plano/docs/source/guides/includes/config.yaml

version: v0.1.0

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

# default system prompt used by all prompt targets
system_prompt: You are a network assistant that just offers facts; not advice on manufacturers or purchasing decisions.

prompt_targets:
  - name: information_extraction
    default: true
    description: handel all scenarios that are question and answer in nature. Like summarization, information extraction, etc.
    endpoint:
      name: app_server
      path: /agent/summary
      http_method: POST
    # Plano uses the default LLM and treats the response from the endpoint as the prompt to send to the LLM
    auto_llm_dispatch_on_response: true
    # override system prompt for this prompt target
    system_prompt: You are a helpful information extraction assistant. Use the information that is provided to you.

  - name: reboot_network_device
    description: Perform device operations like rebooting a device.
    endpoint:
      name: app_server
      path: /agent/action
      http_method: POST
    parameters:
      - name: device_id
        type: str
        description: Identifier of the network device to reboot.
        required: true
      - name: confirmation
        type: bool
        description: Confirmation flag to proceed with reboot.
        default: false
        enum: [true, false]

# Plano 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: 127.0.0.1:80
    # max time to wait for a connection to be established
    connect_timeout: 0.005s