mirror of
https://github.com/danny-avila/LibreChat.git
synced 2026-10-22 18:13:27 +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
8b354a8c92
* feat: compose per-agent scope and per-user active-state filters in $ popover
Stack two runtime-truth filters on top of the existing `isUserInvocable`
check so the `$` skill popover matches what will actually be available at
turn time:
- Per-agent skill scope from `agent.skills` (resolved via useChatContext
+ useAgentsMapContext), mirroring backend `scopeSkillIds` semantics:
`undefined`/`null` → no scope, `[]` → empty, non-empty → intersection.
- Per-user ownership-aware active state via `useSkillActiveState().isActive`.
The filters are composed in a pure, exported `filterSkillsForPopover`
helper so the agent-scope ∩ active ∩ invocable matrix can be unit-tested
without rendering the component. Short-circuits on cheapest check first
(agent scope → active → invocation mode).
Backend still enforces both filters at runtime; this PR is a UX mirror so
users do not see popover entries that would be filtered out by the time
the LLM turn begins.
* refactor: thread agentId into SkillsCommand as a prop
Drop the direct `useChatContext()` call inside SkillsCommand in favor of
receiving `agentId` from ChatForm. The parent already subscribes to the
conversation via its single useChatContext call, and SkillsCommand is
wrapped in React.memo — threading the id as a prop means the popover only
re-renders when agent_id actually changes instead of on every unrelated
conversation-shape mutation. Mirrors the pattern AttachFileChat already
uses for `conversation` / `agentId`.
No behavior change; filter semantics and test coverage are identical.
* fix: fail closed when agent skill scope cannot be resolved
Previously, if `conversation.agent_id` was set but the agents map had no
entry for it (hydration pending, query failure, or missing VIEW access),
the popover treated the scope as `undefined` and showed the full ACL
catalog. That leaks options the backend will reject at turn time, the
opposite of what this phase is meant to do.
Distinguish the unresolved cases ("map undefined" and "agent not in map")
from the intentionally-unconfigured case ("agent exists, no `skills`
field") and return `[]` for the former, preserving the backend semantics
of `scopeSkillIds` only for the latter. Adds two tests covering both
fail-closed branches.
* fix: surface agent.skills in list projection and treat ephemeral ids as unscoped
Two holes flagged on the earlier fail-closed commit:
1. The list-agents projection in `getListAgentsByAccess` omitted the
`skills` field, so `agentsMap[agentId].skills` was always undefined
and the popover fell back to the full ACL catalog for every scoped
agent — the opposite of this phase's intent. Add `skills: 1` to the
projection and lock it in with a new test.
2. Conversations can carry ephemeral agent ids (e.g. `ephemeral` after
switching off the agents endpoint) that intentionally don't live in
the agents map. The prior fail-closed branch blanked the popover in
those cases. Treat anything that doesn't start with `agent_` as
unscoped via the existing `isEphemeralAgent` helper so the popover
shows the full ACL-visible catalog, matching how no-agent convos
already behave.
Frontend: 18 tests pass (adds one ephemeral-id case).
Backend: 10 getListAgentsByAccess tests pass (adds one projection case).
* refactor: pass through hydration race, only fail closed when map is authoritative
Split the two "cannot resolve scope" cases that were previously collapsed
onto the same fail-closed branch:
- `agentsMap === undefined` means the agents list query has not settled
yet. Return `undefined` (full catalog). The map typically hydrates well
before the first `$` open, and the backend still scopes at turn time —
blanking the popover during a sub-second race produces worse UX with
no security benefit.
- `agentsMap` is populated but the agent is absent means the agent was
deleted or the user's VIEW access was revoked mid-session. That is
authoritative missing state, so keep the fail-closed behavior — the
full catalog would be misleading.
Updates the associated test case to assert the hydration-race path now
shows the catalog, and rewrites the in-code comment to distinguish the
two branches.
* refactor: drop `as string` in agent scope memo by tightening the guard
`isEphemeralAgent` returns true for null/undefined so the original code
was runtime-safe, but its signature returns plain `boolean` rather than
a type predicate, so TypeScript never narrowed `agentId` to `string` and
the subsequent map lookup required an `as string` assertion. Split the
guard into `!agentId || isEphemeralAgent(agentId)` so the narrowing falls
out naturally and the assertion can be removed.
No behavior change; 18 tests pass.
|
||
|---|---|---|
| .devcontainer | ||
| .do/gitnexus | ||
| .github | ||
| .husky | ||
| .vscode | ||
| api | ||
| client | ||
| config | ||
| e2e | ||
| helm | ||
| packages | ||
| redis-config | ||
| src/tests | ||
| utils | ||
| .dockerignore | ||
| .env.example | ||
| .gitattributes | ||
| .gitignore | ||
| .prettierrc | ||
| AGENTS.md | ||
| bun.lock | ||
| CLAUDE.md | ||
| deploy-compose.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
-
🔦 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
- 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 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.