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/
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Danny Avila 728fc1276e
🔒 fix: Bound /files/usage TTL Hold Instead of Clearing It (#14470)
* 🔒 fix: Bound `/files/usage` TTL Hold Instead of Clearing It

`POST /files/usage` marks queued attachments so the 1-hour upload-window
TTL cannot reap them before the client queue drains. It did this by
calling `updateFilesUsage`, which unsets `expiresAt` outright, turning
every touched upload into a permanently retained file.

The client queue is ephemeral browser state, so this also leaks in normal
use: a closed tab or cleared queue leaves nothing referencing the files,
but their TTL is already gone. The same mechanism let an authenticated
user pin arbitrary owned uploads indefinitely, and the route was excluded
from the file limiters, so the touch was entirely unmetered.

Make the operation match its intent, a renewable hold rather than a
release:

- Add `extendFilesTTL`, which pushes `expiresAt` forward by a bounded
  window in a single owner-scoped `updateMany`. Two filter guards keep it
  safe under client-supplied ids: `$exists: true` so an already-released
  file never has a TTL re-added (that would schedule a live file for
  deletion), and `$lt` so a hold only ever moves the deadline later.
  The owner scope is a required argument, so an unscoped call is a no-op
  rather than a cross-user update.
- `handleFilesUsageRequest` now holds for 24h instead of clearing, and no
  longer increments `usage`, since a queue touch is not a send. The real
  release still happens at drain, where `updateFilesUsage` marks the
  files used against an actual message.
- Give `/usage` its own per-user limiter. Keeping it off the upload quota
  was intentional, leaving it unmetered was not.

Abandoned queues are now reaped on schedule, and a replayed touch can only
ever re-assert the same bounded window.

* 🔒 fix: Anchor the `/files/usage` hold to upload time

Codex review on b687922.

The hold derived each new deadline from `Date.now()`, so a caller touching
once a day advanced it by another 24h every time, far below the rate limit.
That left indefinite preservation reachable and made the PR's replay claim
wrong: the window was bounded per call but not in aggregate.

Anchor the deadline to the file's immutable `createdAt` instead of the
request clock. `extendFilesTTL` now takes a lifetime and sets
`expiresAt = max(expiresAt, createdAt + holdMs)` in an aggregation
pipeline, so the target is a fixed point per file and replay is inert
rather than merely bounded. `$max` keeps the widen-only property and the
`expiresAt: {$exists: true}` filter still refuses to resurrect a released
TTL; `createdAt: {$exists: true}` fail-closes when the anchor is absent.

The update runs with `timestamps: false`: a hold is TTL bookkeeping, not a
content write, and bumping `updatedAt` also made every re-touch count as a
modification, hiding whether the deadline actually moved.

Also drop four `.node_modules-*` symlinks that `git add -A` swept in from
an npm install. They pointed at absolute paths on one machine, so every
other checkout got dangling entries. Added the pattern to .gitignore so a
workspace install cannot reintroduce them.

* 🔒 fix: Track the configured approval window in the `/files/usage` hold

Codex review on 9277620.

`endpoints.agents.checkpointer.ttl` is a positive int with no upper bound,
and its docs invite raising it for longer review windows. It drives the
pending-action expiry, so a run can legitimately stay paused past 24h. The
fixed 24h lifetime would then let Mongo reap an attachment while its
approval was still live, and the later queue drain would send a file that
no longer exists.

Replace the fixed constant with `resolveFilesUsageHoldMs`, which adds the
configured approval window to a 24h baseline covering upload, enqueue, and
the run reaching its pause. The route reads the window from the same
`getApprovalTtlMs(checkpointerCfg)` the pending action uses, so the two
stay in lockstep.

The replay bound is unaffected: the window is a per-deployment constant and
the deadline is still `createdAt + holdMs`, so a replayed touch re-asserts
the same instant and `$max` skips the write. Only an operator config change
moves it, never a client.

* 🔒 fix: Renew the `/files/usage` hold across queued runs, under a ceiling

Codex review on 2bd3c52.

The drain sends one queued item per run completion, and each item starts a
run that may itself pause for the full approval window. Since the hold was
taken once at enqueue and pinned to the upload time, an item several places
back could sit through multiple approval windows and lose its attachment
while its chip and the live approval were still there. Another regression
from this PR: the old `$unset` made retention permanent, so deep queues
happened to work.

The queue is unbounded, so no fixed lifetime covers it. Split the hold into
a renewable window and a ceiling:

  expiresAt = max(expiresAt, min(now + renewMs, createdAt + maxLifetimeMs))

`renewMs` covers one run's wait and is granted from now, so a queue that is
still draining re-asserts it at each transition; `useQueueDrain` now marks
the remaining items' files whenever it pops one. `maxLifetimeMs` is
measured from the immutable upload time and clamps every renewal, so
repeated touches converge on a ceiling instead of advancing per call, which
keeps the replay bound from the previous round intact.

This also tightens abandonment: a queue nobody drains now lapses one
`renewMs` after its last touch instead of surviving to the ceiling.

`useQueueDrain`'s spec gained a QueryClientProvider, since the renewal goes
through react-query.

* 🔒 fix: Renew queued holds on a heartbeat, and stop dropping batches

Codex review on f616bed.

Three gaps in the renewal added last commit:

- `collectQueuedFileIds` returned early at the server's 10-id cap, so a
  remainder holding more than one batch renewed only its first message and
  left the rest on their enqueue-time hold. Collect everything and split
  into capped requests instead of truncating.
- A refused `ask()` restores the popped item, but renewal ran before the
  send and covered only the pre-existing remainder. Since the run-end signal
  is already consumed, nothing would touch that item again. Renewal now runs
  after `ask` and includes the restored item.
- A single run can interrupt for approval more than once, each pause running
  to the configured window, so renewing only at drain transitions leaves a
  gap longer than `renewMs` with no renewal in it. The ceiling cannot help
  when nothing renews.

The third is the same structural gap as the previous round along a new axis:
renewal tied to discrete events loses the file whenever two events are
further apart than the hold. Rather than hook each transition, renew on a
30 minute heartbeat while anything is queued, which is far below the
smallest hold (24h) and so covers any single gap regardless of cause.

Still bounded: every renewal is clamped against the file's upload time, so
the ceiling is unchanged. A queue nobody has open emits no heartbeat and
lapses one `renewMs` after its last touch, preserving the abandonment
behaviour.

* 🔒 fix: Cover the pre-migration queue, first tick, and `/usage/`

Codex review on 892a27d.

- The heartbeat watched only the active conversation id, but `drainNext`
  merges in the `NEW_CONVO` queue, which outlives the URL update: items
  queued during the first turn stay keyed there until that run ends. It now
  renews the union of both, deduped since they are the same atom before
  migration.
- The interval installed without firing, so returning to a conversation
  whose hold was nearly up waited out a full period before the first
  renewal. It now renews immediately, then on each tick.
- Express's non-strict routing sends `POST /files/usage/` to the same
  handler with `req.path === '/usage/'`, so the exact comparison pushed it
  onto both upload limiters. A trailing-slash client would have spent its
  upload quota, and collected file-upload violations, on metadata
  heartbeats. Matching now tolerates the trailing slash.

Firing on effect start also made the drain-time renewal redundant: popping
an item changes the held set, so the renewal effect re-runs on its own. The
one case it cannot see is a refused send, where restoring the item leaves
the set identical, so that branch keeps an explicit renewal and the rest is
removed. Net one request per transition instead of two.
2026-07-28 07:37:26 -04:00
.devcontainer
.do/gitnexus
.github
.husky
.vscode
api 🔒 fix: Bound /files/usage TTL Hold Instead of Clearing It (#14470) 2026-07-28 07:37:26 -04:00
client 🔒 fix: Bound /files/usage TTL Hold Instead of Clearing It (#14470) 2026-07-28 07:37:26 -04:00
config 📧 fix: Restore invite-user CLI (#14436) 2026-07-26 23:35:50 -04:00
e2e 🧭 test: Cover Agent Handoffs End to End (#14428) 2026-07-27 08:47:15 -04:00
helm
otel/langfuse-fanout
packages 🔒 fix: Bound /files/usage TTL Hold Instead of Clearing It (#14470) 2026-07-28 07:37:26 -04:00
redis-config
scripts
skill
src/tests
utils
.dockerignore
.env.example
.gitattributes 🎛️ feat: DB-Backed Per-Principal Config System (#12354) 2026-03-25 19:39:29 -04:00
.gitignore 🔒 fix: Bound /files/usage TTL Hold Instead of Clearing It (#14470) 2026-07-28 07:37:26 -04:00
.nvmrc
.prettierrc
AGENTS.md
bun.lock
CLAUDE.md
deploy-compose.langfuse-fanout.yml 🪭 feat: support per-run central langfuse export suppression (#14207) 2026-07-12 08:03:27 -04:00
deploy-compose.yml 🧂 chore: Require an Operator-Supplied Admin Panel Session Secret (#13902) 2026-06-23 08:43:54 -04:00
docker-compose.langfuse-fanout.yml 🪭 feat: support per-run central langfuse export suppression (#14207) 2026-07-12 08:03:27 -04:00
docker-compose.override.yml.example
docker-compose.yml
Dockerfile
Dockerfile.multi
eslint.config.mjs
librechat.example.yaml
LICENSE
package-lock.json 🗺️ chore: Bump PostCSS to 8.5.18 to Patch Source Map Traversal (#14463) 2026-07-27 12:45:55 -04:00
package.json 🗺️ chore: Bump PostCSS to 8.5.18 to Patch Source Map Traversal (#14463) 2026-07-27 12:45:55 -04:00
rag.yml
README.md
README.zh.md
turbo.json

LibreChat

English · 中文

Deploy on Railway Deploy on Zeabur Deploy on Sealos

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✨ 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
  • 🔧 Code Interpreter API:

    • 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.md instruction bundles for manual, automatic, or always-on agent workflows
      • 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
  • 🔍 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

  • 💾 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
  • 🌊 Resumable Streams:

    • 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
  • 🎛️ 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:

Other:


📝 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

Star History Chart

danny-avila%2FLibreChat | Trendshift ROSS Index - Fastest Growing Open-Source Startups in Q1 2024 | Runa Capital


✨ 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.

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