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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
db675209e8
* 🧩 fix: Extend Explicit Step Status To Specialized Tool Cards Follow-up to #14871, which covered the generic tool card and the five sharing `useToolCallState` but left the cards carrying their own cancellation logic on the whole-message heuristic. Each needed its own treatment rather than a forwarded prop: - `RetrievalCall` is the exact analog of the reviewed shape. - `WebSearch` feeds `effectiveProgress` into `finalizing` and `complete` as well, so forcing it terminal naively would strand a cancelled final search as "finalizing" forever. A closed step now settles on its own status instead of waiting for the submission to end. - `OpenAIImageGen` resolves through `computeCancelled`, which now short-circuits on explicit status ahead of both the agent and legacy paths — the legacy path has no submitting signal at all, so this is the first real stop signal it has ever had. In all three the status is authoritative on its own terms: never gated on the output-parsing error check, a closed step forces progress complete so it cannot keep animating, and `failed` reports as an error even when the output text looks benign. The prior heuristic remains the fallback for messages saved before `on_run_step_closed`. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🧩 fix: Resolve Subagent Card State From Closed Step Status `SubagentCall` uses a tri-state (`running`/`cancelled`/`finished`) built from the subagent's own phase envelopes plus `!isSubmitting`, so it could not distinguish "this subagent was stopped" from "the parent stream ended for some other reason" — the distinction `on_run_step_closed` exists to make. A closed step now resolves the tri-state directly: `cancelled` maps to the cancelled state, `completed` and `failed` both count as finished, and `failed` additionally reports as an error. The phase-and-isSubmitting inference remains the fallback for messages predating the event. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🩹 fix: Give `failed` Its Own Terminal Path In Each Card Codex found the same mistake in three places: I resolved `cancelled` carefully and let `failed` fall through into a success or in-progress path. Forcing a closed step's progress to 1 made that visible rather than latent. - `OpenAIImageGen`: `hasError` did not account for the status, so a failed generation rendered and announced as a finished image. Updated to match every other card. - `WebSearch`: a failed close left `complete` false and dropped the card into the streaming branch, shimmering forever. `error` now folds into the `cancelled` early-return, which is where an errored search has always gone — rather than inventing a failure UI this component has never had. - `RetrievalCall`: the live region did not consult `errorState`, so a failed retrieval announced "retrieved files" while the card showed a failure. Announces the failure first now, mirroring the same fix made to `ToolCall` in #14871. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🧯 fix: Separate Cancelled From Failed, Stop Terminal-Step Timers Codex round 2. Two distinct classes, plus the same leak in already-merged code. Rendering — cancellation and failure were collapsed: - `OpenAIImageGen` fed `cancelled` into `ProgressText`'s `error` prop, so a user-stopped generation read "image generation failed" visually while the live region announced "cancelled". Meanwhile a `failed` close reached neither consumer, since `computeCancelled` returns false for it — adding the status to `hasError` alone changed nothing. `ProgressText` now takes `cancelled` alongside `error`, and both the card and the live region resolve the two states independently. Timers — masking a hook's output does not stop it: - `useProgress` keeps a 200ms interval alive whenever its input is below 1, and a closed step usually never receives the completion that would raise it. Every site that masked the result now passes the terminal value in instead, so a closed card schedules nothing. - The agent-style image ticker had the same problem one layer up: its interval effect ignored the close entirely and its cleanup keyed on `cancelled`, so a step closed as `failed` mid-submission kept rerendering for up to ~50s. Both effects now observe the close. - `ToolCall` and `useToolCallState` carried the identical masking from #14871; fixed here rather than left as a known leak in merged code. Also dropped a JSDoc line that narrated its own assignments. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * ✅ fix: Failure Outranks Cancellation; Update The Test That Encoded The Conflation Codex round 3, plus the CI failure it explains. - Failure now takes precedence over cancellation in both `ProgressText` and the image-gen live region. The legacy inference folds `hasError` into its cancellation signal, so checking `cancelled` first relabelled a genuine failure on an older saved message as a user stop — a regression introduced by the previous commit. - `RetrievalCall` passed `finishedText={intent ?? 'Retrieved files'}` regardless of state, so a cancelled retrieval read "Retrieved files" beside a cancellation icon while the live region announced "Cancelled". The finished label is now cancellation-aware. - `OpenAIImageGen.test.tsx` asserted `data-error === 'true'` for a heuristically cancelled step — the exact conflation this work removes. Updated to the new contract and extended with cases for explicit cancellation, explicit failure with benign output, and failure precedence under the legacy inference. Verified locally for the first time in this work stream: building the `@librechat/client` and `data-provider` workspaces made the client suite runnable here. 15/15 in the image-gen spec, 851/851 across `Content` and `hooks/SSE`. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🧹 style: Drop Narrating Comment From Cancellation Test The test name and the `data-cancelled` / `data-error` expectations state the contract on their own; the JSDoc above them only restated it. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * ⚖️ fix: Explicit Cancellation Outranks Parsed Errors; Force Progress Synchronously Codex round 5, both findings consequences of round 3's fixes. - Failure precedence was applied unconditionally, so a step explicitly closed as `cancelled` whose output happens to be error-formatted — aborting a tool can itself produce one — reported failure despite an authoritative status saying otherwise. Precedence is now scoped to the legacy inference, which is the only path that folds `hasError` into its own cancellation signal. Explicit cancellation wins. - Passing 1 into `useProgress` stops its interval but does not make the returned value 1 on that render: the hook settles through 0.99 and a 200ms timeout. For a step closing while mounted, that window rendered a failed retrieval as "Searching files" and left a completed one shimmering. Both halves are needed — pass 1 in to stop the timer, mask the result so the terminal value is observable immediately — in `RetrievalCall`, `ToolCall`, `useToolCallState` and `OpenAIImageGen`. Regression test added for the cancellation-outranks-error case. 16/16 in the image-gen spec, 851/851 across Content and hooks/SSE. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🛑 fix: Explicit Subagent Cancellation Outranks Child Error Phase Codex round 6. - `SubagentCall` checked `hasError` before cancellation, so a subagent explicitly closed as `cancelled` whose last live envelope carried the `error` phase — which aborting a child can produce — rendered "Agent errored" instead of cancelled. Scoped the same way as the image path: the live error phase is suppressed when the authoritative close says cancelled. - Removed a narrating comment in `WebSearch`; `isClosed`, `effectiveProgress`, `finalizing` and `complete` name the flow. 852/852 across Content and hooks/SSE. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🧽 style: Sweep The Narrating Failure Comments Codex flagged two; the same one-line paraphrase of `runStepStatus === 'failed'` had been copied into five files, so all five are removed rather than leaving three to surface next round. The named `hasError` / `errorState` / `error` booleans carry it. The remaining comments in these files explain non-obvious behavior rather than restating code — why `useProgress` needs both the terminal argument and the mask, why an errored web search renders as nothing, and which precedence applies to the legacy inference versus an explicit close. 852/852 across Content and hooks/SSE. Typecheck baseline is now 1 error (`useRum.ts`, unrelated) rather than 487, since building the `@librechat/client` workspace resolved the module errors that were masking it — identical with this diff and at the branch point. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 --------- Co-authored-by: Claude <noreply@anthropic.com> |
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LibreChat
English · 中文
🚀 What's New in v0.8.8-rc1
- Agent run control: Interrupt or steer an Agent mid-run, queue follow-up messages, and reclaim, edit, or escalate pending steers.
- Human-in-the-loop Agents: Agents stream question progress, ask up to four related questions in one form, pause for input or tool approval, and resume.
- Unified Agent Builder: A redesigned Tools marketplace brings together Skills, MCP, Code Interpreter, orchestration, Programmatic Tool Calling, model-spec controls, and per-tool background and intent settings.
- Readable Agent activity: Generated activity-group headers, parent phase summaries, and live tool intent labels make long reasoning and tool runs easier to scan.
- Code Interpreter workflows: Code and shell tools can run in the background, sandbox images return as viewable artifacts, and highly experimental stateful sessions can reuse prewarmed conversation workspaces.
- Agent extensibility: Experimental Agent Plugins can bundle deployment Skills, MCP servers, and opt-in command hooks, while explicit subagents initialize only when selected.
- Memory, context, and identity: Agents can manage memory with optional per-agent isolation, expose support contacts safely, and show a more faithful Context Usage gauge.
- Sharing and files: Shared conversations show a badge and update at a stable URL, while signed-in viewers can continue them as personal copies.
- Artifact workflows: Open previews fullscreen, work with PowerPoint
.potxtemplates across upload, search, and code execution, upload shell scripts across common MIME variants, export Mermaid diagrams as SVG or PNG, and download original Office files from the artifact panel. - Models and reasoning: Added GPT-5.6 with Responses API reasoning controls, Claude Opus 5 and Sonnet 5, Gemini 3.7 and 3.6 Flash, and Gemini 3.5 Flash-Lite.
- Langfuse observability: Configure encrypted Langfuse connections in-app, let authorized admins open sampled sessions directly, optionally fan out traces by tenant, and suppress central export per run.
- Administration and security: Delegate config sections, encrypt registered secrets, enforce SSRF checks for speech, OCR, and web tools, and generate unique temporary credentials when secrets are blank.
- Messages and navigation: Right-aligned user turns, unified multi-part editing, full-message copy, a dock-style message rail, virtualized search, smooth streaming, and faster Agent startup.
- Streaming and tool reliability: Adaptive provider smoothing, Redis delta batching, dynamic MCP tool refresh, parsed MCP response media types, runtime OAuth recovery, and Agent stream circuit breakers improve long-running workflows.
- Deployment and reliability: Added configurable HTTP timeouts, Amazon DocumentDB 5.0+ support, low-noise Redis and browser observability, and a rolling-upgrade-safe generation protocol.
Read the full v0.8.8-rc1 changelog.
✨ 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
- Open-Source & Self-Hostable: powered by ClickHouse/code-interpreter
-
🔦 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
- Skills: Create reusable
SKILL.mdinstruction bundles for manual, automatic, or always-on agent workflows - Agent Plugins: Experimentally bundle deployment Skills and MCP servers into startup-loaded packages
- Subagents: Delegate focused work to isolated child agent runs with their own context windows
- 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 create React, HTML, and Mermaid content directly in chat
- Open previews fullscreen and export Mermaid diagrams as SVG or PNG
-
🎨 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
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💾 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
-
🧠 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
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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
-
📥 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
-
👥 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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🎛️ Admin Panel:
- Browser-based UI to manage users, groups, roles, and configuration overrides
- Edit settings and per-role/group permissions live, without redeploying
- Bundled with the Docker Compose stacks for one-command setup
-
⚙️ Configuration & Deployment:
- Configure Proxy, Reverse Proxy, Docker, & many Deployment options
- Use S3 with CloudFront for stable media links, edge delivery, signed cookies, and secured downloads
- 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.