cillin
45c3996434
Remove deprecated AnalystAgent, PMAgent, and RiskAgent classes. All agent creation now goes through UnifiedAgentFactory creating EvoAgent instances. - Delete backend/agents/analyst.py (169 lines) - Delete backend/agents/portfolio_manager.py (420 lines) - Delete backend/agents/risk_manager.py (139 lines) - Update all imports to use EvoAgent exclusively - Clean up unused imports across 25 files - Update tests to work with simplified agent structure Constraint: EvoAgent is now the single source of truth for all agent roles Constraint: UnifiedAgentFactory handles runtime agent creation Rejected: Keep legacy aliases | creates maintenance burden Confidence: high Scope-risk: moderate (affects agent instantiation paths) Directive: All new agent features must be added to EvoAgent, not legacy classes Not-tested: Kubernetes sandbox executor (marked with TODO)
390 lines
13 KiB
Python
390 lines
13 KiB
Python
# -*- coding: utf-8 -*-
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"""TeamCoordinator - Agent lifecycle management and execution.
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Provides run_parallel() using asyncio.gather() and run_sequential()
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for coordinating multiple agents.
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"""
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from __future__ import annotations
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import asyncio
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import logging
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from typing import Any, Dict, List, Optional
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from agentscope.message import Msg
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logger = logging.getLogger(__name__)
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class TeamCoordinator:
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"""Coordinates agent lifecycle and execution.
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Supports:
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- run_parallel(): Execute multiple agents concurrently with asyncio.gather()
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- run_sequential(): Execute agents one after another
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- run_phase(): Execute a named phase with registered agents
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- register_agent(): Add agent to coordinator
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- unregister_agent(): Remove agent from coordinator
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Each agent maintains separate context/memory.
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"""
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def __init__(
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self,
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participants: Optional[List[Any]] = None,
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task_content: Optional[str] = None,
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messenger: Optional[Any] = None,
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registry: Optional[Any] = None,
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):
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"""Initialize TeamCoordinator.
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Args:
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participants: List of agent instances to coordinate
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task_content: Task description content for the agents
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messenger: AgentMessenger for communication (optional)
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registry: AgentRegistry for agent lookup (optional)
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"""
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self._participants = participants or []
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self._task_content = task_content or ""
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self._messenger = messenger
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self._registry = registry
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self._agents: Dict[str, Any] = {}
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self._running_tasks: Dict[str, asyncio.Task] = {}
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# Auto-register participants
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for agent in self._participants:
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if hasattr(agent, "name"):
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self._agents[agent.name] = agent
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elif hasattr(agent, "id"):
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self._agents[agent.id] = agent
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def register_agent(self, agent_id: str, agent: Any) -> None:
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"""Register an agent with the coordinator.
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Args:
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agent_id: Unique agent identifier
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agent: Agent instance
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"""
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self._agents[agent_id] = agent
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logger.info("Registered agent: %s", agent_id)
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def unregister_agent(self, agent_id: str) -> None:
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"""Unregister an agent from the coordinator.
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Args:
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agent_id: Agent identifier to remove
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"""
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if agent_id in self._agents:
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del self._agents[agent_id]
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logger.info("Unregistered agent: %s", agent_id)
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def get_agent(self, agent_id: str) -> Any:
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"""Get registered agent by ID.
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Args:
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agent_id: Agent identifier
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Returns:
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Agent instance
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"""
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return self._agents.get(agent_id)
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def list_agents(self) -> List[str]:
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"""List all registered agent IDs.
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Returns:
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List of agent identifiers
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"""
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return list(self._agents.keys())
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async def run_parallel(
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self,
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agent_ids: List[str],
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initial_message: Optional[Msg] = None,
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) -> Dict[str, Any]:
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"""Run multiple agents in parallel using asyncio.gather().
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Args:
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agent_ids: List of agent IDs to run concurrently
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initial_message: Optional initial message to broadcast
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Returns:
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Dict mapping agent_id to result
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"""
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async def _run_agent(aid: str) -> tuple[str, Any]:
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agent = self._agents.get(aid)
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if agent is None:
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logger.error("Agent %s not found", aid)
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return (aid, None)
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try:
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if hasattr(agent, "reply") and asyncio.iscoroutinefunction(agent.reply):
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if initial_message:
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result = await agent.reply(initial_message)
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else:
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result = await agent.reply()
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elif hasattr(agent, "run") and asyncio.iscoroutinefunction(agent.run):
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result = await agent.run()
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else:
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result = await agent()
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logger.info("Agent %s completed successfully", aid)
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return (aid, result)
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except Exception as e:
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logger.error("Agent %s failed: %s", aid, e)
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return (aid, {"error": str(e)})
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results = await asyncio.gather(
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*[_run_agent(aid) for aid in agent_ids],
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return_exceptions=True,
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)
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output: Dict[str, Any] = {}
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for result in results:
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if isinstance(result, tuple):
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agent_id, agent_result = result
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output[agent_id] = agent_result
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else:
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logger.error("Unexpected result from asyncio.gather: %s", result)
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logger.info("Parallel run completed for %d agents", len(agent_ids))
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return output
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async def run_sequential(
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self,
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agent_ids: List[str],
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initial_message: Optional[Msg] = None,
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) -> Dict[str, Any]:
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"""Run agents one after another in order.
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Args:
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agent_ids: List of agent IDs to run in sequence
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initial_message: Optional initial message for first agent
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Returns:
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Dict mapping agent_id to result
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"""
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output: Dict[str, Any] = {}
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current_message = initial_message
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for agent_id in agent_ids:
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agent = self._agents.get(agent_id)
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if agent is None:
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logger.error("Agent %s not found", agent_id)
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output[agent_id] = {"error": "Agent not found"}
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continue
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try:
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if hasattr(agent, "reply") and asyncio.iscoroutinefunction(agent.reply):
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result = await agent.reply(current_message)
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elif hasattr(agent, "run") and asyncio.iscoroutinefunction(agent.run):
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result = await agent.run()
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else:
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result = await agent()
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output[agent_id] = result
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current_message = result
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logger.info("Agent %s completed sequentially", agent_id)
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except Exception as e:
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logger.error("Agent %s failed: %s", agent_id, e)
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output[agent_id] = {"error": str(e)}
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break
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logger.info("Sequential run completed for %d agents", len(agent_ids))
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return output
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async def run_phase(
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self,
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phase_name: str,
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agent_ids: Optional[List[str]] = None,
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metadata: Optional[Dict[str, Any]] = None,
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) -> List[Any]:
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"""Execute a named phase with registered agents.
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Args:
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phase_name: Name of the phase (e.g., "analyst_analysis")
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agent_ids: Optional list of agent IDs; if None, uses all registered
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metadata: Optional metadata to include in the message (e.g., tickers, date)
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Returns:
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List of results from each agent
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"""
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if agent_ids is None:
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agent_ids = list(self._agents.keys())
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_agent_ids = [aid for aid in agent_ids if aid in self._agents]
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logger.info(
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"Running phase '%s' with %d agents: %s",
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phase_name,
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len(_agent_ids),
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_agent_ids,
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)
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# Create messages for each agent
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results: List[Any] = []
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for agent_id in _agent_ids:
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agent = self._agents[agent_id]
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try:
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if hasattr(agent, "reply") and asyncio.iscoroutinefunction(agent.reply):
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# Create a message for the agent with proper structure
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msg = Msg(
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name="system",
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content=self._task_content or f"Please execute phase: {phase_name}",
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role="user",
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metadata=metadata,
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)
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result = await agent.reply(msg)
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elif hasattr(agent, "run") and asyncio.iscoroutinefunction(agent.run):
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result = await agent.run()
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else:
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result = await agent()
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results.append(result)
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logger.info("Phase '%s': Agent %s completed", phase_name, agent_id)
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except Exception as e:
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logger.error("Phase '%s': Agent %s failed: %s", phase_name, agent_id, e)
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results.append(None)
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logger.info("Phase '%s' completed with %d results", phase_name, len(results))
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return results
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async def run_with_dependencies(
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self,
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agent_tasks: Dict[str, List[str]],
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initial_message: Optional[Msg] = None,
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) -> Dict[str, Any]:
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"""Run agents respecting dependency graph.
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Args:
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agent_tasks: Dict mapping agent_id to list of prerequisite agent_ids
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initial_message: Optional initial message
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Returns:
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Dict mapping agent_id to result
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"""
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completed: Dict[str, Any] = {}
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remaining = set(agent_tasks.keys())
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while remaining:
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ready = [
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aid for aid in remaining
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if all(dep in completed for dep in agent_tasks.get(aid, []))
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]
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if not ready:
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logger.error("Circular dependency detected in agent tasks")
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for aid in remaining:
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completed[aid] = {"error": "Circular dependency"}
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break
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results = await self.run_parallel(ready, initial_message)
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completed.update(results)
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for aid in ready:
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remaining.discard(aid)
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initial_message = results.get(aid)
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return completed
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async def fanout_pipeline(
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self,
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agents: List[Any],
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msg: Optional[Msg] = None,
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) -> List[Msg]:
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"""Fanout a message to multiple agents concurrently and collect all responses.
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Similar to AgentScope's fanout_pipeline, this sends the same message
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to all specified agents and returns a list of all agent responses.
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Args:
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agents: List of agent instances to fanout the message to
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msg: Message to send to all agents (optional)
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Returns:
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List of Msg responses from each agent (in the same order as input agents)
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Example:
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>>> responses = await fanout_pipeline(
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... agents=[alice, bob, charlie],
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... msg=question,
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... )
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>>> # responses is a list of Msg responses from each agent
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"""
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async def _fanout_to_agent(agent: Any) -> Optional[Msg]:
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"""Send message to a single agent and return its response."""
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try:
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if hasattr(agent, "reply") and asyncio.iscoroutinefunction(agent.reply):
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result = await agent.reply(msg) if msg is not None else await agent.reply()
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elif hasattr(agent, "run") and asyncio.iscoroutinefunction(agent.run):
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result = await agent.run()
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else:
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result = await agent()
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# Convert result to Msg if needed
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if result is None:
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return None
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if isinstance(result, Msg):
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return result
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# If result is a dict with content, wrap it
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if isinstance(result, dict) and "content" in result:
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return Msg(
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name=getattr(agent, "name", "unknown"),
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content=result.get("content", ""),
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role="assistant",
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metadata=result.get("metadata"),
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)
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# Otherwise wrap the result
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return Msg(
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name=getattr(agent, "name", "unknown"),
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content=str(result),
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role="assistant",
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)
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except Exception as e:
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logger.error("Agent %s failed in fanout_pipeline: %s",
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getattr(agent, "name", "unknown"), e)
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return None
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# Run all agents concurrently
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results = await asyncio.gather(
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*[_fanout_to_agent(agent) for agent in agents],
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return_exceptions=True,
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)
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# Filter out exceptions and keep only valid responses
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responses: List[Msg] = []
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for i, result in enumerate(results):
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if isinstance(result, Exception):
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logger.error("Fanout to agent %d failed: %s", i, result)
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responses.append(None) # type: ignore[arg-type]
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else:
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responses.append(result) # type: ignore[arg-type]
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logger.info("Fanout pipeline completed for %d agents", len(agents))
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return responses
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async def shutdown(self, timeout: Optional[float] = 5.0) -> None:
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"""Shutdown all running agents gracefully.
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Args:
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timeout: Timeout for graceful shutdown
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"""
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logger.info("Shutting down TeamCoordinator...")
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cancel_tasks = [
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asyncio.create_task(asyncio.wait_for(task, timeout=timeout))
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for task in self._running_tasks.values()
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]
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if cancel_tasks:
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await asyncio.gather(*cancel_tasks, return_exceptions=True)
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self._running_tasks.clear()
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logger.info("TeamCoordinator shutdown complete")
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@property
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def agents(self) -> Dict[str, Any]:
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"""Get copy of registered agents dict."""
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return dict(self._agents)
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__all__ = ["TeamCoordinator"]
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