mirror of
https://github.com/danny-avila/LibreChat.git
synced 2026-10-21 09:32:24 +00:00
Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active.
https://librechat.ai/
aianthropicartifactsawsazurechatgptchatgpt-cloneclaudeclonedeepseekgeminigooglegpt-5librechatmcpo1openairesponses-apivisionwebui
bcbe26ab4c
* 🧭 fix: Rebase Activity Phase Bounds Onto Compacted Content `filterMalformedContentParts` compacts the aggregator's content array — `Array.prototype.filter` skips holes and drops malformed tool calls — but a parent phase marker's `activity_start_index`/`activity_end_index` still address the pre-filter positions. The array is routinely sparse: the aggregator writes parts at provider-source indexes, so a model turn that emits no text before its tool calls leaves an empty slot. Every part after a hole therefore shifts left on persistence while the bounds stay put, so the stored phase claims the wrong range — the final answer is swallowed into the parent card and the marker's own slot is counted as a child. The in-run analogue (`rebaseActivityPhaseBounds`) already rebases after completion-time reshaping; the final compaction had no such step. Rebase the bounds as part of the compaction, mapping each bound to the number of retained parts ahead of it. The mapping is monotonic, so `start <= end <= markerIndex` survives, and an identity mapping leaves untouched arrays — and their marker objects — exactly as they were. Markers are copied rather than mutated so the caller's array keeps its own coordinates, which the live stream and the resume snapshot still address. Fixes the `activity-phases` e2e failure on dev and the same defect on the two resume persistence paths. * 🔌 fix: Stop Replacing the Env Module in the MCPManager Suite `MCPManager.test.ts` mocked `~/utils/env` with a factory that replaced the whole module. #14780 then made `~/mcp/utils` read `ALLOWED_BODY_FIELDS` from that module at module scope, so importing `~/mcp/oauth` -> `handler.ts` -> `~/mcp/utils` evaluated `undefined.map(...)` and the suite died at import time. All 111 of its tests have been silently skipped since; the shard has been red on dev, on this PR, and on release-v0.8.8-rc1. Spread the real module and keep only the mock that earns its place. `processMCPEnv` stays a seam: fifteen cases drive it with `mockReturnValue` / `mockImplementation` to hand the manager a specific processed config, and one asserts its call count, so making it real would couple these tests to env-substitution logic. `isPluginSourced` and `MCP_PLUGIN_SOURCE` were dropped — the factory restated the real implementations verbatim and no test referenced either, so they were duplication, not a seam. 111 tests now run and pass. * 🧪 test: Stop Replacing the Env Module in Three More Suites Same latent trap as the MCPManager suite: a `jest.mock('~/utils/env', ...)` factory that replaces the whole module. These three pass today only because their import graphs never reach `~/mcp/utils`, which reads `ALLOWED_BODY_FIELDS` from that module at module scope — the next module-scope constant added to `env.ts` would break all three the same silent way. Each mock is kept only where it earns its place: - `activityLabels/host.spec.ts` — dropped. `createSafeUser` was never referenced and the stub returned `undefined` where the real function returns `{}`, so the mock was strictly less faithful than the real, pure implementation. - `run-codeTools.test.ts` — dropped. Neither `resolveHeaders` nor `createSafeUser` was referenced by any case. - `run-summarization.test.ts` — `resolveHeaders` is now a spy wrapping the real implementation rather than an identity stub. One case asserts templated header values go through it, which only means something if the real substitution actually runs. `createSafeUser` dropped as unreferenced. 103 suites / 2708 tests green across `src/agents`, `src/utils`, and the MCPManager suite. * 📝 docs: Describe the Full Contract of filterMalformedContentParts Per Copilot's review: the public JSDoc still described the function as only dropping malformed tool calls, while the implementation also compacts empty slots and rebases parent activity-phase bounds. The detail lived on the private helper, so callers reading intellisense saw a stale contract. State what it actually produces, note that compaction is inherent rather than incidental (the aggregator writes at provider-source indexes, so the array is frequently sparse), and add an example of a hole moving a phase bound. The example was verified against the built runtime, not written from memory. |
||
|---|---|---|
| .claude/skills | ||
| .devcontainer | ||
| .do/gitnexus | ||
| .github | ||
| .husky | ||
| .vscode | ||
| api | ||
| client | ||
| config | ||
| e2e | ||
| helm | ||
| otel/langfuse-fanout | ||
| packages | ||
| redis-config | ||
| scripts | ||
| search | ||
| skill | ||
| src/tests | ||
| utils | ||
| .dockerignore | ||
| .env.example | ||
| .gitattributes | ||
| .gitignore | ||
| .nvmrc | ||
| .prettierrc | ||
| AGENTS.md | ||
| bun.lock | ||
| CLAUDE.md | ||
| CONTEXT.md | ||
| deploy-compose.langfuse-fanout.yml | ||
| deploy-compose.yml | ||
| docker-compose.langfuse-fanout.yml | ||
| docker-compose.override.yml.example | ||
| docker-compose.yml | ||
| Dockerfile | ||
| Dockerfile.multi | ||
| eslint.config.mjs | ||
| librechat.example.yaml | ||
| LICENSE | ||
| package-lock.json | ||
| package.json | ||
| rag.yml | ||
| README.md | ||
| README.zh.md | ||
| tool-intent-spec.md | ||
| turbo.json | ||
LibreChat
English · 中文
✨ Features
-
🖥️ UI & Experience inspired by ChatGPT with enhanced design and features
-
🤖 AI Model Selection:
- Anthropic (Claude), AWS Bedrock, OpenAI, Azure OpenAI, Google, Vertex AI, OpenAI Responses API (incl. Azure)
- Custom Endpoints: Use any OpenAI-compatible API with LibreChat, no proxy required
- Compatible with Local & Remote AI Providers:
- Ollama, groq, Cohere, Mistral AI, Apple MLX, koboldcpp, together.ai,
- OpenRouter, Helicone, Perplexity, ShuttleAI, Deepseek, Qwen, and more
-
- Secure, Sandboxed Execution in Python, Node.js (JS/TS), Go, C/C++, Java, PHP, Rust, and Fortran
- Seamless File Handling: Upload, process, and download files directly
- No Privacy Concerns: Fully isolated and secure execution
- Open-Source & Self-Hostable: powered by ClickHouse/code-interpreter
-
🔦 Agents & Tools Integration:
- LibreChat Agents:
- No-Code Custom Assistants: Build specialized, AI-driven helpers
- Agent Marketplace: Discover and deploy community-built agents
- Collaborative Sharing: Share agents with specific users and groups
- Flexible & Extensible: Use MCP Servers, tools, file search, code execution, and more
- Skills: Create reusable
SKILL.mdinstruction bundles for manual, automatic, or always-on agent workflows - Subagents: Delegate focused work to isolated child agent runs with their own context windows
- Compatible with Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, Google, Vertex AI, Responses API, and more
- Model Context Protocol (MCP) Support for Tools
- LibreChat Agents:
-
🔍 Web Search:
- Search the internet and retrieve relevant information to enhance your AI context
- Combines search providers, content scrapers, and result rerankers for optimal results
- Customizable Jina Reranking: Configure custom Jina API URLs for reranking services
- Learn More →
-
🪄 Generative UI with Code Artifacts:
- Code Artifacts allow creation of React, HTML, and Mermaid diagrams directly in chat
-
🎨 Image Generation & Editing
- Text-to-image and image-to-image with GPT-Image-1
- Text-to-image with DALL-E (3/2), Stable Diffusion, Flux, or any MCP server
- Produce stunning visuals from prompts or refine existing images with a single instruction
-
💾 Presets & Context Management:
- Create, Save, & Share Custom Presets
- Switch between AI Endpoints and Presets mid-chat
- Edit, Resubmit, and Continue Messages with Conversation branching
- Create and share prompts with specific users and groups
- Fork Messages & Conversations for Advanced Context control
-
💬 Multimodal & File Interactions:
- Upload and analyze images with Claude 3, GPT-4.5, GPT-4o, o1, Llama-Vision, and Gemini 📸
- Chat with Files using Custom Endpoints, OpenAI, Azure, Anthropic, AWS Bedrock, & Google 🗃️
-
🌎 Multilingual UI:
- English, 中文 (简体), 中文 (繁體), العربية, Deutsch, Español, Français, Italiano
- Polski, Português (PT), Português (BR), Русский, 日本語, Svenska, 한국어, Tiếng Việt
- Türkçe, Nederlands, עברית, Català, Čeština, Dansk, Eesti, فارسی
- Suomi, Magyar, Հայերեն, Bahasa Indonesia, ქართული, Latviešu, ไทย, ئۇيغۇرچە
-
🧠 Reasoning UI:
- Dynamic Reasoning UI for Chain-of-Thought/Reasoning AI models like DeepSeek-R1
-
🎨 Customizable Interface:
- Customizable Dropdown & Interface that adapts to both power users and newcomers
-
- Never lose a response: AI responses automatically reconnect and resume if your connection drops
- Multi-Tab & Multi-Device Sync: Open the same chat in multiple tabs or pick up on another device
- Production-Ready: Works from single-server setups to horizontally scaled deployments with Redis
-
🗣️ Speech & Audio:
- Chat hands-free with Speech-to-Text and Text-to-Speech
- Automatically send and play Audio
- Supports OpenAI, Azure OpenAI, and Elevenlabs
-
📥 Import & Export Conversations:
- Import Conversations from LibreChat, ChatGPT, Chatbot UI
- Export conversations as screenshots, markdown, text, json
-
🔍 Search & Discovery:
- Search all messages/conversations
-
👥 Multi-User & Secure Access:
- Multi-User, Secure Authentication with OAuth2, LDAP, & Email Login Support
- Built-in Moderation, and Token spend tools
-
🎛️ Admin Panel:
- Browser-based UI to manage users, groups, roles, and configuration overrides
- Edit settings and per-role/group permissions live, without redeploying
- Bundled with the Docker Compose stacks for one-command setup
-
⚙️ Configuration & Deployment:
- Configure Proxy, Reverse Proxy, Docker, & many Deployment options
- Use S3 with CloudFront for stable media links, edge delivery, signed cookies, and secured downloads
- Use completely local or deploy on the cloud
-
📖 Open-Source & Community:
- Completely Open-Source & Built in Public
- Community-driven development, support, and feedback
For a thorough review of our features, see our docs here 📚
🪶 All-In-One AI Conversations with LibreChat
LibreChat is a self-hosted AI chat platform that unifies all major AI providers in a single, privacy-focused interface.
Beyond chat, LibreChat provides AI Agents, Model Context Protocol (MCP) support, Artifacts, Code Interpreter, custom actions, conversation search, and enterprise-ready multi-user authentication.
Open source, actively developed, and built for anyone who values control over their AI infrastructure.
🌐 Resources
GitHub Repo:
- RAG API: github.com/danny-avila/rag_api
- Website: github.com/LibreChat-AI/librechat.ai
Other:
- Website: librechat.ai
- Documentation: librechat.ai/docs
- Blog: librechat.ai/blog
📝 Changelog
Keep up with the latest updates by visiting the releases page and notes:
⚠️ Please consult the changelog for breaking changes before updating.
⭐ Star History
✨ Contributions
Contributions, suggestions, bug reports and fixes are welcome!
For new features, components, or extensions, please open an issue and discuss before sending a PR.
If you'd like to help translate LibreChat into your language, we'd love your contribution! Improving our translations not only makes LibreChat more accessible to users around the world but also enhances the overall user experience. Please check out our Translation Guide.
💖 This project exists in its current state thanks to all the people who contribute
🎉 Special Thanks
We thank Locize for their translation management tools that support multiple languages in LibreChat.