plano/demos/hr_agent/arch_config.yaml

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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 assistant that helps on workforce planning and HR decision makers with reporting and workfoce planning. NOTHING ELSE. When you get data in json format, offer some summary but don't be too verbose.
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