version: v0.1.0

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

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

llm_providers:
  - access_key: $OPENAI_API_KEY
    model: openai/gpt-4o-mini
    default: true

system_prompt: |
  You are a helpful assistant and can offer information about energy sources.
  You will get a JSON object with energy_source and consideration fields. Focus on answering the querstion using those fields.
  Keep your responses to just three main points to make it easy for the reader to digest the information

prompt_targets:
  - name: get_info_for_energy_source
    description: get information about an energy source
    parameters:
      - name: energy_source
        type: str
        description: a source of energy
        required: true
        enum: [renewable, fossil]
      - name: consideration
        type: str
        description: a specific type of consideration for an energy source
        enum: [cost, economic, technology]
    endpoint:
      name: rag_energy_source_agent
      path: /agent/energy_source_info
      http_method: POST

  - name: default_target
    default: true
    description: This is the default target for all unmatched prompts.
    endpoint:
      name: rag_energy_source_agent
      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