Handle inline image request caps gracefully

[fjord-oai]

Summary

Handle inline image request caps gracefully.

Codex now enforces two Responses API request limits using model capability data:

• total inline image bytes, defaulting to 512 MiB
• total image count, defaulting to 1,500

If the current turn’s tool output would push a request over either limit, Codex replaces the tool-emitted images with a textual recovery message before persisting history, while preserving any existing text output from the tool. That lets the model continue in the same turn and keeps resumed/forked threads aligned with the context the model actually saw.

Changes

• Added inline_image_request_limit_bytes and inline_image_request_limit_image_count to ModelInfo.
• Added local preflight logic for request-wide inline image bytes and image count.
• Defaulted those limits to 512 MiB and 1,500 when the model does not specify overrides.
• Sanitized over-limit tool image output before history/rollout persistence.
• Preserved non-image tool text when sanitizing mixed tool output.
• Added targeted tests for:
  • request byte counting
  • request image counting
  • model capability propagation
  • pre-persistence sanitization
  • preserving text while stripping image output
• Moved inline_image_request_limit unit tests into a sibling inline_image_request_limit_tests.rs file.

[fjord-oai]

@codex review

[chatgpt-codex-connector]

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Reviewed commit: 9aef5c791e

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[fjord-oai]

@codex review

[chatgpt-codex-connector]

Codex Review: Didn't find any major issues. Keep them coming!

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

• Open a pull request for review
• Mark a draft as ready
• Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".