Reviewer's Guide

Adjusts OpenAI GPT-5 reasoning payload construction so that temperature and top_p are omitted (instead of forced to 1) whenever reasoning_effort is not 'none', aligning with OpenAI parameter compatibility requirements.

Flow diagram for updated GPT5 reasoning payload pruning logic

flowchart TD
  Start([Start pruneReasoningPayload])
  A[Receive ChatStreamPayload payload]
  B[Determine shouldStream from payload]
  C[Determine isEffortNone from payload.reasoning_effort]

  Start --> A --> B --> C

  C -->|isEffortNone is true| D[Set temperature to payload.temperature]
  C -->|isEffortNone is false| E[Set temperature to undefined]

  C -->|isEffortNone is true| F[Set top_p to payload.top_p]
  C -->|isEffortNone is false| G[Set top_p to undefined]

  B --> H[Set stream to shouldStream]
  B --> I{shouldStream and stream_options present?}
  I -->|yes| J[Include stream_options]
  I -->|no| K[Omit stream_options]

  D --> L[Build pruned payload]
  E --> L
  F --> L
  G --> L
  H --> L
  J --> L
  K --> L

  L --> End([Return pruned payload])

File-Level Changes

Possibly linked issues

• #(not provided): PR prunes top_p and temperature when reasoning effort is set, matching GPT-5.2 parameter compatibility issue.

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@@           Coverage Diff           @@
##             next   #10800   +/-   ##
=======================================
  Coverage   80.31%   80.31%           
=======================================
  Files         980      980           
  Lines       66983    66983           
  Branches     8813     8813           
=======================================
  Hits        53800    53800           
  Misses      13183    13183           

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