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fix(anthropic): pass resolved provider to adaptive-thinking check

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The rebase onto staging changed _is_adaptive_thinking_model to require
custom_llm_provider (no default), so the one-arg call in the raw adaptive
thinking branch raised TypeError at runtime for any /chat/completions
caller sending thinking={type: adaptive}. Use self._resolved_provider,
matching the reasoning_effort branch just below. Caught by Greptile.
This commit is contained in:
Abhimanyu Kapur 2026-07-11 14:48:14 -07:00
parent 741220c80f
commit b58ccb092e
1 changed files with 3 additions and 3 deletions
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6
litellm/llms/anthropic/chat/transformation.py
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@ -1487,7 +1487,7 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
if (
isinstance(value, dict)
and value.get("type") == "adaptive"
and not AnthropicConfig._is_adaptive_thinking_model(model)
and not AnthropicConfig._is_adaptive_thinking_model(model, self._resolved_provider)
):
# Callers (e.g. Claude Code) send adaptive thinking
# unconditionally; translate it down to the legacy
@ -1498,8 +1498,8 @@ class AnthropicConfig(AnthropicModelInfo, BaseConfig):
legacy_thinking = AnthropicConfig._map_reasoning_effort(
reasoning_effort="medium",
model=model,
custom_llm_provider=self.custom_llm_provider or "anthropic",
llm_provider=self.custom_llm_provider or "anthropic",
custom_llm_provider=self._resolved_provider,
llm_provider=self._resolved_provider,
)
capped_thinking = (
AnthropicConfig._cap_thinking_budget_to_max_tokens(legacy_thinking, max_tokens)