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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
9efd61d57d
* 🔐 fix: Forward per-file `entity_id` through code-env priming Skill files and persisted code-env files now carry their `entity_id` on the in-memory file refs that seed `Graph.sessions`. Without this, an execute call that mixes a skill file (uploaded with `entity_id=skillId`) and a user attachment (uploaded with no `entity_id`) collapses onto a single request-level entity at the codeapi authorization step and one side 403s. With per-file `entity_id`, codeapi resolves sessionKey per file and both authorize. - `primeSkillFiles` / `primeInvokedSkills`: thread `entity_id` through fresh-upload, cache-hit, and per-skill-batch paths in `packages/api/src/agents/skillFiles.ts`. - `primeFiles` (Code/process.js): parse `entity_id` from the persisted `codeEnvIdentifier` query string once per iteration; forward through `pushFile`, including the reupload path which re-parses the fresh identifier returned by codeapi. - Tests: extend `skillFiles.spec.ts` with two cases — fresh-upload propagation and cached-hot-path parsing. Companion PRs in flight on `@librechat/agents` (forward `entity_id` through `_injected_files`) and codeapi (per-file authorization). All three are wire-back-compat: an absent `entity_id` falls back to the existing request-level resolution. * 🔧 chore: Update dependencies in package-lock.json and package.json - Bump `@librechat/agents` to version `3.1.78-dev.0` across multiple package files. - Upgrade `@langchain/langgraph-checkpoint` to version `1.0.2` and update its peer dependency for `@langchain/core` to `^1.1.44`. - Update `axios` to version `1.16.0` and `follow-redirects` to version `1.16.0`. - Add `@types/diff` as a new dependency at version `7.0.2` and include `diff` at version `9.0.0` in the `@librechat/agents` module. - Introduce optional peer dependency `@anthropic-ai/sandbox-runtime` for `@librechat/agents` with metadata indicating it is optional. * 🐛 fix: Make skill code-env cache persistence observable Two changes to surface the skill-bundle re-upload issue without behavioral changes to tenant scoping (root cause to be confirmed via the new warn log): 1. `primeSkillFiles` now awaits `updateSkillFileCodeEnvIds` instead of firing-and-forgetting it. The prior shape could race with the next prime (read-before-write) even when the bulkWrite itself succeeds, producing a silent cache miss. Latency cost: ~10–50ms on first prime; in exchange every subsequent prime can rely on the identifier being persisted by the time it reads. 2. `updateSkillFileCodeEnvIds` now returns `{matchedCount, modifiedCount}` from the underlying bulkWrite. `primeSkillFiles` warn-logs when `modifiedCount < updates.length`, making any silent drop visible — whether the cause is tenant filtering, a `relativePath` mismatch, schema-plugin scoping, or something else. Prior shape returned `Promise<void>` so any zero-modification result was invisible. Tests: - `skill.spec.ts`: real-MongoDB happy path (counts match), no-match case (modifiedCount=0), and empty-input contract. - `skillFiles.spec.ts`: deferred-promise harness proving the call site awaits the persist (prime stays pending until the persist resolves) and forwards partial-write counts. Deliberately narrower than the original draft of this commit, which also bypassed `tenantSafeBulkWrite` for the codeEnvIdentifier write on the speculative diagnosis that tenant filtering was the cause. That change was a behavior shift on tenant scoping without confirmation; reverted pending real-world signal from the new warn log. * 🐛 fix: Justify await for skill code-env persistence under concurrency The await on `updateSkillFileCodeEnvIds` isn't a defensive nicety — it's load-bearing for cache effectiveness under concurrent priming. Verified with an out-of-tree harness (`config/test-skill-cache.ts`, not committed) that wires `primeSkillFiles` against a real codeapi stack: - With fire-and-forget (prior shape after this branch's revert): back-to-back primes for the same skill miss the cache. Call N+1 reads SkillFile docs before Call N's write commits, sees no `codeEnvIdentifier`, re-uploads, fires its own forget that Call N+2 also races. Steady-state stays in cache miss for the full burst. - With await: the prime that does the upload commits its persist before resolving, so the next concurrent prime observes the cache pointer instead of racing the read. Latency cost ~10–50ms on the upload prime; subsequent concurrent primes save an entire batch upload. In production with primes seconds apart this race is rare; at scale with many users hitting the same skill in the same second it's the difference between M and N×M uploads. Updates the regression test to assert the await contract (deferred persist promise → prime stays pending until persist resolves). Comment in `skillFiles.ts` rewritten to document the concurrency rationale rather than the weaker "race-with-next-prime" framing the prior commit used. |
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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
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🧠 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
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📖 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.