* refactor: process code output files for re-use (WIP) * feat: file attachment handling with additional metadata for downloads * refactor: Update directory path logic for local file saving based on basePath * refactor: file attachment handling to support TFile type and improve data merging logic * feat: thread filtering of code-generated files - Introduced parentMessageId parameter in addedConvo and initialize functions to enhance thread management. - Updated related methods to utilize parentMessageId for retrieving messages and filtering code-generated files by conversation threads. - Enhanced type definitions to include parentMessageId in relevant interfaces for better clarity and usage. * chore: imports/params ordering * feat: update file model to use messageId for filtering and processing - Changed references from 'message' to 'messageId' in file-related methods for consistency. - Added messageId field to the file schema and updated related types. - Enhanced file processing logic to accommodate the new messageId structure. * feat: enhance file retrieval methods to support user-uploaded execute_code files - Added a new method `getUserCodeFiles` to retrieve user-uploaded execute_code files, excluding code-generated files. - Updated existing file retrieval methods to improve filtering logic and handle edge cases. - Enhanced thread data extraction to collect both message IDs and file IDs efficiently. - Integrated `getUserCodeFiles` into relevant endpoints for better file management in conversations. * chore: update @librechat/agents package version to 3.0.78 in package-lock.json and related package.json files * refactor: file processing and retrieval logic - Added a fallback mechanism for download URLs when files exceed size limits or cannot be processed locally. - Implemented a deduplication strategy for code-generated files based on conversationId and filename to optimize storage. - Updated file retrieval methods to ensure proper filtering by messageIds, preventing orphaned files from being included. - Introduced comprehensive tests for new thread data extraction functionality, covering edge cases and performance considerations. * fix: improve file retrieval tests and handling of optional properties - Updated tests to safely access optional properties using non-null assertions. - Modified test descriptions for clarity regarding the exclusion of execute_code files. - Ensured that the retrieval logic correctly reflects the expected outcomes for file queries. * test: add comprehensive unit tests for processCodeOutput functionality - Introduced a new test suite for the processCodeOutput function, covering various scenarios including file retrieval, creation, and processing for both image and non-image files. - Implemented mocks for dependencies such as axios, logger, and file models to isolate tests and ensure reliable outcomes. - Validated behavior for existing files, new file creation, and error handling, including size limits and fallback mechanisms. - Enhanced test coverage for metadata handling and usage increment logic, ensuring robust verification of file processing outcomes. * test: enhance file size limit enforcement in processCodeOutput tests - Introduced a configurable file size limit for tests to improve flexibility and coverage. - Mocked the `librechat-data-provider` to allow dynamic adjustment of file size limits during tests. - Updated the file size limit enforcement test to validate behavior when files exceed specified limits, ensuring proper fallback to download URLs. - Reset file size limit after tests to maintain isolation for subsequent test cases. |
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| api | ||
| client | ||
| config | ||
| e2e | ||
| helm | ||
| packages | ||
| redis-config | ||
| src/tests | ||
| utils | ||
| .dockerignore | ||
| .env.example | ||
| .gitignore | ||
| .prettierrc | ||
| bun.lock | ||
| CHANGELOG.md | ||
| deploy-compose.yml | ||
| docker-compose.override.yml.example | ||
| docker-compose.yml | ||
| Dockerfile | ||
| Dockerfile.multi | ||
| eslint.config.mjs | ||
| librechat.example.yaml | ||
| LICENSE | ||
| package-lock.json | ||
| package.json | ||
| rag.yml | ||
| README.md | ||
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, 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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🗣️ 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 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.
