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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
2aea5f4a3a
* 📖 feat: Add Claude Fable 5 Support Claude Fable 5 (`claude-fable-5`) is Anthropic's most capable widely released model (GA 2026-06-09). Its naming drops the opus/sonnet/haiku tier, so LibreChat's name-parsing helpers miss it; this teaches them the Mythos-class family (Fable / Mythos) and registers the model. - Add `parseMythosClassVersion` and route Fable/Mythos through `supportsAdaptiveThinking`, `omitsThinkingByDefault`, `omitsSamplingParameters`, and `supportsContext1m` - Extend the Bedrock detection regexes (beta headers + adaptive-thinking branch) and `checkPromptCacheSupport` to match `claude-(fable|mythos)` - Return 128K max output for Fable/Mythos in `maxOutputTokens.reset`/`set` - Register `claude-fable-5` in shared Anthropic + Bedrock model lists, 1M context / 128K output token maps, and $10/$50 pricing with 12.5/1 cache rates (`claude-mythos-5` added to token + pricing maps only, since it is limited-availability) - Update `.env.example` and the Vertex `librechat.example.yaml` examples - Add parallel tests across tokens, Anthropic llm config, the Bedrock parser, and tx pricing * 🧹 refactor: Centralize Mythos-class detection; address review feedback - Add `isMythosClassModel` + `MYTHOS_CLASS_FAMILIES` in schemas.ts as the single source of truth for the Fable/Mythos family; route every gate (adaptive thinking, omit-thinking, omit-sampling, 1M context, prompt cache, 128K max-output reset/set) through it. A future sibling class is now a one-line edit. - [Codex P2] Exclude Mythos-class from getBedrockAnthropicBetaHeaders: Fable/ Mythos ship 128K output + fine-grained tool streaming by default, and the legacy output-128k-2025-02-19 beta is 3.7-Sonnet-only on Bedrock and risks request rejection. They still get adaptive thinking + effort. - [Copilot] Add Mythos 5 test parity (name variations, cache rates, pinned $10/$50) in tx.spec; add Mythos context/max-output/name-match in tokens.spec; fix the stale claude-3-7-sonnet-only comment in bedrock.ts. - Add isMythosClassModel unit tests covering all declared families. * 📝 docs: Clarify Mythos-class Bedrock requirements; correct beta-omit rationale Verified live against Bedrock (acct 951834775723, us-west-2): - anthropic.claude-fable-5 IS a real Bedrock catalog model, INFERENCE_PROFILE-only exactly like the existing anthropic.claude-opus-4-7/4-8 and claude-sonnet-4-6 default entries (refutes the "invalid model id" review claim). - Mythos-class also requires opting into Anthropic data sharing (Bedrock Data Retention API) before invocation. Changes: - .env.example: note that Mythos-class (Fable/Mythos) is inference-profile-only on Bedrock and needs the data-sharing opt-in. - bedrock.ts: reword the beta-omit comment to the verified rationale — output-128k / fine-grained-tool-streaming are built-in/no-op for the 4.7+ generation, so omitting them is lossless (dropped the unverified "Bedrock may reject" wording). * 🔄 refactor: Reorganize imports in schemas.ts and tx.spec.ts - Moved `TFeedback` and `Tools` imports to the top of `schemas.ts` for better readability. - Adjusted import order in `tx.spec.ts` to maintain consistency and improve clarity. |
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| librechat.example.yaml | ||
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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
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- 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
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💬 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
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🎨 Customizable Interface:
- Customizable Dropdown & Interface that adapts to both power users and newcomers
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- 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
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🗣️ Speech & Audio:
- Chat hands-free with Speech-to-Text and Text-to-Speech
- Automatically send and play Audio
- Supports OpenAI, Azure OpenAI, and Elevenlabs
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📥 Import & Export Conversations:
- Import Conversations from LibreChat, ChatGPT, Chatbot UI
- Export conversations as screenshots, markdown, text, json
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🔍 Search & Discovery:
- Search all messages/conversations
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👥 Multi-User & Secure Access:
- Multi-User, Secure Authentication with OAuth2, LDAP, & Email Login Support
- Built-in Moderation, and Token spend tools
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⚙️ 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.