connic vs CrewAI
Ähnliche Agentendateien, andere Laufzeit

name: claims-intake
model: connic/gpt-5.6-sol
system_prompt: Check the policy first.
tools:
  - policies.lookup_policy

import os
import httpx

API = os.environ["POLICY_API_URL"]

async def lookup_policy(policy_id: str) -> dict:
    """Look up a policy by number.

    Args:
        policy_id: Policy number from the claim
    """
    url = f"{API}/policies/{policy_id}"
    async with httpx.AsyncClient() as client:
        response = await client.get(url)
        return response.json()

{
  "role": "Claims intake agent",
  "goal": "Check the policy first.",
  "backstory": "You review new insurance claims.",
  "llm": "openai/gpt-5.6-sol",
  "tools": ["custom:lookup_policy"]
}

{
  "name": "Claims crew",
  "agents": ["claims_intake"],
  "tasks": [
    {
      "name": "intake",
      "description": "Review this claim: {claim}",
      "expected_output": "The claim and its policy",
      "agent": "claims_intake"
    }
  ]
}

import os
from typing import Type

import httpx
from crewai.tools import BaseTool
from pydantic import BaseModel, Field

API = os.environ["POLICY_API_URL"]


class PolicyInput(BaseModel):
    policy_id: str = Field(
        description="Policy number from the claim"
    )


class LookupPolicy(BaseTool):
    name: str = "lookup_policy"
    description: str = "Look up a policy by number."
    args_schema: Type[BaseModel] = PolicyInput

    def _run(self, policy_id: str) -> dict:
        url = f"{API}/policies/{policy_id}"
        return httpx.get(url).json()