ソース情報
- リポジトリ
- replicate/cog
- ソースの最終更新活動
- 2026年3月31日 13:25
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SKILL.md
ソースの指示 · 読み取り専用プレビュー- name
- cog-review
- description
- Cog architecture and cross-cutting review guidelines
## Cog architecture review guidelines
Cog packages ML models into production-ready containers. Use this skill for
changes that cross language boundaries or touch core architecture.
### Component overview
- **CLI** (Go): `cmd/cog/` and `pkg/` -- builds, runs, and deploys models
- **Python SDK**: `python/cog/` -- predictor interface, types, HTTP/queue server
- **Coglet** (Rust): `crates/` -- prediction server inside containers (HTTP, worker management, IPC)
### Key design patterns
**Wheel resolution**: The CLI discovers SDK and coglet wheels from `dist/` at
Docker build time. Wheels are NOT embedded in the binary. Changes to build
artifacts need to account for this.
**Dockerfile generation**: `pkg/dockerfile/` generates Dockerfiles from `cog.yaml`
config. Template injection and escaping matter here.
**Config parsing**: `pkg/config/config.go` parses `cog.yaml`. Schema is at
`pkg/config/data/config_schema_v1.0.json`. Changes must keep schema and Go
code in sync.
**Two-process coglet**: Parent process (HTTP server + orchestrator) and child
worker process (Python predictor execution) communicate via IPC. Changes to
the IPC protocol affect both Rust and Python code.
**Compatibility matrix**: CUDA/PyTorch/TensorFlow compatibility is managed in
`tools/compatgen/`. Framework version changes have wide blast radius.
### Cross-cutting concerns
- **VERSION.txt** is the single source of truth for versioning. `Cargo.toml` must match.
- Changes to `python/cog/base_predictor.py` affect all downstream model authors.
- Changes to `docs/` require running `mise run docs:llm` to regenerate `docs/llms.txt`.
- CLI reference docs are auto-generated -- changes to `cmd/` or `pkg/cli/` require `mise run docs:cli`.
- Integration tests in `integration-tests/` use Go's testscript and need a built cog binary.
### What to watch for
- Breaking changes to the predictor interface or cog.yaml schema
- Docker build changes that affect layer caching or build time
- IPC protocol changes without updating both Rust and Python sides
- Version bumps that miss one of the places VERSION.txt needs to match
- New ML framework versions without compatibility testing
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