mirror of
https://github.com/danny-avila/LibreChat.git
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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
fda1bfc3cc
* fix(data-schemas): resolve TypeScript strict type check errors in source files - Constrain ConfigSection to string keys via `string & keyof TCustomConfig` - Replace broken `z` import from data-provider with TCustomConfig derivation - Add `_id: Types.ObjectId` to IUser matching other Document interfaces - Add `federatedTokens` and `openidTokens` optional fields to IUser - Type mongoose model accessors as `Model<IRole>` and `Model<IUser>` - Widen `getPremiumRate` param to accept `number | null` - Widen `bulkWriteAclEntries` ops to untyped `AnyBulkWriteOperation[]` - Fix `getUserPrincipals` return type to use `PrincipalType` enum - Add non-null assertions for `connection.db` in migration files - Import DailyRotateFile constructor directly instead of relying on broken module augmentation across mismatched node_modules trees - Add winston-daily-rotate-file as devDependency for type resolution * fix(data-schemas): resolve TypeScript type errors in test files - Replace arbitrary test keys with valid TCustomConfig properties in config.spec - Use non-null assertions for permission objects in role.methods.spec - Replace `.SHARED_GLOBAL` access with `.not.toHaveProperty()` for legacy field - Add non-null assertions for balance, writeRate, readRate in spendTokens.spec - Update mock user _id to use ObjectId in user.test - Remove unused Schema import in tenantIndexes.spec * fix(api): resolve TypeScript strict type check errors across source and test files - Widen getUserPrincipals dep type in capabilities middleware - Fix federatedTokens type in createSafeUser return - Use proper mock req type for read-only properties in preAuthTenant.spec - Replace `as IUser` casts with ObjectId-typed mocks in openid/oidc specs - Use TokenExchangeMethodEnum values instead of string literals in MCP specs - Fix SessionStore type compatibility in sessionCache specs - Replace `catch (error: any)` with `(error as Error)` in redis specs - Remove invalid properties from test data in initialize and MCP specs - Add String.prototype.isWellFormed declaration for sanitizeTitle spec * fix(client): resolve TypeScript type errors in shared client components - Add default values for destructured bindings in OGDialogTemplate - Replace broken ExtendedFile import with inline type in FileIcon * ci: add TypeScript type-check job to backend review workflow Add a `typecheck` job that runs `tsc --noEmit` on all four TypeScript workspaces (data-provider, data-schemas, @librechat/api, @librechat/client) after the build step. Catches type errors that rollup builds may miss. * fix(data-schemas): add local type declaration for DailyRotateFile transport The `winston-daily-rotate-file` package ships a module augmentation for `winston/lib/winston/transports`, but it fails when winston and winston-daily-rotate-file resolve from different node_modules trees (which happens in this monorepo due to npm hoisting). Add a local `.d.ts` declaration that augments the same module path from within data-schemas' compilation unit, so `tsc --noEmit` passes while keeping the original runtime pattern (`new winston.transports.DailyRotateFile`). * fix: address code review findings from PR #12451 - Restore typed `AnyBulkWriteOperation<AclEntry>[]` on bulkWriteAclEntries, cast to untyped only at the tenantSafeBulkWrite call site (Finding 1) - Type `findUser` model accessor consistently with `findUsers` (Finding 2) - Replace inline `import('mongoose').ClientSession` with top-level import type - Use `toHaveLength` for spy assertions in playwright-expect spec file - Replace numbered Record casts with `.not.toHaveProperty()` in role.methods.spec for SHARED_GLOBAL assertions - Use per-test ObjectIds instead of shared testUserId in openid.spec - Replace inline `import()` type annotations with top-level SessionData import in sessionCache spec - Remove extraneous blank line in user.ts searchUsers * refactor: address remaining review findings (4–7) - Extract OIDCTokens interface in user.ts; deduplicate across IUser fields and oidc.ts FederatedTokens (Finding 4) - Move String.isWellFormed declaration from spec file to project-level src/types/es2024-string.d.ts (Finding 5) - Replace verbose `= undefined` defaults in OGDialogTemplate with null coalescing pattern (Finding 6) - Replace `Record<string, unknown>` TestConfig with named interface containing explicit test fields (Finding 7) |
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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
- 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 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.