Nova Micro

Approved Data Classifications

This model is only approved for Open Data. When leveraging NaviGator AI’s suite offerings, please ensure you are selecting models that meet the compliance requirements in accordance with UF’s Data Classifications, grant awards or project specifications, and state and federal law.

Description

Amazon Nova is AWS's foundation model family for text, image, and video tasks.

Understanding Models:

• Amazon Nova Micro: A text-only model optimized for low-latency responses and cost efficiency, suitable for tasks like language understanding and code completion. AWS lists Nova Micro as released on December 3, 2024.

These models are integrated with Amazon Bedrock, enabling seamless deployment and scalability for developers aiming to build and enhance AI-driven applications.

Capabilities

Model	Release Date	Input	Output	Context Length	Cost (per 1 million tokens)
nova-micro	Dec 3 2024	Text	Text	300,000	$0.04/1M input $0.14/1M output

info

• 1M represents 1 Million Tokens
• All prices listed are based on 1 Million Tokens

Availability

Cloud Provider

Usage

curl

curl -X POST https://api.ai.it.ufl.edu/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <API_TOKEN>" \
-d '{
    "model": "nova-micro",
    "messages": [
        {
            "role": "system",
            "content": "You are a helpful assistant."
        },
        {
            "role": "user",
            "content": "Write a haiku about an Alligator."
        }
    ]
}'

python

from openai import OpenAI
client = OpenAI(
    api_key="your_api_key",
    base_url="https://api.ai.it.ufl.edu/v1"
)

response = client.chat.completions.create(
    model="nova-micro", # model to send to the proxy
    messages = [
        { "role": "system", "content": "You are a helpful assistant." },
        {
            "role": "user",
            "content": "Write a haiku about an Alligator."
        }
    ]
)

print(response.choices[0].message)

javascript

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: 'your_api_key',
  baseURL: 'https://api.ai.it.ufl.edu/v1'
});

const completion = await openai.chat.completions.create({
    model: "nova-micro",
    messages: [
        { role: "system", content: "You are a helpful assistant." },
        {
            role: "user",
            content: "Write a haiku about an Alligator.",
        },
    ],
});

console.log(completion.choices[0].message)

---

References

1. LLM Stats
   https://llm-stats.com
2. Artificial Analysis
   https://artificialanalysis.ai
3. Huggingface
   https://huggingface.co/
4. AWS
   https://aws.amazon.com/ai/