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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
8c073b4400
* 📄 feat: Auto-render Text-Based Code Execution Artifacts Inline Eagerly extract text content from non-image artifacts produced by code execution tools and render it inline in the message instead of behind a click-to-download file card. Reuses the SkillFiles binary-detection helper and the existing parseDocument dispatcher so docx, xlsx, csv, html, code, and other text-renderable formats land directly under the tool call. PPTX is intentionally classified but not yet extracted — follow-up. * 🌐 chore: Remove unused com_download_expires locale key Removed in en/translation.json so the detect-unused-i18n-keys CI check passes. The only reference was a commented-out localize() call in LogContent.tsx that was deleted in the previous commit. * 🩹 fix: Address PR review on code artifact text extraction - extract.ts: build the temp document path from a randomUUID and pass path.basename(name) as originalname so a malicious artifact name cannot escape os.tmpdir() (P1 traversal flagged by codex/Copilot). - process.js: classify and extract using safeName, not the raw name — defense in depth alongside the temp-path fix. - classify.ts: add a bare-name lookup so extensionless text artifacts (Makefile, Dockerfile, …) classify as utf8-text instead of falling through to other. - Attachment.tsx: wire aria-expanded / aria-controls on the show-all toggle for screen reader support. - LogContent.tsx: restore a download chip (LogLink) on inline-text attachments so users can still pull down the underlying file. - Tests: cover extensionless filenames and the temp-path traversal invariant. * 🩹 fix: Address comprehensive PR review on code artifact extraction - extract.ts: walk back to a UTF-8 code-point boundary before truncating so cuts cannot land mid-multibyte and emit U+FFFD (CJK/emoji concern). truncate() now accepts the original buffer to skip a redundant encode. - extract.ts: add an 8s timeout around parseDocument via Promise.race so a pathological docx/xlsx cannot stall the response path. - process.js: always set `text` (string or null) on the file payload — createFile uses findOneAndUpdate with $set semantics, so omitting the field leaves a stale value behind when an artifact's content changes. - Attachment.tsx: switch the show-all toggle from char-count threshold to a useLayoutEffect ref measurement on scrollHeight, and use overflow-hidden when collapsed (overflow-auto when expanded) so the collapsed box has a single clear interaction model. - Attachment.tsx + LogContent.tsx: lift `isImageAttachment` / `isTextAttachment` into a shared attachmentTypes module. LogContent keeps its looser image check (no width/height required) because the legacy log surface receives attachments without dimensions. - Tests: cover multi-byte boundary, the always-set-text contract on updates, and the new shared predicates. * 🧪 test: Component test for TextAttachment + direct withTimeout coverage - Attachment.tsx: re-order local imports longest-to-shortest per AGENTS.md (attachmentTypes ahead of FileContainer/Image). - extract.ts: export withTimeout so it can be unit-tested directly (it's also used internally — exporting carries no runtime cost). - extract.spec.ts: three small unit tests on withTimeout that cover resolve, propagated rejection, and timeout rejection paths with real timers. - TextAttachment.test.tsx: ten cases for the new React component — text rendering in <pre>, download chip presence/absence, ref-based collapse measurement (with scrollHeight stubbed via prototype), aria-expanded toggle, fall-through to FileAttachment for missing and empty text, and AttachmentGroup routing. * 🩹 fix: Canonicalize document MIME by extension before parseDocument When the classifier puts a file on the document path via its extension (.docx, .xlsx, …) but the buffer sniffer returned a generic value like application/zip or application/octet-stream, we previously forwarded that generic MIME to parseDocument, which dispatches strictly by MIME and silently rejected it — exactly defeating the extension-first classification this PR added. extractDocument now remaps the MIME from the extension (falling back to the original sniffed MIME if the extension is unrecognized, so files that reached the document branch via MIME detection still work). Adds a parameterized test across docx/xlsx/xls/ods/odt against zip/octet sniffs to guard the regression. * 🩹 fix: Reuse existing withTimeout from utils/promise The previous commit's local withTimeout export collided with the already-exported `withTimeout` from `~/utils/promise`, breaking the @librechat/api tsc job (TS2308 ambiguous re-export). Drops the duplicate, imports from `~/utils/promise`, and removes the now-redundant unit tests (the helper has its own coverage in utils/promise.spec.ts). The third argument shifts from a label to the fully-formed timeout error message that the existing helper expects. * 🧹 chore: TextAttachment test polish (NITs) - Use the conventional `import Attachment, { AttachmentGroup }` form rather than `default as Attachment`. - Save the original `scrollHeight` property descriptor and restore it in afterAll, so the prototype patch never leaks past this suite. |
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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
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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 🗃️
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🌎 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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- 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
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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
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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 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.