version: v0.1
listener:
  address: 127.0.0.1
  port: 8080 #If you configure port 443, you'll need to update the listener with tls_certificates
  message_format: huggingface

# Centralized way to manage LLMs, manage keys, retry logic, failover and limits in a central way
llm_providers:
  - name: OpenAI
    provider: openai
    access_key: $OPENAI_API_KEY
    model: gpt-3.5-turbo
    default: true

# default system prompt used by all prompt targets
system_prompt: |
  You are a network assistant that helps operators with a better understanding of network traffic flow and perform actions on networking operations. No advice on manufacturers or purchasing decisions.

prompt_targets:
  - name: device_summary
    description: Retrieve network statistics for specific devices within a time range
    endpoint:
      name: app_server
      path: /agent/device_summary
      http_method: POST
    parameters:
      - name: device_ids
        type: list
        description: A list of device identifiers (IDs) to retrieve statistics for.
        required: true # device_ids are required to get device statistics
      - name: days
        type: int
        description: The number of days for which to gather device statistics.
        default: "7"
  - name: reboot_devices
    description: Reboot a list of devices
    endpoint:
      name: app_server
      path: /agent/device_reboot
      http_method: POST
    parameters:
      - name: device_ids
        type: list
        description: A list of device identifiers (IDs).
        required: 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:18083
    # max time to wait for a connection to be established
    connect_timeout: 0.005s