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fix(gpt5): enforce supports_none_reasoning_effort=false gate for reasoning_effort=none

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The model map carries supports_none_reasoning_effort for gpt-5 and gpt-5-mini
(both false), but the gating block in map_openai_params had branches for xhigh
(opt-in) and minimal/low (opt-out) with no branch for none. The missing gate
meant none was forwarded to the provider regardless of the map, producing a
provider 400 that litellm had all the information to prevent.

Add an elif effective_effort == "none" branch that mirrors the minimal/low
opt-out pattern: pass through when the map is silent, raise UnsupportedParamsError
(400) or drop the param when the map explicitly sets
supports_none_reasoning_effort=false. This makes the three opt-out effort levels
(minimal, low, none) consistent: all three now gate on the explicit-false map
entry rather than having none silently ignored.

Fixes #40472.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
okxint 2026-09-10 11:46:42 +05:30
parent 328a5f5d60
commit 141582c3d3
1 changed files with 14 additions and 0 deletions
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14
litellm/llms/openai/chat/gpt_5_transformation.py
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@ -300,6 +300,20 @@ class OpenAIGPT5Config(OpenAIGPTConfig):
message=(f"reasoning_effort={effective_effort} is not supported for this model."),
status_code=400,
)
elif effective_effort == "none":
# none is opt-out: unknown models pass through; only block when
# the model map explicitly sets supports_none_reasoning_effort=false.
# gpt-5 and gpt-5-mini are both marked supports_none_reasoning_effort=false
# and OpenAI returns 400 for none on those models.
if self._is_reasoning_effort_level_explicitly_disabled(model, effective_effort):
if litellm.drop_params or drop_params:
non_default_params.pop("reasoning_effort", None)
optional_params.pop("reasoning_effort", None)
else:
raise litellm.utils.UnsupportedParamsError(
message=(f"reasoning_effort={effective_effort} is not supported for this model."),
status_code=400,
)
################################################################
# max_tokens is not supported for gpt-5 models on OpenAI API