What it is
The OpenAI Cookbook is a collection of examples and guides for building with the OpenAI API, with most code examples in Python.
Gabriel’s notes
The OpenAI Cookbook is an open-source collection of examples and guides for building with the OpenAI API. Most code examples are written in Python, though the concepts can be applied in any language. This website is automatically generated from OpenAI’s GitHub repository.
Good fit if you want to:
- build, test, or ship software faster (APIs, dev tooling, code assistance).
Pricing snapshot (auto-enriched): Free tier available with 1 GB storage for AgentKit; usage-based pricing primarily based on tokens processed for API calls; additional costs apply for built-in tools and storage; no per-seat pricing; API rate limits and billing details available on the pricing page.
Work-use / compliance snapshot (auto-enriched): The OpenAI Cookbook and related API platform are suitable for workplace use, offering enterprise-grade data ownership and control with no default model training on customer data, configurable data retention including zero retention options, support for SAML SSO and SCIM for user management, and compliance with SOC 2 Type 2, HIPAA (via BAA), GDPR, CCPA, and other major privacy standards.
Alternatives (auto-enriched): Alternative: Hugging Face | Comparison: Hugging Face offers a wide range of open-source models and community contributions, while OpenAI Cookbook focuses on practical usage and integration of OpenAI’s proprietary models.
Note: pricing and policy details can change—verify on the official site before making decisions.