litellm - 💡(How to fix) Fix [Bug]: Anthropic silently ignores dict-valued reasoning_effort from openai-agents LitellmModel [2 comments, 1 participants]

from litellm.llms.anthropic.chat.transformation import AnthropicConfig

class AnthropicConfig:
    # ...

    def map_openai_params(self, non_default_params, optional_params, model, drop_params=False):
        # ...
        if "reasoning_effort" in non_default_params:
            effort = non_default_params["reasoning_effort"]
            if isinstance(effort, dict):
                # Extract effort from dict and map to budget_tokens
                if "effort" in effort:
                    thinking_config = {"type": "enabled", "budget_tokens": self.effort_to_budget_tokens(effort["effort"])}
                    params["thinking"] = thinking_config
                else:
                    # Raise validation error if effort is not present in dict
                    raise ValueError("Invalid reasoning_effort dict: missing 'effort' key")
            elif isinstance(effort, str):
                # Handle string-valued reasoning_effort as before
                thinking_config = {"type": "enabled", "budget_tokens": self.effort_to_budget_tokens(effort)}
                params["thinking"] = thinking_config
            else:
                # Raise validation error for unsupported types
                raise ValueError("Invalid reasoning_effort type: expected str or dict")
        # ...

    def effort_to_budget_tokens(self, effort):
        # Implement effort to budget_tokens mapping
        # For example:
        effort_map = {"low": 1024, "medium": 2048, "high": 4096}
        return effort_map.get(effort, 1024)  # Default to 1024 if effort is not mapped

cfg = AnthropicConfig()

print(
    cfg.map_openai_params(
        non_default_params={"reasoning_effort": {"effort": "low", "summary": "auto"}},
        optional_params={},
        model="anthropic/claude-sonnet-4-20250514",
        drop_params=False,
    )
)

print(
    cfg.map_openai_params(
        non_default_params={"reasoning_effort": "