version: v0.1
listeners:
  ingress_traffic:
    address: 0.0.0.0
    port: 10000
    message_format: openai
    timeout: 30s

# Centralized way to manage LLMs, manage keys, retry logic, failover and limits in a central way
llm_providers:
  - name: OpenAI
    provider_interface: openai
    access_key: $OPENAI_API_KEY
    model: gpt-4o-mini
    default: true

# Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem.
endpoints:
  app_server:
    # value could be ip address or a hostname with port
    # this could also be a list of endpoints for load balancing
    # for example endpoint: [ ip1:port, ip2:port ]
    endpoint: host.docker.internal:18080
    # max time to wait for a connection to be established
    connect_timeout: 0.005s

# default system prompt used by all prompt targets
system_prompt: |
  You are a Workforce assistant that helps on workforce planning and HR decision makers with reporting and workforce planning. Use following rules when responding,
  - when you get data in json format, offer some summary but don't be too verbose
  - be concise, to the point and do not over analyze the data

prompt_targets:
    - name: workforce
      description: Get workforce data like headcount and satisfaction levels by region and staffing type
      endpoint:
        name: app_server
        path: /agent/workforce
        http_method: POST
      parameters:
        - name: staffing_type
          type: str
          description: specific category or nature of employment used by an organization like fte, contract and agency
          required: true
          enum: [fte, contract, agency]
        - name: region
          type: str
          required: true
          description: Geographical region for which you want workforce data like asia, europe, americas.
        - name: data_snapshot_days_ago
          type: int
          required: false
          description: the snapshot day for which you want workforce data.
    - name: slack_message
      endpoint:
        name: app_server
        path: /agent/slack_message
        http_method: POST
      description: sends a slack message on a channel
      parameters:
        - name: slack_message
          type: string
          required: true
          description: the message that should be sent to a slack channel