feat: Add CrewAI Agent Integration

[tonycdr-prog]

Summary

Implements CrewAI crew runner as requested in #266, following the existing LangChain integration pattern.

What is CrewAI?

CrewAI is a framework for orchestrating role-based autonomous AI agents. It enables:

• Role-based agent design (each agent has a role, goal, backstory)
• Sequential and parallel task execution
• Agent collaboration on complex tasks
• Tool sharing across agents

Changes

• New CrewAIAgentRunner class in src/openagents/agents/crewai_agent.py
• Tool conversion utilities:
  • openagents_tool_to_crewai() - convert OpenAgents tools to CrewAI format
  • crewai_tool_to_openagents() - convert CrewAI tools to OpenAgents format
• Network tools injected into all agents in the crew
• Full feature parity with LangChain/PydanticAI integrations

Usage

Basic Crew

from crewai import Agent, Task, Crew
from openagents.agents import CrewAIAgentRunner

# Define specialized agents
researcher = Agent(
    role='Researcher',
    goal='Find accurate information on any topic',
    backstory='Expert researcher with keen attention to detail'
)

writer = Agent(
    role='Writer',
    goal='Create clear and engaging content',
    backstory='Skilled writer who explains complex topics simply'
)

# Define tasks
research_task = Task(
    description='Research the following topic: {input}',
    agent=researcher,
    expected_output='Detailed research findings'
)

write_task = Task(
    description='Write an article based on the research findings',
    agent=writer,
    expected_output='Well-written article'
)

# Create crew
crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, write_task],
    verbose=True
)

# Connect to OpenAgents network
runner = CrewAIAgentRunner(
    crew=crew,
    agent_id='research-writer-crew'
)
runner.start(network_host='localhost', network_port=8600)
runner.wait_for_stop()

Reference

Follows the pattern established in:

• src/openagents/agents/langchain_agent.py

Closes #266

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