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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
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* feat: surface message feedback (thumbs up/down) as Langfuse scores When Langfuse tracing is enabled, the message feedback endpoint now posts a boolean `user-feedback` score (1/0 + tag/comment) to Langfuse for the assistant message's trace; clearing feedback deletes the score. Fire-and- forget, so the feedback UX never blocks on Langfuse. Linking is lookup-free: the run opts into deterministic Langfuse trace ids (`langfuse.deterministicTraceId`, passed to the agents Run), so the trace id is sha256(messageId)[:32]. The feedback route recomputes the same id and scores by it. - api/server/services/Langfuse.js: POST/DELETE /api/public/scores (env-gated) - api/server/utils/langfuseTrace.js: traceIdForMessage(messageId) - api/server/routes/messages.js: fire feedback score after the Mongo write - packages/api: pass langfuse.deterministicTraceId to the run - bump @librechat/agents to ^3.2.21 (adds LangfuseConfig.deterministicTraceId) Closes #13537 Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix: match Langfuse trace environment for feedback scores @librechat/agents passes no environment to its Langfuse tracer, so @langfuse/otel falls back to LANGFUSE_TRACING_ENVIRONMENT and otherwise to Langfuse's "default". The score helper instead fell back to NODE_ENV, so a deployment with only NODE_ENV=production filed scores under "production" while the trace stayed on "default" — the score never landed on the trace. Use LANGFUSE_TRACING_ENVIRONMENT only, and omit `environment` when unset so Langfuse defaults both score and trace to "default". Addresses Codex review on #13544. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix: don't require LANGFUSE_BASE_URL to post feedback scores The agent tracer emits traces with just the public/secret keys (defaulting to Langfuse Cloud, or via the legacy LANGFUSE_BASEURL alias), but the score helper disabled itself unless LANGFUSE_BASE_URL was set — so an otherwise-traced deployment silently posted no scores. Resolve the base URL the same way the tracer does (LANGFUSE_BASE_URL -> LANGFUSE_BASEURL -> Cloud) and gate enablement on the credentials only. Addresses Codex review on #13544. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix: only post feedback scores for agent-endpoint messages The feedback route is shared by all message types, but deterministic Langfuse trace IDs are only enabled for agent runs. Rating a message from a non-agent endpoint (with Langfuse configured) posted a user-feedback score for sha256(messageId) that no trace will ever match, leaving orphan scores. Gate scoring on isAgentsEndpoint(message.endpoint); `updateMessage` now returns `endpoint` so the route can check it. Addresses Codex review on #13544. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix: gate feedback scoring by !isAssistantsEndpoint, not isAgentsEndpoint The previous gate used isAgentsEndpoint, which only matches the literal `agents` endpoint. But provider endpoints (anthropic, openai, custom, …) run through the agents runtime as ephemeral agents and DO emit deterministic AgentRun traces, so isAgentsEndpoint('anthropic') === false suppressed scoring for the common case. Only the OpenAI/Azure Assistants endpoints use a separate runtime with no agent trace, so gate on !isAssistantsEndpoint instead. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * style: sort message method imports * fix: honor Langfuse tracing gates for feedback scores * refactor: move Langfuse feedback logic to api package * fix: support Langfuse host for feedback scores * test: type Langfuse feedback fetch mock * chore: compact Langfuse feedback comment --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: Danny Avila <danny@librechat.ai> |
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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
-
🔦 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
-
⚙️ 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.