mrhavens
8e92e99205
- Changed all load_dotenv() calls to use relative path (just load_dotenv()) - No OpenClaw dependencies - Works anywhere after pip install
170 lines
4.3 KiB
Python
170 lines
4.3 KiB
Python
"""Base Crew for Opus Orchestrator.
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Provides common functionality for all crews.
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"""
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import os
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from typing import Any, Optional
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from crewai import Agent, Crew, LLM, Process, Task
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from dotenv import load_dotenv
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load_dotenv()
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from opus_orchestrator.config import get_config
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def get_crewai_llm(provider: str = "openai", model: str = "gpt-4o") -> LLM:
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"""Get a CrewAI LLM instance.
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Args:
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provider: LLM provider (openai, anthropic, etc.)
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model: Model name
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Returns:
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Configured CrewAI LLM
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"""
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api_key = os.environ.get("OPENAI_API_KEY")
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if provider == "openai":
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return LLM(
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model="openai/" + model,
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api_key=api_key,
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)
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elif provider == "anthropic":
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return LLM(
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model="anthropic/" + model,
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api_key=os.environ.get("ANTHROPIC_API_KEY"),
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)
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else:
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# Default to OpenAI
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return LLM(
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model="openai/gpt-4o",
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api_key=api_key,
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)
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class OpusCrew:
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"""Base class for Opus crews with common functionality."""
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def __init__(
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self,
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agents: Optional[list[Agent]] = None,
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tasks: Optional[list[Task]] = None,
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process: Process = Process.sequential,
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verbose: bool = True,
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):
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"""Initialize the crew.
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Args:
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agents: List of CrewAI agents
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tasks: List of tasks to complete
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process: Process type (sequential, hierarchical)
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verbose: Enable verbose output
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"""
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self.config = get_config()
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self.llm = get_crewai_llm(
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provider=self.config.agent.provider,
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model=self.config.agent.model,
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)
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self.agents = agents or []
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self.tasks = tasks or []
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self.process = process
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self.verbose = verbose
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self._crew: Optional[Crew] = None
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def create_agent(
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self,
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role: str,
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goal: str,
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backstory: str,
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tools: Optional[list] = None,
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verbose: bool = True,
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) -> Agent:
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"""Create a CrewAI agent with the configured LLM.
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Args:
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role: Agent's role title
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goal: Agent's goal
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backstory: Agent's backstory
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tools: Optional tools for the agent
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verbose: Enable verbose
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Returns:
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Configured CrewAI Agent
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"""
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return Agent(
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role=role,
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goal=goal,
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backstory=backstory,
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llm=self.llm,
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tools=tools or [],
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verbose=verbose,
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)
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def create_task(
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self,
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description: str,
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agent: Agent,
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expected_output: Optional[str] = None,
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) -> Task:
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"""Create a CrewAI task.
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Args:
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description: Task description
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agent: Agent to perform the task
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expected_output: Expected output format
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Returns:
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Configured Task
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"""
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return Task(
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description=description,
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agent=agent,
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expected_output=expected_output or "A well-written piece of content.",
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)
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def build(self) -> Crew:
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"""Build the crew with configured agents and tasks.
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Returns:
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Configured CrewAI Crew
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"""
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self._crew = Crew(
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agents=self.agents,
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tasks=self.tasks,
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process=self.process,
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verbose=self.verbose,
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)
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return self._crew
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def run(self, inputs: Optional[dict[str, Any]] = None) -> Any:
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"""Run the crew.
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Args:
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inputs: Input variables for the crew
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Returns:
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Crew execution result
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"""
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if not self._crew:
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self.build()
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return self._crew.kickoff(inputs=inputs or {})
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async def run_async(self, inputs: Optional[dict[str, Any]] = None) -> Any:
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"""Run the crew asynchronously.
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Args:
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inputs: Input variables for the crew
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Returns:
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Crew execution result
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"""
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if not self._crew:
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self.build()
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return await self._crew.kickoff_async(inputs=inputs or {})
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