Agenten-Harness-Boilerplate-Generator

"""My Agent -- generated by Aizvi's Agent Harness Boilerplate Generator."""
import anthropic

client = anthropic.Anthropic()  # reads ANTHROPIC_API_KEY from the environment

SYSTEM_PROMPT = "Sie sind ein hilfsbereiter und präziser Assistent. Nutzen Sie die verfügbaren Tools, wenn sie zur Beantwortung der Frage des Nutzers beitragen, und geben Sie eine klare, abschließende Antwort, sobald Sie alle benötigten Informationen haben."

# TODO: set MODEL to whichever Claude model you want to use
MODEL = "claude-3-5-sonnet-latest"

TOOLS = [
    {
        "name": "get_weather",
        "description": "Rufen Sie das aktuelle Wetter für einen bestimmten Ort ab.",
        "input_schema": {
            "type": "object",
            "properties": {
                "location": {
                    "type": "string",
                    "description": "Die Stadt und der Bundesstaat, z. B. San Francisco, Kalifornien."
                }
            },
            "required": [
                "location"
            ]
        }
    }
]


def execute_tool(name: str, tool_input: dict) -> str:
    if name == "get_weather":
        # TODO: implement get_weather
        raise NotImplementedError(f"Tool '{name}' is not implemented yet")
    raise ValueError(f"Unknown tool: {name}")


def run_agent(user_message: str, max_iterations: int = 6) -> str:
    messages = [{"role": "user", "content": user_message}]

    for _ in range(max_iterations):
        response = client.messages.create(
            model=MODEL,
            max_tokens=1024,
            system=SYSTEM_PROMPT,
            tools=TOOLS,
            messages=messages,
        )

        messages.append({"role": "assistant", "content": response.content})

        if response.stop_reason != "tool_use":
            return "".join(block.text for block in response.content if block.type == "text")

        tool_results = []
        for block in response.content:
            if block.type == "tool_use":
                result = execute_tool(block.name, block.input)
                tool_results.append({
                    "type": "tool_result",
                    "tool_use_id": block.id,
                    "content": result,
                })

        messages.append({"role": "user", "content": tool_results})

    return "Max iterations reached without a final answer."


if __name__ == "__main__":
    print(run_agent("Hello! What can you help me with?"))