# groq/groq-api-cookbook

groq-api-cookbook

Repository: https://github.com/groq/groq-api-cookbook
Canonical: https://ross.abutalabs.com/products/groq-api-cookbook
Homepage: https://console.groq.com
Language: Jupyter Notebook
License Family: other
Topics: managed-by-terraform
Last push: 2026-08-18T18:55:08+00:00

## Health v2 (maintenance only)
Score: 69/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 63
- inputs: {"age_days": 891, "days_push": 15, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1418, forks 299 (observed 2026-08-28T04:04:40.186144+00:00)

## What it is
A collection of tutorials, sample code, and guidelines for building applications with the Groq API, maintained as Jupyter Notebook examples. It covers quickstarts, chatbots, function calling, MCP integrations, batch processing, and other LLM application patterns.

## Use cases
- learn how to use the groq api
- build a chatbot with llm inference
- examples of function calling with llms
- connect llm agents to mcp servers
- convert natural language to sql with an llm
- process llm requests in batch asynchronously
- get started with groqcloud tutorials

## When to choose
- you are building on the Groq API and want working example code
- you want to learn function calling, tool use, or MCP integration patterns
- you need quickstart notebooks for chatbots and LLM apps

## When to avoid
- you need a production SDK or library rather than example notebooks
- you use a different LLM provider with no OpenAI-compatible endpoint
- you need licensed, redistributable code - the repo has no license

## Facets
- artifact type: learning-resource
- maturity: active
- function: llm-inference, agent-framework, mcp, prompt-engineering, rag, chatbot
- domain: large-language-models, artificial-intelligence, tutorials, developer-tools
- platform: python, cross-platform
- tags: cookbook, jupyter-notebooks, groq-api, function-calling, tutorials, sample-code, openai-compatible, ai-agents, nodejs

## Member repositories
- groq/groq-api-cookbook (main) score 69

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:40.186144+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 2026-08-30T04:37:57.445122+00:00, confidence not recorded.
  - readme: https://github.com/groq/groq-api-cookbook (fetched 2026-08-28T04:04:40.186144+00:00, sha 39226ed4e3db)
  - homepage: https://console.groq.com (fetched 2026-08-29T11:50:34.935512+00:00, sha 7bda194d6c4f)
  - site_page: https://console.groq.com/docs (fetched 2026-08-29T11:50:34.940305+00:00, sha 6bd32f4e3449)
  - site_page: https://console.groq.com/docs/legal/services-agreement (fetched 2026-08-29T11:50:34.942487+00:00, sha 3ff81de4cad6)
  - site_page: https://console.groq.com/docs/quickstart (fetched 2026-08-29T11:50:34.946501+00:00, sha 29ae6824c2f0)
  - site_page: https://console.groq.com/docs/models (fetched 2026-08-29T11:50:34.948523+00:00, sha 98aa48bc34d4)
  - site_page: https://console.groq.com/docs/api-reference (fetched 2026-08-29T11:50:34.950892+00:00, sha 4971bb6ca24f)
  - site_page: https://console.groq.com/docs/rate-limits (fetched 2026-08-29T11:50:34.954789+00:00, sha c5d596be0ae4)
  - site_page: https://console.groq.com/docs/integrations (fetched 2026-08-29T11:50:34.957844+00:00, sha 20adc1d387b9)
  - site_page: https://console.groq.com/docs/overview (fetched 2026-08-29T11:50:34.937994+00:00, sha 4cd054fbc272)
- Data as of 2026-08-30T08:39:29.467469+00:00.