erickvieira

deepcode — Headroom Proxy Wrapper for DeepSeek + Zen

Audience: AI agent or human setting up opencode with Headroom compression proxy in front of DeepSeek (chat) and OpenCode Zen (agent/models) providers.

Pattern: Minimal config — only options.baseURL + variants. No apiKey, no npm, no manual models. Auth from auth.json.

Created: 2026-06-16 | Updated: 2026-06-17 Source: headroomlabs-ai/headroom#74

erickvieira

Headroom Proxy Wrapper for OpenAI — Agent Setup Guide

Audience: AI agent on a machine where opencode is already installed and an OpenAI provider is already configured via /connect. Goal: Create ~/.local/bin/opencodex — launches opencode with all OpenAI traffic routed through Headroom compression proxy. Pattern: Minimal config — only options.baseURL + variants. No apiKey, no npm, no manual models. Auth from auth.json.

---

erickvieira

on run {input, parameters}
	
	set inputVolume to input volume of (get volume settings)
	if inputVolume < 60 then
		set inputVolume to 60
		set displayNotification to "Microphone is unmuted"
		set speechMessage to "unmuted"
	else
		set inputVolume to 0
		set displayNotification to "Microphone is muted"

erickvieira

/*
 * Available context bindings:
 *   COLUMNS     List<DataColumn>
 *   ROWS        Iterable<DataRow>
 *   OUT         { append() }
 *   FORMATTER   { format(row, col); formatValue(Object, col) }
 *   TRANSPOSED  Boolean
 * plus ALL_COLUMNS, TABLE, DIALECT
 *
 * where:

erickvieira

import com.google.gson.Gson
import com.google.gson.reflect.TypeToken

inline fun <I, reified O> I?.convert(): O? = this?.let { input ->
    try {
        Gson().let { gson ->
            gson.toJson(input).let { output ->
                gson.fromJson(output, object : TypeToken<O>() {}.type)
            }
        }

erickvieira

import React, { useCallback, useMemo, useState } from "react";

import { AutoComplete, Empty } from "antd";
import { debounce, get } from "lodash";
import { MaterialIcon } from "icons";
import { mdiLoading } from "@mdi/js";
import Text from "components/Text";
import useMountEffect from "hooks/Lifecycle/useMountEffect";

export interface SearchInputProps<T extends Dict> {

erickvieira

import { mdiDeleteForever } from "@mdi/js";
import { Form, Input, Space, Divider, Button } from "antd";
import MaterialIcon from "components/MaterialIcon";
import { Rule } from "rc-field-form/lib/interface";

// Estabelecendo uma interface simples para servir de objeto de estudo
interface Example {
  displayName: string;
  topics: string[];
  user: {

erickvieira

import React from 'react';
import styled, { css } from 'styled-components';

export interface TagsWrapperProps extends React.HTMLAttributes<HTMLDivElement> {
  collapsed?: boolean;
  uncollapsedHeight?: number | string;
}

const handleCollapse = (props: TagsWrapperProps) => css`
  max-height: ${props.collapsed

erickvieira

import { BehaviorSubject } from "rxjs"; // remember to install rxjs dependency
import { useCallback, useEffect, useState } from "react";
import { skip } from "rxjs/operators";

const globalSubject = new BehaviorSubject<any>({});

type SetSharedStateAction<S> = (state: S) => void;

export default function <T>(
  subject: BehaviorSubject<T> = globalSubject

erickvieira

#include <math.h>
#include <stdbool.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>

// = IMPLEMENTACAO DE ARRAY DINAMICO ===========================================
typedef struct {
  int *arranjo;
  size_t quantidadeDeElementos;