EYE AI
  • 🧿Eye AI - Explained
  • Overview
    • 🧿The beginning of a new age
    • 🧿Crypto robotics / Eye-AI
      • 🧿Functionality
    • 🧿Metaverse Eye-AI
      • 🧿AI powering the Metaverse
    • 🧿Trend Tracking
    • 🧿Point to ETH network
    • 🧿Introduction of the Eye- AI API
      • 🧿Making requests
      • 🧿Models
        • ▪️List models
      • 🧿Completions
        • ▪️Create completion
      • 🧿Edits
      • 🧿Images
        • ▪️Create image edit
        • ▪️Create image variation
      • 🧿Embeddings
      • 🧿File
        • ▪️Upload File
        • ▪️Delete File
        • ▪️Retrieve file
        • ▪️Retrieve file content
        • ▪️Fine-tunes
      • 🧿Moderations
      • 🧿Parameter details
    • 🧿Terms of Artificial Intelligence
    • 🧿AI and the developers
    • 🧿How AI can help organizations
    • 🧿AI in the company
      • 🧿What is driving AI adoption?
    • 🧿AI as a strategic must and competitive advantage
      • 🧿Best practices to get the most out of AI
    • 🧿Turnkey AI is making AI easier to operationalize
    • 🧿From artificial intelligence to adaptive intelligence
    • 🪙Token Eye AI
      • 🧿Taxes
      • 🧿Token Metrics
    • 🕵️‍♀️Security AI
    • 🛤️Roadmap
    • 🫂Social Media
    • 📊Fairlaunch ETH - Pinksale
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  1. Overview
  2. Introduction of the Eye- AI API

Making requests

You can paste the command below into your terminal to run your first API request. Make sure to replace YOUR_API_KEY with your secret API key.

curl https://api.eye-ai.com/v1/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{"model": "text-davinci-003", "prompt": "Say this is a test", "temperature": 0, "max_tokens": 7}'

This request queries the Davinci model to complete the text starting with a prompt of "Say this is a test". The max_tokens parameter sets an upper bound on how many tokens the API will return. You should get a response back that resembles the following:

{
    "id": "cmpl-GERzeJQ4lvqPk8SkZu4XMIuR",
    "object": "text_completion",
    "created": 1586839808,
    "model": "text-davinci:003",
    "choices": [
        {
            "text": "\n\nThis is indeed a test",
            "index": 0,
            "logprobs": null,
            "finish_reason": "length"
        }
    ],
    "usage": {
        "prompt_tokens": 5,
        "completion_tokens": 7,
        "total_tokens": 12
    }
}

Now you've generated your first completion. If you concatenate the prompt and the completion text (which the API will do for you if you set the echo parameter to true), the resulting text is "Say this is a test. This is indeed a test." You can also set the stream parameter to true for the API to stream back text

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Last updated 2 years ago

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