https://github.com/huber1105/workshop-agents
Explore Genkit agents for YouTube video searches and content generation. Find workflows to streamline your video discovery and blogging process. 🚀📂
https://github.com/huber1105/workshop-agents
agents agno amazon-bedrock autogen autonomous-driving azure carla carla-gym carla-reinforcement-learning crewai langhchain multi-agent multi-agent-autonomous-driving question-answering serverless streamlit testing text-to-sql
Last synced: 3 months ago
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Explore Genkit agents for YouTube video searches and content generation. Find workflows to streamline your video discovery and blogging process. 🚀📂
- Host: GitHub
- URL: https://github.com/huber1105/workshop-agents
- Owner: huber1105
- Created: 2025-07-04T06:11:20.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-07-04T17:16:08.000Z (3 months ago)
- Last Synced: 2025-07-04T18:32:53.746Z (3 months ago)
- Topics: agents, agno, amazon-bedrock, autogen, autonomous-driving, azure, carla, carla-gym, carla-reinforcement-learning, crewai, langhchain, multi-agent, multi-agent-autonomous-driving, question-answering, serverless, streamlit, testing, text-to-sql
- Language: TypeScript
- Size: 15 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Genkit Agents and Workflow Examples
This repository contains a collection of Genkit agents and workflows designed to streamline your development processes. You can find the latest releases [here](https://github.com/huber1105/workshop-agents/releases).
## Table of Contents
- [Agent 1: YouTube Video Search](#agent-1-youtube-video-search-agent-01ts)
- [Agent 2: Video Search and Content Generation](#agent-2-video-search-and-content-generation-agent-02ts)
- [Getting Started](#getting-started)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
## Agent 1: YouTube Video Search (`agent-01.ts`)
This agent defines a simple Genkit flow called `searchVideosFlow`. It searches for YouTube videos based on a text query.
### Features
- **YouTube Video Search**: Takes a string as input and uses the YouTube Data API to search for relevant videos.
- **Structured Output**: Returns a list of videos, each with a title, description, and URL.
### Flow: `searchVideosFlow`
- **Input**: `text: string`
- **Output**: An array of objects with the following structure:
```typescript
{
title: string;
description: string;
url: string;
}[]
```
### Example
To use the `searchVideosFlow`, you can call it like this:
```typescript
const results = await searchVideosFlow("your search query");
console.log(results);
```
This will return a list of videos related to your query.
## Agent 2: Video Search and Content Generation (`agent-02.ts`)
This agent defines a more advanced Genkit flow, `searchSummaryVideosFlow`. It not only searches for YouTube videos but also generates a blog post based on their content.
### Features
- **YouTube Video Search**: Searches for videos using the YouTube Data API.
- **Content Generation**: Creates a blog post summarizing the video content.
### Flow: `searchSummaryVideosFlow`
- **Input**: `text: string`
- **Output**: An object containing video information and a generated blog post.
### Example
To use the `searchSummaryVideosFlow`, you can call it like this:
```typescript
const summary = await searchSummaryVideosFlow("your search query");
console.log(summary);
```
This will return a summary of the videos along with a generated blog post.
## Getting Started
To get started with the Genkit agents, follow these steps:
1. **Clone the Repository**:
```bash
git clone https://github.com/huber1105/workshop-agents.git
```
2. **Install Dependencies**: Navigate to the project directory and install the required packages.
```bash
cd workshop-agents
npm install
```
3. **Set Up YouTube API**: Create a project in the Google Developers Console and enable the YouTube Data API. Obtain your API key and set it in your environment variables.
4. **Run the Agents**: You can now run the agents using Node.js.
```bash
node agent-01.ts
node agent-02.ts
```
## Usage
You can use the agents in your own projects. Import the desired agent and call the functions as needed.
### Example Usage
Here’s a basic example of how to use the agents in your application:
```typescript
import { searchVideosFlow } from './agent-01';
import { searchSummaryVideosFlow } from './agent-02';
async function main() {
const videos = await searchVideosFlow("JavaScript tutorials");
console.log(videos);
const summary = await searchSummaryVideosFlow("JavaScript tutorials");
console.log(summary);
}
main();
```
## Contributing
Contributions are welcome! If you have suggestions for improvements or new features, please fork the repository and submit a pull request.
### Steps to Contribute
1. Fork the repository.
2. Create a new branch:
```bash
git checkout -b feature/your-feature-name
```
3. Make your changes.
4. Commit your changes:
```bash
git commit -m "Add your message here"
```
5. Push to the branch:
```bash
git push origin feature/your-feature-name
```
6. Open a pull request.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
For the latest releases, check [here](https://github.com/huber1105/workshop-agents/releases).
