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Groq CI/CD Integration Guide

groq-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

Configure robust CI/CD pipelines for Groq API integrations using GitHub Actions. This guide covers setting up unit tests (mocked), live integration tests, and automated model deprecation checks. It ensures that your LLM-powered application remains stable and compatible as models evolve.

Groq API Error Codes and Solutions

groq-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide detailing common Groq API error codes (e.g., 401, 429, 400). It provides root causes, proper fixes, and code examples (Python, TypeScript) for debugging API integrations, ensuring stable operation in development environments.

Groq Chat, Tools, and Structured Output

groq-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to implementing advanced LLM patterns using the Groq API. This workflow demonstrates how to handle chat completions, robust tool/function calling for integrating external services (like weather or search), and enforcing structured data output using JSON mode and strict schemas. Ideal for building real-time, production-grade AI features.

Groq Multimodal Workflow: Audio, Vision, TTS

groq-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive workflow solution for Groq, enabling powerful multimodal tasks beyond simple chat completions. It supports ultra-fast audio transcription (Whisper), detailed image understanding using vision models, and professional text-to-speech generation. Use this for real-time content processing, multimedia analysis, and automated content creation.

Groq Cost Optimization Techniques

groq-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to optimizing Groq API usage and managing inference costs. Learn techniques such as smart model routing (selecting smaller models for simple tasks), minimizing prompt tokens, batching requests to reduce overhead, and implementing caching for deterministic calls. This guide helps developers achieve significant cost savings and improve system efficiency when handling high-volume AI workloads.

Groq Compliant Data Handling Wrapper

groq-data-handling

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive, compliant wrapper for integrating with the Groq API. This module automatically sanitizes input prompts and filters model responses to redact sensitive PII (emails, phone numbers, SSN, etc.). It also tracks detailed token usage and generates robust audit logs, ensuring data privacy and regulatory compliance (GDPR, etc.) in enterprise AI applications.

Groq API Debug and Diagnostic Bundle

groq-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

A tool designed to collect comprehensive diagnostic evidence for troubleshooting issues encountered with the Groq API. It captures environment details, API connectivity status, rate limit information, latency benchmarks, and redacted application logs, making it essential for creating detailed and actionable support tickets.

Groq Deployment Across Cloud Platforms

groq-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Comprehensive guide for deploying applications powered by the Groq inference API. Covers best practices and specific setup instructions for multiple production environments, including Vercel Edge Functions, Google Cloud Run, Docker containers, and other containerized platforms. Essential for setting up robust, low-latency, production-ready AI services.

Implementing Enterprise RBAC for Groq API

groq-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

This guide details how to implement robust, multi-layered Role-Based Access Control (RBAC) for managing LLM API calls to Groq in an enterprise setting. It covers best practices for API key scoping, application-level authorization (model selection, token limits), rate limiting, and detailed spending control mechanisms, ensuring secure and cost-effective usage across multiple teams.

Groq API Chat Completion Guide

groq-hello-world

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to using Groq's high-speed LPU for chat completion. This resource provides code examples in TypeScript and Python, covering basic chat interactions, streaming responses, and advanced multimodal features. Ideal for developers building high-performance, low-latency AI applications using the Groq API.

Groq API Incident Response Runbook

groq-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive runbook guides incident response for Groq API failures. It covers triage steps, severity classification (P1-P4), troubleshooting decision trees (e.g., handling 429 errors or 5xx outages), and implementing immediate mitigations like model fallback or key rotation. Use this when responding to Groq outages to restore service stability.

Setup And Authenticate Groq SDK Client

groq-install-auth

jeremylongshore/claude-code-plugins-plus-skills

This guide provides comprehensive instructions for installing and configuring the official Groq SDK in both Python and TypeScript environments. It covers dependency setup, secure API key management using environment variables, and provides code examples to verify a successful connection to Groq's ultra-fast LLM inference API. Essential for initiating any project powered by Groq.

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