Perplexity CLI

GCP Cost MCP Server

💰 An MCP server that enables AI assistants to estimate Google Cloud costs, powered by Cloud Billing Catalog API and built with Genkit for Go

internal AI

internal AI is an OSS project that enables building generative AI chat applications for use within specific organizations.

Genkit AWS Lambda Bedrock

This project demonstrates how to build an AI-powered serverless application by integrating Genkit with AWS Lambda and Amazon Bedrock. It provides a practical example of deploying generative AI flows to a scalable cloud environment, enabling dynamic content generation through simple API calls. ## Key Features - **Story Generation** — Creates narratives based on user-provided topics, styles, and length preferences. - **Joke Generation** — Produces humorous content on specified subjects. - **Streaming Support** — Includes a streaming handler for real-time joke delivery via Lambda Function URLs. - **Local Development** — Offers tools like Serverless Offline and the Genkit Developer UI for testing and debugging flows locally. - **Seamless Deployment** — Utilizes the Serverless Framework for easy deployment to AWS with configurable stages and regions. - **onCallGenkit Helper** — Leverages a dedicated helper to automatically wrap Genkit flows as Lambda handlers, handling CORS, request parsing, and error formatting. ## Philosophy The project emphasizes simplicity and practicality, providing a ready-to-use template that abstracts the complexities of integrating Genkit with AWS serverless infrastructure. It aims to accelerate development by offering a clear pattern for deploying AI-powered applications to the cloud.

Genkit Azure Function AI Foundry

This project provides a working example of deploying AI-powered generation flows as serverless Azure Functions using the Genkit framework and the Azure OpenAI plugin. It showcases how to build, test, and deploy scalable AI applications on Azure's serverless platform. ## Key Features - **Azure Functions Integration** — Uses the `onCallGenkit` helper to seamlessly expose Genkit flows as HTTP-triggered Azure Functions. - **Multiple Flow Examples** — Includes sample flows for story generation, joke creation, text summarization, and streaming responses. - **Local Development Tools** — Supports testing with both the Azure Functions Core Tools runtime and the Genkit Developer UI for debugging. - **Production Deployment** — Provides scripts and guidance for deploying to Azure with remote build and environment configuration. - **Authentication & Security** — Demonstrates API key authentication for protected endpoints and includes optional Azure Managed Identity setup. ## Philosophy The project emphasizes a practical, production-ready approach to integrating modern AI generation capabilities into serverless cloud functions, focusing on developer experience and deployment best practices.