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feat(llm): add GPT-5.6 model support - #4

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klau1011 merged 2 commits into
mainfrom
agent/add-gpt-5-6-models
Jul 11, 2026
Merged

feat(llm): add GPT-5.6 model support#4
klau1011 merged 2 commits into
mainfrom
agent/add-gpt-5-6-models

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@klau1011

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Summary

  • add GPT-5.6 Luna and Terra to quick-model selection
  • add GPT-5.6 Sol and Terra to deep-model selection
  • update OpenAI defaults to Luna for quick work and Sol for deep reasoning
  • expose all documented GPT-5.6 reasoning effort levels in the CLI and web UI
  • retain prior OpenAI models as compatibility options

Impact

New runs use the role-appropriate GPT-5.6 variants by default across the library, runner, backend, web frontend, examples, and structured-output smoke script. Existing configurations that name older models continue to work.

Validation

  • .venv/bin/pytest -q (693 passed, 2 skipped)
  • focused GPT-5.6 tests (56 passed, 69 subtests passed)
  • .venv/bin/ruff check ...
  • npm run build in web/frontend
  • git diff --check

No live OpenAI API call was performed.

@klau1011
klau1011 marked this pull request as ready for review July 11, 2026 03:08

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💡 Codex Review

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Reviewed commit: 4db7c82e4d

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Comment thread cli/utils.py
questionary.Choice("Low (Faster)", "low"),
questionary.Choice("None (No reasoning)", "none"),
questionary.Choice("Extra high (More thorough)", "xhigh"),
questionary.Choice("Max (Most thorough)", "max"),

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P2 Badge Gate Max effort to GPT-5.6 models

Selecting Max here is not valid for every OpenAI model still offered by this same flow: the catalog retains pre-5.6 choices such as gpt-5.5 and gpt-5.4, while OpenAI's model pages list those models as supporting none, low, medium, high, and xhigh but not max (for example, https://developers.openai.com/api/docs/models/gpt-5.5). Because the selected openai_reasoning_effort is forwarded unchanged to both OpenAI clients, choosing Max with any retained older quick/deep model will make the run fail at the API request; restrict this option to GPT-5.6 models or normalize it before constructing the clients.

Useful? React with 👍 / 👎.

@klau1011
klau1011 merged commit efbb7b1 into main Jul 11, 2026
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