plano/demos/hr_agent/arch_config.yaml

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-4o
    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:18083
    # 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 agent assistant that helps workforce planning and HR decision makers with reporting and workfoce planning. NOTHING ELSE. Please stay on topic of workforce planning and HR.

prompt_targets:
    - name: hr_qa
      endpoint:
        name: app_server
        path: /agent/hr_qa
      description: Handle general Q/A related to HR.
      default: true
    - name: workforce
      description: Get workforce data like headcount and satisfacton levels by region and staffing type
      endpoint:
        name: app_server
        path: /agent/workforce
      parameters:
        - name: staffing_type
          type: str
          description: Staffing type like contract, fte or agency
          required: true
        - name: region
          type: str
          required: true
          description: Geographical region for which you want workforce data like asia, europe, americas.
        - name: point_in_time
          type: int
          required: false
          description: the point in time for which to retrieve data. For e.g 0 days ago, 30 days ago, etc.
    - name: slack_message
      endpoint:
        name: app_server
        path: /agent/slack_message
      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