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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
187ab787da
* 🌩️ feat: CloudFront CDN File Strategy + signed cookies Squashed from PR #12193: - feat(storage): add CloudFront CDN file strategy - feat(auth): add CloudFront signed cookie support Note: package.json/package-lock.json dependency additions are intentionally omitted from this commit and will be re-added via `npm install` after rebase to avoid lock-file merge conflicts. The two new peer deps that need to be re-installed are: - @aws-sdk/client-cloudfront@^3.1032.0 - @aws-sdk/cloudfront-signer@^3.1012.0 Also fixes 4 missing destructured names in AuthService.spec.js (getUserById, generateToken, generateRefreshToken, createSession) that were referenced in tests but not imported from the mocked '~/models'. * 📦 chore: install CloudFront SDK deps for PR #12193 Adds the two AWS CloudFront packages required by the rebased CloudFront CDN strategy: - @aws-sdk/client-cloudfront - @aws-sdk/cloudfront-signer Following the @aws-sdk/client-s3 pattern: - api/package.json: regular dependency (runtime resolution) - packages/api/package.json: peerDependency Generated by `npm install` against the freshly rebased lock file to avoid the merge conflicts that came from the original PR's lock-file edits being made against an older base of dev. * 🐛 fix: CI failures + review findings on CloudFront PR #12193 CI fixes - Rename packages/data-provider/src/__tests__/cloudfront-config.test.ts → src/cloudfront-config.spec.ts. Jest's default testMatch picks up __tests__/ directories even inside dist/, so the compiled .d.ts shell was being executed as an empty test suite. Moving to .spec.ts (matching the rest of the package) avoids the dist/ pickup. - Add cookieExpiry: 1800 to CloudFront crud.test makeConfig: the schema applies a default so CloudFrontFullConfig requires it. Review findings addressed - #1 (Codex + comprehensive): Normalize CloudFront domain with /\/+$/ regex (and key with /^\/+/ regex) in buildCloudFrontUrl, matching the cookie code so resource policy and file URLs stay aligned even when the configured domain has multiple trailing slashes. Added tests. - #2: Move DEFAULT_BASE_PATH out of s3Config into shared packages/api/src/storage/constants.ts. ImageService no longer imports S3-specific config. - #3: getCloudFrontConfig() returns Readonly<CloudFrontFullConfig> | null to discourage mutation of the cached signing config. - #4: Add cross-field refinement tests for cloudfrontConfigSchema (invalidateOnDelete-without-distributionId, imageSigning="cookies"-without-cookieDomain). - #6: Revert unrelated MCP comment re-indentation in librechat.example.yaml. - #7: Add azure_blob to the strategy list comment. Skipped - #5 (extractKeyFromS3Url with CloudFront URLs): existing deleteFileFromCloudFront tests already cover the path-equivalence assumption; renaming the helper is real refactor work beyond this PR's scope. - #8, #9 (NIT, low confidence): leaving for author judgement. * 🧹 chore: drop dead DEFAULT_BASE_PATH from s3Config test mock After moving DEFAULT_BASE_PATH to ~/storage/constants, crud.ts no longer reads it from s3Config — so the entry in the s3Config jest mock was misleading dead config. The tests still pass because the unmocked real constants module provides the value. --------- Co-authored-by: Danny Avila <danny@librechat.ai> |
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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
-
🔦 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.