code-review-context

Preventing context leakage and cache misses in iterative model inference flows requires limiting and structuring model-visible context. You apply bounded, token-safe fragments to constrain history and prevent prompt bloat across sessions.

Managing accumulating history items during Codex-style inference sessions involves applying bounded context fragments. This constrains the model-visible history, ensuring the context remains accurate and scoped to prevent cache misses over iterative conversations.

The ContextualUserFragment trait is a required interface for context management where fragments are defined as structs. Implementing this trait allows you to define and enforce bounded fragments that can be safely injected into the model context.

To enforce a token-safe model context using bounded fragments, you limit and structure model-visible context by using only defined structs. This promotes safe context growth across iterative conversations while preventing leakage and bloated prompts.

Model context bloat occurs in iterative conversations when history items accumulate over sessions without bounds. You limit it by applying bounded fragments that structure and constrain the model-visible context, preventing cache misses and prompt bloat.