PR Summary

This pull request introduces a new experimental feature for text generation tasks within the ValidMind project. The key changes include:

1. Experimental Agent for Text Generation:

   • A new module validmind/experimental/agents.py is added, which provides an interface for running text generation tasks using AI models.
   • The run_task function is introduced to handle text generation tasks, specifically supporting a 'code_explainer' task that generates natural language explanations of code.
   • The function makes an API call to the endpoint ai/generate/code_explainer and processes the response to generate a TextGenerationResult.

2. TextGenerationResult Class:

   • A new class TextGenerationResult is added to validmind/vm_models/result/result.py.
   • This class extends the Result class and is designed to encapsulate the results of text generation tasks, including attributes like name, ref_id, title, doc, description, params, and metadata.
   • It includes methods for serialization, logging, and rendering the result as a widget.

3. Integration and Refactoring:

   • The validmind/__init__.py file is updated to include the new experimental agent.
   • The __all__ list in validmind/vm_models/result/__init__.py is updated to export the TextGenerationResult class.
   • Minor refactoring in the Result class to include a result_type attribute and additional parameters in the log and log_async methods.

These changes aim to enhance the functionality of the ValidMind project by providing a framework for experimental text generation tasks.

Test Suggestions

• Test the run_task function with a valid 'code_explainer' task and verify that it returns a TextGenerationResult with the expected content.
• Test the run_task function with an invalid task type and ensure it raises a ValueError.
• Simulate an API failure in the run_task function and verify that a requests.exceptions.RequestException is raised.
• Test the TextGenerationResult class for correct initialization and attribute setting.
• Verify the serialization and logging functionality of the TextGenerationResult class.
• Ensure that the description attribute in TextGenerationResult is correctly lazy-loaded when it is a DescriptionFuture.