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from openai import OpenAI
import os
client = OpenAI(
base_url="https://api.avian.io/v1",
api_key=os.environ.get("AVIAN_API_KEY")
)
response = client.chat.completions.create(
model="Meta-Llama-3.1-405B-Instruct",
messages=[
{
"role": "user",
"content": "What is machine learning?"
}
],
stream=True
)
for chunk in response:
print(chunk.choices[0].delta.content, end="")
base_url
to https://api.avian.io/v1
Llama 3.1 405B demonstrates exceptional performance across various benchmarks, rivaling and often surpassing other leading models in the industry.
Avian API offers cutting-edge language processing powered by Meta's Llama 3.1 405B model, providing superior natural language understanding and generation.
Seamlessly integrate external tools and APIs to enhance the model's capabilities and perform complex tasks. Avian API's native tool calling feature allows for powerful, context-aware interactions with various data sources and services.
Experience real-time responses with our efficient streaming API. Perfect for interactive applications, Avian API's streaming capabilities ensure low-latency, continuous output for a seamless user experience.
Easily integrate Avian API into your existing projects with our OpenAI-compatible interface. Enjoy familiar API structures and endpoints, making migration from OpenAI to Avian API smooth and straightforward.
Experience state-of-the-art language processing with our OpenAI-compatible API, powered by Meta's Llama 3.1 405B Model.
Committed to protecting your privacy, we operate with secure, SOC/2 approved Open Source Foundation language models on Microsoft Azure, ensuring real-time insights without storing your data using live queries.
Use native tool calling with Llama 3.1 405B along with Avian data connectors