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## Why Dogfooder feedback exposed two correctness gaps in normal-loop overflow recovery: 1. a sampling request that hit `ContextWindowExceeded` could keep re-entering auto-compaction indefinitely if the compacted retry still did not fit, and 2. local compact-history rebuilds flattened user messages down to text, so an overflowing `[image, "what is this?"]` turn could be retried without the image after compaction. That means recovery could either fail to terminate cleanly or proceed with a materially weakened version of the user request. ## What changed - Move normal-loop `ContextWindowExceeded` handling into the sampling retry loop, so successful rescue compaction consumes the provider retry budget instead of creating an unbounded outer-turn loop. - Keep compacted user-history rebuilds structured: `collect_user_messages` now carries user `UserInput` content rather than flattened strings, and `build_compacted_history` reconstructs full user messages from that structured representation. - Preserve image inputs while retaining the existing text-budget truncation behavior for compacted user history. - Preserve existing compaction-task failure handling and client-session reset behavior while bounding repeated overflow retries. - Add focused regression coverage for: - recovery after a normal-loop overflow, - retry-budget exhaustion after repeated overflow, - local recovery preserving image + text input, - remote recovery preserving image + text input, - remote compaction v2 preserving image + text input, and - compaction failure still terminating cleanly. The main behavior changes are in `codex-rs/core/src/session/turn.rs` and `codex-rs/core/src/compact.rs`. ## Verification - Not run locally; relying on PR CI for this update. --------- Co-authored-by: Codex <noreply@openai.com>
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