semvec/pypi-packages huggingface dataset:
ReactInsightExplorer 2025.12.19193827
A new package designed to facilitate the exploration and analysis of React Server Components by accepting descriptive prompts or questions about their structure, behavior, and best practices, then usi
License: MIT
Requires Python: >=3.9

# React Insight Explorer

React Insight Explorer is a powerful package designed to facilitate the exploration and analysis of React Server Components. It enables developers to inquire about their structure, behavior, and best practices through descriptive prompts or questions. By providing structured and validated responses, it helps streamline understanding, troubleshooting, and informed decision-making about React Server Components.

## Features
- Accepts descriptive prompts or questions regarding React Server Components.
- Utilizes structured response matching for consistency and accuracy.
- Integrates seamlessly with large language models to provide detailed insights.
- Supports customization with user-provided API keys or existing language model objects.

## Installation
To install React Insight Explorer, clone the repository or include it in your project’s dependencies.

```bash
pip install .
```

## Usage
Import the main function and invoke it with your prompt to analyze React Server Components.

```python
from ReactInsightExplorer import ReactInsightExplorer

# Example user prompt
user_prompt = "Explain how React Server Components manage state and data fetching."

# Call the explorer with the prompt
response = ReactInsightExplorer(user_prompt)

# Display the insights
for item in response:
    print(item)
```

## Functions

### ReactInsightExplorer
```python
def ReactInsightExplorer(
    user_input: str,
    api_key: Optional[str] = None,
    llm: Optional[BaseChatModel] = None
) -> List[str]:
```
*Processes the user's prompt or question regarding React Server Components by interacting with a language model, returning validated insights as a list of strings.*

- `user_input`: The descriptive prompt or question about React Server Components.
- `api_key`: Optional API key for the language model; if not provided, it looks for the environment variable `LLM7_API_KEY`.
- `llm`: Optional custom language model instance; if not provided, defaults to using `ChatLLM7`.

### Example
```python
from ReactInsightExplorer import ReactInsightExplorer

response = ReactInsightExplorer("What are the best practices for optimizing React Server Components?")
for item in response:
    print(item)
```

## Dependencies
- `os`
- `typing`
- `llmatch_messages`
- `langchain_core`
- `langchain_llm7`
- Local module `.prompts`

Ensure all dependencies are installed and available in your environment before use.

## License
This project is licensed under the MIT License. See the LICENSE file for details.

## Support
For questions or issues, please open an issue in the GitHub repository or contact the maintainer.

---  
*Note: This package is intended for developers familiar with React, server components, and language model integrations.*