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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
fb8ae881cf
* ⏱️ feat: Show Run-Step Durations On Tool Cards Surfaces how long each tool call took, derived from the `closed_at` / `created_at` pair already carried by `on_run_step_closed` — the same event #14871 and #14873 use for the terminal status. No new event, no new SDK surface. The duration is stamped onto the content part at the same three sites as `runStepStatus`, so it survives a reload and a resumable reconnect rather than living only on the live React message: - `callbacks.js`, on the aggregated part before the event is forwarded - `RedisJobStore`, in the host-authored replay reconstruction branch - `useStepHandler`, on the live message Rendering lands in the shared `ProgressText`, which nine tool cards already use, rather than in each card: one place decides whether a duration is shown and how it reads, and the cards only forward the number. That keeps this from adding a tenth independent state derivation to a component family whose label/announcement/progress split is already the subject of AI-1810. The value is deliberately absent rather than zero whenever it would be a guess — no `created_at`, non-finite input, or a negative elapsed time from two clocks that disagree, which is now reachable because a step can be opened in one process and closed in another after a checkpoint resume. Sub-second durations are suppressed as noise, and it renders only on a settled, non-error card, where the slot is not already carrying the cancelled icon or the error suffix. For assistive technology the compact form (`3.5s`) is hidden and paired with a spoken equivalent ("took 3.5 seconds"), both inside the button, so the accessible name carries the duration without an `aria-live` region re-announcing it. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🎨 style: Sort Imports In Touched Files The import-sort gate runs against the files a PR changes, so pre-existing drift in `ProgressText.tsx` and `RedisJobStore.ts` surfaced on this branch. Both were already unsorted on `dev`; this is the sorter's output, with no semantic change. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🐛 fix: Accept Partial Timestamps In Run-Step Duration Helper `getReportableRunStepDurationMs` declared its parameter as `Pick<RunStepClosedEvent, 'created_at' | 'closed_at'>`, where `closed_at` is required. That contradicted the function's own purpose: every guard inside it exists precisely to handle stamps that may be missing. The Redis replay branch reconstructs closures from persisted JSON and holds nothing stronger than "might be a number", so it failed to typecheck against the narrower signature. Widened to an exported `RunStepTimestamps` shape with both stamps optional, rather than asserting at the call site — an assertion would move the decision about what is trustworthy somewhere it cannot be enforced, which is the thing the helper exists to centralize. Callers holding a fully-typed event still pass, since a required field satisfies an optional one. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🐛 fix: Suppress Duration When Failure Arrives As errorSuffix Alone At every call site `error` carries cancellation while failure travels through `errorSuffix` with `error` false, so gating the duration on `!error` alone rendered "· 3.5s" beside "· failed" — and announced it. The gate now checks both terminal-failure channels. The original test pinned only the `error: true` path, which is why this survived; the failed-via-suffix path is now pinned separately, both the visible and the announced half. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🧩 refactor: Persist Raw Run-Step Durations, Threshold At Render Only The three stamp sites filtered through the 1-second reportability threshold before persisting, baking a presentation rule into stored data: a 900ms step stored nothing, making "fast" indistinguishable from "not derivable" and unrecoverable if the display rule ever changes. Stamp sites now persist the raw `getRunStepDurationMs` value — absent only when genuinely not derivable — and the renderer alone decides what is worth showing, which `ProgressText` already did. Rendering is unchanged. `getReportableRunStepDurationMs` is removed; it existed only to serve the write-time filter, and a test now pins that sub-threshold durations survive to storage. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🐛 fix: Suppress Duration On Backgrounded Bash And Code Cards A backgrounded call's run step closes when dispatch returns the handle, so the stamped duration is the dispatch time. Rendering it beside "Running/Finished in background" misstated a detached task's runtime as seconds — and violated the "settled card only" rule, since the card is still tracking the detached run. Scope is exactly the two cards that parse background handles. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🌍 fix: Format The Sub-10s Decimal For The Active Locale The fractional seconds value was interpolated as a raw JS number, which hardcodes the en-US decimal point into every language — "1.4s" where the locale writes "1,4 s" — and translators cannot fix a number formatted in code. The value is now formatted via Intl.NumberFormat with i18n.language, following MessageTimestamp's pattern of threading the language into the util; plural-key selection stays on the numeric value. A malformed language tag falls back to the plain number. Also documents the two accepted limits of the derivation, so they read as decisions rather than oversights: positive clock skew is undetectable from a single stamp pair, and the value is wall-clock elapsed, so a step held open across a suspension (checkpoint resume, HITL approval wait) includes that time. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🐛 fix: Persist A Durable `backgrounded` Marker Through Harvest; Localize Minute Digits Codex round 3, both findings confirmed. **Background origin survived only as transient state.** The dispatch handle in `tool_call.output` and the live status-marker attachment are both gone once the harvester patches the settled task's stdout over the handle — so the round-2 suppression (`backgroundHandle == null`) came back on after harvest or reload, showing dispatch time as the task's runtime. Following the same rule as e4bd15d (persist facts, decide at render): the harvest patch now stamps `backgrounded: true` onto the tool call in the same atomic write that erases the handle — on the heal path too, which re-applies over full-row saves that reverted the part. The cards gate on handle-or-marker; the dispatch duration itself stays stored. **Minute-branch digits bypassed locale formatting.** The seconds branch went through Intl.NumberFormat while minutes interpolated raw numbers, so Arabic/Persian locales flipped to ASCII digits above one minute. All interpolated values now flow through the (renamed) formatDurationValue; an ar-EG test pins the localized digits. data-schemas cannot be installed in this environment (same npm ci 403 as packages/api), so message.ts/harvest.ts are syntax-checked with resolution off and otherwise verified by review; CI runs their real typecheck and suites. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🧪 test: Assert The `markBackgrounded` Stamp In Harvest Expectations The successful-harvest test's exact `toHaveBeenCalledWith` object did not include the newly forwarded `markBackgrounded`, so the API suite would fail on it. All three harvest-call expectations now assert `markBackgrounded: true` — the exact-object one of necessity, the two `objectContaining` ones deliberately, since the durable stamp (on the best-effort file-failure path and the reapply heal alike) is now part of the behavior under test. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014vLhxCFMYkCaTsoFTiAjJ5 * 🎨 style: Wrap Harvest Spec Expectation Per Prettier 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
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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
-
🗣️ 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.