Code Review Context

Model visible context

OpenAI Updated 23.3k repo stars

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Codex maintains a context (history of messages) that is sent to the model in inference requests.

  1. No history rewrite - the context must be built up incrementally.
  2. Avoid frequent changes to context that cause cache misses.
  3. No unbounded items - everything injected in the model context must have a bounded size and a hard cap.
  4. No items larger than 10K tokens.
  5. Highlight new individual items that can cross >1k tokens as P0. These need an additional manual review.
  6. All injected fragments must be defined as structs in core/context and implement ContextualUserFragment trait

openai/codex commit 7faf3d7cd2

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npx skillmds@latest add openai/code-review-context