synexa 0.1.0

Python client for Synexa AI API

Synexa Python Client

This is a Python client for Synexa AI. It lets you run AI models from your Python code or Jupyter notebook.

Requirements

• Python 3.8+

Installation

pip install synexa

Authentication

Before running any Python scripts that use the API, you need to set your Synexa API key in your environment:

export SYNEXA_API_KEY=your-api-key

Alternatively, you can pass the API key directly when creating a client:

client = synexa.Synexa(api_key="your-api-key")

Usage

Here's a simple example of how to use the client:

import synexa

# Run a model
output = synexa.run(
    "black-forest-labs/flux-schnell",
    input={"prompt": "An astronaut riding a rainbow unicorn, cinematic, dramatic"}
)

# Save the generated image
for i, img in enumerate(output):
    with open(f'output_{i}.webp', 'wb') as f:
        f.write(img.read())

Async Support

The client supports both synchronous and asynchronous operations. By default, it will wait for the prediction to complete (up to 60 seconds). You can modify this behavior:

# Don't wait for completion
output = synexa.run(
    "black-forest-labs/flux-schnell",
    input={"prompt": "An astronaut riding a rainbow unicorn"},
    wait=False
)

# Wait with custom timeout (in seconds)
output = synexa.run(
    "black-forest-labs/flux-schnell",
    input={"prompt": "An astronaut riding a rainbow unicorn"},
    wait=30
)

Error Handling

The client will raise exceptions for various error conditions:

• ModelError: Raised when the prediction fails
• TimeoutError: Raised when the prediction doesn't complete within the specified timeout
• ValueError: Raised when required parameters are missing or invalid
• httpx.HTTPError: Raised for HTTP-related errors

Example error handling:

from synexa import ModelError

try:
    output = synexa.run(
        "black-forest-labs/flux-schnell",
        input={"prompt": "An astronaut riding a rainbow unicorn"}
    )
except ModelError as e:
    print(f"Prediction failed: {e}")
    if e.prediction:
        print(f"Prediction ID: {e.prediction['id']}")

License

MIT License