Instructions for AI coding agents working on this repository. Read .agents/skills/agentic-api-engineering/SKILL.md before implementing, refactoring, fixing, or reviewing code. It defines repository-wide discovery, reuse of existing typed extension points, Rust design and Clippy expectations, provider documentation/parity evidence, and the recorder/test workflow. Apply its shared preparation once. For Rust changes, use the bundled Rust skill; use the focused review skills where relevant. This repository is Rust-first under the vllm-project GitHub organization. - Rust -- primary and active implementation language at the repo…
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Prepare, implement, and review agentic-api code changes using repository architecture, existing typed Rust extension points, provider documentation, and regression evidence. Use before feature work, fixes, refactoring, or code review in this repository.
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Use when planning or reviewing agentic-api changes that affect executor streaming, upstream SSE handling, output-item lifecycle, stream delivery, backpressure, or worker placement.
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Use when reviewing a pull request or proposed change in the agentic-api repository, especially changes affecting API wire formats, upstream forwarding, persistence, continuations, tools, streaming, or test fixtures.
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Apply idiomatic Rust ownership, typed API design, serde, error handling, async, numeric safety, and lint guidance when implementing, refactoring, or reviewing Rust in agentic-api. Includes a focused set of rules selected for this gateway.
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Use when planning, implementing, or reviewing agentic-api changes to the database schema, migrations, storage models, stored JSON, or what a response or item persists.
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This file is the shared guidance for AI coding agents working in this repository. Keep tool-specific entry points, such as CLAUDE.md, thin and point them here so the project rules do not drift. vllm-xpu-kernels is a vLLM component that provides optimized custom kernels for Intel GPUs (XPU). Kernels are written in SYCL/DPC++ and use oneDNN and SYCL-TLA where appropriate. The package registers PyTorch custom ops that vLLM can dispatch on Intel GPU hardware. - Prefer current build metadata over stale…
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This file is the Claude Code entry point for this repository. Read AGENTS.md before making changes. It is the canonical, shared project guidance for build commands, testing, code style, architecture notes, and git hygiene. Keep this file Claude-specific and avoid duplicating project rules here. When a shared rule changes, update AGENTS.md instead.
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This is vllm-gaudi — the vLLM Hardware Plugin for Intel® Gaudi® AI accelerators. It is a plugin package (not a fork) that integrates Intel Gaudi HPUs with the upstream vLLM inference engine via the vLLM plugin architecture. See the README — Getting Started for installation instructions (vLLM checkout, plugin install, Docker). The plugin follows vLLM's pluggable architecture. For Intel® Gaudi® hardware details (MME, TPC, profiling, etc.), see the Intel® Gaudi® Documentation. Key subsystems:
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All project guidelines — architecture, code style, PR conventions, testing, and contribution workflows — are maintained in a single source of truth: Read that file for full context before making changes to this repository.
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All project guidelines — architecture, code style, PR conventions, testing, and contribution workflows — are maintained in a single source of truth: Read that file for full context before making changes to this repository.
689mo agoReviewMountCreate a free account to mount
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md or AGENTS.md?
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
What is a skill?
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Can I search my own team's files too?
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.