Convert Copilot Gateway model list to OpenCode and Zed settings file

copilot-gateway-to-opencode.py

#!/usr/bin/env python3

# Usage:
#   curl -H 'Authorization: Bearer <TOKEN>' http://localhost:8000/v1/models | ./copilot-gateway-to-zed.py

import json
import sys


def main() -> None:
    print(
        "{\n"
        '  "$schema": "https://opencode.ai/config.json",\n'
        '  "provider": {\n'
        '    "copilot-gateway": {\n'
        '      "name": "Copilot Gateway",\n'
        '      "npm": "@ai-sdk/openai-compatible",\n'
        '      "options": {\n'
        '        "baseURL": "http://localhost:8000/v1" // https://github.com/Menci/copilot-gateway\n'
        "      },\n"
        '      "models": ',
        end="",
    )
    print(
        json.dumps(
            {
                model["id"]: {
                    "id": model["id"],
                    "name": model["name"],
                    "family": model["capabilities"]["family"],
                    "reasoning": len(
                        model["capabilities"]["supports"].get("reasoning_effort", [])
                    )
                    != 0,
                    "tool_call": model["capabilities"]["supports"]["tool_calls"],
                    "limit": {
                        "context": model["capabilities"]["limits"][
                            "max_context_window_tokens"
                        ],
                        "output": model["capabilities"]["limits"]["max_output_tokens"],
                    },
                    "modalities": {
                        "input": ["text"]
                        + (
                            ["image"]
                            if model["capabilities"]["supports"].get("vision", False)
                            else []
                        ),
                        "output": ["text"],
                    },
                }
                for model in json.load(sys.stdin.buffer)["data"]
                if model["capabilities"]["type"] == "chat"
                and model["model_picker_enabled"]
            },
            ensure_ascii=False,
            indent=2,
        ).replace("\n", "\n      ")
    )
    print("    }\n  }\n}")


if __name__ == "__main__":
    main()

copilot-gateway-to-zed.py

#!/usr/bin/env python3

# Usage:
#   curl -H 'Authorization: Bearer <TOKEN>' http://localhost:8000/v1/models | ./copilot-gateway-to-zed.py

import json
import sys


def main() -> None:
    print(
        "// Zed settings\n"
        "//\n"
        "// For information on how to configure Zed, see the Zed\n"
        "// documentation: https://zed.dev/docs/configuring-zed\n"
        "{\n"
        '  "language_models": {\n'
        '    "openai_compatible": {\n'
        '      "Copilot Gateway": {\n'
        '        "api_url": "http://localhost:8000/v1", // https://github.com/Menci/copilot-gateway\n'
        '        "available_models": ',
        end="",
    )
    print(
        json.dumps(
            [
                {
                    "name": model["id"],
                    "display_name": model["name"],
                    "max_tokens": model["capabilities"]["limits"][
                        "max_context_window_tokens"
                    ],
                    "max_output_tokens": model["capabilities"]["limits"][
                        "max_output_tokens"
                    ],
                    "max_completion_tokens": model["capabilities"]["limits"][
                        "max_output_tokens"
                    ],
                    "capabilities": {
                        "tools": model["capabilities"]["supports"]["tool_calls"],
                        "images": model["capabilities"]["supports"].get(
                            "vision", False
                        ),
                        "parallel_tool_calls": model["capabilities"]["supports"].get(
                            "parallel_tool_calls", False
                        ),
                        "prompt_cache_key": True,
                    },
                }
                for model in json.load(sys.stdin.buffer)["data"]
                if model["capabilities"]["type"] == "chat"
                and model["model_picker_enabled"]
            ],
            ensure_ascii=False,
            indent=2,
        ).replace("\n", "\n        ")
    )
    print("      }\n    }\n  }\n}")


if __name__ == "__main__":
    main()