Copy CCLI source to backend for Docker builds
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344
backend/ccli_src/agents/cli_agent_factory.py
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344
backend/ccli_src/agents/cli_agent_factory.py
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"""
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CLI Agent Factory
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Creates and manages CLI-based agents with predefined configurations.
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"""
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import logging
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from typing import Dict, List, Optional, Any
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from enum import Enum
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from dataclasses import dataclass
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from agents.gemini_cli_agent import GeminiCliAgent, GeminiCliConfig
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class CliAgentType(Enum):
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"""Supported CLI agent types"""
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GEMINI = "gemini"
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class Specialization(Enum):
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"""Agent specializations"""
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GENERAL_AI = "general_ai"
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REASONING = "reasoning"
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CODE_ANALYSIS = "code_analysis"
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DOCUMENTATION = "documentation"
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TESTING = "testing"
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@dataclass
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class CliAgentDefinition:
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"""Definition for a CLI agent instance"""
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agent_id: str
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agent_type: CliAgentType
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config: Dict[str, Any]
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specialization: Specialization
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description: str
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enabled: bool = True
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class CliAgentFactory:
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"""
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Factory for creating and managing CLI agents
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Provides predefined configurations for known agent instances and
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supports dynamic agent creation with custom configurations.
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"""
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# Predefined agent configurations based on verified environment testing
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PREDEFINED_AGENTS = {
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"walnut-gemini": CliAgentDefinition(
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agent_id="walnut-gemini",
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agent_type=CliAgentType.GEMINI,
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config={
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"host": "walnut",
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"node_version": "v22.14.0",
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"model": "gemini-2.5-pro",
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"max_concurrent": 2,
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"command_timeout": 60,
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"ssh_timeout": 5
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},
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specialization=Specialization.GENERAL_AI,
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description="Gemini CLI agent on WALNUT for general AI tasks",
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enabled=True
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),
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"ironwood-gemini": CliAgentDefinition(
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agent_id="ironwood-gemini",
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agent_type=CliAgentType.GEMINI,
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config={
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"host": "ironwood",
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"node_version": "v22.17.0",
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"model": "gemini-2.5-pro",
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"max_concurrent": 2,
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"command_timeout": 60,
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"ssh_timeout": 5
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},
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specialization=Specialization.REASONING,
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description="Gemini CLI agent on IRONWOOD for reasoning tasks (faster)",
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enabled=True
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),
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# Additional specialized configurations
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"walnut-gemini-code": CliAgentDefinition(
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agent_id="walnut-gemini-code",
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agent_type=CliAgentType.GEMINI,
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config={
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"host": "walnut",
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"node_version": "v22.14.0",
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"model": "gemini-2.5-pro",
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"max_concurrent": 1, # More conservative for code analysis
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"command_timeout": 90, # Longer timeout for complex code analysis
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"ssh_timeout": 5
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},
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specialization=Specialization.CODE_ANALYSIS,
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description="Gemini CLI agent specialized for code analysis tasks",
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enabled=False # Start disabled, enable when needed
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),
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"ironwood-gemini-docs": CliAgentDefinition(
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agent_id="ironwood-gemini-docs",
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agent_type=CliAgentType.GEMINI,
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config={
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"host": "ironwood",
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"node_version": "v22.17.0",
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"model": "gemini-2.5-pro",
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"max_concurrent": 2,
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"command_timeout": 45,
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"ssh_timeout": 5
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},
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specialization=Specialization.DOCUMENTATION,
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description="Gemini CLI agent for documentation generation",
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enabled=False
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)
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}
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def __init__(self):
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self.logger = logging.getLogger(__name__)
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self.active_agents: Dict[str, GeminiCliAgent] = {}
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@classmethod
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def get_predefined_agent_ids(cls) -> List[str]:
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"""Get list of all predefined agent IDs"""
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return list(cls.PREDEFINED_AGENTS.keys())
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@classmethod
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def get_enabled_agent_ids(cls) -> List[str]:
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"""Get list of enabled predefined agent IDs"""
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return [
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agent_id for agent_id, definition in cls.PREDEFINED_AGENTS.items()
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if definition.enabled
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]
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@classmethod
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def get_agent_definition(cls, agent_id: str) -> Optional[CliAgentDefinition]:
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"""Get predefined agent definition by ID"""
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return cls.PREDEFINED_AGENTS.get(agent_id)
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def create_agent(self, agent_id: str, custom_config: Optional[Dict[str, Any]] = None) -> GeminiCliAgent:
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"""
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Create a CLI agent instance
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Args:
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agent_id: ID of predefined agent or custom ID
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custom_config: Optional custom configuration to override defaults
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Returns:
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GeminiCliAgent instance
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Raises:
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ValueError: If agent_id is unknown and no custom_config provided
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"""
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# Check if agent already exists
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if agent_id in self.active_agents:
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self.logger.warning(f"Agent {agent_id} already exists, returning existing instance")
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return self.active_agents[agent_id]
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# Get configuration
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if agent_id in self.PREDEFINED_AGENTS:
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definition = self.PREDEFINED_AGENTS[agent_id]
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if not definition.enabled:
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self.logger.warning(f"Agent {agent_id} is disabled but being created anyway")
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config_dict = definition.config.copy()
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specialization = definition.specialization.value
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# Apply custom overrides
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if custom_config:
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config_dict.update(custom_config)
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elif custom_config:
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# Custom agent configuration
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config_dict = custom_config
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specialization = custom_config.get("specialization", "general_ai")
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else:
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raise ValueError(f"Unknown agent ID '{agent_id}' and no custom configuration provided")
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# Determine agent type and create appropriate agent
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agent_type = config_dict.get("agent_type", "gemini")
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if agent_type == "gemini" or agent_type == CliAgentType.GEMINI:
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agent = self._create_gemini_agent(agent_id, config_dict, specialization)
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else:
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raise ValueError(f"Unsupported agent type: {agent_type}")
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# Store in active agents
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self.active_agents[agent_id] = agent
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self.logger.info(f"Created CLI agent: {agent_id} ({specialization})")
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return agent
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def _create_gemini_agent(self, agent_id: str, config_dict: Dict[str, Any], specialization: str) -> GeminiCliAgent:
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"""Create a Gemini CLI agent with the given configuration"""
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# Create GeminiCliConfig from dictionary
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config = GeminiCliConfig(
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host=config_dict["host"],
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node_version=config_dict["node_version"],
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model=config_dict.get("model", "gemini-2.5-pro"),
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max_concurrent=config_dict.get("max_concurrent", 2),
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command_timeout=config_dict.get("command_timeout", 60),
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ssh_timeout=config_dict.get("ssh_timeout", 5),
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node_path=config_dict.get("node_path"),
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gemini_path=config_dict.get("gemini_path")
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)
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return GeminiCliAgent(config, specialization)
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def get_agent(self, agent_id: str) -> Optional[GeminiCliAgent]:
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"""Get an existing agent instance"""
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return self.active_agents.get(agent_id)
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def remove_agent(self, agent_id: str) -> bool:
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"""Remove an agent instance"""
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if agent_id in self.active_agents:
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agent = self.active_agents.pop(agent_id)
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# Note: Cleanup should be called by the caller if needed
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self.logger.info(f"Removed CLI agent: {agent_id}")
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return True
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return False
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def get_active_agents(self) -> Dict[str, GeminiCliAgent]:
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"""Get all active agent instances"""
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return self.active_agents.copy()
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def get_agent_info(self, agent_id: str) -> Optional[Dict[str, Any]]:
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"""Get information about an agent"""
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# Check active agents
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if agent_id in self.active_agents:
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agent = self.active_agents[agent_id]
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return {
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"agent_id": agent_id,
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"status": "active",
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"host": agent.config.host,
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"model": agent.config.model,
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"specialization": agent.specialization,
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"active_tasks": len(agent.active_tasks),
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"max_concurrent": agent.config.max_concurrent,
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"statistics": agent.get_statistics()
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}
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# Check predefined but not active
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if agent_id in self.PREDEFINED_AGENTS:
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definition = self.PREDEFINED_AGENTS[agent_id]
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return {
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"agent_id": agent_id,
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"status": "available" if definition.enabled else "disabled",
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"agent_type": definition.agent_type.value,
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"specialization": definition.specialization.value,
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"description": definition.description,
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"config": definition.config
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}
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return None
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def list_all_agents(self) -> Dict[str, Dict[str, Any]]:
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"""List all agents (predefined and active)"""
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all_agents = {}
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# Add predefined agents
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for agent_id in self.PREDEFINED_AGENTS:
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all_agents[agent_id] = self.get_agent_info(agent_id)
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# Add any custom active agents not in predefined list
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for agent_id in self.active_agents:
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if agent_id not in all_agents:
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all_agents[agent_id] = self.get_agent_info(agent_id)
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return all_agents
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async def health_check_all(self) -> Dict[str, Dict[str, Any]]:
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"""Perform health checks on all active agents"""
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health_results = {}
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for agent_id, agent in self.active_agents.items():
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try:
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health_results[agent_id] = await agent.health_check()
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except Exception as e:
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health_results[agent_id] = {
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"agent_id": agent_id,
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"error": str(e),
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"healthy": False
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}
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return health_results
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async def cleanup_all(self):
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"""Clean up all active agents"""
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for agent_id, agent in list(self.active_agents.items()):
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try:
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await agent.cleanup()
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self.logger.info(f"Cleaned up agent: {agent_id}")
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except Exception as e:
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self.logger.error(f"Error cleaning up agent {agent_id}: {e}")
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self.active_agents.clear()
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@classmethod
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def create_custom_agent_config(cls, host: str, node_version: str,
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specialization: str = "general_ai",
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**kwargs) -> Dict[str, Any]:
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"""
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Helper to create custom agent configuration
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Args:
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host: Target host for SSH connection
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node_version: Node.js version (e.g., "v22.14.0")
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specialization: Agent specialization
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**kwargs: Additional configuration options
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Returns:
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Configuration dictionary for create_agent()
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"""
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config = {
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"host": host,
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"node_version": node_version,
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"specialization": specialization,
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"agent_type": "gemini",
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"model": "gemini-2.5-pro",
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"max_concurrent": 2,
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"command_timeout": 60,
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"ssh_timeout": 5
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}
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config.update(kwargs)
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return config
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# Module-level convenience functions
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_default_factory = None
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def get_default_factory() -> CliAgentFactory:
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"""Get the default CLI agent factory instance"""
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global _default_factory
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if _default_factory is None:
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_default_factory = CliAgentFactory()
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return _default_factory
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def create_agent(agent_id: str, custom_config: Optional[Dict[str, Any]] = None) -> GeminiCliAgent:
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"""Convenience function to create an agent using the default factory"""
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factory = get_default_factory()
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return factory.create_agent(agent_id, custom_config)
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