plano/demos/hr_agent/arch_config.yaml

63 lines
2.2 KiB
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