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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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Per the plan-mode discussion: prove out a LibreOffice subprocess pipeline as an alternative to the docx-preview / pptx-preview CDN renderers. LibreOffice handles every office format Microsoft and LibreOffice itself can open (DOCX, PPTX, XLSX, ODT, ODP, ODS, RTF, many more), produces a PDF, and the host browser's built-in PDF viewer renders it inside the Sandpack iframe via a `data:` URI. No client-side JS dependency, no CDN dependency, true high fidelity for any feature LibreOffice supports. Off by default. Operators opt in by setting both: - `OFFICE_PREVIEW_LIBREOFFICE=true` - LibreOffice (`soffice` or `libreoffice`) on the server's `$PATH` When either is missing, the dispatcher falls through to the existing CDN/mammoth/slide-list pipeline so a misconfiguration doesn't break previews. Hardening (`packages/api/src/files/documents/libreoffice.ts`): - Fresh subprocess per call with isolated temp dir, stripped env (PATH/HOME/TMPDIR only), and `-env:UserInstallation` so concurrent conversions can't collide on shared `~/.config/libreoffice` locks - 30-second wall-time cap; SIGKILL on timeout - 50 MB PDF output cap to bound disk pressure - 512 KB output cap on the wrapped HTML so the SSE/cache contract stays intact (base64 inflates ~33%, effective PDF cap ~380 KB) - Macros disabled by default flags (`--norestore --invisible --nodefault --nofirststartwizard --nolockcheck`) - Tag-distinct `LibreOfficeUnavailableError` / `LibreOfficeConversionError` so callers can swallow appropriately Iframe wrapper (`buildPdfEmbedDocument`): - Native browser PDF viewer via `<iframe src="data:application/pdf; base64,...">` — works in Chrome, Edge, Safari, Firefox - CSP locks the iframe to `default-src 'none'; frame-src data:; connect-src 'none'; script-src 'unsafe-inline'` — no outbound network, no eval, no external scripts - `#view=FitH` for first-paint sizing - 4-second heuristic timer that swaps to a "Preview unavailable" fallback when the browser's PDF viewer is disabled (kiosk mode, Brave Shields, etc.) Wired into `wordDocToHtml` and `pptxToHtml` as the first branch — returns null when disabled / unavailable / oversized so the existing pipeline takes over. XLSX intentionally NOT routed through this path: SheetJS's HTML output is already excellent for spreadsheets (sortable, sticky headers) and PDF rendering of sheets is awkward. Tests (`libreoffice.spec.ts`, 30 cases — 25 always run, 5 conditional on the binary): env-gating parser semantics matching `OFFICE_PREVIEW_DISABLE_CDN`, fallthrough contract (never throws, returns null on any failure), CSP lock-down, fallback structure, binary probe caching + missing-binary path, error tagging, and integration tests that engage when `soffice`/`libreoffice` is on PATH (DOCX→PDF, PPTX→PDF, output-cap fallthrough). Integration tests skip cleanly on bare CI. |
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| librechat.example.yaml | ||
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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
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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
-
🗣️ 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 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.