import briefcase_ai as bf
from typing import Any, Dict, Optional

def track_vertex_agent(agent_id: str):
    """
    Connects to Vertex AI Reasoning Engine to track thought and action cycles.
    """
    # Vertex AI Reasoning Engine uses a structured event stream for its steps.
    # This integration would hook into the step callbacks.
    
    def on_step_start(step_name: str, inputs: Dict[str, Any]):
        decision = bf.Decision(f"vertex_agent_step_{step_name}")
        decision.add_tag("agent_id", agent_id)
        decision.add_tag("framework", "vertex_reasoning_engine")
        decision.add_input(bf.Input("step_inputs", inputs, "json"))
        # Store decision in context for completion
        return decision

    def on_step_complete(decision: bf.Decision, output: Any):
        decision.add_output(bf.Output("step_output", str(output), "string"))
        bf.save(decision)

    pass
