mirror of
https://github.com/danny-avila/LibreChat.git
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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
23749184a2
Mirrors the DOCX CDN architecture for PPTX: small files (≤350 KB
binary) embed as base64 and render via `pptx-preview` loaded from
jsdelivr inside the Sandpack iframe. Larger files and air-gapped
deployments fall back to the existing slide-list extraction.
Why
---
PPTX is the format where the gap between LibreChat's preview and
Claude.ai-style previews was most visible (slide-list of bullet
points vs. rendered slide layouts). LibreOffice → PDF → PDF.js is
still the eventual gold-standard answer for PPTX fidelity, but
client-side rendering inside the Sandpack iframe gets us a
meaningful intermediate step (~1.5/5 → ~3.5/5) without a sidecar.
What
----
- `pptx-preview@1.0.7` (ISC license, ~1.36 MB UMD bundle that
includes its echarts/lodash/uuid/jszip/tslib deps inline). Pinned
to a specific version on jsdelivr with SHA-384 SRI and
`crossorigin="anonymous"`.
- `buildPptxCdnDocument` mirrors the DOCX wrapper: same CSP locks
(`default-src 'none'`, `connect-src 'none'`, no eval, no base/form
tampering), same `id="lc-doc-data"` base64 slot, same fallback
message wiring (`typeof pptxPreview === 'undefined'` →
"Preview unavailable").
- New public `pptxToHtml(buffer)` dispatcher; `bufferToOfficeHtml`
switches its `'pptx'` case to call it. `pptxToSlideListHtml` stays
exported as the slide-list-only path (still hit by tests directly
and by the dispatcher fallback).
- `OFFICE_PREVIEW_DISABLE_CDN=true` env-var hatch applies to PPTX
too — air-gapped operators get the slide-list path. Same env-var
read at call time, same matrix of truthy values (`1` / `true` /
`yes` / case-insensitive / whitespace-trimmed).
- `_internal` re-exports moved to after the PPTX section since the
PPTX internals live further down in the file. Adds
`pptxToHtmlViaCdn`, `MAX_PPTX_CDN_BINARY_BYTES`,
`PPTX_PREVIEW_CDN`.
Honest caveats
--------------
- The 1.36 MB UMD bundle has `require("stream"/"events"/"buffer"/
"util")` references in its outer wrapper. Those are bundled-dep
artifacts (likely from `tslib` / Node-shim transforms) and don't
appear to execute on the browser code paths, but I haven't done
manual e2e on a wide range of decks. If a class of files turns up
that breaks rendering, the iframe-side fallback message catches it
and operators have `OFFICE_PREVIEW_DISABLE_CDN=true` as the bail.
- First-render CDN fetch is ~1.36 MB (browser-cached after).
- PPTX with embedded media easily exceeds the 350 KB binary cap;
those files take the slide-list path. Lifting the cap is a
follow-up (tied to the broader self-hosting work).
Tests
-----
11 new in two new describe blocks:
- `pptxToHtml dispatcher`: routing predicate (small → CDN, env-set
→ slide-list).
- `CDN-rendered path`: base64 round-trip, SRI integrity +
crossorigin, CSP locks (connect/eval/base/form), fallback message,
size-threshold lock at 350 KB.
- `OFFICE_PREVIEW_DISABLE_CDN escape hatch`: env-var matrix for
truthy values.
packages/api/src/files: 457/457 ✅ (was 446, +11).
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| .vscode | ||
| api | ||
| client | ||
| config | ||
| e2e | ||
| helm | ||
| packages | ||
| redis-config | ||
| src/tests | ||
| utils | ||
| .dockerignore | ||
| .env.example | ||
| .gitattributes | ||
| .gitignore | ||
| .prettierrc | ||
| AGENTS.md | ||
| bun.lock | ||
| CLAUDE.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 | ||
| README.zh.md | ||
| turbo.json | ||
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.