# Using AI/ML API

Follow these steps to connect **AI/ML API** with the **AutoGPT** platform for high-performance AI text generation.

***

## ✅ Prerequisites

1. Make sure you have gone through and completed the [AutoGPT Setup Guide](https://docs.agpt.co/platform/getting-started/), and AutoGPT is running locally at `http://localhost:3000`.
2. You have an **API key** from [AI/ML API](https://aimlapi.com/app/keys?utm_source=autogpt\&utm_medium=github\&utm_campaign=integration).

***

## ⚙️ Setup Steps

### 1. Start AutoGPT Locally

Follow the official guide: [📖 AutoGPT Getting Started Guide](https://docs.agpt.co/platform/getting-started/)

Make sure AutoGPT is running and accessible at: <http://localhost:3000>

> 💡 Keep AutoGPT running in a terminal or Docker throughout the session.

***

### 2. Open the Visual Builder

Open your browser and go to: <http://localhost:3000/build>

Or click **“Build”** in the navigation bar.

***

### 3. Add an AI Text Generator Block

1. Click the **"Blocks"** button on the left sidebar.
2. In the search bar, type `AI Text Generator`.
3. Drag the block into the canvas.

***

### 4. Select an AI/ML API Model

Click the AI Text Generator block to configure it.

In the **LLM Model** dropdown, select one of the supported models from AI/ML API:

| Model ID                                       | Speed  | Reasoning Quality | Best For                 |
| ---------------------------------------------- | ------ | ----------------- | ------------------------ |
| `Qwen/Qwen2.5-72B-Instruct-Turbo`              | Medium | High              | Text-based tasks         |
| `nvidia/llama-3.1-nemotron-70b-instruct`       | Medium | High              | Analytics and reasoning  |
| `meta-llama/Llama-3.3-70B-Instruct-Turbo`      | Low    | Very High         | Complex multi-step tasks |
| `meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo` | Low    | Very High         | Deep reasoning           |
| `meta-llama/Llama-3.2-3B-Instruct-Turbo`       | High   | Medium            | Fast responses           |

> ✅ These models are available via OpenAI-compatible API from [AI/ML API](https://aimlapi.com/app/?utm_source=autogpt\&utm_medium=github\&utm_campaign=integration)

***

### 5. Configure the Prompt and API Key

Inside the **AI Text Generator** block:

1. Enter your prompt text in the **Prompt** field.
2. Enter your **AI/ML API Key** in the designated field.

🔐 You can get your key from: [https://aimlapi.com/app/keys/](https://aimlapi.com/app/keys?utm_source=autogpt\&utm_medium=github\&utm_campaign=integration)

***

### 6. Save Your Agent

Click the **“Save”** button at the top-right of the builder interface:

1. Give your agent a name (e.g., `aimlapi_test_agent`).
2. Click **“Save Agent”** to confirm.

> 💡 Saving allows reuse, scheduling, and chaining in larger workflows.

***

### 7. Run Your Agent

From the workspace:

1. Press **“Run”** next to your saved agent.
2. The request will be sent to the selected AI/ML API model.

***

### 8. View the Output

1. Scroll to the **AI Text Generator** block.
2. Check the **Output** panel below it.
3. You can copy, export, or pass the result to further blocks.

***

## 🔄 Expand Your Agent

Now that AI/ML API is connected, expand your workflow by chaining additional blocks:

* 🔧 **Tools** – fetch URLs, call APIs, scrape data
* 🧠 **Memory** – retain context across interactions
* ⚙️ **Actions / Chains** – create full pipelines

***

🎉 You’re now generating AI responses using enterprise-grade models from **AI/ML API** in **AutoGPT**!