synapsai-python 0.1.0

The official SynapsAI Cloud Python SDK

SynapsAI Python SDK

The official SynapsAI Cloud AI inference Python SDK. Seamlessly integrate multi-modal AI capabilities into your applications.

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Installation

Install the latest version of the SDK:

pip install --upgrade synapsai-python

Requirements

• Python >= 3.8
• httpx >= 0.23.0, < 1.0.0
• pydantic >= 2.0, < 3
• typing-extensions >= 4.5, < 5
• Pillow >= 9.5.0, < 11
• numpy >= 1.21.0, < 2

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Quick Start

1. Setup Environment Variables

You can configure the SDK using environment variables instead of hardcoding your credentials:

• SYNAPSAI_API_KEY - Your SynapsAI API key
• SYNAPSAI_API_BASE - Custom base URL (Defaults to https://api.synapsai.cloud/v1)

2. Initialization & Example Usage

Here is how to initialize the client and fetch a list of all deployed models on your account:

import os
from synapsai import SynapsAI

# Initialize the client (picks up env variables automatically if arguments are omitted)
client = SynapsAI(
    api_key=os.environ.get("SYNAPSAI_API_KEY"),
)

# Fetch and view deployed models
models_page = client.models.list()
for model in models_page.data:
    print(f"Model ID: {model.id} | Status: {model.status}")

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Documentation

For advanced configurations, deep-dive usage guides, and comprehensive code examples for every resource, visit our Examples Documentation.

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Available Resources

The SDK provides native support for the following SynapsAI Cloud capabilities:

Resource	Description
models	Model management and discovery
chat.completions	Chat completions and real-time streaming
completions	Classic text completions
embeddings	Text embeddings generation
images	Image generation and manipulation
audio	Speech-to-text and text-to-speech processing
videos	Video generation and processing
classifications	Text classification tasks
question_answering	Targeted question answering
feature_extraction	Feature extraction pipelines
fill_mask	Masked Language Modeling (MLM)
rerank	Text reranking for search optimization

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License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.