## Description Cherry-pick of #15628 to release v4.7. Upstream commit:232c99fa2bThe CLI integration suite (`tests/cli`) fails at setup on this branch every time with `index_create_block_exception ... cluster create-index blocked`. The runner disk is 90-95% full, so OpenSearch hits its disk watermark and blocks index creation. This change: - Adds `volume=100gb` to the integration, onyx-lite, multitenant and connector test runners. - Sets `cluster.routing.allocation.disk.threshold_enabled=false` for OpenSearch in the dev docker compose files. A single-node cluster has nowhere to move shards, so the disk monitor only adds failures. **Resolution:** the upstream commit also edits `.agents/feature-map/components/document-index.md`. The feature map does not exist on this branch, so that file is dropped. Everything else applies unchanged. ## How Has This Been Tested? - CI on the original PR #15628 on main. - CI on this PR. The `tests/cli` integration job should now pass setup. ## Additional Options - [ ] [Optional] Please cherry-pick this PR to the latest release version. - [x] [Optional] Override Linear Check 🤖 Generated with [Claude Code](https://claude.com/claude-code) <!-- This is an auto-generated description by cubic. --> --- ## Summary by cubic Cherry-picks #15628 to release/v4.7 so CLI and connector integration tests stop failing at setup with `index_create_block_exception` when test runner disks are near full. - Adds `volume=100gb` to the integration, onyx-lite, multitenant, and connector test runners. - Disables OpenSearch's disk watermark check in both dev docker compose files; a single-node cluster can't relocate shards, so the monitor only adds failures. - Drops the feature-map doc edit from the upstream commit because `.agents/feature-map` doesn't exist on this branch. <sup>Written for commit65bd3c2607. Summary will update on new commits.</sup> <a href="https://cubic.dev/pr/onyx-dot-app/onyx/pull/16327?utm_source=github" target="_blank" rel="noopener noreferrer" data-no-image-dialog="true"><picture><source media="(prefers-color-scheme: dark)" srcset="https://www.cubic.dev/buttons/review-in-cubic-dark.svg"><source media="(prefers-color-scheme: light)" srcset="https://www.cubic.dev/buttons/review-in-cubic-light.svg"><img alt="View guided diff" src="https://www.cubic.dev/buttons/review-in-cubic-light.svg"></picture></a> <a href="https://www.cubic.dev/action/auto-fix/pr/onyx-dot-app/onyx/16327?returnTo=https%3A%2F%2Fgithub.com%2Fonyx-dot-app%2Fonyx%2Fpull%2F16327&source=description" target="_blank" rel="noopener noreferrer" data-no-image-dialog="true"><picture><source media="(prefers-color-scheme: dark)" srcset="https://www.cubic.dev/buttons/turn-on-auto-fix-dark.svg"><source media="(prefers-color-scheme: light)" srcset="https://www.cubic.dev/buttons/turn-on-auto-fix-light.svg"><img alt="Turn on auto-fix" src="https://www.cubic.dev/buttons/turn-on-auto-fix-light.svg"></picture></a> <!-- End of auto-generated description by cubic. --> Co-authored-by: roshan <38771624+rohoswagger@users.noreply.github.com> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
Onyx - The Open Source AI Platform
Onyx is the application layer for LLMs - bringing a feature-rich interface that can be easily hosted by anyone. Onyx enables LLMs through advanced capabilities like RAG, web search, code execution, file creation, deep research and more.
Connect your applications with over 50+ indexing based connectors provided out of the box or via MCP.
Tip
Deploy with a single command:
curl -fsSL https://onyx.app/install_onyx.sh | bash
⭐ Features
- 🔍 Agentic RAG: Get best in class search and answer quality based on hybrid index + AI Agents for information retrieval
- Benchmark to release soon!
- 🔬 Deep Research: Get in depth reports with a multi-step research flow.
- Top of leaderboard as of Feb 2026.
- 🤖 Custom Agents: Build AI Agents with unique instructions, knowledge, and actions.
- 🌍 Web Search: Browse the web to get up to date information.
- Supports Serper, Google PSE, Brave, SearXNG, and others.
- Comes with an in house web crawler and support for Firecrawl/Exa.
- 📄 Artifacts: Generate documents, graphics, and other downloadable artifacts.
- ▶️ Actions & MCP: Let Onyx agents interact with external applications, comes with flexible Auth options.
- 💻 Code Execution: Execute code in a sandbox to analyze data, render graphs, or modify files.
- 🎙️ Voice Mode: Chat with Onyx via text-to-speech and speech-to-text.
- 🎨 Image Generation: Generate images based on user prompts.
Onyx supports all major LLM providers, both self-hosted (like Ollama, LiteLLM, vLLM, etc.) and proprietary (like Anthropic, OpenAI, Gemini, etc.).
To learn more - check out our docs!
🚀 Deployment Modes
Onyx supports deployments in Docker, Kubernetes, Helm/Terraform and provides guides for major cloud providers. Detailed deployment guides found here.
Onyx supports two separate deployment options: standard and lite.
Onyx Lite
The Lite mode can be thought of as a lightweight Chat UI. It requires less resources (under 1GB memory) and runs a less complex stack. It is great for users who want to test out Onyx quickly or for teams who are only interested in the Chat UI and Agents functionalities.
Standard Onyx
The complete feature set of Onyx which is recommended for serious users and larger teams. Additional components not included in Lite mode:
- Vector + Keyword index for RAG.
- Background containers to run job queues and workers for syncing knowledge from connectors.
- AI model inference servers to run deep learning models used during indexing and inference.
- Performance optimizations for large scale use via in memory cache (Redis) and blob store (MinIO).
Tip
To try Onyx for free without deploying, visit Onyx Cloud.
🏢 Onyx for Enterprise
Onyx is built for teams of all sizes, from individual users to the largest global enterprises:
- 👥 Collaboration: Share chats and agents with other members of your organization.
- 🔐 Single Sign On: SSO via Google OAuth, OIDC, or SAML. Group syncing and user provisioning via SCIM.
- 🛡️ Role Based Access Control: RBAC for sensitive resources like access to agents, actions, etc.
- 📊 Analytics: Usage graphs broken down by teams, LLMs, or agents.
- 🕵️ Query History: Audit usage to ensure safe adoption of AI in your organization.
- 💻 Custom code: Run custom code to remove PII, reject sensitive queries, or to run custom analysis.
- 🎨 Whitelabeling: Customize the look and feel of Onyx with custom naming, icons, banners, and more.
📚 Licensing
There are two editions of Onyx:
- Onyx Community Edition (CE) is available freely under the MIT license and covers all of the core features for Chat, RAG, Agents, and Actions.
- Onyx Enterprise Edition (EE) includes extra features that are primarily useful for larger organizations.
For feature details, check out our website.
👪 Community
Join our open source community on Discord!
💡 Contributing
Looking to contribute? Please check out the Contribution Guide for more details.

