llms.txt Content
# https://console.groq.com llms.txt
- [JigsawStack 🧩](https://console.groq.com/docs/jigsawstack): The JigsawStack 🧩 documentation page provides an overview of the AI SDK, detailing its capabilities in automating tasks such as web scraping, OCR, and translation using Large Language Models (LLMs), as well as its features like the Prompt Engine and built-in safety guardrails. This page serves as a starting point for integrating JigsawStack into existing applications and learning about its key features and setup process.
- [Groq API Reference](https://console.groq.com/docs/api-reference): The Groq API Reference provides detailed information on the available APIs, endpoints, and parameters for interacting with Groq's services, enabling developers to integrate and utilize Groq's capabilities in their applications. This reference guide serves as a comprehensive resource for understanding and using the Groq API to build, deploy, and manage AI-driven solutions.
- [Parallel + Groq: Fast Web Search for Real-Time AI Research](https://console.groq.com/docs/parallel): This documentation page provides a guide on integrating Parallel's real-time web search capabilities with Groq's high-speed inference to build AI research agents that can quickly find and analyze current information. It offers a step-by-step quick start guide, code examples, and advanced use cases for applications such as multi-company comparisons, real-time market data retrieval, and breaking news monitoring.
- [Security Onboarding](https://console.groq.com/docs/production-readiness/security-onboarding): The "Security Onboarding" guide provides best practices and recommendations for securing API keys, client configurations, and integrations when using Groq's API, ensuring a secure and reliable experience. This page outlines shared security responsibilities between Groq and customers, covering key management, transport security, input safety, and incident response.
- [Production-Ready Checklist for Applicatio