Function _tool_call_response

tests/planning/test_agentic_loop_integration.py:152–171

Build a mock LLM response containing a tool call. Uses the chuk_llm native format (top-level tool_calls key), which is what the real client returns with stream=False.

(name: str, args: dict)

def _tool_call_response(name: str, args: dict) -> dict:
    """Build a mock LLM response containing a tool call.

    Uses the chuk_llm native format (top-level tool_calls key),
    which is what the real client returns with stream=False.
    """
    return {
        "response": None,
        "tool_calls": [
            {
                "id": "call_1",
                "type": "function",
                "function": {
                    "name": name,
                    "arguments": json.dumps(args),
                },
            }
        ],
        "usage": {"prompt_tokens": 50, "completion_tokens": 15},
    }


def _text_response(text: str = "Step complete.") -> dict: