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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/
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* 📎 feat: Direct Provider Attachment Support for Multimodal Content * 📑 feat: Anthropic Direct Provider Upload (#9072) * feat: implement Anthropic native PDF support with document preservation - Add comprehensive debug logging throughout PDF processing pipeline - Refactor attachment processing to separate image and document handling - Create distinct addImageURLs(), addDocuments(), and processAttachments() methods - Fix critical bugs in stream handling and parameter passing - Add streamToBuffer utility for proper stream-to-buffer conversion - Remove api/agents submodule from repository 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * chore: remove out of scope formatting changes * fix: stop duplication of file in chat on end of response stream * chore: bring back file search and ocr options * chore: localize upload to provider string in file menu * refactor: change createMenuItems args to fit new pattern introduced by anthropic-native-pdf-support * feat: add cache point for pdfs processed by anthropic endpoint since they are unlikely to change and should benefit from caching * feat: combine Upload Image into Upload to Provider since they both perform direct upload and change provider upload icon to reflect multimodal upload * feat: add citations support according to docs * refactor: remove redundant 'document' check since documents are handled properly by formatMessage in the agents repo now * refactor: change upload logic so anthropic endpoint isn't exempted from normal upload path using Agents for consistency with the rest of the upload logic * fix: include width and height in return from uploadLocalFile so images are correctly identified when going through an AgentUpload in addImageURLs * chore: remove client specific handling since the direct provider stuff is handled by the agent client * feat: handle documents in AgentClient so no need for change to agents repo * chore: removed unused changes * chore: remove auto generated comments from OG commit * feat: add logic for agents to use direct to provider uploads if supported (currently just anthropic) * fix: reintroduce role check to fix render error because of undefined value for Content Part * fix: actually fix render bug by using proper isCreatedByUser check and making sure our mutation of formattedMessage.content is consistent --------- Co-authored-by: Andres Restrepo <andres@thelinuxkid.com> Co-authored-by: Claude <noreply@anthropic.com> 📁 feat: Send Attachments Directly to Provider (OpenAI) (#9098) * refactor: change references from direct upload to direct attach to better reflect functionality since we are just using base64 encoding strategy now rather than Files/File API for sending our attachments directly to the provider, the upload nomenclature no longer makes sense. direct_attach better describes the different methods of sending attachments to providers anyways even if we later introduce direct upload support * feat: add upload to provider option for openai (and agent) ui * chore: move anthropic pdf validator over to packages/api * feat: simple pdf validation according to openai docs * feat: add provider agnostic validatePdf logic to start handling multiple endpoints * feat: add handling for openai specific documentPart formatting * refactor: move require statement to proper place at top of file * chore: add in openAI endpoint for the rest of the document handling logic * feat: add direct attach support for azureOpenAI endpoint and agents * feat: add pdf validation for azureOpenAI endpoint * refactor: unify all the endpoint checks with isDocumentSupportedEndpoint * refactor: consolidate Upload to Provider vs Upload image logic for clarity * refactor: remove anthropic from anthropic_multimodal fileType since we support multiple providers now 🗂️ feat: Send Attachments Directly to Provider (Google) (#9100) * feat: add validation for google PDFs and add google endpoint as a document supporting endpoint * feat: add proper pdf formatting for google endpoints (requires PR #14 in agents) * feat: add multimodal support for google endpoint attachments * feat: add audio file svg * fix: refactor attachments logic so multi-attachment messages work properly * feat: add video file svg * fix: allows for followup questions of uploaded multimodal attachments * fix: remove incorrect final message filtering that was breaking Attachment component rendering fix: manualy rename 'documents' to 'Documents' in git since it wasn't picked up due to case insensitivity in dir name fix: add logic so filepicker for a google agent has proper filetype filtering 🛫 refactor: Move Encoding Logic to packages/api (#9182) * refactor: move audio encode over to TS * refactor: audio encoding now functional in LC again * refactor: move video encode over to TS * refactor: move document encode over to TS * refactor: video encoding now functional in LC again * refactor: document encoding now functional in LC again * fix: extend file type options in AttachFileMenu to include 'google_multimodal' and update dependency array to include agent?.provider * feat: only accept pdfs if responses api is enabled for openai convos chore: address ESLint comments chore: add missing audio mimetype * fix: type safety for message content parts and improve null handling * chore: reorder AttachFileMenuProps for consistency and clarity * chore: import order in AttachFileMenu * fix: improve null handling for text parts in parseTextParts function * fix: remove no longer used unsupported capability error message for file uploads * fix: OpenAI Direct File Attachment Format * fix: update encodeAndFormatDocuments to support OpenAI responses API and enhance document result types * refactor: broaden providers supported for documents * feat: enhance DragDrop context and modal to support document uploads based on provider capabilities * fix: reorder import statements for consistency in video encoding module --------- Co-authored-by: Dustin Healy <54083382+dustinhealy@users.noreply.github.com> |
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LibreChat
✨ 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, 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
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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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🗣️ 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
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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 brings together the future of assistant AIs with the revolutionary technology of OpenAI's ChatGPT. Celebrating the original styling, LibreChat gives you the ability to integrate multiple AI models. It also integrates and enhances original client features such as conversation and message search, prompt templates and plugins.
With LibreChat, you no longer need to opt for ChatGPT Plus and can instead use free or pay-per-call APIs. We welcome contributions, cloning, and forking to enhance the capabilities of this advanced chatbot platform.
Click on the thumbnail to open the video☝️
🌐 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.