AI Customer Support Agent for LiveAgent
This workflow automates customer support for your company by integrating LiveAgent conversations, extracting relevant conversation data, generating responses us...
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API Request
The API Request component lets you connect your flows to external APIs by sending customizable HTTP requests and handling responses.
API
Integration
Webhooks
Automation
Component description
How the API Request component works
The API Request component is a versatile tool designed to facilitate HTTP requests within your AI workflows. It enables your workflow to interact with external APIs or web services by sending requests to one or more URLs and processing the responses. This capability is essential for tasks such as data retrieval, integration with third-party services, or invoking custom endpoints as part of automated or intelligent processes.
What Does the Component Do?
This component allows you to configure and send HTTP requests (GET, POST, PATCH, PUT) to specified URLs. You can customize the request by adding headers, query parameters, and a request body. It also supports handling form data and setting custom timeouts, making it suitable for a wide range of API interactions.
Inputs
The API Request component supports the following configurable inputs:
| Field | Description | Type | Default/Options |
|---|---|---|---|
| URL | Enter one or more target URLs, separated by commas. | String | |
| Method | HTTP method to use for the request. | Dropdown | GET, POST, PATCH, PUT |
| Headers | Custom headers to include in the request (as a dictionary). | Dictionary/Data | |
| Body | Data payload for POST, PATCH, or PUT requests (as a dictionary). | Dictionary/Data | |
| Query Parameters | Key-value pairs to append as URL query parameters. | Dictionary/Data | |
| Use Form Data | Toggle to send data as application/x-www-form-urlencoded. | Boolean | false |
| Timeout | Time (in seconds) before the request times out. | Integer | 5 |
| Cache TTL | How long to cache the API response. Set to ‘No cache’ to disable. | Dropdown | No cache, 5 min, … etc. |
| Verbose | If enabled, prints verbose output for debugging. | Boolean | false |
| Tool Name | Name for this API request tool (for use by agents). | String | |
| Tool Description | Description to help agents understand how to use this tool. | String (multiline) |
Outputs
The component produces two main outputs:
| Output Name | Type | Description |
|---|---|---|
| Data | Data | The response data from the API request. |
| Tool | Tool | Makes this API request available as a “tool” for agent-based workflows. |
Why Use This Component?
- Integration: Connect your AI workflow to any external API or web service, making it easy to augment your processes with new data or actions.
- Flexibility: Supports multiple HTTP methods, custom headers, bodies, and query parameters—suitable for simple and complex API calls alike.
- Caching: Optionally caches responses to improve performance and reduce redundant API calls.
- Form Data Support: Easily submit form-encoded data for compatible endpoints.
- Agent-Friendly: Define tool names and descriptions so the component can be used as a tool by agent-based AI workflows.
Example Use Cases
- Retrieve real-time data (e.g., weather, news, finance) from public APIs.
- Submit information to a third-party service (e.g., CRM, ticketing system).
- Integrate with custom backend endpoints for data processing or workflow automation.
- Enable LLM agents to call external APIs as part of their reasoning or task execution.
Summary
The API Request component is an essential building block for any AI process that needs to interact with web services or external data sources. It offers a comprehensive set of configuration options to handle a wide variety of HTTP request scenarios, and its outputs can be used directly or made available as a tool for agent-based AI workflows.
Examples of flow templates using API Request component
To help you get started quickly, we have prepared several example flow templates that demonstrate how to use the API Request component effectively. These templates showcase different use cases and best practices, making it easier for you to understand and implement the component in your own projects.
AI Customer Support Agent with Knowledge Base and API Enrichment
This AI-powered workflow automates customer support by combining internal knowledge base search, Google Docs knowledge retrieval, API integration, and advanced ...
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AI Customer Support Agent With LiveAgent API Integration
This AI-powered workflow automates customer support by connecting user queries to company knowledge sources, external APIs (such as LiveAgent), and a language m...
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Hacker News Top Stories AI Curator
An automated AI-powered workflow to fetch, summarize, and present the top Hacker News stories, including story details, URLs, and top comments. Users can intera...
5 min read
IP Lookup Chatbot with Real-Time Location Details
This AI-powered chatbot instantly provides detailed information about any IP address, including city, country, timezone, and ISP, by leveraging live data from a...
3 min read
YouTube Video Download Links Generator
Easily generate multiple format download links (MP4, audio, HD, etc.) for any YouTube video using a simple chat interface. The workflow collects a YouTube link,...
4 min read
Frequently asked questions
- What does the API Request component do?
The API Request component enables your flow to send HTTP requests (GET, POST, PATCH, PUT) to one or more URLs, letting you connect with any external API or web service.
- Can I customize the headers and body of my API requests?
Yes, you can add custom headers and body content to suit your target API. Both can be set using data inputs or dictionaries.
- Does it support query parameters and different HTTP methods?
Absolutely. You can append query parameters to your URL and choose from various HTTP methods, including GET, POST, PATCH, and PUT.
- Can I cache API responses?
Yes, you can configure how long API responses should be cached, or disable caching entirely, offering control over data freshness and performance.
- Is this component suitable for integrating with third-party tools?
Yes, it's designed for seamless integration with virtually any third-party service that exposes an API, making it a core component for automation and advanced workflows.
Connect Flows to Any API
Start adding real-time data, third-party services, or custom integrations to your flows using API Request.
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