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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
c2aa688d73
* 🖥️ feat: Stream PTC Inner Tool Calls as a CLI-Style Trace Programmatic tool calling runs a whole program inside the sandbox, and the tool calls that program makes open no run step of their own. The card showed one running spinner for the entire execution, with no sign of what the code was doing. Emit a new `on_ptc_tool_call` step event for each inner invocation — once on dispatch, once on settle — and render them under the code as a terminal-style trace: status glyph, tool identity, argument preview, duration, with a failure message printed under the call that produced it. The seam is the tool map the sandbox bridge resolves inner calls against. `instrumentPtcToolMap` proxies `invoke` on each entry and leaves every other property (name, schema, mcp) passing straight through, so nothing about execution changes and emission failures can never fail a tool call. Client state is a per-tool-call Recoil atom keyed like the sandbox-starting and subagent atoms — live for the session, cleared on conversation switch so a finished program's trace stays readable. * 🩹 fix: Address Codex Review on the PTC Tool Trace Five findings, all confirmed against the source before fixing. Scope the trace atoms to a message occurrence. The hook already documents that providers repeat a tool_call_id across turns and even within one message, and `call_id` restarts at :0 for every outer call — so two programs sharing `call_0` merged into one card. Key by (response message id, tool call id) via `ptcTraceKey`, mirroring `subagentProgressKey`; the event's `runId` already carries the message id and the card reads its own from MessageContext. Prune unsettled rows on resume. Inner calls are not content parts, so the resume snapshot cannot rebuild them, and `trackReplayEvent` only persists OAuth events — a call that settled during a disconnect left a spinner that never resolved. Settled rows are real history and stay. Make the argument preview budget-aware. Iterate keys rather than entries so the budget check can actually skip work, and clip against a bounded window so a multi-megabyte value is never collapsed in full to build a 40-character preview. Catch the resumable emission promise. The synchronous try/catch around the emitter cannot observe a rejected `emitChunk`, so a failing transport raised an unhandled rejection per event instead of dropping telemetry. Announce completion to assistive technology. The check glyph is decorative and a fast call renders no duration, so a settled row previously announced no outcome; each row now carries an sr-only status and the visible cell that duplicated it is hidden. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MBRQUsPXSvDBnjrSDoXWHP * 🧹 fix: Repair CI Failures on the PTC Tool Trace Two failures on the previous head, both mine. `Tests: api (shard 2/3)` — 46 failures in `initialize.spec.js`, all `TypeError: createPtcProgressEmitter is not a function`. The suite mocks the callbacks module with an object literal, and wiring the new emitter into `initialize.js` without adding it there left the factory undefined at call time. Added it alongside `createAttachmentEmitter`, plus an assertion that it receives the same generation fence as every other resumable emitter — a stale epoch would leak one run's inner calls into the next. `Static checks` — import-order drift in `PtcToolTrace.tsx` and `handlers.ts`, repaired with `scripts/sort-imports.mts`. ESLint and Prettier both passed, so only the dedicated check caught it. `openai.js` and `responses.js` never take the emitter, so their specs were unaffected; verified the initialize mock now covers every name the module destructures. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MBRQUsPXSvDBnjrSDoXWHP * 🔐 fix: Address Second Codex Review on the PTC Tool Trace Three of five findings actioned; two answered on the thread. Respect tool-argument PII filtering (P1). Inner calls never reach `filteredToolArgumentsResult` — the sandbox bridge invokes them directly — so the trace was the one path putting their values on the wire in a deployment that had configured `filters.toolArguments.pii`. When any of the name / arguments / output fields are filtered, the emitter now omits both the argument preview and the failure message, which routinely quotes the argument that caused it. Name, status and duration still report. Drop the light/dark-specific background (P1). `dark:bg-transparent` stepped outside the semantic roles and would lose the intended separation under a custom theme. The pane now sets no background at all and inherits the card's surface, which resolves to the same color the override produced in both default themes and stays correct when a theme reassigns its roles. Bound the live trace (P2). A program looping over a large collection made every event copy an ever-growing array and rendered a row per call. The trace now keeps a rolling tail of 100 rows and counts what it evicted, surfaced as "+N earlier calls" so the cap is never silent. A settle whose row is gone — evicted, or pruned across a resume gap — no longer reappears out of order. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MBRQUsPXSvDBnjrSDoXWHP * ✅ test: Keep PTC Trace Tests Aligned With Caller-Capability Filtering Left out of the merge commit by a staging slip; without them `handlers.spec.ts` fails on the merged tree. `#15105` restricts the PTC tool map to tools whose `allowed_callers` admit code execution, so the existing trace test's registry entry — which declared none, defaulting to `direct` — was filtered out before the instrumentation could see it. Declare the fixture `code_execution`. Add a guard for the resolution itself: a `direct`-only tool must never appear in the instrumented map. Tracing wraps the eligible map, and this fails if a later change reorders that and lets the trace widen what the sandbox reaches. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MBRQUsPXSvDBnjrSDoXWHP * 🛡️ fix: Close Name Disclosure and Follow the PTC Trace Tail Two findings from the third Codex pass on ` |
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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
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🤖 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
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🔦 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 🗃️
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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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🎛️ 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
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⚙️ 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.