plano/docs/source/concepts/includes/arch_config.yaml

version: "0.1-beta"

listener:
  address: 0.0.0.0 # or 127.0.0.1
  port: 10000
  # Defines how Arch should parse the content from application/json or text/pain Content-type in the http request
  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-4o
    default: true
    stream: 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_guards:
  input_guards:
    jailbreak:
      on_exception:
        message: "Looks like you're curious about my abilities, but I can only provide assistance within my programmed parameters."

prompt_targets:
  - name: "reboot_network_device"
    description: "Helps network operators perform device operations like rebooting a device."
    endpoint:
      name: app_server
      path: "/agent/action"
    parameters:
      - name: "device_id"
        # additional type options include: int | float | bool | string | list | dict
        type: "string"
        description: "Identifier of the network device to reboot."
        required: true
      - name: "confirmation"
        type: "string"
        description: "Confirmation flag to proceed with reboot."
        default: "no"
        enum: [yes, no]

  - name: "information_extraction"
    default: true
    description: "This prompt handles all scenarios that are question and answer in nature. Like summarization, information extraction, etc."
    endpoint:
      name: app_server
      path: "/agent/summary"
    # Arch 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.

error_target:
  endpoint:
    name: error_target_1
    path: /error

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