Getting Started with ASI-1 Mini

This guide will walk you through the process of setting up and making your first API call to ASI-1 Mini, the Web3-native Large Language Model designed for agentic AI.

How to Get an API Key

Before you can start using ASI-1 Mini, you'll need to obtain an API key. Follow these steps:

1. Visit https://asi1.ai/chat and log in to your account.

2. Once logged in, look for the link in the top right corner to create an API Key.

3. Click on "Create new" or "Create API Key" to generate a new key.

4. Give your API key a descriptive name that helps you identify its purpose or the project it's associated with.

5. Click "Create" to generate the key.

6. Your API key will be displayed. Make sure to copy this key and store it securely, as you won't be able to view it again.

7. You can manage your API keys at any time by visiting https://asi1.ai/dashboard/api-keys.

Making Your First API Call

Once you have your API key, you can start making requests to the ASI-1 Mini API. Here's a simple example using Python:

import requests
import json

url = "https://api.asi1.ai/v1/chat/completions"

payload = json.dumps({
  "model": "asi1-mini",
  "messages": [
    {
      "role": "user",
      "content": "Hello, tell me about agentic AI"
    }
  ],
  "temperature": 0.7,
  "stream": False,
  "max_tokens": 500
})

headers = {
  'Content-Type': 'application/json',
  'Accept': 'application/json',
  'Authorization': 'Bearer YOUR_API_KEY'  # Replace with your actual API key
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

Replace YOUR_API_KEY with the API key you obtained in the previous steps.

Understanding the Response

The API will return a JSON response containing the model's reply. If you set stream to True, the response will be streamed as it's generated, which is useful for creating more responsive applications.

A typical response will include:

• The completion ID
• The model name
• The generated text
• Usage information (token counts)

Streaming Responses

For a more interactive experience, you can set the stream parameter to True to receive the response as it's being generated:

import requests
import json

url = "https://api.asi1.ai/v1/chat/completions"

payload = json.dumps({
  "model": "asi1-mini",
  "messages": [
    {
      "role": "user",
      "content": "Explain the concept of decentralized AI"
    }
  ],
  "temperature": 0.7,
  "stream": True,
  "max_tokens": 500
})

headers = {
  'Content-Type': 'application/json',
  'Accept': 'application/json',
  'Authorization': 'Bearer YOUR_API_KEY'  # Replace with your actual API key
}

response = requests.request("POST", url, headers=headers, data=payload, stream=True)

for line in response.iter_lines():
    if line:
        line_text = line.decode('utf-8')
        if line_text.startswith('data: '):
            data_str = line_text[6:]  # Remove 'data: ' prefix
            if data_str == '[DONE]':
                break
            try:
                data = json.loads(data_str)
                if 'choices' in data and len(data['choices']) > 0:
                    delta = data['choices'][0].get('delta', {})
                    if 'content' in delta:
                        print(delta['content'], end='', flush=True)
            except json.JSONDecodeError:
                pass

Next Steps

Now that you've made your first API call to ASI-1 Mini, you can explore more advanced features:

• Check out the API Reference for detailed information on all available endpoints and parameters
• Learn about Chat Completion for more details on generating conversational responses
• Explore example applications and use cases.

By leveraging ASI-1 Mini's agentic capabilities, you can build sophisticated AI applications that can reason, plan, and execute complex tasks autonomously within the Web3 ecosystem.