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63 lines
2.3 KiB
YAML
63 lines
2.3 KiB
YAML
version: v0.1.0
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listeners:
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ingress_traffic:
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address: 0.0.0.0
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port: 10000
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message_format: openai
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timeout: 30s
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# Centralized way to manage LLMs, manage keys, retry logic, failover and limits in a central way
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llm_providers:
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- access_key: $OPENAI_API_KEY
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model: openai/gpt-4o-mini
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default: true
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# Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem.
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endpoints:
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app_server:
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# value could be ip address or a hostname with port
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# this could also be a list of endpoints for load balancing
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# for example endpoint: [ ip1:port, ip2:port ]
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endpoint: host.docker.internal:18083
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# max time to wait for a connection to be established
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connect_timeout: 0.005s
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# default system prompt used by all prompt targets
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system_prompt: |
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You are a Workforce assistant that helps on workforce planning and HR decision makers with reporting and workforce planning. Use following rules when responding,
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- when you get data in json format, offer some summary but don't be too verbose
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- be concise, to the point and do not over analyze the data
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prompt_targets:
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- name: workforce
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description: Get workforce data like headcount and satisfaction levels by region and staffing type
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endpoint:
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name: app_server
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path: /agent/workforce
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http_method: POST
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parameters:
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- name: staffing_type
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type: str
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description: specific category or nature of employment used by an organization like fte, contract and agency
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required: true
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enum: [fte, contract, agency]
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- name: region
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type: str
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required: true
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description: Geographical region for which you want workforce data like asia, europe, americas.
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- name: data_snapshot_days_ago
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type: int
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required: false
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description: the snapshot day for which you want workforce data.
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- name: slack_message
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endpoint:
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name: app_server
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path: /agent/slack_message
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http_method: POST
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description: sends a slack message on a channel
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parameters:
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- name: slack_message
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type: string
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required: true
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description: the message that should be sent to a slack channel
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