connic vs Mistral AI Studio
Jedes Modell oder der ganze Mistral-Stack

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()

import os

import httpx
import mistralai.workflows as workflows
from mistralai.client.models import TextChunk
from mistralai.workflows.plugins.mistralai import (
    Agent,
    RemoteSession,
    Runner,
)


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

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


@workflows.workflow.define(name="claims-intake")
class ClaimsIntake:
    @workflows.workflow.entrypoint
    async def run(self, claim: str) -> dict:
        agent = Agent(
            model="mistral-medium-latest",
            name="claims-intake",
            description="Claims intake agent",
            instructions="Check the policy first.",
            tools=[lookup_policy],
        )
        outputs = await Runner.run(
            agent=agent,
            inputs=claim,
            session=RemoteSession(),
        )
        text = [o.text for o in outputs
                if isinstance(o, TextChunk)]
        return {"answer": "\n".join(text)}