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VS Code 聊天工具
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VS Code 聊天工具

基于 TypeScript · 开源免费,本地部署,数据完全自主可控
英文名:vscode-unify-chat-provider
⭐ 555 Stars 🍴 55 Forks 💻 TypeScript 📄 MIT 🏷 AI 8.0分
8.0AI 综合评分
aichatcopilottypescript
✦ AI Skill Hub 推荐

经 AI Skill Hub 精选评估,VS Code 聊天工具 获评「强烈推荐」。这款AI工具在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。

📚 深度解析

VS Code 聊天工具 是一款基于 TypeScript 的开源工具,在 GitHub 上收获 1k+ Star,是ai、chat、copilot、typescript领域中的优质开源项目。开源工具的最大优势在于代码完全透明,你可以审计每一行代码的安全性,也可以根据自身需求进行二次开发和定制。

**为什么要使用开源工具而非商业 SaaS?**
对于个人开发者和有隐私需求的用户,本地部署的开源工具意味着数据不离本机,不受第三方服务商的数据政策约束。同时,开源工具通常没有使用次数限制和月度费用,一次安装即可长期使用,对于高频使用场景的总拥有成本(TCO)远低于订阅制商业工具。

**安装与环境准备**
VS Code 聊天工具 依赖 TypeScript 运行环境。建议通过 pyenv(Python)或 nvm(Node.js)管理 TypeScript 版本,避免全局环境污染。对于新手用户,推荐先创建虚拟环境(python -m venv venv && source venv/bin/activate),再安装依赖,这样即使出现问题也可以随时删除虚拟环境重新开始,不影响系统稳定性。

**社区与维护**
GitHub Issue 和 Discussion 是获取帮助的最快渠道。在提问前建议先检查 Closed Issues(已关闭的问题),大多数常见问题都已有解答。遇到 Bug 时,提供 pip list 的输出、完整错误堆栈和最小可复现示例,能显著提高开发者响应速度。AI Skill Hub 将持续追踪 VS Code 聊天工具 的版本更新,及时通知重要功能变化。

📋 工具概览

集成多个LLM API提供商,增强VS Code的GitHub Copilot Chat功能

VS Code 聊天工具 是一款基于 TypeScript 开发的开源工具,专注于 ai、chat、copilot 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

GitHub Stars
⭐ 555
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
正常维护,社区驱动
开源协议
MIT
AI 综合评分
8.0 分
工具类型
AI工具
Forks
55

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

集成多个LLM API提供商,增强VS Code的GitHub Copilot Chat功能

VS Code 聊天工具 是一款基于 TypeScript 开发的开源工具,专注于 ai、chat、copilot 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。

📌 核心特色
  • 开源免费,支持本地部署,数据完全自主可控
  • 活跃的 GitHub 开源社区,持续迭代更新
  • 提供详细文档和使用示例,新手友好
  • 支持自定义配置,灵活适配不同使用环境
  • 可作为基础组件集成进现有技术栈或进行二次开发
🎯 主要使用场景
  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:npm 全局安装
npm install -g vscode-unify-chat-provider

# 方式二:npx 直接运行(无需安装)
npx vscode-unify-chat-provider --help

# 方式三:项目依赖安装
npm install vscode-unify-chat-provider

# 方式四:从源码运行
git clone https://github.com/smallmain/vscode-unify-chat-provider
cd vscode-unify-chat-provider
npm install
npm start
📋 安装步骤说明
  1. 访问 GitHub 仓库页面
  2. 按照 README 文档完成依赖安装
  3. 根据系统环境完成初始化配置
  4. 参考官方示例或文档开始使用
  5. 遇到问题可在 GitHub Issues 中查找解答
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 命令行使用
vscode-unify-chat-provider --help

# 基本用法
vscode-unify-chat-provider [options] <input>

# Node.js 代码中使用
const vscode_unify_chat_provider = require('vscode-unify-chat-provider');

const result = await vscode_unify_chat_provider.run(options);
console.log(result);
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# vscode-unify-chat-provider 配置说明
# 查看配置选项
vscode-unify-chat-provider --config-example > config.yml

# 常见配置项
# output_dir: ./output
# log_level: info
# workers: 4

# 环境变量(覆盖配置文件)
export VSCODE_UNIFY_CHAT_PROVIDER_CONFIG="/path/to/config.yml"
📑 README 深度解析 真实文档 完整度 81/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

<p align="center"> <img src="icon.png" width="128" /> </p>

Unify Chat Provider

<p align="center"> Integrate multiple LLM API providers into VS Code's GitHub Copilot Chat using the Language Model API. </p>

<br> <p align="center"> <span>English</span> | <a href="https://github.com/smallmain/vscode-unify-chat-provider/blob/main/README_zh-CN.md">简体中文</a> </p>

Features

  • 🐑 Free Tier Access: Aggregates the latest free mainstream model channel configurations!
  • 📦 Out of the Box: One-click configuration, automatic syncing of official model lists, and migration from other tools.
  • 🔌 Perfect Compatibility: Supports all major LLM API formats (OpenAI Chat Completions, OpenAI Responses, Anthropic Messages, Ollama Chat, Gemini).
  • 🎯 Deep Adaptation: Adapts to special API features and best practices of 45+ mainstream providers.
  • 🚀 Best Performance: Built-in recommended parameters for 200+ mainstream models, allowing you to maximize model potential without tuning.
  • 💾 Import and Export: Complete import/export support; import configs via Base64, JSON, URL, or URI.
  • 💎 Great UX: Visual interface configuration, fully customizable model parameters, supports unlimited provider and model configurations, and supports coexistence of multiple configuration variants for the same provider and model.
  • One More Thing: One-click use of your Claude Code, Gemini CLI, Antigravity, Github Copilot, OpenAI Codex (ChatGPT Plus/Pro), xAI Grok (SuperGrok / X Premium+) account quotas.

Installation

  • Search for Unify Chat Provider in the VS Code Extension Marketplace and install it.
  • Download the latest .vsix file from GitHub Releases, then install it in VS Code via Install from VSIX... or by dragging it into the Extensions view.

Quick Start

If the provider you want to add is in the Provider Support Table, use One-Click Configuration.

Otherwise, you can also manually configure any provider and model.

You might also be looking for:

⚠️ Avoid VS Code background tasks consuming Copilot quota VS Code currently uses utility models for some background tasks by default. If you use a free Copilot account, this may consume your Copilot quota. You need to set these to other models in settings.json yourself to avoid consuming Copilot quota, or use the quick settings interface provided by this extension. See Quick Set VS Code Default Model for details.

One-Click Configuration

See the Provider Support Table for providers supported by one-click configuration.

If your provider is not in the list, you can add it via Manual Configuration.

Steps:

  1. Open the VS Code Command Palette and search for Unify Chat Provider: Add Provider From Well-Known Provider List.

2. Select the provider you want to add. 3. Follow the prompts to configure authentication (usually an API key, or it may require logging in via the browser), then you’ll be taken to the config import screen. - This screen lets you review and edit the config that will be imported. - For details, see the Provider Settings section.

  1. Click Save to complete the import and start using the models in Copilot Chat.

Manual Configuration

This section uses DeepSeek as an example, adding the provider and two models.

DeepSeek supports One-Click Configuration. This section shows the manual setup for demonstration purposes.

0. Preparation: get the API information from the provider docs, at least the following: - API Format: The API format (e.g., OpenAI Chat Completions, Anthropic Messages). - API Base URL: The base URL of the API. - Authentication: Usually an API key; obtained from the user center or console after registration.

  1. Open the VS Code Command Palette and search for Unify Chat Provider: Add Provider.
- This screen is similar to the [Provider Settings](#provider-settings) screen, and includes in-place documentation for each field.

2. Fill in the provider name: Name. - The name must be unique and is shown in the model list. Here we use DeepSeek. - You can create multiple configs for the same provider with different names, e.g., DeepSeek-Person, DeepSeek-Team.

3. Choose the API format: API Format. - DeepSeek uses the OpenAI Chat Completion format, so select that. - To see all supported formats, refer to the API Format Support Table.

4. Set the base URL: API Base URL. - DeepSeek’s base URL is https://api.deepseek.com.

5. Configure authentication: Authentication. - DeepSeek uses API Key for authentication, so select API Key. - Enter the API key generated from the DeepSeek console.

  1. Click Models to go to the model management screen.

7. Enable Auto-Fetch Official Models. - This example uses auto-fetch to reduce configuration steps; see Auto-Fetch Official Models for details. - For model fields and other ways to add models, see Manage Models.

  1. Click Save to finish. You can now use the models in Copilot Chat.

Provider Settings

  • Models: This button only appears while adding or importing a config; click it to enter the Model List screen.

This screen shows all configuration fields for the provider. For field details, see Provider Parameters.

Model Settings

  • Export: Export this model config. See Import and Export.
  • Duplicate: Clone this model config to create a new one.
  • Delete: Delete this model config.

This screen shows all configuration fields for the model. For field details, see Model Parameters.

Sync Built-in Parameters to All Configs

Run Unify Chat Provider: Sync Built-in Parameters to All Configs to sync local model parameters with the built-in model parameters.

This is typically used after a new version updates or optimizes built-in model parameters, allowing you to sync existing configs in one click.

Global Settings

  • Most unifyChatProvider.* settings are application-scoped and shared across profiles on the same device.
  • Commit message generation settings are window-scoped and can be configured per workspace.

<details>

NameIDDescription
Global Network SettingsnetworkSettingsGlobal network settings. Timeout and retry affect chat requests; proxy affects provider HTTP requests.
Model Display Name TemplatemodelDisplayNameTemplateTemplate for chat model names. Default: {modelName}{{ ({providerName})}}.
Balance Refresh IntervalbalanceRefreshIntervalMsPeriodic refresh interval for provider balances (milliseconds).
Balance Throttle WindowbalanceThrottleWindowMsThrottle window for post-request balance refresh (milliseconds).
Display Balance in ConfigurationdisplayBalanceInConfigurationShows refreshed balance information in the model configuration button area. Default: disabled.
Store API Key in SettingsstoreApiKeyInSettingsPlease see [Cloud Sync Compatibility](#cloud-sync-compatibility) for details.
Enable Detailed LoggingverboseEnables more detailed logging for troubleshooting errors.
Commit Message ButtonscommitMessageGeneration.enableButtonsControls whether commit message generation buttons are shown in the Source Control view.
Commit Message ModelcommitMessageGeneration.modelModel selection used for commit message generation.
Commit Message FormatcommitMessageGeneration.formatCommit message format used for commit message generation.
Commit Message Custom InstructionscommitMessageGeneration.customInstructionsAdditional instructions appended to the commit message generation system prompt.
Commit Message Exclude FilescommitMessageGeneration.excludeFilesVS Code glob patterns for files whose diffs should be omitted from commit message generation prompts.

</details>

Proxy Configuration

Proxy settings can be configured globally through unifyChatProvider.networkSettings.proxy or per provider through unifyChatProvider.endpoints[].proxy. The effective order is:

  1. Provider proxy
  2. Global networkSettings.proxy
  3. VS Code HTTP proxy settings

proxy.type supports:

  • vscode (default): Use VS Code http.proxy, http.proxyAuthorization, http.proxyStrictSSL, and http.noProxy.
  • direct: Connect directly and bypass VS Code/global proxy settings.
  • custom: Use proxy.url; optional fields are authorization, strictSSL, and noProxy.

Supported custom proxy URL protocols are http, https, socks, socks4, socks4a, socks5, and socks5h. Proxy settings apply to provider HTTP requests, including chat requests, balance refreshes, and official model fetching.

Example global proxy:

{
  "unifyChatProvider.networkSettings": {
    "proxy": {
      "type": "custom",
      "url": "http://127.0.0.1:7890",
      "noProxy": ["localhost", "127.0.0.1", ".example.com"]
    }
  }
}

Example provider override:

{
  "unifyChatProvider.endpoints": [
    {
      "type": "openai",
      "name": "OpenAI Direct",
      "baseUrl": "https://api.openai.com",
      "proxy": {
        "type": "direct"
      },
      "models": ["gpt-5"]
    }
  ]
}

Override Config Fields

You can add query parameters to override certain fields in the imported config.

Example:

vscode://SmallMain.vscode-unify-chat-provider/import-config?config=<input>&auth={"method":"api-key","apiKey":"my-api-key"}

The import will override the auth field before importing.

API Format Support Table

<details>

APIIDTypical EndpointNotes
[OpenAI Chat Completion API](https://platform.openai.com/docs/api-reference/chat)openai-chat-completion/v1/chat/completionsIf the base URL doesn’t end with a version suffix, /v1 is appended automatically.
[OpenAI Responses API](https://platform.openai.com/docs/api-reference/responses)openai-responses/v1/responsesIf the base URL doesn’t end with a version suffix, /v1 is appended automatically.
[Google AI Studio (Gemini API)](https://ai.google.dev/aistudio)google-ai-studio/v1beta/models:generateContentAutomatically detect the version number suffix.
[Google Vertex AI](https://cloud.google.com/vertex-ai)google-vertex-ai/v1beta/models:generateContentProvide different base URL based on authentication.
[Anthropic Messages API](https://platform.claude.com/docs/en/api/typescript/messages/create)anthropic/v1/messagesAutomatically removes duplicated /v1 suffix.
[Ollama Chat API](https://docs.ollama.com/api/chat)ollama/api/chatAutomatically removes duplicated /api suffix.

</details>

Model List

Quick Set VS Code Default Model

You can open the quick settings interface with the VS Code command Unify Chat Provider: Change VS Code Default Model.

The following settings can be changed quickly:

  • chat.utilityModel
  • chat.utilitySmallModel
  • chat.exploreAgent.defaultModel
  • github.copilot.chat.exploreAgent.model
  • inlineChat.defaultModel
  • chat.planAgent.defaultModel
  • github.copilot.chat.askAgent.model
  • github.copilot.chat.implementAgent.model

Items marked with mean:

  • By default, VS Code uses Copilot built-in models for these settings. These models do not consume premium quota on paid plans, but may consume free quota on free plans.
  • It is recommended to set them to fast, inexpensive models.

You can select the Change All Built-in Utility Models button to update all items at once.

🇨🇳 中文文档镜像 AI 翻译 2026-06-10
英文原文章节由系统翻译为中文摘要,便于快速理解。完整原文见上方 "📑 README 深度解析"。
📌 简介

本项目是 VS Code 的 GitHub Copilot Chat 集成器,旨在将多个 LLM API 提供商集成到 VS Code 中。

⚡ 功能介绍

本项目提供以下功能:免费级别访问、完美兼容性、深度适应性以及最佳性能。

🛠 安装步骤(Docker/pip/源码)

安装步骤:在 VS Code 扩展市场中搜索 "Unify Chat Provider" 并安装,或者从 GitHub Releases 下载最新的 `.vsix` 文件并安装。

🚀 使用教程

快速开始:查看 "Cookbook",可以在几分钟内开始使用本项目。支持的模型包括 Gemini 3/3.1 系列、GitHub Copilot 等。

⚙️ 配置说明(含 MCP / env)

配置说明:支持一键配置的提供商列表见 "Provider Support Table"。如果提供商不在列表中,可以通过 "Manual Configuration" 手动配置。

🔌 API 说明

API 格式支持表:列出了支持的 API 格式,包括 OpenAI Chat Completions、OpenAI Responses 等。

🔄 工作流/模块

模型列表:支持添加模型的手段包括 "Add Model Manually"、"One-Click Add Models" 和 "Add From Official Model List"。

🎯 aiskill88 AI 点评 A 级 2026-06-10

高质量的AI工具集成,提高开发效率

📚 实用指南(长尾问题)
适合谁
  • 需要 vscode-unify-chat-provider 解决具体问题的开发者与运营人员
最佳实践
  • 本地部署优先选 GGUF 量化模型,节省显存并保持响应速度
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • 显存不足直接 OOM — 优先降低 context 或换更小的量化模型
部署方案
  • CLI:直接 npm install -g / pip install,命令行调用
  • 本地部署:CPU 8GB 起,GPU 推荐 16GB+ 显存
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
vscode-unify-chat-provider 中文教程vscode-unify-chat-provider 安装报错怎么办vscode-unify-chat-provider 与同类工具对比vscode-unify-chat-provider 最佳实践vscode-unify-chat-provider 适合谁用

⚡ 核心功能

👥 适合谁
  • 需要 vscode-unify-chat-provider 解决具体问题的开发者与运营人员
⭐ 最佳实践
  • 本地部署优先选 GGUF 量化模型,节省显存并保持响应速度
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • 显存不足直接 OOM — 优先降低 context 或换更小的量化模型

👥 适合人群

AI 技术爱好者研究人员和学生开发者和工程师技术创业者

🎯 使用场景

  • 本地部署运行,保护数据隐私,满足合规要求
  • 自定义集成到现有系统,扩展技术栈能力
  • 作为开源基础组件进行商业化二次开发

⚖️ 优点与不足

✅ 优点
  • +MIT 协议,可免费商用
  • +完全开源免费,无授权费用
  • +本地部署,数据完全自主可控
  • +开发者社区支持,遇问题可查可问
⚠️ 不足
  • 安装和初始配置可能需要一定技术基础
  • 功能完整性通常不如成熟商业产品
  • 技术支持主要依赖开源社区,响应速度不稳定
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。

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🗺️ 相关解决方案
🧩 你可能还需要
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❓ 常见问题 FAQ

vscode-unify-chat-provider 是一款TypeScript开发的AI辅助工具。开源AI工具:Integrate multiple LLM API providers into VS Code's GitHub Copilot Chat using th。⭐555 · TypeScript 主要应用场景包括:开发者辅助编码和调试。
💡 AI Skill Hub 点评

AI Skill Hub 点评:VS Code 聊天工具 的核心功能完整,质量优秀。对于AI 技术爱好者来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。

📚 深入学习 VS Code 聊天工具
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 vscode-unify-chat-provider
原始描述 开源AI工具:Integrate multiple LLM API providers into VS Code's GitHub Copilot Chat using th。⭐555 · TypeScript
Topics aichatcopilottypescript
GitHub https://github.com/smallmain/vscode-unify-chat-provider
License MIT
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/smallmain/vscode-unify-chat-provider

收录时间:2026-06-10 · 更新时间:2026-06-11 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。

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