This quickstart guide will walk you through building a local travel guide application. In just 5 minutes, you'll be able to build the application and deploy it to the cloud. You can ask simple questions like: - Create an itinerary for a weekend trip to Los Angeles. - Plan a 4-day trip to San Francisco. - Plan a trip to New York from January 20th to January 24th. - What to do in Phoenix this weekend? ## Step-by-Step Guide

### Install AgentifyMe CLI First, install the AgentifyMe CLI, which provides the tools for local development and deployment: ```bash curl -LsSf https://agentifyme.ai/install.sh | bash ``` The installation script will place the CLI in `~/.agentifyme/bin/agentifyme`. Add this location to your PATH and verify the installation: ```bash agentifyme --version ``` Log in to your AgentifyMe account, if you don't have an account, you can sign up for one [here](https://auth.agentifyme.ai/en/signup): ```bash agentifyme login ```

### Create a New Project Let's create a new directory for the project. ```bash mkdir my-local-travel-guide && cd my-local-travel-guide ``` Create a project using our [quickstart template](https://github.com/agentifyme/quickstart-template): ```bash agentifyme init my-local-travel-guide --template agentifyme/local-travel-guide-py ``` This command creates a new directory containing all necessary project files. Take some time to explore the generated code structure.

### Set Up Local Development In this tutorial, we'll use the OpenAI to generate responses. First, configure your OpenAI API key: ```bash cp .env.example .env echo "OPENAI_API_KEY=sk-..." >> .env ``` Visit `http://localhost:3418` in your browser to see your development environment. Run the workflow in development mode: ```bash agentifyme dev ```

### Deploy to the Cloud Before deploying, securely store your OpenAI API key: ```bash agentifyme secret set -p .env ``` Deploy your workflow to create a live API endpoint: ```bash agentifyme deploy ```

### Invoke Your Workflow ``` curl --location 'http://localhost:34186/v1/workflows/run' \ --header 'x-wf-endpoint: my-local-travel-guide-0fc8e6bd' \ --header 'Content-Type: application/json' \ --header 'X-API-KEY: ' \ --data '{ "name": "search-candidates", "parameters": { "query": "What to do in Monterey this weekend?", "organization_id": "272e9e73-fe36-4ea1-acf6-4ea08d21aa0c", "filters": {} } }' ```

### Monitor Your Workflow [This section needs content about accessing and using the monitoring dashboard, including key metrics and debugging tools]

## Congratulations! 🎉 You've successfully created and deployed your first agentic workflow! Your workflow is now running in the cloud and ready to use. ## Next Steps To continue your journey with AgentifyMe: - Read the [Concepts](/docs/documentation/concepts) - Discover the features of AgentifyMe in the [Tour of AgentifyMe](/docs/documentation/getting-started/tour) - Explore the [Templates](/docs/documentation/templates) - Learn how to [Deploy](/docs/documentation/getting-started/deploy) your workflow to the cloud - Learn how to [Invoke](/docs/documentation/getting-started/invoke) your workflow - Learn more about our [Studio](/docs/documentation/studio)

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Useful CLI Commands