Add GPT-5 model support and temperature documentation #4068
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GPT-5 models (gpt-5, gpt-5-2025-08-07) only support temperature=1.0 and will error with other values. This change adds a parameterized test to validate both models work correctly and updates documentation to warn users about this temperature requirement. - Add chatCompletionEntityWithNewModels test in OpenAiApiIT - Set temperature to 1.0 for GPT-5 compatibility - Add NOTE section in openai-chat.adoc about temperature restriction
- Add GPT_5 and GPT_5_2025_08_07 enum constants to ChatModel in OpenAiApi.java - Update OpenAiApiIT test to use enum constants instead of hardcoded strings - Enhance README.md to highlight support for latest models including GPT-5 - Include JavaDoc documentation with temperature requirement notes (1.0) Fixes GPT-5 model integration with proper type-safe enum constants
| Merged via 1a3ed95. |
sobychacko pushed a commit that referenced this pull request Aug 7, 2025
Fixes #4068 - Add GPT_5 and GPT_5_2025_08_07 enum constants to ChatModel in OpenAiApi.java - Update OpenAiApiIT test to use enum constants instead of hardcoded strings - Enhance README.md to highlight support for latest models including GPT-5 - Include JavaDoc documentation with temperature requirement notes (1.0) Add GPT-5 model support and temperature documentation GPT-5 models (gpt-5, gpt-5-2025-08-07) only support temperature=1.0 and will error with other values. This change adds a parameterized test to validate both models work correctly and updates documentation to warn users about this temperature requirement. - Add chatCompletionEntityWithNewModels test in OpenAiApiIT - Set temperature to 1.0 for GPT-5 compatibility - Add NOTE section in openai-chat.adoc about temperature restriction Fixes GPT-5 model integration with proper type-safe enum constants
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Summary
This PR adds support for testing GPT-5 models and documents their temperature requirements.
Changes
Test Implementation
Documentation Update
Background
GPT-5 models have a strict temperature requirement and will return an error if any value other than 1.0 is used.
Testing
Related Issues
This change addresses model compatibility issues with the new GPT-5 models and improves user documentation to prevent configuration errors.