Function run_loop

src/harness/agentic_loop/run_loop.py:51–97

Start the interactive agentic loop against a running sandbox VM.

(
    model: str = "claude-sonnet-4-5",
    mcp_url: str = "http://localhost:7002/mcp",
    output_dir: str | None = None,
    temperature: float = 0.2,
)

def run_loop(
    model: str = "claude-sonnet-4-5",
    mcp_url: str = "http://localhost:7002/mcp",
    output_dir: str | None = None,
    temperature: float = 0.2,
) -> None:
    """Start the interactive agentic loop against a running sandbox VM."""
    from harness.paths import ensure_runtime_dirs, init_run_env

    load_dotenv(find_dotenv(), override=True)
    ensure_runtime_dirs()
    _run_id, host_run = init_run_env("agentic_loop")
    if output_dir is None:
        output_dir = str(host_run)
    else:
        output_dir = str(Path(output_dir).expanduser().resolve())
    Path(output_dir).mkdir(parents=True, exist_ok=True)

    config = LoopConfig(
        model=model,
        mcp_url=mcp_url,
        temperature=temperature,
        output_dir=output_dir,
    )

    mcp_client = MCPClient(url=config.mcp_url)
    llm_client = LLMClient()

    host_out = Path(output_dir)
    # Mirror the host-side layout inside the container so each loop session's
    # logs live under /workspace/outputs/<run_name>/ rather than at the
    # /workspace root.
    sandbox_out = f"outputs/{host_out.name}"
    logger = Logger(
        mcp_client,
        log_file=f"{sandbox_out}/agent_run.log",
        to_stdout=True,
        host_log_path=host_out / "agent_run.log",
        event_log_path=f"{sandbox_out}/agent_events.log",
        host_event_log_path=host_out / "agent_events.log",
    )

    loop = AgenticLoop(mcp_client, llm_client, config, logger)
    try:
        loop.run_interactive()
    finally:
        mcp_client.close()


def main():