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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
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* 🪝 feat: Programmatic tool-approval hook seam (configurable beyond on/off) Adds a process-wide registry so host code can plug context-aware PreToolUse decision hooks into the tool-approval policy, composing with the static `endpoints.agents.toolApproval` config instead of replacing it. - `registerToolApprovalHook(factory, { matcher? })` — register a factory that builds a PreToolUse hook per run from a ToolApprovalHookContext (userId, conversationId, tenantId, appConfig); return undefined to opt the run out. Returns an unregister fn. - `buildHITLRunWiring(policy, context)` now registers the static-config policy hook as the baseline, then layers each resolved host hook after it. Decisions fold in the SDK as deny > ask > allow, so a host hook can only TIGHTEN a configured ask/deny — it can never silently auto-approve past policy (to loosen, change the static policy). updatedInput / allowedDecisions follow the SDK's last-writer-wins, so host hooks win over the baseline. - `createRun` threads the per-run context (user / conversation / tenant / appConfig) into the wiring; non-HITL and HITL-disabled runs never invoke any factory. This unlocks dynamic policy the static name-lists can't express — per-args (e.g. ask before write_file outside a workspace, the SDK's createWorkspacePolicyHook shape), per-agent, per-user. Inert until tool approval is enabled and the caller is hitlCapable. Tests: registry register/unregister/opt-out/order (hooks.spec.ts) + wiring composition, context passthrough, and disabled-path inertness (runtime.spec.ts). Full HITL suite green. * 🪝 feat: Config-driven tool-approval hook loader (librechat.yaml → hook modules) Lets operators declare programmatic tool-approval hooks in config instead of code, so the registerToolApprovalHook seam is usable without a custom build. - Config (data-provider): `endpoints.agents.toolApproval.hooks[]`, each entry `{ module, matcher?, options? }`. `module` is a bare package name or a path (resolved against the app root); its default export is a builder `(options?) => ToolApprovalHookFactory`. - Loader (@librechat/api `loadToolApprovalHooks`): imports each module, builds the factory with the entry's options, and registers it (with its optional tool-name matcher). Reload- safe (each call first unregisters its previous batch, leaving code-registered hooks alone) and robust — an unimportable module / non-function export / throwing builder is logged and skipped, never crashing startup or blocking the other hooks. Importer is injectable for tests. - Startup (api/server/index.js): loads the configured hooks once after appConfig resolves. SECURITY: modules are dynamically imported + executed in-process; this is admin-level config, documented as trusted-code-only. Tests: 9 loader cases (default/no-default export, options passthrough, bad-export skip, builder-returns-non-function skip, import-failure resilience, continue-past-bad-entry, reload de-dup). Full HITL suite green (80). * 💄 style: Sort imports in HITL hook spec files (CI sort-imports:check) * 🛡️ fix: Harden tool-approval hook loader (Codex review) Six P2 findings on the hook loader / startup wiring: - CJS/transpiled interop: unwrap a nested `default` (TS/Babel `exports.default = fn` surfaces through import() as `{ default: { default: fn } }`) before rejecting a module, so documented default-export hook modules actually load. - Validate the matcher regex at load time and skip invalid ones — the SDK compiles it with `new RegExp` at run-build time, where a bad pattern would throw out of buildHITLRunWiring and break EVERY HITL run instead of just skipping the one bad hook. - Honor the `enabled` kill switch: startup now passes hooks to the loader only when toolApproval is enabled, so a disabled endpoint imports/runs nothing (and unregisters any prior batch). - Resolve app-root-relative paths without a leading dot: a bare specifier that is a real file under basePath (e.g. `config/hooks/workspace.js`) resolves as a path; scoped/other bare names still import as packages. - Base-config-only: documented that hooks register once process-wide at startup and are NOT reloaded from per-role/user/tenant overrides — encode per-tenant logic inside the hook. - Wire the loader into the clustered startup path (api/server/experimental.js) too, not just the standard server. Tests: CJS-interop unwrap, invalid-matcher skip (+ sibling still loads), and specifier resolution (app-root file / bare package / ./relative). Full HITL suite green. * 🛡️ fix: Read tool-approval hooks from base config in clustered startup (Codex) The clustered experimental.js path read toolApproval from getAppConfig() (which merges DB __base__ overrides with no principal), so a DB override could enable/disable/replace toolApproval.hooks and import those modules in every worker — violating the base-config-only contract and diverging from the standard server. Fetch getAppConfig({ baseOnly: true }) specifically for the hook loader, matching api/server/index.js. |
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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.