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plano/demos/samples_python/human_resources_agent
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Salman Paracha 88c2bd1851
removing model_server python module to brightstaff (function calling) (#615) 
* adding function_calling functionality via rust

* fixed rendered YAML file

* removed model_server from envoy.template and forwarding traffic to bright_staff

* fixed bugs in function_calling.rs that were breaking tests. All good now

* updating e2e test to clean up disk usage

* removing Arch* models to be used as a default model if one is not specified

* if the user sets arch-function base_url we should honor it

* fixing demos as we needed to pin to a particular version of huggingface_hub else the chatbot ui wouldn't build

* adding a constant for Arch-Function model name

* fixing some edge cases with calls made to Arch-Function

* fixed JSON parsing issues in function_calling.rs

* fixed bug where the raw response from Arch-Function was re-encoded

* removed debug from supervisord.conf

* commenting out disk cleanup

* adding back disk space

---------

Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-288.local>
Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-342.local>
2025-11-22 12:55:00 -08:00
..
arch_config.yaml better model names (#517) 2025-07-11 16:42:16 -07:00
docker-compose.yaml use separate host port for chat ui and for app_server (#473) 2025-04-23 14:05:48 -07:00
Dockerfile refactor demos (#398) 2025-02-07 18:45:42 -08:00
image.png refactor demos (#398) 2025-02-07 18:45:42 -08:00
main.py refactor demos (#398) 2025-02-07 18:45:42 -08:00
README.md refactor demos (#398) 2025-02-07 18:45:42 -08:00
requirements.txt removing model_server python module to brightstaff (function calling) (#615) 2025-11-22 12:55:00 -08:00
run_demo.sh refactor demos (#398) 2025-02-07 18:45:42 -08:00
test_data.yaml refactor demos (#398) 2025-02-07 18:45:42 -08:00
workforce_data.json refactor demos (#398) 2025-02-07 18:45:42 -08:00

README.md

HR Agent Demo

This demo showcases how the Arch can be used to build an HR agent to manage workforce-related inquiries, workforce planning, and communication via Slack. It intelligently routes incoming prompts to the correct targets, providing concise and useful responses tailored for HR and workforce decision-making.

Available Functions:

  • HR Q/A: Handles general Q&A related to insurance policies.

    • Endpoint: /agent/hr_qa

  • Workforce Data Retrieval: Retrieves data related to workforce metrics like headcount, satisfaction, and staffing.

    • Endpoint: /agent/workforce
    • Parameters:
      • staffing_type (str, required): Type of staffing (e.g., contract, fte, agency).
      • region (str, required): Region for which the data is requested (e.g., asia, europe, americas).
      • point_in_time (int, optional): Time point for data retrieval (e.g., 0 days ago, 30 days ago).

  • Initiate Policy: Sends messages to a Slack channel

    • Endpoint: /agent/slack_message
    • Parameters:
      • slack_message (str, required): The message content to be sent

Starting the demo

  1. Please make sure the pre-requisites are installed correctly
  2. Start Arch 
    sh run_demo.sh
  3. Navigate to http://localhost:18080/agent/chat
  4. "Can you give me workforce data for asia?"