[SC 10123 ] Support qualitative text generation

[AnilSorathiya]

Pull Request Description

Qualitative text generation using the LLM is currently available only through the UI.

What

Added new task type called qualitative_text_generation in the vm.experimental.agents.run_task.

Why

Qualitative text generation using the LLM is currently available only through the UI. This change will allow generate qualitative section from ValidMind library.

How to Test

result = vm.experimental.agents.run_task(
    task="qualitative_text_generation",
    input={
        "content_id": "model_overview",
    }
)
result.log(content_id="model_overview")

where, task type is qualitative_text_generation. This will generate text through LLM functionality.

Pull Request Dependencies

https://github.com/validmind/backend/pull/1444

External Release Notes

Qualitative text generation using the LLM is currently available only through the UI. This change provide interfaces to generate text for a specific section of document using the vm.experimental.agents.run_task method.

Deployment Notes

Breaking Changes

Screenshots/Videos (Frontend Only)

The content will be generated using the code above and it will visible in the model_overview text block section.

Checklist

• PR body describes what, why, and how to test
• Release notes written
• Deployment notes written
• Breaking changes identified
• Labels applied
• PR linked to Shortcut
• Screenshots/videos added (Frontend)
• Unit tests added (Backend)
• Tested locally
• Documentation updated (if required)

Areas Needing Special Review

Additional Notes

[github-actions]

PR Summary

This pull request enhances the run_task function in the validmind/experimental/agents.py file to support a new task type: qualitative_text_generation. Previously, the function only supported the code_explainer task. The change involves modifying the conditional check to include qualitative_text_generation and dynamically constructing the API endpoint URL based on the task type. This allows the function to handle requests for both code_explainer and qualitative_text_generation tasks by sending a POST request to the appropriate endpoint.

Test Suggestions

• Test the run_task function with the code_explainer task to ensure existing functionality is not broken.
• Test the run_task function with the qualitative_text_generation task to verify the new functionality works as expected.
• Test the run_task function with an unsupported task to ensure it raises a ValueError.
• Simulate a network failure and test if the function raises a requests.exceptions.RequestException.

[github-actions]

PR Summary

This pull request enhances the run_task function in the validmind/experimental/agents.py module to support a new task type: qualitative_text_generation. Previously, the function only supported the code_explainer task. The change involves modifying the conditional check to include qualitative_text_generation and dynamically constructing the API endpoint URL based on the task type. This allows the function to handle requests for both code_explainer and qualitative_text_generation tasks by sending a POST request to the appropriate endpoint.

Test Suggestions

• Test run_task with task set to code_explainer to ensure existing functionality is not broken.
• Test run_task with task set to qualitative_text_generation to verify the new functionality works as expected.
• Test run_task with an unsupported task to ensure it raises a ValueError.
• Simulate a network failure and ensure run_task raises a requests.exceptions.RequestException.

[github-actions]

PR Summary

This pull request enhances the run_task function in the validmind/experimental/agents.py module to support a new task type: qualitative_text_generation. Previously, the function only supported the code_explainer task. The change involves modifying the conditional check to include qualitative_text_generation and dynamically constructing the API endpoint URL based on the task type. This allows the function to handle requests for both code_explainer and qualitative_text_generation tasks by sending a POST request to the appropriate endpoint.

Test Suggestions

• Test run_task with task set to code_explainer to ensure existing functionality is not broken.
• Test run_task with task set to qualitative_text_generation to verify the new functionality works as expected.
• Test run_task with an unsupported task to ensure it raises a ValueError.
• Simulate a network failure and ensure run_task raises a requests.exceptions.RequestException.

[cachafla]

👌