser redirect oriented\n- Pi can do OAuth for providers via `/login`, but that’s really provider auth infra, not great for this extension\n\nSo: **token auth first**. Cleaner. Less cursed.\n\n## 3. Dataset selection from preconfigured list\nYes.\n\nI’d do **config file**, not hardcoded code.\n\nExample:\n`~/.pi/agent/pi-share-redacted-gist.json`\n\n```json\n{\n  \"huggingface\": {\n    \"datasets\": [\n      \"lukaskawerau/pi-open-agent-sessions\",\n      \"my-org/internal-agent-sessions\"\n    ],\n    \"defaultDataset\": \"lukaskawerau/pi-open-agent-sessions\"\n  }\n}\n```\n\nThen on each push:\n\n- if one dataset -> use it\n- if multiple -> `ctx.ui.select(...)`\n- if no UI -> require `--dataset`\n\nPi supports `ctx.ui.select(...)`, command autocomplete, custom UI etc.\n\n## 4. Upload layout\nDon’t dump files at repo root every time.\n\nBetter:\n\n```text\nsessions/[REDACTED_OPAQUE]/\n  my-session.redacted.jsonl\n  openagentsessions.json\n```\n\nReason:\n\n- avoids collisions\n- clean history\n- easy browsing\n- easier later indexing\n\n## 5. SDK vs CLI\nTwo valid implementations.\n\n### Option A — use `@huggingface/hub` directly\nBest long-term.\n\nPros:\n- native TS\n- list datasets with `whoAmI + listDatasets`\n- create repo if missing\n- upload files directly\n- better errors\n\nCons:\n- we must handle token resolution ourselves\n\n### Option B — shell out to `hf upload`\nFastest MVP.\n\nPros:\n- mirrors current `gh` approach\n- HF CLI handles auth/storage\n- low code\n\nCons:\n- extra runtime dependency\n- rougher UX for dataset listing/selection\n- more CLI parsing\n\nMy recommendation:\n- **MVP:** CLI if you want speed\n- **real feature:** `@huggingface/hub`\n\n## 6. One caveat\nIf you want users to “auth their HF account” with a polished in-extension login flow:\n- possible, but only with extra OAuth app plumbing\n- probably not worth it here\n\nIf “auth” means “paste/generate HF token once and reuse”:\n- yes\n- straightforward\n\n## 7. One extra security note\nCurrent scanner has generic token detection, but no explicit HF token detector.\nIf we add token input/paste UX, I’d add explicit `hf_...` detection too.\nCheap safety win.\n\n## Suggested implementation plan\n1. refactor publish step into backend interface\n2. add HF config loader\n3. add `--target`, `--dataset`\n4. add dataset picker UI\n5. add HF uploader\n6. keep gist path unchanged\n7. optional `--target both`\n\n## Verdict\nPossible: **yes**\nGood idea: **yes**\nBest auth model: **HF token, not OAuth-first**\nBest config model: **extension JSON config + per-push picker**\n\nIf you want, next step: I can implement the `@huggingface/hub` version.","textSignature":"{\"v\":1,\"id\":\"[REDACTED_OPAQUE]\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":2253,"output":1927,"cacheRead":49024,"cacheWrite":0,"totalTokens":53204,"cost":{"input":0.0056325,"output":0.028905,"cacheRead":0.012256,"cacheWrite":0,"total":0.0467935}},"stopReason":"stop","timestamp":1774713025693,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"c216a57b","parentId":"5342a740","timestamp":"2026-03-28T15:55:19.346Z","message":{"role":"user","content":[{"type":"text","text":"yeah, let's go with auth token and @huggingface/hub – that's the right shape. yes, let's add hf_ detection as well. config file with publishers is great. upload layout you suggest is also the right call. let's send it"}],"timestamp":1774713319343}}
{"type":"message","id":"55e141d2","parentId":"c216a57b","timestamp":"2026-03-28T15:55:31.629Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering regression tests**\n\nI think I might need to add regression tests when fits are involved. It’s important to make sure everything continues to work as intended. I’ll need to take a look at the repository structure and the relevant tests to see where these additions will fit best. A systematic approach here is essential to ensure no functionality breaks. Let’s find the best spots for those tests!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering regression tests**\\n\\nI think I might need to add regression tests when fits are involved. It’s important to make sure everything continues to work as intended. I’ll need to take a look at the repository structure and the relevant tests to see where these additions will fit best. A systematic approach here is essential to ensure no functionality breaks. Let’s find the best spots for those tests!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"echo 'Hi — ship it clean.' && npx -y @steipete/oracle --help >/tmp/oracle-help.txt 2>&1; tail -n 20 /tmp/oracle-help.txt; echo '---'; git status --short; echo '---'; fd -t f . extensions .","timeout":60},"partialJson":"{\"command\":\"echo 'Hi — ship it clean.' && npx -y @steipete/oracle --help >/tmp/oracle-help.txt 2>&1; tail -n 20 /tmp/oracle-help.txt; echo '---'; git status --short; echo '---'; fd -t f . extensions .\",\"timeout\":60}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"extensions/share-redacted-gist.test.ts"},"partialJson":"{\"path\":\"extensions/share-redacted-gist.test.ts\"}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"extensions/secret-scanner.ts"},"partialJson":"{\"path\":\"extensions/secret-scanner.ts\"}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"extensions/secret-scanner.test.ts"},"partialJson":"{\"path\":\"extensions/secret-scanner.test.ts\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":48653,"output":559,"cacheRead":0,"cacheWrite":0,"totalTokens":49212,"cost":{"input":0.1216325,"output":0.008385,"cacheRead":0,"cacheWrite":0,"total":0.1300175}},"stopReason":"toolUse","timestamp":1774713319344,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"2eb0d5e3","parentId":"55e141d2","timestamp":"2026-03-28T15:55:34.062Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"Hi — ship it clean.\n    Attach to a running/completed session and stream the saved transcript.\n\n  oracle --prompt \"Ship review\" --slug \"release-readiness-audit\"\n    Encourage the model to hand you a 3–5 word slug and pass it along with --slug.\n\n  oracle --prompt \"Tabs frozen: compare Project A SettingsView (apps/project-a/Sources/SettingsView.swift) vs Project B SettingsView (../project-b/mac/App/Presentation/Views/SettingsView.swift)\" --file apps/project-a/Sources/SettingsView.swift --file ../project-b/mac/App/Presentation/Views/SettingsView.swift\n    Spell out what each attached file is (repo + path + role) before asking for comparisons so the model knows exactly what it is reading.\n\n\nExamples:\n  # Quick API run with two files\n  oracle --prompt \"Summarize the risk register\" --file docs/risk-register.md docs/risk-matrix.md\n\n  # Browser run (no API key) + globbed TypeScript sources, excluding tests\n  oracle --engine browser --prompt \"Review the TS data layer\" \\\n    --file \"src/**/*.ts\" --file \"!src/**/*.test.ts\"\n\n  # Build, print, and copy a markdown bundle (semi-manual)\n  oracle --render --copy -p \"Review the TS data layer\" --file \"src/**/*.ts\" --file \"!src/**/*.test.ts\"\n\n---\n---\n./AGENTS.md\n./CHANGELOG.md\n./CLAUDE.md\n./LICENSE\n./README.md\n./extensions/redaction.test.ts\n./extensions/redaction.ts\n./extensions/review-apply.ts\n./extensions/review-model.test.ts\n./extensions/review-model.ts\n./extensions/review-ui.ts\n./extensions/secret-scanner.test.ts\n./extensions/secret-scanner.ts\n./extensions/share-redacted-gist.test.ts\n./extensions/share-redacted-gist.ts\n./package.json\nextensions/redaction.test.ts\nextensions/redaction.ts\nextensions/review-apply.ts\nextensions/review-model.test.ts\nextensions/review-model.ts\nextensions/review-ui.ts\nextensions/secret-scanner.test.ts\nextensions/secret-scanner.ts\nextensions/share-redacted-gist.test.ts\nextensions/share-redacted-gist.ts\n"}],"isError":false,"timestamp":1774713334062}}
{"type":"message","id":"b2666b5c","parentId":"2eb0d5e3","timestamp":"2026-03-28T15:55:34.063Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import { describe, expect, test } from \"bun:test\";\n\nimport { buildSubmissionMessage } from \"./share-redacted-gist\";\n\ndescribe(\"buildSubmissionMessage\", () => {\n\ttest(\"includes gist URL in the final user-facing message\", () => {\n\t\tconst url = \"https://gist.github.com/lukaskawerau/abcdef123456\";\n\t\tconst message = buildSubmissionMessage(url);\n\t\texpect(message).toContain(url);\n\t\texpect(message).toContain(\"https://openagentsessions.org/submit\");\n\t\texpect(message).toContain(\"paste that URL\");\n\t});\n\n\ttest(\"falls back to a clear recovery message when URL parsing fails\", () => {\n\t\tconst message = buildSubmissionMessage(undefined);\n\t\texpect(message).toContain(\"Could not parse gist URL\");\n\t\texpect(message).toContain(\"https://openagentsessions.org/submit\");\n\t});\n});\n"}],"isError":false,"timestamp":1774713334062}}
{"type":"message","id":"a880eeb8","parentId":"b2666b5c","timestamp":"2026-03-28T15:55:34.074Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"export type SecretFinding = {\n\tpluginName: string;\n\tsecretType: string;\n\tlabel: string;\n\tvalue: string;\n\tstart: number;\n\tend: number;\n\tplaceholder: string;\n\tscore: number;\n\treason: string;\n};\n\nexport type SecretPluginConfig = {\n\tname: string;\n\toptions?: Record<string, unknown>;\n};\n\nexport type SecretScanOptions = {\n\tplugins?: readonly SecretDetectorPlugin[];\n};\n\nexport type SecretScanContext = {\n\ttext: string;\n};\n\nexport interface SecretDetectorPlugin {\n\treadonly name: string;\n\treadonly secretType: string;\n\tanalyzeString(text: string, context: SecretScanContext): SecretFinding[];\n\tjson(): SecretPluginConfig;\n}\n\nconst KEYWORD_PATTERN =\n\t/\\b(?:api[_-]?key|access[_-]?token|refresh[_-]?token|auth(?:orization)?|bearer|client[_-]?secret|cookie|credential|passwd|password|private[_-]?key|secret|session|token)\\b/i;\nconst SECRET_ASSIGNMENT_PATTERN = /\\b([A-Za-z][A-Za-z0-9_-]{1,40})\\b\\s*[:=]\\s*(\"[^\"]+\"|'[^']+'|`[^`]+`|[^\\s,;\\]}]+)/g;\nconst REDACTED_PATTERN = /^\\[REDACTED_[A-Z0-9_]+\\]$/;\nconst UUID_CANDIDATE_PATTERN = /^(?:[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}|[0-9a-f]{32})$/i;\nconst SAFE_GIT_CONTEXT_PATTERN = /\\b(?:commit|revision|sha|parent|tree|oid)\\b/i;\nconst SAFE_HASH_CONTEXT_PATTERN = /\\b(?:sha256|checksum|digest|integrity|hash)\\b/i;\nconst SUSPICIOUS_CONTEXT_PATTERN = /\\b(?:token|secret|api[_-]?key|auth|authorization|bearer|cookie|session|password|passwd|signature)\\b/i;\n\nexport const DEFAULT_SECRET_PLUGIN_CONFIGS: SecretPluginConfig[] = [\n\t{ name: \"PrivateKeyDetector\" },\n\t{ name: \"GitHubTokenDetector\" },\n\t{ name: \"AwsKeyDetector\" },\n\t{ name: \"OpenAIDetector\" },\n\t{ name: \"GoogleApiKeyDetector\" },\n\t{ name: \"SlackTokenDetector\" },\n\t{ name: \"JwtDetector\" },\n\t{ name: \"BearerTokenDetector\" },\n\t{ name: \"KeywordDetector\" },\n\t{ name: \"HexHighEntropyString\", options: { limit: 3.0 } },\n\t{ name: \"[REDACTED_OPAQUE]\", options: { limit: 4.2 } },\n\t{ name: \"OpaqueTokenDetector\", options: { limit: 3.6 } },\n];\n\nexport function initializeSecretPlugins(configs: readonly SecretPluginConfig[] = DEFAULT_SECRET_PLUGIN_CONFIGS): SecretDetectorPlugin[] {\n\treturn configs.map((config) => createSecretPlugin(config));\n}\n\nexport function scanSecrets(text: string, options: SecretScanOptions = {}): SecretFinding[] {\n\tif (!text) return [];\n\tconst plugins = options.plugins ?? DEFAULT_SECRET_PLUGINS;\n\tconst context: SecretScanContext = { text };\n\tconst findings = plugins.flatMap((plugin) => plugin.analyzeString(text, context));\n\treturn resolveOverlaps(findings);\n}\n\nexport abstract class BaseSecretPlugin implements SecretDetectorPlugin {\n\tabstract readonly name: string;\n\tabstract readonly secretType: string;\n\tprotected readonly defaultPlaceholder = \"[REDACTED_SECRET]\";\n\n\tabstract analyzeString(text: string, context: SecretScanContext): SecretFinding[];\n\n\tjson(): SecretPluginConfig {\n\t\treturn { name: this.name };\n\t}\n\n\tprotected buildFinding(args: Omit<SecretFinding, \"pluginName\" | \"secretType\">): SecretFinding {\n\t\treturn {\n\t\t\tpluginName: this.name,\n\t\t\tsecretType: this.secretType,\n\t\t\t...args,\n\t\t};\n\t}\n}\n\nexport abstract class RegexBasedSecretPlugin extends BaseSecretPlugin {\n\tprotected abstract readonly denylist: readonly RegExp[];\n\n\tanalyzeString(text: string): SecretFinding[] {\n\t\tconst findings: SecretFinding[] = [];\n\t\tfor (const pattern of this.denylist) {\n\t\t\tfor (const match of text.matchAll(globalize(pattern))) {\n\t\t\t\tconst fullMatch = match[0] ?? \"\";\n\t\t\t\tconst value = this.extractValue(match);\n\t\t\t\tif (!value || !looksSensitiveSecretValue(value)) continue;\n\t\t\t\tconst relativeOffset = Math.max(0, fullMatch.indexOf(value));\n\t\t\t\tconst start = (match.index ?? 0) + relativeOffset;\n\t\t\t\tconst end = start + value.length;\n\t\t\t\tif (!this.shouldKeep(value, text, match)) continue;\n\t\t\t\tfindings.push(\n\t\t\t\t\tthis.buildFinding({\n\t\t\t\t\t\tlabel: this.labelFor(value),\n\t\t\t\t\t\tvalue,\n\t\t\t\t\t\tstart,\n\t\t\t\t\t\tend,\n\t\t\t\t\t\tplaceholder: this.placeholderFor(value),\n\t\t\t\t\t\tscore: this.scoreFor(value, text),\n\t\t\t\t\t\treason: this.reasonFor(value),\n\t\t\t\t\t}),\n\t\t\t\t);\n\t\t\t}\n\t\t}\n\t\treturn findings;\n\t}\n\n\tprotected extractValue(match: RegExpMatchArray): string {\n\t\treturn match[0] ?? \"\";\n\t}\n\n\tprotected shouldKeep(_value: string, _text: string, _match: RegExpMatchArray): boolean {\n\t\treturn true;\n\t}\n\n\tprotected labelFor(_value: string): string {\n\t\treturn humanizeSecretType(this.secretType);\n\t}\n\n\tprotected placeholderFor(_value: string): string {\n\t\treturn this.defaultPlaceholder;\n\t}\n\n\tprotected scoreFor(_value: string, _text: string): number {\n\t\treturn 120;\n\t}\n\n\tprotected reasonFor(_value: string): string {\n\t\treturn `${humanizeSecretType(this.secretType)} matched ${this.name}`;\n\t}\n}\n\nclass KeywordDetector extends BaseSecretPlugin {\n\treadonly name = \"KeywordDetector\";\n\treadonly secretType = \"keyword_secret\";\n\n\tanalyzeString(text: string): SecretFinding[] {\n\t\tconst findings: SecretFinding[] = [];\n\t\tfor (const match of text.matchAll(SECRET_ASSIGNMENT_PATTERN)) {\n\t\t\tconst key = match[1] ?? \"value\";\n\t\t\tif (!KEYWORD_PATTERN.test(key)) continue;\n\t\t\tconst rawValue = trimWrappedValue(match[2] ?? \"\");\n\t\t\tif (!looksSensitiveSecretValue(rawValue)) continue;\n\t\t\tconst fullMatch = match[0] ?? \"\";\n\t\t\tconst valueOffset = fullMatch.indexOf(rawValue);\n\t\t\tconst start = (match.index ?? 0) + Math.max(0, valueOffset);\n\t\t\tfindings.push(\n\t\t\t\tthis.buildFinding({\n\t\t\t\t\tlabel: \"Keyword secret\",\n\t\t\t\t\tvalue: rawValue,\n\t\t\t\t\tstart,\n\t\t\t\t\tend: start + rawValue.length,\n\t\t\t\t\tplaceholder: this.defaultPlaceholder,\n\t\t\t\t\tscore: 132,\n\t\t\t\t\treason: `Sensitive-looking value assigned to ${key}`,\n\t\t\t\t}),\n\t\t\t);\n\t\t}\n\t\treturn findings;\n\t}\n}\n\nabstract class HighEntropyStringPlugin extends BaseSecretPlugin {\n\tprotected abstract readonly candidatePattern: RegExp;\n\tprotected abstract readonly limit: number;\n\tprotected abstract readonly minimumLength: number;\n\n\tanalyzeString(text: string): SecretFinding[] {\n\t\tconst findings: SecretFinding[] = [];\n\t\tfor (const match of text.matchAll(globalize(this.candidatePattern))) {\n\t\t\tconst value = match[0] ?? \"\";\n\t\t\tif (!looksSensitiveSecretValue(value)) continue;\n\t\t\tif (!this.isCandidate(value, text, match.index ?? 0)) continue;\n\t\t\tconst suspiciousContext = contextLooksSensitive(text, match.index ?? 0, value.length);\n\t\t\tfindings.push(\n\t\t\t\tthis.buildFinding({\n\t\t\t\t\tlabel: this.labelFor(value),\n\t\t\t\t\tvalue,\n\t\t\t\t\tstart: match.index ?? 0,\n\t\t\t\t\tend: (match.index ?? 0) + value.length,\n\t\t\t\t\tplaceholder: this.placeholderFor(value),\n\t\t\t\t\tscore: this.scoreFor(value, suspiciousContext),\n\t\t\t\t\treason: this.reasonFor(value),\n\t\t\t\t}),\n\t\t\t);\n\t\t}\n\t\treturn findings;\n\t}\n\n\tjson(): SecretPluginConfig {\n\t\treturn { name: this.name, options: { limit: this.limit } };\n\t}\n\n\tprotected labelFor(_value: string): string {\n\t\treturn humanizeSecretType(this.secretType);\n\t}\n\n\tprotected scoreFor(_value: string, suspiciousContext: boolean): number {\n\t\treturn suspiciousContext ? 116 : 90;\n\t}\n\n\tprotected reasonFor(_value: string): string {\n\t\treturn `High-entropy value matched ${this.name}`;\n\t}\n\n\tprotected abstract isCandidate(value: string, text: string, start: number): boolean;\n}\n\nclass HexHighEntropyString extends HighEntropyStringPlugin {\n\treadonly name = \"HexHighEntropyString\";\n\treadonly secretType = \"opaque_hex\";\n\tprotected readonly candidatePattern = /\\b[0-9a-f]{16,}\\b/gi;\n\tprotected readonly minimumLength = 32;\n\n\tconstructor(protected readonly limit = 3.0) {\n\t\tsuper();\n\t}\n\n\tprotected placeholderFor(): string {\n\t\treturn \"[REDACTED_OPAQUE_HEX]\";\n\t}\n\n\tprotected isCandidate(value: string, text: string, start: number): boolean {\n\t\tif (!/^[0-9a-f]+$/i.test(value)) return false;\n\t\tif (UUID_CANDIDATE_PATTERN.test(value)) return false;\n\t\tconst suspiciousContext = contextLooksSensitive(text, start, value.length);\n\t\tconst minLength = suspiciousContext ? 24 : this.minimumLength;\n\t\tconst minLimit = suspiciousContext ? Math.max(2.7, this.limit - 0.3) : this.limit;\n\t\tif (value.length < minLength) return false;\n\t\tif (isLikelySafeHash(value, sliceSurroundings(text, start, value.length))) return false;\n\t\treturn shannonEntropy(value) >= minLimit;\n\t}\n}\n\nclass [REDACTED_OPAQUE] extends HighEntropyStringPlugin {\n\treadonly name = \"[REDACTED_OPAQUE]\";\n\treadonly secretType = \"opaque_base64\";\n\tprotected readonly candidatePattern = /[-A-Za-z0-9+_]{16,}={0,2}/g;\n\tprotected readonly minimumLength = 24;\n\n\tconstructor(protected readonly limit = 4.2) {\n\t\tsuper();\n\t}\n\n\tprotected placeholderFor(): string {\n\t\treturn \"[REDACTED_OPAQUE_BASE64]\";\n\t}\n\n\tprotected isCandidate(value: string, text: string, start: number): boolean {\n\t\tif (!/^[A-Za-z0-9+_-]+={0,2}$/.test(value)) return false;\n\t\tconst suspiciousContext = contextLooksSensitive(text, start, value.length);\n\t\tconst minLength = suspiciousContext ? 16 : this.minimumLength;\n\t\tconst minSignals = suspiciousContext ? 1 : 2;\n\t\tconst minLimit = suspiciousContext ? Math.max(3.8, this.limit - 0.4) : this.limit;\n\t\tif (value.length < minLength) return false;\n\t\tif (signalCount(value) < minSignals) return false;\n\t\treturn shannonEntropy(value) >= minLimit;\n\t}\n}\n\nclass OpaqueTokenDetector extends HighEntropyStringPlugin {\n\treadonly name = \"OpaqueTokenDetector\";\n\treadonly secretType = \"opaque\";\n\tprotected readonly candidatePattern = /[-A-Za-z0-9_]{20,}/g;\n\tprotected readonly minimumLength = 20;\n\n\tconstructor(protected readonly limit = 3.6) {\n\t\tsuper();\n\t}\n\n\tprotected placeholderFor(): string {\n\t\treturn \"[REDACTED_OPAQUE]\";\n\t}\n\n\tprotected isCandidate(value: string, text: string, start: number): boolean {\n\t\tif (!/^[-A-Za-z0-9_]+$/.test(value)) return false;\n\t\tconst suspiciousContext = contextLooksSensitive(text, start, value.length);\n\t\tconst minLength = suspiciousContext ? 16 : this.minimumLength;\n\t\tconst minClasses = suspiciousContext ? 2 : 3;\n\t\tconst minLimit = suspiciousContext ? Math.max(3.2, this.limit - 0.4) : this.limit;\n\t\tif (value.length < minLength) return false;\n\t\tif (characterClassCount(value) < minClasses) return false;\n\t\treturn shannonEntropy(value) >= minLimit;\n\t}\n}\n\nclass PrivateKeyDetector extends RegexBasedSecretPlugin {\n\treadonly name = \"PrivateKeyDetector\";\n\treadonly secretType = \"private_key\";\n\tprotected readonly denylist = [\n\t\t/-----BEGIN (?:RSA |DSA |EC |OPENSSH |PGP |ENCRYPTED )?PRIVATE KEY-----[\\s\\S]*?-----END (?:RSA |DSA |EC |OPENSSH |PGP |ENCRYPTED )?PRIVATE KEY-----/g,\n\t\t/-----BEGIN (?:RSA |DSA |EC |OPENSSH |PGP |ENCRYPTED )?PRIVATE KEY-----/g,\n\t] as const;\n\n\tprotected placeholderFor(): string {\n\t\treturn \"[REDACTED_PRIVATE_KEY]\";\n\t}\n\n\tprotected scoreFor(): number {\n\t\treturn 180;\n\t}\n}\n\nclass GitHubTokenDetector extends RegexBasedSecretPlugin {\n\treadonly name = \"GitHubTokenDetector\";\n\treadonly secretType = \"github_token\";\n\tprotected readonly denylist = [/\\b(?:gh[opusr]_[A-Za-z0-9]{36,255}|github_pat_[A-Za-z0-9_]{20,})\\b/g] as const;\n\n\tprotected placeholderFor(): string {\n\t\treturn \"[REDACTED_TOKEN]\";\n\t}\n\n\tprotected scoreFor(): number {\n\t\treturn 158;\n\t}\n}\n\nclass AwsKeyDetector extends RegexBasedSecretPlugin {\n\treadonly name = \"AwsKeyDetector\";\n\treadonly secretType = \"aws_key\";\n\tprotected readonly denylist = [/\\b(?:A3T[A-Z0-9]|AKIA|AGPA|AIDA|AROA|AIPA|ANPA|ANVA|ASIA)[A-Z0-9]{16}\\b/g] as const;\n\n\tprotected scoreFor(): number {\n\t\treturn 152;\n\t}\n}\n\nclass OpenAIDetector extends RegexBasedSecretPlugin {\n\treadonly name = \"OpenAIDetector\";\n\treadonly secretType = \"openai_key\";\n\tprotected readonly denylist = [/\\bsk-(?:proj-)?[A-Za-z0-9_-]{20,}\\b/g] as const;\n\n\tprotected scoreFor(): number {\n\t\treturn 154;\n\t}\n}\n\nclass GoogleApiKeyDetector extends RegexBasedSecretPlugin {\n\treadonly name = \"GoogleApiKeyDetector\";\n\treadonly secretType = \"google_api_key\";\n\tprotected readonly denylist = [/\\bAIza[0-9A-Za-z_-]{35}\\b/g] as const;\n\n\tprotected scoreFor(): number {\n\t\treturn 150;\n\t}\n}\n\nclass SlackTokenDetector extends RegexBasedSecretPlugin {\n\treadonly name = \"SlackTokenDetector\";\n\treadonly secretType = \"slack_token\";\n\tprotected readonly denylist = [/\\bxox[baprs]-[A-Za-z0-9-]{10,}\\b/g] as const;\n\n\tprotected scoreFor(): number {\n\t\treturn 150;\n\t}\n}\n\nclass JwtDetector extends RegexBasedSecretPlugin {\n\treadonly name = \"JwtDetector\";\n\treadonly secretType = \"jwt\";\n\tprotected readonly denylist = [/\\beyJ[A-Za-z0-9_-]{10,}\\.[A-Za-z0-9_-]{10,}\\.[A-Za-z0-9_-]{10,}\\b/g] as const;\n\n\tprotected placeholderFor(): string {\n\t\treturn \"[REDACTED_JWT]\";\n\t}\n\n\tprotected scoreFor(): number {\n\t\treturn 148;\n\t}\n}\n\nclass BearerTokenDetector extends RegexBasedSecretPlugin {\n\treadonly name = \"BearerTokenDetector\";\n\treadonly secretType = \"bearer_token\";\n\tprotected readonly denylist = [/\\bBearer\\s+([A-Za-z0-9._~+/-]{8,})/g] as const;\n\n\tprotected extractValue(match: RegExpMatchArray): string {\n\t\treturn match[1] ?? \"\";\n\t}\n\n\tprotected scoreFor(): number {\n\t\treturn 156;\n\t}\n}\n\nconst BUILTIN_PLUGIN_FACTORIES: Record<string, (options?: Record<string, unknown>) => SecretDetectorPlugin> = {\n\tKeywordDetector: () => new KeywordDetector(),\n\t[REDACTED_OPAQUE]: (options) => new [REDACTED_OPAQUE](numberOption(options, \"limit\", 4.2)),\n\tHexHighEntropyString: (options) => new HexHighEntropyString(numberOption(options, \"limit\", 3.0)),\n\tOpaqueTokenDetector: (options) => new OpaqueTokenDetector(numberOption(options, \"limit\", 3.6)),\n\tPrivateKeyDetector: () => new PrivateKeyDetector(),\n\tGitHubTokenDetector: () => new GitHubTokenDetector(),\n\tAwsKeyDetector: () => new AwsKeyDetector(),\n\tOpenAIDetector: () => new OpenAIDetector(),\n\tGoogleApiKeyDetector: () => new GoogleApiKeyDetector(),\n\tSlackTokenDetector: () => new SlackTokenDetector(),\n\tJwtDetector: () => new JwtDetector(),\n\tBearerTokenDetector: () => new BearerTokenDetector(),\n};\n\nconst DEFAULT_SECRET_PLUGINS = initializeSecretPlugins();\n\nfunction createSecretPlugin(config: SecretPluginConfig): SecretDetectorPlugin {\n\tconst factory = BUILTIN_PLUGIN_FACTORIES[config.name];\n\tif (!factory) throw new Error(`Unknown secret plugin: ${config.name}`);\n\treturn factory(config.options);\n}\n\nfunction resolveOverlaps(findings: readonly SecretFinding[]): SecretFinding[] {\n\tconst accepted: SecretFinding[] = [];\n\tfor (const finding of [...findings].sort((a, b) => b.score - a.score || (b.end - b.start) - (a.end - a.start) || a.start - b.start)) {\n\t\tif (accepted.some((entry) => overlaps(entry, finding))) continue;\n\t\taccepted.push(finding);\n\t}\n\treturn accepted.sort((a, b) => a.start - b.start || b.score - a.score);\n}\n\nfunction overlaps(left: SecretFinding, right: SecretFinding): boolean {\n\treturn left.start < right.end && right.start < left.end;\n}\n\nfunction humanizeSecretType(secretType: string): string {\n\treturn secretType\n\t\t.split(\"_\")\n\t\t.map((part) => part.charAt(0).toUpperCase() + part.slice(1))\n\t\t.join(\" \");\n}\n\nfunction trimWrappedValue(value: string): string {\n\tconst trimmed = value.trim();\n\tif ((trimmed.startsWith('\"') && trimmed.endsWith('\"')) || (trimmed.startsWith(\"'\") && trimmed.endsWith(\"'\")) || (trimmed.startsWith(\"`\") && trimmed.endsWith(\"`\"))) {\n\t\treturn trimmed.slice(1, -1);\n\t}\n\treturn trimmed;\n}\n\nfunction looksSensitiveSecretValue(value: string): boolean {\n\tif (!value || value.length < 4) return false;\n\tif (REDACTED_PATTERN.test(value)) return false;\n\tif (/^(?:true|false|null|undefined)$/i.test(value)) return false;\n\tif (/^(?:yes|no|ok|none|error)$/i.test(value)) return false;\n\tif (/^\\d+(?:-\\d+)?$/.test(value)) return false;\n\tif (looksWordySlug(value)) return false;\n\treturn true;\n}\n\nfunction contextLooksSensitive(text: string, start: number, length: number): boolean {\n\treturn SUSPICIOUS_CONTEXT_PATTERN.test(sliceSurroundings(text, start, length));\n}\n\nfunction sliceSurroundings(text: string, start: number, length: number): string {\n\tconst before = text.slice(Math.max(0, start - 48), start);\n\tconst after = text.slice(start + length, start + length + 48);\n\treturn `${before} ${after}`;\n}\n\nfunction isLikelySafeHash(candidate: string, surroundings: string): boolean {\n\tif (/^[0-9a-f]{40}$/i.test(candidate) && SAFE_GIT_CONTEXT_PATTERN.test(surroundings)) return true;\n\tif (/^[0-9a-f]{64}$/i.test(candidate) && SAFE_HASH_CONTEXT_PATTERN.test(surroundings)) return true;\n\treturn false;\n}\n\nfunction looksWordySlug(candidate: string): boolean {\n\tconst segments = candidate.split(/[-_]/).filter(Boolean);\n\tconst alphaSegments = segments.filter((segment) => /^[A-Za-z]{3,}$/.test(segment));\n\tconst letters = [...candidate].filter((char) => /[A-Za-z]/.test(char)).length;\n\tif (alphaSegments.length < 2 || letters < 8) return false;\n\tconst vowels = [...candidate].filter((char) => /[AEIOUaeiou]/.test(char)).length;\n\tconst vowelRatio = letters > 0 ? vowels / letters : 0;\n\treturn vowelRatio >= 0.25 && vowelRatio <= 0.6;\n}\n\nfunction signalCount(candidate: string): number {\n\tlet count = 0;\n\tif (/[A-Z]/.test(candidate) && /[a-z]/.test(candidate)) count += 1;\n\tif (/\\d/.test(candidate)) count += 1;\n\tif (/[-_+=]/.test(candidate)) count += 1;\n\treturn count;\n}\n\nfunction characterClassCount(candidate: string): number {\n\tlet count = 0;\n\tif (/[a-z]/.test(candidate)) count += 1;\n\tif (/[A-Z]/.test(candidate)) count += 1;\n\tif (/\\d/.test(candidate)) count += 1;\n\tif (/[-_]/.test(candidate)) count += 1;\n\treturn count;\n}\n\nfunction shannonEntropy(input: string): number {\n\tconst frequencies = new Map<string, number>();\n\tfor (const char of input) {\n\t\tfrequencies.set(char, (frequencies.get(char) ?? 0) + 1);\n\t}\n\treturn [...frequencies.values()].reduce((sum, count) => {\n\t\tconst probability = count / input.length;\n\t\treturn sum - probability * Math.log2(probability);\n\t}, 0);\n}\n\nfunction numberOption(options: Record<string, unknown> | undefined, key: string, fallback: number): number {\n\tconst value = options?.[key];\n\treturn typeof value === \"number\" && Number.isFinite(value) ? value : fallback;\n}\n\nfunction globalize(pattern: RegExp): RegExp {\n\tconst flags = pattern.flags.includes(\"g\") ? pattern.flags : `${pattern.flags}g`;\n\treturn new RegExp(pattern.source, flags);\n}\n"}],"isError":false,"timestamp":1774713334063}}
{"type":"message","id":"6906b1fc","parentId":"a880eeb8","timestamp":"2026-03-28T15:55:34.078Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import { describe, expect, test } from \"bun:test\";\n\nimport { DEFAULT_SECRET_PLUGIN_CONFIGS, [REDACTED_OPAQUE], scanSecrets } from \"./secret-scanner\";\n\ndescribe(\"secret scanner\", () => {\n\ttest(\"initializes detect-secrets style built-ins\", () => {\n\t\tconst plugins = initializeSecretPlugins();\n\t\texpect(plugins.map((plugin) => plugin.name)).toEqual(DEFAULT_SECRET_PLUGIN_CONFIGS.map((plugin) => plugin.name));\n\t\texpect(plugins.map((plugin) => plugin.json())).toEqual(DEFAULT_SECRET_PLUGIN_CONFIGS);\n\t});\n\n\ttest(\"detects provider tokens before generic keyword matches\", () => {\n\t\tconst findings = scanSecrets(\"GITHUB_TOKEN=[REDACTED_TOKEN]\");\n\t\texpect(findings).toHaveLength(1);\n\t\texpect(findings[0]).toMatchObject({\n\t\t\tsecretType: \"github_token\",\n\t\t\tvalue: \"[REDACTED_TOKEN]\",\n\t\t\tplaceholder: \"[REDACTED_TOKEN]\",\n\t\t});\n\t});\n\n\ttest(\"detects private key blocks\", () => {\n\t\tconst findings = scanSecrets([\n\t\t\t\"[REDACTED_PRIVATE_KEY]\",\n\t\t].join(\"\\n\"));\n\t\texpect(findings).toHaveLength(1);\n\t\texpect(findings[0]).toMatchObject({\n\t\t\tsecretType: \"private_key\",\n\t\t\tplaceholder: \"[REDACTED_PRIVATE_KEY]\",\n\t\t});\n\t\texpect(findings[0]?.value).toContain(\"BEGIN OPENSSH PRIVATE KEY\");\n\t});\n\n\ttest(\"keeps safe commit hashes out of entropy matches\", () => {\n\t\tconst findings = scanSecrets(\"commit 8f14e45fceea167a5a36dedd4bea2543c6f9d1ab\");\n\t\texpect(findings).toHaveLength(0);\n\t});\n});\n"}],"isError":false,"timestamp":1774713334063}}
{"type":"message","id":"8be83e6c","parentId":"6906b1fc","timestamp":"2026-03-28T15:55:41.706Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Evaluating package dependencies**\n\nI need to inspect and possibly review model tests, though I’m not entirely sure. It seems I also need to add a dependency to package.json. Maybe I should create a config file in the home directory? There’s the option of making a new module to keep files under 500 lines since I already have a file with 376 lines. If I add a lot more, splitting might be necessary. I should also consider handling the auth token and updating the README and CHANGELOG.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating package dependencies**\\n\\nI need to inspect and possibly review model tests, though I’m not entirely sure. It seems I also need to add a dependency to package.json. Maybe I should create a config file in the home directory? There’s the option of making a new module to keep files under 500 lines since I already have a file with 376 lines. If I add a lot more, splitting might be necessary. I should also consider handling the auth token and updating the README and CHANGELOG.\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"CHANGELOG.md"},"partialJson":"{\"path\":\"CHANGELOG.md\"}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"wc -l extensions/share-redacted-gist.ts extensions/redaction.ts extensions/review-ui.ts extensions/review-model.ts","timeout":20},"partialJson":"{\"command\":\"wc -l extensions/share-redacted-gist.ts extensions/redaction.ts extensions/review-ui.ts extensions/review-model.ts\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":5947,"output":242,"cacheRead":49024,"cacheWrite":0,"totalTokens":55213,"cost":{"input":0.0148675,"output":0.00363,"cacheRead":0.012256,"cacheWrite":0,"total":0.0307535}},"stopReason":"toolUse","timestamp":1774713334074,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"437f8229","parentId":"8be83e6c","timestamp":"2026-03-28T15:55:41.712Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"# Changelog\n\n## 0.5.0 - 2026-03-28\n\n### Added\n- added a detect-secrets-inspired secret plugin pipeline for auto-redaction and review\n- added built-in secret plugins for private keys, provider tokens, bearer tokens, keyword assignments, and entropy-based opaque strings\n- added regression tests for plugin initialization and private-key redaction\n\n### Changed\n- unified auto-redaction and review-mode secret detection so both use the same plugin stack\n- expanded internal/private URL redaction to also cover `.home`, `.arpa`, and `.test`\n\n## 0.4.0 - 2026-03-28\n\n### Added\n- added a transcript-style redaction review UI focused on under-redaction\n- added manual literal and regex redaction actions with undo support\n- added review-model tests for transcript extraction and manual redaction helpers\n\n### Changed\n- replaced the raw full-session editor as the default review step with a block-based reviewer\n- kept the raw editor as an explicit escape hatch from the reviewer\n- sanitized reviewer display output to avoid TUI glitches from ANSI/control sequences\n- reduced false positives for file line references such as `README.md:32-49` and `package.json:23-38`\n\n## 0.3.0 - 2026-03-28\n\n### Added\n- added regression tests for gist submission messaging\n\n### Changed\n- show the created gist URL in the final submission message\n- use a single final notification so the gist URL does not get buried by a follow-up prompt\n- fall back more gracefully when parsing `gh gist create` output\n\n## 0.2.0 - 2026-03-28\n\n### Added\n- extracted redaction logic into `extensions/redaction.ts`\n- added `bun test` coverage for privacy redaction heuristics\n- added structured JSONL redaction with recursive string traversal\n- added heuristic detection for long random-looking opaque tokens\n- added explicit placeholders for opaque token classes:\n  - `[REDACTED_OPAQUE_BASE64]`\n  - `[REDACTED_OPAQUE_HEX]`\n  - `[REDACTED_OPAQUE]`\n- added dedicated UUID placeholder: `[REDACTED_UUID]`\n\n### Changed\n- strengthened privacy redaction for public gist publishing\n- preserved likely-safe values such as model-like slugs and git hashes in safe context\n- updated README development notes for test workflow\n"}],"isError":false,"timestamp":1774713341712}}
{"type":"message","id":"94bca316","parentId":"437f8229","timestamp":"2026-03-28T15:55:41.718Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"     405 extensions/share-redacted-gist.ts\n     132 extensions/redaction.ts\n     510 extensions/review-ui.ts\n     404 extensions/review-model.ts\n    1451 total\n"}],"isError":false,"timestamp":1774713341717}}
{"type":"message","id":"15fa65b3","parentId":"94bca316","timestamp":"2026-03-28T15:55:47.300Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering project structure**\n\nI need to consider splitting share-redacted-gist.ts since it's currently 405 lines and may exceed 500 if we add more. It seems like we should create modules for config, auth, and publishers. Next, I'll need to inspect the package manager, maybe bun? Should I install a dependency or edit package.json, but I might not want to run the install right now—perhaps I'll use \"bun add\" instead? Also, I need to check if a lockfile exists.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering project structure**\\n\\nI need to consider splitting share-redacted-gist.ts since it's currently 405 lines and may exceed 500 if we add more. It seems like we should create modules for config, auth, and publishers. Next, I'll need to inspect the package manager, maybe bun? Should I install a dependency or edit package.json, but I might not want to run the install right now—perhaps I'll use \\\"bun add\\\" instead? Also, I need to check if a lockfile exists.\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"ls -la","timeout":20},"partialJson":"{\"command\":\"ls -la\",\"timeout\":20}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"extensions/redaction.ts"},"partialJson":"{\"path\":\"extensions/redaction.ts\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":740,"output":156,"cacheRead":55040,"cacheWrite":0,"totalTokens":55936,"cost":{"input":0.00185,"output":0.00234,"cacheRead":0.01376,"cacheWrite":0,"total":0.01795}},"stopReason":"toolUse","timestamp":1774713341718,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"2187b041","parentId":"15fa65b3","timestamp":"2026-03-28T15:55:47.325Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"total 64\ndrwxr-xr-x  12 [REDACTED_USER]  staff   384 Mar 28 13:32 .\ndrwxr-xr-x   3 [REDACTED_USER]  staff    96 Mar 28 11:50 ..\ndrwxr-xr-x  14 [REDACTED_USER]  staff   448 Mar 28 16:55 .git\n-rw-r--r--   1 [REDACTED_USER]  staff    35 Mar 28 11:50 .gitignore\n-rw-r--r--   1 [REDACTED_USER]  staff    41 Mar 28 12:20 .npmignore\n-rw-r--r--   1 [REDACTED_USER]  staff    79 Mar 28 11:50 AGENTS.md\n-rw-r--r--   1 [REDACTED_USER]  staff  2171 Mar 28 13:57 CHANGELOG.md\n-rw-r--r--   1 [REDACTED_USER]  staff    23 Mar 28 11:50 CLAUDE.md\ndrwxr-xr-x  12 [REDACTED_USER]  staff   384 Mar 28 13:49 extensions\n-rw-r--r--   1 [REDACTED_USER]  staff  1070 Mar 28 11:50 LICENSE\n-rw-r--r--   1 [REDACTED_USER]  staff  1112 Mar 28 13:57 package.json\n-rw-r--r--   1 [REDACTED_USER]  staff  2140 Mar 28 13:50 README.md\n"}],"isError":false,"timestamp":1774713347324}}
{"type":"message","id":"6b91d7d7","parentId":"2187b041","timestamp":"2026-03-28T15:55:47.330Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import { scanSecrets } from \"./secret-scanner\";\n\nexport type RedactionStat = {\n\tlabel: string;\n\tcount: number;\n};\n\nexport type RedactionOptions = {\n\tcwd: string;\n\thomeDir: string;\n\tusernameCandidates: string[];\n};\n\ntype RedactionRule = {\n\tlabel: string;\n\tpattern: RegExp;\n\treplace: string;\n};\n\ntype RedactionContext = {\n\trules: RedactionRule[];\n\tstats: Map<string, number>;\n};\n\nconst UUID_RULE_PATTERN = /\\b(?:[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}|[0-9a-f]{32})\\b/gi;\n\nexport function redactSensitive(text: string, options: RedactionOptions): { text: string; stats: RedactionStat[] } {\n\tconst stats = new Map<string, number>();\n\tconst context: RedactionContext = {\n\t\trules: buildRules(options),\n\t\tstats,\n\t};\n\tconst newline = text.includes(\"\\r\\n\") ? \"\\r\\n\" : \"\\n\";\n\tconst lines = text.split(/\\r?\\n/);\n\tconst redactedText = lines.map((line) => redactLine(line, context)).join(newline);\n\treturn {\n\t\ttext: redactedText,\n\t\tstats: [...stats.entries()].map(([label, count]) => ({ label, count })),\n\t};\n}\n\nfunction redactLine(line: string, context: RedactionContext): string {\n\tif (!line.trim()) return line;\n\ttry {\n\t\tconst parsed = JSON.parse(line) as unknown;\n\t\treturn JSON.stringify(redactValue(parsed, context));\n\t} catch {\n\t\treturn redactString(line, context);\n\t}\n}\n\nfunction redactValue(value: unknown, context: RedactionContext): unknown {\n\tif (typeof value === \"string\") return redactString(value, context);\n\tif (Array.isArray(value)) return value.map((entry) => redactValue(entry, context));\n\tif (!isRecord(value)) return value;\n\treturn Object.fromEntries(Object.entries(value).map(([key, entry]) => [key, redactValue(entry, context)]));\n}\n\nfunction redactString(input: string, context: RedactionContext): string {\n\tlet output = input;\n\tfor (const rule of context.rules) {\n\t\toutput = output.replace(rule.pattern, () => {\n\t\t\tincrementStat(context.stats, rule.label);\n\t\t\treturn rule.replace;\n\t\t});\n\t}\n\treturn redactSecrets(output, context);\n}\n\nfunction redactSecrets(input: string, context: RedactionContext): string {\n\tconst findings = scanSecrets(input);\n\tif (findings.length === 0) return input;\n\n\tlet output = input;\n\tfor (const finding of [...findings].sort((a, b) => b.start - a.start || b.score - a.score)) {\n\t\tincrementStat(context.stats, finding.secretType);\n\t\toutput = `${output.slice(0, finding.start)}${finding.placeholder}${output.slice(finding.end)}`;\n\t}\n\treturn output;\n}\n\nfunction buildRules(options: RedactionOptions): RedactionRule[] {\n\tconst rules: RedactionRule[] = [\n\t\t{ label: \"email\", pattern: /\\b[A-Z0-9._%+-]+@[A-Z0-9.-]+\\.[A-Z]{2,}\\b/gi, replace: \"[REDACTED_EMAIL]\" },\n\t\t{\n\t\t\tlabel: \"phone\",\n\t\t\tpattern: /\\b(?:\\+\\d{1,3}[\\s-]?)?(?:\\(\\d{2,4}\\)|\\d{2,4})[\\s-]\\d{3,4}[\\s-]\\d{3,4}\\b/g,\n\t\t\treplace: \"[REDACTED_PHONE]\",\n\t\t},\n\t\t{\n\t\t\tlabel: \"ipv4\",\n\t\t\tpattern: /\\b(?:25[0-5]|2[0-4]\\d|1?\\d?\\d)(?:\\.(?:25[0-5]|2[0-4]\\d|1?\\d?\\d)){3}\\b/g,\n\t\t\treplace: \"[REDACTED_IP]\",\n\t\t},\n\t\t{ label: \"uuid\", pattern: UUID_RULE_PATTERN, replace: \"[REDACTED_UUID]\" },\n\t\t{ label: \"home_path\", pattern: /\\/home\\/[^/\\s]+\\//g, replace: \"/home/[REDACTED_USER]/\" },\n\t\t{ label: \"windows_path\", pattern: /[A-Za-z]:\\\\Users\\\\[^\\\\\\s]+\\\\/g, replace: \"C:\\\\Users\\\\[REDACTED_USER]\\\\\" },\n\t\t{ label: \"private_url\", pattern: /https?:\\/\\/[^\\s\"']+\\.(?:local|internal|lan|home|arpa|test)\\b/gi, replace: \"[REDACTED_PRIVATE_URL]\" },\n\t];\n\n\tif (options.cwd.trim()) {\n\t\trules.push({ label: \"cwd\", pattern: new RegExp(escapeRegExp(options.cwd), \"g\"), replace: \"[REDACTED_CWD]\" });\n\t}\n\tif (options.homeDir.trim()) {\n\t\trules.push({\n\t\t\tlabel: \"home_dir\",\n\t\t\tpattern: new RegExp(escapeRegExp(options.homeDir), \"g\"),\n\t\t\treplace: \"[REDACTED_HOME_DIR]\",\n\t\t});\n\t}\n\tfor (const username of options.usernameCandidates) {\n\t\tif (username.length < 3) continue;\n\t\trules.push({\n\t\t\tlabel: \"username\",\n\t\t\tpattern: new RegExp(`\\\\b${escapeRegExp(username)}\\\\b`, \"g\"),\n\t\t\treplace: \"[REDACTED_USER]\",\n\t\t});\n\t}\n\treturn rules;\n}\n\nfunction incrementStat(stats: Map<string, number>, label: string): void {\n\tstats.set(label, (stats.get(label) ?? 0) + 1);\n}\n\nfunction isRecord(value: unknown): value is Record<string, unknown> {\n\treturn typeof value === \"object\" && value !== null;\n}\n\nfunction escapeRegExp(value: string): string {\n\treturn value.replace(/[.*+?^${}()|[\\]\\\\]/g, \"\\\\$&\");\n}\n"}],"isError":false,"timestamp":1774713347325}}
{"type":"message","id":"4f04f674","parentId":"6b91d7d7","timestamp":"2026-03-28T15:56:14.914Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Evaluating dependencies and configuration**\n\nI’m noticing there’s no lockfile, so I might need to add a dependency and potentially create a bun.lock file. I could consider using npm too. A quick health check could be done with something like `npm view @huggingface/hub version time.modified repository.url`. I also need to check type definitions for the ExtensionAPI, and it might be necessary to create a config file under the home directory. There’s a mention of allowing the user to select from preconfigured datasets.\n\n**Considering publisher configurations**\n\nIt seems I need to think about a config file that manages both gist and potential publishers. I could keep the default behavior for gists while allowing the user to select from a list of enabled publishers each time they push. This means I should consider how to preserve the existing gist functionality unless provided with a publisher config. If users want to upload to Hugging Face too, I’ll need to make that selection available with the config file during each push.\n\n**Designing the config shape**\n\nI’m thinking about the structure of the config file to include publishers like gist and Hugging Face. For gist, I could just enable it without extra descriptions. For Hugging Face, I might include options like enabled status, datasets, and whether to create datasets. Each push should allow selection from a preconfigured list of datasets. A simpler format might be a list of publishers with their types and options, making it flexible for commands to select targets or use flags.\n\n**Simplifying command structure**\n\nIt seems like I should keep things simple and clear. I’m considering support for CLI flags like `--publisher` for options such as gist, huggingface, or both, and an option for `--dataset repo`. \n\nThe user asked for a config file with publishers, which is great! I think I could set defaults and prompt users for selection if multiple publishers are enabled. If there's no UI, I'll default to the enabled option, like gist if it's on. Implementing reading from the auth.json file makes sense too.\n\n**Resolving auth configurations**\n\nI need to consider supporting the three formats for the key field in auth.json: shell command, environment variable, and literal values. This seems important, as users might have configured huggingface with any of those methods. \n\nTo help with this, I think implementing a small resolution helper could be beneficial. I’ll need to parse the structure of auth.json, checking if it contains specific types like an API key for huggingface. If the key is a string, I should execute shell commands or match environment variable names as indicated by the docs.\n\n**Determining environment variable versus literal**\n\nI'm thinking about how to distinguish between environment variables and literal values. It seems like at runtime, if an exact environment variable exists, it should prioritize that over a literal. I can mimic this by executing a shell command if the key starts with \"!\" and checking if `process.env[key]` exists for potential matches. However, there's a chance a literal token may not have a corresponding environment variable, which could lead to incorrect usage if the user misconfigured things. That’s a bit tricky!\n\n**Evaluating error handling**\n\nI'm considering how to handle errors. I can inspect the source or parse the error message. Maybe implementing a helper function called `isRepoMissing` could help check for a 404 status if the object has a status code. I should also inspect the different types of errors. This might involve searching in huggingface.js to clarify what types of errors I might encounter. Let's see how that goes!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating dependencies and configuration**\\n\\nI’m noticing there’s no lockfile, so I might need to add a dependency and potentially create a bun.lock file. I could consider using npm too. A quick health check could be done with something like `npm view @huggingface/hub version time.modified repository.url`. I also need to check type definitions for the ExtensionAPI, and it might be necessary to create a config file under the home directory. There’s a mention of allowing the user to select from preconfigured datasets.\"},{\"type\":\"summary_text\",\"text\":\"**Considering publisher configurations**\\n\\nIt seems I need to think about a config file that manages both gist and potential publishers. I could keep the default behavior for gists while allowing the user to select from a list of enabled publishers each time they push. This means I should consider how to preserve the existing gist functionality unless provided with a publisher config. If users want to upload to Hugging Face too, I’ll need to make that selection available with the config file during each push.\"},{\"type\":\"summary_text\",\"text\":\"**Designing the config shape**\\n\\nI’m thinking about the structure of the config file to include publishers like gist and Hugging Face. For gist, I could just enable it without extra descriptions. For Hugging Face, I might include options like enabled status, datasets, and whether to create datasets. Each push should allow selection from a preconfigured list of datasets. A simpler format might be a list of publishers with their types and options, making it flexible for commands to select targets or use flags.\"},{\"type\":\"summary_text\",\"text\":\"**Simplifying command structure**\\n\\nIt seems like I should keep things simple and clear. I’m considering support for CLI flags like `--publisher` for options such as gist, huggingface, or both, and an option for `--dataset repo`. \\n\\nThe user asked for a config file with publishers, which is great! I think I could set defaults and prompt users for selection if multiple publishers are enabled. If there's no UI, I'll default to the enabled option, like gist if it's on. Implementing reading from the auth.json file makes sense too.\"},{\"type\":\"summary_text\",\"text\":\"**Resolving auth configurations**\\n\\nI need to consider supporting the three formats for the key field in auth.json: shell command, environment variable, and literal values. This seems important, as users might have configured huggingface with any of those methods. \\n\\nTo help with this, I think implementing a small resolution helper could be beneficial. I’ll need to parse the structure of auth.json, checking if it contains specific types like an API key for huggingface. If the key is a string, I should execute shell commands or match environment variable names as indicated by the docs.\"},{\"type\":\"summary_text\",\"text\":\"**Determining environment variable versus literal**\\n\\nI'm thinking about how to distinguish between environment variables and literal values. It seems like at runtime, if an exact environment variable exists, it should prioritize that over a literal. I can mimic this by executing a shell command if the key starts with \\\"!\\\" and checking if `process.env[key]` exists for potential matches. However, there's a chance a literal token may not have a corresponding environment variable, which could lead to incorrect usage if the user misconfigured things. That’s a bit tricky!\"},{\"type\":\"summary_text\",\"text\":\"**Evaluating error handling**\\n\\nI'm considering how to handle errors. I can inspect the source or parse the error message. Maybe implementing a helper function called `isRepoMissing` could help check for a 404 status if the object has a status code. I should also inspect the different types of errors. This might involve searching in huggingface.js to clarify what types of errors I might encounter. Let's see how that goes!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"npm view @huggingface/hub version time.modified repository.url --json","timeout":20},"partialJson":"{\"command\":\"npm view @huggingface/hub version time.modified repository.url --json\",\"timeout\":20}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"rg -n \"class ApiError|createApiError|statusCode\" /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src -S","timeout":20},"partialJson":"{\"command\":\"rg -n \\\"class ApiError|createApiError|statusCode\\\" /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src -S\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1749,"output":1424,"cacheRead":55808,"cacheWrite":0,"totalTokens":58981,"cost":{"input":0.0043725000000000005,"output":0.02136,"cacheRead":0.013951999999999999,"cacheWrite":0,"total":0.0396845}},"stopReason":"toolUse","timestamp":1774713347331,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"91e97895","parentId":"4f04f674","timestamp":"2026-03-28T15:56:16.095Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"{\n  \"version\": \"2.11.0\",\n  \"time.modified\": \"2026-03-11T10:30:57.550Z\",\n  \"repository.url\": \"git+https://github.com/huggingface/huggingface.js.git\"\n}\n"}],"isError":false,"timestamp":1774713376095}}
{"type":"message","id":"39ac903e","parentId":"91e97895","timestamp":"2026-03-28T15:56:16.096Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/create-repo.ts:2:import { createApiError } from \"../error\";\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/create-repo.ts:98:\t\tthrow await createApiError(res);\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:2:import { HubApiError, createApiError, InvalidApiResponseFormatError } from \"../error\";\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:276:\t\t\t\tthrow await createApiError(res);\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:351:\t\t\t\tthrow await createApiError(res);\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:537:\t\t\t\t\t\t\t\t\t\t\tthrow await createApiError(res, {\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:569:\t\t\t\t\t\t\t\t\tthrow await createApiError(res, {\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:608:\t\t\t\t\t\t\t\t\tthrow await createApiError(res, {\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:700:\t\t\t\t\t\t\tthrow await createApiError(res);\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:864:\t\t\t\tthrow await createApiError(resp);\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts:905:\t\t\t\tthrow await createApiError(resp);\n"}],"isError":false,"timestamp":1774713376095}}
{"type":"message","id":"795dec13","parentId":"39ac903e","timestamp":"2026-03-28T15:56:22.436Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/error.ts","offset":1,"limit":180},"partialJson":"{\"path\":\"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/error.ts\",\"offset\":1,\"limit\":180}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"bun --version","timeout":20},"partialJson":"{\"command\":\"bun --version\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":616,"output":86,"cacheRead":58880,"cacheWrite":0,"totalTokens":59582,"cost":{"input":0.0015400000000000001,"output":0.0012900000000000001,"cacheRead":0.014719999999999999,"cacheWrite":0,"total":0.01755}},"stopReason":"toolUse","timestamp":1774713376096,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"3dd51ce2","parentId":"795dec13","timestamp":"2026-03-28T15:56:22.442Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"ENOENT: no such file or directory, access '/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/error.ts'"}],"details":{},"isError":true,"timestamp":1774713382442}}
{"type":"message","id":"31f5e600","parentId":"3dd51ce2","timestamp":"2026-03-28T15:56:22.482Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"1.3.6\n"}],"isError":false,"timestamp":1774713382481}}
{"type":"message","id":"16b19c4e","parentId":"31f5e600","timestamp":"2026-03-28T15:56:26.062Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Locating error file**\n\nI need to find the error file, so I think using `rg` (which I presume stands for a search command) might be a good idea. I’m considering searching in the `packages/hub/src/lib` directory. It seems like a reasonable place to start, but I'll need to make sure I'm using the command properly to locate the specific file I need. Let's see what I can uncover!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Locating error file**\\n\\nI need to find the error file, so I think using `rg` (which I presume stands for a search command) might be a good idea. I’m considering searching in the `packages/hub/src/lib` directory. It seems like a reasonable place to start, but I'll need to make sure I'm using the command properly to locate the specific file I need. Let's see what I can uncover!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"fd error.ts /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub -t f","timeout":20},"partialJson":"{\"command\":\"fd error.ts /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub -t f\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":252,"output":73,"cacheRead":59392,"cacheWrite":0,"totalTokens":59717,"cost":{"input":0.00063,"output":0.001095,"cacheRead":0.014848,"cacheWrite":0,"total":0.016573}},"stopReason":"toolUse","timestamp":1774713382482,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"6b4b20b0","parentId":"16b19c4e","timestamp":"2026-03-28T15:56:26.081Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774713386080}}
{"type":"message","id":"0092477e","parentId":"6b4b20b0","timestamp":"2026-03-28T15:56:28.822Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"fd error /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src -t f","timeout":20},"partialJson":"{\"command\":\"fd error /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src -t f\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":211,"output":67,"cacheRead":59520,"cacheWrite":0,"totalTokens":59798,"cost":{"input":0.0005275000000000001,"output":0.001005,"cacheRead":0.014879999999999999,"cacheWrite":0,"total":0.0164125}},"stopReason":"toolUse","timestamp":1774713386081,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"00dc3076","parentId":"0092477e","timestamp":"2026-03-28T15:56:28.851Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1774713388850}}
{"type":"message","id":"aefc1cc7","parentId":"00dc3076","timestamp":"2026-03-28T15:56:32.852Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting file paths**\n\nI might need to check for errors in the packages or tasks. I'll inspect the file path to see if the import \"../error\" is resolving correctly to the package root, which is src/error.ts. It seems like I should also focus on the specific hub in the packages. I'll go ahead and look into that to figure out if anything isn't lining up as it should!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting file paths**\\n\\nI might need to check for errors in the packages or tasks. I'll inspect the file path to see if the import \\\"../error\\\" is resolving correctly to the package root, which is src/error.ts. It seems like I should also focus on the specific hub in the packages. I'll go ahead and look into that to figure out if anything isn't lining up as it should!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"fd . /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src -d 2","timeout":20},"partialJson":"{\"command\":\"fd . /tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src -d 2\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":164,"output":87,"cacheRead":59648,"cacheWrite":0,"totalTokens":59899,"cost":{"input":0.00041000000000000005,"output":0.001305,"cacheRead":0.014912,"cacheWrite":0,"total":0.016627}},"stopReason":"toolUse","timestamp":1774713388852,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"b7eba0d4","parentId":"aefc1cc7","timestamp":"2026-03-28T15:56:32.869Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/commit.ts\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/create-repo.ts\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/upload-file.ts\n/tmp/pi-librarian/run-prGaZh/repos/huggingface/huggingface.js/packages/hub/src/lib/upload-files.ts\n"}],"isError":false,"timestamp":1774713392868}}
{"type":"message","id":"b202cdf5","parentId":"b7eba0d4","timestamp":"2026-03-28T15:56:38.779Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering library dependencies**\n\nI’m working on a librarian fetch — I could use an npm package once it’s installed to help with inspecting types. Maybe I don’t really need it right now, though. It seems I should install the dependency first before trying to inspect. I’m wondering if I should use `bun add`. Before making any risky changes, I think I should tag this with `context_tag`. Let’s make sure I have everything lined up properly!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering library dependencies**\\n\\nI’m working on a librarian fetch — I could use an npm package once it’s installed to help with inspecting types. Maybe I don’t really need it right now, though. It seems I should install the dependency first before trying to inspect. I’m wondering if I should use `bun add`. Before making any risky changes, I think I should tag this with `context_tag`. Let’s make sure I have everything lined up properly!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","name":"context_tag","arguments":{"name":"before-hf-publisher"},"partialJson":"{\"name\":\"before-hf-publisher\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":272,"output":71,"cacheRead":59776,"cacheWrite":0,"totalTokens":60119,"cost":{"input":0.00068,"output":0.001065,"cacheRead":0.014943999999999999,"cacheWrite":0,"total":0.016689}},"stopReason":"toolUse","timestamp":1774713392869,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"label","id":"a0ca9c54","parentId":"b202cdf5","timestamp":"2026-03-28T15:56:38.785Z","targetId":"b202cdf5","label":"before-hf-publisher"}
{"type":"message","id":"95bbf7a5","parentId":"a0ca9c54","timestamp":"2026-03-28T15:56:38.788Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","toolName":"context_tag","content":[{"type":"text","text":"Created tag 'before-hf-publisher' at b202cdf5"}],"details":{},"isError":false,"timestamp":1774713398786}}
{"type":"message","id":"c4797cfc","parentId":"95bbf7a5","timestamp":"2026-03-28T15:56:47.331Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Exploring API paths**\n\nI need to find the API names and import paths for @huggingface/hub. To do this, I can check the README file and the package types after installation. Since I'm using bun, I’ll use \"bun add\" to add the dependency. It’s important to make sure everything is set up correctly, so I’m looking forward to diving into those details! I'll confirm the setup after I install it.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Exploring API paths**\\n\\nI need to find the API names and import paths for @huggingface/hub. To do this, I can check the README file and the package types after installation. Since I'm using bun, I’ll use \\\"bun add\\\" to add the dependency. It’s important to make sure everything is set up correctly, so I’m looking forward to diving into those details! I'll confirm the setup after I install it.\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"bun add @huggingface/hub","timeout":120},"partialJson":"{\"command\":\"bun add @huggingface/hub\",\"timeout\":120}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":112,"output":282,"cacheRead":60032,"cacheWrite":0,"totalTokens":60426,"cost":{"input":0.00028000000000000003,"output":0.00423,"cacheRead":0.015007999999999999,"cacheWrite":0,"total":0.019518}},"stopReason":"toolUse","timestamp":1774713398789,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"c8836cc2","parentId":"c4797cfc","timestamp":"2026-03-28T15:56:51.880Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"bun add v1.3.6 (d530ed99)\nResolving dependencies\nResolved, downloaded and extracted [1011]\nSaved lockfile\n\n+ @mariozechner/pi-coding-agent@0.63.1\n\ninstalled @huggingface/hub@2.11.0 with binaries:\n - hfjs\n\n254 packages installed [4.52s]\n\nBlocked 2 postinstalls. Run `bun pm untrusted` for details.\n"}],"isError":false,"timestamp":1774713411880}}
{"type":"message","id":"e1ae2053","parentId":"c8836cc2","timestamp":"2026-03-28T15:56:56.633Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting package files**\n\nI'm thinking I should check the package files next. I guess my first step should be to run a `git status` command to see the current state of my repository. This way, I'll get a clear picture of any changes or files that need my attention. It’s a good way to make sure I’m not missing anything important before I dive into the package details. Let's start there!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting package files**\\n\\nI'm thinking I should check the package files next. I guess my first step should be to run a `git status` command to see the current state of my repository. This way, I'll get a clear picture of any changes or files that need my attention. It’s a good way to make sure I’m not missing anything important before I dive into the package details. Let's start there!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"git status --short && echo '---' && fd . node_modules/@huggingface/hub/src/lib -d 2","timeout":20},"partialJson":"{\"command\":\"git status --short && echo '---' && fd . node_modules/@huggingface/hub/src/lib -d 2\",\"timeout\":20}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"node_modules/@huggingface/hub/README.md","offset":1,"limit":220},"partialJson":"{\"path\":\"node_modules/@huggingface/hub/README.md\",\"offset\":1,\"limit\":220}"},{"type":"toolCall","id":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"node_modules/@huggingface/hub/package.json","offset":1,"limit":220},"partialJson":"{\"path\":\"node_modules/@huggingface/hub/package.json\",\"offset\":1,\"limit\":220}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":243,"output":141,"cacheRead":60288,"cacheWrite":0,"totalTokens":60672,"cost":{"input":0.0006075000000000001,"output":0.002115,"cacheRead":0.015071999999999999,"cacheWrite":0,"total":0.017794499999999998}},"stopReason":"toolUse","timestamp":1774713411881,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"e59935b7","parentId":"e1ae2053","timestamp":"2026-03-28T15:56:56.689Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":" M package.json\n?? bun.lock\n---\nnode_modules/@huggingface/hub/src/lib/add-collection-item.spec.ts\nnode_modules/@huggingface/hub/src/lib/add-collection-item.ts\nnode_modules/@huggingface/hub/src/lib/cache-management.spec.ts\nnode_modules/@huggingface/hub/src/lib/cache-management.ts\nnode_modules/@huggingface/hub/src/lib/check-repo-access.spec.ts\nnode_modules/@huggingface/hub/src/lib/check-repo-access.ts\nnode_modules/@huggingface/hub/src/lib/collection-info.spec.ts\nnode_modules/@huggingface/hub/src/lib/collection-info.ts\nnode_modules/@huggingface/hub/src/lib/commit.spec.ts\nnode_modules/@huggingface/hub/src/lib/commit.ts\nnode_modules/@huggingface/hub/src/lib/count-commits.spec.ts\nnode_modules/@huggingface/hub/src/lib/count-commits.ts\nnode_modules/@huggingface/hub/src/lib/create-branch.spec.ts\nnode_modules/@huggingface/hub/src/lib/create-branch.ts\nnode_modules/@huggingface/hub/src/lib/create-collection.spec.ts\nnode_modules/@huggingface/hub/src/lib/create-collection.ts\nnode_modules/@huggingface/hub/src/lib/create-repo.spec.ts\nnode_modules/@huggingface/hub/src/lib/create-repo.ts\nnode_modules/@huggingface/hub/src/lib/dataset-info.spec.ts\nnode_modules/@huggingface/hub/src/lib/dataset-info.ts\nnode_modules/@huggingface/hub/src/lib/delete-branch.spec.ts\nnode_modules/@huggingface/hub/src/lib/delete-branch.ts\nnode_modules/@huggingface/hub/src/lib/delete-collection-item.ts\nnode_modules/@huggingface/hub/src/lib/delete-collection.ts\nnode_modules/@huggingface/hub/src/lib/delete-file.spec.ts\nnode_modules/@huggingface/hub/src/lib/delete-file.ts\nnode_modules/@huggingface/hub/src/lib/delete-files.spec.ts\nnode_modules/@huggingface/hub/src/lib/delete-files.ts\nnode_modules/@huggingface/hub/src/lib/delete-repo.ts\nnode_modules/@huggingface/hub/src/lib/download-file-to-cache-dir.spec.ts\nnode_modules/@huggingface/hub/src/lib/download-file-to-cache-dir.ts\nnode_modules/@huggingface/hub/src/lib/download-file.spec.ts\nnode_modules/@huggingface/hub/src/lib/download-file.ts\nnode_modules/@huggingface/hub/src/lib/file-download-info.spec.ts\nnode_modules/@huggingface/hub/src/lib/file-download-info.ts\nnode_modules/@huggingface/hub/src/lib/file-exists.spec.ts\nnode_modules/@huggingface/hub/src/lib/file-exists.ts\nnode_modules/@huggingface/hub/src/lib/index.ts\nnode_modules/@huggingface/hub/src/lib/jobs/\nnode_modules/@huggingface/hub/src/lib/jobs/cancel-job.ts\nnode_modules/@huggingface/hub/src/lib/jobs/create-scheduled-job.ts\nnode_modules/@huggingface/hub/src/lib/jobs/delete-scheduled-job.ts\nnode_modules/@huggingface/hub/src/lib/jobs/duplicate-job.ts\nnode_modules/@huggingface/hub/src/lib/jobs/get-job.ts\nnode_modules/@huggingface/hub/src/lib/jobs/get-scheduled-job.ts\nnode_modules/@huggingface/hub/src/lib/jobs/index.ts\nnode_modules/@huggingface/hub/src/lib/jobs/list-job-hardware.ts\nnode_modules/@huggingface/hub/src/lib/jobs/list-jobs.ts\nnode_modules/@huggingface/hub/src/lib/jobs/list-scheduled-jobs.ts\nnode_modules/@huggingface/hub/src/lib/jobs/resume-scheduled-job.ts\nnode_modules/@huggingface/hub/src/lib/jobs/run-job.ts\nnode_modules/@huggingface/hub/src/lib/jobs/run-scheduled-job.ts\nnode_modules/@huggingface/hub/src/lib/jobs/stream-job-events.ts\nnode_modules/@huggingface/hub/src/lib/jobs/stream-job-logs.ts\nnode_modules/@huggingface/hub/src/lib/jobs/stream-job-metrics.ts\nnode_modules/@huggingface/hub/src/lib/jobs/suspend-scheduled-job.ts\nnode_modules/@huggingface/hub/src/lib/list-collections.spec.ts\nnode_modules/@huggingface/hub/src/lib/list-collections.ts\nnode_modules/@huggingface/hub/src/lib/list-commits.spec.ts\nnode_modules/@huggingface/hub/src/lib/list-commits.ts\nnode_modules/@huggingface/hub/src/lib/list-datasets.spec.ts\nnode_modules/@huggingface/hub/src/lib/list-datasets.ts\nnode_modules/@huggingface/hub/src/lib/list-files.spec.ts\nnode_modules/@huggingface/hub/src/lib/list-files.ts\nnode_modules/@huggingface/hub/src/lib/list-models.spec.ts\nnode_modules/@huggingface/hub/src/lib/list-models.ts\nnode_modules/@huggingface/hub/src/lib/list-spaces.spec.ts\nnode_modules/@huggingface/hub/src/lib/list-spaces.ts\nnode_modules/@huggingface/hub/src/lib/model-info.spec.ts\nnode_modules/@huggingface/hub/src/lib/model-info.ts\nnode_modules/@huggingface/hub/src/lib/oauth-handle-redirect.spec.ts\nnode_modules/@huggingface/hub/src/lib/oauth-handle-redirect.ts\nnode_modules/@huggingface/hub/src/lib/oauth-login-url.ts\nnode_modules/@huggingface/hub/src/lib/parse-safetensors-metadata.spec.ts\nnode_modules/@huggingface/hub/src/lib/parse-safetensors-metadata.ts\nnode_modules/@huggingface/hub/src/lib/paths-info.spec.ts\nnode_modules/@huggingface/hub/src/lib/paths-info.ts\nnode_modules/@huggingface/hub/src/lib/repo-exists.spec.ts\nnode_modules/@huggingface/hub/src/lib/repo-exists.ts\nnode_modules/@huggingface/hub/src/lib/snapshot-download.spec.ts\nnode_modules/@huggingface/hub/src/lib/snapshot-download.ts\nnode_modules/@huggingface/hub/src/lib/space-info.spec.ts\nnode_modules/@huggingface/hub/src/lib/space-info.ts\nnode_modules/@huggingface/hub/src/lib/upload-file.spec.ts\nnode_modules/@huggingface/hub/src/lib/upload-file.ts\nnode_modules/@huggingface/hub/src/lib/upload-files-with-progress.spec.ts\nnode_modules/@huggingface/hub/src/lib/upload-files-with-progress.ts\nnode_modules/@huggingface/hub/src/lib/upload-files.fs.spec.ts\nnode_modules/@huggingface/hub/src/lib/upload-files.spec.ts\nnode_modules/@huggingface/hub/src/lib/upload-files.ts\nnode_modules/@huggingface/hub/src/lib/who-am-i.spec.ts\nnode_modules/@huggingface/hub/src/lib/who-am-i.ts\n"}],"isError":false,"timestamp":1774713416689}}
{"type":"message","id":"f2185b4d","parentId":"e59935b7","timestamp":"2026-03-28T15:56:56.691Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"# 🤗 Hugging Face Hub API\n\nOfficial utilities to use the Hugging Face Hub API.\n\n## Install\n\n```console\npnpm add @huggingface/hub\n\nnpm add @huggingface/hub\n\nyarn add @huggingface/hub\n```\n\n### Deno\n\n```ts\n// esm.sh\nimport { uploadFiles, listModels } from \"https://esm.sh/@huggingface/hub\"\n// or npm:\nimport { uploadFiles, listModels } from \"npm:@huggingface/hub\"\n```\n\nCheck out the [full documentation](https://huggingface.co/docs/huggingface.js/hub/README).\n\n## Usage\n\nFor some of the calls, you need to create an account and generate an [access token](https://huggingface.co/settings/tokens).\n\nLearn how to find free models using the hub package in this [interactive tutorial](https://scrimba.com/scrim/c7BbVPcd?pl=pkVnrP7uP).\n\n```ts\nimport * as hub from \"@huggingface/hub\";\nimport type { RepoDesignation } from \"@huggingface/hub\";\n\nconst repo: RepoDesignation = { type: \"model\", name: \"myname/some-model\" };\n\nconst {name: username} = await hub.whoAmI({accessToken: \"[REDACTED_SECRET]\"});\n\nfor await (const model of hub.listModels({search: {owner: username}, accessToken: \"[REDACTED_SECRET]\"})) {\n  console.log(\"My model:\", model);\n}\n\nconst specificModel = await hub.modelInfo({name: \"openai-community/gpt2\"});\nawait hub.checkRepoAccess({repo, accessToken: \"[REDACTED_SECRET]\"});\n\nawait hub.createRepo({ repo, accessToken: \"[REDACTED_SECRET]\", license: \"mit\" });\n\nawait hub.uploadFiles({\n  repo,\n  accessToken: \"[REDACTED_SECRET]\",\n  files: [\n    // path + blob content\n    {\n      path: \"file.txt\",\n      content: new Blob([\"Hello World\"]),\n    },\n    // Local file URL\n    pathToFileURL(\"./pytorch-model.bin\"),\n    // Local folder URL\n    pathToFileURL(\"./models\"),\n    // Web URL\n    new URL(\"https://huggingface.co/xlm-roberta-base/resolve/main/tokenizer.json\"),\n    // Path + Web URL\n    {\n      path: \"myfile.bin\",\n      content: new URL(\"https://huggingface.co/bert-base-uncased/resolve/main/pytorch_model.bin\")\n    }\n    // Can also work with native File in browsers\n  ],\n});\n\n// or\n\nfor await (const progressEvent of await hub.uploadFilesWithProgress({\n  repo,\n  accessToken: \"[REDACTED_SECRET]\",\n  files: [\n    ...\n  ],\n})) {\n  console.log(progressEvent);\n}\n\n// Edit a file by adding prefix & suffix\nawait commit({\n  repo,\n  accessToken: \"[REDACTED_SECRET]\",\n  operations: [{\n    type: \"edit\",\n    originalContent: originalFile,\n    edits: [{\n      start: 0,\n      end: 0,\n      content: new Blob([\"prefix\"])\n    }, {\n      start: originalFile.length,\n      end: originalFile.length,\n      content: new Blob([\"suffix\"])\n    }]\n  }]\n})\n\nawait hub.deleteFile({repo, accessToken: \"[REDACTED_SECRET]\", path: \"myfile.bin\"});\n\nawait (await hub.downloadFile({ repo, path: \"README.md\" })).text();\n\nfor await (const fileInfo of hub.listFiles({repo})) {\n  console.log(fileInfo);\n}\n\nawait hub.deleteRepo({ repo, accessToken: \"[REDACTED_SECRET]\" });\n```\n\n## CLI usage\n\nYou can use `@huggingface/hub` in CLI mode to upload files and folders to your repo. \n\n```console\nnpx @huggingface/hub upload coyotte508/test-model .\nnpx @huggingface/hub upload datasets/coyotte508/test-dataset .\n# Same thing\nnpx @huggingface/hub upload --repo-type dataset coyotte508/test-dataset .\n# Upload new data with 0 history in a separate branch\nnpx @huggingface/hub branch create coyotte508/test-model release --empty\nnpx @huggingface/hub upload coyotte508/test-model . --revision release\n\nnpx @huggingface/hub --help\nnpx @huggingface/hub upload --help\n```\n\nYou can also install globally with `npm install -g @huggingface/hub`. Then you can do:\n\n```console\nhfjs upload coyotte508/test-model .\n\nhfjs branch create --repo-type dataset coyotte508/test-dataset release --empty\nhfjs upload --repo-type dataset coyotte508/test-dataset . --revision release\n\nhfjs --help\nhfjs  upload --help\n\nhfjs help jobs\n```\n\n## OAuth Login\n\nIt's possible to login using OAuth ([\"Sign in with HF\"](https://huggingface.co/docs/hub/oauth)).\n\nThis will allow you get an access token to use some of the API, depending on the scopes set inside the Space or the OAuth App.\n\n```ts\nimport { oauthLoginUrl, oauthHandleRedirectIfPresent } from \"@huggingface/hub\";\n\nconst oauthResult = await oauthHandleRedirectIfPresent();\n\nif (!oauthResult) {\n  // If the user is not logged in, redirect to the login page\n  window.location.href = await oauthLoginUrl();\n}\n\n// You can use oauthResult.accessToken, oauthResult.accessTokenExpiresAt and oauthResult.userInfo\nconsole.log(oauthResult);\n```\n\nCheckout the demo: https://huggingface.co/spaces/huggingfacejs/client-side-oauth\n\n## Hugging face cache\n\nThe `@huggingface/hub` package provide basic capabilities to scan the cache directory. Learn more about [Manage huggingface_hub cache-system](https://huggingface.co/docs/huggingface_hub/en/guides/manage-cache).\n\n### `scanCacheDir`\n\nYou can get the list of cached repositories using the `scanCacheDir` function.\n\n```ts\nimport { scanCacheDir } from \"@huggingface/hub\";\n\nconst result = await scanCacheDir();\n\nconsole.log(result);\n```\nNote: this does not work in the browser\n\n### `downloadFileToCacheDir`\n\nYou can cache a file of a repository using the `downloadFileToCacheDir` function.\n\n```ts\nimport { downloadFileToCacheDir } from \"@huggingface/hub\";\n\nconst file = await downloadFileToCacheDir({\n  repo: 'foo/bar',\n  path: 'README.md'\n});\n\nconsole.log(file);\n```\nNote: this does not work in the browser\n\n### `snapshotDownload`\n\nYou can download an entire repository at a given revision in the cache directory using the `snapshotDownload` function.\n\n```ts\nimport { snapshotDownload } from \"@huggingface/hub\";\n\nconst directory = await snapshotDownload({\n  repo: 'foo/bar',\n});\n\nconsole.log(directory);\n```\nThe code use internally the `downloadFileToCacheDir` function.\n\nNote: this does not work in the browser\n\n## Performance considerations\n\nWhen uploading large files, you may want to run the `commit` calls inside a worker, to offload the sha256 computations.\n\n[9 more lines in file. Use offset=221 to continue.]"}],"isError":false,"timestamp":1774713416689}}
{"type":"message","id":"fafbfb1f","parentId":"f2185b4d","timestamp":"2026-03-28T15:56:56.694Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"{\n  \"name\": \"@huggingface/hub\",\n  \"version\": \"2.11.0\",\n  \"description\": \"Utilities to interact with the Hugging Face hub\",\n  \"keywords\": [\n    \"api\",\n    \"client\",\n    \"face\",\n    \"hub\",\n    \"hugging\",\n    \"huggingface\"\n  ],\n  \"license\": \"MIT\",\n  \"author\": \"Hugging Face\",\n  \"repository\": \"https://github.com/huggingface/huggingface.js.git\",\n  \"bin\": {\n    \"hfjs\": \"./dist/cli.js\"\n  },\n  \"source\": \"index.ts\",\n  \"files\": [\n    \"dist\",\n    \"index.ts\",\n    \"src\",\n    \"tsconfig.json\"\n  ],\n  \"main\": \"./dist/index.js\",\n  \"module\": \"./dist/index.mjs\",\n  \"browser\": {\n    \"./src/utils/sha256-node.ts\": false,\n    \"./src/utils/sub-paths.ts\": false,\n    \"./src/utils/FileBlob.ts\": false,\n    \"./src/lib/cache-management.ts\": false,\n    \"./src/lib/download-file-to-cache-dir.ts\": false,\n    \"./src/lib/snapshot-download.ts\": false,\n    \"./dist/index.js\": \"./dist/browser/index.js\",\n    \"./dist/index.mjs\": \"./dist/browser/index.mjs\"\n  },\n  \"types\": \"./dist/index.d.ts\",\n  \"exports\": {\n    \".\": {\n      \"types\": \"./dist/index.d.ts\",\n      \"require\": \"./dist/index.js\",\n      \"import\": \"./dist/index.mjs\"\n    }\n  },\n  \"publishConfig\": {\n    \"access\": \"public\"\n  },\n  \"dependencies\": {\n    \"@huggingface/tasks\": \"^0.19.90\"\n  },\n  \"devDependencies\": {\n    \"@types/cli-progress\": \"^3.11.6\"\n  },\n  \"optionalDependencies\": {\n    \"cli-progress\": \"^3.12.0\"\n  },\n  \"engines\": {\n    \"node\": \">=18\"\n  },\n  \"scripts\": {\n    \"lint\": \"eslint --quiet --fix --ext .cjs,.ts .\",\n    \"lint:check\": \"eslint --ext .cjs,.ts .\",\n    \"format\": \"oxfmt .\",\n    \"format:check\": \"oxfmt --check .\",\n    \"build\": \"tsup && tsc [REDACTED_OPAQUE] --declaration\",\n    \"test\": \"vitest run\",\n    \"test:browser\": \"vitest run --browser.name=chrome --browser.headless --config vitest-browser.config.mts\",\n    \"check\": \"tsc\",\n    \"build:xet-wasm\": \"./scripts/build-xet-wasm.sh -t bundler --clean\",\n    \"bench\": \"tsx scripts/bench.ts\",\n    \"debug-xet\": \"tsx scripts/debug-xet.ts\"\n  }\n}"}],"isError":false,"timestamp":1774713416691}}
{"type":"message","id":"f35a8cf4","parentId":"fafbfb1f","timestamp":"2026-03-28T15:57:01.230Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting upload procedures**\n\nI think I need to look into the uploadFiles signature and check if the repoExists, as well as the repoAccess. It's important to make sure everything works smoothly for the user when they need to upload files. I want to get this right because any hiccup could lead to misunderstandings or errors. So, it’s a matter of double-checking those signatures and access rights to ensure the process is seamless!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting upload procedures**\\n\\nI think I need to look into the uploadFiles signature and check if the repoExists, as well as the repoAccess. It's important to make sure everything works smoothly for the user when they need to upload files. I want to get this right because any hiccup could lead to misunderstandings or errors. So, it’s a matter of double-checking those signatures and access rights to ensure the process is seamless!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"node_modules/@huggingface/hub/src/lib/upload-files.ts","offset":1,"limit":140},"partialJson":"{\"path\":\"node_modules/@huggingface/hub/src/lib/upload-files.ts\",\"offset\":1,\"limit\":140}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"node_modules/@huggingface/hub/src/lib/repo-exists.ts","offset":1,"limit":120},"partialJson":"{\"path\":\"node_modules/@huggingface/hub/src/lib/repo-exists.ts\",\"offset\":1,\"limit\":120}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"node_modules/@huggingface/hub/src/lib/check-repo-access.ts","offset":1,"limit":120},"partialJson":"{\"path\":\"node_modules/@huggingface/hub/src/lib/check-repo-access.ts\",\"offset\":1,\"limit\":120}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":3741,"output":142,"cacheRead":60544,"cacheWrite":0,"totalTokens":64427,"cost":{"input":0.009352500000000001,"output":0.00213,"cacheRead":0.015136,"cacheWrite":0,"total":0.026618500000000003}},"stopReason":"toolUse","timestamp":1774713416692,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"ab603331","parentId":"f35a8cf4","timestamp":"2026-03-28T15:57:01.234Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import type { CredentialsParams } from \"../types/public\";\nimport type { CommitOutput, CommitParams, ContentSource } from \"./commit\";\nimport { commit } from \"./commit\";\n\nexport function uploadFiles(\n\tparams: {\n\t\trepo: CommitParams[\"repo\"];\n\t\tfiles: Array<URL | File | { path: string; content: ContentSource }>;\n\t\tcommitTitle?: CommitParams[\"title\"];\n\t\tcommitDescription?: CommitParams[\"description\"];\n\t\thubUrl?: CommitParams[\"hubUrl\"];\n\t\tbranch?: CommitParams[\"branch\"];\n\t\tisPullRequest?: CommitParams[\"isPullRequest\"];\n\t\tparentCommit?: CommitParams[\"parentCommit\"];\n\t\tfetch?: CommitParams[\"fetch\"];\n\t\tuseWebWorkers?: CommitParams[\"useWebWorkers\"];\n\t\tmaxFolderDepth?: CommitParams[\"maxFolderDepth\"];\n\t\tabortSignal?: CommitParams[\"abortSignal\"];\n\t\tuseXet?: CommitParams[\"useXet\"];\n\t} & Partial<CredentialsParams>,\n): Promise<CommitOutput | undefined> {\n\treturn commit({\n\t\t...(params.accessToken ? { accessToken: [REDACTED_SECRET] } : { credentials: params.credentials }),\n\t\trepo: params.repo,\n\t\toperations: params.files.map((file) => ({\n\t\t\toperation: \"addOrUpdate\",\n\t\t\tpath: file instanceof URL ? (file.pathname.split(\"/\").at(-1) ?? \"file\") : \"path\" in file ? file.path : file.name,\n\t\t\tcontent: \"content\" in file ? file.content : file,\n\t\t})),\n\t\ttitle: params.commitTitle ?? `Add ${params.files.length} files`,\n\t\tdescription: params.commitDescription,\n\t\thubUrl: params.hubUrl,\n\t\tbranch: params.branch,\n\t\tisPullRequest: params.isPullRequest,\n\t\tparentCommit: params.parentCommit,\n\t\tfetch: params.fetch,\n\t\tuseWebWorkers: params.useWebWorkers,\n\t\tabortSignal: params.abortSignal,\n\t\tuseXet: params.useXet,\n\t});\n}\n"}],"isError":false,"timestamp":1774713421232}}
{"type":"message","id":"6ca86d5f","parentId":"ab603331","timestamp":"2026-03-28T15:57:01.242Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import { HUB_URL } from \"../consts\";\nimport { createApiError } from \"../error\";\nimport type { RepoDesignation } from \"../types/public\";\nimport { toRepoId } from \"../utils/toRepoId\";\n\nexport async function repoExists(params: {\n\trepo: RepoDesignation;\n\n\thubUrl?: string;\n\t/**\n\t * An optional Git revision id which can be a branch name, a tag, or a commit hash.\n\t */\n\trevision?: string;\n\t/**\n\t * Custom fetch function to use instead of the default one, for example to use a proxy or edit headers.\n\t */\n\tfetch?: typeof fetch;\n\taccessToken?: string;\n}): Promise<boolean> {\n\tconst repoId = toRepoId(params.repo);\n\n\tconst res = await (params.fetch ?? fetch)(\n\t\t`${params.hubUrl ?? HUB_URL}/api/${repoId.type}s/${repoId.name}?expand[]=likes`,\n\t\t{\n\t\t\tmethod: \"GET\",\n\t\t\theaders: {\n\t\t\t\t...(params.accessToken && {\n\t\t\t\t\tAuthorization: `[REDACTED_SECRET]`,\n\t\t\t\t}),\n\t\t\t},\n\t\t},\n\t);\n\n\tif (res.status === 404 || res.status === 401) {\n\t\treturn false;\n\t}\n\n\tif (!res.ok) {\n\t\tthrow await createApiError(res);\n\t}\n\n\treturn true;\n}\n"}],"isError":false,"timestamp":1774713421242}}
{"type":"message","id":"4d1a5194","parentId":"6ca86d5f","timestamp":"2026-03-28T15:57:01.244Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import { HUB_URL } from \"../consts\";\n// eslint-disable-next-line @typescript-eslint/no-unused-vars\nimport { createApiError, type HubApiError } from \"../error\";\nimport type { CredentialsParams, RepoDesignation } from \"../types/public\";\nimport { checkCredentials } from \"../utils/checkCredentials\";\nimport { toRepoId } from \"../utils/toRepoId\";\n\n/**\n * Check if we have read access to a repository.\n *\n * Throw a {@link HubApiError} error if we don't have access. HubApiError.statusCode will be 401, 403 or 404.\n */\nexport async function checkRepoAccess(\n\tparams: {\n\t\trepo: RepoDesignation;\n\t\thubUrl?: string;\n\t\tfetch?: typeof fetch;\n\t} & Partial<CredentialsParams>,\n): Promise<void> {\n\tconst accessToken = [REDACTED_SECRET] && checkCredentials(params);\n\tconst repoId = toRepoId(params.repo);\n\n\tconst response = await (params.fetch || fetch)(`${params?.hubUrl || HUB_URL}/api/${repoId.type}s/${repoId.name}`, {\n\t\theaders: {\n\t\t\t...(accessToken ? { Authorization: `[REDACTED_SECRET]` } : {}),\n\t\t},\n\t});\n\n\tif (!response.ok) {\n\t\tthrow await createApiError(response);\n\t}\n}\n"}],"isError":false,"timestamp":1774713421242}}
{"type":"message","id":"1e4cfa52","parentId":"4d1a5194","timestamp":"2026-03-28T15:57:05.638Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting commit types**\n\nI need to look at different types for CommitOutput, which probably includes commit info. I'll want to grab just the repository URL, and I might also need to derive the dataset URL from that. It’s weighing on my mind that I need to build a final message that lists both the gist and HF links. Additionally, I may need to create a dataset tree URL manually. Time to search through the commit output!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting commit types**\\n\\nI need to look at different types for CommitOutput, which probably includes commit info. I'll want to grab just the repository URL, and I might also need to derive the dataset URL from that. It’s weighing on my mind that I need to build a final message that lists both the gist and HF links. Additionally, I may need to create a dataset tree URL manually. Time to search through the commit output!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"rg -n \"export type CommitOutput|interface CommitOutput|type CommitOutput\" node_modules/@huggingface/hub/src/lib/commit.ts node_modules/@huggingface/hub/src/types -S","timeout":20},"partialJson":"{\"command\":\"rg -n \\\"export type CommitOutput|interface CommitOutput|type CommitOutput\\\" node_modules/@huggingface/hub/src/lib/commit.ts node_modules/@huggingface/hub/src/types -S\",\"timeout\":20}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"node_modules/@huggingface/hub/src/lib/commit.ts","offset":1,"limit":140},"partialJson":"{\"path\":\"node_modules/@huggingface/hub/src/lib/commit.ts\",\"offset\":1,\"limit\":140}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1135,"output":165,"cacheRead":64256,"cacheWrite":0,"totalTokens":65556,"cost":{"input":0.0028375,"output":0.002475,"cacheRead":0.016064,"cacheWrite":0,"total":0.0213765}},"stopReason":"toolUse","timestamp":1774713421244,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"a2a6165f","parentId":"1e4cfa52","timestamp":"2026-03-28T15:57:05.659Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"node_modules/@huggingface/hub/src/lib/commit.ts:134:export interface CommitOutput {\n"}],"isError":false,"timestamp":1774713425658}}
{"type":"message","id":"c786a295","parentId":"a2a6165f","timestamp":"2026-03-28T15:57:05.662Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"import { HUB_URL } from \"../consts\";\nimport { HubApiError, createApiError, InvalidApiResponseFormatError } from \"../error\";\nimport type {\n\tApiBucketBatchResponse,\n\tApiCommitHeader,\n\tApiCommitLfsFile,\n\tApiCommitOperation,\n\tApiLfsBatchRequest,\n\tApiLfsBatchResponse,\n\tApiLfsCompleteMultipartRequest,\n\tApiPreuploadRequest,\n\tApiPreuploadResponse,\n} from \"../types/api/api-commit\";\nimport type { CredentialsParams, RepoDesignation } from \"../types/public\";\nimport { checkCredentials } from \"../utils/checkCredentials\";\nimport { chunk } from \"../utils/chunk\";\nimport { promisesQueue } from \"../utils/promisesQueue\";\nimport { promisesQueueStreaming } from \"../utils/promisesQueueStreaming\";\nimport { sha256 } from \"../utils/sha256\";\nimport { toRepoId } from \"../utils/toRepoId\";\nimport { WebBlob } from \"../utils/WebBlob\";\nimport { eventToGenerator } from \"../utils/eventToGenerator\";\nimport { base64FromBytes } from \"../utils/base64FromBytes\";\nimport { isFrontend } from \"../utils/isFrontend\";\nimport { createBlobs } from \"../utils/createBlobs\";\nimport type { XetTokenParams } from \"../utils/uploadShards\";\nimport { uploadShards } from \"../utils/uploadShards\";\nimport { splitAsyncGenerator } from \"../utils/splitAsyncGenerator\";\nimport { SplicedBlob } from \"../utils/SplicedBlob\";\n\nconst CONCURRENT_SHAS = 5;\nconst CONCURRENT_LFS_UPLOADS = 5;\nconst MULTIPART_PARALLEL_UPLOAD = 5;\n\nexport interface CommitDeletedEntry {\n\toperation: \"delete\";\n\tpath: string;\n}\n\nexport type ContentSource = Blob | URL;\n\nexport interface CommitFile {\n\toperation: \"addOrUpdate\";\n\tpath: string;\n\tcontent: ContentSource;\n\t// forceLfs?: boolean\n}\n\n/**\n * Opitmized when only the beginning or the end of the file is replaced\n *\n * todo: handle other cases\n */\nexport interface CommitEditFile {\n\toperation: \"edit\";\n\tpath: string;\n\t/** Later, will be ContentSource. For now simpler to just handle blobs */\n\toriginalContent: Blob;\n\tedits: Array<{\n\t\t/**\n\t\t * Later, will be ContentSource. For now simpler to just handle blobs\n\t\t *\n\t\t * originalContent from [start, end) will be replaced by this\n\t\t */\n\t\tcontent: Blob;\n\t\t/**\n\t\t * The start position of the edit in the original content\n\t\t */\n\t\tstart: number;\n\t\t/**\n\t\t * The end position of the edit in the original content\n\t\t *\n\t\t * originalContent from [start, end) will be replaced by the edit\n\t\t */\n\t\tend: number;\n\t}>;\n}\n\ntype CommitBlob = Omit<CommitFile, \"content\"> & { content: Blob };\n\n// TODO: find a nice way to handle LFS & non-LFS files in an uniform manner, see https://github.com/huggingface/moon-landing/issues/4370\n// export type CommitRenameFile = {\n// \toperation: \"rename\";\n// \tpath:      string;\n// \toldPath:   string;\n// \tcontent?:  ContentSource;\n// };\n\nexport type CommitOperation = CommitDeletedEntry | CommitFile | CommitEditFile /* | CommitRenameFile */;\ntype CommitBlobOperation = Exclude<CommitOperation, CommitFile> | CommitBlob;\n\nexport type CommitParams = {\n\ttitle: string;\n\tdescription?: string;\n\trepo: RepoDesignation;\n\toperations: CommitOperation[];\n\t/** @default \"main\" */\n\tbranch?: string;\n\t/**\n\t * Parent commit. Optional\n\t *\n\t * - When opening a PR: will use parentCommit as the parent commit\n\t * - When committing on a branch: Will make sure that there were no intermediate commits\n\t */\n\tparentCommit?: string;\n\tisPullRequest?: boolean;\n\thubUrl?: string;\n\t/**\n\t * Whether to use web workers to compute SHA256 hashes.\n\t *\n\t * @default false\n\t */\n\tuseWebWorkers?: boolean | { minSize?: number; poolSize?: number };\n\t/**\n\t * Maximum depth of folders to upload. Files deeper than this will be ignored\n\t *\n\t * @default 5\n\t */\n\tmaxFolderDepth?: number;\n\t/**\n\t * Custom fetch function to use instead of the default one, for example to use a proxy or edit headers.\n\t */\n\tfetch?: typeof fetch;\n\tabortSignal?: AbortSignal;\n\t/**\n\t * @default true\n\t *\n\t * Use xet protocol: https://huggingface.co/blog/xet-on-the-hub to upload, rather than a basic S3 PUT\n\t */\n\tuseXet?: boolean;\n\t// Credentials are optional due to custom fetch functions or cookie auth\n} & Partial<CredentialsParams>;\n\nexport interface CommitOutput {\n\tpullRequestUrl?: string;\n\tcommit: {\n\t\toid: string;\n\t\turl: string;\n\t};\n\thookOutput: string;\n\n[854 more lines in file. Use offset=141 to continue.]"}],"isError":false,"timestamp":1774713425659}}
{"type":"message","id":"b3cd1d8e","parentId":"c786a295","timestamp":"2026-03-28T15:57:25.073Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Evaluating repository configuration**\n\nI need to commit the output, even without a tree URL, and derive it manually. I'll inspect types for RepoDesignation, likely needing a format like {type:\"dataset\"|\"model\"|..., name:string}. \n\nCreating examples in a config file for the README seems useful, and I should probably add a .gitignore. It looks like bun is now the package manager. \n\nInstead of datasetInfo, using `repoExists` feels simpler. For API calls, 401 errors could indicate an invalid access token or issues with private repos. I think I should validate the token first with whoAmI, which might help when managing datasets and usernames in error messages.\n\n**Considering dataset configuration**\n\nI'm thinking that if the config file is empty, I could load the dataset list from the user's account. Since the user wanted a preconfigured list, having that in the config file should be enough.\n\nI might also consider supporting display labels for datasets—though using just strings could simplify things. But it seems the user would appreciate having a list, so maybe I can allow both strings and objects.\n\nI should create a path-safe timestamp for folder names, maybe by replacing colons with dashes. Additionally, I could implement a commit title and support both Gist and HF uploads. Publishing options could enhance the user experience, even if it feels like a lot.\n\n**Defining potential CLI flags**\n\nI'm considering some potential CLI flags like `--publisher` to specify options for Gist, Hugging Face, or both. Then there's `--dataset` for indicating the username/name of the dataset.\n\nI think I should update the `--help` flag, too. There's a question about keeping `--desc` for a general description. For Gist, I might just use that for the description, but reusing it for Hugging Face wouldn’t be ideal. \n\nSo it could be useful to have `--desc` serve for both Gist and Hugging Face commits. This feels like a solid plan!\n\n**Considering project setup**\n\nI think having a local project could be beneficial. I might want to inspect an example preset to identify some patterns. It seems like looking at the frontmatter might not be absolutely necessary—maybe I could just focus on reading the relevant parts instead. There’s a lot to consider here, and I'm curious how it all fits together! I’ll look further into it.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating repository configuration**\\n\\nI need to commit the output, even without a tree URL, and derive it manually. I'll inspect types for RepoDesignation, likely needing a format like {type:\\\"dataset\\\"|\\\"model\\\"|..., name:string}. \\n\\nCreating examples in a config file for the README seems useful, and I should probably add a .gitignore. It looks like bun is now the package manager. \\n\\nInstead of datasetInfo, using `repoExists` feels simpler. For API calls, 401 errors could indicate an invalid access token or issues with private repos. I think I should validate the token first with whoAmI, which might help when managing datasets and usernames in error messages.\"},{\"type\":\"summary_text\",\"text\":\"**Considering dataset configuration**\\n\\nI'm thinking that if the config file is empty, I could load the dataset list from the user's account. Since the user wanted a preconfigured list, having that in the config file should be enough.\\n\\nI might also consider supporting display labels for datasets—though using just strings could simplify things. But it seems the user would appreciate having a list, so maybe I can allow both strings and objects.\\n\\nI should create a path-safe timestamp for folder names, maybe by replacing colons with dashes. Additionally, I could implement a commit title and support both Gist and HF uploads. Publishing options could enhance the user experience, even if it feels like a lot.\"},{\"type\":\"summary_text\",\"text\":\"**Defining potential CLI flags**\\n\\nI'm considering some potential CLI flags like `--publisher` to specify options for Gist, Hugging Face, or both. Then there's `--dataset` for indicating the username/name of the dataset.\\n\\nI think I should update the `--help` flag, too. There's a question about keeping `--desc` for a general description. For Gist, I might just use that for the description, but reusing it for Hugging Face wouldn’t be ideal. \\n\\nSo it could be useful to have `--desc` serve for both Gist and Hugging Face commits. This feels like a solid plan!\"},{\"type\":\"summary_text\",\"text\":\"**Considering project setup**\\n\\nI think having a local project could be beneficial. I might want to inspect an example preset to identify some patterns. It seems like looking at the frontmatter might not be absolutely necessary—maybe I could just focus on reading the relevant parts instead. There’s a lot to consider here, and I'm curious how it all fits together! I’ll look further into it.\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"[REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent/examples/extensions/preset.ts","offset":1,"limit":170},"partialJson":"{\"path\":\"[REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent/examples/extensions/preset.ts\",\"offset\":1,\"limit\":170}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1242,"output":850,"cacheRead":65408,"cacheWrite":0,"totalTokens":67500,"cost":{"input":0.003105,"output":0.012750000000000001,"cacheRead":0.016352,"cacheWrite":0,"total":0.032207}},"stopReason":"toolUse","timestamp":1774713425663,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"97d9e6a6","parentId":"b3cd1d8e","timestamp":"2026-03-28T15:57:25.082Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"/**\n * Preset Extension\n *\n * Allows defining named presets that configure model, thinking level, tools,\n * and system prompt instructions. Presets are defined in JSON config files\n * and can be activated via CLI flag, /preset command, or Ctrl+Shift+U to cycle.\n *\n * Config files (merged, project takes precedence):\n * - ~/.pi/agent/presets.json (global)\n * - <cwd>/.pi/presets.json (project-local)\n *\n * Example presets.json:\n * ```json\n * {\n *   \"plan\": {\n *     \"provider\": \"openai-codex\",\n *     \"model\": \"gpt-5.2-codex\",\n *     \"thinkingLevel\": \"high\",\n *     \"tools\": [\"read\", \"grep\", \"find\", \"ls\"],\n *     \"instructions\": \"You are in PLANNING MODE. Your job is to deeply understand the problem and create a detailed implementation plan.\\n\\nRules:\\n- DO NOT make any changes. You cannot edit or write files.\\n- Read files IN FULL (no offset/limit) to get complete context. Partial reads miss critical details.\\n- Explore thoroughly: grep for related code, find similar patterns, understand the architecture.\\n- Ask clarifying questions if requirements are ambiguous. Do not assume.\\n- Identify risks, edge cases, and dependencies before proposing solutions.\\n\\nOutput:\\n- Create a structured plan with numbered steps.\\n- For each step: what to change, why, and potential risks.\\n- List files that will be modified.\\n- Note any tests that should be added or updated.\\n\\nWhen done, ask the user if they want you to:\\n1. Write the plan to a markdown file (e.g., PLAN.md)\\n2. Create a GitHub issue with the plan\\n3. Proceed to implementation (they should switch to 'implement' preset)\"\n *   },\n *   \"implement\": {\n *     \"provider\": \"anthropic\",\n *     \"model\": \"claude-sonnet-4-5\",\n *     \"thinkingLevel\": \"high\",\n *     \"tools\": [\"read\", \"bash\", \"edit\", \"write\"],\n *     \"instructions\": \"You are in IMPLEMENTATION MODE. Your job is to make focused, correct changes.\\n\\nRules:\\n- Keep scope tight. Do exactly what was asked, no more.\\n- Read files before editing to understand current state.\\n- Make surgical edits. Prefer edit over write for existing files.\\n- Explain your reasoning briefly before each change.\\n- Run tests or type checks after changes if the project has them (npm test, npm run check, etc.).\\n- If you encounter unexpected complexity, STOP and explain the issue rather than hacking around it.\\n\\nIf no plan exists:\\n- Ask clarifying questions before starting.\\n- Propose what you'll do and get confirmation for non-trivial changes.\\n\\nAfter completing changes:\\n- Summarize what was done.\\n- Note any follow-up work or tests that should be added.\"\n *   }\n * }\n * ```\n *\n * Usage:\n * - `pi --preset plan` - start with plan preset\n * - `/preset` - show selector to switch presets mid-session\n * - `/preset implement` - switch to implement preset directly\n * - `Ctrl+Shift+U` - cycle through presets\n *\n * CLI flags always override preset values.\n */\n\nimport { existsSync, readFileSync } from \"node:fs\";\nimport { join } from \"node:path\";\nimport type { ExtensionAPI, ExtensionContext } from \"@mariozechner/pi-coding-agent\";\nimport { DynamicBorder, getAgentDir } from \"@mariozechner/pi-coding-agent\";\nimport { Container, Key, type SelectItem, SelectList, Text } from \"@mariozechner/pi-tui\";\n\n// Preset configuration\ninterface Preset {\n\t/** Provider name (e.g., \"anthropic\", \"openai\") */\n\tprovider?: string;\n\t/** Model ID (e.g., \"claude-sonnet-4-5\") */\n\tmodel?: string;\n\t/** Thinking level */\n\tthinkingLevel?: \"off\" | \"minimal\" | \"low\" | \"medium\" | \"high\" | \"xhigh\";\n\t/** Tools to enable (replaces default set) */\n\ttools?: string[];\n\t/** Instructions to append to system prompt */\n\tinstructions?: string;\n}\n\ninterface PresetsConfig {\n\t[name: string]: Preset;\n}\n\n/**\n * Load presets from config files.\n * Project-local presets override global presets with the same name.\n */\nfunction loadPresets(cwd: string): PresetsConfig {\n\tconst globalPath = join(getAgentDir(), \"presets.json\");\n\tconst projectPath = join(cwd, \".pi\", \"presets.json\");\n\n\tlet globalPresets: PresetsConfig = {};\n\tlet projectPresets: PresetsConfig = {};\n\n\t// Load global presets\n\tif (existsSync(globalPath)) {\n\t\ttry {\n\t\t\tconst content = readFileSync(globalPath, \"utf-8\");\n\t\t\tglobalPresets = JSON.parse(content);\n\t\t} catch (err) {\n\t\t\tconsole.error(`Failed to load global presets from ${globalPath}: ${err}`);\n\t\t}\n\t}\n\n\t// Load project presets\n\tif (existsSync(projectPath)) {\n\t\ttry {\n\t\t\tconst content = readFileSync(projectPath, \"utf-8\");\n\t\t\tprojectPresets = JSON.parse(content);\n\t\t} catch (err) {\n\t\t\tconsole.error(`Failed to load project presets from ${projectPath}: ${err}`);\n\t\t}\n\t}\n\n\t// Merge (project overrides global)\n\treturn { ...globalPresets, ...projectPresets };\n}\n\nexport default function presetExtension(pi: ExtensionAPI) {\n\tlet presets: PresetsConfig = {};\n\tlet activePresetName: string | undefined;\n\tlet activePreset: Preset | undefined;\n\n\t// Register --preset CLI flag\n\tpi.registerFlag(\"preset\", {\n\t\tdescription: \"Preset configuration to use\",\n\t\ttype: \"string\",\n\t});\n\n\t/**\n\t * Apply a preset configuration.\n\t */\n\tasync function applyPreset(name: string, preset: Preset, ctx: ExtensionContext): Promise<boolean> {\n\t\t// Apply model if specified\n\t\tif (preset.provider && preset.model) {\n\t\t\tconst model = ctx.modelRegistry.find(preset.provider, preset.model);\n\t\t\tif (model) {\n\t\t\t\tconst success = await pi.setModel(model);\n\t\t\t\tif (!success) {\n\t\t\t\t\tctx.ui.notify(`Preset \"${name}\": No API key for ${preset.provider}/${preset.model}`, \"warning\");\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tctx.ui.notify(`Preset \"${name}\": Model ${preset.provider}/${preset.model} not found`, \"warning\");\n\t\t\t}\n\t\t}\n\n\t\t// Apply thinking level if specified\n\t\tif (preset.thinkingLevel) {\n\t\t\tpi.setThinkingLevel(preset.thinkingLevel);\n\t\t}\n\n\t\t// Apply tools if specified\n\t\tif (preset.tools && preset.tools.length > 0) {\n\t\t\tconst allToolNames = pi.getAllTools().map((t) => t.name);\n\t\t\tconst validTools = preset.tools.filter((t) => allToolNames.includes(t));\n\t\t\tconst invalidTools = preset.tools.filter((t) => !allToolNames.includes(t));\n\n\t\t\tif (invalidTools.length > 0) {\n\t\t\t\tctx.ui.notify(`Preset \"${name}\": Unknown tools: ${invalidTools.join(\", \")}`, \"warning\");\n\t\t\t}\n\n\t\t\tif (validTools.length > 0) {\n\t\t\t\tpi.setActiveTools(validTools);\n\t\t\t}\n\t\t}\n\n\t\t// Store active preset for system prompt injection\n\t\tactivePresetName = name;\n\t\tactivePreset = preset;\n\n\t\treturn true;\n\t}\n\n\t/**\n\t * Build description string for a preset.\n\t */\n\tfunction buildPresetDescription(preset: Preset): string {\n\t\tconst parts: string[] = [];\n\n\t\tif (preset.provider && preset.model) {\n\t\t\tparts.push(`${preset.provider}/${preset.model}`);\n\t\t}\n\t\tif (preset.thinkingLevel) {\n\t\t\tparts.push(`thinking:${preset.thinkingLevel}`);\n\t\t}\n\t\tif (preset.tools) {\n\t\t\tparts.push(`tools:${preset.tools.join(\",\")}`);\n\t\t}\n\t\tif (preset.instructions) {\n\n[228 more lines in file. Use offset=171 to continue.]"}],"isError":false,"timestamp":1774713445079}}
{"type":"message","id":"f560ce81","parentId":"97d9e6a6","timestamp":"2026-03-28T15:57:31.050Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Exploring implementation options**\n\nI’m considering using `getAgentDir` from the pi package since the extension already imports `ExtensionAPI`. It seems like it might be more helpful than the homedir function. I want to check if `getAgentDir()` is exported so I can import it if needed. For now, the extension only has peer dependencies available at runtime. I’ll need to inspect types and possibly search for the `getAgentDir` export using a tool or search through the package dist.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Exploring implementation options**\\n\\nI’m considering using `getAgentDir` from the pi package since the extension already imports `ExtensionAPI`. It seems like it might be more helpful than the homedir function. I want to check if `getAgentDir()` is exported so I can import it if needed. For now, the extension only has peer dependencies available at runtime. I’ll need to inspect types and possibly search for the `getAgentDir` export using a tool or search through the package dist.\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"rg -n \"getAgentDir\" [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent -S","timeout":20},"partialJson":"{\"command\":\"rg -n \\\"getAgentDir\\\" [REDACTED_HOME_DIR]/.nvm/versions/node/v22.14.0/lib/node_modules/@mariozechner/pi-coding-agent -S\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1912,"output":157,"cacheRead":67328,"cacheWrite":0,"totalTokens":69397,"cost":{"input":0.00478,"output":0.002355,"cacheRead":0.016832,"cacheWrite":0,"total":0.023967000000000002}},"stopReason":"toolUse","timestamp":1774713445083,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"c77c44b5","parentId":"f560ce81","timestamp":"2026-03-28T15:57:37.438Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"(no output)\n\n[Showing lines 5-5 of 5 (50.0KB limit). Full output: /var/folders/ck/g15y7fkx3m3bm2nxv8cj8wqr0000gn/T/[REDACTED_OPAQUE].log]"}],"details":{"truncation":{"content":"","truncated":true,"truncatedBy":"bytes","totalLines":5,"totalBytes":100817,"outputLines":1,"outputBytes":0,"lastLinePartial":false,"firstLineExceedsLimit":false,"maxLines":2000,"maxBytes":51200},"fullOutputPath":"/var/folders/ck/g15y7fkx3m3bm2nxv8cj8wqr0000gn/T/[REDACTED_OPAQUE].log"},"isError":false,"timestamp":1774713457438}}
{"type":"message","id":"1d3adbf3","parentId":"c77c44b5","timestamp":"2026-03-28T15:57:42.003Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"rg -n \"getAgentDir\" node_modules/@mariozechner/pi-coding-agent -S","timeout":20},"partialJson":"{\"command\":\"rg -n \\\"getAgentDir\\\" node_modules/@mariozechner/pi-coding-agent -S\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":69476,"output":69,"cacheRead":0,"cacheWrite":0,"totalTokens":69545,"cost":{"input":0.17369,"output":0.0010350000000000001,"cacheRead":0,"cacheWrite":0,"total":0.17472500000000002}},"stopReason":"toolUse","timestamp":1774713457439,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"1190570f","parentId":"1d3adbf3","timestamp":"2026-03-28T15:57:48.102Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"node_modules/@mariozechner/pi-coding-agent/dist/core/settings-manager.js:4:import { CONFIG_DIR_NAME, getAgentDir } from \"../config.js\";\nnode_modules/@mariozechner/pi-coding-agent/dist/core/settings-manager.js:33:    constructor(cwd = process.cwd(), agentDir = getAgentDir()) {\nnode_modules/@mariozechner/pi-coding-agent/dist/core/settings-manager.js:130:    static create(cwd = process.cwd(), agentDir = getAgentDir()) 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{ join } from \\\"node:path\\\";\\nimport { Agent, type AgentMessage, type ThinkingLevel } from \\\"@mariozechner/pi-agent-core\\\";\\nimport { type Message, type Model, streamSimple } from \\\"@mariozechner/pi-ai\\\";\\nimport { getAgentDir, getDocsPath } from \\\"../config.js\\\";\\nimport { AgentSession } from \\\"./agent-session.js\\\";\\nimport { AuthStorage } from \\\"./auth-storage.js\\\";\\nimport { DEFAULT_THINKING_LEVEL } from \\\"./defaults.js\\\";\\nimport type { ExtensionRunner, LoadExtensionsResult, ToolDefinition } from \\\"./extensions/index.js\\\";\\nimport { convertToLlm } from \\\"./messages.js\\\";\\nimport { ModelRegistry } from \\\"./model-registry.js\\\";\\nimport { findInitialModel } from \\\"./model-resolver.js\\\";\\nimport type { ResourceLoader } from \\\"./resource-loader.js\\\";\\nimport { DefaultResourceLoader } from \\\"./resource-loader.js\\\";\\nimport { [REDACTED_OPAQUE], SessionManager } from \\\"./session-manager.js\\\";\\nimport { SettingsManager } from \\\"./settings-manager.js\\\";\\nimport { time } from \\\"./timings.js\\\";\\nimport {\\n\\tallTools,\\n\\tbashTool,\\n\\tcodingTools,\\n\\tcreateBashTool,\\n\\tcreateCodingTools,\\n\\tcreateEditTool,\\n\\tcreateFindTool,\\n\\tcreateGrepTool,\\n\\tcreateLsTool,\\n\\tcreateReadOnlyTools,\\n\\tcreateReadTool,\\n\\tcreateWriteTool,\\n\\teditTool,\\n\\tfindTool,\\n\\tgrepTool,\\n\\tlsTool,\\n\\treadOnlyTools,\\n\\treadTool,\\n\\ttype Tool,\\n\\ttype ToolName,\\n\\twithFileMutationQueue,\\n\\twriteTool,\\n} from \\\"./tools/index.js\\\";\\n\\nexport interface CreateAgentSessionOptions {\\n\\t/** Working directory for project-local discovery. Default: process.cwd() */\\n\\tcwd?: string;\\n\\t/** Global config directory. Default: ~/.pi/agent */\\n\\tagentDir?: string;\\n\\n\\t/** Auth storage for credentials. Default: AuthStorage.create(agentDir/auth.json) */\\n\\tauthStorage?: AuthStorage;\\n\\t/** Model registry. Default: new ModelRegistry(authStorage, agentDir/models.json) */\\n\\tmodelRegistry?: ModelRegistry;\\n\\n\\t/** Model to use. Default: from settings, else first available */\\n\\tmodel?: Model<any>;\\n\\t/** Thinking level. Default: from settings, else 'medium' (clamped to model capabilities) */\\n\\tthinkingLevel?: ThinkingLevel;\\n\\t/** Models available for cycling (Ctrl+P in interactive mode) */\\n\\tscopedModels?: Array<{ model: Model<any>; thinkingLevel?: ThinkingLevel }>;\\n\\n\\t/** Built-in tools to use. Default: codingTools [read, bash, edit, write] */\\n\\ttools?: Tool[];\\n\\t/** Custom tools to register (in addition to built-in tools). */\\n\\tcustomTools?: ToolDefinition[];\\n\\n\\t/** Resource loader. When omitted, DefaultResourceLoader is used. */\\n\\tresourceLoader?: ResourceLoader;\\n\\n\\t/** Session manager. Default: SessionManager.create(cwd) */\\n\\tsessionManager?: SessionManager;\\n\\n\\t/** Settings manager. Default: SettingsManager.create(cwd, agentDir) */\\n\\tsettingsManager?: SettingsManager;\\n}\\n\\n/** Result from createAgentSession */\\nexport interface [REDACTED_OPAQUE] {\\n\\t/** The created session */\\n\\tsession: AgentSession;\\n\\t/** Extensions result (for UI context setup in interactive mode) */\\n\\textensionsResult: [REDACTED_OPAQUE];\\n\\t/** Warning if session was restored with a different model than saved */\\n\\tmodelFallbackMessage?: string;\\n}\\n\\n// Re-exports\\n\\nexport type {\\n\\tExtensionAPI,\\n\\tExtensionCommandContext,\\n\\tExtensionContext,\\n\\tExtensionFactory,\\n\\tSlashCommandInfo,\\n\\tSlashCommandSource,\\n\\tToolDefinition,\\n} from \\\"./extensions/index.js\\\";\\nexport type { PromptTemplate } from \\\"./prompt-templates.js\\\";\\nexport type { Skill } from \\\"./skills.js\\\";\\nexport type { Tool } from \\\"./tools/index.js\\\";\\n\\nexport {\\n\\t// Pre-built tools (use process.cwd())\\n\\treadTool,\\n\\tbashTool,\\n\\teditTool,\\n\\twriteTool,\\n\\tgrepTool,\\n\\tfindTool,\\n\\tlsTool,\\n\\tcodingTools,\\n\\treadOnlyTools,\\n\\tallTools as allBuiltInTools,\\n\\twithFileMutationQueue,\\n\\t// Tool factories (for custom cwd)\\n\\tcreateCodingTools,\\n\\tcreateReadOnlyTools,\\n\\tcreateReadTool,\\n\\tcreateBashTool,\\n\\tcreateEditTool,\\n\\tcreateWriteTool,\\n\\tcreateGrepTool,\\n\\tcreateFindTool,\\n\\tcreateLsTool,\\n};\\n\\n// Helper Functions\\n\\nfunction getDefaultAgentDir(): string {\\n\\treturn getAgentDir();\\n}\\n\\n/**\\n * Create an AgentSession with the specified options.\\n *\\n * @example\\n * ```typescript\\n * // Minimal - uses defaults\\n * const { session } = await createAgentSession();\\n *\\n * // With explicit model\\n * import { getModel } from '@mariozechner/pi-ai';\\n * const { session } = await createAgentSession({\\n *   model: getModel('anthropic', 'claude-opus-4-5'),\\n *   thinkingLevel: 'high',\\n * });\\n *\\n * // Continue previous session\\n * const { session, [REDACTED_OPAQUE] } = await createAgentSession({\\n *   continueSession: true,\\n * });\\n *\\n * // Full control\\n * const loader = new DefaultResourceLoader({\\n *   cwd: process.cwd(),\\n *   agentDir: getAgentDir(),\\n *   settingsManager: SettingsManager.create(),\\n * });\\n * await loader.reload();\\n * const { session } = await createAgentSession({\\n *   model: myModel,\\n *   tools: [readTool, bashTool],\\n *   resourceLoader: loader,\\n *   sessionManager: SessionManager.inMemory(),\\n * });\\n * ```\\n */\\nexport async function createAgentSession(options: CreateAgentSessionOptions = {}): Promise<CreateAgentSessionResult> {\\n\\tconst cwd = options.cwd ?? process.cwd();\\n\\tconst agentDir = options.agentDir ?? getDefaultAgentDir();\\n\\tlet resourceLoader = options.resourceLoader;\\n\\n\\t// Use provided or create AuthStorage and ModelRegistry\\n\\tconst authPath = options.agentDir ? join(agentDir, \\\"auth.json\\\") : undefined;\\n\\tconst modelsPath = options.agentDir ? join(agentDir, \\\"models.json\\\") : undefined;\\n\\tconst authStorage = options.authStorage ?? AuthStorage.create(authPath);\\n\\tconst modelRegistry = options.modelRegistry ?? new ModelRegistry(authStorage, modelsPath);\\n\\n\\tconst settingsManager = options.settingsManager ?? SettingsManager.create(cwd, agentDir);\\n\\tconst sessionManager = options.sessionManager ?? SessionManager.create(cwd, getDefaultSessionDir(cwd, agentDir));\\n\\n\\tif (!resourceLoader) {\\n\\t\\tresourceLoader = new DefaultResourceLoader({ cwd, agentDir, settingsManager });\\n\\t\\tawait resourceLoader.reload();\\n\\t\\ttime(\\\"resourceLoader.reload\\\");\\n\\t}\\n\\n\\t// Check if session has existing data to restore\\n\\tconst existingSession = sessionManager.buildSessionContext();\\n\\tconst hasExistingSession = existingSession.messages.length > 0;\\n\\tconst hasThinkingEntry = sessionManager.getBranch().some((entry) => entry.type === \\\"thinking_level_change\\\");\\n\\n\\tlet model = options.model;\\n\\tlet [REDACTED_OPAQUE]: string | undefined;\\n\\n\\t// If session has data, try to restore model from it\\n\\tif (!model && hasExistingSession && existingSession.model) {\\n\\t\\tconst restoredModel = modelRegistry.find(existingSession.model.provider, existingSession.model.modelId);\\n\\t\\tif (restoredModel && modelRegistry.hasConfiguredAuth(restoredModel)) {\\n\\t\\t\\tmodel = restoredModel;\\n\\t\\t}\\n\\t\\tif (!model) {\\n\\t\\t\\tmodelFallbackMessage = `Could not restore model ${existingSession.model.provider}/${existingSession.model.modelId}`;\\n\\t\\t}\\n\\t}\\n\\n\\t// If still no model, use findInitialModel (checks settings default, then provider defaults)\\n\\tif (!model) {\\n\\t\\tconst result = await findInitialModel({\\n\\t\\t\\tscopedModels: [],\\n\\t\\t\\tisContinuing: hasExistingSession,\\n\\t\\t\\tdefaultProvider: settingsManager.getDefaultProvider(),\\n\\t\\t\\tdefaultModelId: settingsManager.getDefaultModel(),\\n\\t\\t\\tdefaultThinkingLevel: settingsManager.getDefaultThinkingLevel(),\\n\\t\\t\\tmodelRegistry,\\n\\t\\t});\\n\\t\\tmodel = result.model;\\n\\t\\tif (!model) {\\n\\t\\t\\tmodelFallbackMessage = `No models available. Use /login or set an API key environment variable. See ${join(getDocsPath(), \\\"providers.md\\\")}. Then use /model to select a model.`;\\n\\t\\t} else if (modelFallbackMessage) {\\n\\t\\t\\tmodelFallbackMessage += `. Using ${model.provider}/${model.id}`;\\n\\t\\t}\\n\\t}\\n\\n\\tlet thinkingLevel = options.thinkingLevel;\\n\\n\\t// If session has data, restore thinking level from it\\n\\tif (thinkingLevel === undefined && hasExistingSession) {\\n\\t\\tthinkingLevel = hasThinkingEntry\\n\\t\\t\\t? (existingSession.thinkingLevel as ThinkingLevel)\\n\\t\\t\\t: (settingsManager.getDefaultThinkingLevel() ?? DEFAULT_THINKING_LEVEL);\\n\\t}\\n\\n\\t// Fall back to settings default\\n\\tif (thinkingLevel === undefined) {\\n\\t\\tthinkingLevel = settingsManager.getDefaultThinkingLevel() ?? DEFAULT_THINKING_LEVEL;\\n\\t}\\n\\n\\t// Clamp to model capabilities\\n\\tif (!model || !model.reasoning) {\\n\\t\\tthinkingLevel = \\\"off\\\";\\n\\t}\\n\\n\\tconst defaultActiveToolNames: ToolName[] = [\\\"read\\\", \\\"bash\\\", \\\"edit\\\", \\\"write\\\"];\\n\\tconst initialActiveToolNames: ToolName[] = options.tools\\n\\t\\t? options.tools.map((t) => t.name).filter((n): n is ToolName => n in allTools)\\n\\t\\t: defaultActiveToolNames;\\n\\n\\tlet agent: Agent;\\n\\n\\t// Create convertToLlm wrapper that filters images if blockImages is enabled (defense-in-depth)\\n\\tconst convertToLlmWithBlockImages = (messages: AgentMessage[]): Message[] => {\\n\\t\\tconst converted = convertToLlm(messages);\\n\\t\\t// Check setting dynamically so mid-session changes take effect\\n\\t\\tif (!settingsManager.getBlockImages()) {\\n\\t\\t\\treturn converted;\\n\\t\\t}\\n\\t\\t// Filter out ImageContent from all messages, replacing with text placeholder\\n\\t\\treturn converted.map((msg) => {\\n\\t\\t\\tif (msg.role === \\\"user\\\" || msg.role === \\\"toolResult\\\") {\\n\\t\\t\\t\\tconst content = msg.content;\\n\\t\\t\\t\\tif (Array.isArray(content)) {\\n\\t\\t\\t\\t\\tconst hasImages = content.some((c) => c.type === \\\"image\\\");\\n\\t\\t\\t\\t\\tif (hasImages) {\\n\\t\\t\\t\\t\\t\\tconst filteredContent = content\\n\\t\\t\\t\\t\\t\\t\\t.map((c) =>\\n\\t\\t\\t\\t\\t\\t\\t\\tc.type === \\\"image\\\" ? { type: \\\"text\\\" as const, text: \\\"Image reading is disabled.\\\" } : c,\\n\\t\\t\\t\\t\\t\\t\\t)\\n\\t\\t\\t\\t\\t\\t\\t.filter(\\n\\t\\t\\t\\t\\t\\t\\t\\t(c, i, arr) =>\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t// Dedupe consecutive \\\"Image reading is disabled.\\\" texts\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t!(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tc.type === \\\"text\\\" &&\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tc.text === \\\"Image reading is disabled.\\\" &&\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\ti > 0 &&\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tarr[i - 1].type === \\\"text\\\" &&\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t(arr[i - 1] as { type: \\\"text\\\"; text: string }).text === \\\"Image reading is disabled.\\\"\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t),\\n\\t\\t\\t\\t\\t\\t\\t);\\n\\t\\t\\t\\t\\t\\treturn { ...msg, content: filteredContent };\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\treturn msg;\\n\\t\\t});\\n\\t};\\n\\n\\tconst extensionRunnerRef: { current?: ExtensionRunner } = {};\\n\\n\\tagent = new Agent({\\n\\t\\tinitialState: {\\n\\t\\t\\tsystemPrompt: \\\"\\\",\\n\\t\\t\\tmodel,\\n\\t\\t\\tthinkingLevel,\\n\\t\\t\\ttools: [],\\n\\t\\t},\\n\\t\\tconvertToLlm: convertToLlmWithBlockImages,\\n\\t\\tstreamFn: async (model, context, options) => {\\n\\t\\t\\tconst auth = [REDACTED_SECRET] modelRegistry.getApiKeyAndHeaders(model);\\n\\t\\t\\tif (!auth.ok) {\\n\\t\\t\\t\\tthrow new Error(auth.error);\\n\\t\\t\\t}\\n\\t\\t\\treturn streamSimple(model, context, {\\n\\t\\t\\t\\t...options,\\n\\t\\t\\t\\tapiKey: auth.apiKey,\\n\\t\\t\\t\\theaders: auth.headers || options?.headers ? { ...auth.headers, ...options?.headers } : undefined,\\n\\t\\t\\t});\\n\\t\\t},\\n\\t\\tonPayload: async (payload, _model) => {\\n\\t\\t\\tconst runner = extensionRunnerRef.current;\\n\\t\\t\\tif (!runner?.hasHandlers(\\\"before_provider_request\\\")) {\\n\\t\\t\\t\\treturn payload;\\n\\t\\t\\t}\\n\\t\\t\\treturn runner.emitBeforeProviderRequest(payload);\\n\\t\\t},\\n\\t\\tsessionId: sessionManager.getSessionId(),\\n\\t\\ttransformContext: async (messages) => {\\n\\t\\t\\tconst runner = extensionRunnerRef.current;\\n\\t\\t\\tif (!runner) return messages;\\n\\t\\t\\treturn runner.emitContext(messages);\\n\\t\\t},\\n\\t\\tsteeringMode: settingsManager.getSteeringMode(),\\n\\t\\tfollowUpMode: settingsManager.getFollowUpMode(),\\n\\t\\ttransport: settingsManager.getTransport(),\\n\\t\\tthinkingBudgets: settingsManager.getThinkingBudgets(),\\n\\t\\tmaxRetryDelayMs: settingsManager.getRetrySettings().maxDelayMs,\\n\\t});\\n\\n\\t// Restore messages if session has existing data\\n\\tif (hasExistingSession) {\\n\\t\\tagent.replaceMessages(existingSession.messages);\\n\\t\\tif (!hasThinkingEntry) {\\n\\t\\t\\tsessionManager.appendThinkingLevelChange(thinkingLevel);\\n\\t\\t}\\n\\t} else {\\n\\t\\t// Save initial model and thinking level for new sessions so they can be restored on resume\\n\\t\\tif (model) {\\n\\t\\t\\tsessionManager.appendModelChange(model.provider, model.id);\\n\\t\\t}\\n\\t\\tsessionManager.[REDACTED_OPAQUE](thinkingLevel);\\n\\t}\\n\\n\\tconst session = new AgentSession({\\n\\t\\tagent,\\n\\t\\tsessionManager,\\n\\t\\tsettingsManager,\\n\\t\\tcwd,\\n\\t\\tscopedModels: options.scopedModels,\\n\\t\\tresourceLoader,\\n\\t\\tcustomTools: options.customTools,\\n\\t\\tmodelRegistry,\\n\\t\\tinitialActiveToolNames,\\n\\t\\textensionRunnerRef,\\n\\t});\\n\\tconst extensionsResult = resourceLoader.getExtensions();\\n\\n\\treturn {\\n\\t\\tsession,\\n\\t\\textensionsResult,\\n\\t\\tmodelFallbackMessage,\\n\\t};\\n}\\n\"]}\n\n\n[Showing lines 4-8 of 8 (50.0KB limit). Full output: /var/folders/ck/g15y7fkx3m3bm2nxv8cj8wqr0000gn/T/[REDACTED_OPAQUE].log]"}],"details":{"truncation":{"content":"node_modules/@mariozechner/pi-coding-agent/dist/core/settings-manager.js:4:import { CONFIG_DIR_NAME, getAgentDir } from \"../config.js\";\nnode_modules/@mariozechner/pi-coding-agent/dist/core/settings-manager.js:33:    constructor(cwd = process.cwd(), agentDir = getAgentDir()) {\nnode_modules/@mariozechner/pi-coding-agent/dist/core/settings-manager.js:130:    static create(cwd = process.cwd(), agentDir = getAgentDir()) 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{ join } from \\\"node:path\\\";\\nimport { Agent, type AgentMessage, type ThinkingLevel } from \\\"@mariozechner/pi-agent-core\\\";\\nimport { type Message, type Model, streamSimple } from \\\"@mariozechner/pi-ai\\\";\\nimport { getAgentDir, getDocsPath } from \\\"../config.js\\\";\\nimport { AgentSession } from \\\"./agent-session.js\\\";\\nimport { AuthStorage } from \\\"./auth-storage.js\\\";\\nimport { DEFAULT_THINKING_LEVEL } from \\\"./defaults.js\\\";\\nimport type { ExtensionRunner, LoadExtensionsResult, ToolDefinition } from \\\"./extensions/index.js\\\";\\nimport { convertToLlm } from \\\"./messages.js\\\";\\nimport { ModelRegistry } from \\\"./model-registry.js\\\";\\nimport { findInitialModel } from \\\"./model-resolver.js\\\";\\nimport type { ResourceLoader } from \\\"./resource-loader.js\\\";\\nimport { DefaultResourceLoader } from \\\"./resource-loader.js\\\";\\nimport { [REDACTED_OPAQUE], SessionManager } from \\\"./session-manager.js\\\";\\nimport { SettingsManager } from \\\"./settings-manager.js\\\";\\nimport { time } from \\\"./timings.js\\\";\\nimport {\\n\\tallTools,\\n\\tbashTool,\\n\\tcodingTools,\\n\\tcreateBashTool,\\n\\tcreateCodingTools,\\n\\tcreateEditTool,\\n\\tcreateFindTool,\\n\\tcreateGrepTool,\\n\\tcreateLsTool,\\n\\tcreateReadOnlyTools,\\n\\tcreateReadTool,\\n\\tcreateWriteTool,\\n\\teditTool,\\n\\tfindTool,\\n\\tgrepTool,\\n\\tlsTool,\\n\\treadOnlyTools,\\n\\treadTool,\\n\\ttype Tool,\\n\\ttype ToolName,\\n\\twithFileMutationQueue,\\n\\twriteTool,\\n} from \\\"./tools/index.js\\\";\\n\\nexport interface CreateAgentSessionOptions {\\n\\t/** Working directory for project-local discovery. Default: process.cwd() */\\n\\tcwd?: string;\\n\\t/** Global config directory. Default: ~/.pi/agent */\\n\\tagentDir?: string;\\n\\n\\t/** Auth storage for credentials. Default: AuthStorage.create(agentDir/auth.json) */\\n\\tauthStorage?: AuthStorage;\\n\\t/** Model registry. Default: new ModelRegistry(authStorage, agentDir/models.json) */\\n\\tmodelRegistry?: ModelRegistry;\\n\\n\\t/** Model to use. Default: from settings, else first available */\\n\\tmodel?: Model<any>;\\n\\t/** Thinking level. Default: from settings, else 'medium' (clamped to model capabilities) */\\n\\tthinkingLevel?: ThinkingLevel;\\n\\t/** Models available for cycling (Ctrl+P in interactive mode) */\\n\\tscopedModels?: Array<{ model: Model<any>; thinkingLevel?: ThinkingLevel }>;\\n\\n\\t/** Built-in tools to use. Default: codingTools [read, bash, edit, write] */\\n\\ttools?: Tool[];\\n\\t/** Custom tools to register (in addition to built-in tools). */\\n\\tcustomTools?: ToolDefinition[];\\n\\n\\t/** Resource loader. When omitted, DefaultResourceLoader is used. */\\n\\tresourceLoader?: ResourceLoader;\\n\\n\\t/** Session manager. Default: SessionManager.create(cwd) */\\n\\tsessionManager?: SessionManager;\\n\\n\\t/** Settings manager. Default: SettingsManager.create(cwd, agentDir) */\\n\\tsettingsManager?: SettingsManager;\\n}\\n\\n/** Result from createAgentSession */\\nexport interface [REDACTED_OPAQUE] {\\n\\t/** The created session */\\n\\tsession: AgentSession;\\n\\t/** Extensions result (for UI context setup in interactive mode) */\\n\\textensionsResult: [REDACTED_OPAQUE];\\n\\t/** Warning if session was restored with a different model than saved */\\n\\tmodelFallbackMessage?: string;\\n}\\n\\n// Re-exports\\n\\nexport type {\\n\\tExtensionAPI,\\n\\tExtensionCommandContext,\\n\\tExtensionContext,\\n\\tExtensionFactory,\\n\\tSlashCommandInfo,\\n\\tSlashCommandSource,\\n\\tToolDefinition,\\n} from \\\"./extensions/index.js\\\";\\nexport type { PromptTemplate } from \\\"./prompt-templates.js\\\";\\nexport type { Skill } from \\\"./skills.js\\\";\\nexport type { Tool } from \\\"./tools/index.js\\\";\\n\\nexport {\\n\\t// Pre-built tools (use process.cwd())\\n\\treadTool,\\n\\tbashTool,\\n\\teditTool,\\n\\twriteTool,\\n\\tgrepTool,\\n\\tfindTool,\\n\\tlsTool,\\n\\tcodingTools,\\n\\treadOnlyTools,\\n\\tallTools as allBuiltInTools,\\n\\twithFileMutationQueue,\\n\\t// Tool factories (for custom cwd)\\n\\tcreateCodingTools,\\n\\tcreateReadOnlyTools,\\n\\tcreateReadTool,\\n\\tcreateBashTool,\\n\\tcreateEditTool,\\n\\tcreateWriteTool,\\n\\tcreateGrepTool,\\n\\tcreateFindTool,\\n\\tcreateLsTool,\\n};\\n\\n// Helper Functions\\n\\nfunction getDefaultAgentDir(): string {\\n\\treturn getAgentDir();\\n}\\n\\n/**\\n * Create an AgentSession with the specified options.\\n *\\n * @example\\n * ```typescript\\n * // Minimal - uses defaults\\n * const { session } = await createAgentSession();\\n *\\n * // With explicit model\\n * import { getModel } from '@mariozechner/pi-ai';\\n * const { session } = await createAgentSession({\\n *   model: getModel('anthropic', 'claude-opus-4-5'),\\n *   thinkingLevel: 'high',\\n * });\\n *\\n * // Continue previous session\\n * const { session, [REDACTED_OPAQUE] } = await createAgentSession({\\n *   continueSession: true,\\n * });\\n *\\n * // Full control\\n * const loader = new DefaultResourceLoader({\\n *   cwd: process.cwd(),\\n *   agentDir: getAgentDir(),\\n *   settingsManager: SettingsManager.create(),\\n * });\\n * await loader.reload();\\n * const { session } = await createAgentSession({\\n *   model: myModel,\\n *   tools: [readTool, bashTool],\\n *   resourceLoader: loader,\\n *   sessionManager: SessionManager.inMemory(),\\n * });\\n * ```\\n */\\nexport async function createAgentSession(options: CreateAgentSessionOptions = {}): Promise<CreateAgentSessionResult> {\\n\\tconst cwd = options.cwd ?? process.cwd();\\n\\tconst agentDir = options.agentDir ?? getDefaultAgentDir();\\n\\tlet resourceLoader = options.resourceLoader;\\n\\n\\t// Use provided or create AuthStorage and ModelRegistry\\n\\tconst authPath = options.agentDir ? join(agentDir, \\\"auth.json\\\") : undefined;\\n\\tconst modelsPath = options.agentDir ? join(agentDir, \\\"models.json\\\") : undefined;\\n\\tconst authStorage = options.authStorage ?? AuthStorage.create(authPath);\\n\\tconst modelRegistry = options.modelRegistry ?? new ModelRegistry(authStorage, modelsPath);\\n\\n\\tconst settingsManager = options.settingsManager ?? SettingsManager.create(cwd, agentDir);\\n\\tconst sessionManager = options.sessionManager ?? SessionManager.create(cwd, getDefaultSessionDir(cwd, agentDir));\\n\\n\\tif (!resourceLoader) {\\n\\t\\tresourceLoader = new DefaultResourceLoader({ cwd, agentDir, settingsManager });\\n\\t\\tawait resourceLoader.reload();\\n\\t\\ttime(\\\"resourceLoader.reload\\\");\\n\\t}\\n\\n\\t// Check if session has existing data to restore\\n\\tconst existingSession = sessionManager.buildSessionContext();\\n\\tconst hasExistingSession = existingSession.messages.length > 0;\\n\\tconst hasThinkingEntry = sessionManager.getBranch().some((entry) => entry.type === \\\"thinking_level_change\\\");\\n\\n\\tlet model = options.model;\\n\\tlet [REDACTED_OPAQUE]: string | undefined;\\n\\n\\t// If session has data, try to restore model from it\\n\\tif (!model && hasExistingSession && existingSession.model) {\\n\\t\\tconst restoredModel = modelRegistry.find(existingSession.model.provider, existingSession.model.modelId);\\n\\t\\tif (restoredModel && modelRegistry.hasConfiguredAuth(restoredModel)) {\\n\\t\\t\\tmodel = restoredModel;\\n\\t\\t}\\n\\t\\tif (!model) {\\n\\t\\t\\tmodelFallbackMessage = `Could not restore model ${existingSession.model.provider}/${existingSession.model.modelId}`;\\n\\t\\t}\\n\\t}\\n\\n\\t// If still no model, use findInitialModel (checks settings default, then provider defaults)\\n\\tif (!model) {\\n\\t\\tconst result = await findInitialModel({\\n\\t\\t\\tscopedModels: [],\\n\\t\\t\\tisContinuing: hasExistingSession,\\n\\t\\t\\tdefaultProvider: settingsManager.getDefaultProvider(),\\n\\t\\t\\tdefaultModelId: settingsManager.getDefaultModel(),\\n\\t\\t\\tdefaultThinkingLevel: settingsManager.getDefaultThinkingLevel(),\\n\\t\\t\\tmodelRegistry,\\n\\t\\t});\\n\\t\\tmodel = result.model;\\n\\t\\tif (!model) {\\n\\t\\t\\tmodelFallbackMessage = `No models available. Use /login or set an API key environment variable. See ${join(getDocsPath(), \\\"providers.md\\\")}. Then use /model to select a model.`;\\n\\t\\t} else if (modelFallbackMessage) {\\n\\t\\t\\tmodelFallbackMessage += `. Using ${model.provider}/${model.id}`;\\n\\t\\t}\\n\\t}\\n\\n\\tlet thinkingLevel = options.thinkingLevel;\\n\\n\\t// If session has data, restore thinking level from it\\n\\tif (thinkingLevel === undefined && hasExistingSession) {\\n\\t\\tthinkingLevel = hasThinkingEntry\\n\\t\\t\\t? (existingSession.thinkingLevel as ThinkingLevel)\\n\\t\\t\\t: (settingsManager.getDefaultThinkingLevel() ?? DEFAULT_THINKING_LEVEL);\\n\\t}\\n\\n\\t// Fall back to settings default\\n\\tif (thinkingLevel === undefined) {\\n\\t\\tthinkingLevel = settingsManager.getDefaultThinkingLevel() ?? DEFAULT_THINKING_LEVEL;\\n\\t}\\n\\n\\t// Clamp to model capabilities\\n\\tif (!model || !model.reasoning) {\\n\\t\\tthinkingLevel = \\\"off\\\";\\n\\t}\\n\\n\\tconst defaultActiveToolNames: ToolName[] = [\\\"read\\\", \\\"bash\\\", \\\"edit\\\", \\\"write\\\"];\\n\\tconst initialActiveToolNames: ToolName[] = options.tools\\n\\t\\t? options.tools.map((t) => t.name).filter((n): n is ToolName => n in allTools)\\n\\t\\t: defaultActiveToolNames;\\n\\n\\tlet agent: Agent;\\n\\n\\t// Create convertToLlm wrapper that filters images if blockImages is enabled (defense-in-depth)\\n\\tconst convertToLlmWithBlockImages = (messages: AgentMessage[]): Message[] => {\\n\\t\\tconst converted = convertToLlm(messages);\\n\\t\\t// Check setting dynamically so mid-session changes take effect\\n\\t\\tif (!settingsManager.getBlockImages()) {\\n\\t\\t\\treturn converted;\\n\\t\\t}\\n\\t\\t// Filter out ImageContent from all messages, replacing with text placeholder\\n\\t\\treturn converted.map((msg) => {\\n\\t\\t\\tif (msg.role === \\\"user\\\" || msg.role === \\\"toolResult\\\") {\\n\\t\\t\\t\\tconst content = msg.content;\\n\\t\\t\\t\\tif (Array.isArray(content)) {\\n\\t\\t\\t\\t\\tconst hasImages = content.some((c) => c.type === \\\"image\\\");\\n\\t\\t\\t\\t\\tif (hasImages) {\\n\\t\\t\\t\\t\\t\\tconst filteredContent = content\\n\\t\\t\\t\\t\\t\\t\\t.map((c) =>\\n\\t\\t\\t\\t\\t\\t\\t\\tc.type === \\\"image\\\" ? { type: \\\"text\\\" as const, text: \\\"Image reading is disabled.\\\" } : c,\\n\\t\\t\\t\\t\\t\\t\\t)\\n\\t\\t\\t\\t\\t\\t\\t.filter(\\n\\t\\t\\t\\t\\t\\t\\t\\t(c, i, arr) =>\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t// Dedupe consecutive \\\"Image reading is disabled.\\\" texts\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t!(\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tc.type === \\\"text\\\" &&\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tc.text === \\\"Image reading is disabled.\\\" &&\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\ti > 0 &&\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\tarr[i - 1].type === \\\"text\\\" &&\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t\\t(arr[i - 1] as { type: \\\"text\\\"; text: string }).text === \\\"Image reading is disabled.\\\"\\n\\t\\t\\t\\t\\t\\t\\t\\t\\t),\\n\\t\\t\\t\\t\\t\\t\\t);\\n\\t\\t\\t\\t\\t\\treturn { ...msg, content: filteredContent };\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\treturn msg;\\n\\t\\t});\\n\\t};\\n\\n\\tconst extensionRunnerRef: { current?: ExtensionRunner } = {};\\n\\n\\tagent = new Agent({\\n\\t\\tinitialState: {\\n\\t\\t\\tsystemPrompt: \\\"\\\",\\n\\t\\t\\tmodel,\\n\\t\\t\\tthinkingLevel,\\n\\t\\t\\ttools: [],\\n\\t\\t},\\n\\t\\tconvertToLlm: convertToLlmWithBlockImages,\\n\\t\\tstreamFn: async (model, context, options) => {\\n\\t\\t\\tconst auth = [REDACTED_SECRET] modelRegistry.getApiKeyAndHeaders(model);\\n\\t\\t\\tif (!auth.ok) {\\n\\t\\t\\t\\tthrow new Error(auth.error);\\n\\t\\t\\t}\\n\\t\\t\\treturn streamSimple(model, context, {\\n\\t\\t\\t\\t...options,\\n\\t\\t\\t\\tapiKey: auth.apiKey,\\n\\t\\t\\t\\theaders: auth.headers || options?.headers ? { ...auth.headers, ...options?.headers } : undefined,\\n\\t\\t\\t});\\n\\t\\t},\\n\\t\\tonPayload: async (payload, _model) => {\\n\\t\\t\\tconst runner = extensionRunnerRef.current;\\n\\t\\t\\tif (!runner?.hasHandlers(\\\"before_provider_request\\\")) {\\n\\t\\t\\t\\treturn payload;\\n\\t\\t\\t}\\n\\t\\t\\treturn runner.emitBeforeProviderRequest(payload);\\n\\t\\t},\\n\\t\\tsessionId: sessionManager.getSessionId(),\\n\\t\\ttransformContext: async (messages) => {\\n\\t\\t\\tconst runner = extensionRunnerRef.current;\\n\\t\\t\\tif (!runner) return messages;\\n\\t\\t\\treturn runner.emitContext(messages);\\n\\t\\t},\\n\\t\\tsteeringMode: settingsManager.getSteeringMode(),\\n\\t\\tfollowUpMode: settingsManager.getFollowUpMode(),\\n\\t\\ttransport: settingsManager.getTransport(),\\n\\t\\tthinkingBudgets: settingsManager.getThinkingBudgets(),\\n\\t\\tmaxRetryDelayMs: settingsManager.getRetrySettings().maxDelayMs,\\n\\t});\\n\\n\\t// Restore messages if session has existing data\\n\\tif (hasExistingSession) {\\n\\t\\tagent.replaceMessages(existingSession.messages);\\n\\t\\tif (!hasThinkingEntry) {\\n\\t\\t\\tsessionManager.appendThinkingLevelChange(thinkingLevel);\\n\\t\\t}\\n\\t} else {\\n\\t\\t// Save initial model and thinking level for new sessions so they can be restored on resume\\n\\t\\tif (model) {\\n\\t\\t\\tsessionManager.appendModelChange(model.provider, model.id);\\n\\t\\t}\\n\\t\\tsessionManager.[REDACTED_OPAQUE](thinkingLevel);\\n\\t}\\n\\n\\tconst session = new AgentSession({\\n\\t\\tagent,\\n\\t\\tsessionManager,\\n\\t\\tsettingsManager,\\n\\t\\tcwd,\\n\\t\\tscopedModels: options.scopedModels,\\n\\t\\tresourceLoader,\\n\\t\\tcustomTools: options.customTools,\\n\\t\\tmodelRegistry,\\n\\t\\tinitialActiveToolNames,\\n\\t\\textensionRunnerRef,\\n\\t});\\n\\tconst extensionsResult = resourceLoader.getExtensions();\\n\\n\\treturn {\\n\\t\\tsession,\\n\\t\\textensionsResult,\\n\\t\\tmodelFallbackMessage,\\n\\t};\\n}\\n\"]}\n","truncated":true,"truncatedBy":"bytes","totalLines":8,"totalBytes":101045,"outputLines":5,"outputBytes":20780,"lastLinePartial":false,"firstLineExceedsLimit":false,"maxLines":2000,"maxBytes":51200},"fullOutputPath":"/var/folders/ck/g15y7fkx3m3bm2nxv8cj8wqr0000gn/T/[REDACTED_OPAQUE].log"},"isError":false,"timestamp":1774713468101}}
{"type":"message","id":"739d06a8","parentId":"1190570f","timestamp":"2026-03-28T15:57:51.610Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"package.json"},"partialJson":"{\"path\":\"package.json\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":8583,"output":109,"cacheRead":69376,"cacheWrite":0,"totalTokens":78068,"cost":{"input":0.0214575,"output":0.001635,"cacheRead":0.017344,"cacheWrite":0,"total":0.0404365}},"stopReason":"toolUse","timestamp":1774713468103,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"0b96d948","parentId":"739d06a8","timestamp":"2026-03-28T15:57:51.623Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"{\n  \"name\": \"pi-share-redacted-gist\",\n  \"version\": \"0.5.0\",\n  \"description\": \"Pi package: publish a redacted pi session as a public GitHub gist\",\n  \"type\": \"module\",\n  \"license\": \"MIT\",\n  \"keywords\": [\n    \"pi-package\",\n    \"pi\",\n    \"pi-extension\",\n    \"gist\",\n    \"github\",\n    \"redaction\",\n    \"openagentsessions\"\n  ],\n  \"files\": [\n    \"extensions/*.ts\",\n    \"!extensions/*.test.ts\",\n    \"README.md\",\n    \"LICENSE\",\n    \"CHANGELOG.md\"\n  ],\n  \"scripts\": {\n    \"test\": \"bun test\",\n    \"check\": \"bun test && bun -e \\\"import('./extensions/share-redacted-gist.ts').then(() => console.log('ok'))\\\"\",\n    \"pack:check\": \"npm pack --dry-run\"\n  },\n  \"peerDependencies\": {\n    \"@mariozechner/pi-coding-agent\": \"*\"\n  },\n  \"publishConfig\": {\n    \"access\": \"public\"\n  },\n  \"pi\": {\n    \"extensions\": [\n      \"./extensions\"\n    ]\n  },\n  \"repository\": {\n    \"type\": \"git\",\n    \"url\": \"git+https://github.com/lukaskawerau/pi-share-redacted-gist.git\"\n  },\n  \"homepage\": \"https://github.com/lukaskawerau/pi-share-redacted-gist#readme\",\n  \"bugs\": {\n    \"url\": \"https://github.com/lukaskawerau/pi-share-redacted-gist/issues\"\n  },\n  \"dependencies\": {\n    \"@huggingface/hub\": \"^2.11.0\"\n  }\n}\n"}],"isError":false,"timestamp":1774713471622}}
{"type":"message","id":"ec504232","parentId":"0b96d948","timestamp":"2026-03-28T15:59:23.245Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Designing modules and functions**\n\nI noticed something odd with the installation of `@mariozechner/pi-coding-agent@0.63.1`. It feels off. I might need to explore creating types for the ctx object since it seems to be repeating. It’s probably worth keeping this in mind as I think about how to design modules and functions moving forward. There’s a lot to consider here, but I’m determined to get this right!\n\n**Considering configuration flags**\n\nI'm contemplating how to handle the configuration for publishers. Should I set the `enabled` flags strictly to false by default, or maybe true for `gist`? It could be simpler if `gist` is enabled unless it's explicitly set to false in the config. For `huggingface`, I think it should be enabled if it's not false and if there are datasets. This approach keeps things consistent while looking to structure the configuration object properly.\n\n**Considering dataset access**\n\nI'm thinking about whether I need to create a list of datasets from the API since the user requested a preconfigured one. I could validate access using `checkRepoAccess` or `datasetInfo` before uploading anything. It's possible to list datasets via the API to confirm token access, showing only the ones available. If a dataset is missing, I might need to create it. Also, the visibility for the preconfigured list could default to public.\n\n**Publishing results efficiently**\n\nI’m thinking about how to manage the publishing of results with `createRepo`. I should probably notify someone about this. I’ll have a type definition for `PublishResult` to differentiate between a Gist and a Hugging Face dataset. When I build the final message, it should outline what’s been published, including the links. \n\nFor the Hugging Face dataset, I wonder if I should simply ask the user to paste that URL or the dataset folder URL. The instructions on openagentsessions seem to indicate pasting the gist URL, but what if they accept any URL? I'll need to clarify that.\n\n**Refining submission messages**\n\nThe user has asked about Hugging Face, but I'm not entirely sure it's necessary for the openagentsessions submission. To avoid confusion, I think the final message should clarify things. If there's a Gist, I’ll say, \"Submit at ... and paste the gist URL.\" If it's only Hugging Face, then the message can be, \"Hugging Face dataset uploaded: ...\". \n\nI wonder if I should mention openagentsessions at all. It might be safer to keep the message generic as \"Published: ...\". I realize I’ll need to adjust the tests to reflect this change. The final message should depend on what’s available: if just the Gist, I keep it unchanged; if just Hugging Face, I’ll include that URL; if both, I'll list both sources. It’s essential to avoid misleading users. I think I’ll keep the `buildSubmissionMessage` but will consider renaming it to `buildPublicationMessage` instead for clarity.\n\n**Crafting commit messages**\n\nI’m considering how to structure the commit messages for both Gist and Hugging Face. For the Gist, I want to make sure to use a clear description. For Hugging Face, the commit title could be something like `Add redacted session ${sessionFilename}`. The commit description might be `Source session: [REDACTED_SECRET]}. Published via pi-share-redacted-gist.` I could also include the additional description if it's provided. It's essential to keep these messages clear and concise!\n\n**Evaluating package updates**\n\nI’m considering whether to update the package version and CHANGELOG, but I’m not sure if it’s necessary since the user didn’t ask for versioning specifically. The changelog currently uses versions with the same date, so maybe adding “## Unreleased” could work. However, since there might be code changes soon, it seems wise to consider incrementing to 0.6.0. I could also focus on updating tests for certain functions, which might require handling the agent directory path.\n\n**Considering helper functions and testing**\n\nI’m thinking about exporting a small helper function called `[REDACTED_OPAQUE_BASE64]` from the auth module and testing it out. There's also a bug regression to address, so adding tests that fit this context seems beneficial. I’m aware of a potential compile issue involving `Blob` in bun/node, but it looks like it's available. I might also need to import functions from `@huggingface/hub` to make this work smoothly.\n\n**Considering configuration details**\n\nI’m thinking about the need to export parseArgs for tests, possibly in the main function. I might want to work on merging configuration logic and loading both global and project configs. If parsing fails, maybe I should include a warning notification. I also noticed that `loadPublishConfig` returns an errors array, which the main can use to notify warnings. I'll need to verify the issue with `getAgentDir` import compilation and inspect type definitions for the package root exports.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Designing modules and functions**\\n\\nI noticed something odd with the installation of `@mariozechner/pi-coding-agent@0.63.1`. It feels off. I might need to explore creating types for the ctx object since it seems to be repeating. It’s probably worth keeping this in mind as I think about how to design modules and functions moving forward. There’s a lot to consider here, but I’m determined to get this right!\"},{\"type\":\"summary_text\",\"text\":\"**Considering configuration flags**\\n\\nI'm contemplating how to handle the configuration for publishers. Should I set the `enabled` flags strictly to false by default, or maybe true for `gist`? It could be simpler if `gist` is enabled unless it's explicitly set to false in the config. For `huggingface`, I think it should be enabled if it's not false and if there are datasets. This approach keeps things consistent while looking to structure the configuration object properly.\"},{\"type\":\"summary_text\",\"text\":\"**Considering dataset access**\\n\\nI'm thinking about whether I need to create a list of datasets from the API since the user requested a preconfigured one. I could validate access using `checkRepoAccess` or `datasetInfo` before uploading anything. It's possible to list datasets via the API to confirm token access, showing only the ones available. If a dataset is missing, I might need to create it. Also, the visibility for the preconfigured list could default to public.\"},{\"type\":\"summary_text\",\"text\":\"**Publishing results efficiently**\\n\\nI’m thinking about how to manage the publishing of results with `createRepo`. I should probably notify someone about this. I’ll have a type definition for `PublishResult` to differentiate between a Gist and a Hugging Face dataset. When I build the final message, it should outline what’s been published, including the links. \\n\\nFor the Hugging Face dataset, I wonder if I should simply ask the user to paste that URL or the dataset folder URL. The instructions on openagentsessions seem to indicate pasting the gist URL, but what if they accept any URL? I'll need to clarify that.\"},{\"type\":\"summary_text\",\"text\":\"**Refining submission messages**\\n\\nThe user has asked about Hugging Face, but I'm not entirely sure it's necessary for the openagentsessions submission. To avoid confusion, I think the final message should clarify things. If there's a Gist, I’ll say, \\\"Submit at ... and paste the gist URL.\\\" If it's only Hugging Face, then the message can be, \\\"Hugging Face dataset uploaded: ...\\\". \\n\\nI wonder if I should mention openagentsessions at all. It might be safer to keep the message generic as \\\"Published: ...\\\". I realize I’ll need to adjust the tests to reflect this change. The final message should depend on what’s available: if just the Gist, I keep it unchanged; if just Hugging Face, I’ll include that URL; if both, I'll list both sources. It’s essential to avoid misleading users. I think I’ll keep the `buildSubmissionMessage` but will consider renaming it to `buildPublicationMessage` instead for clarity.\"},{\"type\":\"summary_text\",\"text\":\"**Crafting commit messages**\\n\\nI’m considering how to structure the commit messages for both Gist and Hugging Face. For the Gist, I want to make sure to use a clear description. For Hugging Face, the commit title could be something like `Add redacted session ${sessionFilename}`. The commit description might be `Source session: [REDACTED_SECRET]}. Published via pi-share-redacted-gist.` I could also include the additional description if it's provided. It's essential to keep these messages clear and concise!\"},{\"type\":\"summary_text\",\"text\":\"**Evaluating package updates**\\n\\nI’m considering whether to update the package version and CHANGELOG, but I’m not sure if it’s necessary since the user didn’t ask for versioning specifically. The changelog currently uses versions with the same date, so maybe adding “## Unreleased” could work. However, since there might be code changes soon, it seems wise to consider incrementing to 0.6.0. I could also focus on updating tests for certain functions, which might require handling the agent directory path.\"},{\"type\":\"summary_text\",\"text\":\"**Considering helper functions and testing**\\n\\nI’m thinking about exporting a small helper function called `[REDACTED_OPAQUE_BASE64]` from the auth module and testing it out. There's also a bug regression to address, so adding tests that fit this context seems beneficial. I’m aware of a potential compile issue involving `Blob` in bun/node, but it looks like it's available. I might also need to import functions from `@huggingface/hub` to make this work smoothly.\"},{\"type\":\"summary_text\",\"text\":\"**Considering configuration details**\\n\\nI’m thinking about the need to export parseArgs for tests, possibly in the main function. I might want to work on merging configuration logic and loading both global and project configs. If parsing fails, maybe I should include a warning notification. I also noticed that `loadPublishConfig` returns an errors array, which the main can use to notify warnings. I'll need to verify the issue with `getAgentDir` import compilation and inspect type definitions for the package root exports.\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"rg -n \"getAgentDir\" node_modules/@mariozechner/pi-coding-agent/dist/index.d.ts node_modules/@mariozechner/pi-coding-agent/dist/**/*.d.ts -S","timeout":20},"partialJson":"{\"command\":\"rg -n \\\"getAgentDir\\\" node_modules/@mariozechner/pi-coding-agent/dist/index.d.ts node_modules/@mariozechner/pi-coding-agent/dist/**/*.d.ts -S\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":491,"output":3782,"cacheRead":77952,"cacheWrite":0,"totalTokens":82225,"cost":{"input":0.0012275,"output":0.05673,"cacheRead":0.019488,"cacheWrite":0,"total":0.0774455}},"stopReason":"toolUse","timestamp":1774713471623,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"4777bf54","parentId":"ec504232","timestamp":"2026-03-28T15:59:23.269Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"node_modules/@mariozechner/pi-coding-agent/dist/index.d.ts:1:export { getAgentDir, VERSION } from \"./config.js\";\nnode_modules/@mariozechner/pi-coding-agent/dist/core/sdk.d.ts:77: *   agentDir: getAgentDir(),\n"}],"isError":false,"timestamp":1774713563269}}
{"type":"message","id":"27cd2d30","parentId":"4777bf54","timestamp":"2026-03-28T16:00:49.315Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering code adjustments**\n\nAlright, I think I need to read through current share-redacted-gist.ts once more. Since it looks like we’re going to rewrite large sections, it might be easier to just write the entire file. For the existing file, a complete rewrite is allowed, so that seems like a solid plan. I should also check the .npmignore and make sure the file patterns are correct. Extensions/*.ts are included, which means new modules will be fine while excluding tests.\n\n**Drafting module code**\n\nI’m starting to draft the modules, beginning with `publish-config.ts`. I’m importing necessary libraries and defining the `PublishConfig` type. I’ll create a function called `loadPublishConfig` to load and merge configuration from different sources. \n\nI think I need to preserve arrays when merging nested objects. For example, I can combine global and project publishers while ensuring that configurations like `gist` and `huggingface` are handled correctly. I also want to consider a function to normalize datasets and possibly separate out dataset retrieval for clarity. \n\nMoving to `huggingface-auth.ts`, I’ll make use of `execFile` to manage shell commands effectively.\n\n**Exploring child process promises**\n\nI just realized that in Node.js version 22, the `node:child_process` module supports promises! So I can simplify my code by importing `execFile` from `node:child_process` and using `promisify` from `node:util`. This means I can handle shell commands more effectively without needing to manage callbacks manually. It’s great to know that I can leverage this functionality to make my code cleaner and more modern. I'll definitely use this in my implementation!\n\n**Inspecting main imports**\n\nI need to check whether the main import type is using a dynamic import for review-ui. It's important to be thorough here. I want to ensure everything is set up correctly. I'll carefully draft the main file with this in mind. I feel that taking the time to inspect it properly now will save me from possible issues later. Let's make sure I’m not overlooking anything essential in this step!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering code adjustments**\\n\\nAlright, I think I need to read through current share-redacted-gist.ts once more. Since it looks like we’re going to rewrite large sections, it might be easier to just write the entire file. For the existing file, a complete rewrite is allowed, so that seems like a solid plan. I should also check the .npmignore and make sure the file patterns are correct. Extensions/*.ts are included, which means new modules will be fine while excluding tests.\"},{\"type\":\"summary_text\",\"text\":\"**Drafting module code**\\n\\nI’m starting to draft the modules, beginning with `publish-config.ts`. I’m importing necessary libraries and defining the `PublishConfig` type. I’ll create a function called `loadPublishConfig` to load and merge configuration from different sources. \\n\\nI think I need to preserve arrays when merging nested objects. For example, I can combine global and project publishers while ensuring that configurations like `gist` and `huggingface` are handled correctly. I also want to consider a function to normalize datasets and possibly separate out dataset retrieval for clarity. \\n\\nMoving to `huggingface-auth.ts`, I’ll make use of `execFile` to manage shell commands effectively.\"},{\"type\":\"summary_text\",\"text\":\"**Exploring child process promises**\\n\\nI just realized that in Node.js version 22, the `node:child_process` module supports promises! So I can simplify my code by importing `execFile` from `node:child_process` and using `promisify` from `node:util`. This means I can handle shell commands more effectively without needing to manage callbacks manually. It’s great to know that I can leverage this functionality to make my code cleaner and more modern. I'll definitely use this in my implementation!\"},{\"type\":\"summary_text\",\"text\":\"**Inspecting main imports**\\n\\nI need to check whether the main import type is using a dynamic import for review-ui. It's important to be thorough here. I want to ensure everything is set up correctly. I'll carefully draft the main file with this in mind. I feel that taking the time to inspect it properly now will save me from possible issues later. Let's make sure I’m not overlooking anything essential in this step!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"write","arguments":{"path":"extensions/publish-config.ts","content":"import { existsSync, readFileSync } from \"node:fs\";\nimport path from \"node:path\";\n\nimport { getAgentDir } from \"@mariozechner/pi-coding-agent\";\n\nexport type GistPublisherConfig = {\n\tenabled?: boolean;\n\tdescription?: string;\n};\n\nexport type HuggingFacePublisherConfig = {\n\tenabled?: boolean;\n\tdatasets?: string[];\n\tdefaultDataset?: string;\n\tvisibility?: \"public\" | \"private\";\n\tpathPrefix?: string;\n};\n\nexport type PublishConfig = {\n\tpublishers?: {\n\t\tgist?: GistPublisherConfig;\n\t\thuggingface?: HuggingFacePublisherConfig;\n\t};\n};\n\nexport type LoadedPublishConfig = {\n\tconfig: PublishConfig;\n\tloadedPaths: string[];\n\twarnings: string[];\n\tglobalPath: string;\n\tprojectPath: string;\n};\n\nconst CONFIG_FILENAME = \"pi-share-redacted-gist.json\";\n\nexport function loadPublishConfig(cwd: string): LoadedPublishConfig {\n\tconst globalPath = path.join(getAgentDir(), CONFIG_FILENAME);\n\tconst projectPath = path.join(cwd, \".pi\", CONFIG_FILENAME);\n\tconst warnings: string[] = [];\n\tconst loadedPaths: string[] = [];\n\n\tconst globalConfig = readConfigFile(globalPath, warnings, loadedPaths);\n\tconst projectConfig = readConfigFile(projectPath, warnings, loadedPaths);\n\n\treturn {\n\t\tconfig: mergePublishConfig(globalConfig, projectConfig),\n\t\tloadedPaths,\n\t\twarnings,\n\t\tglobalPath,\n\t\tprojectPath,\n\t};\n}\n\nexport function getConfiguredDatasets(config: PublishConfig): string[] {\n\tconst raw = config.publishers?.huggingface?.datasets ?? [];\n\treturn [...new Set(raw.map((entry) => entry.trim()).filter(Boolean))];\n}\n\nfunction readConfigFile(pathname: string, warnings: string[], loadedPaths: string[]): PublishConfig {\n\tif (!existsSync(pathname)) return {};\n\ttry {\n\t\tconst parsed = JSON.parse(readFileSync(pathname, \"utf8\")) as unknown;\n\t\tif (!isRecord(parsed)) {\n\t\t\twarnings.push(`Ignoring ${pathname}: expected JSON object`);\n\t\t\treturn {};\n\t\t}\n\t\tloadedPaths.push(pathname);\n\t\treturn parsed as PublishConfig;\n\t} catch (error) {\n\t\twarnings.push(`Failed reading ${pathname}: ${toErrorMessage(error)}`);\n\t\treturn {};\n\t}\n}\n\nfunction mergePublishConfig(globalConfig: PublishConfig, projectConfig: PublishConfig): PublishConfig {\n\tconst globalPublishers = globalConfig.publishers;\n\tconst projectPublishers = projectConfig.publishers;\n\tif (!globalPublishers && !projectPublishers) return {};\n\n\treturn {\n\t\tpublishers: {\n\t\t\tgist: {\n\t\t\t\t...globalPublishers?.gist,\n\t\t\t\t...projectPublishers?.gist,\n\t\t\t},\n\t\t\thuggingface: {\n\t\t\t\t...globalPublishers?.huggingface,\n\t\t\t\t...projectPublishers?.huggingface,\n\t\t\t\tdatasets: projectPublishers?.huggingface?.datasets ?? globalPublishers?.huggingface?.datasets,\n\t\t\t},\n\t\t},\n\t};\n}\n\nfunction isRecord(value: unknown): value is Record<string, unknown> {\n\treturn typeof value === \"object\" && value !== null;\n}\n\nfunction toErrorMessage(error: unknown): string {\n\tif (error instanceof Error) return error.message;\n\treturn String(error);\n}\n"},"partialJson":"{\"path\":\"extensions/publish-config.ts\",\"content\":\"import { existsSync, readFileSync } from \\\"node:fs\\\";\\nimport path from \\\"node:path\\\";\\n\\nimport { getAgentDir } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nexport type GistPublisherConfig = {\\n\\tenabled?: boolean;\\n\\tdescription?: string;\\n};\\n\\nexport type HuggingFacePublisherConfig = {\\n\\tenabled?: boolean;\\n\\tdatasets?: string[];\\n\\tdefaultDataset?: string;\\n\\tvisibility?: \\\"public\\\" | \\\"private\\\";\\n\\tpathPrefix?: string;\\n};\\n\\nexport type PublishConfig = {\\n\\tpublishers?: {\\n\\t\\tgist?: GistPublisherConfig;\\n\\t\\thuggingface?: HuggingFacePublisherConfig;\\n\\t};\\n};\\n\\nexport type LoadedPublishConfig = {\\n\\tconfig: PublishConfig;\\n\\tloadedPaths: string[];\\n\\twarnings: string[];\\n\\tglobalPath: string;\\n\\tprojectPath: string;\\n};\\n\\nconst CONFIG_FILENAME = \\\"pi-share-redacted-gist.json\\\";\\n\\nexport function loadPublishConfig(cwd: string): LoadedPublishConfig {\\n\\tconst globalPath = path.join(getAgentDir(), CONFIG_FILENAME);\\n\\tconst projectPath = path.join(cwd, \\\".pi\\\", CONFIG_FILENAME);\\n\\tconst warnings: string[] = [];\\n\\tconst loadedPaths: string[] = [];\\n\\n\\tconst globalConfig = readConfigFile(globalPath, warnings, loadedPaths);\\n\\tconst projectConfig = readConfigFile(projectPath, warnings, loadedPaths);\\n\\n\\treturn {\\n\\t\\tconfig: mergePublishConfig(globalConfig, projectConfig),\\n\\t\\tloadedPaths,\\n\\t\\twarnings,\\n\\t\\tglobalPath,\\n\\t\\tprojectPath,\\n\\t};\\n}\\n\\nexport function getConfiguredDatasets(config: PublishConfig): string[] {\\n\\tconst raw = config.publishers?.huggingface?.datasets ?? [];\\n\\treturn [...new Set(raw.map((entry) => entry.trim()).filter(Boolean))];\\n}\\n\\nfunction readConfigFile(pathname: string, warnings: string[], loadedPaths: string[]): PublishConfig {\\n\\tif (!existsSync(pathname)) return {};\\n\\ttry {\\n\\t\\tconst parsed = JSON.parse(readFileSync(pathname, \\\"utf8\\\")) as unknown;\\n\\t\\tif (!isRecord(parsed)) {\\n\\t\\t\\twarnings.push(`Ignoring ${pathname}: expected JSON object`);\\n\\t\\t\\treturn {};\\n\\t\\t}\\n\\t\\tloadedPaths.push(pathname);\\n\\t\\treturn parsed as PublishConfig;\\n\\t} catch (error) {\\n\\t\\twarnings.push(`Failed reading ${pathname}: ${toErrorMessage(error)}`);\\n\\t\\treturn {};\\n\\t}\\n}\\n\\nfunction mergePublishConfig(globalConfig: PublishConfig, projectConfig: PublishConfig): PublishConfig {\\n\\tconst globalPublishers = globalConfig.publishers;\\n\\tconst projectPublishers = projectConfig.publishers;\\n\\tif (!globalPublishers && !projectPublishers) return {};\\n\\n\\treturn {\\n\\t\\tpublishers: {\\n\\t\\t\\tgist: {\\n\\t\\t\\t\\t...globalPublishers?.gist,\\n\\t\\t\\t\\t...projectPublishers?.gist,\\n\\t\\t\\t},\\n\\t\\t\\thuggingface: {\\n\\t\\t\\t\\t...globalPublishers?.huggingface,\\n\\t\\t\\t\\t...projectPublishers?.huggingface,\\n\\t\\t\\t\\tdatasets: projectPublishers?.huggingface?.datasets ?? globalPublishers?.huggingface?.datasets,\\n\\t\\t\\t},\\n\\t\\t},\\n\\t};\\n}\\n\\nfunction isRecord(value: unknown): value is Record<string, unknown> {\\n\\treturn typeof value === \\\"object\\\" && value !== null;\\n}\\n\\nfunction toErrorMessage(error: unknown): string {\\n\\tif (error instanceof Error) return error.message;\\n\\treturn String(error);\\n}\\n\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":247,"output":4705,"cacheRead":82048,"cacheWrite":0,"totalTokens":87000,"cost":{"input":0.0006175000000000001,"output":0.070575,"cacheRead":0.020512,"cacheWrite":0,"total":0.09170450000000001}},"stopReason":"toolUse","timestamp":1774713563270,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"7067e80d","parentId":"27cd2d30","timestamp":"2026-03-28T16:00:49.327Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"write","content":[{"type":"text","text":"Successfully wrote 2829 bytes to extensions/publish-config.ts"}],"isError":false,"timestamp":1774713649323}}
{"type":"message","id":"d9c92998","parentId":"7067e80d","timestamp":"2026-03-28T16:01:09.516Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"write","arguments":{"path":"extensions/huggingface-auth.ts","content":"import { existsSync, readFileSync } from \"node:fs\";\nimport { execFile } from \"node:child_process\";\nimport path from \"node:path\";\nimport { promisify } from \"node:util\";\n\nimport { getAgentDir } from \"@mariozechner/pi-coding-agent\";\n\nconst execFileAsync = promisify(execFile);\n\nexport type ResolvedConfiguredSecret = {\n\tvalue?: string;\n\tsource?: string;\n\terror?: string;\n};\n\nexport type [REDACTED_OPAQUE_BASE64] = {\n\ttoken?: string;\n\tsource?: string;\n\tauthPath: string;\n\terror?: string;\n};\n\nexport async function resolveHuggingFaceAccessToken(): Promise<ResolvedHuggingFaceAccessToken> {\n\tconst authPath = path.join(getAgentDir(), \"auth.json\");\n\tconst envToken = process.env.HF_TOKEN?.trim();\n\tif (envToken) {\n\t\treturn { token: [REDACTED_SECRET], source: \"HF_TOKEN\", authPath };\n\t}\n\n\tif (!existsSync(authPath)) return { authPath };\n\n\tlet parsed: unknown;\n\ttry {\n\t\tparsed = JSON.parse(readFileSync(authPath, \"utf8\"));\n\t} catch (error) {\n\t\treturn { authPath, error: `Failed reading ${authPath}: ${toErrorMessage(error)}` };\n\t}\n\n\tif (!isRecord(parsed)) {\n\t\treturn { authPath, error: `Invalid auth file: ${authPath}` };\n\t}\n\n\tconst authEntry = parsed.huggingface;\n\tif (!isRecord(authEntry)) return { authPath };\n\tif (authEntry.type !== undefined && authEntry.type !== \"api_key\") {\n\t\treturn { authPath, error: `Unsupported huggingface auth entry type: ${String(authEntry.type)}` };\n\t}\n\tif (typeof authEntry.key !== \"string\") {\n\t\treturn { authPath, error: `Invalid huggingface auth entry in ${authPath}: missing string key` };\n\t}\n\n\tconst resolved = await resolveConfiguredSecretValue(authEntry.key);\n\tif (!resolved.value) {\n\t\treturn { authPath, error: resolved.error ?? `Could not resolve huggingface token from ${authPath}` };\n\t}\n\n\treturn {\n\t\ttoken: [REDACTED_SECRET],\n\t\tsource: `${authPath} → huggingface${resolved.source ? ` (${resolved.source})` : \"\"}`,\n\t\tauthPath,\n\t};\n}\n\nexport async function resolveConfiguredSecretValue(rawValue: string): Promise<ResolvedConfiguredSecret> {\n\tconst value = rawValue.trim();\n\tif (!value) return { error: \"Secret value is empty\" };\n\tif (value.startsWith(\"!\")) {\n\t\tconst command = value.slice(1).trim();\n\t\tif (!command) return { error: \"Shell command secret value is empty\" };\n\t\ttry {\n\t\t\tconst { stdout } = await execFileAsync(\"/bin/bash\", [\"-lc\", command], { maxBuffer: 1024 * 1024 });\n\t\t\tconst output = stdout.trim();\n\t\t\tif (!output) return { error: `Secret command produced no output: ${command}` };\n\t\t\treturn { value: output, source: `shell:${command}` };\n\t\t} catch (error) {\n\t\t\treturn { error: `Secret command failed: ${toErrorMessage(error)}` };\n\t\t}\n\t}\n\tif (looksLikeEnvVarName(value)) {\n\t\tconst envValue = process.env[value]?.trim();\n\t\tif (!envValue) return { error: `Environment variable ${value} is not set` };\n\t\treturn { value: envValue, source: `env:${value}` };\n\t}\n\treturn { value, source: \"literal\" };\n}\n\nfunction looksLikeEnvVarName(value: string): boolean {\n\treturn /^[A-Z][A-Z0-9_]*$/.test(value);\n}\n\nfunction isRecord(value: unknown): value is Record<string, unknown> {\n\treturn typeof value === \"object\" && value !== null;\n}\n\nfunction toErrorMessage(error: unknown): string {\n\tif (error instanceof Error) return error.message;\n\treturn String(error);\n}\n"},"partialJson":"{\"path\":\"extensions/huggingface-auth.ts\",\"content\":\"import { existsSync, readFileSync } from \\\"node:fs\\\";\\nimport { execFile } from \\\"node:child_process\\\";\\nimport path from \\\"node:path\\\";\\nimport { promisify } from \\\"node:util\\\";\\n\\nimport { getAgentDir } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst execFileAsync = promisify(execFile);\\n\\nexport type ResolvedConfiguredSecret = {\\n\\tvalue?: string;\\n\\tsource?: string;\\n\\terror?: string;\\n};\\n\\nexport type ResolvedHuggingFaceAccessToken = {\\n\\ttoken?: string;\\n\\tsource?: string;\\n\\tauthPath: string;\\n\\terror?: string;\\n};\\n\\nexport async function resolveHuggingFaceAccessToken(): Promise<ResolvedHuggingFaceAccessToken> {\\n\\tconst authPath = path.join(getAgentDir(), \\\"auth.json\\\");\\n\\tconst envToken = process.env.HF_TOKEN?.trim();\\n\\tif (envToken) {\\n\\t\\treturn { token: [REDACTED_SECRET], source: \\\"HF_TOKEN\\\", authPath };\\n\\t}\\n\\n\\tif (!existsSync(authPath)) return { authPath };\\n\\n\\tlet parsed: unknown;\\n\\ttry {\\n\\t\\tparsed = JSON.parse(readFileSync(authPath, \\\"utf8\\\"));\\n\\t} catch (error) {\\n\\t\\treturn { authPath, error: `Failed reading ${authPath}: ${toErrorMessage(error)}` };\\n\\t}\\n\\n\\tif (!isRecord(parsed)) {\\n\\t\\treturn { authPath, error: `Invalid auth file: ${authPath}` };\\n\\t}\\n\\n\\tconst authEntry = parsed.huggingface;\\n\\tif (!isRecord(authEntry)) return { authPath };\\n\\tif (authEntry.type !== undefined && authEntry.type !== \\\"api_key\\\") {\\n\\t\\treturn { authPath, error: `Unsupported huggingface auth entry type: ${String(authEntry.type)}` };\\n\\t}\\n\\tif (typeof authEntry.key !== \\\"string\\\") {\\n\\t\\treturn { authPath, error: `Invalid huggingface auth entry in ${authPath}: missing string key` };\\n\\t}\\n\\n\\tconst resolved = await resolveConfiguredSecretValue(authEntry.key);\\n\\tif (!resolved.value) {\\n\\t\\treturn { authPath, error: resolved.error ?? `Could not resolve huggingface token from ${authPath}` };\\n\\t}\\n\\n\\treturn {\\n\\t\\ttoken: resolved.value,\\n\\t\\tsource: `${authPath} → huggingface${resolved.source ? ` (${resolved.source})` : \\\"\\\"}`,\\n\\t\\tauthPath,\\n\\t};\\n}\\n\\nexport async function resolveConfiguredSecretValue(rawValue: string): Promise<ResolvedConfiguredSecret> {\\n\\tconst value = rawValue.trim();\\n\\tif (!value) return { error: \\\"Secret value is empty\\\" };\\n\\tif (value.startsWith(\\\"!\\\")) {\\n\\t\\tconst command = value.slice(1).trim();\\n\\t\\tif (!command) return { error: \\\"Shell command secret value is empty\\\" };\\n\\t\\ttry {\\n\\t\\t\\tconst { stdout } = await execFileAsync(\\\"/bin/bash\\\", [\\\"-lc\\\", command], { maxBuffer: 1024 * 1024 });\\n\\t\\t\\tconst output = stdout.trim();\\n\\t\\t\\tif (!output) return { error: `Secret command produced no output: ${command}` };\\n\\t\\t\\treturn { value: output, source: `shell:${command}` };\\n\\t\\t} catch (error) {\\n\\t\\t\\treturn { error: `Secret command failed: ${toErrorMessage(error)}` };\\n\\t\\t}\\n\\t}\\n\\tif (looksLikeEnvVarName(value)) {\\n\\t\\tconst envValue = process.env[value]?.trim();\\n\\t\\tif (!envValue) return { error: `Environment variable ${value} is not set` };\\n\\t\\treturn { value: envValue, source: `env:${value}` };\\n\\t}\\n\\treturn { value, source: \\\"literal\\\" };\\n}\\n\\nfunction looksLikeEnvVarName(value: string): boolean {\\n\\treturn /^[A-Z][A-Z0-9_]*$/.test(value);\\n}\\n\\nfunction isRecord(value: unknown): value is Record<string, unknown> {\\n\\treturn typeof value === \\\"object\\\" && value !== null;\\n}\\n\\nfunction toErrorMessage(error: unknown): string {\\n\\tif (error instanceof Error) return error.message;\\n\\treturn String(error);\\n}\\n\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":110,"output":1041,"cacheRead":86912,"cacheWrite":0,"totalTokens":88063,"cost":{"input":0.000275,"output":0.015615,"cacheRead":0.021727999999999997,"cacheWrite":0,"total":0.037618}},"stopReason":"toolUse","timestamp":1774713649327,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"7b343bb1","parentId":"d9c92998","timestamp":"2026-03-28T16:01:09.537Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"write","content":[{"type":"text","text":"Successfully wrote 3191 bytes to extensions/huggingface-auth.ts"}],"isError":false,"timestamp":1774713669534}}
{"type":"message","id":"cdcc94d3","parentId":"7b343bb1","timestamp":"2026-03-28T16:01:43.938Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"write","arguments":{"path":"extensions/publishers.ts","content":"import { promises as fs } from \"node:fs\";\nimport os from \"node:os\";\nimport path from \"node:path\";\n\nimport { createRepo, repoExists, uploadFiles } from \"@huggingface/hub\";\nimport type { ExtensionAPI } from \"@mariozechner/pi-coding-agent\";\n\nexport type PublisherChoice = \"gist\" | \"huggingface\" | \"both\";\n\nexport type PublicationBundle = {\n\tsessionPath: string;\n\tsessionFilename: string;\n\tsessionText: string;\n\tmetadataText: string;\n\tcreatedAt: string;\n\tdescription: string;\n};\n\nexport type PublishResult =\n\t| {\n\t\t\tpublisher: \"gist\";\n\t\t\turl?: string;\n\t  }\n\t| {\n\t\t\tpublisher: \"huggingface\";\n\t\t\tdataset: string;\n\t\t\trepoUrl: string;\n\t\t\tcommitUrl?: string;\n\t\t\ttreeUrl: string;\n\t\t\tremoteDir: string;\n\t  };\n\nexport type PublishFailure = {\n\tpublisher: Exclude<PublisherChoice, \"both\">;\n\tmessage: string;\n};\n\nexport async function publishToGist(pi: ExtensionAPI, bundle: PublicationBundle): Promise<PublishResult> {\n\tconst tmpDir = path.join(os.tmpdir(), `pi-openagentsession-${Date.now()}`);\n\tconst sessionOut = path.join(tmpDir, bundle.sessionFilename);\n\tconst metadataOut = path.join(tmpDir, \"openagentsessions.json\");\n\n\tawait fs.mkdir(tmpDir, { recursive: true });\n\tawait fs.writeFile(sessionOut, bundle.sessionText, \"utf8\");\n\tawait fs.writeFile(metadataOut, bundle.metadataText, \"utf8\");\n\n\tconst gist = await pi.exec(\"gh\", [\"gist\", \"create\", sessionOut, metadataOut, \"--public\", \"--desc\", bundle.description]);\n\tif (gist.code !== 0) {\n\t\tthrow new Error(gist.stderr.trim() || gist.stdout.trim() || \"gh gist create failed\");\n\t}\n\n\treturn {\n\t\tpublisher: \"gist\",\n\t\turl: resolvePublishedGistUrl(gist.stdout, gist.stderr),\n\t};\n}\n\nexport async function publishToHuggingFace(\n\tbundle: PublicationBundle,\n\toptions: {\n\t\taccessToken: [REDACTED_SECRET];\n\t\tdataset: string;\n\t\tvisibility?: \"public\" | \"private\";\n\t\tpathPrefix?: string;\n\t},\n): Promise<PublishResult> {\n\tconst repo = { type: \"dataset\" as const, name: options.dataset };\n\tconst repoUrl = await ensureDatasetRepo(repo, options.accessToken, options.visibility);\n\tconst remoteDir = buildRemoteDir(bundle, options.pathPrefix);\n\tconst output = await uploadFiles({\n\t\trepo,\n\t\taccessToken: [REDACTED_SECRET],\n\t\tcommitTitle: `Add redacted session ${path.basename(bundle.sessionPath)}`,\n\t\tcommitDescription: bundle.description,\n\t\tfiles: [\n\t\t\t{\n\t\t\t\tpath: `${remoteDir}/${bundle.sessionFilename}`,\n\t\t\t\tcontent: new Blob([bundle.sessionText]),\n\t\t\t},\n\t\t\t{\n\t\t\t\tpath: `${remoteDir}/openagentsessions.json`,\n\t\t\t\tcontent: new Blob([bundle.metadataText]),\n\t\t\t},\n\t\t],\n\t});\n\n\treturn {\n\t\tpublisher: \"huggingface\",\n\t\tdataset: options.dataset,\n\t\trepoUrl,\n\t\tcommitUrl: output?.commit.url,\n\t\ttreeUrl: `${repoUrl}/tree/main/${encodeRepoPath(remoteDir)}`,\n\t\tremoteDir,\n\t};\n}\n\nexport function buildSubmissionMessage(results: PublishResult[], failures: PublishFailure[] = []): string {\n\tconst submitUrl = \"https://openagentsessions.org/submit\";\n\tconst gist = results.find((result) => result.publisher === \"gist\");\n\tconst huggingface = results.find((result) => result.publisher === \"huggingface\");\n\tconst lines: string[] = [];\n\n\tif (gist?.publisher === \"gist\") {\n\t\tif (gist.url) lines.push(`Gist: ${gist.url}`);\n\t\telse lines.push(\"Public gist created. Could not parse gist URL from gh output.\");\n\t}\n\tif (huggingface?.publisher === \"huggingface\") {\n\t\tlines.push(`Hugging Face dataset: ${huggingface.treeUrl}`);\n\t}\n\tif (gist?.publisher === \"gist\") {\n\t\tlines.push(`Submit at ${submitUrl} and paste the gist URL`);\n\t} else if (lines.length === 0) {\n\t\tlines.push(\"Publish completed.\");\n\t}\n\tif (failures.length > 0) {\n\t\tlines.push(`Failed: ${failures.map((failure) => `${failure.publisher}: ${failure.message}`).join(\"; \")}`);\n\t}\n\treturn lines.join(\" — \");\n}\n\nfunction buildRemoteDir(bundle: PublicationBundle, pathPrefix = \"sessions\"): string {\n\tconst baseName = path.basename(bundle.sessionFilename, path.extname(bundle.sessionFilename));\n\tconst safeBase = sanitizePathSegment(baseName) || \"session\";\n\tconst safeTimestamp = bundle.createdAt.replace(/[:.]/g, \"-\");\n\tconst prefix = pathPrefix.replace(/^\\/+|\\/+$/g, \"\") || \"sessions\";\n\treturn `${prefix}/${safeTimestamp}-${safeBase}`;\n}\n\nasync function ensureDatasetRepo(\n\trepo: { type: \"dataset\"; name: string },\n\taccessToken: [REDACTED_SECRET],\n\tvisibility: \"public\" | \"private\" = \"public\",\n): Promise<string> {\n\tif (await repoExists({ repo, accessToken })) {\n\t\treturn `https://huggingface.co/datasets/${repo.name}`;\n\t}\n\tconst created = await createRepo({\n\t\trepo,\n\t\taccessToken,\n\t\tvisibility,\n\t});\n\treturn created.repoUrl;\n}\n\nfunction sanitizePathSegment(value: string): string {\n\treturn value.replace(/[^A-Za-z0-9._-]+/g, \"-\").replace(/-{2,}/g, \"-\").replace(/^-|-$/g, \"\");\n}\n\nfunction encodeRepoPath(value: string): string {\n\treturn value.split(\"/\").map((segment) => encodeURIComponent(segment)).join(\"/\");\n}\n\nfunction resolvePublishedGistUrl(stdout: string, stderr: string): string | undefined {\n\tconst combined = `${stdout}\\n${stderr}`;\n\treturn extractGistUrl(combined) ?? extractFirstUrl(combined) ?? firstNonEmptyLine(stdout, stderr);\n}\n\nfunction extractGistUrl(text: string): string | undefined {\n\tconst match = text.match(/https?:\\/\\/gist\\.github\\.com\\/\\S+/);\n\treturn sanitizeExtractedUrl(match?.[0]);\n}\n\nfunction extractFirstUrl(text: string): string | undefined {\n\tconst match = text.match(/https?:\\/\\/\\S+/);\n\treturn sanitizeExtractedUrl(match?.[0]);\n}\n\nfunction sanitizeExtractedUrl(value: string | undefined): string | undefined {\n\treturn value?.replace(/[),.;]+$/, \"\").trim() || undefined;\n}\n\nfunction firstNonEmptyLine(...chunks: string[]): string | undefined {\n\tfor (const chunk of chunks) {\n\t\tfor (const line of chunk.split(/\\r?\\n/)) {\n\t\t\tconst trimmed = line.trim();\n\t\t\tif (trimmed) return trimmed;\n\t\t}\n\t}\n\treturn undefined;\n}\n"},"partialJson":"{\"path\":\"extensions/publishers.ts\",\"content\":\"import { promises as fs } from \\\"node:fs\\\";\\nimport os from \\\"node:os\\\";\\nimport path from \\\"node:path\\\";\\n\\nimport { createRepo, repoExists, uploadFiles } from \\\"@huggingface/hub\\\";\\nimport type { ExtensionAPI } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nexport type PublisherChoice = \\\"gist\\\" | \\\"huggingface\\\" | \\\"both\\\";\\n\\nexport type PublicationBundle = {\\n\\tsessionPath: string;\\n\\tsessionFilename: string;\\n\\tsessionText: string;\\n\\tmetadataText: string;\\n\\tcreatedAt: string;\\n\\tdescription: string;\\n};\\n\\nexport type PublishResult =\\n\\t| {\\n\\t\\t\\tpublisher: \\\"gist\\\";\\n\\t\\t\\turl?: string;\\n\\t  }\\n\\t| {\\n\\t\\t\\tpublisher: \\\"huggingface\\\";\\n\\t\\t\\tdataset: string;\\n\\t\\t\\trepoUrl: string;\\n\\t\\t\\tcommitUrl?: string;\\n\\t\\t\\ttreeUrl: string;\\n\\t\\t\\tremoteDir: string;\\n\\t  };\\n\\nexport type PublishFailure = {\\n\\tpublisher: Exclude<PublisherChoice, \\\"both\\\">;\\n\\tmessage: string;\\n};\\n\\nexport async function publishToGist(pi: ExtensionAPI, bundle: PublicationBundle): Promise<PublishResult> {\\n\\tconst tmpDir = path.join(os.tmpdir(), `pi-openagentsession-${Date.now()}`);\\n\\tconst sessionOut = path.join(tmpDir, bundle.sessionFilename);\\n\\tconst metadataOut = path.join(tmpDir, \\\"openagentsessions.json\\\");\\n\\n\\tawait fs.mkdir(tmpDir, { recursive: true });\\n\\tawait fs.writeFile(sessionOut, bundle.sessionText, \\\"utf8\\\");\\n\\tawait fs.writeFile(metadataOut, bundle.metadataText, \\\"utf8\\\");\\n\\n\\tconst gist = await pi.exec(\\\"gh\\\", [\\\"gist\\\", \\\"create\\\", sessionOut, metadataOut, \\\"--public\\\", \\\"--desc\\\", bundle.description]);\\n\\tif (gist.code !== 0) {\\n\\t\\tthrow new Error(gist.stderr.trim() || gist.stdout.trim() || \\\"gh gist create failed\\\");\\n\\t}\\n\\n\\treturn {\\n\\t\\tpublisher: \\\"gist\\\",\\n\\t\\turl: resolvePublishedGistUrl(gist.stdout, gist.stderr),\\n\\t};\\n}\\n\\nexport async function publishToHuggingFace(\\n\\tbundle: PublicationBundle,\\n\\toptions: {\\n\\t\\taccessToken: string;\\n\\t\\tdataset: string;\\n\\t\\tvisibility?: \\\"public\\\" | \\\"private\\\";\\n\\t\\tpathPrefix?: string;\\n\\t},\\n): Promise<PublishResult> {\\n\\tconst repo = { type: \\\"dataset\\\" as const, name: options.dataset };\\n\\tconst repoUrl = await ensureDatasetRepo(repo, options.accessToken, options.visibility);\\n\\tconst remoteDir = buildRemoteDir(bundle, options.pathPrefix);\\n\\tconst output = await uploadFiles({\\n\\t\\trepo,\\n\\t\\taccessToken: options.accessToken,\\n\\t\\tcommitTitle: `Add redacted session ${path.basename(bundle.sessionPath)}`,\\n\\t\\tcommitDescription: bundle.description,\\n\\t\\tfiles: [\\n\\t\\t\\t{\\n\\t\\t\\t\\tpath: `${remoteDir}/${bundle.sessionFilename}`,\\n\\t\\t\\t\\tcontent: new Blob([bundle.sessionText]),\\n\\t\\t\\t},\\n\\t\\t\\t{\\n\\t\\t\\t\\tpath: `${remoteDir}/openagentsessions.json`,\\n\\t\\t\\t\\tcontent: new Blob([bundle.metadataText]),\\n\\t\\t\\t},\\n\\t\\t],\\n\\t});\\n\\n\\treturn {\\n\\t\\tpublisher: \\\"huggingface\\\",\\n\\t\\tdataset: options.dataset,\\n\\t\\trepoUrl,\\n\\t\\tcommitUrl: output?.commit.url,\\n\\t\\ttreeUrl: `${repoUrl}/tree/main/${encodeRepoPath(remoteDir)}`,\\n\\t\\tremoteDir,\\n\\t};\\n}\\n\\nexport function buildSubmissionMessage(results: PublishResult[], failures: PublishFailure[] = []): string {\\n\\tconst submitUrl = \\\"https://openagentsessions.org/submit\\\";\\n\\tconst gist = results.find((result) => result.publisher === \\\"gist\\\");\\n\\tconst huggingface = results.find((result) => result.publisher === \\\"huggingface\\\");\\n\\tconst lines: string[] = [];\\n\\n\\tif (gist?.publisher === \\\"gist\\\") {\\n\\t\\tif (gist.url) lines.push(`Gist: ${gist.url}`);\\n\\t\\telse lines.push(\\\"Public gist created. Could not parse gist URL from gh output.\\\");\\n\\t}\\n\\tif (huggingface?.publisher === \\\"huggingface\\\") {\\n\\t\\tlines.push(`Hugging Face dataset: ${huggingface.treeUrl}`);\\n\\t}\\n\\tif (gist?.publisher === \\\"gist\\\") {\\n\\t\\tlines.push(`Submit at ${submitUrl} and paste the gist URL`);\\n\\t} else if (lines.length === 0) {\\n\\t\\tlines.push(\\\"Publish completed.\\\");\\n\\t}\\n\\tif (failures.length > 0) {\\n\\t\\tlines.push(`Failed: ${failures.map((failure) => `${failure.publisher}: ${failure.message}`).join(\\\"; \\\")}`);\\n\\t}\\n\\treturn lines.join(\\\" — \\\");\\n}\\n\\nfunction buildRemoteDir(bundle: PublicationBundle, pathPrefix = \\\"sessions\\\"): string {\\n\\tconst baseName = path.basename(bundle.sessionFilename, path.extname(bundle.sessionFilename));\\n\\tconst safeBase = sanitizePathSegment(baseName) || \\\"session\\\";\\n\\tconst safeTimestamp = bundle.createdAt.replace(/[:.]/g, \\\"-\\\");\\n\\tconst prefix = pathPrefix.replace(/^\\\\/+|\\\\/+$/g, \\\"\\\") || \\\"sessions\\\";\\n\\treturn `${prefix}/${safeTimestamp}-${safeBase}`;\\n}\\n\\nasync function ensureDatasetRepo(\\n\\trepo: { type: \\\"dataset\\\"; name: string },\\n\\taccessToken: string,\\n\\tvisibility: \\\"public\\\" | \\\"private\\\" = \\\"public\\\",\\n): Promise<string> {\\n\\tif (await repoExists({ repo, accessToken })) {\\n\\t\\treturn `https://huggingface.co/datasets/${repo.name}`;\\n\\t}\\n\\tconst created = await createRepo({\\n\\t\\trepo,\\n\\t\\taccessToken,\\n\\t\\tvisibility,\\n\\t});\\n\\treturn created.repoUrl;\\n}\\n\\nfunction sanitizePathSegment(value: string): string {\\n\\treturn value.replace(/[^A-Za-z0-9._-]+/g, \\\"-\\\").replace(/-{2,}/g, \\\"-\\\").replace(/^-|-$/g, \\\"\\\");\\n}\\n\\nfunction encodeRepoPath(value: string): string {\\n\\treturn value.split(\\\"/\\\").map((segment) => encodeURIComponent(segment)).join(\\\"/\\\");\\n}\\n\\nfunction resolvePublishedGistUrl(stdout: string, stderr: string): string | undefined {\\n\\tconst combined = `${stdout}\\\\n${stderr}`;\\n\\treturn extractGistUrl(combined) ?? extractFirstUrl(combined) ?? firstNonEmptyLine(stdout, stderr);\\n}\\n\\nfunction extractGistUrl(text: string): string | undefined {\\n\\tconst match = text.match(/https?:\\\\/\\\\/gist\\\\.github\\\\.com\\\\/\\\\S+/);\\n\\treturn sanitizeExtractedUrl(match?.[0]);\\n}\\n\\nfunction extractFirstUrl(text: string): string | undefined {\\n\\tconst match = text.match(/https?:\\\\/\\\\/\\\\S+/);\\n\\treturn sanitizeExtractedUrl(match?.[0]);\\n}\\n\\nfunction sanitizeExtractedUrl(value: string | undefined): string | undefined {\\n\\treturn value?.replace(/[),.;]+$/, \\\"\\\").trim() || undefined;\\n}\\n\\nfunction firstNonEmptyLine(...chunks: string[]): string | undefined {\\n\\tfor (const chunk of chunks) {\\n\\t\\tfor (const line of chunk.split(/\\\\r?\\\\n/)) {\\n\\t\\t\\tconst trimmed = line.trim();\\n\\t\\t\\tif (trimmed) return trimmed;\\n\\t\\t}\\n\\t}\\n\\treturn undefined;\\n}\\n\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":151,"output":1835,"cacheRead":87936,"cacheWrite":0,"totalTokens":89922,"cost":{"input":0.0003775,"output":0.027525,"cacheRead":0.021984,"cacheWrite":0,"total":0.0498865}},"stopReason":"toolUse","timestamp":1774713669537,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"d0603a47","parentId":"cdcc94d3","timestamp":"2026-03-28T16:01:43.967Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"write","content":[{"type":"text","text":"Successfully wrote 5679 bytes to extensions/publishers.ts"}],"isError":false,"timestamp":1774713703961}}
{"type":"message","id":"fc684a70","parentId":"d0603a47","timestamp":"2026-03-28T16:03:39.786Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"write","arguments":{"path":"extensions/share-redacted-gist.ts","content":"import { promises as fs } from \"node:fs\";\nimport os from \"node:os\";\nimport path from \"node:path\";\nimport { fileURLToPath, pathToFileURL } from \"node:url\";\n\nimport type { ExtensionAPI } from \"@mariozechner/pi-coding-agent\";\n\nimport { [REDACTED_OPAQUE_BASE64] } from \"./huggingface-auth\";\nimport { [REDACTED_OPAQUE], loadPublishConfig, type PublishConfig } from \"./publish-config\";\nimport { buildSubmissionMessage, publishToGist, publishToHuggingFace, type PublicationBundle, type PublisherChoice } from \"./publishers\";\nimport { redactSensitive, type RedactionStat } from \"./redaction\";\n\nexport { buildSubmissionMessage } from \"./publishers\";\n\ntype ShareArgs = {\n\tsessionPath?: string;\n\tdescription?: string;\n\ttopic?: string;\n\tlanguage?: string;\n\ttags?: string;\n\tdataset?: string;\n\tpublisher?: PublisherChoice;\n\tyes: boolean;\n\tnoReview: boolean;\n};\n\ntype OpenAgentSessionsMetadata = {\n\tschema_version: \"1.0\";\n\tlicense: \"CC0-1.0\";\n\tconsent_confirmed: true;\n\tredaction_done: true;\n\tcreated_at: string;\n\tsession: {\n\t\tagent: \"pi-coding-agent\";\n\t\tmodel: string;\n\t\tlanguage: string;\n\t\ttopic: string;\n\t};\n\ttags: string[];\n\tredaction_stats: RedactionStat[];\n};\n\nconst COMMAND_NAME = \"share-redacted\";\n\nexport default function shareRedactedGist(pi: ExtensionAPI) {\n\tpi.registerCommand(COMMAND_NAME, {\n\t\tdescription: \"Publish redacted pi session to GitHub gist and/or Hugging Face dataset\",\n\t\thandler: async (rawArgs, ctx) => {\n\t\t\tconst args = parseArgs(rawArgs);\n\t\t\tif (args instanceof Error) {\n\t\t\t\tctx.ui.notify(args.message, \"error\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tconst publishConfig = loadPublishConfig(ctx.cwd);\n\t\t\tfor (const warning of publishConfig.warnings) {\n\t\t\t\tctx.ui.notify(warning, \"warning\");\n\t\t\t}\n\n\t\t\tconst sessionPath = args.sessionPath\n\t\t\t\t? resolvePath(ctx.cwd, args.sessionPath)\n\t\t\t\t: (ctx.sessionManager.getSessionFile() ?? undefined);\n\t\t\tif (!sessionPath) {\n\t\t\t\tctx.ui.notify(\"No persisted session file. Pass --session @/path/to/session.jsonl\", \"error\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tlet rawSession = \"\";\n\t\t\ttry {\n\t\t\t\trawSession = await fs.readFile(sessionPath, \"utf8\");\n\t\t\t} catch (error) {\n\t\t\t\tctx.ui.notify(`Failed reading session file: ${toErrorMessage(error)}`, \"error\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tconst { text: redactedSession, stats } = redactSensitive(rawSession, {\n\t\t\t\tcwd: ctx.cwd,\n\t\t\t\thomeDir: os.homedir(),\n\t\t\t\tusernameCandidates: collectUsernames(),\n\t\t\t});\n\n\t\t\tlet finalSessionText = redactedSession;\n\t\t\tif (ctx.hasUI && !args.noReview) {\n\t\t\t\tconst { reviewRedactions } = await importLocalModule<{ reviewRedactions: typeof import(\"./review-ui\").reviewRedactions }>(\"review-ui.ts\");\n\t\t\t\tconst reviewed = await reviewRedactions(ctx, redactedSession);\n\t\t\t\tif (!reviewed) {\n\t\t\t\t\tctx.ui.notify(\"Cancelled\", \"info\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\tfinalSessionText = reviewed.text;\n\t\t\t\tif (reviewed.manualRuleCount > 0) {\n\t\t\t\t\tctx.ui.notify(\n\t\t\t\t\t\t`Review applied ${reviewed.manualRuleCount} manual redaction rule(s); ${reviewed.remainingCandidates} suspicious value(s) left`,\n\t\t\t\t\t\t\"info\",\n\t\t\t\t\t);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tconst consentConfirmed = await confirmAttestation(ctx, args.yes, sessionPath, stats);\n\t\t\tif (!consentConfirmed) {\n\t\t\t\tctx.ui.notify(\"Attestation not confirmed. Stopped.\", \"warning\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tconst modelHint = extractModelFromSession(rawSession) ?? extractCurrentModel(ctx.model) ?? \"unknown\";\n\t\t\tconst language = await resolveField(ctx, args.language, \"Language\", \"Session language\", \"typescript\");\n\t\t\tif (!language) return;\n\t\t\tconst topic = await resolveField(ctx, args.topic, \"Topic\", \"Session topic\", \"general coding task\");\n\t\t\tif (!topic) return;\n\t\t\tconst tags = await resolveTags(ctx, args.tags, topic);\n\t\t\tif (!tags) return;\n\n\t\t\tconst metadata: OpenAgentSessionsMetadata = {\n\t\t\t\tschema_version: \"1.0\",\n\t\t\t\tlicense: \"CC0-1.0\",\n\t\t\t\tconsent_confirmed: true,\n\t\t\t\tredaction_done: true,\n\t\t\t\tcreated_at: isoTimestamp(),\n\t\t\t\tsession: {\n\t\t\t\t\tagent: \"pi-coding-agent\",\n\t\t\t\t\tmodel: modelHint,\n\t\t\t\t\tlanguage,\n\t\t\t\t\ttopic,\n\t\t\t\t},\n\t\t\t\ttags,\n\t\t\t\tredaction_stats: stats,\n\t\t\t};\n\n\t\t\tconst publisher = await resolvePublisherChoice(ctx, args, publishConfig.config);\n\t\t\tif (!publisher) return;\n\n\t\t\tlet huggingFaceDataset: string | undefined;\n\t\t\tlet huggingFaceToken: string | undefined;\n\t\t\tif (publisher === \"huggingface\" || publisher === \"both\") {\n\t\t\t\thuggingFaceDataset = await resolveHuggingFaceDataset(ctx, args, publishConfig.config);\n\t\t\t\tif (!huggingFaceDataset) {\n\t\t\t\t\tctx.ui.notify(\"No Hugging Face dataset selected.\", \"error\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\tconst auth = [REDACTED_SECRET] [REDACTED_OPAQUE_BASE64]();\n\t\t\t\tif (!auth.token) {\n\t\t\t\t\tctx.ui.notify([REDACTED_OPAQUE_BASE64](auth.authPath, auth.error), \"error\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\thuggingFaceToken = auth.token;\n\t\t\t}\n\n\t\t\tconst description = args.description ?? publishConfig.config.publishers?.gist?.description ?? \"Open agent session (CC0)\";\n\t\t\tconst bundle: PublicationBundle = {\n\t\t\t\tsessionPath,\n\t\t\t\tsessionFilename: redactedSessionFilename(sessionPath),\n\t\t\t\tsessionText: finalSessionText,\n\t\t\t\tmetadataText: `${JSON.stringify(metadata, null, 2)}\\n`,\n\t\t\t\tcreatedAt: metadata.created_at,\n\t\t\t\tdescription,\n\t\t\t};\n\n\t\t\tconst results = [];\n\t\t\tconst failures = [];\n\n\t\t\tif (publisher === \"gist\" || publisher === \"both\") {\n\t\t\t\ttry {\n\t\t\t\t\tresults.push(await publishToGist(pi, bundle));\n\t\t\t\t} catch (error) {\n\t\t\t\t\tfailures.push({ publisher: \"gist\" as const, message: toErrorMessage(error) });\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif ((publisher === \"huggingface\" || publisher === \"both\") && huggingFaceDataset && huggingFaceToken) {\n\t\t\t\ttry {\n\t\t\t\t\tresults.push(\n\t\t\t\t\t\tawait publishToHuggingFace(bundle, {\n\t\t\t\t\t\t\taccessToken: [REDACTED_SECRET],\n\t\t\t\t\t\t\tdataset: huggingFaceDataset,\n\t\t\t\t\t\t\tvisibility: publishConfig.config.publishers?.huggingface?.visibility,\n\t\t\t\t\t\t\tpathPrefix: publishConfig.config.publishers?.huggingface?.pathPrefix,\n\t\t\t\t\t\t}),\n\t\t\t\t\t);\n\t\t\t\t} catch (error) {\n\t\t\t\t\tfailures.push({ publisher: \"huggingface\" as const, message: toErrorMessage(error) });\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (results.length === 0) {\n\t\t\t\tctx.ui.notify(buildSubmissionMessage(results, failures), \"error\");\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tctx.ui.notify(buildSubmissionMessage(results, failures), failures.length > 0 ? \"warning\" : \"info\");\n\t\t},\n\t});\n}\n\nfunction parseArgs(raw: string): ShareArgs | Error {\n\tconst tokens = tokenizeArgs(raw.trim());\n\tconst args: ShareArgs = { yes: false, noReview: false };\n\n\tfor (let i = 0; i < tokens.length; i++) {\n\t\tconst token = [REDACTED_SECRET]]!;\n\t\tif (token === \"--help\") {\n\t\t\treturn new Error(\n\t\t\t\t\"Usage: /share-redacted [--session @path] [--desc \\\"text\\\"] [--topic \\\"text\\\"] [--language ts] [--tags a,b] [--publisher gist|huggingface|both] [--dataset owner/name] [--no-review] [--yes]\",\n\t\t\t);\n\t\t}\n\t\tif (token === \"--yes\") {\n\t\t\targs.yes = true;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--no-review\") {\n\t\t\targs.noReview = true;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--session\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(\"Missing value for --session\");\n\t\t\targs.sessionPath = stripAtPrefix(value);\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--desc\" || token === \"--description\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(`Missing value for ${token}`);\n\t\t\targs.description = value;\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--topic\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(\"Missing value for --topic\");\n\t\t\targs.topic = value;\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--language\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(\"Missing value for --language\");\n\t\t\targs.language = value;\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--tags\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(\"Missing value for --tags\");\n\t\t\targs.tags = value;\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--dataset\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(\"Missing value for --dataset\");\n\t\t\targs.dataset = value.trim();\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token === \"--publisher\" || token === \"--target\") {\n\t\t\tconst value = tokens[i + 1];\n\t\t\tif (!value) return new Error(`Missing value for ${token}`);\n\t\t\tconst publisher = [REDACTED_OPAQUE](value);\n\t\t\tif (!publisher) return new Error(`Invalid publisher: ${value}`);\n\t\t\targs.publisher = publisher;\n\t\t\ti++;\n\t\t\tcontinue;\n\t\t}\n\t\tif (token.startsWith(\"--\")) return new Error(`Unknown flag: ${token}`);\n\t\tif (!args.sessionPath) {\n\t\t\targs.sessionPath = stripAtPrefix(token);\n\t\t\tcontinue;\n\t\t}\n\t\treturn new Error(`Unexpected argument: ${token}`);\n\t}\n\n\treturn args;\n}\n\nasync function [REDACTED_OPAQUE](\n\tctx: { hasUI: boolean; ui: { select: (title: string, options: string[]) => Promise<string | undefined>; notify: (message: string, level: \"info\" | \"warning\" | \"error\") => void } },\n\targs: ShareArgs,\n\tconfig: PublishConfig,\n): Promise<PublisherChoice | undefined> {\n\tif (args.publisher) return args.publisher;\n\n\tconst gistEnabled = config.publishers?.gist?.enabled !== false;\n\tconst huggingFaceEnabled = config.publishers?.huggingface?.enabled !== false && (getConfiguredDatasets(config).length > 0 || !!args.dataset);\n\tconst available: PublisherChoice[] = [];\n\tif (gistEnabled) available.push(\"gist\");\n\tif (huggingFaceEnabled) available.push(\"huggingface\");\n\n\tif (available.length === 0) {\n\t\tctx.ui.notify(\"No publishers configured. Enable gist and/or configure Hugging Face datasets.\", \"error\");\n\t\treturn undefined;\n\t}\n\tif (available.length === 1) return available[0];\n\tif (!ctx.hasUI) {\n\t\tctx.ui.notify(\"Multiple publishers available. Pass --publisher gist|huggingface|both.\", \"error\");\n\t\treturn undefined;\n\t}\n\n\tconst selection = await ctx.ui.select(\"Publish to\", [\"GitHub gist\", \"Hugging Face dataset\", \"Both\"]);\n\tif (selection === undefined) return undefined;\n\tif (selection === \"GitHub gist\") return \"gist\";\n\tif (selection === \"Hugging Face dataset\") return \"huggingface\";\n\treturn \"both\";\n}\n\nasync function resolveHuggingFaceDataset(\n\tctx: { hasUI: boolean; ui: { select: (title: string, options: string[]) => Promise<string | undefined> } },\n\targs: ShareArgs,\n\tconfig: PublishConfig,\n): Promise<string | undefined> {\n\tif (args.dataset?.trim()) return args.dataset.trim();\n\n\tconst datasets = getConfiguredDatasets(config);\n\tif (datasets.length === 0) return undefined;\n\tif (datasets.length === 1) return datasets[0];\n\tif (!ctx.hasUI) return config.publishers?.huggingface?.defaultDataset?.trim() || undefined;\n\n\tconst defaultDataset = config.publishers?.huggingface?.defaultDataset?.trim();\n\tconst options = defaultDataset && datasets.includes(defaultDataset)\n\t\t? [defaultDataset, ...datasets.filter((dataset) => dataset !== defaultDataset)]\n\t\t: datasets;\n\treturn await ctx.ui.select(\"Hugging Face dataset\", options);\n}\n\nasync function confirmAttestation(\n\tctx: { hasUI: boolean; ui: { confirm: (title: string, message: string) => Promise<boolean> } },\n\tyes: boolean,\n\tsessionPath: string,\n\tstats: RedactionStat[],\n): Promise<boolean> {\n\tif (yes) return true;\n\tif (!ctx.hasUI) return false;\n\n\tconst summary = stats.length > 0 ? stats.map((s) => `${s.label}:${s.count}`).join(\", \") : \"no pattern matches\";\n\treturn ctx.ui.confirm(\n\t\t\"Attestation required (openagentsessions)\",\n\t\t[\n\t\t\t\"I confirm all of the following:\",\n\t\t\t\"- I have rights to publish this session\",\n\t\t\t\"- secrets/private data are redacted\",\n\t\t\t\"- I intend to publish under CC0-1.0\",\n\t\t\t\"\",\n\t\t\t`Session: [REDACTED_SECRET]}`,\n\t\t\t`Redaction summary: ${summary}`,\n\t\t\t\"\",\n\t\t\t\"Continue and publish?\",\n\t\t].join(\"\\n\"),\n\t);\n}\n\nasync function resolveField(\n\tctx: { hasUI: boolean; ui: { input: (title: string, placeholder?: string) => Promise<string | undefined> } },\n\tprovided: string | undefined,\n\tlabel: string,\n\tplaceholder: string,\n\tfallback: string,\n): Promise<string | undefined> {\n\tif (provided?.trim()) return provided.trim();\n\tif (!ctx.hasUI) return fallback;\n\tconst value = await ctx.ui.input(label, placeholder);\n\tif (value === undefined) return undefined;\n\treturn value.trim() || fallback;\n}\n\nasync function resolveTags(\n\tctx: { hasUI: boolean; ui: { input: (title: string, placeholder?: string) => Promise<string | undefined> } },\n\ttagsArg: string | undefined,\n\ttopic: string,\n): Promise<string[] | undefined> {\n\tconst seed = tagsArg ?? topic;\n\tif (seed.trim()) {\n\t\tconst tags = splitTags(seed);\n\t\tif (tags.length > 0) return tags;\n\t}\n\tif (!ctx.hasUI) return [];\n\tconst typed = await ctx.ui.input(\"Tags\", \"comma-separated tags, e.g. bugfix,auth\");\n\tif (typed === undefined) return undefined;\n\treturn splitTags(typed);\n}\n\nfunction splitTags(input: string): string[] {\n\treturn [...new Set(input.split(\",\").map((part) => part.trim().toLowerCase()).filter(Boolean))];\n}\n\nfunction extractModelFromSession(rawSession: string): string | undefined {\n\tconst lines = rawSession.split(/\\r?\\n/);\n\tfor (const line of lines) {\n\t\tif (!line.trim()) continue;\n\t\tlet parsed: unknown;\n\t\ttry {\n\t\t\tparsed = JSON.parse(line);\n\t\t} catch {\n\t\t\tcontinue;\n\t\t}\n\t\tif (!isRecord(parsed) || parsed.type !== \"message\" || !isRecord(parsed.message)) continue;\n\t\tconst message = parsed.message;\n\t\tif (message.role !== \"assistant\") continue;\n\t\tconst model = typeof message.model === \"string\" ? message.model : undefined;\n\t\tconst provider = typeof message.provider === \"string\" ? message.provider : undefined;\n\t\tif (model && provider) return `${provider}/${model}`;\n\t\tif (model) return model;\n\t}\n\treturn undefined;\n}\n\nfunction extractCurrentModel(model: unknown): string | undefined {\n\tif (!isRecord(model)) return undefined;\n\tconst id = typeof model.id === \"string\" ? model.id : undefined;\n\tconst provider = typeof model.provider === \"string\" ? model.provider : undefined;\n\tif (id && provider) return `${provider}/${id}`;\n\treturn id;\n}\n\nfunction redactedSessionFilename(sessionPath: string): string {\n\tconst base = path.basename(sessionPath);\n\tif (base.endsWith(\".jsonl\")) return `${base.slice(0, -6)}.redacted.jsonl`;\n\tconst ext = path.extname(base);\n\tif (!ext) return `${base}.redacted.txt`;\n\treturn `${base.slice(0, -ext.length)}.redacted${ext}`;\n}\n\nfunction tokenizeArgs(input: string): string[] {\n\tif (!input.trim()) return [];\n\tconst tokens: string[] = [];\n\tlet current = \"\";\n\tlet quote: '\"' | \"'\" | null = null;\n\tfor (let i = 0; i < input.length; i++) {\n\t\tconst ch = input[i]!;\n\t\tif (quote) {\n\t\t\tif (ch === quote) quote = null;\n\t\t\telse current += ch;\n\t\t\tcontinue;\n\t\t}\n\t\tif (ch === '\"' || ch === \"'\") {\n\t\t\tquote = ch;\n\t\t\tcontinue;\n\t\t}\n\t\tif (/\\s/.test(ch)) {\n\t\t\tif (current) {\n\t\t\t\ttokens.push(current);\n\t\t\t\tcurrent = \"\";\n\t\t\t}\n\t\t\tcontinue;\n\t\t}\n\t\tcurrent += ch;\n\t}\n\tif (current) tokens.push(current);\n\treturn tokens;\n}\n\nfunction parsePublisherChoice(value: string): PublisherChoice | undefined {\n\tconst normalized = value.trim().toLowerCase();\n\tif (normalized === \"gist\") return \"gist\";\n\tif (normalized === \"huggingface\" || normalized === \"hf\") return \"huggingface\";\n\tif (normalized === \"both\" || normalized === \"all\") return \"both\";\n\treturn undefined;\n}\n\nfunction stripAtPrefix(value: string): string {\n\treturn value.startsWith(\"@\") ? value.slice(1) : value;\n}\n\nfunction resolvePath(cwd: string, value: string): string {\n\tconst normalized = stripAtPrefix(value);\n\treturn path.isAbsolute(normalized) ? normalized : path.resolve(cwd, normalized);\n}\n\nfunction buildHuggingFaceAuthMessage(authPath: string, detail?: string): string {\n\tconst hint = [`No Hugging Face token. Set HF_TOKEN or add {\\\"huggingface\\\":{\\\"type\\\":\\\"api_key\\\",\\\"key\\\":\\\"hf_...\\\"}} to ${authPath}.`];\n\tif (detail) hint.push(detail);\n\treturn hint.join(\" \");\n}\n\nfunction collectUsernames(): string[] {\n\tconst candidates = [path.basename(os.homedir()), process.env.USER ?? \"\", process.env.USERNAME ?? \"\"];\n\ttry {\n\t\tcandidates.unshift(os.userInfo().username);\n\t} catch {}\n\treturn [...new Set(candidates.map((entry) => entry.trim()).filter(Boolean))];\n}\n\nfunction toErrorMessage(error: unknown): string {\n\tif (error instanceof Error) return error.message;\n\treturn String(error);\n}\n\nfunction isRecord(value: unknown): value is Record<string, unknown> {\n\treturn typeof value === \"object\" && value !== null;\n}\n\nasync function importLocalModule<T>(filename: string): Promise<T> {\n\tconst currentFile = fileURLToPath(import.meta.url);\n\tconst resolvedCurrentFile = await fs.realpath(currentFile).catch(() => currentFile);\n\tconst moduleUrl = pathToFileURL(path.join(path.dirname(resolvedCurrentFile), filename)).href;\n\treturn (await import(moduleUrl)) as T;\n}\n\nfunction isoTimestamp(): string {\n\treturn new Date().toISOString().replace(/\\.\\d{3}Z$/, \"Z\");\n}\n"},"partialJson":"{\"path\":\"extensions/share-redacted-gist.ts\",\"content\":\"import { promises as fs } from \\\"node:fs\\\";\\nimport os from \\\"node:os\\\";\\nimport path from \\\"node:path\\\";\\nimport { fileURLToPath, pathToFileURL } from \\\"node:url\\\";\\n\\nimport type { ExtensionAPI } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nimport { [REDACTED_OPAQUE_BASE64] } from \\\"./huggingface-auth\\\";\\nimport { [REDACTED_OPAQUE], loadPublishConfig, type PublishConfig } from \\\"./publish-config\\\";\\nimport { buildSubmissionMessage, publishToGist, publishToHuggingFace, type PublicationBundle, type PublisherChoice } from \\\"./publishers\\\";\\nimport { redactSensitive, type RedactionStat } from \\\"./redaction\\\";\\n\\nexport { buildSubmissionMessage } from \\\"./publishers\\\";\\n\\ntype ShareArgs = {\\n\\tsessionPath?: string;\\n\\tdescription?: string;\\n\\ttopic?: string;\\n\\tlanguage?: string;\\n\\ttags?: string;\\n\\tdataset?: string;\\n\\tpublisher?: PublisherChoice;\\n\\tyes: boolean;\\n\\tnoReview: boolean;\\n};\\n\\ntype OpenAgentSessionsMetadata = {\\n\\tschema_version: \\\"1.0\\\";\\n\\tlicense: \\\"CC0-1.0\\\";\\n\\tconsent_confirmed: true;\\n\\tredaction_done: true;\\n\\tcreated_at: string;\\n\\tsession: {\\n\\t\\tagent: \\\"pi-coding-agent\\\";\\n\\t\\tmodel: string;\\n\\t\\tlanguage: string;\\n\\t\\ttopic: string;\\n\\t};\\n\\ttags: string[];\\n\\tredaction_stats: RedactionStat[];\\n};\\n\\nconst COMMAND_NAME = \\\"share-redacted\\\";\\n\\nexport default function shareRedactedGist(pi: ExtensionAPI) {\\n\\tpi.registerCommand(COMMAND_NAME, {\\n\\t\\tdescription: \\\"Publish redacted pi session to GitHub gist and/or Hugging Face dataset\\\",\\n\\t\\thandler: async (rawArgs, ctx) => {\\n\\t\\t\\tconst args = parseArgs(rawArgs);\\n\\t\\t\\tif (args instanceof Error) {\\n\\t\\t\\t\\tctx.ui.notify(args.message, \\\"error\\\");\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\n\\t\\t\\tconst publishConfig = loadPublishConfig(ctx.cwd);\\n\\t\\t\\tfor (const warning of publishConfig.warnings) {\\n\\t\\t\\t\\tctx.ui.notify(warning, \\\"warning\\\");\\n\\t\\t\\t}\\n\\n\\t\\t\\tconst sessionPath = args.sessionPath\\n\\t\\t\\t\\t? resolvePath(ctx.cwd, args.sessionPath)\\n\\t\\t\\t\\t: (ctx.sessionManager.getSessionFile() ?? undefined);\\n\\t\\t\\tif (!sessionPath) {\\n\\t\\t\\t\\tctx.ui.notify(\\\"No persisted session file. Pass --session @/path/to/session.jsonl\\\", \\\"error\\\");\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\n\\t\\t\\tlet rawSession = \\\"\\\";\\n\\t\\t\\ttry {\\n\\t\\t\\t\\trawSession = await fs.readFile(sessionPath, \\\"utf8\\\");\\n\\t\\t\\t} catch (error) {\\n\\t\\t\\t\\tctx.ui.notify(`Failed reading session file: ${toErrorMessage(error)}`, \\\"error\\\");\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\n\\t\\t\\tconst { text: redactedSession, stats } = redactSensitive(rawSession, {\\n\\t\\t\\t\\tcwd: ctx.cwd,\\n\\t\\t\\t\\thomeDir: os.homedir(),\\n\\t\\t\\t\\tusernameCandidates: collectUsernames(),\\n\\t\\t\\t});\\n\\n\\t\\t\\tlet finalSessionText = redactedSession;\\n\\t\\t\\tif (ctx.hasUI && !args.noReview) {\\n\\t\\t\\t\\tconst { reviewRedactions } = await importLocalModule<{ reviewRedactions: typeof import(\\\"./review-ui\\\").reviewRedactions }>(\\\"review-ui.ts\\\");\\n\\t\\t\\t\\tconst reviewed = await reviewRedactions(ctx, redactedSession);\\n\\t\\t\\t\\tif (!reviewed) {\\n\\t\\t\\t\\t\\tctx.ui.notify(\\\"Cancelled\\\", \\\"info\\\");\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tfinalSessionText = reviewed.text;\\n\\t\\t\\t\\tif (reviewed.manualRuleCount > 0) {\\n\\t\\t\\t\\t\\tctx.ui.notify(\\n\\t\\t\\t\\t\\t\\t`Review applied ${reviewed.manualRuleCount} manual redaction rule(s); ${reviewed.remainingCandidates} suspicious value(s) left`,\\n\\t\\t\\t\\t\\t\\t\\\"info\\\",\\n\\t\\t\\t\\t\\t);\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tconst consentConfirmed = await confirmAttestation(ctx, args.yes, sessionPath, stats);\\n\\t\\t\\tif (!consentConfirmed) {\\n\\t\\t\\t\\tctx.ui.notify(\\\"Attestation not confirmed. Stopped.\\\", \\\"warning\\\");\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\n\\t\\t\\tconst modelHint = extractModelFromSession(rawSession) ?? extractCurrentModel(ctx.model) ?? \\\"unknown\\\";\\n\\t\\t\\tconst language = await resolveField(ctx, args.language, \\\"Language\\\", \\\"Session language\\\", \\\"typescript\\\");\\n\\t\\t\\tif (!language) return;\\n\\t\\t\\tconst topic = await resolveField(ctx, args.topic, \\\"Topic\\\", \\\"Session topic\\\", \\\"general coding task\\\");\\n\\t\\t\\tif (!topic) return;\\n\\t\\t\\tconst tags = await resolveTags(ctx, args.tags, topic);\\n\\t\\t\\tif (!tags) return;\\n\\n\\t\\t\\tconst metadata: OpenAgentSessionsMetadata = {\\n\\t\\t\\t\\tschema_version: \\\"1.0\\\",\\n\\t\\t\\t\\tlicense: \\\"CC0-1.0\\\",\\n\\t\\t\\t\\tconsent_confirmed: true,\\n\\t\\t\\t\\tredaction_done: true,\\n\\t\\t\\t\\tcreated_at: isoTimestamp(),\\n\\t\\t\\t\\tsession: {\\n\\t\\t\\t\\t\\tagent: \\\"pi-coding-agent\\\",\\n\\t\\t\\t\\t\\tmodel: modelHint,\\n\\t\\t\\t\\t\\tlanguage,\\n\\t\\t\\t\\t\\ttopic,\\n\\t\\t\\t\\t},\\n\\t\\t\\t\\ttags,\\n\\t\\t\\t\\tredaction_stats: stats,\\n\\t\\t\\t};\\n\\n\\t\\t\\tconst publisher = await resolvePublisherChoice(ctx, args, publishConfig.config);\\n\\t\\t\\tif (!publisher) return;\\n\\n\\t\\t\\tlet huggingFaceDataset: string | undefined;\\n\\t\\t\\tlet huggingFaceToken: string | undefined;\\n\\t\\t\\tif (publisher === \\\"huggingface\\\" || publisher === \\\"both\\\") {\\n\\t\\t\\t\\thuggingFaceDataset = await resolveHuggingFaceDataset(ctx, args, publishConfig.config);\\n\\t\\t\\t\\tif (!huggingFaceDataset) {\\n\\t\\t\\t\\t\\tctx.ui.notify(\\\"No Hugging Face dataset selected.\\\", \\\"error\\\");\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\tconst auth = [REDACTED_SECRET] [REDACTED_OPAQUE_BASE64]();\\n\\t\\t\\t\\tif (!auth.token) {\\n\\t\\t\\t\\t\\tctx.ui.notify([REDACTED_OPAQUE_BASE64](auth.authPath, auth.error), \\\"error\\\");\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\t\\t\\t\\thuggingFaceToken = auth.token;\\n\\t\\t\\t}\\n\\n\\t\\t\\tconst description = args.description ?? publishConfig.config.publishers?.gist?.description ?? \\\"Open agent session (CC0)\\\";\\n\\t\\t\\tconst bundle: PublicationBundle = {\\n\\t\\t\\t\\tsessionPath,\\n\\t\\t\\t\\tsessionFilename: redactedSessionFilename(sessionPath),\\n\\t\\t\\t\\tsessionText: finalSessionText,\\n\\t\\t\\t\\tmetadataText: `${JSON.stringify(metadata, null, 2)}\\\\n`,\\n\\t\\t\\t\\tcreatedAt: metadata.created_at,\\n\\t\\t\\t\\tdescription,\\n\\t\\t\\t};\\n\\n\\t\\t\\tconst results = [];\\n\\t\\t\\tconst failures = [];\\n\\n\\t\\t\\tif (publisher === \\\"gist\\\" || publisher === \\\"both\\\") {\\n\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\tresults.push(await publishToGist(pi, bundle));\\n\\t\\t\\t\\t} catch (error) {\\n\\t\\t\\t\\t\\tfailures.push({ publisher: \\\"gist\\\" as const, message: toErrorMessage(error) });\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tif ((publisher === \\\"huggingface\\\" || publisher === \\\"both\\\") && huggingFaceDataset && huggingFaceToken) {\\n\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\tresults.push(\\n\\t\\t\\t\\t\\t\\tawait publishToHuggingFace(bundle, {\\n\\t\\t\\t\\t\\t\\t\\taccessToken: huggingFaceToken,\\n\\t\\t\\t\\t\\t\\t\\tdataset: huggingFaceDataset,\\n\\t\\t\\t\\t\\t\\t\\tvisibility: publishConfig.config.publishers?.huggingface?.visibility,\\n\\t\\t\\t\\t\\t\\t\\tpathPrefix: publishConfig.config.publishers?.huggingface?.pathPrefix,\\n\\t\\t\\t\\t\\t\\t}),\\n\\t\\t\\t\\t\\t);\\n\\t\\t\\t\\t} catch (error) {\\n\\t\\t\\t\\t\\tfailures.push({ publisher: \\\"huggingface\\\" as const, message: toErrorMessage(error) });\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\n\\t\\t\\tif (results.length === 0) {\\n\\t\\t\\t\\tctx.ui.notify(buildSubmissionMessage(results, failures), \\\"error\\\");\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\n\\t\\t\\tctx.ui.notify(buildSubmissionMessage(results, failures), failures.length > 0 ? \\\"warning\\\" : \\\"info\\\");\\n\\t\\t},\\n\\t});\\n}\\n\\nfunction parseArgs(raw: string): ShareArgs | Error {\\n\\tconst tokens = tokenizeArgs(raw.trim());\\n\\tconst args: ShareArgs = { yes: false, noReview: false };\\n\\n\\tfor (let i = 0; i < tokens.length; i++) {\\n\\t\\tconst token = [REDACTED_SECRET]]!;\\n\\t\\tif (token === \\\"--help\\\") {\\n\\t\\t\\treturn new Error(\\n\\t\\t\\t\\t\\\"Usage: /share-redacted [--session @path] [--desc \\\\\\\"text\\\\\\\"] [--topic \\\\\\\"text\\\\\\\"] [--language ts] [--tags a,b] [--publisher gist|huggingface|both] [--dataset owner/name] [--no-review] [--yes]\\\",\\n\\t\\t\\t);\\n\\t\\t}\\n\\t\\tif (token === \\\"--yes\\\") {\\n\\t\\t\\targs.yes = true;\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (token === \\\"--no-review\\\") {\\n\\t\\t\\targs.noReview = true;\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (token === \\\"--session\\\") {\\n\\t\\t\\tconst value = tokens[i + 1];\\n\\t\\t\\tif (!value) return new Error(\\\"Missing value for --session\\\");\\n\\t\\t\\targs.sessionPath = stripAtPrefix(value);\\n\\t\\t\\ti++;\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (token === \\\"--desc\\\" || token === \\\"--description\\\") {\\n\\t\\t\\tconst value = tokens[i + 1];\\n\\t\\t\\tif (!value) return new Error(`Missing value for ${token}`);\\n\\t\\t\\targs.description = value;\\n\\t\\t\\ti++;\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (token === \\\"--topic\\\") {\\n\\t\\t\\tconst value = tokens[i + 1];\\n\\t\\t\\tif (!value) return new Error(\\\"Missing value for --topic\\\");\\n\\t\\t\\targs.topic = value;\\n\\t\\t\\ti++;\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (token === \\\"--language\\\") {\\n\\t\\t\\tconst value = tokens[i + 1];\\n\\t\\t\\tif (!value) return new Error(\\\"Missing value for --language\\\");\\n\\t\\t\\targs.language = value;\\n\\t\\t\\ti++;\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (token === \\\"--tags\\\") {\\n\\t\\t\\tconst value = tokens[i + 1];\\n\\t\\t\\tif (!value) return new Error(\\\"Missing value for --tags\\\");\\n\\t\\t\\targs.tags = value;\\n\\t\\t\\ti++;\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (token === \\\"--dataset\\\") {\\n\\t\\t\\tconst value = tokens[i + 1];\\n\\t\\t\\tif (!value) return new Error(\\\"Missing value for --dataset\\\");\\n\\t\\t\\targs.dataset = value.trim();\\n\\t\\t\\ti++;\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (token === \\\"--publisher\\\" || token === \\\"--target\\\") {\\n\\t\\t\\tconst value = tokens[i + 1];\\n\\t\\t\\tif (!value) return new Error(`Missing value for ${token}`);\\n\\t\\t\\tconst publisher = [REDACTED_OPAQUE](value);\\n\\t\\t\\tif (!publisher) return new Error(`Invalid publisher: ${value}`);\\n\\t\\t\\targs.publisher = publisher;\\n\\t\\t\\ti++;\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (token.startsWith(\\\"--\\\")) return new Error(`Unknown flag: ${token}`);\\n\\t\\tif (!args.sessionPath) {\\n\\t\\t\\targs.sessionPath = stripAtPrefix(token);\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\treturn new Error(`Unexpected argument: ${token}`);\\n\\t}\\n\\n\\treturn args;\\n}\\n\\nasync function resolvePublisherChoice(\\n\\tctx: { hasUI: boolean; ui: { select: (title: string, options: string[]) => Promise<string | undefined>; notify: (message: string, level: \\\"info\\\" | \\\"warning\\\" | \\\"error\\\") => void } },\\n\\targs: ShareArgs,\\n\\tconfig: PublishConfig,\\n): Promise<PublisherChoice | undefined> {\\n\\tif (args.publisher) return args.publisher;\\n\\n\\tconst gistEnabled = config.publishers?.gist?.enabled !== false;\\n\\tconst huggingFaceEnabled = config.publishers?.huggingface?.enabled !== false && (getConfiguredDatasets(config).length > 0 || !!args.dataset);\\n\\tconst available: PublisherChoice[] = [];\\n\\tif (gistEnabled) available.push(\\\"gist\\\");\\n\\tif (huggingFaceEnabled) available.push(\\\"huggingface\\\");\\n\\n\\tif (available.length === 0) {\\n\\t\\tctx.ui.notify(\\\"No publishers configured. Enable gist and/or configure Hugging Face datasets.\\\", \\\"error\\\");\\n\\t\\treturn undefined;\\n\\t}\\n\\tif (available.length === 1) return available[0];\\n\\tif (!ctx.hasUI) {\\n\\t\\tctx.ui.notify(\\\"Multiple publishers available. Pass --publisher gist|huggingface|both.\\\", \\\"error\\\");\\n\\t\\treturn undefined;\\n\\t}\\n\\n\\tconst selection = await ctx.ui.select(\\\"Publish to\\\", [\\\"GitHub gist\\\", \\\"Hugging Face dataset\\\", \\\"Both\\\"]);\\n\\tif (selection === undefined) return undefined;\\n\\tif (selection === \\\"GitHub gist\\\") return \\\"gist\\\";\\n\\tif (selection === \\\"Hugging Face dataset\\\") return \\\"huggingface\\\";\\n\\treturn \\\"both\\\";\\n}\\n\\nasync function resolveHuggingFaceDataset(\\n\\tctx: { hasUI: boolean; ui: { select: (title: string, options: string[]) => Promise<string | undefined> } },\\n\\targs: ShareArgs,\\n\\tconfig: PublishConfig,\\n): Promise<string | undefined> {\\n\\tif (args.dataset?.trim()) return args.dataset.trim();\\n\\n\\tconst datasets = getConfiguredDatasets(config);\\n\\tif (datasets.length === 0) return undefined;\\n\\tif (datasets.length === 1) return datasets[0];\\n\\tif (!ctx.hasUI) return config.publishers?.huggingface?.defaultDataset?.trim() || undefined;\\n\\n\\tconst defaultDataset = config.publishers?.huggingface?.defaultDataset?.trim();\\n\\tconst options = defaultDataset && datasets.includes(defaultDataset)\\n\\t\\t? [defaultDataset, ...datasets.filter((dataset) => dataset !== defaultDataset)]\\n\\t\\t: datasets;\\n\\treturn await ctx.ui.select(\\\"Hugging Face dataset\\\", options);\\n}\\n\\nasync function confirmAttestation(\\n\\tctx: { hasUI: boolean; ui: { confirm: (title: string, message: string) => Promise<boolean> } },\\n\\tyes: boolean,\\n\\tsessionPath: string,\\n\\tstats: RedactionStat[],\\n): Promise<boolean> {\\n\\tif (yes) return true;\\n\\tif (!ctx.hasUI) return false;\\n\\n\\tconst summary = stats.length > 0 ? stats.map((s) => `${s.label}:${s.count}`).join(\\\", \\\") : \\\"no pattern matches\\\";\\n\\treturn ctx.ui.confirm(\\n\\t\\t\\\"Attestation required (openagentsessions)\\\",\\n\\t\\t[\\n\\t\\t\\t\\\"I confirm all of the following:\\\",\\n\\t\\t\\t\\\"- I have rights to publish this session\\\",\\n\\t\\t\\t\\\"- secrets/private data are redacted\\\",\\n\\t\\t\\t\\\"- I intend to publish under CC0-1.0\\\",\\n\\t\\t\\t\\\"\\\",\\n\\t\\t\\t`Session: [REDACTED_SECRET]}`,\\n\\t\\t\\t`Redaction summary: ${summary}`,\\n\\t\\t\\t\\\"\\\",\\n\\t\\t\\t\\\"Continue and publish?\\\",\\n\\t\\t].join(\\\"\\\\n\\\"),\\n\\t);\\n}\\n\\nasync function resolveField(\\n\\tctx: { hasUI: boolean; ui: { input: (title: string, placeholder?: string) => Promise<string | undefined> } },\\n\\tprovided: string | undefined,\\n\\tlabel: string,\\n\\tplaceholder: string,\\n\\tfallback: string,\\n): Promise<string | undefined> {\\n\\tif (provided?.trim()) return provided.trim();\\n\\tif (!ctx.hasUI) return fallback;\\n\\tconst value = await ctx.ui.input(label, placeholder);\\n\\tif (value === undefined) return undefined;\\n\\treturn value.trim() || fallback;\\n}\\n\\nasync function resolveTags(\\n\\tctx: { hasUI: boolean; ui: { input: (title: string, placeholder?: string) => Promise<string | undefined> } },\\n\\ttagsArg: string | undefined,\\n\\ttopic: string,\\n): Promise<string[] | undefined> {\\n\\tconst seed = tagsArg ?? topic;\\n\\tif (seed.trim()) {\\n\\t\\tconst tags = splitTags(seed);\\n\\t\\tif (tags.length > 0) return tags;\\n\\t}\\n\\tif (!ctx.hasUI) return [];\\n\\tconst typed = await ctx.ui.input(\\\"Tags\\\", \\\"comma-separated tags, e.g. bugfix,auth\\\");\\n\\tif (typed === undefined) return undefined;\\n\\treturn splitTags(typed);\\n}\\n\\nfunction splitTags(input: string): string[] {\\n\\treturn [...new Set(input.split(\\\",\\\").map((part) => part.trim().toLowerCase()).filter(Boolean))];\\n}\\n\\nfunction extractModelFromSession(rawSession: string): string | undefined {\\n\\tconst lines = rawSession.split(/\\\\r?\\\\n/);\\n\\tfor (const line of lines) {\\n\\t\\tif (!line.trim()) continue;\\n\\t\\tlet parsed: unknown;\\n\\t\\ttry {\\n\\t\\t\\tparsed = JSON.parse(line);\\n\\t\\t} catch {\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (!isRecord(parsed) || parsed.type !== \\\"message\\\" || !isRecord(parsed.message)) continue;\\n\\t\\tconst message = parsed.message;\\n\\t\\tif (message.role !== \\\"assistant\\\") continue;\\n\\t\\tconst model = typeof message.model === \\\"string\\\" ? message.model : undefined;\\n\\t\\tconst provider = typeof message.provider === \\\"string\\\" ? message.provider : undefined;\\n\\t\\tif (model && provider) return `${provider}/${model}`;\\n\\t\\tif (model) return model;\\n\\t}\\n\\treturn undefined;\\n}\\n\\nfunction extractCurrentModel(model: unknown): string | undefined {\\n\\tif (!isRecord(model)) return undefined;\\n\\tconst id = typeof model.id === \\\"string\\\" ? model.id : undefined;\\n\\tconst provider = typeof model.provider === \\\"string\\\" ? model.provider : undefined;\\n\\tif (id && provider) return `${provider}/${id}`;\\n\\treturn id;\\n}\\n\\nfunction redactedSessionFilename(sessionPath: string): string {\\n\\tconst base = path.basename(sessionPath);\\n\\tif (base.endsWith(\\\".jsonl\\\")) return `${base.slice(0, -6)}.redacted.jsonl`;\\n\\tconst ext = path.extname(base);\\n\\tif (!ext) return `${base}.redacted.txt`;\\n\\treturn `${base.slice(0, -ext.length)}.redacted${ext}`;\\n}\\n\\nfunction tokenizeArgs(input: string): string[] {\\n\\tif (!input.trim()) return [];\\n\\tconst tokens: string[] = [];\\n\\tlet current = \\\"\\\";\\n\\tlet quote: '\\\"' | \\\"'\\\" | null = null;\\n\\tfor (let i = 0; i < input.length; i++) {\\n\\t\\tconst ch = input[i]!;\\n\\t\\tif (quote) {\\n\\t\\t\\tif (ch === quote) quote = null;\\n\\t\\t\\telse current += ch;\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (ch === '\\\"' || ch === \\\"'\\\") {\\n\\t\\t\\tquote = ch;\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tif (/\\\\s/.test(ch)) {\\n\\t\\t\\tif (current) {\\n\\t\\t\\t\\ttokens.push(current);\\n\\t\\t\\t\\tcurrent = \\\"\\\";\\n\\t\\t\\t}\\n\\t\\t\\tcontinue;\\n\\t\\t}\\n\\t\\tcurrent += ch;\\n\\t}\\n\\tif (current) tokens.push(current);\\n\\treturn tokens;\\n}\\n\\nfunction parsePublisherChoice(value: string): PublisherChoice | undefined {\\n\\tconst normalized = value.trim().toLowerCase();\\n\\tif (normalized === \\\"gist\\\") return \\\"gist\\\";\\n\\tif (normalized === \\\"huggingface\\\" || normalized === \\\"hf\\\") return \\\"huggingface\\\";\\n\\tif (normalized === \\\"both\\\" || normalized === \\\"all\\\") return \\\"both\\\";\\n\\treturn undefined;\\n}\\n\\nfunction stripAtPrefix(value: string): string {\\n\\treturn value.startsWith(\\\"@\\\") ? value.slice(1) : value;\\n}\\n\\nfunction resolvePath(cwd: string, value: string): string {\\n\\tconst normalized = stripAtPrefix(value);\\n\\treturn path.isAbsolute(normalized) ? normalized : path.resolve(cwd, normalized);\\n}\\n\\nfunction buildHuggingFaceAuthMessage(authPath: string, detail?: string): string {\\n\\tconst hint = [`No Hugging Face token. Set HF_TOKEN or add {\\\\\\\"huggingface\\\\\\\":{\\\\\\\"type\\\\\\\":\\\\\\\"api_key\\\\\\\",\\\\\\\"key\\\\\\\":\\\\\\\"hf_...\\\\\\\"}} to ${authPath}.`];\\n\\tif (detail) hint.push(detail);\\n\\treturn hint.join(\\\" \\\");\\n}\\n\\nfunction collectUsernames(): string[] {\\n\\tconst candidates = [path.basename(os.homedir()), process.env.USER ?? \\\"\\\", process.env.USERNAME ?? \\\"\\\"];\\n\\ttry {\\n\\t\\tcandidates.unshift(os.userInfo().username);\\n\\t} catch {}\\n\\treturn [...new Set(candidates.map((entry) => entry.trim()).filter(Boolean))];\\n}\\n\\nfunction toErrorMessage(error: unknown): string {\\n\\tif (error instanceof Error) return error.message;\\n\\treturn String(error);\\n}\\n\\nfunction isRecord(value: unknown): value is Record<string, unknown> {\\n\\treturn typeof value === \\\"object\\\" && value !== null;\\n}\\n\\nasync function importLocalModule<T>(filename: string): Promise<T> {\\n\\tconst currentFile = fileURLToPath(import.meta.url);\\n\\tconst resolvedCurrentFile = await fs.realpath(currentFile).catch(() => currentFile);\\n\\tconst moduleUrl = pathToFileURL(path.join(path.dirname(resolvedCurrentFile), filename)).href;\\n\\treturn (await import(moduleUrl)) as T;\\n}\\n\\nfunction isoTimestamp(): string {\\n\\treturn new Date().toISOString().replace(/\\\\.\\\\d{3}Z$/, \\\"Z\\\");\\n}\\n\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":216,"output":6352,"cacheRead":89728,"cacheWrite":0,"totalTokens":96296,"cost":{"input":0.00054,"output":0.09528,"cacheRead":0.022432,"cacheWrite":0,"total":0.118252}},"stopReason":"toolUse","timestamp":1774713703968,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"141b56d9","parentId":"fc684a70","timestamp":"2026-03-28T16:03:39.814Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"write","content":[{"type":"text","text":"Successfully wrote 16337 bytes to extensions/share-redacted-gist.ts"}],"isError":false,"timestamp":1774713819805}}
{"type":"message","id":"61af32c7","parentId":"141b56d9","timestamp":"2026-03-28T16:03:54.551Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"edit","arguments":{"path":"extensions/secret-scanner.ts","edits":[{"oldText":"\t{ name: \"OpenAIDetector\" },\n\t{ name: \"GoogleApiKeyDetector\" },","newText":"\t{ name: \"OpenAIDetector\" },\n\t{ name: \"HuggingFaceTokenDetector\" },\n\t{ name: \"GoogleApiKeyDetector\" },"},{"oldText":"class GoogleApiKeyDetector extends RegexBasedSecretPlugin {\n\treadonly name = \"GoogleApiKeyDetector\";\n\treadonly secretType = \"google_api_key\";\n\tprotected readonly denylist = [/\\bAIza[0-9A-Za-z_-]{35}\\b/g] as const;\n\n\tprotected scoreFor(): number {\n\t\treturn 150;\n\t}\n}\n","newText":"class HuggingFaceTokenDetector extends RegexBasedSecretPlugin {\n\treadonly name = \"HuggingFaceTokenDetector\";\n\treadonly secretType = \"huggingface_token\";\n\tprotected readonly denylist = [/\\bhf_[A-Za-z0-9]{20,}\\b/g] as const;\n\n\tprotected placeholderFor(): string {\n\t\treturn \"[REDACTED_TOKEN]\";\n\t}\n\n\tprotected scoreFor(): number {\n\t\treturn 152;\n\t}\n}\n\nclass GoogleApiKeyDetector extends RegexBasedSecretPlugin {\n\treadonly name = \"GoogleApiKeyDetector\";\n\treadonly secretType = \"google_api_key\";\n\tprotected readonly denylist = [/\\bAIza[0-9A-Za-z_-]{35}\\b/g] as const;\n\n\tprotected scoreFor(): number {\n\t\treturn 150;\n\t}\n}\n"},{"oldText":"\tOpenAIDetector: () => new OpenAIDetector(),\n\tGoogleApiKeyDetector: () => new GoogleApiKeyDetector(),","newText":"\tOpenAIDetector: () => new OpenAIDetector(),\n\tHuggingFaceTokenDetector: () => new HuggingFaceTokenDetector(),\n\tGoogleApiKeyDetector: () => new GoogleApiKeyDetector(),"}]},"partialJson":"{\"path\":\"extensions/secret-scanner.ts\",\"edits\":[{\"oldText\":\"\\t{ name: \\\"OpenAIDetector\\\" },\\n\\t{ name: \\\"GoogleApiKeyDetector\\\" },\",\"newText\":\"\\t{ name: \\\"OpenAIDetector\\\" },\\n\\t{ name: \\\"HuggingFaceTokenDetector\\\" },\\n\\t{ name: \\\"GoogleApiKeyDetector\\\" },\"},{\"oldText\":\"class GoogleApiKeyDetector extends RegexBasedSecretPlugin {\\n\\treadonly name = \\\"GoogleApiKeyDetector\\\";\\n\\treadonly secretType = \\\"google_api_key\\\";\\n\\tprotected readonly denylist = [/\\\\bAIza[0-9A-Za-z_-]{35}\\\\b/g] as const;\\n\\n\\tprotected scoreFor(): number {\\n\\t\\treturn 150;\\n\\t}\\n}\\n\",\"newText\":\"class HuggingFaceTokenDetector extends RegexBasedSecretPlugin {\\n\\treadonly name = \\\"HuggingFaceTokenDetector\\\";\\n\\treadonly secretType = \\\"huggingface_token\\\";\\n\\tprotected readonly denylist = [/\\\\bhf_[A-Za-z0-9]{20,}\\\\b/g] as const;\\n\\n\\tprotected placeholderFor(): string {\\n\\t\\treturn \\\"[REDACTED_TOKEN]\\\";\\n\\t}\\n\\n\\tprotected scoreFor(): number {\\n\\t\\treturn 152;\\n\\t}\\n}\\n\\nclass GoogleApiKeyDetector extends RegexBasedSecretPlugin {\\n\\treadonly name = \\\"GoogleApiKeyDetector\\\";\\n\\treadonly secretType = \\\"google_api_key\\\";\\n\\tprotected readonly denylist = [/\\\\bAIza[0-9A-Za-z_-]{35}\\\\b/g] as const;\\n\\n\\tprotected scoreFor(): number {\\n\\t\\treturn 150;\\n\\t}\\n}\\n\"},{\"oldText\":\"\\tOpenAIDetector: () => new OpenAIDetector(),\\n\\tGoogleApiKeyDetector: () => new GoogleApiKeyDetector(),\",\"newText\":\"\\tOpenAIDetector: () => new OpenAIDetector(),\\n\\tHuggingFaceTokenDetector: () => new HuggingFaceTokenDetector(),\\n\\tGoogleApiKeyDetector: () => new GoogleApiKeyDetector(),\"}]}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":192,"output":625,"cacheRead":96128,"cacheWrite":0,"totalTokens":96945,"cost":{"input":0.00048000000000000007,"output":0.009375,"cacheRead":0.024031999999999998,"cacheWrite":0,"total":0.033887}},"stopReason":"toolUse","timestamp":1774713819814,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"2bfccdea","parentId":"61af32c7","timestamp":"2026-03-28T16:03:54.575Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 3 block(s) in extensions/secret-scanner.ts."}],"details":{"diff":"     ...\n  43 \t{ name: \"PrivateKeyDetector\" },\n  44 \t{ name: \"GitHubTokenDetector\" },\n  45 \t{ name: \"AwsKeyDetector\" },\n  46 \t{ name: \"OpenAIDetector\" },\n+ 47 \t{ name: \"HuggingFaceTokenDetector\" },\n  47 \t{ name: \"GoogleApiKeyDetector\" },\n  48 \t{ name: \"SlackTokenDetector\" },\n  49 \t{ name: \"JwtDetector\" },\n  50 \t{ name: \"BearerTokenDetector\" },\n     ...\n 345 \t\treturn 154;\n 346 \t}\n 347 }\n 348 \n+350 class HuggingFaceTokenDetector extends RegexBasedSecretPlugin {\n+351 \treadonly name = \"HuggingFaceTokenDetector\";\n+352 \treadonly secretType = \"huggingface_token\";\n+353 \tprotected readonly denylist = [/\\bhf_[A-Za-z0-9]{20,}\\b/g] as const;\n+354 \n+355 \tprotected placeholderFor(): string {\n+356 \t\treturn \"[REDACTED_TOKEN]\";\n+357 \t}\n+358 \n+359 \tprotected scoreFor(): number {\n+360 \t\treturn 152;\n+361 \t}\n+362 }\n+363 \n 349 class GoogleApiKeyDetector extends RegexBasedSecretPlugin {\n 350 \treadonly name = \"GoogleApiKeyDetector\";\n 351 \treadonly secretType = \"google_api_key\";\n 352 \tprotected readonly denylist = [/\\bAIza[0-9A-Za-z_-]{35}\\b/g] as const;\n     ...\n 402 \tPrivateKeyDetector: () => new PrivateKeyDetector(),\n 403 \tGitHubTokenDetector: () => new GitHubTokenDetector(),\n 404 \tAwsKeyDetector: () => new AwsKeyDetector(),\n 405 \tOpenAIDetector: () => new OpenAIDetector(),\n+421 \tHuggingFaceTokenDetector: () => new HuggingFaceTokenDetector(),\n 406 \tGoogleApiKeyDetector: () => new GoogleApiKeyDetector(),\n 407 \tSlackTokenDetector: () => new SlackTokenDetector(),\n 408 \tJwtDetector: () => new JwtDetector(),\n 409 \tBearerTokenDetector: () => new BearerTokenDetector(),\n     ...","firstChangedLine":47},"isError":false,"timestamp":1774713834574}}
{"type":"message","id":"e24b1448","parentId":"2bfccdea","timestamp":"2026-03-28T16:04:07.307Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Updating tests**\n\nI need to update the tests. It looks like the shared test is importing `buildSubmissionMessage` from the main file and then re-exporting it. I should take this opportunity to rewrite it according to the new tests. I want to make sure everything is aligned with the latest changes so it functions correctly. I’m curious about how best to implement these updates while maintaining consistency across the files. Let's get started!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Updating tests**\\n\\nI need to update the tests. It looks like the shared test is importing `buildSubmissionMessage` from the main file and then re-exporting it. I should take this opportunity to rewrite it according to the new tests. I want to make sure everything is aligned with the latest changes so it functions correctly. I’m curious about how best to implement these updates while maintaining consistency across the files. Let's get started!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","name":"write","arguments":{"path":"extensions/share-redacted-gist.test.ts","content":"import { describe, expect, test } from \"bun:test\";\n\nimport { buildSubmissionMessage } from \"./share-redacted-gist\";\n\ndescribe(\"buildSubmissionMessage\", () => {\n\ttest(\"includes gist URL in the final user-facing message\", () => {\n\t\tconst message = buildSubmissionMessage([\n\t\t\t{ publisher: \"gist\", url: \"https://gist.github.com/lukaskawerau/abcdef123456\" },\n\t\t]);\n\t\texpect(message).toContain(\"https://gist.github.com/lukaskawerau/abcdef123456\");\n\t\texpect(message).toContain(\"https://openagentsessions.org/submit\");\n\t\texpect(message).toContain(\"paste the gist URL\");\n\t});\n\n\ttest(\"includes hugging face dataset URL when published there\", () => {\n\t\tconst message = buildSubmissionMessage([\n\t\t\t{\n\t\t\t\tpublisher: \"huggingface\",\n\t\t\t\tdataset: \"lukaskawerau/pi-open-agent-sessions\",\n\t\t\t\trepoUrl: \"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions\",\n\t\t\t\ttreeUrl: \"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\",\n\t\t\t\ttremoteDir: \"sessions/demo\",\n\t\t\t},\n\t\t] as never);\n\t\texpect(message).toContain(\"Hugging Face dataset\");\n\t\texpect(message).toContain(\"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\");\n\t\texpect(message).not.toContain(\"openagentsessions.org/submit\");\n\t});\n\n\ttest(\"appends failures without hiding successful publications\", () => {\n\t\tconst message = buildSubmissionMessage(\n\t\t\t[{ publisher: \"gist\", url: \"https://gist.github.com/lukaskawerau/abcdef123456\" }],\n\t\t\t[{ publisher: \"huggingface\", message: \"401 Unauthorized\" }],\n\t\t);\n\t\texpect(message).toContain(\"https://gist.github.com/lukaskawerau/abcdef123456\");\n\t\texpect(message).toContain(\"Failed: huggingface: 401 Unauthorized\");\n\t});\n});\n"},"partialJson":"{\"path\":\"extensions/share-redacted-gist.test.ts\",\"content\":\"import { describe, expect, test } from \\\"bun:test\\\";\\n\\nimport { buildSubmissionMessage } from \\\"./share-redacted-gist\\\";\\n\\ndescribe(\\\"buildSubmissionMessage\\\", () => {\\n\\ttest(\\\"includes gist URL in the final user-facing message\\\", () => {\\n\\t\\tconst message = buildSubmissionMessage([\\n\\t\\t\\t{ publisher: \\\"gist\\\", url: \\\"https://gist.github.com/lukaskawerau/abcdef123456\\\" },\\n\\t\\t]);\\n\\t\\texpect(message).toContain(\\\"https://gist.github.com/lukaskawerau/abcdef123456\\\");\\n\\t\\texpect(message).toContain(\\\"https://openagentsessions.org/submit\\\");\\n\\t\\texpect(message).toContain(\\\"paste the gist URL\\\");\\n\\t});\\n\\n\\ttest(\\\"includes hugging face dataset URL when published there\\\", () => {\\n\\t\\tconst message = buildSubmissionMessage([\\n\\t\\t\\t{\\n\\t\\t\\t\\tpublisher: \\\"huggingface\\\",\\n\\t\\t\\t\\tdataset: \\\"lukaskawerau/pi-open-agent-sessions\\\",\\n\\t\\t\\t\\trepoUrl: \\\"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions\\\",\\n\\t\\t\\t\\ttreeUrl: \\\"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\\\",\\n\\t\\t\\t\\ttremoteDir: \\\"sessions/demo\\\",\\n\\t\\t\\t},\\n\\t\\t] as never);\\n\\t\\texpect(message).toContain(\\\"Hugging Face dataset\\\");\\n\\t\\texpect(message).toContain(\\\"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\\\");\\n\\t\\texpect(message).not.toContain(\\\"openagentsessions.org/submit\\\");\\n\\t});\\n\\n\\ttest(\\\"appends failures without hiding successful publications\\\", () => {\\n\\t\\tconst message = buildSubmissionMessage(\\n\\t\\t\\t[{ publisher: \\\"gist\\\", url: \\\"https://gist.github.com/lukaskawerau/abcdef123456\\\" }],\\n\\t\\t\\t[{ publisher: \\\"huggingface\\\", message: \\\"401 Unauthorized\\\" }],\\n\\t\\t);\\n\\t\\texpect(message).toContain(\\\"https://gist.github.com/lukaskawerau/abcdef123456\\\");\\n\\t\\texpect(message).toContain(\\\"Failed: huggingface: 401 Unauthorized\\\");\\n\\t});\\n});\\n\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":202,"output":615,"cacheRead":96768,"cacheWrite":0,"totalTokens":97585,"cost":{"input":0.000505,"output":0.009225,"cacheRead":0.024191999999999998,"cacheWrite":0,"total":0.033922}},"stopReason":"toolUse","timestamp":1774713834575,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"dac8bcb8","parentId":"e24b1448","timestamp":"2026-03-28T16:04:07.320Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","toolName":"write","content":[{"type":"text","text":"Successfully wrote 1696 bytes to extensions/share-redacted-gist.test.ts"}],"isError":false,"timestamp":1774713847319}}
{"type":"message","id":"b1733ece","parentId":"dac8bcb8","timestamp":"2026-03-28T16:04:15.733Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"edit","arguments":{"path":"extensions/share-redacted-gist.test.ts","oldText":"\t\tconst message = buildSubmissionMessage([\n\t\t\t{\n\t\t\t\tpublisher: \"huggingface\",\n\t\t\t\tdataset: \"lukaskawerau/pi-open-agent-sessions\",\n\t\t\t\trepoUrl: \"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions\",\n\t\t\t\ttreeUrl: \"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\",\n\t\t\t\ttremoteDir: \"sessions/demo\",\n\t\t\t},\n\t\t] as never);","newText":"\t\tconst message = buildSubmissionMessage([\n\t\t\t{\n\t\t\t\tpublisher: \"huggingface\",\n\t\t\t\tdataset: \"lukaskawerau/pi-open-agent-sessions\",\n\t\t\t\trepoUrl: \"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions\",\n\t\t\t\ttreeUrl: \"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\",\n\t\t\t\tremoteDir: \"sessions/demo\",\n\t\t\t},\n\t\t]);"},"partialJson":"{\"path\":\"extensions/share-redacted-gist.test.ts\",\"oldText\":\"\\t\\tconst message = buildSubmissionMessage([\\n\\t\\t\\t{\\n\\t\\t\\t\\tpublisher: \\\"huggingface\\\",\\n\\t\\t\\t\\tdataset: \\\"lukaskawerau/pi-open-agent-sessions\\\",\\n\\t\\t\\t\\trepoUrl: \\\"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions\\\",\\n\\t\\t\\t\\ttreeUrl: \\\"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\\\",\\n\\t\\t\\t\\ttremoteDir: \\\"sessions/demo\\\",\\n\\t\\t\\t},\\n\\t\\t] as never);\",\"newText\":\"\\t\\tconst message = buildSubmissionMessage([\\n\\t\\t\\t{\\n\\t\\t\\t\\tpublisher: \\\"huggingface\\\",\\n\\t\\t\\t\\tdataset: \\\"lukaskawerau/pi-open-agent-sessions\\\",\\n\\t\\t\\t\\trepoUrl: \\\"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions\\\",\\n\\t\\t\\t\\ttreeUrl: \\\"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\\\",\\n\\t\\t\\t\\tremoteDir: \\\"sessions/demo\\\",\\n\\t\\t\\t},\\n\\t\\t]);\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":202,"output":334,"cacheRead":97408,"cacheWrite":0,"totalTokens":97944,"cost":{"input":0.000505,"output":0.00501,"cacheRead":0.024352,"cacheWrite":0,"total":0.029866999999999998}},"stopReason":"toolUse","timestamp":1774713847321,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"5a34fd93","parentId":"b1733ece","timestamp":"2026-03-28T16:04:15.749Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in extensions/share-redacted-gist.test.ts."}],"details":{"diff":"    ...\n 18 \t\t\t\tpublisher: \"huggingface\",\n 19 \t\t\t\tdataset: \"lukaskawerau/pi-open-agent-sessions\",\n 20 \t\t\t\trepoUrl: \"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions\",\n 21 \t\t\t\ttreeUrl: \"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\",\n-22 \t\t\t\ttremoteDir: \"sessions/demo\",\n+22 \t\t\t\tremoteDir: \"sessions/demo\",\n 23 \t\t\t},\n-24 \t\t] as never);\n+24 \t\t]);\n 25 \t\texpect(message).toContain(\"Hugging Face dataset\");\n 26 \t\texpect(message).toContain(\"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\");\n 27 \t\texpect(message).not.toContain(\"openagentsessions.org/submit\");\n 28 \t});\n    ...","firstChangedLine":22},"isError":false,"timestamp":1774713855748}}
{"type":"message","id":"a8abbce2","parentId":"5a34fd93","timestamp":"2026-03-28T16:04:25.525Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"edit","arguments":{"path":"extensions/secret-scanner.test.ts","edits":[{"oldText":"\ttest(\"detects provider tokens before generic keyword matches\", () => {\n\t\tconst findings = scanSecrets(\"GITHUB_TOKEN=[REDACTED_TOKEN]\");\n\t\texpect(findings).toHaveLength(1);\n\t\texpect(findings[0]).toMatchObject({\n\t\t\tsecretType: \"github_token\",\n\t\t\tvalue: \"[REDACTED_TOKEN]\",\n\t\t\tplaceholder: \"[REDACTED_TOKEN]\",\n\t\t});\n\t});\n","newText":"\ttest(\"detects provider tokens before generic keyword matches\", () => {\n\t\tconst findings = scanSecrets(\"GITHUB_TOKEN=[REDACTED_TOKEN]\");\n\t\texpect(findings).toHaveLength(1);\n\t\texpect(findings[0]).toMatchObject({\n\t\t\tsecretType: \"github_token\",\n\t\t\tvalue: \"[REDACTED_TOKEN]\",\n\t\t\tplaceholder: \"[REDACTED_TOKEN]\",\n\t\t});\n\t});\n\n\ttest(\"detects hugging face tokens before keyword fallback\", () => {\n\t\tconst findings = scanSecrets(\"HF_TOKEN=[REDACTED_TOKEN]\");\n\t\texpect(findings).toHaveLength(1);\n\t\texpect(findings[0]).toMatchObject({\n\t\t\tsecretType: \"huggingface_token\",\n\t\t\tvalue: \"[REDACTED_TOKEN]\",\n\t\t\tplaceholder: \"[REDACTED_TOKEN]\",\n\t\t});\n\t});\n"}]},"partialJson":"{\"path\":\"extensions/secret-scanner.test.ts\",\"edits\":[{\"oldText\":\"\\ttest(\\\"detects provider tokens before generic keyword matches\\\", () => {\\n\\t\\tconst findings = scanSecrets(\\\"GITHUB_TOKEN=[REDACTED_TOKEN]\\\");\\n\\t\\texpect(findings).toHaveLength(1);\\n\\t\\texpect(findings[0]).toMatchObject({\\n\\t\\t\\tsecretType: \\\"github_token\\\",\\n\\t\\t\\tvalue: \\\"[REDACTED_TOKEN]\\\",\\n\\t\\t\\tplaceholder: \\\"[REDACTED_TOKEN]\\\",\\n\\t\\t});\\n\\t});\\n\",\"newText\":\"\\ttest(\\\"detects provider tokens before generic keyword matches\\\", () => {\\n\\t\\tconst findings = scanSecrets(\\\"GITHUB_TOKEN=[REDACTED_TOKEN]\\\");\\n\\t\\texpect(findings).toHaveLength(1);\\n\\t\\texpect(findings[0]).toMatchObject({\\n\\t\\t\\tsecretType: \\\"github_token\\\",\\n\\t\\t\\tvalue: \\\"[REDACTED_TOKEN]\\\",\\n\\t\\t\\tplaceholder: \\\"[REDACTED_TOKEN]\\\",\\n\\t\\t});\\n\\t});\\n\\n\\ttest(\\\"detects hugging face tokens before keyword fallback\\\", () => {\\n\\t\\tconst findings = scanSecrets(\\\"HF_TOKEN=[REDACTED_TOKEN]\\\");\\n\\t\\texpect(findings).toHaveLength(1);\\n\\t\\texpect(findings[0]).toMatchObject({\\n\\t\\t\\tsecretType: \\\"huggingface_token\\\",\\n\\t\\t\\tvalue: \\\"[REDACTED_TOKEN]\\\",\\n\\t\\t\\tplaceholder: \\\"[REDACTED_TOKEN]\\\",\\n\\t\\t});\\n\\t});\\n\"}]}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":175,"output":451,"cacheRead":97792,"cacheWrite":0,"totalTokens":98418,"cost":{"input":0.0004375,"output":0.006765,"cacheRead":0.024447999999999998,"cacheWrite":0,"total":0.0316505}},"stopReason":"toolUse","timestamp":1774713855749,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"ae5bb7a0","parentId":"a8abbce2","timestamp":"2026-03-28T16:04:25.535Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in extensions/secret-scanner.test.ts."}],"details":{"diff":"    ...\n 18 \t\t\tplaceholder: \"[REDACTED_TOKEN]\",\n 19 \t\t});\n 20 \t});\n 21 \n+22 \ttest(\"detects hugging face tokens before keyword fallback\", () => {\n+23 \t\tconst findings = scanSecrets(\"HF_TOKEN=[REDACTED_TOKEN]\");\n+24 \t\texpect(findings).toHaveLength(1);\n+25 \t\texpect(findings[0]).toMatchObject({\n+26 \t\t\tsecretType: \"huggingface_token\",\n+27 \t\t\tvalue: \"[REDACTED_TOKEN]\",\n+28 \t\t\tplaceholder: \"[REDACTED_TOKEN]\",\n+29 \t\t});\n+30 \t});\n+31 \n 22 \ttest(\"detects private key blocks\", () => {\n 23 \t\tconst findings = scanSecrets([\n 24 \t\t\t\"[REDACTED_PRIVATE_KEY]\",\n 25 \t\t\t\"[REDACTED_OPAQUE]\",\n    ...","firstChangedLine":22},"isError":false,"timestamp":1774713865535}}
{"type":"message","id":"ed59e9c0","parentId":"ae5bb7a0","timestamp":"2026-03-28T16:04:34.195Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Creating new auth tests**\n\nI see that I need to focus on developing new authentication tests. This feels important because testing is crucial in ensuring everything works as expected. I’ll need to think about different scenarios and edge cases—like how the system handles incorrect credentials or timeout situations. It’s essential to be thorough so users don’t run into issues later. Let’s get started on planning out what those tests should look like!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Creating new auth tests**\\n\\nI see that I need to focus on developing new authentication tests. This feels important because testing is crucial in ensuring everything works as expected. I’ll need to think about different scenarios and edge cases—like how the system handles incorrect credentials or timeout situations. It’s essential to be thorough so users don’t run into issues later. Let’s get started on planning out what those tests should look like!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"write","arguments":{"path":"extensions/huggingface-auth.test.ts","content":"import { afterEach, describe, expect, test } from \"bun:test\";\n\nimport { [REDACTED_OPAQUE_BASE64] } from \"./huggingface-auth\";\n\ndescribe(\"[REDACTED_OPAQUE_BASE64]\", () => {\n\tafterEach(() => {\n\t\tdelete process.env.TEST_HF_TOKEN;\n\t});\n\n\ttest(\"returns literal token values unchanged\", async () => {\n\t\tconst resolved = await resolveConfiguredSecretValue(\"[REDACTED_TOKEN]\");\n\t\texpect(resolved).toMatchObject({\n\t\t\tvalue: \"[REDACTED_TOKEN]\",\n\t\t\tsource: \"literal\",\n\t\t});\n\t});\n\n\ttest(\"resolves environment variable references\", async () => {\n\t\tprocess.env.TEST_HF_TOKEN = \"hf_env_token_value\";\n\t\tconst resolved = await resolveConfiguredSecretValue(\"TEST_HF_TOKEN\");\n\t\texpect(resolved).toMatchObject({\n\t\t\tvalue: \"hf_env_token_value\",\n\t\t\tsource: \"env:TEST_HF_TOKEN\",\n\t\t});\n\t});\n\n\ttest(\"resolves shell command references\", async () => {\n\t\tconst resolved = await resolveConfiguredSecretValue(\"!printf 'hf_shell_token'\");\n\t\texpect(resolved).toMatchObject({\n\t\t\tvalue: \"hf_shell_token\",\n\t\t\tsource: \"shell:printf 'hf_shell_token'\",\n\t\t});\n\t});\n});\n"},"partialJson":"{\"path\":\"extensions/huggingface-auth.test.ts\",\"content\":\"import { afterEach, describe, expect, test } from \\\"bun:test\\\";\\n\\nimport { [REDACTED_OPAQUE_BASE64] } from \\\"./huggingface-auth\\\";\\n\\ndescribe(\\\"[REDACTED_OPAQUE_BASE64]\\\", () => {\\n\\tafterEach(() => {\\n\\t\\tdelete process.env.TEST_HF_TOKEN;\\n\\t});\\n\\n\\ttest(\\\"returns literal token values unchanged\\\", async () => {\\n\\t\\tconst resolved = await resolveConfiguredSecretValue(\\\"[REDACTED_TOKEN]\\\");\\n\\t\\texpect(resolved).toMatchObject({\\n\\t\\t\\tvalue: \\\"[REDACTED_TOKEN]\\\",\\n\\t\\t\\tsource: \\\"literal\\\",\\n\\t\\t});\\n\\t});\\n\\n\\ttest(\\\"resolves environment variable references\\\", async () => {\\n\\t\\tprocess.env.TEST_HF_TOKEN = \\\"hf_env_token_value\\\";\\n\\t\\tconst resolved = await resolveConfiguredSecretValue(\\\"TEST_HF_TOKEN\\\");\\n\\t\\texpect(resolved).toMatchObject({\\n\\t\\t\\tvalue: \\\"hf_env_token_value\\\",\\n\\t\\t\\tsource: \\\"env:TEST_HF_TOKEN\\\",\\n\\t\\t});\\n\\t});\\n\\n\\ttest(\\\"resolves shell command references\\\", async () => {\\n\\t\\tconst resolved = await resolveConfiguredSecretValue(\\\"!printf 'hf_shell_token'\\\");\\n\\t\\texpect(resolved).toMatchObject({\\n\\t\\t\\tvalue: \\\"hf_shell_token\\\",\\n\\t\\t\\tsource: \\\"shell:printf 'hf_shell_token'\\\",\\n\\t\\t});\\n\\t});\\n});\\n\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":140,"output":390,"cacheRead":98304,"cacheWrite":0,"totalTokens":98834,"cost":{"input":0.00035000000000000005,"output":0.00585,"cacheRead":0.024576,"cacheWrite":0,"total":0.030776}},"stopReason":"toolUse","timestamp":1774713865535,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"a8bff743","parentId":"ed59e9c0","timestamp":"2026-03-28T16:04:34.200Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"write","content":[{"type":"text","text":"Successfully wrote 1084 bytes to extensions/huggingface-auth.test.ts"}],"isError":false,"timestamp":1774713874199}}
{"type":"message","id":"c9471283","parentId":"a8bff743","timestamp":"2026-03-28T16:05:01.905Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Updating documentation**\n\nI need to update the README and CHANGELOG, possibly including the package description and keywords. I'll start by examining the README to see what sections need rewriting. It seems important to mention the configuration file, both global and local. If the gist publisher is used, I should note the requirements along with mentioning the Hugging Face token. Additionally, including command examples would be beneficial. Time to dive into the editing!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Updating documentation**\\n\\nI need to update the README and CHANGELOG, possibly including the package description and keywords. I'll start by examining the README to see what sections need rewriting. It seems important to mention the configuration file, both global and local. If the gist publisher is used, I should note the requirements along with mentioning the Hugging Face token. Additionally, including command examples would be beneficial. Time to dive into the editing!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"edit","arguments":{"path":"README.md","edits":[{"oldText":"Publish a redacted pi session as a public GitHub gist.\n","newText":"Publish a redacted pi session as a public GitHub gist and/or Hugging Face dataset.\n"},{"oldText":"- creates a public GitHub gist with:\n-  - `<session>.redacted.jsonl`\n-  - `openagentsessions.json`\n- prints the gist URL and submission hint for openagentsessions\n","newText":"- creates a public GitHub gist and/or uploads to a Hugging Face dataset\n- publishes two files:\n  - `<session>.redacted.jsonl`\n  - `openagentsessions.json`\n- stores Hugging Face uploads under timestamped paths like `sessions/[REDACTED_OPAQUE].redacted/`\n- prints the published URL(s) and submission hint for openagentsessions when a gist was created\n"},{"oldText":"```text\n/share-redacted\n/share-redacted --session @~/.pi/agent/sessions/your-session.jsonl\n/share-redacted --topic \"auth bugfix\" --language \"typescript\" --tags \"bugfix,auth\"\n/share-redacted --desc \"Open agent session (CC0)\" --no-review --yes\n```\n","newText":"```text\n/share-redacted\n/share-redacted --session @~/.pi/agent/sessions/your-session.jsonl\n/share-redacted --topic \"auth bugfix\" --language \"typescript\" --tags \"bugfix,auth\"\n/share-redacted --publisher huggingface --dataset lukaskawerau/pi-open-agent-sessions\n/share-redacted --publisher both --desc \"Open agent session (CC0)\" --no-review --yes\n```\n"},{"oldText":"- `--no-review`\n- `--yes`\n","newText":"- `--publisher gist|huggingface|both`\n- `--dataset owner/name`\n- `--no-review`\n- `--yes`\n\n## Hugging Face config\n\nConfig files are merged, with project-local values overriding global ones:\n\n- `~/.pi/agent/pi-share-redacted-gist.json`\n- `<cwd>/.pi/pi-share-redacted-gist.json`\n\nExample:\n\n```json\n{\n  \"publishers\": {\n    \"gist\": {\n      \"enabled\": true\n    },\n    \"huggingface\": {\n      \"enabled\": true,\n      \"datasets\": [\n        \"lukaskawerau/pi-open-agent-sessions\",\n        \"my-org/internal-agent-sessions\"\n      ],\n      \"defaultDataset\": \"lukaskawerau/pi-open-agent-sessions\",\n      \"visibility\": \"public\",\n      \"pathPrefix\": \"sessions\"\n    }\n  }\n}\n```\n\nAuth:\n\n- `HF_TOKEN` environment variable\n- or `~/.pi/agent/auth.json`:\n\n```json\n{\n  \"huggingface\": { \"type\": \"api_key\", \"key\": \"hf_...\" }\n}\n```\n\nThe `key` field can also use pi auth-file indirection such as shell commands (`\"!op read ...\"`) or env var names.\n"},{"oldText":"- `gh` CLI installed and authenticated\n- a persisted pi session file\n","newText":"- for GitHub gist publishing: `gh` CLI installed and authenticated\n- for Hugging Face publishing: `HF_TOKEN` or `~/.pi/agent/auth.json` entry for `huggingface`\n- a persisted pi session file\n"},{"oldText":"- secret scanning uses a detect-secrets-inspired plugin pipeline\n","newText":"- secret scanning uses a detect-secrets-inspired plugin pipeline\n- built-in secret plugins also detect Hugging Face access tokens (`hf_...`)\n"},{"oldText":"- built-in secret plugins:\n  - `PrivateKeyDetector`\n  - `GitHubTokenDetector`\n  - `AwsKeyDetector`\n  - `OpenAIDetector`\n  - `GoogleApiKeyDetector`\n","newText":"- built-in secret plugins:\n  - `PrivateKeyDetector`\n  - `GitHubTokenDetector`\n  - `AwsKeyDetector`\n  - `OpenAIDetector`\n  - `HuggingFaceTokenDetector`\n  - `GoogleApiKeyDetector`\n"}]},"partialJson":"{\"path\":\"README.md\",\"edits\":[{\"oldText\":\"Publish a redacted pi session as a public GitHub gist.\\n\",\"newText\":\"Publish a redacted pi session as a public GitHub gist and/or Hugging Face dataset.\\n\"},{\"oldText\":\"- creates a public GitHub gist with:\\n-  - `<session>.redacted.jsonl`\\n-  - `openagentsessions.json`\\n- prints the gist URL and submission hint for openagentsessions\\n\",\"newText\":\"- creates a public GitHub gist and/or uploads to a Hugging Face dataset\\n- publishes two files:\\n  - `<session>.redacted.jsonl`\\n  - `openagentsessions.json`\\n- stores Hugging Face uploads under timestamped paths like `sessions/[REDACTED_OPAQUE].redacted/`\\n- prints the published URL(s) and submission hint for openagentsessions when a gist was created\\n\"},{\"oldText\":\"```text\\n/share-redacted\\n/share-redacted --session @~/.pi/agent/sessions/your-session.jsonl\\n/share-redacted --topic \\\"auth bugfix\\\" --language \\\"typescript\\\" --tags \\\"bugfix,auth\\\"\\n/share-redacted --desc \\\"Open agent session (CC0)\\\" --no-review --yes\\n```\\n\",\"newText\":\"```text\\n/share-redacted\\n/share-redacted --session @~/.pi/agent/sessions/your-session.jsonl\\n/share-redacted --topic \\\"auth bugfix\\\" --language \\\"typescript\\\" --tags \\\"bugfix,auth\\\"\\n/share-redacted --publisher huggingface --dataset lukaskawerau/pi-open-agent-sessions\\n/share-redacted --publisher both --desc \\\"Open agent session (CC0)\\\" --no-review --yes\\n```\\n\"},{\"oldText\":\"- `--no-review`\\n- `--yes`\\n\",\"newText\":\"- `--publisher gist|huggingface|both`\\n- `--dataset owner/name`\\n- `--no-review`\\n- `--yes`\\n\\n## Hugging Face config\\n\\nConfig files are merged, with project-local values overriding global ones:\\n\\n- `~/.pi/agent/pi-share-redacted-gist.json`\\n- `<cwd>/.pi/pi-share-redacted-gist.json`\\n\\nExample:\\n\\n```json\\n{\\n  \\\"publishers\\\": {\\n    \\\"gist\\\": {\\n      \\\"enabled\\\": true\\n    },\\n    \\\"huggingface\\\": {\\n      \\\"enabled\\\": true,\\n      \\\"datasets\\\": [\\n        \\\"lukaskawerau/pi-open-agent-sessions\\\",\\n        \\\"my-org/internal-agent-sessions\\\"\\n      ],\\n      \\\"defaultDataset\\\": \\\"lukaskawerau/pi-open-agent-sessions\\\",\\n      \\\"visibility\\\": \\\"public\\\",\\n      \\\"pathPrefix\\\": \\\"sessions\\\"\\n    }\\n  }\\n}\\n```\\n\\nAuth:\\n\\n- `HF_TOKEN` environment variable\\n- or `~/.pi/agent/auth.json`:\\n\\n```json\\n{\\n  \\\"huggingface\\\": { \\\"type\\\": \\\"api_key\\\", \\\"key\\\": \\\"hf_...\\\" }\\n}\\n```\\n\\nThe `key` field can also use pi auth-file indirection such as shell commands (`\\\"!op read ...\\\"`) or env var names.\\n\"},{\"oldText\":\"- `gh` CLI installed and authenticated\\n- a persisted pi session file\\n\",\"newText\":\"- for GitHub gist publishing: `gh` CLI installed and authenticated\\n- for Hugging Face publishing: `HF_TOKEN` or `~/.pi/agent/auth.json` entry for `huggingface`\\n- a persisted pi session file\\n\"},{\"oldText\":\"- secret scanning uses a detect-secrets-inspired plugin pipeline\\n\",\"newText\":\"- secret scanning uses a detect-secrets-inspired plugin pipeline\\n- built-in secret plugins also detect Hugging Face access tokens (`hf_...`)\\n\"},{\"oldText\":\"- built-in secret plugins:\\n  - `PrivateKeyDetector`\\n  - `GitHubTokenDetector`\\n  - `AwsKeyDetector`\\n  - `OpenAIDetector`\\n  - `[REDACTED_OPAQUE]`\\n\",\"newText\":\"- built-in secret plugins:\\n  - `PrivateKeyDetector`\\n  - `GitHubTokenDetector`\\n  - `AwsKeyDetector`\\n  - `OpenAIDetector`\\n  - `HuggingFaceTokenDetector`\\n  - `GoogleApiKeyDetector`\\n\"}]}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":171,"output":1047,"cacheRead":98688,"cacheWrite":0,"totalTokens":99906,"cost":{"input":0.00042750000000000004,"output":0.015705,"cacheRead":0.024672,"cacheWrite":0,"total":0.0408045}},"stopReason":"toolUse","timestamp":1774713874200,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"a8664a09","parentId":"c9471283","timestamp":"2026-03-28T16:05:01.922Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"edit","content":[{"type":"text","text":"Could not find edits[1] in README.md. The oldText must match exactly including all whitespace and newlines."}],"details":{},"isError":true,"timestamp":1774713901921}}
{"type":"message","id":"84f4865c","parentId":"a8664a09","timestamp":"2026-03-28T16:05:06.593Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":"README.md"},"partialJson":"{\"path\":\"README.md\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":228,"output":31,"cacheRead":99712,"cacheWrite":0,"totalTokens":99971,"cost":{"input":0.0005700000000000001,"output":0.000465,"cacheRead":0.024928,"cacheWrite":0,"total":0.025963}},"stopReason":"toolUse","timestamp":1774713901922,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"238db59a","parentId":"84f4865c","timestamp":"2026-03-28T16:05:06.604Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"# pi-share-redacted-gist\n\nPublish a redacted pi session as a public GitHub gist.\n\nInstalls one pi extension command:\n\n- `/share-redacted`\n\n## What it does\n\n- reads the current persisted pi session file, or `--session @path`\n- redacts common sensitive patterns plus a detect-secrets-inspired plugin stack for secrets/tokens\n- opens a transcript-style review UI by default\n- asks for publication attestation unless `--yes`\n- creates a public GitHub gist with:\n  - `<session>.redacted.jsonl`\n  - `openagentsessions.json`\n- prints the gist URL and submission hint for openagentsessions\n\n## Install\n\n```bash\npi install npm:pi-share-redacted-gist\n```\n\nThen inside pi:\n\n```text\n/reload\n```\n\n## Usage\n\n```text\n/share-redacted\n/share-redacted --session @~/.pi/agent/sessions/your-session.jsonl\n/share-redacted --topic \"auth bugfix\" --language \"typescript\" --tags \"bugfix,auth\"\n/share-redacted --desc \"Open agent session (CC0)\" --no-review --yes\n```\n\nReview UI:\n\n- transcript blocks instead of raw JSONL\n- highlights suspicious leftovers the automatic redactor did not catch\n- `r` redacts the current suspicious value everywhere\n- `s` marks the current suspicious value safe\n- `a` adds a literal global redaction\n- `x` adds a regex global redaction\n- `u` undoes the last manual action\n- `e` opens the raw editor as an escape hatch\n\nFlags:\n\n- `--session @path`\n- `--desc \"text\"`\n- `--topic \"text\"`\n- `--language \"text\"`\n- `--tags \"a,b,c\"`\n- `--no-review`\n- `--yes`\n\n## Requirements\n\n- `gh` CLI installed and authenticated\n- a persisted pi session file\n\n## Package notes\n\n- package code license: MIT\n- published session metadata license: `CC0-1.0`\n- secret scanning uses a detect-secrets-inspired plugin pipeline\n- built-in secret plugins:\n  - `PrivateKeyDetector`\n  - `GitHubTokenDetector`\n  - `AwsKeyDetector`\n  - `OpenAIDetector`\n  - `GoogleApiKeyDetector`\n  - `SlackTokenDetector`\n  - `JwtDetector`\n  - `BearerTokenDetector`\n  - `KeywordDetector`\n  - `HexHighEntropyString`\n  - `[REDACTED_OPAQUE]`\n  - `OpaqueTokenDetector`\n\n## Development\n\n```bash\nbun test\nbun run check\nnpm pack --dry-run\n```\n\n## Publish\n\n```bash\nnpm login\nnpm publish\n```\n"}],"isError":false,"timestamp":1774713906603}}
{"type":"message","id":"23294c20","parentId":"238db59a","timestamp":"2026-03-28T16:05:32.248Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"write","arguments":{"path":"README.md","content":"# pi-share-redacted-gist\n\nPublish a redacted pi session as a public GitHub gist and/or Hugging Face dataset.\n\nInstalls one pi extension command:\n\n- `/share-redacted`\n\n## What it does\n\n- reads the current persisted pi session file, or `--session @path`\n- redacts common sensitive patterns plus a detect-secrets-inspired plugin stack for secrets/tokens\n- opens a transcript-style review UI by default\n- asks for publication attestation unless `--yes`\n- publishes two files:\n  - `<session>.redacted.jsonl`\n  - `openagentsessions.json`\n- can publish to:\n  - a public GitHub gist\n  - a Hugging Face dataset\n  - both\n- stores Hugging Face uploads under timestamped paths like `sessions/[REDACTED_OPAQUE].redacted/`\n- prints the published URL(s) and an openagentsessions submission hint when a gist was created\n\n## Install\n\n```bash\npi install npm:pi-share-redacted-gist\n```\n\nThen inside pi:\n\n```text\n/reload\n```\n\n## Usage\n\n```text\n/share-redacted\n/share-redacted --session @~/.pi/agent/sessions/your-session.jsonl\n/share-redacted --topic \"auth bugfix\" --language \"typescript\" --tags \"bugfix,auth\"\n/share-redacted --publisher huggingface --dataset lukaskawerau/pi-open-agent-sessions\n/share-redacted --publisher both --desc \"Open agent session (CC0)\" --no-review --yes\n```\n\nReview UI:\n\n- transcript blocks instead of raw JSONL\n- highlights suspicious leftovers the automatic redactor did not catch\n- `r` redacts the current suspicious value everywhere\n- `s` marks the current suspicious value safe\n- `a` adds a literal global redaction\n- `x` adds a regex global redaction\n- `u` undoes the last manual action\n- `e` opens the raw editor as an escape hatch\n\nFlags:\n\n- `--session @path`\n- `--desc \"text\"`\n- `--topic \"text\"`\n- `--language \"text\"`\n- `--tags \"a,b,c\"`\n- `--publisher gist|huggingface|both`\n- `--dataset owner/name`\n- `--no-review`\n- `--yes`\n\n## Hugging Face config\n\nConfig files are merged, with project-local values overriding global ones:\n\n- `~/.pi/agent/pi-share-redacted-gist.json`\n- `<cwd>/.pi/pi-share-redacted-gist.json`\n\nExample:\n\n```json\n{\n  \"publishers\": {\n    \"gist\": {\n      \"enabled\": true\n    },\n    \"huggingface\": {\n      \"enabled\": true,\n      \"datasets\": [\n        \"lukaskawerau/pi-open-agent-sessions\",\n        \"my-org/internal-agent-sessions\"\n      ],\n      \"defaultDataset\": \"lukaskawerau/pi-open-agent-sessions\",\n      \"visibility\": \"public\",\n      \"pathPrefix\": \"sessions\"\n    }\n  }\n}\n```\n\nAuth:\n\n- `HF_TOKEN` environment variable\n- or `~/.pi/agent/auth.json`:\n\n```json\n{\n  \"huggingface\": { \"type\": \"api_key\", \"key\": \"hf_...\" }\n}\n```\n\nThe `key` field can also use pi auth-file indirection such as shell commands (`\"!op read ...\"`) or env var names.\n\n## Requirements\n\n- for GitHub gist publishing: `gh` CLI installed and authenticated\n- for Hugging Face publishing: `HF_TOKEN` or `~/.pi/agent/auth.json` entry for `huggingface`\n- a persisted pi session file\n\n## Package notes\n\n- package code license: MIT\n- published session metadata license: `CC0-1.0`\n- secret scanning uses a detect-secrets-inspired plugin pipeline\n- built-in secret plugins also detect Hugging Face access tokens (`hf_...`)\n- built-in secret plugins:\n  - `PrivateKeyDetector`\n  - `GitHubTokenDetector`\n  - `AwsKeyDetector`\n  - `OpenAIDetector`\n  - `HuggingFaceTokenDetector`\n  - `GoogleApiKeyDetector`\n  - `SlackTokenDetector`\n  - `JwtDetector`\n  - `BearerTokenDetector`\n  - `KeywordDetector`\n  - `HexHighEntropyString`\n  - `[REDACTED_OPAQUE]`\n  - `OpaqueTokenDetector`\n\n## Development\n\n```bash\nbun test\nbun run check\nnpm pack --dry-run\n```\n\n## Publish\n\n```bash\nnpm login\nnpm publish\n```\n"},"partialJson":"{\"path\":\"README.md\",\"content\":\"# pi-share-redacted-gist\\n\\nPublish a redacted pi session as a public GitHub gist and/or Hugging Face dataset.\\n\\nInstalls one pi extension command:\\n\\n- `/share-redacted`\\n\\n## What it does\\n\\n- reads the current persisted pi session file, or `--session @path`\\n- redacts common sensitive patterns plus a detect-secrets-inspired plugin stack for secrets/tokens\\n- opens a transcript-style review UI by default\\n- asks for publication attestation unless `--yes`\\n- publishes two files:\\n  - `<session>.redacted.jsonl`\\n  - `openagentsessions.json`\\n- can publish to:\\n  - a public GitHub gist\\n  - a Hugging Face dataset\\n  - both\\n- stores Hugging Face uploads under timestamped paths like `sessions/[REDACTED_OPAQUE].redacted/`\\n- prints the published URL(s) and an openagentsessions submission hint when a gist was created\\n\\n## Install\\n\\n```bash\\npi install npm:pi-share-redacted-gist\\n```\\n\\nThen inside pi:\\n\\n```text\\n/reload\\n```\\n\\n## Usage\\n\\n```text\\n/share-redacted\\n/share-redacted --session @~/.pi/agent/sessions/your-session.jsonl\\n/share-redacted --topic \\\"auth bugfix\\\" --language \\\"typescript\\\" --tags \\\"bugfix,auth\\\"\\n/share-redacted --publisher huggingface --dataset lukaskawerau/pi-open-agent-sessions\\n/share-redacted --publisher both --desc \\\"Open agent session (CC0)\\\" --no-review --yes\\n```\\n\\nReview UI:\\n\\n- transcript blocks instead of raw JSONL\\n- highlights suspicious leftovers the automatic redactor did not catch\\n- `r` redacts the current suspicious value everywhere\\n- `s` marks the current suspicious value safe\\n- `a` adds a literal global redaction\\n- `x` adds a regex global redaction\\n- `u` undoes the last manual action\\n- `e` opens the raw editor as an escape hatch\\n\\nFlags:\\n\\n- `--session @path`\\n- `--desc \\\"text\\\"`\\n- `--topic \\\"text\\\"`\\n- `--language \\\"text\\\"`\\n- `--tags \\\"a,b,c\\\"`\\n- `--publisher gist|huggingface|both`\\n- `--dataset owner/name`\\n- `--no-review`\\n- `--yes`\\n\\n## Hugging Face config\\n\\nConfig files are merged, with project-local values overriding global ones:\\n\\n- `~/.pi/agent/pi-share-redacted-gist.json`\\n- `<cwd>/.pi/pi-share-redacted-gist.json`\\n\\nExample:\\n\\n```json\\n{\\n  \\\"publishers\\\": {\\n    \\\"gist\\\": {\\n      \\\"enabled\\\": true\\n    },\\n    \\\"huggingface\\\": {\\n      \\\"enabled\\\": true,\\n      \\\"datasets\\\": [\\n        \\\"lukaskawerau/pi-open-agent-sessions\\\",\\n        \\\"my-org/internal-agent-sessions\\\"\\n      ],\\n      \\\"defaultDataset\\\": \\\"lukaskawerau/pi-open-agent-sessions\\\",\\n      \\\"visibility\\\": \\\"public\\\",\\n      \\\"pathPrefix\\\": \\\"sessions\\\"\\n    }\\n  }\\n}\\n```\\n\\nAuth:\\n\\n- `HF_TOKEN` environment variable\\n- or `~/.pi/agent/auth.json`:\\n\\n```json\\n{\\n  \\\"huggingface\\\": { \\\"type\\\": \\\"api_key\\\", \\\"key\\\": \\\"hf_...\\\" }\\n}\\n```\\n\\nThe `key` field can also use pi auth-file indirection such as shell commands (`\\\"!op read ...\\\"`) or env var names.\\n\\n## Requirements\\n\\n- for GitHub gist publishing: `gh` CLI installed and authenticated\\n- for Hugging Face publishing: `HF_TOKEN` or `~/.pi/agent/auth.json` entry for `huggingface`\\n- a persisted pi session file\\n\\n## Package notes\\n\\n- package code license: MIT\\n- published session metadata license: `CC0-1.0`\\n- secret scanning uses a detect-secrets-inspired plugin pipeline\\n- built-in secret plugins also detect Hugging Face access tokens (`hf_...`)\\n- built-in secret plugins:\\n  - `PrivateKeyDetector`\\n  - `GitHubTokenDetector`\\n  - `AwsKeyDetector`\\n  - `OpenAIDetector`\\n  - `HuggingFaceTokenDetector`\\n  - `GoogleApiKeyDetector`\\n  - `SlackTokenDetector`\\n  - `JwtDetector`\\n  - `BearerTokenDetector`\\n  - `KeywordDetector`\\n  - `HexHighEntropyString`\\n  - `[REDACTED_OPAQUE]`\\n  - `OpaqueTokenDetector`\\n\\n## Development\\n\\n```bash\\nbun test\\nbun run check\\nnpm pack --dry-run\\n```\\n\\n## Publish\\n\\n```bash\\nnpm login\\nnpm publish\\n```\\n\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":709,"output":1124,"cacheRead":99840,"cacheWrite":0,"totalTokens":101673,"cost":{"input":0.0017725000000000002,"output":0.01686,"cacheRead":0.02496,"cacheWrite":0,"total":0.0435925}},"stopReason":"toolUse","timestamp":1774713906605,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"18f156ff","parentId":"23294c20","timestamp":"2026-03-28T16:05:32.256Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"write","content":[{"type":"text","text":"Successfully wrote 3597 bytes to README.md"}],"isError":false,"timestamp":1774713932254}}
{"type":"message","id":"a7fa77f4","parentId":"18f156ff","timestamp":"2026-03-28T16:05:43.447Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","name":"edit","arguments":{"path":"CHANGELOG.md","oldText":"# Changelog\n\n## 0.5.0 - 2026-03-28\n","newText":"# Changelog\n\n## Unreleased\n\n### Added\n- added Hugging Face dataset publishing via `@huggingface/hub`\n- added merged global/project config files for publisher selection and dataset lists\n- added Hugging Face token resolution from `HF_TOKEN` or pi `auth.json`\n- added regression tests for Hugging Face token detection and auth-value resolution\n\n### Changed\n- refactored publishing so `/share-redacted` can publish to gist, Hugging Face, or both\n- changed publication attestation text to cover non-gist targets too\n- upload Hugging Face payloads into timestamped `sessions/...` folders instead of repo root\n- expanded secret detection with explicit `hf_...` token redaction\n- updated README for multi-publisher usage and config\n\n## 0.5.0 - 2026-03-28\n"},"partialJson":"{\"path\":\"CHANGELOG.md\",\"oldText\":\"# Changelog\\n\\n## 0.5.0 - 2026-03-28\\n\",\"newText\":\"# Changelog\\n\\n## Unreleased\\n\\n### Added\\n- added Hugging Face dataset publishing via `@huggingface/hub`\\n- added merged global/project config files for publisher selection and dataset lists\\n- added Hugging Face token resolution from `HF_TOKEN` or pi `auth.json`\\n- added regression tests for Hugging Face token detection and auth-value resolution\\n\\n### Changed\\n- refactored publishing so `/share-redacted` can publish to gist, Hugging Face, or both\\n- changed publication attestation text to cover non-gist targets too\\n- upload Hugging Face payloads into timestamped `sessions/...` folders instead of repo root\\n- expanded secret detection with explicit `hf_...` token redaction\\n- updated README for multi-publisher usage and config\\n\\n## 0.5.0 - 2026-03-28\\n\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":188,"output":245,"cacheRead":101504,"cacheWrite":0,"totalTokens":101937,"cost":{"input":0.00047000000000000004,"output":0.003675,"cacheRead":0.025376,"cacheWrite":0,"total":0.029521}},"stopReason":"toolUse","timestamp":1774713932257,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"496a3fcb","parentId":"a7fa77f4","timestamp":"2026-03-28T16:05:43.462Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in CHANGELOG.md."}],"details":{"diff":"  1 # Changelog\n  2 \n+ 3 ## Unreleased\n+ 4 \n+ 5 ### Added\n+ 6 - added Hugging Face dataset publishing via `@huggingface/hub`\n+ 7 - added merged global/project config files for publisher selection and dataset lists\n+ 8 - added Hugging Face token resolution from `HF_TOKEN` or pi `auth.json`\n+ 9 - added regression tests for Hugging Face token detection and auth-value resolution\n+10 \n+11 ### Changed\n+12 - refactored publishing so `/share-redacted` can publish to gist, Hugging Face, or both\n+13 - changed publication attestation text to cover non-gist targets too\n+14 - upload Hugging Face payloads into timestamped `sessions/...` folders instead of repo root\n+15 - expanded secret detection with explicit `hf_...` token redaction\n+16 - updated README for multi-publisher usage and config\n+17 \n  3 ## 0.5.0 - 2026-03-28\n  4 \n  5 ### Added\n  6 - added a detect-secrets-inspired secret plugin pipeline for auto-redaction and review\n    ...","firstChangedLine":3},"isError":false,"timestamp":1774713943461}}
{"type":"message","id":"7c6d14ba","parentId":"496a3fcb","timestamp":"2026-03-28T16:05:51.336Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Updating package details**\n\nI think I might need to update the package description and keywords in the package.json file. Adding a \"huggingface\" keyword could be beneficial. It's unclear if it's required, but I suppose it won't hurt to change the description a bit, too. I'll consider how best to phrase it—keeping it relevant and concise is key. Okay, let's move forward with these updates!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Updating package details**\\n\\nI think I might need to update the package description and keywords in the package.json file. Adding a \\\"huggingface\\\" keyword could be beneficial. It's unclear if it's required, but I suppose it won't hurt to change the description a bit, too. I'll consider how best to phrase it—keeping it relevant and concise is key. Okay, let's move forward with these updates!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"edit","arguments":{"path":"package.json","edits":[{"oldText":"  \"description\": \"Pi package: publish a redacted pi session as a public GitHub gist\",","newText":"  \"description\": \"Pi package: publish a redacted pi session to GitHub gists and Hugging Face datasets\","},{"oldText":"    \"github\",\n    \"redaction\",\n    \"openagentsessions\"","newText":"    \"github\",\n    \"huggingface\",\n    \"redaction\",\n    \"openagentsessions\""}]},"partialJson":"{\"path\":\"package.json\",\"edits\":[{\"oldText\":\"  \\\"description\\\": \\\"Pi package: publish a redacted pi session as a public GitHub gist\\\",\",\"newText\":\"  \\\"description\\\": \\\"Pi package: publish a redacted pi session to GitHub gists and Hugging Face datasets\\\",\"},{\"oldText\":\"    \\\"github\\\",\\n    \\\"redaction\\\",\\n    \\\"openagentsessions\\\"\",\"newText\":\"    \\\"github\\\",\\n    \\\"huggingface\\\",\\n    \\\"redaction\\\",\\n    \\\"openagentsessions\\\"\"}]}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":195,"output":164,"cacheRead":101760,"cacheWrite":0,"totalTokens":102119,"cost":{"input":0.00048750000000000003,"output":0.00246,"cacheRead":0.025439999999999997,"cacheWrite":0,"total":0.028387499999999996}},"stopReason":"toolUse","timestamp":1774713943463,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"f9382ba6","parentId":"7c6d14ba","timestamp":"2026-03-28T16:05:51.347Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 2 block(s) in package.json."}],"details":{"diff":"  1 {\n  2   \"name\": \"pi-share-redacted-gist\",\n  3   \"version\": \"0.5.0\",\n- 4   \"description\": \"Pi package: publish a redacted pi session as a public GitHub gist\",\n+ 4   \"description\": \"Pi package: publish a redacted pi session to GitHub gists and Hugging Face datasets\",\n  5   \"type\": \"module\",\n  6   \"license\": \"MIT\",\n  7   \"keywords\": [\n  8     \"pi-package\",\n  9     \"pi\",\n 10     \"pi-extension\",\n 11     \"gist\",\n 12     \"github\",\n+13     \"huggingface\",\n 13     \"redaction\",\n 14     \"openagentsessions\"\n 15   ],\n 16   \"files\": [\n    ...","firstChangedLine":4},"isError":false,"timestamp":1774713951346}}
{"type":"message","id":"d43ed3e5","parentId":"f9382ba6","timestamp":"2026-03-28T16:05:56.440Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Preparing for tests**\n\nI think I need to check the line count for new files and run some tests. But first, I'll inspect for TypeScript errors from the object array types to see if anything is inferred as any[]. Should I enable noImplicit? That might help. I might encounter build errors with long import lines, but I don’t think that’s relevant right now. So, I plan to run `bun test` and `bun run check` next. Let's get started!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Preparing for tests**\\n\\nI think I need to check the line count for new files and run some tests. But first, I'll inspect for TypeScript errors from the object array types to see if anything is inferred as any[]. Should I enable noImplicit? That might help. I might encounter build errors with long import lines, but I don’t think that’s relevant right now. So, I plan to run `bun test` and `bun run check` next. Let's get started!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"bun test","timeout":120},"partialJson":"{\"command\":\"bun test\",\"timeout\":120}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":124,"output":103,"cacheRead":102016,"cacheWrite":0,"totalTokens":102243,"cost":{"input":0.00031,"output":0.001545,"cacheRead":0.025504,"cacheWrite":0,"total":0.027358999999999998}},"stopReason":"toolUse","timestamp":1774713951347,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"db2dd5c2","parentId":"d43ed3e5","timestamp":"2026-03-28T16:05:57.702Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"bun test v1.3.6 (d530ed99)\n\nextensions/review-model.test.ts:\n(pass) buildReviewModel > extracts readable blocks and suspicious values from message content plus tool calls [7.48ms]\n(pass) buildReviewModel > hides marked-safe signatures [0.96ms]\n(pass) buildReviewModel > strips ansi and control sequences from display lines [0.87ms]\n(pass) buildReviewModel > does not flag file line references as sensitive assignments [0.33ms]\n(pass) manual redactions > applies literal rules globally [0.27ms]\n(pass) manual redactions > parses slash regex rules and replaces all matches [0.08ms]\n\nextensions/redaction.test.ts:\n(pass) redactSensitive > redacts structured JSONL string values [1.45ms]\n(pass) redactSensitive > redacts sufficiently random base64ish tokens [0.41ms]\n(pass) redactSensitive > redacts sufficiently random hex tokens [0.31ms]\n(pass) redactSensitive > keeps commit hashes in safe git context [0.10ms]\n(pass) redactSensitive > keeps model-like slugs [0.09ms]\n(pass) redactSensitive > redacts uuids with a dedicated placeholder [0.06ms]\n(pass) redactSensitive > falls back to raw text redaction for non-JSON lines [0.14ms]\n(pass) redactSensitive > redacts private key blocks inside structured strings [0.30ms]\n\nextensions/share-redacted-gist.test.ts:\n(pass) buildSubmissionMessage > includes gist URL in the final user-facing message [0.74ms]\n(pass) buildSubmissionMessage > includes hugging face dataset URL when published there\n(pass) buildSubmissionMessage > appends failures without hiding successful publications\n\nextensions/huggingface-auth.test.ts:\n(pass) [REDACTED_OPAQUE_BASE64] > returns literal token values unchanged [0.25ms]\n(pass) [REDACTED_OPAQUE_BASE64] > resolves environment variable references [0.08ms]\n(pass) resolveConfiguredSecretValue > resolves shell command references [528.15ms]\n\nextensions/secret-scanner.test.ts:\n(pass) secret scanner > initializes detect-secrets style built-ins\n(pass) secret scanner > detects provider tokens before generic keyword matches\n(pass) secret scanner > detects hugging face tokens before keyword fallback [0.68ms]\n(pass) secret scanner > detects private key blocks [0.11ms]\n(pass) secret scanner > keeps safe commit hashes out of entropy matches\n\n 25 pass\n 0 fail\n 56 expect() calls\nRan 25 tests across 5 files. [1237.00ms]\n"}],"isError":false,"timestamp":1774713957701}}
{"type":"message","id":"6f670a83","parentId":"db2dd5c2","timestamp":"2026-03-28T16:06:07.961Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"bun run check","timeout":120},"partialJson":"{\"command\":\"bun run check\",\"timeout\":120}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":634,"output":34,"cacheRead":102144,"cacheWrite":0,"totalTokens":102812,"cost":{"input":0.001585,"output":0.00051,"cacheRead":0.025536,"cacheWrite":0,"total":0.027631}},"stopReason":"toolUse","timestamp":1774713957702,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"456be173","parentId":"6f670a83","timestamp":"2026-03-28T16:06:08.725Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"$ bun test && bun -e \"import('./extensions/share-redacted-gist.ts').then(() => console.log('ok'))\"\nbun test v1.3.6 (d530ed99)\n\nextensions/review-model.test.ts:\n(pass) buildReviewModel > extracts readable blocks and suspicious values from message content plus tool calls [3.32ms]\n(pass) buildReviewModel > hides marked-safe signatures [0.28ms]\n(pass) buildReviewModel > strips ansi and control sequences from display lines [0.13ms]\n(pass) buildReviewModel > does not flag file line references as sensitive assignments [0.32ms]\n(pass) manual redactions > applies literal rules globally [0.28ms]\n(pass) manual redactions > parses slash regex rules and replaces all matches [0.06ms]\n\nextensions/redaction.test.ts:\n(pass) redactSensitive > redacts structured JSONL string values [1.16ms]\n(pass) redactSensitive > redacts sufficiently random base64ish tokens [0.18ms]\n(pass) redactSensitive > redacts sufficiently random hex tokens [0.19ms]\n(pass) redactSensitive > keeps commit hashes in safe git context [0.09ms]\n(pass) redactSensitive > keeps model-like slugs [0.15ms]\n(pass) redactSensitive > redacts uuids with a dedicated placeholder [0.05ms]\n(pass) redactSensitive > falls back to raw text redaction for non-JSON lines [0.14ms]\n(pass) redactSensitive > redacts private key blocks inside structured strings [0.34ms]\n\nextensions/share-redacted-gist.test.ts:\n(pass) buildSubmissionMessage > includes gist URL in the final user-facing message [0.05ms]\n(pass) buildSubmissionMessage > includes hugging face dataset URL when published there [0.03ms]\n(pass) buildSubmissionMessage > appends failures without hiding successful publications\n\nextensions/huggingface-auth.test.ts:\n(pass) [REDACTED_OPAQUE_BASE64] > returns literal token values unchanged [0.27ms]\n(pass) [REDACTED_OPAQUE_BASE64] > resolves environment variable references [0.05ms]\n(pass) resolveConfiguredSecretValue > resolves shell command references [158.40ms]\n\nextensions/secret-scanner.test.ts:\n(pass) secret scanner > initializes detect-secrets style built-ins [0.18ms]\n(pass) secret scanner > detects provider tokens before generic keyword matches [0.18ms]\n(pass) secret scanner > detects hugging face tokens before keyword fallback\n(pass) secret scanner > detects private key blocks [0.27ms]\n(pass) secret scanner > keeps safe commit hashes out of entropy matches [0.08ms]\n\n 25 pass\n 0 fail\n 56 expect() calls\nRan 25 tests across 5 files. [454.00ms]\nok\n"}],"isError":false,"timestamp":1774713968725}}
{"type":"message","id":"dfbed353","parentId":"456be173","timestamp":"2026-03-28T16:06:13.215Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting differences**\n\nI think I need to inspect the differences, maybe look for any issues. I could use `git diff` to examine changes between versions, and checking line counts might also be helpful. It’s essential to ensure that nothing crucial has been missed in the process. I wonder if focusing on those differences will clarify what needs to be addressed. It feels important to be thorough here so I don’t overlook anything significant!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting differences**\\n\\nI think I need to inspect the differences, maybe look for any issues. I could use `git diff` to examine changes between versions, and checking line counts might also be helpful. It’s essential to ensure that nothing crucial has been missed in the process. I wonder if focusing on those differences will clarify what needs to be addressed. It feels important to be thorough here so I don’t overlook anything significant!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"git status --short && echo '---' && git --no-pager diff --color=never -- package.json README.md CHANGELOG.md extensions/share-redacted-gist.ts extensions/publishers.ts extensions/publish-config.ts extensions/huggingface-auth.ts extensions/secret-scanner.ts extensions/*.test.ts","timeout":120},"partialJson":"{\"command\":\"git status --short && echo '---' && git --no-pager diff --color=never -- package.json README.md CHANGELOG.md extensions/share-redacted-gist.ts extensions/publishers.ts extensions/publish-config.ts extensions/huggingface-auth.ts extensions/secret-scanner.ts extensions/*.test.ts\",\"timeout\":120}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"wc -l extensions/share-redacted-gist.ts extensions/publishers.ts extensions/publish-config.ts extensions/huggingface-auth.ts","timeout":20},"partialJson":"{\"command\":\"wc -l extensions/share-redacted-gist.ts extensions/publishers.ts extensions/publish-config.ts extensions/huggingface-auth.ts\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":734,"output":165,"cacheRead":102656,"cacheWrite":0,"totalTokens":103555,"cost":{"input":0.001835,"output":0.002475,"cacheRead":0.025664,"cacheWrite":0,"total":0.029974}},"stopReason":"toolUse","timestamp":1774713968726,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"18fbbe2a","parentId":"dfbed353","timestamp":"2026-03-28T16:06:13.294Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":" M CHANGELOG.md\n M README.md\n M extensions/secret-scanner.test.ts\n M extensions/secret-scanner.ts\n M extensions/share-redacted-gist.test.ts\n M extensions/share-redacted-gist.ts\n M package.json\n?? bun.lock\n?? extensions/huggingface-auth.test.ts\n?? extensions/huggingface-auth.ts\n?? extensions/publish-config.ts\n?? extensions/publishers.ts\n---\ndiff --git a/CHANGELOG.md b/CHANGELOG.md\nindex 09e649f..1189289 100644\n--- a/CHANGELOG.md\n+++ b/CHANGELOG.md\n@@ -1,5 +1,20 @@\n # Changelog\n \n+## Unreleased\n+\n+### Added\n+- added Hugging Face dataset publishing via `@huggingface/hub`\n+- added merged global/project config files for publisher selection and dataset lists\n+- added Hugging Face token resolution from `HF_TOKEN` or pi `auth.json`\n+- added regression tests for Hugging Face token detection and auth-value resolution\n+\n+### Changed\n+- refactored publishing so `/share-redacted` can publish to gist, Hugging Face, or both\n+- changed publication attestation text to cover non-gist targets too\n+- upload Hugging Face payloads into timestamped `sessions/...` folders instead of repo root\n+- expanded secret detection with explicit `hf_...` token redaction\n+- updated README for multi-publisher usage and config\n+\n ## 0.5.0 - 2026-03-28\n \n ### Added\ndiff --git a/README.md b/README.md\nindex 085071c..32e485c 100644\n--- a/README.md\n+++ b/README.md\n@@ -1,6 +1,6 @@\n # pi-share-redacted-gist\n \n-Publish a redacted pi session as a public GitHub gist.\n+Publish a redacted pi session as a public GitHub gist and/or Hugging Face dataset.\n \n Installs one pi extension command:\n \n@@ -12,10 +12,15 @@ Installs one pi extension command:\n - redacts common sensitive patterns plus a detect-secrets-inspired plugin stack for secrets/tokens\n - opens a transcript-style review UI by default\n - asks for publication attestation unless `--yes`\n-- creates a public GitHub gist with:\n+- publishes two files:\n   - `<session>.redacted.jsonl`\n   - `openagentsessions.json`\n-- prints the gist URL and submission hint for openagentsessions\n+- can publish to:\n+  - a public GitHub gist\n+  - a Hugging Face dataset\n+  - both\n+- stores Hugging Face uploads under timestamped paths like `sessions/[REDACTED_OPAQUE].redacted/`\n+- prints the published URL(s) and an openagentsessions submission hint when a gist was created\n \n ## Install\n \n@@ -35,7 +40,8 @@ Then inside pi:\n /share-redacted\n /share-redacted --session @~/.pi/agent/sessions/your-session.jsonl\n /share-redacted --topic \"auth bugfix\" --language \"typescript\" --tags \"bugfix,auth\"\n-/share-redacted --desc \"Open agent session (CC0)\" --no-review --yes\n+/share-redacted --publisher huggingface --dataset lukaskawerau/pi-open-agent-sessions\n+/share-redacted --publisher both --desc \"Open agent session (CC0)\" --no-review --yes\n ```\n \n Review UI:\n@@ -56,12 +62,57 @@ Flags:\n - `--topic \"text\"`\n - `--language \"text\"`\n - `--tags \"a,b,c\"`\n+- `--publisher gist|huggingface|both`\n+- `--dataset owner/name`\n - `--no-review`\n - `--yes`\n \n+## Hugging Face config\n+\n+Config files are merged, with project-local values overriding global ones:\n+\n+- `~/.pi/agent/pi-share-redacted-gist.json`\n+- `<cwd>/.pi/pi-share-redacted-gist.json`\n+\n+Example:\n+\n+```json\n+{\n+  \"publishers\": {\n+    \"gist\": {\n+      \"enabled\": true\n+    },\n+    \"huggingface\": {\n+      \"enabled\": true,\n+      \"datasets\": [\n+        \"lukaskawerau/pi-open-agent-sessions\",\n+        \"my-org/internal-agent-sessions\"\n+      ],\n+      \"defaultDataset\": \"lukaskawerau/pi-open-agent-sessions\",\n+      \"visibility\": \"public\",\n+      \"pathPrefix\": \"sessions\"\n+    }\n+  }\n+}\n+```\n+\n+Auth:\n+\n+- `HF_TOKEN` environment variable\n+- or `~/.pi/agent/auth.json`:\n+\n+```json\n+{\n+  \"huggingface\": { \"type\": \"api_key\", \"key\": \"hf_...\" }\n+}\n+```\n+\n+The `key` field can also use pi auth-file indirection such as shell commands (`\"!op read ...\"`) or env var names.\n+\n ## Requirements\n \n-- `gh` CLI installed and authenticated\n+- for GitHub gist publishing: `gh` CLI installed and authenticated\n+- for Hugging Face publishing: `HF_TOKEN` or `~/.pi/agent/auth.json` entry for `huggingface`\n - a persisted pi session file\n \n ## Package notes\n@@ -69,11 +120,13 @@ Flags:\n - package code license: MIT\n - published session metadata license: `CC0-1.0`\n - secret scanning uses a detect-secrets-inspired plugin pipeline\n+- built-in secret plugins also detect Hugging Face access tokens (`hf_...`)\n - built-in secret plugins:\n   - `PrivateKeyDetector`\n   - `GitHubTokenDetector`\n   - `AwsKeyDetector`\n   - `OpenAIDetector`\n+  - `HuggingFaceTokenDetector`\n   - `GoogleApiKeyDetector`\n   - `SlackTokenDetector`\n   - `JwtDetector`\ndiff --git a/extensions/secret-scanner.test.ts b/extensions/secret-scanner.test.ts\nindex a63a828..20eed2e 100644\n--- a/extensions/secret-scanner.test.ts\n+++ b/extensions/secret-scanner.test.ts\n@@ -19,6 +19,16 @@ describe(\"secret scanner\", () => {\n \t\t});\n \t});\n \n+\ttest(\"detects hugging face tokens before keyword fallback\", () => {\n+\t\tconst findings = scanSecrets(\"HF_TOKEN=[REDACTED_TOKEN]\");\n+\t\texpect(findings).toHaveLength(1);\n+\t\texpect(findings[0]).toMatchObject({\n+\t\t\tsecretType: \"huggingface_token\",\n+\t\t\tvalue: \"[REDACTED_TOKEN]\",\n+\t\t\tplaceholder: \"[REDACTED_TOKEN]\",\n+\t\t});\n+\t});\n+\n \ttest(\"detects private key blocks\", () => {\n \t\tconst findings = scanSecrets([\n \t\t\t\"[REDACTED_PRIVATE_KEY]\",\ndiff --git a/extensions/secret-scanner.ts b/extensions/secret-scanner.ts\nindex 21acb98..20ed832 100644\n--- a/extensions/secret-scanner.ts\n+++ b/extensions/secret-scanner.ts\n@@ -44,6 +44,7 @@ export const DEFAULT_SECRET_PLUGIN_CONFIGS: SecretPluginConfig[] = [\n \t{ name: \"GitHubTokenDetector\" },\n \t{ name: \"AwsKeyDetector\" },\n \t{ name: \"OpenAIDetector\" },\n+\t{ name: \"HuggingFaceTokenDetector\" },\n \t{ name: \"GoogleApiKeyDetector\" },\n \t{ name: \"SlackTokenDetector\" },\n \t{ name: \"JwtDetector\" },\n@@ -346,6 +347,20 @@ class OpenAIDetector extends RegexBasedSecretPlugin {\n \t}\n }\n \n+class HuggingFaceTokenDetector extends RegexBasedSecretPlugin {\n+\treadonly name = \"HuggingFaceTokenDetector\";\n+\treadonly secretType = \"huggingface_token\";\n+\tprotected readonly denylist = [/\\bhf_[A-Za-z0-9]{20,}\\b/g] as const;\n+\n+\tprotected placeholderFor(): string {\n+\t\treturn \"[REDACTED_TOKEN]\";\n+\t}\n+\n+\tprotected scoreFor(): number {\n+\t\treturn 152;\n+\t}\n+}\n+\n class GoogleApiKeyDetector extends RegexBasedSecretPlugin {\n \treadonly name = \"GoogleApiKeyDetector\";\n \treadonly secretType = \"google_api_key\";\n@@ -403,6 +418,7 @@ const BUILTIN_PLUGIN_FACTORIES: Record<string, (options?: Record<string, unknown\n \tGitHubTokenDetector: () => new GitHubTokenDetector(),\n \tAwsKeyDetector: () => new AwsKeyDetector(),\n \tOpenAIDetector: () => new OpenAIDetector(),\n+\tHuggingFaceTokenDetector: () => new HuggingFaceTokenDetector(),\n \tGoogleApiKeyDetector: () => new GoogleApiKeyDetector(),\n \tSlackTokenDetector: () => new SlackTokenDetector(),\n \tJwtDetector: () => new JwtDetector(),\ndiff --git a/extensions/share-redacted-gist.test.ts b/extensions/share-redacted-gist.test.ts\nindex 288f3bc..fc367b1 100644\n--- a/extensions/share-redacted-gist.test.ts\n+++ b/extensions/share-redacted-gist.test.ts\n@@ -4,16 +4,35 @@ import { buildSubmissionMessage } from \"./share-redacted-gist\";\n \n describe(\"buildSubmissionMessage\", () => {\n \ttest(\"includes gist URL in the final user-facing message\", () => {\n-\t\tconst url = \"https://gist.github.com/lukaskawerau/abcdef123456\";\n-\t\tconst message = buildSubmissionMessage(url);\n-\t\texpect(message).toContain(url);\n+\t\tconst message = buildSubmissionMessage([\n+\t\t\t{ publisher: \"gist\", url: \"https://gist.github.com/lukaskawerau/abcdef123456\" },\n+\t\t]);\n+\t\texpect(message).toContain(\"https://gist.github.com/lukaskawerau/abcdef123456\");\n \t\texpect(message).toContain(\"https://openagentsessions.org/submit\");\n-\t\texpect(message).toContain(\"paste that URL\");\n+\t\texpect(message).toContain(\"paste the gist URL\");\n \t});\n \n-\ttest(\"falls back to a clear recovery message when URL parsing fails\", () => {\n-\t\tconst message = buildSubmissionMessage(undefined);\n-\t\texpect(message).toContain(\"Could not parse gist URL\");\n-\t\texpect(message).toContain(\"https://openagentsessions.org/submit\");\n+\ttest(\"includes hugging face dataset URL when published there\", () => {\n+\t\tconst message = buildSubmissionMessage([\n+\t\t\t{\n+\t\t\t\tpublisher: \"huggingface\",\n+\t\t\t\tdataset: \"lukaskawerau/pi-open-agent-sessions\",\n+\t\t\t\trepoUrl: \"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions\",\n+\t\t\t\ttreeUrl: \"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\",\n+\t\t\t\tremoteDir: \"sessions/demo\",\n+\t\t\t},\n+\t\t]);\n+\t\texpect(message).toContain(\"Hugging Face dataset\");\n+\t\texpect(message).toContain(\"https://huggingface.co/datasets/lukaskawerau/pi-open-agent-sessions/tree/main/sessions/demo\");\n+\t\texpect(message).not.toContain(\"openagentsessions.org/submit\");\n+\t});\n+\n+\ttest(\"appends failures without hiding successful publications\", () => {\n+\t\tconst message = buildSubmissionMessage(\n+\t\t\t[{ publisher: \"gist\", url: \"https://gist.github.com/lukaskawerau/abcdef123456\" }],\n+\t\t\t[{ publisher: \"huggingface\", message: \"401 Unauthorized\" }],\n+\t\t);\n+\t\texpect(message).toContain(\"https://gist.github.com/lukaskawerau/abcdef123456\");\n+\t\texpect(message).toContain(\"Failed: huggingface: 401 Unauthorized\");\n \t});\n });\ndiff --git a/extensions/share-redacted-gist.ts b/extensions/share-redacted-gist.ts\nindex d907216..73cf27a 100644\n--- a/extensions/share-redacted-gist.ts\n+++ b/extensions/share-redacted-gist.ts\n@@ -5,14 +5,21 @@ import { fileURLToPath, pathToFileURL } from \"node:url\";\n \n import type { ExtensionAPI } from \"@mariozechner/pi-coding-agent\";\n \n+import { [REDACTED_OPAQUE_BASE64] } from \"./huggingface-auth\";\n+import { [REDACTED_OPAQUE], loadPublishConfig, type PublishConfig } from \"./publish-config\";\n+import { buildSubmissionMessage, publishToGist, publishToHuggingFace, type PublicationBundle, type PublisherChoice } from \"./publishers\";\n import { redactSensitive, type RedactionStat } from \"./redaction\";\n \n+export { buildSubmissionMessage } from \"./publishers\";\n+\n type ShareArgs = {\n \tsessionPath?: string;\n \tdescription?: string;\n \ttopic?: string;\n \tlanguage?: string;\n \ttags?: string;\n+\tdataset?: string;\n+\tpublisher?: PublisherChoice;\n \tyes: boolean;\n \tnoReview: boolean;\n };\n@@ -37,7 +44,7 @@ const COMMAND_NAME = \"share-redacted\";\n \n export default function shareRedactedGist(pi: ExtensionAPI) {\n \tpi.registerCommand(COMMAND_NAME, {\n-\t\tdescription: \"Publish redacted pi session + openagentsessions.json as public GitHub gist\",\n+\t\tdescription: \"Publish redacted pi session to GitHub gist and/or Hugging Face dataset\",\n \t\thandler: async (rawArgs, ctx) => {\n \t\t\tconst args = parseArgs(rawArgs);\n \t\t\tif (args instanceof Error) {\n@@ -45,6 +52,11 @@ export default function shareRedactedGist(pi: ExtensionAPI) {\n \t\t\t\treturn;\n \t\t\t}\n \n+\t\t\tconst publishConfig = loadPublishConfig(ctx.cwd);\n+\t\t\tfor (const warning of publishConfig.warnings) {\n+\t\t\t\tctx.ui.notify(warning, \"warning\");\n+\t\t\t}\n+\n \t\t\tconst sessionPath = args.sessionPath\n \t\t\t\t? resolvePath(ctx.cwd, args.sessionPath)\n \t\t\t\t: (ctx.sessionManager.getSessionFile() ?? undefined);\n@@ -114,29 +126,67 @@ export default function shareRedactedGist(pi: ExtensionAPI) {\n \t\t\t\tredaction_stats: stats,\n \t\t\t};\n \n-\t\t\tconst tmpDir = path.join(os.tmpdir(), `pi-openagentsession-${Date.now()}`);\n-\t\t\tconst sessionFilename = redactedSessionFilename(sessionPath);\n-\t\t\tconst sessionOut = path.join(tmpDir, sessionFilename);\n-\t\t\tconst metadataOut = path.join(tmpDir, \"openagentsessions.json\");\n+\t\t\tconst publisher = await resolvePublisherChoice(ctx, args, publishConfig.config);\n+\t\t\tif (!publisher) return;\n \n-\t\t\ttry {\n-\t\t\t\tawait fs.mkdir(tmpDir, { recursive: true });\n-\t\t\t\tawait fs.writeFile(sessionOut, finalSessionText, \"utf8\");\n-\t\t\t\tawait fs.writeFile(metadataOut, `${JSON.stringify(metadata, null, 2)}\\n`, \"utf8\");\n-\t\t\t} catch (error) {\n-\t\t\t\tctx.ui.notify(`Failed writing gist files: ${toErrorMessage(error)}`, \"error\");\n-\t\t\t\treturn;\n+\t\t\tlet huggingFaceDataset: string | undefined;\n+\t\t\tlet huggingFaceToken: string | undefined;\n+\t\t\tif (publisher === \"huggingface\" || publisher === \"both\") {\n+\t\t\t\thuggingFaceDataset = await resolveHuggingFaceDataset(ctx, args, publishConfig.config);\n+\t\t\t\tif (!huggingFaceDataset) {\n+\t\t\t\t\tctx.ui.notify(\"No Hugging Face dataset selected.\", \"error\");\n+\t\t\t\t\treturn;\n+\t\t\t\t}\n+\t\t\t\tconst auth = [REDACTED_SECRET] [REDACTED_OPAQUE_BASE64]();\n+\t\t\t\tif (!auth.token) {\n+\t\t\t\t\tctx.ui.notify([REDACTED_OPAQUE_BASE64](auth.authPath, auth.error), \"error\");\n+\t\t\t\t\treturn;\n+\t\t\t\t}\n+\t\t\t\thuggingFaceToken = auth.token;\n \t\t\t}\n \n-\t\t\tconst description = args.description ?? \"Open agent session (CC0)\";\n-\t\t\tconst gist = await pi.exec(\"gh\", [\"gist\", \"create\", sessionOut, metadataOut, \"--public\", \"--desc\", description]);\n-\t\t\tif (gist.code !== 0) {\n-\t\t\t\tctx.ui.notify(`gh gist create failed: ${gist.stderr.trim() || gist.stdout.trim()}`, \"error\");\n+\t\t\tconst description = args.description ?? publishConfig.config.publishers?.gist?.description ?? \"Open agent session (CC0)\";\n+\t\t\tconst bundle: PublicationBundle = {\n+\t\t\t\tsessionPath,\n+\t\t\t\tsessionFilename: redactedSessionFilename(sessionPath),\n+\t\t\t\tsessionText: finalSessionText,\n+\t\t\t\tmetadataText: `${JSON.stringify(metadata, null, 2)}\\n`,\n+\t\t\t\tcreatedAt: metadata.created_at,\n+\t\t\t\tdescription,\n+\t\t\t};\n+\n+\t\t\tconst results = [];\n+\t\t\tconst failures = [];\n+\n+\t\t\tif (publisher === \"gist\" || publisher === \"both\") {\n+\t\t\t\ttry {\n+\t\t\t\t\tresults.push(await publishToGist(pi, bundle));\n+\t\t\t\t} catch (error) {\n+\t\t\t\t\tfailures.push({ publisher: \"gist\" as const, message: toErrorMessage(error) });\n+\t\t\t\t}\n+\t\t\t}\n+\n+\t\t\tif ((publisher === \"huggingface\" || publisher === \"both\") && huggingFaceDataset && huggingFaceToken) {\n+\t\t\t\ttry {\n+\t\t\t\t\tresults.push(\n+\t\t\t\t\t\tawait publishToHuggingFace(bundle, {\n+\t\t\t\t\t\t\taccessToken: [REDACTED_SECRET],\n+\t\t\t\t\t\t\tdataset: huggingFaceDataset,\n+\t\t\t\t\t\t\tvisibility: publishConfig.config.publishers?.huggingface?.visibility,\n+\t\t\t\t\t\t\tpathPrefix: publishConfig.config.publishers?.huggingface?.pathPrefix,\n+\t\t\t\t\t\t}),\n+\t\t\t\t\t);\n+\t\t\t\t} catch (error) {\n+\t\t\t\t\tfailures.push({ publisher: \"huggingface\" as const, message: toErrorMessage(error) });\n+\t\t\t\t}\n+\t\t\t}\n+\n+\t\t\tif (results.length === 0) {\n+\t\t\t\tctx.ui.notify(buildSubmissionMessage(results, failures), \"error\");\n \t\t\t\treturn;\n \t\t\t}\n \n-\t\t\tconst url = resolvePublishedGistUrl(gist.stdout, gist.stderr);\n-\t\t\tctx.ui.notify(buildSubmissionMessage(url), \"info\");\n+\t\t\tctx.ui.notify(buildSubmissionMessage(results, failures), failures.length > 0 ? \"warning\" : \"info\");\n \t\t},\n \t});\n }\n@@ -149,7 +199,7 @@ function parseArgs(raw: string): ShareArgs | Error {\n \t\tconst token = [REDACTED_SECRET]]!;\n \t\tif (token === \"--help\") {\n \t\t\treturn new Error(\n-\t\t\t\t\"Usage: /share-redacted [--session @path] [--desc \\\"text\\\"] [--topic \\\"text\\\"] [--language ts] [--tags a,b] [--no-review] [--yes]\",\n+\t\t\t\t\"Usage: /share-redacted [--session @path] [--desc \\\"text\\\"] [--topic \\\"text\\\"] [--language ts] [--tags a,b] [--publisher gist|huggingface|both] [--dataset owner/name] [--no-review] [--yes]\",\n \t\t\t);\n \t\t}\n \t\tif (token === \"--yes\") {\n@@ -195,6 +245,22 @@ function parseArgs(raw: string): ShareArgs | Error {\n \t\t\ti++;\n \t\t\tcontinue;\n \t\t}\n+\t\tif (token === \"--dataset\") {\n+\t\t\tconst value = tokens[i + 1];\n+\t\t\tif (!value) return new Error(\"Missing value for --dataset\");\n+\t\t\targs.dataset = value.trim();\n+\t\t\ti++;\n+\t\t\tcontinue;\n+\t\t}\n+\t\tif (token === \"--publisher\" || token === \"--target\") {\n+\t\t\tconst value = tokens[i + 1];\n+\t\t\tif (!value) return new Error(`Missing value for ${token}`);\n+\t\t\tconst publisher = [REDACTED_OPAQUE](value);\n+\t\t\tif (!publisher) return new Error(`Invalid publisher: ${value}`);\n+\t\t\targs.publisher = publisher;\n+\t\t\ti++;\n+\t\t\tcontinue;\n+\t\t}\n \t\tif (token.startsWith(\"--\")) return new Error(`Unknown flag: ${token}`);\n \t\tif (!args.sessionPath) {\n \t\t\targs.sessionPath = stripAtPrefix(token);\n@@ -206,6 +272,55 @@ function parseArgs(raw: string): ShareArgs | Error {\n \treturn args;\n }\n \n+async function resolvePublisherChoice(\n+\tctx: { hasUI: boolean; ui: { select: (title: string, options: string[]) => Promise<string | undefined>; notify: (message: string, level: \"info\" | \"warning\" | \"error\") => void } },\n+\targs: ShareArgs,\n+\tconfig: PublishConfig,\n+): Promise<PublisherChoice | undefined> {\n+\tif (args.publisher) return args.publisher;\n+\n+\tconst gistEnabled = config.publishers?.gist?.enabled !== false;\n+\tconst huggingFaceEnabled = config.publishers?.huggingface?.enabled !== false && (getConfiguredDatasets(config).length > 0 || !!args.dataset);\n+\tconst available: PublisherChoice[] = [];\n+\tif (gistEnabled) available.push(\"gist\");\n+\tif (huggingFaceEnabled) available.push(\"huggingface\");\n+\n+\tif (available.length === 0) {\n+\t\tctx.ui.notify(\"No publishers configured. Enable gist and/or configure Hugging Face datasets.\", \"error\");\n+\t\treturn undefined;\n+\t}\n+\tif (available.length === 1) return available[0];\n+\tif (!ctx.hasUI) {\n+\t\tctx.ui.notify(\"Multiple publishers available. Pass --publisher gist|huggingface|both.\", \"error\");\n+\t\treturn undefined;\n+\t}\n+\n+\tconst selection = await ctx.ui.select(\"Publish to\", [\"GitHub gist\", \"Hugging Face dataset\", \"Both\"]);\n+\tif (selection === undefined) return undefined;\n+\tif (selection === \"GitHub gist\") return \"gist\";\n+\tif (selection === \"Hugging Face dataset\") return \"huggingface\";\n+\treturn \"both\";\n+}\n+\n+async function resolveHuggingFaceDataset(\n+\tctx: { hasUI: boolean; ui: { select: (title: string, options: string[]) => Promise<string | undefined> } },\n+\targs: ShareArgs,\n+\tconfig: PublishConfig,\n+): Promise<string | undefined> {\n+\tif (args.dataset?.trim()) return args.dataset.trim();\n+\n+\tconst datasets = getConfiguredDatasets(config);\n+\tif (datasets.length === 0) return undefined;\n+\tif (datasets.length === 1) return datasets[0];\n+\tif (!ctx.hasUI) return config.publishers?.huggingface?.defaultDataset?.trim() || undefined;\n+\n+\tconst defaultDataset = config.publishers?.huggingface?.defaultDataset?.trim();\n+\tconst options = defaultDataset && datasets.includes(defaultDataset)\n+\t\t? [defaultDataset, ...datasets.filter((dataset) => dataset !== defaultDataset)]\n+\t\t: datasets;\n+\treturn await ctx.ui.select(\"Hugging Face dataset\", options);\n+}\n+\n async function confirmAttestation(\n \tctx: { hasUI: boolean; ui: { confirm: (title: string, message: string) => Promise<boolean> } },\n \tyes: boolean,\n@@ -227,7 +342,7 @@ async function confirmAttestation(\n \t\t\t`Session: [REDACTED_SECRET]}`,\n \t\t\t`Redaction summary: ${summary}`,\n \t\t\t\"\",\n-\t\t\t\"Continue and create PUBLIC gist?\",\n+\t\t\t\"Continue and publish?\",\n \t\t].join(\"\\n\"),\n \t);\n }\n@@ -332,6 +447,14 @@ function tokenizeArgs(input: string): string[] {\n \treturn tokens;\n }\n \n+function parsePublisherChoice(value: string): PublisherChoice | undefined {\n+\tconst normalized = value.trim().toLowerCase();\n+\tif (normalized === \"gist\") return \"gist\";\n+\tif (normalized === \"huggingface\" || normalized === \"hf\") return \"huggingface\";\n+\tif (normalized === \"both\" || normalized === \"all\") return \"both\";\n+\treturn undefined;\n+}\n+\n function stripAtPrefix(value: string): string {\n \treturn value.startsWith(\"@\") ? value.slice(1) : value;\n }\n@@ -341,39 +464,10 @@ function resolvePath(cwd: string, value: string): string {\n \treturn path.isAbsolute(normalized) ? normalized : path.resolve(cwd, normalized);\n }\n \n-function resolvePublishedGistUrl(stdout: string, stderr: string): string | undefined {\n-\tconst combined = `${stdout}\\n${stderr}`;\n-\treturn extractGistUrl(combined) ?? extractFirstUrl(combined) ?? firstNonEmptyLine(stdout, stderr);\n-}\n-\n-function extractGistUrl(text: string): string | undefined {\n-\tconst match = text.match(/https?:\\/\\/gist\\.github\\.com\\/\\S+/);\n-\treturn sanitizeExtractedUrl(match?.[0]);\n-}\n-\n-function extractFirstUrl(text: string): string | undefined {\n-\tconst match = text.match(/https?:\\/\\/\\S+/);\n-\treturn sanitizeExtractedUrl(match?.[0]);\n-}\n-\n-function sanitizeExtractedUrl(value: string | undefined): string | undefined {\n-\treturn value?.replace(/[),.;]+$/, \"\").trim() || undefined;\n-}\n-\n-function firstNonEmptyLine(...chunks: string[]): string | undefined {\n-\tfor (const chunk of chunks) {\n-\t\tfor (const line of chunk.split(/\\r?\\n/)) {\n-\t\t\tconst trimmed = line.trim();\n-\t\t\tif (trimmed) return trimmed;\n-\t\t}\n-\t}\n-\treturn undefined;\n-}\n-\n-export function buildSubmissionMessage(url: string | undefined): string {\n-\tconst submitUrl = \"https://openagentsessions.org/submit\";\n-\tif (url) return `Gist: ${url} — submit at ${submitUrl} and paste that URL`;\n-\treturn `Public gist created. Submit at ${submitUrl}. Could not parse gist URL from gh output.`;\n+function buildHuggingFaceAuthMessage(authPath: string, detail?: string): string {\n+\tconst hint = [`No Hugging Face token. Set HF_TOKEN or add {\\\"huggingface\\\":{\\\"type\\\":\\\"api_key\\\",\\\"key\\\":\\\"hf_...\\\"}} to ${authPath}.`];\n+\tif (detail) hint.push(detail);\n+\treturn hint.join(\" \");\n }\n \n function collectUsernames(): string[] {\ndiff --git a/package.json b/package.json\nindex b9135e8..47603a2 100644\n--- a/package.json\n+++ b/package.json\n@@ -1,7 +1,7 @@\n {\n   \"name\": \"pi-share-redacted-gist\",\n   \"version\": \"0.5.0\",\n-  \"description\": \"Pi package: publish a redacted pi session as a public GitHub gist\",\n+  \"description\": \"Pi package: publish a redacted pi session to GitHub gists and Hugging Face datasets\",\n   \"type\": \"module\",\n   \"license\": \"MIT\",\n   \"keywords\": [\n@@ -10,6 +10,7 @@\n     \"pi-extension\",\n     \"gist\",\n     \"github\",\n+    \"huggingface\",\n     \"redaction\",\n     \"openagentsessions\"\n   ],\n@@ -43,5 +44,8 @@\n   \"homepage\": \"https://github.com/lukaskawerau/pi-share-redacted-gist#readme\",\n   \"bugs\": {\n     \"url\": \"https://github.com/lukaskawerau/pi-share-redacted-gist/issues\"\n+  },\n+  \"dependencies\": {\n+    \"@huggingface/hub\": \"^2.11.0\"\n   }\n }\n"}],"isError":false,"timestamp":1774713973293}}
{"type":"message","id":"a09dfbbc","parentId":"18fbbe2a","timestamp":"2026-03-28T16:06:13.295Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"     499 extensions/share-redacted-gist.ts\n     180 extensions/publishers.ts\n     102 extensions/publish-config.ts\n      98 extensions/huggingface-auth.ts\n     879 total\n"}],"isError":false,"timestamp":1774713973294}}
{"type":"message","id":"426f8f13","parentId":"a09dfbbc","timestamp":"2026-03-28T16:06:29.051Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Evaluating potential issues**\n\nI'm considering whether the `buildSubmissionMessage` type is not exported from main, which seems to be an issue. Tests with a shell command could be slower, but that’s manageable. There's also a problem with documentation missing due to a lack of a TSX list. I need to check if `bun.lock` is being tracked correctly. Additionally, I noticed that the pattern for including new `.ts` modules seems right, despite tests being excluded. It might be a good idea to keep the `publishers` file line count under 500.\n\n**Inspecting package files**\n\nI'm trying to figure out if there's an issue with the local node_modules. Maybe there's no bun.lock file present. I'm wondering if the package manager will publish a lock file if it's not found in the files. Actually, I think packages include package.json and bun.lock by default. Npm pack should include everything except what's in .npmignore, but I need to check what’s listed there. Let's inspect .npmignore to clarify this further!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating potential issues**\\n\\nI'm considering whether the `buildSubmissionMessage` type is not exported from main, which seems to be an issue. Tests with a shell command could be slower, but that’s manageable. There's also a problem with documentation missing due to a lack of a TSX list. I need to check if `bun.lock` is being tracked correctly. Additionally, I noticed that the pattern for including new `.ts` modules seems right, despite tests being excluded. It might be a good idea to keep the `publishers` file line count under 500.\"},{\"type\":\"summary_text\",\"text\":\"**Inspecting package files**\\n\\nI'm trying to figure out if there's an issue with the local node_modules. Maybe there's no bun.lock file present. I'm wondering if the package manager will publish a lock file if it's not found in the files. Actually, I think packages include package.json and bun.lock by default. Npm pack should include everything except what's in .npmignore, but I need to check what’s listed there. Let's inspect .npmignore to clarify this further!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"read","arguments":{"path":".npmignore"},"partialJson":"{\"path\":\".npmignore\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":6104,"output":605,"cacheRead":103424,"cacheWrite":0,"totalTokens":110133,"cost":{"input":0.015260000000000001,"output":0.009075,"cacheRead":0.025856,"cacheWrite":0,"total":0.050191}},"stopReason":"toolUse","timestamp":1774713973295,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"e92d95bd","parentId":"426f8f13","timestamp":"2026-03-28T16:06:29.057Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"read","content":[{"type":"text","text":"AGENTS.md\nCLAUDE.md\nextensions/*.test.ts\n"}],"isError":false,"timestamp":1774713989056}}
{"type":"message","id":"ec10a244","parentId":"e92d95bd","timestamp":"2026-03-28T16:06:34.017Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering publishing process**\n\nI’m thinking that bun.lock will publish unless I exclude it, which might be acceptable but not exactly what I want. Usually, having it locked is okay since the repo uses bun. I need to consider running npm pack dry-run for the gate to check various aspects as the docs suggest, including linting, type checking, tests, and documentation. The scripts available could allow me to run pack:check, so I’ll go ahead and do that.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering publishing process**\\n\\nI’m thinking that bun.lock will publish unless I exclude it, which might be acceptable but not exactly what I want. Usually, having it locked is okay since the repo uses bun. I need to consider running npm pack dry-run for the gate to check various aspects as the docs suggest, including linting, type checking, tests, and documentation. The scripts available could allow me to run pack:check, so I’ll go ahead and do that.\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"npm pack --dry-run","timeout":120},"partialJson":"{\"command\":\"npm pack --dry-run\",\"timeout\":120}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":205,"output":99,"cacheRead":109952,"cacheWrite":0,"totalTokens":110256,"cost":{"input":0.0005125,"output":0.001485,"cacheRead":0.027488,"cacheWrite":0,"total":0.029485499999999998}},"stopReason":"toolUse","timestamp":1774713989057,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"57110b0e","parentId":"ec10a244","timestamp":"2026-03-28T16:06:34.489Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"npm notice\nnpm notice 📦  pi-share-redacted-gist@0.5.0\nnpm notice Tarball Contents\nnpm notice 2.9kB CHANGELOG.md\nnpm notice 1.1kB LICENSE\nnpm notice 3.6kB README.md\nnpm notice 3.2kB extensions/huggingface-auth.ts\nnpm notice 2.8kB extensions/publish-config.ts\nnpm notice 5.7kB extensions/publishers.ts\nnpm notice 4.2kB extensions/redaction.ts\nnpm notice 5.4kB extensions/review-apply.ts\nnpm notice 14.7kB extensions/review-model.ts\nnpm notice 19.1kB extensions/review-ui.ts\nnpm notice 18.1kB extensions/secret-scanner.ts\nnpm notice 16.3kB extensions/share-redacted-gist.ts\nnpm notice 1.2kB package.json\nnpm notice Tarball Details\nnpm notice name: pi-share-redacted-gist\nnpm notice version: 0.5.0\nnpm notice filename: pi-share-redacted-gist-0.5.0.tgz\nnpm notice package size: 25.5 kB\nnpm notice unpacked size: 98.3 kB\nnpm notice shasum: [REDACTED_OPAQUE_HEX]\nnpm notice integrity: [REDACTED_OPAQUE][...]hmzXKRkt2DaiQ==\nnpm notice total files: 13\nnpm notice\npi-share-redacted-gist-0.5.0.tgz\n"}],"isError":false,"timestamp":1774713994489}}
{"type":"message","id":"f9eed43a","parentId":"57110b0e","timestamp":"2026-03-28T16:06:45.972Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Fixing submission logic**\n\nI’m noticing that when there are no successes, the message “Publish completed. — Failed: ...” feels silly, so I need to fix that. If there are no lines and only failures, it should maybe just say “Publish failed...” and skip “Publish completed.” I’ll tweak the `buildSubmissionMessage` function to reflect this. If a gist exists but the URL is undefined with no HF, I’ll still want to mention the public gist created. Let's adjust that logic a bit!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Fixing submission logic**\\n\\nI’m noticing that when there are no successes, the message “Publish completed. — Failed: ...” feels silly, so I need to fix that. If there are no lines and only failures, it should maybe just say “Publish failed...” and skip “Publish completed.” I’ll tweak the `buildSubmissionMessage` function to reflect this. If a gist exists but the URL is undefined with no HF, I’ll still want to mention the public gist created. Let's adjust that logic a bit!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"edit","arguments":{"path":"extensions/publishers.ts","oldText":"\tif (gist?.publisher === \"gist\") {\n\t\tlines.push(`Submit at ${submitUrl} and paste the gist URL`);\n\t} else if (lines.length === 0) {\n\t\tlines.push(\"Publish completed.\");\n\t}\n","newText":"\tif (gist?.publisher === \"gist\") {\n\t\tlines.push(`Submit at ${submitUrl} and paste the gist URL`);\n\t} else if (lines.length === 0) {\n\t\tlines.push(failures.length > 0 ? \"Publish failed.\" : \"Publish completed.\");\n\t}\n"},"partialJson":"{\"path\":\"extensions/publishers.ts\",\"oldText\":\"\\tif (gist?.publisher === \\\"gist\\\") {\\n\\t\\tlines.push(`Submit at ${submitUrl} and paste the gist URL`);\\n\\t} else if (lines.length === 0) {\\n\\t\\tlines.push(\\\"Publish completed.\\\");\\n\\t}\\n\",\"newText\":\"\\tif (gist?.publisher === \\\"gist\\\") {\\n\\t\\tlines.push(`Submit at ${submitUrl} and paste the gist URL`);\\n\\t} else if (lines.length === 0) {\\n\\t\\tlines.push(failures.length > 0 ? \\\"Publish failed.\\\" : \\\"Publish completed.\\\");\\n\\t}\\n\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":541,"output":555,"cacheRead":110080,"cacheWrite":0,"totalTokens":111176,"cost":{"input":0.0013525000000000002,"output":0.008325,"cacheRead":0.02752,"cacheWrite":0,"total":0.0371975}},"stopReason":"toolUse","timestamp":1774713994490,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"b4fb9723","parentId":"f9eed43a","timestamp":"2026-03-28T16:06:45.987Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in extensions/publishers.ts."}],"details":{"diff":"     ...\n 109 \t}\n 110 \tif (gist?.publisher === \"gist\") {\n 111 \t\tlines.push(`Submit at ${submitUrl} and paste the gist URL`);\n 112 \t} else if (lines.length === 0) {\n-113 \t\tlines.push(\"Publish completed.\");\n+113 \t\tlines.push(failures.length > 0 ? \"Publish failed.\" : \"Publish completed.\");\n 114 \t}\n 115 \tif (failures.length > 0) {\n 116 \t\tlines.push(`Failed: ${failures.map((failure) => `${failure.publisher}: ${failure.message}`).join(\"; \")}`);\n 117 \t}\n     ...","firstChangedLine":113},"isError":false,"timestamp":1774714005985}}
{"type":"message","id":"9347ada8","parentId":"b4fb9723","timestamp":"2026-03-28T16:06:55.535Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering test expansion**\n\nI’m thinking about whether I need to add tests for all failures. It might not be strictly necessary, but on the other hand, it could be a good idea. I'm curious if a quick test like `buildSubmissionMessage([], failures)` might provide benefit. So, I’m considering that addition, just to be thorough and ensure everything is covered. It's all about making sure my logic is sound!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering test expansion**\\n\\nI’m thinking about whether I need to add tests for all failures. It might not be strictly necessary, but on the other hand, it could be a good idea. I'm curious if a quick test like `buildSubmissionMessage([], failures)` might provide benefit. So, I’m considering that addition, just to be thorough and ensure everything is covered. It's all about making sure my logic is sound!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"edit","arguments":{"path":"extensions/share-redacted-gist.test.ts","edits":[{"oldText":"\ttest(\"appends failures without hiding successful publications\", () => {\n\t\tconst message = buildSubmissionMessage(\n\t\t\t[{ publisher: \"gist\", url: \"https://gist.github.com/lukaskawerau/abcdef123456\" }],\n\t\t\t[{ publisher: \"huggingface\", message: \"401 Unauthorized\" }],\n\t\t);\n\t\texpect(message).toContain(\"https://gist.github.com/lukaskawerau/abcdef123456\");\n\t\texpect(message).toContain(\"Failed: huggingface: 401 Unauthorized\");\n\t});\n});\n","newText":"\ttest(\"appends failures without hiding successful publications\", () => {\n\t\tconst message = buildSubmissionMessage(\n\t\t\t[{ publisher: \"gist\", url: \"https://gist.github.com/lukaskawerau/abcdef123456\" }],\n\t\t\t[{ publisher: \"huggingface\", message: \"401 Unauthorized\" }],\n\t\t);\n\t\texpect(message).toContain(\"https://gist.github.com/lukaskawerau/abcdef123456\");\n\t\texpect(message).toContain(\"Failed: huggingface: 401 Unauthorized\");\n\t});\n\n\ttest(\"reports pure publish failures clearly\", () => {\n\t\tconst message = buildSubmissionMessage([], [{ publisher: \"huggingface\", message: \"401 Unauthorized\" }]);\n\t\texpect(message).toContain(\"Publish failed.\");\n\t\texpect(message).toContain(\"Failed: huggingface: 401 Unauthorized\");\n\t});\n});\n"}]},"partialJson":"{\"path\":\"extensions/share-redacted-gist.test.ts\",\"edits\":[{\"oldText\":\"\\ttest(\\\"appends failures without hiding successful publications\\\", () => {\\n\\t\\tconst message = buildSubmissionMessage(\\n\\t\\t\\t[{ publisher: \\\"gist\\\", url: \\\"https://gist.github.com/lukaskawerau/abcdef123456\\\" }],\\n\\t\\t\\t[{ publisher: \\\"huggingface\\\", message: \\\"401 Unauthorized\\\" }],\\n\\t\\t);\\n\\t\\texpect(message).toContain(\\\"https://gist.github.com/lukaskawerau/abcdef123456\\\");\\n\\t\\texpect(message).toContain(\\\"Failed: huggingface: 401 Unauthorized\\\");\\n\\t});\\n});\\n\",\"newText\":\"\\ttest(\\\"appends failures without hiding successful publications\\\", () => {\\n\\t\\tconst message = buildSubmissionMessage(\\n\\t\\t\\t[{ publisher: \\\"gist\\\", url: \\\"https://gist.github.com/lukaskawerau/abcdef123456\\\" }],\\n\\t\\t\\t[{ publisher: \\\"huggingface\\\", message: \\\"401 Unauthorized\\\" }],\\n\\t\\t);\\n\\t\\texpect(message).toContain(\\\"https://gist.github.com/lukaskawerau/abcdef123456\\\");\\n\\t\\texpect(message).toContain(\\\"Failed: huggingface: 401 Unauthorized\\\");\\n\\t});\\n\\n\\ttest(\\\"reports pure publish failures clearly\\\", () => {\\n\\t\\tconst message = buildSubmissionMessage([], [{ publisher: \\\"huggingface\\\", message: \\\"401 Unauthorized\\\" }]);\\n\\t\\texpect(message).toContain(\\\"Publish failed.\\\");\\n\\t\\texpect(message).toContain(\\\"Failed: huggingface: 401 Unauthorized\\\");\\n\\t});\\n});\\n\"}]}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":220,"output":432,"cacheRead":110976,"cacheWrite":0,"totalTokens":111628,"cost":{"input":0.00055,"output":0.0064800000000000005,"cacheRead":0.027743999999999998,"cacheWrite":0,"total":0.034774}},"stopReason":"toolUse","timestamp":1774714005987,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"0b1257e0","parentId":"9347ada8","timestamp":"2026-03-28T16:06:55.567Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in extensions/share-redacted-gist.test.ts."}],"details":{"diff":"    ...\n 34 \t\t);\n 35 \t\texpect(message).toContain(\"https://gist.github.com/lukaskawerau/abcdef123456\");\n 36 \t\texpect(message).toContain(\"Failed: huggingface: 401 Unauthorized\");\n 37 \t});\n+38 \n+39 \ttest(\"reports pure publish failures clearly\", () => {\n+40 \t\tconst message = buildSubmissionMessage([], [{ publisher: \"huggingface\", message: \"401 Unauthorized\" }]);\n+41 \t\texpect(message).toContain(\"Publish failed.\");\n+42 \t\texpect(message).toContain(\"Failed: huggingface: 401 Unauthorized\");\n+43 \t});\n 38 });","firstChangedLine":38},"isError":false,"timestamp":1774714015566}}
{"type":"message","id":"75c837ab","parentId":"0b1257e0","timestamp":"2026-03-28T16:06:59.408Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"bun test && npm pack --dry-run >/tmp/pack.txt && tail -n 5 /tmp/pack.txt","timeout":120},"partialJson":"{\"command\":\"bun test && npm pack --dry-run >/tmp/pack.txt && tail -n 5 /tmp/pack.txt\",\"timeout\":120}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":42407,"output":59,"cacheRead":69248,"cacheWrite":0,"totalTokens":111714,"cost":{"input":0.10601750000000001,"output":0.000885,"cacheRead":0.017311999999999998,"cacheWrite":0,"total":0.1242145}},"stopReason":"toolUse","timestamp":1774714015567,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"763f1701","parentId":"75c837ab","timestamp":"2026-03-28T16:07:00.619Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"bun test v1.3.6 (d530ed99)\n\nextensions/review-model.test.ts:\n(pass) buildReviewModel > extracts readable blocks and suspicious values from message content plus tool calls [6.70ms]\n(pass) buildReviewModel > hides marked-safe signatures [0.29ms]\n(pass) buildReviewModel > strips ansi and control sequences from display lines [0.68ms]\n(pass) buildReviewModel > does not flag file line references as sensitive assignments [0.31ms]\n(pass) manual redactions > applies literal rules globally [0.27ms]\n(pass) manual redactions > parses slash regex rules and replaces all matches [0.11ms]\n\nextensions/redaction.test.ts:\n(pass) redactSensitive > redacts structured JSONL string values [1.41ms]\n(pass) redactSensitive > redacts sufficiently random base64ish tokens [0.48ms]\n(pass) redactSensitive > redacts sufficiently random hex tokens [0.31ms]\n(pass) redactSensitive > keeps commit hashes in safe git context [0.18ms]\n(pass) redactSensitive > keeps model-like slugs [0.08ms]\n(pass) redactSensitive > redacts uuids with a dedicated placeholder [0.05ms]\n(pass) redactSensitive > falls back to raw text redaction for non-JSON lines [0.13ms]\n(pass) redactSensitive > redacts private key blocks inside structured strings [0.32ms]\n\nextensions/share-redacted-gist.test.ts:\n(pass) buildSubmissionMessage > includes gist URL in the final user-facing message [0.22ms]\n(pass) buildSubmissionMessage > includes hugging face dataset URL when published there [0.07ms]\n(pass) buildSubmissionMessage > appends failures without hiding successful publications\n(pass) buildSubmissionMessage > reports pure publish failures clearly\n\nextensions/huggingface-auth.test.ts:\n(pass) [REDACTED_OPAQUE_BASE64] > returns literal token values unchanged [0.21ms]\n(pass) [REDACTED_OPAQUE_BASE64] > resolves environment variable references [0.07ms]\n(pass) resolveConfiguredSecretValue > resolves shell command references [227.99ms]\n\nextensions/secret-scanner.test.ts:\n(pass) secret scanner > initializes detect-secrets style built-ins\n(pass) secret scanner > detects provider tokens before generic keyword matches\n(pass) secret scanner > detects hugging face tokens before keyword fallback [0.39ms]\n(pass) secret scanner > detects private key blocks [0.22ms]\n(pass) secret scanner > keeps safe commit hashes out of entropy matches [0.07ms]\n\n 26 pass\n 0 fail\n 58 expect() calls\nRan 26 tests across 5 files. [705.00ms]\nnpm notice\nnpm notice 📦  pi-share-redacted-gist@0.5.0\nnpm notice Tarball Contents\nnpm notice 2.9kB CHANGELOG.md\nnpm notice 1.1kB LICENSE\nnpm notice 3.6kB README.md\nnpm notice 3.2kB extensions/huggingface-auth.ts\nnpm notice 2.8kB extensions/publish-config.ts\nnpm notice 5.7kB extensions/publishers.ts\nnpm notice 4.2kB extensions/redaction.ts\nnpm notice 5.4kB extensions/review-apply.ts\nnpm notice 14.7kB extensions/review-model.ts\nnpm notice 19.1kB extensions/review-ui.ts\nnpm notice 18.1kB extensions/secret-scanner.ts\nnpm notice 16.3kB extensions/share-redacted-gist.ts\nnpm notice 1.2kB package.json\nnpm notice Tarball Details\nnpm notice name: pi-share-redacted-gist\nnpm notice version: 0.5.0\nnpm notice filename: pi-share-redacted-gist-0.5.0.tgz\nnpm notice package size: 25.5 kB\nnpm notice unpacked size: 98.3 kB\nnpm notice shasum: [REDACTED_OPAQUE_HEX]\nnpm notice integrity: sha512-A422hWAWWiR5b[...]8i7eyzIQEM+Kw==\nnpm notice total files: 13\nnpm notice\npi-share-redacted-gist-0.5.0.tgz\n"}],"isError":false,"timestamp":1774714020618}}
{"type":"message","id":"92844ff2","parentId":"763f1701","timestamp":"2026-03-28T16:07:03.906Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"bun run check","timeout":120},"partialJson":"{\"command\":\"bun run check\",\"timeout\":120}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1137,"output":49,"cacheRead":111488,"cacheWrite":0,"totalTokens":112674,"cost":{"input":0.0028425000000000004,"output":0.000735,"cacheRead":0.027871999999999997,"cacheWrite":0,"total":0.0314495}},"stopReason":"toolUse","timestamp":1774714020620,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"7ea78e4c","parentId":"92844ff2","timestamp":"2026-03-28T16:07:04.679Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"$ bun test && bun -e \"import('./extensions/share-redacted-gist.ts').then(() => console.log('ok'))\"\nbun test v1.3.6 (d530ed99)\n\nextensions/review-model.test.ts:\n(pass) buildReviewModel > extracts readable blocks and suspicious values from message content plus tool calls [3.74ms]\n(pass) buildReviewModel > hides marked-safe signatures [0.23ms]\n(pass) buildReviewModel > strips ansi and control sequences from display lines [0.26ms]\n(pass) buildReviewModel > does not flag file line references as sensitive assignments [0.33ms]\n(pass) manual redactions > applies literal rules globally [0.25ms]\n(pass) manual redactions > parses slash regex rules and replaces all matches [0.38ms]\n\nextensions/redaction.test.ts:\n(pass) redactSensitive > redacts structured JSONL string values [0.84ms]\n(pass) redactSensitive > redacts sufficiently random base64ish tokens [0.47ms]\n(pass) redactSensitive > redacts sufficiently random hex tokens [0.24ms]\n(pass) redactSensitive > keeps commit hashes in safe git context [0.03ms]\n(pass) redactSensitive > keeps model-like slugs [0.13ms]\n(pass) redactSensitive > redacts uuids with a dedicated placeholder [0.07ms]\n(pass) redactSensitive > falls back to raw text redaction for non-JSON lines [0.13ms]\n(pass) redactSensitive > redacts private key blocks inside structured strings [0.22ms]\n\nextensions/share-redacted-gist.test.ts:\n(pass) buildSubmissionMessage > includes gist URL in the final user-facing message [0.14ms]\n(pass) buildSubmissionMessage > includes hugging face dataset URL when published there\n(pass) buildSubmissionMessage > appends failures without hiding successful publications\n(pass) buildSubmissionMessage > reports pure publish failures clearly\n\nextensions/huggingface-auth.test.ts:\n(pass) [REDACTED_OPAQUE_BASE64] > returns literal token values unchanged [0.24ms]\n(pass) [REDACTED_OPAQUE_BASE64] > resolves environment variable references [0.05ms]\n(pass) resolveConfiguredSecretValue > resolves shell command references [169.80ms]\n\nextensions/secret-scanner.test.ts:\n(pass) secret scanner > initializes detect-secrets style built-ins\n(pass) secret scanner > detects provider tokens before generic keyword matches [0.33ms]\n(pass) secret scanner > detects hugging face tokens before keyword fallback [0.31ms]\n(pass) secret scanner > detects private key blocks [0.18ms]\n(pass) secret scanner > keeps safe commit hashes out of entropy matches [0.10ms]\n\n 26 pass\n 0 fail\n 58 expect() calls\nRan 26 tests across 5 files. [462.00ms]\nok\n"}],"isError":false,"timestamp":1774714024678}}
{"type":"message","id":"421179aa","parentId":"7ea78e4c","timestamp":"2026-03-28T16:07:07.753Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"git status --short","timeout":20},"partialJson":"{\"command\":\"git status --short\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1643,"output":81,"cacheRead":111616,"cacheWrite":0,"totalTokens":113340,"cost":{"input":0.0041075,"output":0.001215,"cacheRead":0.027903999999999998,"cacheWrite":0,"total":0.0332265}},"stopReason":"toolUse","timestamp":1774714024679,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"3e50cc23","parentId":"421179aa","timestamp":"2026-03-28T16:07:07.792Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":" M CHANGELOG.md\n M README.md\n M extensions/secret-scanner.test.ts\n M extensions/secret-scanner.ts\n M extensions/share-redacted-gist.test.ts\n M extensions/share-redacted-gist.ts\n M package.json\n?? bun.lock\n?? extensions/huggingface-auth.test.ts\n?? extensions/huggingface-auth.ts\n?? extensions/publish-config.ts\n?? extensions/publishers.ts\n"}],"isError":false,"timestamp":1774714027791}}
{"type":"message","id":"5d8fc5c0","parentId":"3e50cc23","timestamp":"2026-03-28T16:07:20.431Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Finalizing user tasks**\n\nI think I don't need to commit since the user hasn't asked for that, which is good! I'll stick to a concise, telegraph-style response. Starting with a friendly greeting and a motivating statement seems great—something like “Hi there! You're doing awesome!” I should also mention that everything's done, including files and behavior verification. It might be good to highlight the config path example, dependency health check, and passed tests, while keeping it minimal.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Finalizing user tasks**\\n\\nI think I don't need to commit since the user hasn't asked for that, which is good! I'll stick to a concise, telegraph-style response. Starting with a friendly greeting and a motivating statement seems great—something like “Hi there! You're doing awesome!” I should also mention that everything's done, including files and behavior verification. It might be good to highlight the config path example, dependency health check, and passed tests, while keeping it minimal.\"}]}"},{"type":"text","text":"Hi — shipped; shape now sane.\n\nDone.\n\n### Added\n- Hugging Face dataset publish via `@huggingface/hub`\n- token auth via:\n  - `HF_TOKEN`\n  - `~/.pi/agent/auth.json` → `huggingface`\n  - auth.json indirection too: env var names / `!shell command`\n- merged config files:\n  - `~/.pi/agent/pi-share-redacted-gist.json`\n  - `<cwd>/.pi/pi-share-redacted-gist.json`\n- explicit `hf_...` token detection/redaction\n\n### Command changes\n`/share-redacted` now supports:\n\n- `--publisher gist|huggingface|both`\n- `--dataset owner/name`\n\nIf both gist + HF configured and UI available:\n- publisher picker\n- dataset picker\n\nHF uploads go to:\n- `sessions/<timestamp>-<session-name>/...`\n\n### Main files\n- `extensions/share-redacted-gist.ts`\n- `extensions/publishers.ts`\n- `extensions/publish-config.ts`\n- `extensions/huggingface-auth.ts`\n- `extensions/secret-scanner.ts`\n- `README.md`\n- `CHANGELOG.md`\n- `package.json`\n- `bun.lock`\n\n### Config example\n```json\n{\n  \"publishers\": {\n    \"gist\": {\n      \"enabled\": true\n    },\n    \"huggingface\": {\n      \"enabled\": true,\n      \"datasets\": [\n        \"lukaskawerau/pi-open-agent-sessions\",\n        \"my-org/internal-agent-sessions\"\n      ],\n      \"defaultDataset\": \"lukaskawerau/pi-open-agent-sessions\",\n      \"visibility\": \"public\",\n      \"pathPrefix\": \"sessions\"\n    }\n  }\n}\n```\n\n### Auth example\n```json\n{\n  \"huggingface\": { \"type\": \"api_key\", \"key\": \"hf_...\" }\n}\n```\n\n### Verify\n- `bun test` ✅\n- `bun run check` ✅\n- `npm pack --dry-run` ✅\n\n### Dependency check\n- `@huggingface/hub@2.11.0`\n- official HF package\n- active; npm modified `2026-03-11`\n\nOne opinion:\n- token auth first = correct\n- OAuth here would’ve been yak-shaving with a fake moustache\n\nIf you want next:\n- I can add command arg autocomplete for configured dataset names\n- and/or commit this with a conventional message.","textSignature":"{\"v\":1,\"id\":\"[REDACTED_OPAQUE]\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":285,"output":588,"cacheRead":113152,"cacheWrite":0,"totalTokens":114025,"cost":{"input":0.0007125,"output":0.00882,"cacheRead":0.028287999999999997,"cacheWrite":0,"total":0.03782049999999999}},"stopReason":"stop","timestamp":1774714027792,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"6e343ca0","parentId":"5d8fc5c0","timestamp":"2026-03-28T16:10:10.472Z","message":{"role":"user","content":[{"type":"text","text":"Perfect! Let's set this up for me, and I'll paste you the token to insert: [REDACTED_TOKEN] and then we'll see how well this works!"}],"timestamp":1774714210465}}
{"type":"message","id":"7787cdec","parentId":"6e343ca0","timestamp":"2026-03-28T16:10:35.384Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"python - <<'PY'\nimport json, os\npath=os.path.expanduser('~/.pi/agent/auth.json')\nif os.path.exists(path):\n    try:\n        data=json.load(open(path))\n        print('auth.json exists')\n        print('top-level keys:', ', '.join(sorted(data.keys())) or '(none)')\n    except Exception as e:\n        print('auth.json exists but unreadable:', e)\nelse:\n    print('auth.json missing')\nPY","timeout":20},"partialJson":"{\"command\":\"python - <<'PY'\\nimport json, os\\npath=os.path.expanduser('~/.pi/agent/auth.json')\\nif os.path.exists(path):\\n    try:\\n        data=json.load(open(path))\\n        print('auth.json exists')\\n        print('top-level keys:', ', '.join(sorted(data.keys())) or '(none)')\\n    except Exception as e:\\n        print('auth.json exists but unreadable:', e)\\nelse:\\n    print('auth.json missing')\\nPY\",\"timeout\":20}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"python - <<'PY'\nimport os, json\npath=os.path.expanduser('~/.pi/agent/pi-share-redacted-gist.json')\nif os.path.exists(path):\n    try:\n        data=json.load(open(path))\n        print('config exists')\n        print('publishers keys:', ', '.join(sorted((data.get('publishers') or {}).keys())) or '(none)')\n    except Exception as e:\n        print('config exists but unreadable:', e)\nelse:\n    print('config missing')\nPY","timeout":20},"partialJson":"{\"command\":\"python - <<'PY'\\nimport os, json\\npath=os.path.expanduser('~/.pi/agent/pi-share-redacted-gist.json')\\nif os.path.exists(path):\\n    try:\\n        data=json.load(open(path))\\n        print('config exists')\\n        print('publishers keys:', ', '.join(sorted((data.get('publishers') or {}).keys())) or '(none)')\\n    except Exception as e:\\n        print('config exists but unreadable:', e)\\nelse:\\n    print('config missing')\\nPY\",\"timeout\":20}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"python - <<'PY'\nimport json, urllib.request\nTOKEN='[REDACTED_TOKEN]'\nreq=urllib.request.Request('https://huggingface.co/api/whoami-v2', headers={'Authorization': f'Bearer {TOKEN}'})\nwith urllib.request.urlopen(req, timeout=20) as r:\n    data=json.load(r)\nprint('name:', data.get('name'))\nprint('type:', data.get('type'))\nPY","timeout":30},"partialJson":"{\"command\":\"python - <<'PY'\\nimport json, urllib.request\\nTOKEN='[REDACTED_TOKEN]'\\nreq=urllib.request.Request('https://huggingface.co/api/whoami-v2', headers={'Authorization': f'Bearer {TOKEN}'})\\nwith urllib.request.urlopen(req, timeout=20) as r:\\n    data=json.load(r)\\nprint('name:', data.get('name'))\\nprint('type:', data.get('type'))\\nPY\",\"timeout\":30}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":51960,"output":938,"cacheRead":48512,"cacheWrite":0,"totalTokens":101410,"cost":{"input":0.12990000000000002,"output":0.014070000000000001,"cacheRead":0.012128,"cacheWrite":0,"total":0.15609800000000001}},"stopReason":"toolUse","timestamp":1774714210466,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"5a09852c","parentId":"7787cdec","timestamp":"2026-03-28T16:10:35.595Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"auth.json exists\ntop-level keys: google-antigravity, openai-codex\n"}],"isError":false,"timestamp":1774714235595}}
{"type":"message","id":"0d85d24b","parentId":"5a09852c","timestamp":"2026-03-28T16:10:35.604Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"config missing\n"}],"isError":false,"timestamp":1774714235604}}
{"type":"message","id":"958be720","parentId":"0d85d24b","timestamp":"2026-03-28T16:10:36.398Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"name: lukaskawerau\ntype: user\n"}],"isError":false,"timestamp":1774714236397}}
{"type":"message","id":"271a5b8d","parentId":"958be720","timestamp":"2026-03-28T16:10:46.664Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"python - <<'PY'\nimport json, os, stat\nagent_dir=os.path.expanduser('~/.pi/agent')\nos.makedirs(agent_dir, exist_ok=True)\nauth_path=os.path.join(agent_dir, 'auth.json')\ntry:\n    with open(auth_path) as f:\n        auth=[REDACTED_SECRET]\nexcept FileNotFoundError:\n    auth={}\nauth['huggingface']={\n    'type':'api_key',\n    'key':'[REDACTED_TOKEN]'\n}\nwith open(auth_path, 'w') as f:\n    json.dump(auth, f, indent=2)\n    f.write('\\n')\nos.chmod(auth_path, 0o600)\n\nconfig_path=os.path.join(agent_dir, 'pi-share-redacted-gist.json')\nconfig={\n    'publishers': {\n        'gist': {'enabled': True},\n        'huggingface': {\n            'enabled': True,\n            'datasets': ['lukaskawerau/pi-open-agent-sessions'],\n            'defaultDataset': 'lukaskawerau/pi-open-agent-sessions',\n            'visibility': 'public',\n            'pathPrefix': 'sessions'\n        }\n    }\n}\nwith open(config_path, 'w') as f:\n    json.dump(config, f, indent=2)\n    f.write('\\n')\nprint('updated', auth_path)\nprint('wrote', config_path)\nPY","timeout":20},"partialJson":"{\"command\":\"python - <<'PY'\\nimport json, os, stat\\nagent_dir=os.path.expanduser('~/.pi/agent')\\nos.makedirs(agent_dir, exist_ok=True)\\nauth_path=os.path.join(agent_dir, 'auth.json')\\ntry:\\n    with open(auth_path) as f:\\n        auth=[REDACTED_SECRET] FileNotFoundError:\\n    auth={}\\nauth['huggingface']={\\n    'type':'api_key',\\n    'key':'[REDACTED_TOKEN]'\\n}\\nwith open(auth_path, 'w') as f:\\n    json.dump(auth, f, indent=2)\\n    f.write('\\\\n')\\nos.chmod(auth_path, 0o600)\\n\\nconfig_path=os.path.join(agent_dir, 'pi-share-redacted-gist.json')\\nconfig={\\n    'publishers': {\\n        'gist': {'enabled': True},\\n        'huggingface': {\\n            'enabled': True,\\n            'datasets': ['lukaskawerau/pi-open-agent-sessions'],\\n            'defaultDataset': 'lukaskawerau/pi-open-agent-sessions',\\n            'visibility': 'public',\\n            'pathPrefix': 'sessions'\\n        }\\n    }\\n}\\nwith open(config_path, 'w') as f:\\n    json.dump(config, f, indent=2)\\n    f.write('\\\\n')\\nprint('updated', auth_path)\\nprint('wrote', config_path)\\nPY\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":225,"output":481,"cacheRead":101248,"cacheWrite":0,"totalTokens":101954,"cost":{"input":0.0005625000000000001,"output":0.007215,"cacheRead":0.025311999999999998,"cacheWrite":0,"total":0.033089499999999994}},"stopReason":"toolUse","timestamp":1774714236398,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"56f9c8de","parentId":"271a5b8d","timestamp":"2026-03-28T16:10:46.830Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"updated [REDACTED_HOME_DIR]/.pi/agent/auth.json\nwrote [REDACTED_HOME_DIR]/.pi/agent/pi-share-redacted-gist.json\n"}],"isError":false,"timestamp":1774714246830}}
{"type":"message","id":"a3b6e643","parentId":"56f9c8de","timestamp":"2026-03-28T16:10:56.132Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"bun - <<'BUN'\nimport { repoExists, whoAmI } from '@huggingface/hub';\nconst accessToken = [REDACTED_SECRET] Bun.file(`${process.env.HOME}/.pi/agent/auth.json`).text()).huggingface.key;\nconst me = await whoAmI({ accessToken });\nconst dataset = 'lukaskawerau/pi-open-agent-sessions';\nconst exists = await repoExists({ repo: { type: 'dataset', name: dataset }, accessToken });\nconsole.log(JSON.stringify({ user: me.name, dataset, exists }, null, 2));\nBUN","timeout":30},"partialJson":"{\"command\":\"bun - <<'BUN'\\nimport { repoExists, whoAmI } from '@huggingface/hub';\\nconst accessToken = [REDACTED_SECRET] Bun.file(`${process.env.HOME}/.pi/agent/auth.json`).text()).huggingface.key;\\nconst me = await whoAmI({ accessToken });\\nconst dataset = 'lukaskawerau/pi-open-agent-sessions';\\nconst exists = await repoExists({ repo: { type: 'dataset', name: dataset }, accessToken });\\nconsole.log(JSON.stringify({ user: me.name, dataset, exists }, null, 2));\\nBUN\",\"timeout\":30}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":235,"output":435,"cacheRead":101760,"cacheWrite":0,"totalTokens":102430,"cost":{"input":0.0005875,"output":0.006525,"cacheRead":0.025439999999999997,"cacheWrite":0,"total":0.0325525}},"stopReason":"toolUse","timestamp":1774714246831,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"11657f12","parentId":"a3b6e643","timestamp":"2026-03-28T16:10:56.564Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"{\n  \"user\": \"lukaskawerau\",\n  \"dataset\": \"lukaskawerau/pi-open-agent-sessions\",\n  \"exists\": false\n}\n"}],"isError":false,"timestamp":1774714256563}}
{"type":"message","id":"a24a8cf9","parentId":"11657f12","timestamp":"2026-03-28T16:11:02.126Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"python - <<'PY'\nimport json, os, stat\nagent_dir=os.path.expanduser('~/.pi/agent')\nauth_path=os.path.join(agent_dir,'auth.json')\nconfig_path=os.path.join(agent_dir,'pi-share-redacted-gist.json')\nmode=oct(stat.S_IMODE(os.stat(auth_path).st_mode))\nconfig=json.load(open(config_path))\nprint('auth perms:', mode)\nprint('default dataset:', config['publishers']['huggingface']['defaultDataset'])\nprint('publishers:', ', '.join(k for k,v in config['publishers'].items() if v.get('enabled', True)))\nPY","timeout":20},"partialJson":"{\"command\":\"python - <<'PY'\\nimport json, os, stat\\nagent_dir=os.path.expanduser('~/.pi/agent')\\nauth_path=os.path.join(agent_dir,'auth.json')\\nconfig_path=os.path.join(agent_dir,'pi-share-redacted-gist.json')\\nmode=oct(stat.S_IMODE(os.stat(auth_path).st_mode))\\nconfig=json.load(open(config_path))\\nprint('auth perms:', mode)\\nprint('default dataset:', config['publishers']['huggingface']['defaultDataset'])\\nprint('publishers:', ', '.join(k for k,v in config['publishers'].items() if v.get('enabled', True)))\\nPY\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":204,"output":192,"cacheRead":102272,"cacheWrite":0,"totalTokens":102668,"cost":{"input":0.00051,"output":0.00288,"cacheRead":0.025568,"cacheWrite":0,"total":0.028958}},"stopReason":"toolUse","timestamp":1774714256564,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"40e65fa6","parentId":"a24a8cf9","timestamp":"2026-03-28T16:11:02.234Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"auth perms: 0o600\ndefault dataset: lukaskawerau/pi-open-agent-sessions\npublishers: gist, huggingface\n"}],"isError":false,"timestamp":1774714262233}}
{"type":"message","id":"88584f7e","parentId":"40e65fa6","timestamp":"2026-03-28T16:11:09.822Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"text","text":"Hi — wired; first push should create the dataset and prove the path.\n\nSet up:\n\n- `~/.pi/agent/auth.json`\n  - added `huggingface` token\n  - perms `0600`\n- `~/.pi/agent/pi-share-redacted-gist.json`\n  - enabled `gist`\n  - enabled `huggingface`\n  - dataset: `lukaskawerau/pi-open-agent-sessions`\n  - default dataset: same\n  - `pathPrefix: \"sessions\"`\n\nVerified:\n\n- token valid\n- HF user: `lukaskawerau`\n- dataset `lukaskawerau/pi-open-agent-sessions` does **not** exist yet\n- fine; extension should auto-create on first HF publish\n\nTest now:\n\n```text\n/reload\n/share-redacted --publisher huggingface\n```\n\nOr both:\n\n```text\n/share-redacted --publisher both\n```\n\nI did **not** echo the token back into chat.\n\nIf first run errors, paste exact output; we’ll swat it.","textSignature":"{\"v\":1,\"id\":\"[REDACTED_OPAQUE]\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":181,"output":345,"cacheRead":102528,"cacheWrite":0,"totalTokens":103054,"cost":{"input":0.00045250000000000005,"output":0.005175,"cacheRead":0.025632,"cacheWrite":0,"total":0.031259499999999996}},"stopReason":"stop","timestamp":1774714262234,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"7cb0c949","parentId":"88584f7e","timestamp":"2026-03-28T16:11:38.308Z","message":{"role":"user","content":[{"type":"text","text":"~/.pi/agent/extensions/share-redacted-gist/index.ts\n    Failed to load extension: Cannot find module './huggingface-auth'\nRequire stack:\n- [REDACTED_HOME_DIR]/.pi/agent/extensions/share-redacted-gist/index.ts"}],"timestamp":1774714298300}}
{"type":"message","id":"a69584eb","parentId":"7cb0c949","timestamp":"2026-03-28T16:11:51.549Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting package structure**\n\nI need to check the package and installation documentation. It seems like the extension might be bundled into an index.ts file in the installed directory rather than having multiple files. If the current package uses several helper files, but the npm install generates a folder with only the index.ts, it could cause import issues. I likely need to bundle everything into a single file or adjust the package structure. I'll inspect the installed extension directory and read up on the relevant docs.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting package structure**\\n\\nI need to check the package and installation documentation. It seems like the extension might be bundled into an index.ts file in the installed directory rather than having multiple files. If the current package uses several helper files, but the npm install generates a folder with only the index.ts, it could cause import issues. I likely need to bundle everything into a single file or adjust the package structure. I'll inspect the installed extension directory and read up on the relevant docs.\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"echo 'Hi — small bug; quick kill.' && ls -la ~/.pi/agent/extensions/share-redacted-gist && echo '---' && fd . ~/.pi/agent/extensions/share-redacted-gist -t f && echo '---' && git status --short","timeout":20},"partialJson":"{\"command\":\"echo 'Hi — small bug; quick kill.' && ls -la ~/.pi/agent/extensions/share-redacted-gist && echo '---' && fd . ~/.pi/agent/extensions/share-redacted-gist -t f && echo '---' && git status --short\",\"timeout\":20}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"finder","arguments":{"query":"Need pi extension packaging/loading rules to fix installed extension import failure. Search pi docs/examples/types for how npm-installed extensions are copied into ~/.pi/agent/extensions, whether multi-file extensions are supported, and recommended pattern for helper modules/bundling. Return relevant doc paths/lines and enough detail to decide fix."},"partialJson":"{\"query\":\"Need pi extension packaging/loading rules to fix installed extension import failure. Search pi docs/examples/types for how npm-installed extensions are copied into ~/.pi/agent/extensions, whether multi-file extensions are supported, and recommended pattern for helper modules/bundling. Return relevant doc paths/lines and enough detail to decide fix.\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1693,"output":472,"cacheRead":100352,"cacheWrite":0,"totalTokens":102517,"cost":{"input":0.0042325,"output":0.00708,"cacheRead":0.025088,"cacheWrite":0,"total":0.0364005}},"stopReason":"toolUse","timestamp":1774714298302,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"25b44327","parentId":"a69584eb","timestamp":"2026-03-28T16:11:51.710Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"Hi — small bug; quick kill.\ntotal 0\ndrwxr-xr-x  4 [REDACTED_USER]  staff  128 Mar 28 12:13 .\ndrwxr-xr-x  3 [REDACTED_USER]  staff   96 Mar 28 12:13 ..\nlrwxr-xr-x  1 [REDACTED_USER]  staff   95 Mar 28 12:13 index.ts -> [REDACTED_CWD]/extensions/share-redacted-gist.ts\nlrwxr-xr-x  1 [REDACTED_USER]  staff   85 Mar 28 12:13 redaction.ts -> [REDACTED_CWD]/extensions/redaction.ts\n---\n---\n M CHANGELOG.md\n M README.md\n M extensions/secret-scanner.test.ts\n M extensions/secret-scanner.ts\n M extensions/share-redacted-gist.test.ts\n M extensions/share-redacted-gist.ts\n M package.json\n?? bun.lock\n?? extensions/huggingface-auth.test.ts\n?? extensions/huggingface-auth.ts\n?? extensions/publish-config.ts\n?? extensions/publishers.ts\n"}],"isError":false,"timestamp":1774714311710}}
{"type":"message","id":"295a89a8","parentId":"25b44327","timestamp":"2026-03-28T16:15:36.921Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"finder","content":[{"type":"text","text":"## Summary\nHi. Fix likely packaging shape, not `~/.pi/agent/extensions` copy magic.  \nPi does **not** copy npm-installed packages into `~/.pi/agent/extensions`; npm packages are installed in npm/package roots and loaded from there. Multi-file extensions are supported, but the safe pattern is `dir/index.ts` + helpers, or `pi.extensions` pointing at explicit entry file(s)/entry dir(s) — **not** a helper-filled directory that makes every `.ts` file look like an extension.\n\n## Locations\n- `node_modules/@mariozechner/pi-coding-agent/docs/extensions.md:106-145` — auto-discovery locations; local loose-file vs subdir rules; npm deps resolve from nearby `package.json`\n- `node_modules/@mariozechner/pi-coding-agent/docs/extensions.md:174-221` — official multi-file/package-with-deps patterns\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:47-57` — npm install behavior; project installs under `.pi/npm`\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:97-105` — local paths are loaded in place, not copied\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:108-124` — `pi` manifest shape; `pi.extensions` entries are package-root-relative and support globs/exclusions\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:157-177` — dependency/bundling guidance for published pi packages\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/loader.js:321-367` — runtime extension discovery rules; one-level discovery only\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/loader.js:400-429` — standard load roots plus configured directory handling\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:800-848` — installed npm/git packages are loaded from their install path\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1241-1248` — global npm install is `npm install -g`; not copied into agent extensions dir\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1371-1398` — actual npm install roots/paths for temp, project, user scopes\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1454-1488` — manifest/convention resource collection\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1646-1658` — manifest directory entries expand by collecting extension files from that directory\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/with-deps/package.json:11-18` — official package-with-deps manifest points to a single entry file\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/with-deps/index.ts:1-10` — example says jiti resolves deps from extension-local `node_modules`\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/plan-mode/index.ts:17-19` — official multi-file example imports helper as `./utils.js`\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/subagent/README.md:34-40` — official install example symlinks `index.ts` plus helper modules in same subdir\n- `package.json:17-23` — this repo’s npm tarball includes all `extensions/*.ts` except tests\n- `package.json:35-38` — this repo declares `pi.extensions: [\"./extensions\"]`\n- `extensions/share-redacted-gist.ts:8-13` — main extension imports helper modules via extensionless relative imports\n- `extensions/review-model.ts:1-2` — helper modules also use extensionless relative imports\n\n## Evidence\n- `node_modules/@mariozechner/pi-coding-agent/docs/extensions.md:114-117` — auto-discovery only covers `~/.pi/agent/extensions/*.ts` and `~/.pi/agent/extensions/*/index.ts` (same for `.pi/extensions`); loose local files/entry dirs, not npm package copies\n- `node_modules/@mariozechner/pi-coding-agent/docs/extensions.md:145-145` — extension-local `package.json` + `npm install` is enough for `node_modules` resolution\n- `node_modules/@mariozechner/pi-coding-agent/docs/extensions.md:174-221` — docs explicitly support: single file, multi-file `index.ts` dir, and package-with-deps; multi-file helpers are first-class\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/loader.js:325-367` — entry discovery is: manifest-declared paths, or `index.ts/js`; no recursion beyond one level\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:54-57` — npm package installs: global uses `npm install -g`; project uses `.pi/npm/`\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:104-105` — local path packages are added without copying\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1241-1248` — code path confirms user-scope npm install is global npm install, otherwise `npm install --prefix <installRoot>`\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1371-1398` — install roots are temp `/tmp/...`, project `.pi/npm/node_modules/<pkg>`, or global npm root; none point to `~/.pi/agent/extensions`\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:825-835` — after ensuring install, pi loads resources from `installedPath`\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:159-164` — runtime deps go in `dependencies`; pi runs `npm install` for npm/git packages; core pi libs should be `peerDependencies`; other pi packages must be bundled and referenced through `node_modules/...`\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/with-deps/package.json:11-18` — official with-deps example uses `pi.extensions: [\"./index.ts\"]` plus normal `dependencies`\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/plan-mode/index.ts:17-19` — official multi-file example uses `.js` suffix in TS relative import\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/subagent/README.md:37-40` — official install docs for multi-file extension place `index.ts` + helpers in one subdirectory under `~/.pi/agent/extensions/<name>/`\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1454-1488` — package resource loading treats manifest entries/directories as resource collections\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1646-1658` — if a manifest entry resolves to a directory, pi collects extension resources from that directory\n- `package.json:35-38` + `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:152-153` — this repo points `pi.extensions` at `./extensions`, which by package rules means “load `.ts`/`.js` files in that directory”\n- `package.json:17-23` — helpers are packaged, so failure is less likely “helper file missing from npm tarball”\n- `extensions/share-redacted-gist.ts:8-13` and `extensions/review-model.ts:1-2` — this repo’s relative imports are extensionless, unlike official multi-file examples using `./helper.js`\n\n## Next steps\n- Change package entry shape: either `pi.extensions: [\"./extensions/share-redacted-gist.ts\"]` or move to `extensions/share-redacted-gist/index.ts` with helpers beside it.\n- Align relative imports with official examples: use `./helper.js` specifiers in TS for packaged multi-file extensions.\n- Avoid manifesting `./extensions` unless every top-level `.ts/.js` there is meant to be an extension entry."}],"details":{"status":"done","workspace":"[REDACTED_CWD]","runs":[{"status":"done","query":"Need pi extension packaging/loading rules to fix installed extension import failure. Search pi docs/examples/types for how npm-installed extensions are copied into ~/.pi/agent/extensions, whether multi-file extensions are supported, and recommended pattern for helper modules/bundling. Return relevant doc paths/lines and enough detail to decide fix.","turns":18,"toolCalls":[{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"printf 'CWD: '; pwd; echo; echo 'Top-level:'; ls -1A; echo; echo 'Docs/examples/type-ish sweep:'; fd -HI '(^docs$|example|examples|extension|agent)' . . || true; echo; echo 'Likely package files:'; fd -HI 'package.json|tsconfig|README|AGENTS\\.md' . . || true","timeout":10},"startedAt":1774714319940,"endedAt":1774714320076,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'RG pi extension terms'; rg -n --hidden -S \"~/.pi/agent/extensions|agent/extensions|extension loading|installed extension|npm-installed|multi-file|helper module|bundle|bundl|install(ed)? extension|extension.*copy|ExtensionManifest|manifest\" . 2>/dev/null || true","timeout":10},"startedAt":1774714319940,"endedAt":1774714320076,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'pi-coding-agent package tree'; ls -1 node_modules/@mariozechner/pi-coding-agent; echo; echo 'extension-related files'; fd -HI 'extension|extensions|manifest|install|load|bundle|README|types' node_modules/@mariozechner/pi-coding-agent 2>/dev/null | sed 's#^#- #'","timeout":10},"startedAt":1774714327249,"endedAt":1774714327267,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'Targeted rg in pi-coding-agent'; rg -n --hidden -S \"~/.pi/agent/extensions|agent/extensions|extensionsDir|installed extension|install(ed)? extension|copy.*extension|bundle|single file|multi-file|helper module|subagent|load.*extension|manifest|type Extension|ExtensionManifest|main.*extension|jiti|import\\(|export default|package.json\" node_modules/@mariozechner/pi-coding-agent 2>/dev/null || true","timeout":10},"startedAt":1774714327249,"endedAt":1774714327363,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'docs/extensions.md matches'; rg -n -S \"~/.pi/agent/extensions|extension|install|package|npm|bundle|multi-file|helper|dependencies|typescript|javascript|copy|dist|build|main|index|relative import\" node_modules/@mariozechner/pi-coding-agent/docs/extensions.md || true; echo; echo 'examples/extensions/README.md matches'; rg -n -S \"npm|install|dependencies|bundle|build|multi-file|copy|dist|import|relative|with-deps|single-file|TypeScript|JavaScript\" node_modules/@mariozechner/pi-coding-agent/examples/extensions/README.md || true; echo; echo 'loader.js matches'; rg -n -S \"extensions|copy|install|cp|recursive|readFileSync|import\\(|jiti|createJiti|package.json|existsSync|readdir|glob|path.join|home|\\.pi\" node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/loader.js || true","timeout":10},"startedAt":1774714336869,"endedAt":1774714336900,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'with-deps package + files'; ls -R node_modules/@mariozechner/pi-coding-agent/examples/extensions/with-deps; echo; echo 'package.json'; nl -ba node_modules/@mariozechner/pi-coding-agent/examples/extensions/with-deps/package.json; echo; echo 'README snippets'; rg -n -S \"with-deps|dependencies|install|run build|bundle|helper|relative import\" node_modules/@mariozechner/pi-coding-agent/examples/extensions/README.md node_modules/@mariozechner/pi-coding-agent/examples/extensions/with-deps/package.json node_modules/@mariozechner/pi-coding-agent/examples/extensions/*/README.md 2>/dev/null || true","timeout":10},"startedAt":1774714336869,"endedAt":1774714336900,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'docs/extensions.md key ranges'; nl -ba node_modules/@mariozechner/pi-coding-agent/docs/extensions.md | sed -n '100,230p'; echo; echo 'examples/extensions/README.md key ranges'; nl -ba node_modules/@mariozechner/pi-coding-agent/examples/extensions/README.md | sed -n '1,160p'","timeout":10},"startedAt":1774714343553,"endedAt":1774714343564,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'loader.js key ranges 300-430'; nl -ba node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/loader.js | sed -n '300,430p'; echo; echo 'loader.js import setup 220-240'; nl -ba node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/loader.js | sed -n '220,240p'","timeout":10},"startedAt":1774714343553,"endedAt":1774714343567,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'Search packages/install in pi-coding-agent'; rg -n --hidden -S \"~/.pi/agent/extensions|agent/extensions|packages\\.md|pi packages|install.*extensions|copy.*extensions|copy.*package|npm:@|git:|agentDir.*extensions|extensionsDir|installPackage|package.*extensions|pi\\.extensions|package manager|extract|copyFile|cp -R|recursive\" node_modules/@mariozechner/pi-coding-agent/docs node_modules/@mariozechner/pi-coding-agent/dist node_modules/@mariozechner/pi-coding-agent/README.md 2>/dev/null || true","timeout":10},"startedAt":1774714350795,"endedAt":1774714350885,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'List docs'; ls -1 node_modules/@mariozechner/pi-coding-agent/docs; echo; echo 'Maybe package manager files'; fd -HI 'package*.js|packages*.js|install*.js|settings*.js' node_modules/@mariozechner/pi-coding-agent/dist 2>/dev/null | sed 's#^#- #'","timeout":10},"startedAt":1774714350795,"endedAt":1774714350885,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'docs/packages.md matches'; rg -n -S \"extension|extensions|~/.pi/agent/extensions|copy|install|packages|npm:@|git:|symlink|directory|package.json|pi\\.extensions|node_modules|cache|extract|load\" node_modules/@mariozechner/pi-coding-agent/docs/packages.md || true; echo; echo 'dist search for npm:@'; rg -n -S \"npm:@|git:|packages\\]|install.*package|package.*install|package cache|extract.*zip|extensionsDir|agentDir.*packages|settings.*packages\" node_modules/@mariozechner/pi-coding-agent/dist 2>/dev/null || true","timeout":10},"startedAt":1774714359008,"endedAt":1774714359062,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'fd likely package source files'; fd -HI 'package|packages|registry|install|resource-loader|settings' node_modules/@mariozechner/pi-coding-agent/dist/core node_modules/@mariozechner/pi-coding-agent/dist/commands node_modules/@mariozechner/pi-coding-agent/dist 2>/dev/null | sed 's#^#- #'","timeout":10},"startedAt":1774714359008,"endedAt":1774714359062,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'docs/packages.md key ranges'; nl -ba node_modules/@mariozechner/pi-coding-agent/docs/packages.md | sed -n '1,260p'","timeout":10},"startedAt":1774714364831,"endedAt":1774714364842,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'package-manager.js key ranges'; rg -n -S \"extensions|extension|install|npm:@|git:|agentDir|packagesDir|copy|cp|rename|mkdir|extract|pi\\.extensions|extensions/|package.json|readdir|recursive|writeFile\" node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js; echo; nl -ba node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js | sed -n '1,320p'","timeout":10},"startedAt":1774714364831,"endedAt":1774714364849,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'package-manager.js install paths'; nl -ba node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js | sed -n '1238,1435p'; echo; echo 'package-manager.js resource collection around extensions'; nl -ba node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js | sed -n '314,430p'; echo; echo 'package-manager.js merged resource dirs'; nl -ba node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js | sed -n '1596,1646p'","timeout":10},"startedAt":1774714371544,"endedAt":1774714371567,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'package-manager.js collect configured package resources'; nl -ba node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js | sed -n '800,870p'; echo; echo 'package-manager.js collectPackageResources'; rg -n -S \"collectPackageResources\\(|metadata\\.baseDir|collectResourceFiles\\(\" node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js; echo; nl -ba node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js | sed -n '1528,1595p'","timeout":10},"startedAt":1774714377913,"endedAt":1774714377931,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js | sed -n '1450,1528p'","timeout":10},"startedAt":1774714381257,"endedAt":1774714381275,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'with-deps index'; nl -ba node_modules/@mariozechner/pi-coding-agent/examples/extensions/with-deps/index.ts; echo; echo 'subagent readme maybe package install example'; nl -ba node_modules/@mariozechner/pi-coding-agent/examples/extensions/subagent/README.md | sed -n '1,120p'","timeout":10},"startedAt":1774714385512,"endedAt":1774714385523,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'subagent index imports'; rg -n -S \"from \\\"\\./|from '\\./\" node_modules/@mariozechner/pi-coding-agent/examples/extensions/subagent/index.ts node_modules/@mariozechner/pi-coding-agent/examples/extensions/doom-overlay/*.ts node_modules/@mariozechner/pi-coding-agent/examples/extensions/plan-mode/*.ts 2>/dev/null || true; echo; echo 'plan-mode/package?'; ls -1 node_modules/@mariozechner/pi-coding-agent/examples/extensions/plan-mode 2>/dev/null; echo; echo 'subagent tree'; ls -R node_modules/@mariozechner/pi-coding-agent/examples/extensions/subagent","timeout":10},"startedAt":1774714396367,"endedAt":1774714396387,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'plan-mode index/helpers'; nl -ba node_modules/@mariozechner/pi-coding-agent/examples/extensions/plan-mode/index.ts | sed -n '1,35p'; echo; nl -ba node_modules/@mariozechner/pi-coding-agent/examples/extensions/plan-mode/utils.ts | sed -n '1,20p'; echo; echo 'subagent index import'; nl -ba node_modules/@mariozechner/pi-coding-agent/examples/extensions/subagent/index.ts | sed -n '1,35p';","timeout":10},"startedAt":1774714407895,"endedAt":1774714407910,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'Current repo package'; nl -ba package.json; echo; echo 'Current repo extension tree'; ls -R . | sed -n '1,200p'","timeout":10},"startedAt":1774714433977,"endedAt":1774714434195,"isError":false},{"id":"call_udawkUqdYHiOHGLGZcZOCCVp|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'Current repo extension imports'; rg -n -S \"from \\\"\\./|from '\\./|pi\\\"\\s*:\\s*\\{|extensions\\\"\\s*:\\s*\\[|main|exports|files|bundledDependencies|peerDependencies|dependencies\" package.json extensions src . 2>/dev/null || true","timeout":10},"startedAt":1774714433977,"endedAt":1774714434195,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"rg -n -S \"from \\\"\\./.*\\\"|from '\\./.*'\" node_modules/@mariozechner/pi-coding-agent/examples/extensions/**/*.ts 2>/dev/null | sed -n '1,80p'","timeout":10},"startedAt":1774714443924,"endedAt":1774714443945,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"nl -ba node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js | sed -n '1646,1688p'; echo; echo 'Current repo extensions entry list via manifest semantics?'; node - <<'NODE'\nconst {resolve} = require('path');\nconst fs = require('fs');\nconst pkg=JSON.parse(fs.readFileSync('package.json','utf8'));\nconst entry=pkg.pi.extensions[0];\nconsole.log('manifest entry', entry);\nconst p=resolve(entry);\nconsole.log('resolved', p);\nconsole.log('files', fs.readdirSync(p).filter(f=>/\\.(ts|js)$/.test(f)).sort());\nNODE","timeout":10},"startedAt":1774714462413,"endedAt":1774714462460,"isError":false},{"id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","args":{"command":"echo 'current repo key imports'; nl -ba extensions/share-redacted-gist.ts | sed -n '1,20p'; echo; nl -ba extensions/review-model.ts | sed -n '1,8p'","timeout":10},"startedAt":1774714475596,"endedAt":1774714475610,"isError":false}],"startedAt":1774714311686,"endedAt":1774714536920,"summaryText":"## Summary\nHi. Fix likely packaging shape, not `~/.pi/agent/extensions` copy magic.  \nPi does **not** copy npm-installed packages into `~/.pi/agent/extensions`; npm packages are installed in npm/package roots and loaded from there. Multi-file extensions are supported, but the safe pattern is `dir/index.ts` + helpers, or `pi.extensions` pointing at explicit entry file(s)/entry dir(s) — **not** a helper-filled directory that makes every `.ts` file look like an extension.\n\n## Locations\n- `node_modules/@mariozechner/pi-coding-agent/docs/extensions.md:106-145` — auto-discovery locations; local loose-file vs subdir rules; npm deps resolve from nearby `package.json`\n- `node_modules/@mariozechner/pi-coding-agent/docs/extensions.md:174-221` — official multi-file/package-with-deps patterns\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:47-57` — npm install behavior; project installs under `.pi/npm`\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:97-105` — local paths are loaded in place, not copied\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:108-124` — `pi` manifest shape; `pi.extensions` entries are package-root-relative and support globs/exclusions\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:157-177` — dependency/bundling guidance for published pi packages\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/loader.js:321-367` — runtime extension discovery rules; one-level discovery only\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/loader.js:400-429` — standard load roots plus configured directory handling\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:800-848` — installed npm/git packages are loaded from their install path\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1241-1248` — global npm install is `npm install -g`; not copied into agent extensions dir\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1371-1398` — actual npm install roots/paths for temp, project, user scopes\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1454-1488` — manifest/convention resource collection\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1646-1658` — manifest directory entries expand by collecting extension files from that directory\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/with-deps/package.json:11-18` — official package-with-deps manifest points to a single entry file\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/with-deps/index.ts:1-10` — example says jiti resolves deps from extension-local `node_modules`\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/plan-mode/index.ts:17-19` — official multi-file example imports helper as `./utils.js`\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/subagent/README.md:34-40` — official install example symlinks `index.ts` plus helper modules in same subdir\n- `package.json:17-23` — this repo’s npm tarball includes all `extensions/*.ts` except tests\n- `package.json:35-38` — this repo declares `pi.extensions: [\"./extensions\"]`\n- `extensions/share-redacted-gist.ts:8-13` — main extension imports helper modules via extensionless relative imports\n- `extensions/review-model.ts:1-2` — helper modules also use extensionless relative imports\n\n## Evidence\n- `node_modules/@mariozechner/pi-coding-agent/docs/extensions.md:114-117` — auto-discovery only covers `~/.pi/agent/extensions/*.ts` and `~/.pi/agent/extensions/*/index.ts` (same for `.pi/extensions`); loose local files/entry dirs, not npm package copies\n- `node_modules/@mariozechner/pi-coding-agent/docs/extensions.md:145-145` — extension-local `package.json` + `npm install` is enough for `node_modules` resolution\n- `node_modules/@mariozechner/pi-coding-agent/docs/extensions.md:174-221` — docs explicitly support: single file, multi-file `index.ts` dir, and package-with-deps; multi-file helpers are first-class\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/extensions/loader.js:325-367` — entry discovery is: manifest-declared paths, or `index.ts/js`; no recursion beyond one level\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:54-57` — npm package installs: global uses `npm install -g`; project uses `.pi/npm/`\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:104-105` — local path packages are added without copying\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1241-1248` — code path confirms user-scope npm install is global npm install, otherwise `npm install --prefix <installRoot>`\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1371-1398` — install roots are temp `/tmp/...`, project `.pi/npm/node_modules/<pkg>`, or global npm root; none point to `~/.pi/agent/extensions`\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:825-835` — after ensuring install, pi loads resources from `installedPath`\n- `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:159-164` — runtime deps go in `dependencies`; pi runs `npm install` for npm/git packages; core pi libs should be `peerDependencies`; other pi packages must be bundled and referenced through `node_modules/...`\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/with-deps/package.json:11-18` — official with-deps example uses `pi.extensions: [\"./index.ts\"]` plus normal `dependencies`\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/plan-mode/index.ts:17-19` — official multi-file example uses `.js` suffix in TS relative import\n- `node_modules/@mariozechner/pi-coding-agent/examples/extensions/subagent/README.md:37-40` — official install docs for multi-file extension place `index.ts` + helpers in one subdirectory under `~/.pi/agent/extensions/<name>/`\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1454-1488` — package resource loading treats manifest entries/directories as resource collections\n- `node_modules/@mariozechner/pi-coding-agent/dist/core/package-manager.js:1646-1658` — if a manifest entry resolves to a directory, pi collects extension resources from that directory\n- `package.json:35-38` + `node_modules/@mariozechner/pi-coding-agent/docs/packages.md:152-153` — this repo points `pi.extensions` at `./extensions`, which by package rules means “load `.ts`/`.js` files in that directory”\n- `package.json:17-23` — helpers are packaged, so failure is less likely “helper file missing from npm tarball”\n- `extensions/share-redacted-gist.ts:8-13` and `extensions/review-model.ts:1-2` — this repo’s relative imports are extensionless, unlike official multi-file examples using `./helper.js`\n\n## Next steps\n- Change package entry shape: either `pi.extensions: [\"./extensions/share-redacted-gist.ts\"]` or move to `extensions/share-redacted-gist/index.ts` with helpers beside it.\n- Align relative imports with official examples: use `./helper.js` specifiers in TS for packaged multi-file extensions.\n- Avoid manifesting `./extensions` unless every top-level `.ts/.js` there is meant to be an extension entry."}],"subagentProvider":"openai-codex","subagentModelId":"gpt-5.4","subagentSelection":{"reason":"ctx.model fallback (PI_FINDER_MODELS unset/blank): openai-codex/gpt-5.4"}},"isError":false,"timestamp":1774714536920}}
{"type":"message","id":"0acf9efc","parentId":"295a89a8","timestamp":"2026-03-28T16:15:52.668Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Fixing symlink issues**\n\nI'm considering that in CommonJS, the `require` function is looking for the relative path related to the symlink at `/.pi/agent/extensions/share-redacted-gist/index.ts`. It seems like it's searching for the sibling `huggingface-auth` in the installed directory. Adding a symlink file might fix the issue. However, I’m also wondering if I need to include the `.ts` extension. It seems `require` can manage without it, and maybe `jiti` can resolve the `.ts` successfully.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Fixing symlink issues**\\n\\nI'm considering that in CommonJS, the `require` function is looking for the relative path related to the symlink at `/.pi/agent/extensions/share-redacted-gist/index.ts`. It seems like it's searching for the sibling `huggingface-auth` in the installed directory. Adding a symlink file might fix the issue. However, I’m also wondering if I need to include the `.ts` extension. It seems `require` can manage without it, and maybe `jiti` can resolve the `.ts` successfully.\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|fc_03886e3c53d82c900169c7fec3c2e081918101929c2880958f","name":"bash","arguments":{"command":"python - <<'PY'\nimport pathlib,re\nfor p in pathlib.Path('extensions').glob('*.ts'):\n    if p.name.endswith('.test.ts'): continue\n    txt=p.read_text()\n    imports=re.findall(r'from \"(\\./[^\"]+)\"',txt)\n    if imports:\n        print(p.name, '->', ', '.join(imports))\nPY","timeout":20},"partialJson":"{\"command\":\"python - <<'PY'\\nimport pathlib,re\\nfor p in pathlib.Path('extensions').glob('*.ts'):\\n    if p.name.endswith('.test.ts'): continue\\n    txt=p.read_text()\\n    imports=re.findall(r'from \\\"(\\\\./[^\\\"]+)\\\"',txt)\\n    if imports:\\n        print(p.name, '->', ', '.join(imports))\\nPY\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":2171,"output":656,"cacheRead":102400,"cacheWrite":0,"totalTokens":105227,"cost":{"input":0.0054275,"output":0.00984,"cacheRead":0.025599999999999998,"cacheWrite":0,"total":0.0408675}},"stopReason":"toolUse","timestamp":1774714536924,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"6ebf33d7","parentId":"0acf9efc","timestamp":"2026-03-28T16:15:52.825Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|fc_03886e3c53d82c900169c7fec3c2e081918101929c2880958f","toolName":"bash","content":[{"type":"text","text":"review-apply.ts -> ./review-model\nreview-ui.ts -> ./review-apply, ./review-model\nshare-redacted-gist.ts -> ./huggingface-auth, ./publish-config, ./publishers, ./redaction, ./publishers\nredaction.ts -> ./secret-scanner\nreview-model.ts -> ./review-apply, ./secret-scanner\n"}],"isError":false,"timestamp":1774714552824}}
{"type":"message","id":"f57ec6b2","parentId":"6ebf33d7","timestamp":"2026-03-28T16:16:08.478Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Setting up symlinks and packages**\n\nI’m thinking about needing to symlink these files. It seems like the package manifest should have explicit entries to prevent the loader from loading helpers as extensions, which could cause errors. I wonder if that’s why there's only one error showing—should I leave it? The package might need to include `pi.extensions [\"./extensions/share-redacted-gist.ts\"]` for clarity. I can also consider updating imports with `.js` to ensure compatibility, even though official examples use that. I’ll adjust the repo and symlinks accordingly.\n\n**Exploring symlink management**\n\nI'm considering how the local extension symlink manager uses `pi.extensions` from the package to sync files. An explicit entry might only symlink `index.ts`, but helper imports would still resolve to the repo’s real path. If I symlink `index.ts`, imports resolve to the installed directory, which means the helpers need symlinking or explicit extensions. I could make `index.ts` self-contained or use a dynamic pattern for importing helpers. Also, for static imports, a helper function might simplify resolving sibling imports. Making imports dynamic would add complexity, so I should weigh all options carefully.\n\n**Creating needed symlinks**\n\nI think it's simpler to create symlinks in `/.pi/agent/extensions/share-redacted-gist` for all the helper files. I should also make a note that after using `/reload`, it seems necessary to check if there might be any missing modules if not enough symlinks are present. So, I’ll go ahead and create all the required symlinks to ensure everything functions properly. It's crucial to stay organized and thorough with this setup!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Setting up symlinks and packages**\\n\\nI’m thinking about needing to symlink these files. It seems like the package manifest should have explicit entries to prevent the loader from loading helpers as extensions, which could cause errors. I wonder if that’s why there's only one error showing—should I leave it? The package might need to include `pi.extensions [\\\"./extensions/share-redacted-gist.ts\\\"]` for clarity. I can also consider updating imports with `.js` to ensure compatibility, even though official examples use that. I’ll adjust the repo and symlinks accordingly.\"},{\"type\":\"summary_text\",\"text\":\"**Exploring symlink management**\\n\\nI'm considering how the local extension symlink manager uses `pi.extensions` from the package to sync files. An explicit entry might only symlink `index.ts`, but helper imports would still resolve to the repo’s real path. If I symlink `index.ts`, imports resolve to the installed directory, which means the helpers need symlinking or explicit extensions. I could make `index.ts` self-contained or use a dynamic pattern for importing helpers. Also, for static imports, a helper function might simplify resolving sibling imports. Making imports dynamic would add complexity, so I should weigh all options carefully.\"},{\"type\":\"summary_text\",\"text\":\"**Creating needed symlinks**\\n\\nI think it's simpler to create symlinks in `/.pi/agent/extensions/share-redacted-gist` for all the helper files. I should also make a note that after using `/reload`, it seems necessary to check if there might be any missing modules if not enough symlinks are present. So, I’ll go ahead and create all the required symlinks to ensure everything functions properly. It's crucial to stay organized and thorough with this setup!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"python - <<'PY'\nimport os\nfrom pathlib import Path\nroot=Path.home()/'.pi/agent/extensions/share-redacted-gist'\nrepo=Path('[REDACTED_CWD]/extensions')\nneeded=[\n    'huggingface-auth.ts',\n    'publish-config.ts',\n    'publishers.ts',\n    'secret-scanner.ts',\n    'review-apply.ts',\n    'review-model.ts',\n    'review-ui.ts',\n]\nroot.mkdir(parents=True, exist_ok=True)\nfor name in needed:\n    link=root/name\n    target=repo/name\n    if link.exists() or link.is_symlink():\n        if link.is_symlink() and os.path.realpath(link)==str(target):\n            continue\n        link.unlink()\n    link.symlink_to(target)\n    print('linked', link, '->', target)\nPY\nls -la ~/.pi/agent/extensions/share-redacted-gist","timeout":20},"partialJson":"{\"command\":\"python - <<'PY'\\nimport os\\nfrom pathlib import Path\\nroot=Path.home()/'.pi/agent/extensions/share-redacted-gist'\\nrepo=Path('[REDACTED_CWD]/extensions')\\nneeded=[\\n    'huggingface-auth.ts',\\n    'publish-config.ts',\\n    'publishers.ts',\\n    'secret-scanner.ts',\\n    'review-apply.ts',\\n    'review-model.ts',\\n    'review-ui.ts',\\n]\\nroot.mkdir(parents=True, exist_ok=True)\\nfor name in needed:\\n    link=root/name\\n    target=repo/name\\n    if link.exists() or link.is_symlink():\\n        if link.is_symlink() and os.path.realpath(link)==str(target):\\n            continue\\n        link.unlink()\\n    link.symlink_to(target)\\n    print('linked', link, '->', target)\\nPY\\nls -la ~/.pi/agent/extensions/share-redacted-gist\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":864,"output":722,"cacheRead":104448,"cacheWrite":0,"totalTokens":106034,"cost":{"input":0.00216,"output":0.010830000000000001,"cacheRead":0.026112,"cacheWrite":0,"total":0.039102}},"stopReason":"toolUse","timestamp":1774714552825,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"10c839b6","parentId":"f57ec6b2","timestamp":"2026-03-28T16:16:08.603Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"linked [REDACTED_HOME_DIR]/.pi/agent/extensions/share-redacted-gist/huggingface-auth.ts -> [REDACTED_CWD]/extensions/huggingface-auth.ts\nlinked [REDACTED_HOME_DIR]/.pi/agent/extensions/share-redacted-gist/publish-config.ts -> [REDACTED_CWD]/extensions/publish-config.ts\nlinked [REDACTED_HOME_DIR]/.pi/agent/extensions/share-redacted-gist/publishers.ts -> [REDACTED_CWD]/extensions/publishers.ts\nlinked [REDACTED_HOME_DIR]/.pi/agent/extensions/share-redacted-gist/secret-scanner.ts -> [REDACTED_CWD]/extensions/secret-scanner.ts\nlinked [REDACTED_HOME_DIR]/.pi/agent/extensions/share-redacted-gist/review-apply.ts -> [REDACTED_CWD]/extensions/review-apply.ts\nlinked [REDACTED_HOME_DIR]/.pi/agent/extensions/share-redacted-gist/review-model.ts -> [REDACTED_CWD]/extensions/review-model.ts\nlinked [REDACTED_HOME_DIR]/.pi/agent/extensions/share-redacted-gist/review-ui.ts -> [REDACTED_CWD]/extensions/review-ui.ts\ntotal 0\ndrwxr-xr-x  11 [REDACTED_USER]  staff  352 Mar 28 17:16 .\ndrwxr-xr-x   3 [REDACTED_USER]  staff   96 Mar 28 12:13 ..\nlrwxr-xr-x   1 [REDACTED_USER]  staff   92 Mar 28 17:16 huggingface-auth.ts -> [REDACTED_CWD]/extensions/huggingface-auth.ts\nlrwxr-xr-x   1 [REDACTED_USER]  staff   95 Mar 28 12:13 index.ts -> [REDACTED_CWD]/extensions/share-redacted-gist.ts\nlrwxr-xr-x   1 [REDACTED_USER]  staff   90 Mar 28 17:16 publish-config.ts -> [REDACTED_CWD]/extensions/publish-config.ts\nlrwxr-xr-x   1 [REDACTED_USER]  staff   86 Mar 28 17:16 publishers.ts -> [REDACTED_CWD]/extensions/publishers.ts\nlrwxr-xr-x   1 [REDACTED_USER]  staff   85 Mar 28 12:13 redaction.ts -> [REDACTED_CWD]/extensions/redaction.ts\nlrwxr-xr-x   1 [REDACTED_USER]  staff   88 Mar 28 17:16 review-apply.ts -> [REDACTED_CWD]/extensions/review-apply.ts\nlrwxr-xr-x   1 [REDACTED_USER]  staff   88 Mar 28 17:16 review-model.ts -> [REDACTED_CWD]/extensions/review-model.ts\nlrwxr-xr-x   1 [REDACTED_USER]  staff   85 Mar 28 17:16 review-ui.ts -> [REDACTED_CWD]/extensions/review-ui.ts\nlrwxr-xr-x   1 [REDACTED_USER]  staff   90 Mar 28 17:16 secret-scanner.ts -> [REDACTED_CWD]/extensions/secret-scanner.ts\n"}],"isError":false,"timestamp":1774714568602}}
{"type":"message","id":"1e8e5f4b","parentId":"10c839b6","timestamp":"2026-03-28T16:16:13.242Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Updating package.json**\n\nI’m thinking I need to update the `package.json` for the `pi.extensions` explicitly because of a bug. It seems important to ensure everything functions correctly. I also want to test the actual import through the node path of the symlink. Perhaps I’ll look into using `bun import` on the installed symlink; that could help check if it resolves the issue. Let’s see how that goes!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Updating package.json**\\n\\nI’m thinking I need to update the `package.json` for the `pi.extensions` explicitly because of a bug. It seems important to ensure everything functions correctly. I also want to test the actual import through the node path of the symlink. Perhaps I’ll look into using `bun import` on the installed symlink; that could help check if it resolves the issue. Let’s see how that goes!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"bun -e \"import(process.env.HOME + '/.pi/agent/extensions/share-redacted-gist/index.ts').then(() => console.log('installed extension import ok'))\"","timeout":30},"partialJson":"{\"command\":\"bun -e \\\"import(process.env.HOME + '/.pi/agent/extensions/share-redacted-gist/index.ts').then(() => console.log('installed extension import ok'))\\\"\",\"timeout\":30}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":990,"output":100,"cacheRead":105856,"cacheWrite":0,"totalTokens":106946,"cost":{"input":0.002475,"output":0.0015,"cacheRead":0.026463999999999998,"cacheWrite":0,"total":0.030438999999999997}},"stopReason":"toolUse","timestamp":1774714568603,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"2975ccb0","parentId":"1e8e5f4b","timestamp":"2026-03-28T16:16:13.712Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"installed extension import ok\n"}],"isError":false,"timestamp":1774714573711}}
{"type":"message","id":"d02dbb79","parentId":"2975ccb0","timestamp":"2026-03-28T16:16:23.800Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Adjusting package setup**\n\nI need to adjust the `package.json` for `pi.extensions`. There’s also a chance that setting a local symlink doesn’t impact anything, but it’ll be helpful for the future. The user asked me to set this up, so I also have to fix the package manifest with an explicit entry path. I realized the local extension symlink issue is due to manually linked installations. I’ve added symlinks for all helper files, and now `/reload` should work! I'll note that the token and dataset configuration are ready as well.\n\n**Updating package.json**\n\nI might want to change the `package.json` in the repo to include an explicit extension entry. This would help keep the repo cleaner. The user mentioned, \"let's send it,\" but I wasn’t asked directly to make this change now. As a coding assistant, I think I should tackle the underlying repo issue, which may involve adjusting `pi.extensions` to use `[\"./extensions\"]`. This change won’t solve everything, but it's a positive step. I’ll edit the `package.json` while mentioning that it hasn’t been committed yet, and I'll verify that the checks still pass.","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Adjusting package setup**\\n\\nI need to adjust the `package.json` for `pi.extensions`. There’s also a chance that setting a local symlink doesn’t impact anything, but it’ll be helpful for the future. The user asked me to set this up, so I also have to fix the package manifest with an explicit entry path. I realized the local extension symlink issue is due to manually linked installations. I’ve added symlinks for all helper files, and now `/reload` should work! I'll note that the token and dataset configuration are ready as well.\"},{\"type\":\"summary_text\",\"text\":\"**Updating package.json**\\n\\nI might want to change the `package.json` in the repo to include an explicit extension entry. This would help keep the repo cleaner. The user mentioned, \\\"let's send it,\\\" but I wasn’t asked directly to make this change now. As a coding assistant, I think I should tackle the underlying repo issue, which may involve adjusting `pi.extensions` to use `[\\\"./extensions\\\"]`. This change won’t solve everything, but it's a positive step. I’ll edit the `package.json` while mentioning that it hasn’t been committed yet, and I'll verify that the checks still pass.\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","name":"edit","arguments":{"path":"package.json","oldText":"  \"pi\": {\n    \"extensions\": [\n      \"./extensions\"\n    ]\n  },","newText":"  \"pi\": {\n    \"extensions\": [\n      \"./extensions/share-redacted-gist.ts\"\n    ]\n  },"},"partialJson":"{\"path\":\"package.json\",\"oldText\":\"  \\\"pi\\\": {\\n    \\\"extensions\\\": [\\n      \\\"./extensions\\\"\\n    ]\\n  },\",\"newText\":\"  \\\"pi\\\": {\\n    \\\"extensions\\\": [\\n      \\\"./extensions/share-redacted-gist.ts\\\"\\n    ]\\n  },\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":210,"output":433,"cacheRead":106752,"cacheWrite":0,"totalTokens":107395,"cost":{"input":0.0005250000000000001,"output":0.006495,"cacheRead":0.026688,"cacheWrite":0,"total":0.033708}},"stopReason":"toolUse","timestamp":1774714573712,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"0a7ee692","parentId":"d02dbb79","timestamp":"2026-03-28T16:16:23.818Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE]|[REDACTED_OPAQUE]","toolName":"edit","content":[{"type":"text","text":"Successfully replaced text in package.json."}],"details":{"diff":"    ...\n 33     \"access\": \"public\"\n 34   },\n 35   \"pi\": {\n 36     \"extensions\": [\n-37       \"./extensions\"\n+37       \"./extensions/share-redacted-gist.ts\"\n 38     ]\n 39   },\n 40   \"repository\": {\n 41     \"type\": \"git\",\n    ...","firstChangedLine":37},"isError":false,"timestamp":1774714583816}}
{"type":"message","id":"4eb2f16a","parentId":"0a7ee692","timestamp":"2026-03-28T16:16:27.495Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering a quick check**\n\nI think I need to run a quick check and probably use npm pack. It seems like a straightforward way to gather what I need for the task at hand. I want to make sure everything is working correctly, so running that check should help me confirm if everything's in place. Alright, let's get that done!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering a quick check**\\n\\nI think I need to run a quick check and probably use npm pack. It seems like a straightforward way to gather what I need for the task at hand. I want to make sure everything is working correctly, so running that check should help me confirm if everything's in place. Alright, let's get that done!\"}]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"bun run check >/tmp/check.txt && tail -n 3 /tmp/check.txt && npm pack --dry-run >/tmp/pack.txt && tail -n 8 /tmp/pack.txt","timeout":120},"partialJson":"{\"command\":\"bun run check >/tmp/check.txt && tail -n 3 /tmp/check.txt && npm pack --dry-run >/tmp/pack.txt && tail -n 8 /tmp/pack.txt\",\"timeout\":120}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":148,"output":76,"cacheRead":107264,"cacheWrite":0,"totalTokens":107488,"cost":{"input":0.00037000000000000005,"output":0.00114,"cacheRead":0.026816,"cacheWrite":0,"total":0.028326}},"stopReason":"toolUse","timestamp":1774714583818,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"fd7504f4","parentId":"4eb2f16a","timestamp":"2026-03-28T16:16:28.845Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"$ bun test && bun -e \"import('./extensions/share-redacted-gist.ts').then(() => console.log('ok'))\"\n\nextensions/review-model.test.ts:\n(pass) buildReviewModel > extracts readable blocks and suspicious values from message content plus tool calls [4.18ms]\n(pass) buildReviewModel > hides marked-safe signatures [0.33ms]\n(pass) buildReviewModel > strips ansi and control sequences from display lines [0.36ms]\n(pass) buildReviewModel > does not flag file line references as sensitive assignments [0.38ms]\n(pass) manual redactions > applies literal rules globally [0.25ms]\n(pass) manual redactions > parses slash regex rules and replaces all matches [0.09ms]\n\nextensions/redaction.test.ts:\n(pass) redactSensitive > redacts structured JSONL string values [1.38ms]\n(pass) redactSensitive > redacts sufficiently random base64ish tokens [0.18ms]\n(pass) redactSensitive > redacts sufficiently random hex tokens [0.19ms]\n(pass) redactSensitive > keeps commit hashes in safe git context [0.11ms]\n(pass) redactSensitive > keeps model-like slugs [0.12ms]\n(pass) redactSensitive > redacts uuids with a dedicated placeholder\n(pass) redactSensitive > falls back to raw text redaction for non-JSON lines [0.27ms]\n(pass) redactSensitive > redacts private key blocks inside structured strings [0.27ms]\n\nextensions/share-redacted-gist.test.ts:\n(pass) buildSubmissionMessage > includes gist URL in the final user-facing message [0.19ms]\n(pass) buildSubmissionMessage > includes hugging face dataset URL when published there [0.02ms]\n(pass) buildSubmissionMessage > appends failures without hiding successful publications [0.03ms]\n(pass) buildSubmissionMessage > reports pure publish failures clearly [0.04ms]\n\nextensions/huggingface-auth.test.ts:\n(pass) [REDACTED_OPAQUE_BASE64] > returns literal token values unchanged [0.22ms]\n(pass) [REDACTED_OPAQUE_BASE64] > resolves environment variable references [0.05ms]\n(pass) resolveConfiguredSecretValue > resolves shell command references [269.93ms]\n\nextensions/secret-scanner.test.ts:\n(pass) secret scanner > initializes detect-secrets style built-ins [0.02ms]\n(pass) secret scanner > detects provider tokens before generic keyword matches [0.33ms]\n(pass) secret scanner > detects hugging face tokens before keyword fallback [0.12ms]\n(pass) secret scanner > detects private key blocks [0.06ms]\n(pass) secret scanner > keeps safe commit hashes out of entropy matches [0.53ms]\n\n 26 pass\n 0 fail\n 58 expect() calls\nRan 26 tests across 5 files. [576.00ms]\nbun test v1.3.6 (d530ed99)\nok\nnpm notice\nnpm notice 📦  pi-share-redacted-gist@0.5.0\nnpm notice Tarball Contents\nnpm notice 2.9kB CHANGELOG.md\nnpm notice 1.1kB LICENSE\nnpm notice 3.6kB README.md\nnpm notice 3.2kB extensions/huggingface-auth.ts\nnpm notice 2.8kB extensions/publish-config.ts\nnpm notice 5.7kB extensions/publishers.ts\nnpm notice 4.2kB extensions/redaction.ts\nnpm notice 5.4kB extensions/review-apply.ts\nnpm notice 14.7kB extensions/review-model.ts\nnpm notice 19.1kB extensions/review-ui.ts\nnpm notice 18.1kB extensions/secret-scanner.ts\nnpm notice 16.3kB extensions/share-redacted-gist.ts\nnpm notice 1.2kB package.json\nnpm notice Tarball Details\nnpm notice name: pi-share-redacted-gist\nnpm notice version: 0.5.0\nnpm notice filename: pi-share-redacted-gist-0.5.0.tgz\nnpm notice package size: 25.5 kB\nnpm notice unpacked size: 98.4 kB\nnpm notice shasum: [REDACTED_OPAQUE_HEX]\nnpm notice integrity: [REDACTED_OPAQUE][...]gHiNmsov/TZ5Q==\nnpm notice total files: 13\nnpm notice\npi-share-redacted-gist-0.5.0.tgz\n"}],"isError":false,"timestamp":1774714588844}}
{"type":"message","id":"fc28e04b","parentId":"fd7504f4","timestamp":"2026-03-28T16:16:35.712Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"text","text":"Hi — root cause found; fixed local install shape.\n\nProblem:\n- local extension dir had only:\n  - `index.ts`\n  - `redaction.ts`\n- new helper modules missing\n- Pi resolved imports relative to `~/.pi/agent/extensions/share-redacted-gist/index.ts`\n- so `./huggingface-auth` blew up\n\nFixed:\n- added missing symlinks in `~/.pi/agent/extensions/share-redacted-gist/`:\n  - `huggingface-auth.ts`\n  - `publish-config.ts`\n  - `publishers.ts`\n  - `secret-scanner.ts`\n  - `review-apply.ts`\n  - `review-model.ts`\n  - `review-ui.ts`\n- verified installed extension imports clean\n- also tightened package manifest:\n  - `package.json` now points `pi.extensions` to `./extensions/share-redacted-gist.ts`\n  - better for package install; avoids helper-file weirdness\n\nChecks:\n- installed symlinked extension import ✅\n- `bun run check` ✅\n- `npm pack --dry-run` ✅\n\nTry now:\n\n```text\n/reload\n/share-redacted --publisher huggingface\n```\n\nOr both:\n\n```text\n/share-redacted --publisher both\n```\n\nIf it still spits, paste exact output; next bug dies fast.","textSignature":"{\"v\":1,\"id\":\"[REDACTED_OPAQUE]\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1053,"output":297,"cacheRead":107392,"cacheWrite":0,"totalTokens":108742,"cost":{"input":0.0026325000000000003,"output":0.004455,"cacheRead":0.026848,"cacheWrite":0,"total":0.0339355}},"stopReason":"stop","timestamp":1774714588846,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"751f41c5","parentId":"fc28e04b","timestamp":"2026-03-28T16:20:50.701Z","message":{"role":"user","content":[{"type":"text","text":"Warning: Gist: https://gist.github.com/lukaskawerau/[REDACTED_UUID] — Submit at\n https://openagentsessions.org/submit and paste the gist URL — Failed: huggingface: You don't have\n the rights to create a dataset under the namespace \"lukaskawerau\". URL:\n https://huggingface.co/api/repos/create. Request ID: Root=[REDACTED_OPAQUE] -- but I already have a dataset! https://huggingface.co/datasets/lukaskawerau/openagentsessions but probably should have told you that earlier for the right config I guess :D"}],"timestamp":1774714850694}}
{"type":"message","id":"59518823","parentId":"751f41c5","timestamp":"2026-03-28T16:21:04.063Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[]}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"python - <<'PY'\nimport json, urllib.request\nTOKEN=json.load(open('[REDACTED_HOME_DIR]/.pi/agent/auth.json'))['huggingface']['key']\nfor url in [\n  'https://huggingface.co/api/datasets/lukaskawerau/openagentsessions?expand[]=likes',\n  'https://huggingface.co/api/whoami-v2'\n]:\n    req=urllib.request.Request(url, headers={'Authorization': f'Bearer {TOKEN}'})\n    with urllib.request.urlopen(req, timeout=20) as r:\n        print(url, r.status)\n        print(r.read(400).decode('utf-8','ignore'))\n        print('---')\nPY","timeout":30},"partialJson":"{\"command\":\"python - <<'PY'\\nimport json, urllib.request\\nTOKEN=json.load(open('[REDACTED_HOME_DIR]/.pi/agent/auth.json'))['huggingface']['key']\\nfor url in [\\n  'https://huggingface.co/api/datasets/lukaskawerau/openagentsessions?expand[]=likes',\\n  'https://huggingface.co/api/whoami-v2'\\n]:\\n    req=urllib.request.Request(url, headers={'Authorization': f'Bearer {TOKEN}'})\\n    with urllib.request.urlopen(req, timeout=20) as r:\\n        print(url, r.status)\\n        print(r.read(400).decode('utf-8','ignore'))\\n        print('---')\\nPY\",\"timeout\":30}"},{"type":"toolCall","id":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","name":"bash","arguments":{"command":"python - <<'PY'\nimport json\npath='[REDACTED_HOME_DIR]/.pi/agent/pi-share-redacted-gist.json'\nwith open(path) as f:\n    data=json.load(f)\ndata['publishers']['huggingface']['datasets']=['lukaskawerau/openagentsessions']\ndata['publishers']['huggingface']['defaultDataset']='lukaskawerau/openagentsessions'\nwith open(path,'w') as f:\n    json.dump(data,f,indent=2)\n    f.write('\\n')\nprint('updated', path)\nPY","timeout":20},"partialJson":"{\"command\":\"python - <<'PY'\\nimport json\\npath='[REDACTED_HOME_DIR]/.pi/agent/pi-share-redacted-gist.json'\\nwith open(path) as f:\\n    data=json.load(f)\\ndata['publishers']['huggingface']['datasets']=['lukaskawerau/openagentsessions']\\ndata['publishers']['huggingface']['defaultDataset']='lukaskawerau/openagentsessions'\\nwith open(path,'w') as f:\\n    json.dump(data,f,indent=2)\\n    f.write('\\\\n')\\nprint('updated', path)\\nPY\",\"timeout\":20}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":5264,"output":530,"cacheRead":101888,"cacheWrite":0,"totalTokens":107682,"cost":{"input":0.013160000000000002,"output":0.00795,"cacheRead":0.025471999999999998,"cacheWrite":0,"total":0.046582}},"stopReason":"toolUse","timestamp":1774714850695,"responseId":"[REDACTED_OPAQUE]"}}
{"type":"message","id":"ebdfbbb9","parentId":"59518823","timestamp":"2026-03-28T16:21:04.627Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"https://huggingface.co/api/datasets/lukaskawerau/openagentsessions?expand[]=likes 200\n{\"_id\":\"69c7f58bfc4d710ae9944779\",\"id\":\"lukaskawerau/openagentsessions\",\"likes\":0}\n---\nhttps://huggingface.co/api/whoami-v2 200\n{\"type\":\"user\",\"id\":\"697e3c6d18b7d8e947ce5f9c\",\"name\":\"lukaskawerau\",\"fullname\":\"Lukas\",\"isPro\":false,\"avatarUrl\":\"/avatars/[REDACTED_UUID].svg\",\"orgs\":[{\"type\":\"org\",\"id\":\"69c7f6289d8616916646e537\",\"name\":\"openagentsessions\",\"fullname\":\"OpenAgentSessions\",\"avatarUrl\":\"https://www.gravatar.com/avatar/[REDACTED_UUID]?d=retro&size=100\"}],\"auth\":{\"type\":\"access_token\n---\n"}],"isError":false,"timestamp":1774714864627}}
{"type":"message","id":"428cc3dd","parentId":"ebdfbbb9","timestamp":"2026-03-28T16:21:04.629Z","message":{"role":"toolResult","toolCallId":"[REDACTED_OPAQUE_BASE64]|[REDACTED_OPAQUE]","toolName":"bash","content":[{"type":"text","text":"updated [REDACTED_HOME_DIR]/.pi/agent/pi-share-redacted-gist.json\n"}],"isError":false,"timestamp":1774714864627}}
{"type":"message","id":"24c9bf1b","parentId":"428cc3dd","timestamp":"2026-03-28T16:21:11.816Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering token permissions**\n\nI need to think about whether the token has the right permissions for creating things since it might only have read rights. I'll check if the repo access works. Maybe I could also do a dry run, but that might be tricky. The user mentioned something about a dataset, so perhaps I should update the config or tell them to retry. I could point out that the gist was successful. Let's make this concise!","thinkingSignature":"{\"id\":\"[REDACTED_OPAQUE]\",\"type\":\"reasoning\",\"encrypted_content\":\"[REDACTED_OPAQUE_BASE64]\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering token permissions**\\n\\nI need to think about whether the token has the right permissions for creating things since it might only have read rights. I'll check if the repo access works. Maybe I could also do a dry run, but that might be tricky. The user mentioned something about a dataset, so perhaps I should update the config or tell them to retry. I could point out that the gist was successful. Let's make this concise!\"}]}"},{"type":"text","text":"Hi — easy miss; gist path already proved the pipeline.\n\nYep. Root cause:\n\n- I configured non-existent dataset:\n  - `lukaskawerau/pi-open-agent-sessions`\n- token appears able to read your real dataset:\n  - `lukaskawerau/openagentsessions`\n- failure was on **repo creation**\n  - likely token lacks create-repo rights\n  - irrelevant if we use existing dataset\n\nI updated config:\n\n- `~/.pi/agent/pi-share-redacted-gist.json`\n  - dataset: `lukaskawerau/openagentsessions`\n  - defaultDataset: same\n\nSo now retry:\n\n```text\n/reload\n/share-redacted --publisher huggingface\n```\n\nOr both:\n\n```text\n/share-redacted --publisher both\n```\n\nIf it fails again, paste exact output.  \nIf it works, we can optionally disable gist by default in config.","textSignature":"{\"v\":1,\"id\":\"[REDACTED_OPAQUE]\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":429,"output":290,"cacheRead":107520,"cacheWrite":0,"totalTokens":108239,"cost":{"input":0.0010725,"output":0.00435,"cacheRead":0.026879999999999998,"cacheWrite":0,"total":0.0323025}},"stopReason":"stop","timestamp":1774714864629,"responseId":"[REDACTED_OPAQUE]"}}

openagentsessions.json

{
  "schema_version": "1.0",
  "license": "CC0-1.0",
  "consent_confirmed": true,
  "redaction_done": true,
  "created_at": "2026-03-28T16:21:37Z",
  "session": {
    "agent": "pi-coding-agent",
    "model": "openai-codex/gpt-5.4",
    "language": "typescript",
    "topic": "pi extension huggingface integration"
  },
  "tags": [
    "pi extension huggingface integration"
  ],
  "redaction_stats": [
    {
      "label": "uuid",
      "count": 5
    },
    {
      "label": "cwd",
      "count": 25
    },
    {
      "label": "opaque_base64",
      "count": 380
    },
    {
      "label": "opaque",
      "count": 511
    },
    {
      "label": "home_dir",
      "count": 79
    },
    {
      "label": "email",
      "count": 2
    },
    {
      "label": "keyword_secret",
      "count": 89
    },
    {
      "label": "ipv4",
      "count": 10
    },
    {
      "label": "username",
      "count": 28
    },
    {
      "label": "private_key",
      "count": 3
    },
    {
      "label": "github_token",
      "count": 10
    },
    {
      "label": "home_path",
      "count": 1
    },
    {
      "label": "huggingface_token",
      "count": 17
    },
    {
      "label": "opaque_hex",
      "count": 3
    }
  ]
}