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Add README.md for GitHub Docs Agent sample #76

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# GitHub Docs Agent Sample
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@cristipufu cristipufu Apr 25, 2025

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I've reviewed the addition of the README.md file for the GitHub Docs Agent sample. Here's my detailed feedback:

Overall Assessment

The README.md provides a good foundation for users to understand and get started with the GitHub Docs Agent sample. The structure is clear and the essential information is present.

Strengths

  1. Clear folder structure explanation
  2. Step-by-step setup instructions
  3. Basic usage information
  4. Expected outcomes section
  5. Well-organized sections with proper headings

Suggestions for Improvement

  1. Prerequisites Section

    • Consider adding a "Prerequisites" section listing required software/tools (Python version, Git, etc.)
    • This would help users ensure they have everything needed before starting

  2. Environment Variables

    • In the Setup Instructions section, it would be helpful to list the required environment variables
    • A brief explanation of each variable's purpose would aid configuration

  3. Usage Examples

    • The Usage section could benefit from specific examples
    • Consider adding example GitHub issue formats that the agent responds to
    • Include sample documentation requests and their outcomes

  4. Troubleshooting

    • Consider adding a troubleshooting section with common issues and solutions
    • This would help users resolve typical setup or runtime problems

  5. Advanced Configuration

    • The Additional Information section could be expanded
    • Include examples of common configuration options in pyproject.toml and uipath.json
    • Explain how these configurations affect the agent's behavior

Technical Accuracy

The technical information provided is accurate, including:

  • File paths
  • Command examples
  • Setup steps
  • File structure

Code Style

The markdown formatting is clean and consistent, with:

  • Proper heading hierarchy
  • Well-formatted code blocks with language specification
  • Good use of lists and sections

Conclusion

The README.md is a solid foundation for documenting the GitHub Docs Agent sample. While it provides the essential information for getting started, implementing the suggested improvements would make it even more useful for users of varying experience levels.

The current version is good to merge, as it provides the necessary basic documentation. The suggested improvements could be addressed in follow-up PRs.


This sample demonstrates how to use the GitHub Docs Agent to automate documentation tasks within a GitHub repository. The agent is designed to analyze code and create documentation based on specific user requests.

## Folder Structure

- `.env.example`: Example environment variables file.
- `agent.mermaid`: Diagram file for visualizing the agent's workflow.
- `langgraph.json`: Configuration file for language graph settings.
- `main.py`: Main script containing the agent's logic.
- `pyproject.toml`: Python project configuration file.
- `uipath.json`: Configuration file for UiPath settings.
- `uv.lock`: Lock file for dependencies.

## Setup Instructions

1. **Clone the Repository**: Clone the `uipath-mcp-python` repository to your local machine.

```bash
git clone https://github.com/UiPath/uipath-mcp-python.git
```

2. **Navigate to the Sample Directory**: Change your working directory to the `github-docs-agent` sample.

```bash
cd uipath-mcp-python/samples/github-docs-agent
```

3. **Install Dependencies**: Use the following command to install the necessary Python dependencies.

```bash
pip install -r requirements.txt
```

4. **Configure Environment Variables**: Copy the `.env.example` to `.env` and fill in the required environment variables.

```bash
cp .env.example .env
```

5. **Run the Agent**: Execute the main script to start the agent.

```bash
python main.py
```

## Usage

The GitHub Docs Agent listens for specific documentation requests in GitHub issues and automatically generates the required documentation. It uses the `main.py` script to process these requests and update the repository accordingly.

## Expected Outcomes

- Automated documentation generation based on GitHub issues.
- Updated documentation files within the repository.
- Improved documentation consistency and quality.

## Additional Information

For more details on configuring and extending the agent, refer to the `pyproject.toml` and `uipath.json` files.