# openai/openai-cookbook

Examples and guides for using the OpenAI API

Repository: https://github.com/openai/openai-cookbook
Canonical: https://ross.abutalabs.com/products/openai-cookbook
Homepage: https://cookbook.openai.com
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: openai, chatgpt, gpt-4, openai-api
Last push: 2026-08-26T23:24:07+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 1637, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 75571, forks 12771 (observed 2026-08-28T04:12:21.545348+00:00)

## What it is
The OpenAI Cookbook is a collection of example code and guides for accomplishing common tasks with the OpenAI API, primarily written as Python Jupyter notebooks. It is actively maintained by OpenAI and browsable at cookbook.openai.com.

## Use cases
- learn how to call the OpenAI API from Python
- build a RAG pipeline with embeddings
- fine-tune GPT models on custom data
- implement prompt engineering best practices
- build agents with the OpenAI Agents SDK
- count tokens and manage conversation state
- work with structured outputs and function calling
- generate images and process audio with the API

## When to choose
- you are building on the OpenAI API and want working example code
- you need practical recipes for embeddings, RAG, agents, or fine-tuning
- you want up-to-date guidance maintained by OpenAI itself

## When to avoid
- you use a different LLM provider with an incompatible API
- you need official reference documentation rather than examples
- you want a production-ready library rather than notebook examples

## Facets
- artifact type: learning-resource
- maturity: active
- function: sdk, prompt-engineering, rag, agent-framework, developer-tools
- domain: large-language-models, artificial-intelligence, tutorials, developer-tools
- platform: python, cross-platform
- tags: openai-api, jupyter-notebooks, examples, guides, cookbook, gpt, embeddings, fine-tuning, ai-agents

## Member repositories
- openai/openai-cookbook (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:21.545348+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:14:42.299370+00:00, confidence not recorded.
  - readme: https://github.com/openai/openai-cookbook (fetched 2026-08-28T04:12:21.545348+00:00, sha ed596b962642)
  - homepage: https://cookbook.openai.com (fetched 2026-08-28T17:44:57.720655+00:00, sha ca032a6c30c4)
  - site_page: https://developers.openai.com/api/docs/concepts (fetched 2026-08-28T17:44:57.739935+00:00, sha 5a2307fd86de)
  - site_page: https://developers.openai.com/api/docs/guides/migrate-to-responses (fetched 2026-08-28T17:44:57.741805+00:00, sha e498365c21ab)
  - site_page: https://developers.openai.com/api/docs/guides/conversation-state (fetched 2026-08-28T17:44:57.744093+00:00, sha 214f79ed6951)
  - site_page: https://developers.openai.com/api/docs (fetched 2026-08-28T17:44:57.729642+00:00, sha c09fff69e325)
  - site_page: https://developers.openai.com/api/docs/quickstart (fetched 2026-08-28T17:44:57.735493+00:00, sha f56f19c84be8)
  - site_page: https://developers.openai.com/api/docs/guides/latest-model (fetched 2026-08-28T17:44:57.737619+00:00, sha ce8b36e433ab)
  - site_page: https://developers.openai.com/codex (fetched 2026-08-28T17:44:57.731664+00:00, sha 4d652ef7480e)
  - site_page: https://developers.openai.com/learn (fetched 2026-08-28T17:44:57.733596+00:00, sha f02610afba8f)
- Data as of 2026-08-30T08:39:29.467469+00:00.