How to Set Up HTTP/WebSocket Integration with the ASI Biont AI Agent: From API Key to Business Automation

Every day thousands of companies use HTTP and WebSocket to exchange data between devices and servers. But to integrate these protocols with AI agents, one usually has to write code, configure servers, and debug connections for hours. What if I told you that now this can be done with a simple dialogue with an AI in a chat? Meet ASI Biont — an AI agent that writes integration code for any API by itself. Today we'll look at how to connect HTTP/WebSocket and automate routine tasks.

What are HTTP and WebSocket

HTTP (HyperText Transfer Protocol) is a request-response protocol. The client sends a request, the server responds. It underlies the web and most APIs. WebSocket is a protocol that establishes a persistent two-way connection between client and server, allowing real-time data exchange. For example, for chats, stock quotes, or smart home control. The specifications of these protocols — RFC 7230 and RFC 6455 — define their behavior, and it is on these that the AI agent relies when writing code.

For the AI agent, these protocols are a way to interact with the world: send commands to devices, get data from sensors, and call external APIs.

Why connect HTTP/WebSocket to an AI agent

Imagine you have an online store. The HTTP API allows you to receive orders, update prices, and check delivery statuses. WebSocket lets you update your cart in real time. By connecting these protocols to an AI agent, you automate routine tasks: it will check orders, respond to clients, and manage the warehouse by itself.

Use cases

1. Smart home: The AI agent controls temperature, lights, and security through a WebSocket connection to the hub.
2. Server monitoring: The agent sends an HTTP request to your server every minute and if it detects a failure, sends a notification to Telegram.
3. Webhook processing: A WebSocket or HTTP endpoint receives events from external services (payments, registrations) and the AI agent processes them immediately.
4. Marketing automation: When a new lead arrives via the HTTP API, the agent adds it to your CRM and starts an email sequence.

How integration works in ASI Biont

Unlike traditional integration builders, where you need to click buttons and fill in fields, we made it simpler. You just provide an API key from the service directly in the chat with the AI agent. ASI Biont itself studies the API documentation, writes, and tests the integration code. You don't have to wait for developers to add support for a new service — anything with an API can be connected.

No control panels or "add integration" buttons — the whole process happens in a dialogue. You write: "Connect my WebSocket socket and send me a notification for every event," provide the key — and the agent does it.

Example: Connecting WebSocket for smart home control

Suppose you have a WebSocket server that accepts commands to turn lights on and off. The AI agent should, upon your message "Turn on the light in the living room," send the command.

You write in the chat:

"Connect to my WebSocket server ws://192.168.1.100:8080, each device has an ID. When I say 'turn on the light in the living room' — send the message {"action":"on","device":"living_room"}"

The AI agent will write code in Python (or another language) using the websockets library, establish the connection, and process your commands. Here's what the generated code could look like:

import asyncio
import websockets
from ai_agent import BiontClient

async def listen():
    async with websockets.connect('ws://192.168.1.100:8080') as ws:
        # BiontClient processes user messages
        client = BiontClient()
        while True:
            user_message = await client.get_message()
            if 'light' in user_message.lower():
                if 'turn on' in user_message.lower():
                    await ws.send('{"action":"on","device":"living_room"}')
                elif 'turn off' in user_message.lower():
                    await ws.send('{"action":"off","device":"living_room"}')

asyncio.run(listen())

You simply explain in words what needs to be done, and the agent turns it into working code.

Example with HTTP API: automating work with CRM

Often you need to get data from an external system. For example, your online store sends orders to the endpoint https://api.example.com/orders (HTTP POST). The AI agent can check for new orders every minute, create deals in your CRM, and send the client an email.

You say: "Poll the API every minute, output new orders to the chat, and add them to the table." ASI Biont will request a token, write code, run it in the background, and send you reports.

Time and money savings

Previously, developing an integration with a single service took from several days to a week. You had to study documentation, write code, test, and debug. With ASI Biont, it's done in 10–15 minutes of dialogue. We see real examples of our clients saving hours a month just on setting up integrations.

In addition, you don't need to maintain a team of developers for every new connection. The AI agent handles it alone, and instead of writing code, you focus on business.

Security and control

You provide only the keys needed for the specific integration. ASI Biont runs in an isolated environment; the code runs in a sandbox and has access only to the specified resources. After completing the integration, you can revoke the key in the service settings.

Conclusion

Integration with HTTP/WebSocket is not only about "smart home." It's about automating any process, from collecting analytics to managing infrastructure. ASI Biont lets you connect any API through a dialogue, without a single line of code written by hand. Try it yourself at asibiont.com — just open the chat and describe what you need to connect.