mirror of
https://github.com/danny-avila/LibreChat.git
synced 2026-09-10 08:31:37 +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
cd215150cc
Some checks are pending
Docker Dev Branch Images Build / build (Dockerfile, lc-dev, node) (push) Waiting to run
Docker Dev Branch Images Build / build (Dockerfile.multi, lc-dev-api, api-build) (push) Waiting to run
GitNexus Index / index (push) Waiting to run
GitNexus Index / post-index (push) Blocked by required conditions
* ✳️ feat: Claude Opus 5 Support - Add claude-opus-5 to Anthropic/Bedrock model lists, token maps, and pricing - Extend requiresExplicitThinkingDisabled to Opus 5 so thinking-off sticks - Clamp xhigh/max effort to high when thinking is disabled (Opus 5 400) * 🪣 fix: Use Bedrock Inference Profiles and Add Vertex Opus Models Bare `anthropic.` Claude 4+ IDs are not invocable on-demand via Converse: Bedrock rejects them with "Retry your request with the ID or ARN of an inference profile that contains this model." Verified live against us-west-2 for Fable 5, Opus 5, Opus 4.8, Sonnet 5, Sonnet 4.6, Opus 4.6, Sonnet 4.5, Haiku 4.5, and Opus 4.1. Switch those defaults to the `global.` profile (no regional pricing premium); Opus 4.1 has no global profile, so it uses `us.`. Also add the modern Opus family to the Vertex defaults. `loadEndpoints` swaps the shared Anthropic list for the Vertex model names, so Opus was invisible to every Vertex deployment that did not enumerate models by hand. * 📋 chore: Cover Opus 5 Gaps From PR #14420 Picks up items from the parallel community PR by @jona7o: - Add claude-opus-5 to the librechat.example.yaml Vertex example (both the legacy array and the deploymentName map), which already lists Fable 5 and Opus 4.8 - Mention Opus 5 in the configureReasoning doc comment, and note that its early return is why the effort cap is enforced by the caller - Assert Opus 5 carries no long-context premium pricing - Cover the Sonnet 5 negative case for the effort cap, and the persisted disabled-object round-trip carrying an effort * 🌍 docs: Warn That Vertex Regional Endpoints Reject Modern Models Anthropic serves Sonnet 4.6 and earlier on specific Vertex regional endpoints; newer models (Opus 4.7+, Opus 5, Sonnet 5, Fable 5) require `global` or a multi-region location and 404 on a specific region. The `us-east5` default therefore cannot serve the Opus models added here, nor the Sonnet 5 entry that predates this branch. Documents the constraint at all three places an operator sets the region, and at the fallback itself. Leaves the default unchanged: switching it to `global` would silently alter data routing and residency for existing deployments, which is a separate call. * 🩹 fix: Restore PDF Exemption for Undated IDs and Gate Vertex Defaults Two issues raised in review: - BEDROCK_CLAUDE_4_PLUS_RE required a `-` after the major version, so it matched `claude-opus-4-8` but not undated IDs like `claude-opus-5`. Those models silently lost the Claude 4+ PDF exemption and fell back to the 4.5 MB limit. Sonnet 5 and Fable 5 were already affected before this branch; Fable/Mythos were also missing from the family alternation. - The Vertex defaults advertised models that only `global` and the multi-region locations serve, so a default `us-east5` deployment listed Opus choices that 404 on first request. Filter the built-in defaults by configured region instead of changing the region default, which would alter data routing for existing deployments. An explicit `vertex.models` list is the operator's choice and is never pruned. * 🧩 fix: Match Bare Claude IDs in the Bedrock PDF Exemption An application inference profile maps a LibreChat model ID with no `anthropic.` segment, so `claude-opus-5` failed the Claude 4+ check and fell back to the 4.5 MB PDF limit. Make the prefix optional and accept both segment orders, mirroring BEDROCK_CLAUDE_4PLUS_THINKING in librechat-data-provider, which matches on the family token for exactly this reason. Only reached for the Bedrock provider, so the looser prefix cannot leak into other endpoints. Verified Claude 3.x, Nova, Llama, Cohere, and Mistral IDs still fall through to the default limit. * 🧹 fix: Drop Retired Claude 3.5 Models From Bedrock Defaults The three Claude 3.5 entries reached end of life at AWS and return ResourceNotFoundException in every prefix form (bare, `us.`, `global.` — verified live against us-west-2), so selecting one was a hard error. Their modern equivalents are already in the list: Sonnet 5 / Sonnet 4.6 supersede the 3.5 Sonnets, and Haiku 4.5 supersedes 3.5 Haiku. Every remaining Anthropic default is now live-verified invocable. `.env.example` swaps its retired example ID for Haiku 4.5. * 🔒 refactor: Narrow Effort-Clamp Types Instead of Asserting Both clamp sites reached into loosely-typed containers with assertions: llm.ts used an `as unknown as { type?: string }` double assertion to read the thinking type, and the Bedrock parser cast `output_config` to `{ effort?: unknown }` before confirming it was an object. CLAUDE.md's type-safety rules call for narrowing over both. Adds `isThinkingDisabled` and `clampOutputConfigEffort` to librechat-data-provider, using `in`-operator narrowing and a type predicate so no assertion is needed at all. Both call sites now share one implementation rather than duplicating the clamp. Behavior is unchanged; existing clamp tests cover it. |
||
|---|---|---|
| .devcontainer | ||
| .do/gitnexus | ||
| .github | ||
| .husky | ||
| .vscode | ||
| api | ||
| client | ||
| config | ||
| e2e | ||
| helm | ||
| otel/langfuse-fanout | ||
| packages | ||
| redis-config | ||
| scripts | ||
| skill | ||
| src/tests | ||
| utils | ||
| .dockerignore | ||
| .env.example | ||
| .gitattributes | ||
| .gitignore | ||
| .nvmrc | ||
| .prettierrc | ||
| AGENTS.md | ||
| bun.lock | ||
| CLAUDE.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 | ||
| 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.