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
9a64791e3e
* fix: strip protocol from domain before encoding in `domainParser`
All https:// (and http://) domains produced the same 10-char base64
prefix due to ENCODED_DOMAIN_LENGTH truncation, causing tool name
collisions for agents with multiple actions.
Strip the protocol before encoding so the base64 key is derived from
the hostname. Add `legacyDomainEncode` to preserve the old encoding
logic for backward-compatible matching of existing stored actions.
* fix: backward-compatible tool matching in ToolService
Update `getActionToolDefinitions` to match stored tools against both
new and legacy domain encodings. Update `loadActionToolsForExecution`
to resolve model-called tool names via a `normalizedToDomain` map
that includes both encoding variants, with legacy fallback for
request builder lookup.
* fix: action route save/delete domain encoding issues
Save routes now remove old tools matching either new or legacy domain
encoding, preventing stale entries when an action's encoding changes
on update.
Delete routes no longer re-encode the already-encoded domain extracted
from the stored actions array, which was producing incorrect keys and
leaving orphaned tools.
* test: comprehensive coverage for action domain encoding
Rewrite ActionService tests to cover real matching patterns used by
ToolService and action routes. Tests verify encode/decode round-trips,
protocol stripping, backward-compatible tool name matching at both
definition and execution phases, save-route cleanup of old/new
encodings, delete-route domain extraction, and the collision fix for
multi-action agents.
* fix: add legacy domain compat to all execution paths, make legacyDomainEncode sync
CRITICAL: processRequiredActions (assistants path) was not updated with
legacy domain matching — existing assistants with https:// domain actions
would silently fail post-deployment because domainMap only had new encoding.
MAJOR: loadAgentTools definitionsOnly=false path had the same issue.
Both now use a normalizedToDomain map with legacy+new entries and extract
function names via the matched key (not the canonical domain).
Also: make legacyDomainEncode synchronous (no async operations), store
legacyNormalized in processedActionSets to eliminate recomputation in
the per-tool fallback, and hoist domainSeparatorRegex to module level.
* refactor: clarify domain variable naming and tool-filter helpers in action routes
Rename shadowed 'domain' to 'encodedDomain' to separate raw URL from
encoded key in both agent and assistant save routes.
Rename shouldRemoveTool to shouldRemoveAgentTool / shouldRemoveAssistantTool
to make the distinct data-shape guards explicit.
Remove await on now-synchronous legacyDomainEncode.
* test: expand coverage for all review findings
- Add validateAndUpdateTool tests (protocol-stripping match logic)
- Restore unicode domain encode/decode/round-trip tests
- Add processRequiredActions matching pattern tests (assistants path)
- Add legacy guard skip test for short bare hostnames
- Add pre-normalized Set test for definition-phase optimization
- Fix corrupt-cache test to assert typeof instead of toBeDefined
- Verify legacyDomainEncode is synchronous (not a Promise)
- Remove all await on legacyDomainEncode (now sync)
58 tests, up from 44.
* fix: address follow-up review findings A-E
A: Fix stale JSDoc @returns {Promise<string>} on now-synchronous
legacyDomainEncode — changed to @returns {string}.
B: Rename normalizedToDomain to domainLookupMap in processRequiredActions
and loadAgentTools where keys are raw encoded domains (not normalized),
avoiding confusion with loadActionToolsForExecution where keys ARE
normalized.
C: Pre-normalize actionToolNames into a Set<string> in
getActionToolDefinitions, replacing O(signatures × tools) per-check
.some() + .replace() with O(1) Set.has() lookups.
D: Remove stripProtocol from ActionService exports — it is a one-line
internal helper. Spec tests for it removed; behavior is fully covered
by domainParser protocol-stripping tests.
E: Fix pre-existing bug where processRequiredActions re-loaded action
sets on every missing-tool iteration. The guard !actionSets.length
always re-triggered because actionSets was reassigned to a plain
object (whose .length is undefined). Replaced with a null-check
on a dedicated actionSetsData variable.
* fix: strip path and query from domain URLs in stripProtocol
URLs like 'https://api.example.com/v1/endpoint?foo=bar' previously
retained the path after protocol stripping, contaminating the encoded
domain key. Now strips everything after the first '/' following the
host, using string indexing instead of URL parsing to avoid punycode
normalization of unicode hostnames.
Closes Copilot review comments 1, 2, and 5.
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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, 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.