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refactor(anthropic): build adaptive output_config in one shot in legacy thinking helper
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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1 changed files with 21 additions and 16 deletions
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@ -516,24 +516,29 @@ class AnthropicModelInfo(BaseLLMModelInfo):
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if not isinstance(thinking, dict) or thinking.get("type") != "enabled":
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return
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budget: Final = int(thinking.get("budget_tokens") or 0)
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if budget >= DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET and (
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effort: Final = AnthropicModelInfo._legacy_budget_to_effort(
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model=model,
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budget_tokens=int(thinking.get("budget_tokens") or 0),
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custom_llm_provider=custom_llm_provider,
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)
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existing_output_config: Final = optional_params.get("output_config")
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optional_params["thinking"] = {"type": "adaptive"}
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optional_params["output_config"] = {
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"effort": effort,
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**(existing_output_config if isinstance(existing_output_config, dict) else MappingProxyType({})),
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}
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@staticmethod
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def _legacy_budget_to_effort(model: str, budget_tokens: int, custom_llm_provider: str) -> str:
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if budget_tokens >= DEFAULT_REASONING_EFFORT_XHIGH_THINKING_BUDGET and (
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AnthropicModelInfo._supports_model_capability(model, "supports_xhigh_reasoning_effort", custom_llm_provider)
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):
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effort = "xhigh"
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elif budget >= DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET:
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effort = "high"
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elif budget >= DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET:
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effort = "medium"
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else:
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effort = "low"
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optional_params["thinking"] = {"type": "adaptive"}
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existing_output_config = optional_params.get("output_config")
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if not isinstance(existing_output_config, dict):
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existing_output_config = {}
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existing_output_config.setdefault("effort", effort)
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optional_params["output_config"] = existing_output_config
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return "xhigh"
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if budget_tokens >= DEFAULT_REASONING_EFFORT_HIGH_THINKING_BUDGET:
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return "high"
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if budget_tokens >= DEFAULT_REASONING_EFFORT_MEDIUM_THINKING_BUDGET:
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return "medium"
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return "low"
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def is_effort_used(
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self,
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