A collection of pragmatic, real-world examples demonstrating the use of xAI's Grok APIs. This resource guides users from basic to advanced applications, enabling practical and powerful integrations with the xAI ecosystem.

How It Works

The project provides a set of Jupyter notebooks showcasing practical applications of xAI's Grok APIs. Users can run these notebooks locally after setting up their environment and obtaining an API key from the xAI Console. The notebooks are designed to be followed even without local execution, as cell outputs are preserved.

Quick Start & Requirements

• Primary install/run command: Use uv for dependency management (uv sync, uv run jupyter notebook examples/).
• Prerequisites: uv (Python dependency manager), git lfs (for large files), and an xAI API key obtained from the xAI Console.
• Setup: Clone the repository, install dependencies with uv sync, configure Git LFS (git lfs install), copy .env.example to .env and add your API key.
• Links: xAI Console for API keys.

Highlighted Details

• Utilizes Git LFS to manage large data files integral to some examples.
• Includes pre-commit hooks with Gitleaks to prevent accidental API key commits.
• Features a pre-commit hook to verify end-to-end notebook execution.
• Emphasizes API key security through .env files and Gitleaks.

Maintenance & Community

No specific details regarding maintainers, community channels (like Discord/Slack), or roadmap were found in the provided README snippet.

Licensing & Compatibility

The license type and compatibility notes for commercial use are not specified in the provided README content.

Limitations & Caveats

Running notebooks requires an xAI API key, which may incur costs depending on usage. Pre-commit hooks can be bypassed during development to conserve API credits, but are recommended before submission. Accidental API key commits necessitate immediate revocation and regeneration.