/yaml_instance/demo_function_call.yaml

version: 0.4.0
vars: {}
graph:
  id: weather_graph
  description: "Weather assistant: fetch temperature then generate clothing advice."
  is_majority_voting: false
  start:
    - A
  nodes:
    - id: A
      type: agent
      config:
        provider: openai
        base_url: ${BASE_URL}
        api_key: ${API_KEY}
        name: gpt-4o
        role: 'You are a weather inquiry assistant, responsible for calling tools to get the real-time temperature of a specified city.

          The user will input a city name. You need to:

          1. Continuously call functions to obtain the information until you get the city''s temperature.

          2. Directly return the result of the call in the format: City Name: Temperature. '
        tooling:
          - type: function
            config:
              auto_load: true
              tools:
                - name: get_weather
                - name: get_city_num
        params:
          temperature: 0.3
          max_tokens: 200
    - id: B
      type: agent
      config:
        provider: openai
        base_url: ${BASE_URL}
        api_key: ${API_KEY}
        name: gpt-4o
        role: 'You are a lifestyle assistant. The user will provide you with the current temperature of a city (unit might be Celsius or Fahrenheit).

          You need to generate clothing advice based on the temperature.

          - If the temperature is below 10℃: Suggest wearing a thick coat.

          - If the temperature is between 10–20℃: Suggest wearing long sleeves or a light jacket.

          - If the temperature is between 20–30℃: Suggest wearing short sleeves.

          - If the temperature is above 30℃: Suggest wearing cool clothing and paying attention to sun protection.

          Output format:

          ### Clothing Advice

          - City: xxx

          - Current temperature: xx℃

          - Advice: xxxx

          '
  edges:
    - from: A
      to: B