Initial commit of integrated agent system
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cillin
332
backend/agents/factory.py
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332
backend/agents/factory.py
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# -*- coding: utf-8 -*-
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"""Agent Factory - Dynamic creation and management of AgentConfigs."""
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import logging
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import shutil
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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import yaml
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logger = logging.getLogger(__name__)
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@dataclass
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class ModelConfig:
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"""Model configuration for an agent."""
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model_name: str = "gpt-4o"
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temperature: float = 0.7
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max_tokens: int = 4096
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class AgentConfig:
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"""Represents a configured agent instance (data class)."""
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def __init__(
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self,
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agent_id: str,
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agent_type: str,
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workspace_id: str,
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config_path: Path,
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model_config: Optional[ModelConfig] = None,
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):
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self.agent_id = agent_id
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self.agent_type = agent_type
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self.workspace_id = workspace_id
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self.config_path = config_path
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self.model_config = model_config or ModelConfig()
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self.agent_dir = config_path.parent
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def to_dict(self) -> Dict[str, Any]:
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"""Serialize agent to dictionary."""
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return {
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"agent_id": self.agent_id,
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"agent_type": self.agent_type,
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"workspace_id": self.workspace_id,
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"config_path": str(self.config_path),
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"agent_dir": str(self.agent_dir),
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"model_config": {
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"model_name": self.model_config.model_name,
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"temperature": self.model_config.temperature,
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"max_tokens": self.model_config.max_tokens,
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},
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}
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class AgentFactory:
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"""Factory for creating, cloning, and managing agents."""
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def __init__(self, project_root: Optional[Path] = None):
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"""Initialize the agent factory.
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Args:
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project_root: Root directory of the project
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"""
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self.project_root = project_root or Path(__file__).parent.parent.parent
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self.workspaces_root = self.project_root / "workspaces"
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self.template_dir = self.project_root / "backend" / "workspaces" / ".template"
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def create_agent(
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self,
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agent_id: str,
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agent_type: str,
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workspace_id: str,
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model_config: Optional[ModelConfig] = None,
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clone_from: Optional[str] = None,
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) -> AgentConfig:
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"""Create a new agent.
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Args:
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agent_id: Unique identifier for the agent
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agent_type: Type of agent (e.g., "technical_analyst")
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workspace_id: ID of the workspace to create agent in
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model_config: Model configuration
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clone_from: Path to existing agent to clone from (optional)
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Returns:
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AgentConfig instance
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Raises:
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ValueError: If agent already exists or workspace doesn't exist
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"""
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workspace_dir = self.workspaces_root / workspace_id
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if not workspace_dir.exists():
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raise ValueError(f"Workspace '{workspace_id}' does not exist")
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agent_dir = workspace_dir / "agents" / agent_id
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if agent_dir.exists():
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raise ValueError(f"Agent '{agent_id}' already exists in workspace '{workspace_id}'")
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# Create directory structure
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agent_dir.mkdir(parents=True, exist_ok=True)
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(agent_dir / "skills" / "active").mkdir(parents=True, exist_ok=True)
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(agent_dir / "skills" / "local").mkdir(parents=True, exist_ok=True)
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(agent_dir / "skills" / "installed").mkdir(parents=True, exist_ok=True)
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(agent_dir / "skills" / "disabled").mkdir(parents=True, exist_ok=True)
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# Copy template or clone existing agent
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if clone_from:
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self._clone_agent_files(clone_from, agent_dir, agent_id)
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else:
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self._copy_template(agent_dir, agent_id, agent_type)
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# Write agent.yaml
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config_path = agent_dir / "agent.yaml"
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self._write_agent_yaml(config_path, agent_id, agent_type, model_config)
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return AgentConfig(
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agent_id=agent_id,
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agent_type=agent_type,
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workspace_id=workspace_id,
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config_path=config_path,
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model_config=model_config,
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)
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def delete_agent(self, agent_id: str, workspace_id: str) -> bool:
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"""Delete an agent and its workspace.
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Args:
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agent_id: ID of the agent to delete
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workspace_id: ID of the workspace containing the agent
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Returns:
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True if deleted, False if agent didn't exist
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"""
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agent_dir = self.workspaces_root / workspace_id / "agents" / agent_id
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if not agent_dir.exists():
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return False
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shutil.rmtree(agent_dir)
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return True
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def clone_agent(
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self,
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source_agent_id: str,
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source_workspace_id: str,
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new_agent_id: str,
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target_workspace_id: Optional[str] = None,
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model_config: Optional[ModelConfig] = None,
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) -> AgentConfig:
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"""Clone an existing agent.
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Args:
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source_agent_id: ID of the agent to clone
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source_workspace_id: Workspace containing the source agent
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new_agent_id: ID for the new agent
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target_workspace_id: Target workspace (defaults to source workspace)
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model_config: Optional new model configuration
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Returns:
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AgentConfig instance for the cloned agent
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"""
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target_workspace_id = target_workspace_id or source_workspace_id
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source_dir = self.workspaces_root / source_workspace_id / "agents" / source_agent_id
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if not source_dir.exists():
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raise ValueError(f"Source agent '{source_agent_id}' not found")
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# Load source agent config
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source_config_path = source_dir / "agent.yaml"
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source_config = {}
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if source_config_path.exists():
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with open(source_config_path, "r", encoding="utf-8") as f:
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source_config = yaml.safe_load(f) or {}
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agent_type = source_config.get("agent_type", "generic")
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# Determine source path for cloning
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clone_from = str(source_dir)
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return self.create_agent(
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agent_id=new_agent_id,
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agent_type=agent_type,
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workspace_id=target_workspace_id,
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model_config=model_config,
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clone_from=clone_from,
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)
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def list_agents(self, workspace_id: Optional[str] = None) -> List[Dict[str, Any]]:
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"""List all agents.
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Args:
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workspace_id: Optional workspace to filter by
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Returns:
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List of agent information dictionaries
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"""
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agents = []
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if workspace_id:
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workspaces = [self.workspaces_root / workspace_id]
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else:
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if not self.workspaces_root.exists():
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return agents
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workspaces = [d for d in self.workspaces_root.iterdir() if d.is_dir()]
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for workspace in workspaces:
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agents_dir = workspace / "agents"
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if not agents_dir.exists():
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continue
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for agent_dir in agents_dir.iterdir():
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if not agent_dir.is_dir():
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continue
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config_path = agent_dir / "agent.yaml"
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if config_path.exists():
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try:
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with open(config_path, "r", encoding="utf-8") as f:
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config = yaml.safe_load(f) or {}
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agents.append({
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"agent_id": agent_dir.name,
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"workspace_id": workspace.name,
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"agent_type": config.get("agent_type", "unknown"),
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"config_path": str(config_path),
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})
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except Exception as e:
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logger.warning(f"Failed to load agent config {config_path}: {e}")
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return agents
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def _copy_template(
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self,
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agent_dir: Path,
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agent_id: str,
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agent_type: str,
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) -> None:
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"""Copy template files to agent directory.
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Args:
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agent_dir: Target agent directory
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agent_id: ID of the agent
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agent_type: Type of the agent
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"""
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# Create default markdown files
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default_files = {
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"AGENTS.md": f"# Agent Guide\n\nDocument how {agent_id} should work, collaborate, and choose tools or skills.\n\n",
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"SOUL.md": f"# Soul\n\nDescribe {agent_id}'s temperament, reasoning posture, and voice.\n\n",
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"PROFILE.md": f"# Profile\n\nTrack {agent_id}'s long-lived investment style, preferences, and strengths.\n\n",
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"MEMORY.md": f"# Memory\n\nStore durable lessons, heuristics, and reminders for {agent_id}.\n\n",
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"POLICY.md": f"# Policy\n\nOptional run-scoped constraints, limits, or strategy policy.\n\n",
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}
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for filename, content in default_files.items():
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filepath = agent_dir / filename
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if not filepath.exists():
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filepath.write_text(content, encoding="utf-8")
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def _clone_agent_files(self, source_path: str, target_dir: Path, new_agent_id: str) -> None:
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"""Clone files from an existing agent.
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Args:
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source_path: Path to source agent directory
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target_dir: Target agent directory
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new_agent_id: ID for the new agent
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"""
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source_dir = Path(source_path)
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if not source_dir.exists():
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raise ValueError(f"Source path '{source_path}' does not exist")
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# Copy markdown files
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for md_file in source_dir.glob("*.md"):
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target_file = target_dir / md_file.name
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content = md_file.read_text(encoding="utf-8")
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# Update agent references in content
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source_name = source_dir.name
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content = content.replace(source_name, new_agent_id)
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target_file.write_text(content, encoding="utf-8")
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# Copy skills directory structure (but not contents)
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for skill_subdir in ["active", "local", "installed", "disabled"]:
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source_skills = source_dir / "skills" / skill_subdir
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if source_skills.exists():
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target_skills = target_dir / "skills" / skill_subdir
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target_skills.mkdir(parents=True, exist_ok=True)
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# Copy skill files
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for skill_file in source_skills.iterdir():
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if skill_file.is_file():
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shutil.copy2(skill_file, target_skills / skill_file.name)
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def _write_agent_yaml(
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self,
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config_path: Path,
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agent_id: str,
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agent_type: str,
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model_config: Optional[ModelConfig] = None,
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) -> None:
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"""Write agent.yaml configuration file.
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Args:
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config_path: Path to write configuration
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agent_id: Agent ID
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agent_type: Agent type
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model_config: Optional model configuration
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"""
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config = {
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"agent_id": agent_id,
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"agent_type": agent_type,
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"prompt_files": [
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"SOUL.md",
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"PROFILE.md",
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"AGENTS.md",
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"POLICY.md",
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"MEMORY.md",
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],
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"enabled_skills": [],
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"disabled_skills": [],
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"active_tool_groups": [],
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"disabled_tool_groups": [],
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}
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if model_config:
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config["model"] = {
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"name": model_config.model_name,
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"temperature": model_config.temperature,
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"max_tokens": model_config.max_tokens,
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}
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with open(config_path, "w", encoding="utf-8") as f:
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yaml.safe_dump(config, f, allow_unicode=True, sort_keys=False)
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