LocalAI/AGENTS.md

LocalAI Agent Instructions

This file is the entry point for AI coding assistants (Claude Code, Cursor, Copilot, Codex, Aider, etc.) working on LocalAI. It is an index to detailed topic guides in the .agents/ directory. Read the relevant file(s) for the task at hand — you don't need to load all of them.

Human contributors: see CONTRIBUTING.md for the development workflow.

Policy for AI-Assisted Contributions

LocalAI follows the Linux kernel project's guidelines for AI coding assistants. Before submitting AI-assisted code, read .agents/ai-coding-assistants.md. Key rules:

• No Signed-off-by from AI. Only the human submitter may sign off on the Developer Certificate of Origin.
• No Co-Authored-By: <AI> trailers. The human contributor owns the change.
• Use an Assisted-by: trailer to attribute AI involvement. Format: Assisted-by: AGENT_NAME:MODEL_VERSION [TOOL1] [TOOL2].
• The human submitter is responsible for reviewing, testing, and understanding every line of generated code.

Topics

File	When to read
.agents/ai-coding-assistants.md	Policy for AI-assisted contributions — licensing, DCO, attribution
.agents/building-and-testing.md	Building the project, running tests, Docker builds for specific platforms
.agents/ci-caching.md	CI build cache layout (registry-backed BuildKit cache on quay.io/go-skynet/ci-cache, per-arch keys), DEPS_REFRESH weekly cache-buster for unpinned Python deps, prebuilt base-grpc-* images for llama.cpp variants, per-arch native + manifest-merge pattern, setup-build-disk /mnt relocation, path filter on master push, manual eviction
.agents/adding-backends.md	Adding a new backend (Python, Go, or C++) — full step-by-step checklist, including importer integration (the /import-model dropdown is server-driven from GET /backends/known)
.agents/coding-style.md	Code style, editorconfig, logging, documentation conventions
.agents/llama-cpp-backend.md	Working on the llama.cpp backend — architecture, updating, tool call parsing
.agents/vllm-backend.md	Working on the vLLM / vLLM-omni backends — native parsers, ChatDelta, CPU build, libnuma packaging, backend hooks
.agents/sglang-backend.md	Working on the SGLang backend — engine_args validation against ServerArgs, speculative-decoding (EAGLE/EAGLE3/DFLASH/MTP) recipes, parser handling
.agents/ds4-backend.md	Working on the ds4 backend - DSML state machine, thinking modes, KV cache, Metal+CUDA matrix
.agents/testing-mcp-apps.md	Testing MCP Apps (interactive tool UIs) in the React UI
.agents/api-endpoints-and-auth.md	Adding API endpoints, auth middleware, feature permissions, user access control
.agents/debugging-backends.md	Debugging runtime backend failures, dependency conflicts, rebuilding backends
.agents/adding-gallery-models.md	Adding GGUF models from HuggingFace to the model gallery
.agents/localai-assistant-mcp.md	LocalAI Assistant chat modality — adding admin tools to the in-process MCP server, editing skill prompts, keeping REST + MCP + skills in sync
.agents/backend-signing.md	Backend OCI image signing (keyless cosign + sigstore-go) — producer-side CI setup, consumer-side gallery verification: block, strict mode (LOCALAI_REQUIRE_BACKEND_INTEGRITY), revocation via not_before

Quick Reference

• Git hooks & coverage gates: Run make install-hooks once per clone so the pre-commit lint + coverage gates run. Never bypass them with git commit --no-verify, and never lower a coverage baseline or widen a gate's tolerance to turn a red gate green — the coverage ratchet only moves up. If a change drops coverage, add tests to raise it (e.g. render-smoke specs). See .agents/building-and-testing.md.
• Logging: Use github.com/mudler/xlog (same API as slog)
• Go style: Prefer any over interface{}
• Comments: Explain why, not what
• Docs: Update docs/content/ when adding features or changing config
• New API endpoints: LocalAI advertises its capability surface in several independent places — swagger @Tags, /api/instructions registry, auth RouteFeatureRegistry, React UI capabilities.js, docs. Read .agents/api-endpoints-and-auth.md and follow its checklist — missing any surface means clients, admins, and the UI won't know the endpoint exists.
• Admin endpoints → MCP tool: every admin endpoint that an admin would manage conversationally (install/list/edit/toggle/upgrade) MUST also be exposed as an MCP tool in pkg/mcp/localaitools/. The LocalAI Assistant chat modality and the standalone local-ai mcp-server consume that package; drift between REST and MCP is a real risk. Read .agents/localai-assistant-mcp.md — the TestToolHTTPRouteMappingComplete test fails until you wire the new tool and update the route map.
• Build: Inspect Makefile and .github/workflows/ — ask the user before running long builds
• Backend OS coverage: a new backend must target every OS it can build for, not just Linux. .github/backend-matrix.yml has two matrices — include: (Linux) and includeDarwin: (macOS / Apple Silicon). Most C/C++/GGML and many Python backends build on Darwin too — wire the includeDarwin entry + backend/index.yaml metal: entries, or say in the PR why an OS is unsupported. See the darwin checklist in .agents/adding-backends.md.
• UI: The active UI is the React app in core/http/react-ui/. The older Alpine.js/HTML UI in core/http/static/ is pending deprecation — all new UI work goes in the React UI