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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
93c4ef4ba8
* 🧱 refactor: typed CodeEnvRef + kind discriminator + tenant-aware sandbox cache Final cutover for the LibreChat ↔ codeapi sandbox file identity. Replaces the magic string `${session_id}/${file_id}?entity_id=...` with a typed, discriminated `CodeEnvRef`. Pre-release lockstep deploy with codeapi #1455 and agents #148; no legacy aliases retained. ## Final shape ```ts type CodeEnvRef = | { kind: 'skill'; id: string; storage_session_id: string; file_id: string; version: number } | { kind: 'agent'; id: string; storage_session_id: string; file_id: string } | { kind: 'user'; id: string; storage_session_id: string; file_id: string }; ``` `kind` drives codeapi's sessionKey: `<tenant>:<kind>:<id>[✌️<version>]` for shared kinds, `<tenant>:user:<userId>` for user-private (auth context provides `userId`). `version` is statically required for `kind: 'skill'` and forbidden otherwise via discriminated union — constraint holds at compile time on every consumer, not just codeapi's runtime validator. `id` is sessionKey-meaningful for `'skill'` / `'agent'`; informational only for `'user'` (codeapi resolves user identity from auth context). ## What changed - `packages/data-provider/src/codeEnvRef.ts` — discriminated union + `CODE_ENV_KINDS` const-tuple keeps the runtime list and TS union locked together. - Schemas: `metadata.codeEnvRef` and `SkillFile.codeEnvRef` enums tightened to `['skill', 'agent', 'user']`. - `primeSkillFiles` writes `kind: 'skill'`, `id: skill._id`, `version: skill.version`. Cache-hit path reads `codeEnvRef` directly. Bumping `skill.version` on edit naturally invalidates the prior cache entry under the new sessionKey. - `processCodeOutput` writes `kind: 'user'`, `id: req.user.id`. Output bucket is always user-scoped, regardless of which skill the execution invoked. New regression test pins the asymmetry. - `primeFiles` reupload preserves `kind`/`id`/`version?` from the existing ref so a skill-cache-miss reupload doesn't silently demote to user bucket. - `crud.js` upload functions (`uploadCodeEnvFile` / `batchUploadCodeEnvFiles`) thread `kind`/`id`/`version?` to the multipart form (codeapi #1455 option α). Without these on the wire, codeapi falls back to user bucketing and skill-cache invalidation never fires. Client-side validation mirrors codeapi's validator. - `Files/process.js` — chat attachments use `kind: 'user'`; agent setup files use `kind: 'agent'`. - Drops `entity_id` everywhere (struct, schema sub-docs, write paths, upload form fields). Drops `'system'` from the kind enum (no emitter ever existed). ## Test plan - [x] `cd packages/data-provider && npx jest src/codeEnvRef.spec` — 4 / 4 - [x] `cd packages/data-schemas && npx jest` — 1447 / 1447 - [x] `cd packages/api && npx jest src/agents` — 81 / 81 in skillFiles + handlers + resources - [x] `cd api && npx jest server/services/Files server/controllers/agents` — 436 / 436 - [x] `cd api && npx jest server/services/Files/Code` — 98 / 98 (incl. new "outputs are user-scoped regardless of which skill the execution invoked" regression and "reupload forwards kind/id/version from existing ref") - [x] `npx tsc --noEmit -p packages/data-{provider,schemas}/tsconfig.json && npx tsc --noEmit -p packages/api/tsconfig.json` — clean (only pre-existing unrelated dev errors in storage/balance, untouched here) ## Deploy notes - **24h cache-miss burst** on first deploy. Inputs (skill caches re-prime under new sessionKey shape) and outputs (any pre-Phase C skill-output cached files become unreadable). Bounded by codeapi's 24h TTL. - **Lockstep with codeapi #1455 and agents #148.** Either repo can land first since no aliases to drain, but the three deploys must overlap within the same maintenance window. - **`@librechat/agents` bump to `3.1.79-dev.0`** required after agents #148 lands and is published. ## What this enables Auth bridge work (JWT-based tenant/user identity between LC and codeapi) — codeapi now derives sessionKey purely from `req.codeApiAuthContext.{ tenantId, userId}`, so the next chapter is replacing the header-asserted user identity with a verified-claim path. * 🩹 fix: persist execute_code uploads under codeEnvRef metadata key Codex review P1 (chatgpt-codex-connector). `Files/process.js` was storing the upload result under `metadata.fileIdentifier` even though: - `uploadCodeEnvFile` now returns `{ storage_session_id, file_id }`, not the legacy magic string. - The post-cutover schema (`File.metadata.codeEnvRef`) only declares `codeEnvRef` — mongoose strict mode silently strips unknown keys. - All readers (`primeFiles`, `getCodeFilesByIds`, `categorizeFileForToolResources`, controller filtering) check `metadata.codeEnvRef`. Net effect of the bug: chat-attached and agent-setup execute_code files would lose their sandbox reference on save, and primeFiles would skip them on subsequent code-execution turns — the file blob would still be available locally but never re-mounted in the sandbox. Fix: construct the full `CodeEnvRef` (`{ kind, id, storage_session_id, file_id }`) at the write site and persist under `metadata.codeEnvRef`. `BaseClient`'s "is this a code-env file" presence check accepts the new shape alongside the legacy `fileIdentifier` for back-compat with any pre-cutover records still in the database. Mirrors the same change in `processAttachments.spec.ts` (which re-implements the BaseClient logic for testability). New regression tests in `process.spec.js` cover three cases: - chat attachments (`messageAttachment=true`) → `kind: 'user'` - agent setup (`messageAttachment=false`) → `kind: 'agent'` - legacy `fileIdentifier` key is NOT persisted (would be schema-stripped) * 🩹 fix: read storage_session_id on primed file refs (Codex P1) Codex review (chatgpt-codex-connector). After Phase B's per-file `session_id` → `storage_session_id` rename, `primeFiles` emits the new field — but `seedCodeFilesIntoSessions` was still reading `files[0].session_id` for the representative session and `f.session_id` for the dedupe key. In runs with only primed attachments (no skill seed), `representativeSessionId` was `undefined`, the function returned the unchanged map, and `seedCodeFilesIntoSessions` silently dropped the entire batch. The first `execute_code` call then started without `_injected_files` and the agent couldn't see prior-turn artifacts. Fix: - `codeFilesSession.ts`: read `f.storage_session_id` for both the dedupe key and the representative session id. JSDoc updated to match the new field name. - `callbacks.js`: the two output-file persistence paths read `file.session_id` to pass to `processCodeOutput` — switch to `file.storage_session_id`. The original comment explicitly says this should be the STORAGE session, which is exactly the field Phase B renamed. - `codeFilesSession.spec.ts`: fixture builder uses `storage_session_id` and `kind: 'user'` to match the post-cutover `CodeEnvFile` shape. Lockstep coordination: this matches the post-bump shape of `@librechat/agents` 3.1.79+. CI tsc errors against the currently-pinned 3.1.78 are expected and resolve when the dep bumps in this PR before merge. * 📦 chore: Bump `@librechat/agents` to version 3.1.80-dev.0 in package-lock and package.json files * 🪪 fix: thread kind/id/version through codeapi /download URLs (Phase C α) Symmetric fix for the upload-side wire change in 537725a. Codeapi's `sessionAuth` middleware now requires `kind`/`id`/`version?` on every download/freshness URL — without them it 400s with "kind must be one of: skill, agent, user" before serving the file. Three sites construct codeapi-side URLs that go through `sessionAuth`: - `processCodeOutput` (`Files/Code/process.js`): `/download/<sess>/<id>` for freshly-generated sandbox outputs. Always `kind: 'user'` + `id: req.user.id` — code-output files are always user-private, regardless of which skill the run invoked. - `getSessionInfo` (`Files/Code/process.js`): `/sessions/<sess>/objects/<id>` for the 23h freshness check. Pulls kind/id/version straight off the `codeEnvRef` already in scope — skill files stay skill-bucketed, user files stay user-bucketed. - `/code/download/:session_id/:fileId` LC route (`routes/files/files.js`): proxies to codeapi for manual downloads. Code-output files only on this route, so `kind: 'user'` + `id: req.user.id`. The `getCodeOutputDownloadStream` helper in `crud.js` now takes an `identity` param, validated by a `buildCodeEnvDownloadQuery` helper that mirrors `appendCodeEnvFileIdentity`'s shape rules: kind required from the closed `{skill, agent, user}` set, version required for 'skill' and forbidden otherwise. Bad callers fail fast on the client instead of round-tripping a 400. Also cleans up two log-noise sources reported alongside the 400: - `logAxiosError` in `packages/api/src/utils/axios.ts` was dumping `error.response.data` raw. With `responseType: 'arraybuffer'` that's a `Buffer` (~4 chars per byte after JSON-serialization); with `responseType: 'stream'` it's a `Readable` whose internal state serializes the entire ring buffer + socket. New `renderResponseData` decodes small buffers as UTF-8 (truncated past 2KB) and stubs streams as `'[stream]'`. Diagnostics stay useful, log lines stop being megabytes. - `/code/download` route's catch was bare `logger.error('...', error)`, bypassing the redactor. Switched to `logAxiosError` so it benefits from the same buffer/stream handling. Tests updated to match the new contract: - crud.spec: `getCodeOutputDownloadStream` fixtures pass `userIdentity`; new cases cover skill identity (with version), bad kind rejection, skill-without-version rejection. - process.spec: `getSessionInfo` test passes a full `codeEnvRef` object. * ♻️ refactor: extract codeEnv identity helpers into packages/api Per the project convention that new backend code lives in TypeScript under `packages/api`, moves `appendCodeEnvFileIdentity` and `buildCodeEnvDownloadQuery` from `api/server/services/Files/Code/crud.js` into a new `packages/api/src/files/code/identity.ts` module. Both helpers are pure validators that mirror codeapi's `parseUploadSessionKeyInput` server-side rules (closed kind set, `version` required for `'skill'` and forbidden otherwise) — they deserve TS support and a dedicated spec rather than living as JSDoc-typed helpers in the legacy `/api` workspace. The new module: - Exports a `CodeEnvIdentity` interface using the `librechat-data-provider` `CodeEnvKind` discriminated union. - Adds 13 unit tests in `identity.spec.ts` covering the validation matrix (skill+version, agent, user, and every rejection path) plus URL encoding for the download query. - Re-exported from `packages/api/src/files/code/index.ts` alongside `classify`, `extract`, and `form`. Consumer updates: - `api/server/services/Files/Code/crud.js`: drops the local helpers and imports them from `@librechat/api`. Net -64 lines. - `api/server/services/Files/Code/process.js`: same. - Test mocks for `@librechat/api` in three spec files now stub the helpers' validation behavior locally rather than pulling them through `requireActual` (which would drag in provider-config init-time side effects). The package's `exports` field only surfaces the root barrel, so leaf imports aren't reachable from legacy `/api` test setup. No runtime behavior change. Identity validation rules and emitted form/query shapes are byte-for-byte identical pre/post. * 🪪 fix: emit resource_id alongside id on _injected_files (skill 403 fix) Companion to codeapi #1455 fix and agents 3.1.80-dev.1 — the wire shape for shared-kind files now requires `resource_id` distinct from the storage `id`. Without this LC change, codeapi's sessionKey re-derivation on every shared-kind /exec rejects with 403 session_key_mismatch: cached: legacy:skill:69dcf561...✌️59 (signed at upload, skill _id) derived: legacy:skill:ysPwEURuPk-...✌️59 (storage nanoid) Emit sites updated: - `primeInvokedSkills` cache-hit path: `resource_id: ref.id` (the persisted skill `_id` from `codeEnvRef.id`); `id: ref.file_id` unchanged (storage uuid). - `primeInvokedSkills` fresh-upload path: `resource_id: skill._id.toString()` on every primed file (the `allPrimedFiles` builder type now carries the field). - `processCodeOutput`'s `pushFile` (Code/process.js): `resource_id: ref.id` — for `kind: 'user'` this is informational (codeapi derives sessionKey from auth context) but emitted for shape uniformity with shared kinds. Bumps `@librechat/agents` to `^3.1.80-dev.1` (the version that ships the matching `CodeEnvFile.resource_id` field). ## Test plan - [x] `cd packages/api && npx jest src/agents` — 67 / 67 pass (skillFiles fixtures updated to assert `resource_id` on the emitted CodeSessionContext.files). - [x] `cd api && npx jest server/services/Files server/controllers/agents` — 445 / 445 pass (process.spec fixtures updated for the reupload + cache-hit emission). - [x] `npx tsc --noEmit -p packages/api/tsconfig.json` — clean. * fix(skill-tool-call): carry resource_id through primeSkillFiles → artifact Codeapi was 400ing every /exec following a `handle_skill` tool call with `resource_id is invalid` (`type: 'undefined'`). Both code paths in `primeSkillFiles` (cache-hit + fresh-upload) returned files without `resource_id`/`kind`/`version`, and the artifact in `handlers.ts` forwarded the stripped shape into `tc.codeSessionContext.files` → `_injected_files`. `primeInvokedSkills` (the NL-detected loader) had already been fixed end-to-end; this commit aligns the tool-invoked path with the same contract: `resource_id` = `skill._id.toString()`, `kind: 'skill'`, `version` = the skill's monotonic counter. Tests added to `skillFiles.spec.ts` lock the contract on `primeSkillFiles` directly so future refactors can't silently drop the resource identity again. * fix(handlers.spec): align session_id → storage_session_id rename + kind discriminator Pre-existing TS errors against the post-rename `CodeEnvFile` shape: the test file still used `session_id` on per-file objects (renamed to `storage_session_id` in agents Phase B/C) and was missing the `kind` discriminator the discriminated union requires. Both inputs and the matching `expect.toEqual(...)` mirrors updated together so the runtime equality check still holds. Lines 723-732 stay as-is — they sit behind `as unknown as ToolCallRequest` and TS already skipped them. * chore: fix `@librechat/agents`, correct version to 3.1.80-dev.0 in package.json files * chore: bump `@librechat/agents` to version 3.1.80-dev.1 in package.json and package-lock.json * chore: bump `@librechat/agents` to version 3.1.80-dev.2 * feat(observability): trace file priming chain from primeCodeFiles to _injected_files Diagnosing the user-upload "files=[] on first /exec" bug requires seeing where in the LC chain a file ref disappears. Prior to this patch the chain (primeCodeFiles → primedCodeFiles → initialSessions → CodeSessionContext → _injected_files) was opaque end-to-end: - primeCodeFiles silently dropped files without `metadata.codeEnvRef` - reuploadFile catches all errors and continues with no signal - the handlers.ts handoff to codeapi never logged what it was sending After this patch, a single grep on `[primeCodeFiles]` plus `[code-env:inject]` shows the full per-file path: [primeCodeFiles] in: file_ids=N resourceFiles=M [primeCodeFiles] file=<id> path=skip reason=no-codeenvref filename=... [primeCodeFiles] file=<id> path=cache-hit-by-session storage_session_id=... [primeCodeFiles] file=<id> path=reupload reason=no-uploadtime ... [primeCodeFiles] file=<id> path=reupload reason=stale ... [primeCodeFiles] file=<id> path=reupload-success oldSession=... newSession=... newFileId=... [primeCodeFiles] file=<id> path=reupload-failed session=... [primeCodeFiles] file=<id> path=fresh-active storage_session_id=... [primeCodeFiles] out: returned=N skippedNoRef=M reuploadFailures=K [code-env:inject] tool=<name> files=N missingResourceId=K (debug) [code-env:inject] M/N files missing resource_id ... (warn) [code-env:inject] tool=<name> _injected_files=0 ... (warn) The boundary log warns when LC sends zero injected files on a code-execution tool call — that's the user's actual symptom showing up at the LC side instead of having to correlate against codeapi's `Request received { files: [] }`. Tag chosen as `[code-env:inject]` rather than `[handoff:exec]` to avoid collision with the app-level "handoff" semantic (subagent handoff workflow). Structural cleanup in primeFiles: replaced the `if (ref) { ... }` nesting with an early `if (!ref) continue` so the per-path instrumentation hooks land at top-level scope instead of indented inside a conditional. Behavior unchanged; pushFile / reuploadFile identical. Spec fixtures (handlers.spec.ts, codeFilesSession.spec.ts) updated to include `resource_id` on `CodeEnvFile` literals — required by the post-3.1.80-dev.2 type now installed. ## Test plan - [x] `cd packages/api && npx jest src/agents/handlers.spec.ts src/agents/codeFilesSession.spec.ts src/agents/skillFiles.spec.ts` — 69/69 pass - [x] `cd api && npx jest server/services/Files/Code/process.spec.js` — 84/84 pass - [x] `npx tsc --noEmit -p packages/api` — clean - [x] `npx eslint` on all four touched files — clean * chore: add CONSOLE_JSON_STRING_LENGTH to .env.example for JSON log string length configuration * fix(files): align codeapi upload filename with LC's sanitized DB filename User-attached files for code execution were uploading to codeapi under `file.originalname` (raw upload filename, may contain spaces / special chars) while LC's DB record stored the sanitized form (`sanitizeFilename(file.originalname)`, underscores). Codeapi preserves whatever filename the upload sent, so the sandbox saw `/mnt/data/<originalname>` while LC's `primeFiles` toolContext text + `_injected_files.name` referenced `file.filename` (sanitized). Visible failure: agent gets system prompt saying /mnt/data/librechat_code_api_-_active_customer_-_2025-11-05.xlsx …tries that path, hits `FileNotFoundError`, then notices the sandbox's actual `Available files` line says /mnt/data/librechat code api - active customer - 2025-11-05.xlsx …retries with spaces, succeeds. Wastes a tool call per upload and leaks raw filenames into model context. Fix: sanitize once and use the sanitized form in both the codeapi upload AND the LC DB record. Sandbox path = LC toolContext text = in-memory ref name. No drift. Reupload path (`Code/process.js` line 867 `filename: file.filename`) already uses the sanitized DB name, so it stays consistent with the fresh-upload path after this change. ## Test plan - [x] `cd api && npx jest server/services/Files/process` — 32/32 pass - [x] `npx eslint` on the touched file — clean * chore: bump `@librechat/agents` to version 3.1.80-dev.3 in package.json and package-lock.json |
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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
-
- 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.