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Summary

This pull request adds valuable utility modules for Gemini API integration and improves project documentation across multiple files.

Changes

New Python Utilities (3 files)

  1. prompt_optimizer.py - Gemini prompt optimization and validation

    • PromptOptimizer class for normalizing and validating prompts
    • Methods for prompt quality checking and enhancement
    • Configurable min/max prompt length constraints
  2. response_cache.py - Response caching manager with LRU and TTL

    • ResponseCache class for efficient API response management
    • SHA256-based cache key generation from prompts and models
    • TTL-based automatic cache expiration (configurable, default 24h)
    • Automatic eviction of oldest entries when cache is full
  3. model_config_validator.py - Configuration validation for Gemini models

    • ModelConfig dataclass with type hints and validation
    • ConfigValidator class with comprehensive parameter checks
    • Support for all Gemini models (pro, pro-vision, 1.5-pro, 1.5-flash)
    • Temperature (0-2), top_p (0-1), max_tokens (1-32768) validation

Documentation Improvements (5 files)

  1. README.md - Added helpful comment documenting resource collection purpose
  2. RESOURCES.md - Added Latest Updates section with Gemini 3 Flash highlights
  3. CONTRIBUTING.md - Added Testing AI Models section with best practices
  4. CODE_OF_CONDUCT.md - Added Community Support section
  5. SECURITY.md - Added Data Protection Best Practices

Why These Changes?

  • Utilities: Provide developers with production-ready, reusable components for common Gemini API tasks
  • Documentation: Improve project clarity, contributor guidelines, and community engagement
  • Quality: All code includes comprehensive docstrings, type hints, and follows Python best practices

Testing

  • All utilities can be tested with the provided __main__ sections
  • No external dependencies beyond standard library
  • Suitable for inclusion in educational resources and sample projects

…urpose

Added comment about AI and ML resources.
…ents

Added latest updates section with Gemini 3 Flash and improved API details.
Added guidelines for testing AI models to CONTRIBUTING.md
Added a section on community support to encourage engagement.
Added data protection best practices to the security guidelines.
…n Implements optimization and validation utilities for improving Gemini API prompts. Includes methods for prompt normalization, validation, and quality checking.

This module provides utilities to optimize prompts for better Gemini API responses, including methods for optimizing and validating prompt quality.
…ments LRU cache with TTL for efficient response management. Features SHA256-based key generation, automatic cleanup, and configurable storage.

This class manages an LRU cache for Gemini API responses, allowing for efficient caching and retrieval of responses based on a generated key. It includes methods for setting, getting, clearing the cache, and checking the current cache size.
…ements configuration dataclass and validator for model parameters. Includes support for all Gemini models with comprehensive validation ranges.

This file contains the ModelConfig class for managing and validating model configurations, along with the ConfigValidator class for comprehensive validation.
@purvanshjoshi purvanshjoshi requested a review from a team as a code owner December 18, 2025 15:56
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google-cla bot commented Dec 18, 2025

Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).

View this failed invocation of the CLA check for more information.

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