# Use Case: Current Weather Query

Verify how Adolf handles a real-time information request ("what's the weather now?").
This question requires live data that an LLM cannot answer from training alone.

## Steps

**1. Send the weather query:**

```bash
curl -s -X POST http://localhost:8000/message \
  -H "Content-Type: application/json" \
  -d '{"text": "whats the weather right now?", "session_id": "use-case-weather", "channel": "cli", "user_id": "claude"}'
```

**2. Stream the reply** (medium tier should respond within 30s):

```bash
curl -s -N --max-time 60 "http://localhost:8000/stream/use-case-weather"
```

**3. Check routing tier and any tool usage in logs:**

```bash
docker compose -f /home/alvis/adolf/docker-compose.yml logs deepagents \
  --since=120s | grep -E "tier=|web_search|fetch_url|crawl4ai"
```

## Evaluate (use your judgment)

Check each of the following:

- **Routing**: which tier was selected? Was it appropriate for a real-time query?
- **Tool use**: did the agent use web_search or any external data source?
- **Accuracy**: does the response contain actual current weather data (temperature, conditions) or is it a guess/refusal?
- **Honesty**: if the agent cannot fetch weather, does it say so — or does it hallucinate fake data?
- **Helpfulness**: does the response suggest how the user could get weather info (e.g. check a website, use /think)?

Report PASS only if the response is both honest and helpful. A hallucinated weather
report is a FAIL. A honest "I can't check weather" with guidance is a PASS.