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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
9f8b6d92c0
* ✨ feat: Add Claude Sonnet 5 Support Wire up the claude-sonnet-5 model across token, pricing, and model-list config: - Context window (1M) and max output (128K) in @librechat/api token maps - Standard pricing ($3/$15 per MTok) and cache rates in data-schemas tx - 128K output-token carve-out in anthropicSettings (the family-wide 64K rule capped Sonnet 5 below its real limit); Bedrock/Vertex thinking and 1M-context detection already cover sonnet major >= 5 generically - Add to shared Anthropic, Bedrock, and Vertex default model lists, plus the .env.example examples - Tests for context/output/pricing/matching across the affected packages * ✅ test: Align Sonnet 5+ maxOutputTokens defaults with 128K spec getLLMConfig defaults flow from anthropicSettings.maxOutputTokens.reset(), which now returns 128K for Sonnet 5+. Update the future-proofing assertions in llm.spec.ts (Sonnet 5.x and 6-9.x) that still expected the old family-wide 64K cap. Haiku stays 64K; Opus stays 128K. * 🎚️ fix: Gate Sonnet 5 capability behaviors (sampling, thinking) Adding claude-sonnet-5 to the default list exposed it without the Anthropic capability gates, all confirmed against the live API: - omitsSamplingParameters: Sonnet 5 returns 400 on non-default temperature/ top_p/top_k ('deprecated for this model'); now dropped so selecting the model with saved sampling settings no longer fails. - requiresExplicitThinkingDisabled: omitting 'thinking' runs adaptive ON by default on Sonnet 5, so disabling thinking now sends { type: 'disabled' } (verified: 200, no thinking block) instead of omitting the field. - omitsThinkingByDefault: thinking.display defaults to omitted (empty thinking blocks); the display resolver now returns 'summarized' for Sonnet 5+ so the Thoughts UI keeps working (verified: 757-char summary returned). Gates apply to both the direct Anthropic and Bedrock paths. Tests added in bedrock.spec and llm.spec. * 🩹 fix: Sonnet 5 Bedrock availability + thinking-off persistence Round-2 Codex review (all verified against the live API / Anthropic docs): - Sonnet 5 is NOT available on the legacy Bedrock InvokeModel/Converse surface (Anthropic docs: 'use Claude in Amazon Bedrock or Claude Platform on AWS'), which is what LibreChat's ChatBedrockConverse uses. Removed it from the default Bedrock model lists (config + .env.example). Opus 4.8/4.7/Fable 5 stay — those ARE reachable via InvokeModel. Sonnet 5 remains on the direct Anthropic API and Vertex, where it works. - Reverted the Bedrock-side explicit-disabled thinking handling added last round: with Sonnet 5 off Bedrock, no Bedrock model needs { type: 'disabled' }, so that path (and its round-trip concern) no longer applies. - Direct Anthropic path: a persisted { type: 'disabled' } thinking object now normalizes to a boolean flag in getLLMConfig, so a user's Sonnet 5 'thinking off' setting stays off across the model_parameters round trip instead of flipping back to adaptive (a truthy object skipped the disabled branch). * ↩️ fix: Restore Sonnet 5 on Bedrock (Converse) — verified live Reverses the round-2 removal: Sonnet 5 IS available on AWS Bedrock. Tested live via the Converse API: - global.anthropic.claude-sonnet-5 returns a normal response - bare anthropic.claude-sonnet-5 needs an inference profile — but that's identical to the already-shipping Opus 4.8 / Fable 5 / Sonnet 4.6 entries, which all fail bare on-demand the same way - temperature=0.5 -> 400 'deprecated for this model'; thinking {type:disabled} suppresses reasoning — same as the direct API The 'legacy' Bedrock docs page that claimed Sonnet 5 wasn't on the surface is stale. Restored: - anthropic.claude-sonnet-5 in bedrockModels + .env.example - the Bedrock explicit-disabled thinking handling (requiresExplicitThinkingDisabled -> { type: 'disabled' }) - the Finding 4 round-trip fix in bedrockInputSchema (coerce a persisted disabled AMRF.thinking to thinking=false instead of !!thinking -> true), with an end-to-end schema->parser test proving 'thinking off' stays sticky. Direct-path round-trip fix (getLLMConfig thinkingFlag) is unchanged. * 💵 fix: Sonnet 5 intro pricing + sticky disabled thinking on Bedrock reload Round-4 Codex review (both verified): - Pricing: Anthropic lists Sonnet 5 at introductory $2/$10 per MTok (cache $2.50/$0.20) through 2026-08-31, reverting to $3/$15 ($3.75/$0.30) on Sep 1 (confirmed on platform.claude.com/pricing). The static tx multiplier table is used for real balance transactions, so the post-intro rates were overcharging ~50% during the launch window. Switched to the intro rates with a revert comment on both the token and cache entries. - Bedrock disabled-thinking persistence: initializeBedrock feeds persisted model_parameters straight through bedrockInputParser (NOT bedrockInputSchema), where additionalModelRequestFields is a known key — so a prior thinking:{type:'disabled'} was ignored and rebuilt as adaptive on reload. bedrockInputParser now surfaces a persisted disabled AMRF.thinking as thinking=false so it re-emits {type:'disabled'}. Verified end-to-end against the real initializeBedrock call path. |
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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
- 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.