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SynapsAI Python SDK

License Python Version

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


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 >= 12.2.0
  • click >= 8.0

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}")

Documentation

Local guides live in docs/ (getting started, every resource, CLI, async, errors).

Online examples: docs.synapsai.cloud.


Available Resources

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

Resource Description
models Model management and discovery
chat.completions Chat completions, streaming, and stored CRUD
responses Responses API create / retrieve / delete
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
vector_stores Vector stores and file ingestion/search
model_artifacts Model artifact upload sessions
agents Persisted agent runs, resume, and delete (AG-UI SSE)

CLI

After install, the synapsai command is available:

# Upload a model directory into an existing artifact
synapsai upload-model ./my-model --artifact-id artifact-demo-abc12345

# Upload files or directories into a vector store
synapsai upload-vector-store-files vs_abc123 ./docs ./readme.md

Environment variables:

  • SYNAPSAI_API_KEY — API key
  • SYNAPSAI_API_BASE — API base URL (default https://api.synapsai.cloud/v1)

License

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

Metadata

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