plano/demos/samples_python/weather_forecast/arch_config.yaml

version: "0.1-beta"

listeners:
  ingress_traffic:
    address: 0.0.0.0
    port: 10000
    message_format: openai
    timeout: 30s

endpoints:
  weather_forecast_service:
    endpoint: host.docker.internal:18083
    connect_timeout: 0.005s

overrides:
  # confidence threshold for prompt target intent matching
  prompt_target_intent_matching_threshold: 0.6

llm_providers:
  - name: groq
    access_key: $GROQ_API_KEY
    provider_interface: groq
    model: llama-3.2-3b-preview

  - name: gpt-4o
    access_key: $OPENAI_API_KEY
    provider_interface: openai
    model: gpt-4o
    default: true

system_prompt: |
  You are a helpful assistant.

prompt_guards:
  input_guards:
    jailbreak:
      on_exception:
        message: Looks like you're curious about my abilities, but I can only provide assistance for weather forecasting.

prompt_targets:
  - name: get_current_weather
    description: Get current weather at a location.
    parameters:
      - name: location
        description: The location to get the weather for
        required: true
        type: string
        format: City, State
      - name: days
        description: the number of days for the request
        required: true
        type: int
    endpoint:
      name: weather_forecast_service
      path: /weather
      http_method: POST

  - name: default_target
    default: true
    description: This is the default target for all unmatched prompts.
    endpoint:
      name: weather_forecast_service
      path: /default_target
      http_method: POST
    system_prompt: |
      You are a helpful assistant! Summarize the user's request and provide a helpful response.
    # if it is set to false arch will send response that it received from this prompt target to the user
    # if true arch will forward the response to the default LLM
    auto_llm_dispatch_on_response: false

tracing:
  random_sampling: 100
  trace_arch_internal: true