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Agent Context Resolver
Implements multi-layer fallback to determine which agent governs a request:
1. Explicit agent_id in request
2. Session context agent
3. Workspace default agent
4. System default "Chat Assistant"
This ensures all actions have proper agent attribution for governance and audit trails.
"""
from datetime import datetime
import logging
from typing import Any, Dict, Optional, Tuple
from sqlalchemy.orm import Session
from core.agent_governance_service import AgentGovernanceService
from core.models import AgentRegistry, AgentStatus, ChatSession, User
logger = logging.getLogger(__name__)
class AgentContextResolver:
"""
Resolves which agent should govern a given request using a fallback chain.
"""
def __init__(self, db: Session):
self.db = db
self.governance = AgentGovernanceService(db)
async def resolve_agent_for_request(
self,
user_id: str,
session_id: Optional[str] = None,
requested_agent_id: Optional[str] = None,
action_type: str = "chat"
) -> Tuple[Optional[AgentRegistry], Dict[str, Any]]:
"""
Resolve the appropriate agent for a request using fallback chain.
Args:
user_id: User making the request
session_id: Optional session ID for session-level agent
requested_agent_id: Explicitly requested agent ID
action_type: Type of action being performed
Returns:
Tuple of (agent, resolution_context) where:
agent: AgentRegistry instance or None if resolution failed
resolution_context: Dict with resolution details
"""
resolution_context = {
"user_id": user_id,
"session_id": session_id,
"requested_agent_id": requested_agent_id,
"action_type": action_type,
"resolution_path": [],
"resolved_at": datetime.utcnow().isoformat()
}
agent = None
# Level 1: Explicit agent_id in request
if requested_agent_id:
agent = self._get_agent(requested_agent_id)
if agent:
resolution_context["resolution_path"].append("explicit_agent_id")
logger.info(f"Resolved agent via explicit agent_id: {agent.name}")
return agent, resolution_context
else:
resolution_context["resolution_path"].append("explicit_agent_id_not_found")
logger.warning(f"Requested agent_id {requested_agent_id} not found")
# Level 2: Session context agent
if session_id:
agent = self._get_session_agent(session_id)
if agent:
resolution_context["resolution_path"].append("session_agent")
logger.info(f"Resolved agent via session: {agent.name}")
return agent, resolution_context
else:
resolution_context["resolution_path"].append("no_session_agent")
# Level 3: System default "Chat Assistant"
agent = self._get_or_create_system_default()
if agent:
resolution_context["resolution_path"].append("system_default")
logger.info(f"Resolved agent via system default: {agent.name}")
return agent, resolution_context
else:
resolution_context["resolution_path"].append("resolution_failed")
logger.error("Failed to resolve any agent, including system default")
return None, resolution_context
def _get_agent(self, agent_id: str) -> Optional[AgentRegistry]:
"""Fetch agent by ID."""
try:
return self.db.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
except Exception as e:
logger.error(f"Error fetching agent {agent_id}: {e}")
return None
def _get_session_agent(self, session_id: str) -> Optional[AgentRegistry]:
"""
Get agent associated with a session.
Checks if the session has an agent_id in its metadata.
"""
try:
session = self.db.query(ChatSession).filter(
ChatSession.id == session_id
).first()
if not session:
logger.debug(f"Session {session_id} not found")
return None
# Check metadata for agent_id
metadata = session.metadata_json or {}
agent_id = metadata.get("agent_id")
if agent_id:
agent = self._get_agent(agent_id)
if agent:
return agent
return None
except Exception as e:
logger.error(f"Error getting session agent: {e}")
return None
def _get_or_create_system_default(self) -> Optional[AgentRegistry]:
"""
Get or create system default "Chat Assistant" agent.
This is the ultimate fallback for all requests.
"""
try:
# Try to find existing Chat Assistant
agent = self.db.query(AgentRegistry).filter(
AgentRegistry.name == "Chat Assistant",
AgentRegistry.category == "system"
).first()
if agent:
return agent
# Create system default agent
logger.info("Creating system default Chat Assistant agent")
agent = AgentRegistry(
name="Chat Assistant",
description="System default agent for general chat and assistance",
category="system",
module_path="system",
class_name="ChatAssistant",
status=AgentStatus.STUDENT.value,
confidence_score=0.5,
configuration={
"system_prompt": "You are a helpful assistant for business automation and integrations.",
"capabilities": ["chat", "stream_chat", "present_chart", "present_markdown"]
}
)
self.db.add(agent)
self.db.commit()
self.db.refresh(agent)
logger.info(f"Created system default agent: {agent.id}")
return agent
except Exception as e:
logger.error(f"Error creating system default agent: {e}")
return None
def set_session_agent(
self,
session_id: str,
agent_id: str
) -> bool:
"""
Associate an agent with a session.
This allows subsequent requests in the session to use the same agent.
"""
try:
session = self.db.query(ChatSession).filter(
ChatSession.id == session_id
).first()
if not session:
logger.warning(f"Cannot set agent on non-existent session {session_id}")
return False
# Verify that the agent exists
agent = self.db.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
if not agent:
logger.warning(f"Cannot set non-existent agent {agent_id} on session {session_id}")
return False
# Update metadata
metadata = session.metadata_json or {}
metadata["agent_id"] = agent_id
session.metadata_json = metadata
self.db.commit()
logger.info(f"Set agent {agent_id} on session {session_id}")
return True
except Exception as e:
logger.error(f"Error setting session agent: {e}")
return False
def validate_agent_for_action(
self,
agent: AgentRegistry,
action_type: str,
require_approval: bool = False
) -> Dict[str, Any]:
"""
Validate that an agent can perform a specific action.
Convenience wrapper around governance service.
"""
return self.governance.can_perform_action(
agent_id=agent.id,
action_type=action_type,
require_approval=require_approval
)
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