fabric-compute-sdk 1.0.0

Official Python SDK for Fabric - Distributed AI Compute Network

Fabric SDK

Official Python SDK for Fabric - Distributed AI Compute Network

Submit AI workloads to the Fabric network programmatically.

Installation

pip install fabric-sdk

Quick Start

from fabric_sdk import FabricClient

# Initialize client
client = FabricClient(
    api_url="https://api.fabric.carmel.so",
    email="[e-mail]",
    password="your_password"
)

# Submit a job
job = client.submit_job(
    workload_type="pytorch_cnn",
    params={
        "input_size": 784,
        "hidden_size": 128,
        "output_size": 10,
        "num_epochs": 5,
        "batch_size": 32
    },
    requirements={
        "min_cpu_cores": 4,
        "min_ram_gb": 8,
        "gpu_required": True,
        "min_gpu_memory_gb": 4
    }
)

print(f"Job submitted: {job['id']}")

# Wait for completion
result = client.wait_for_job(job['id'], timeout=300)
print(f"Job completed in {result['duration']}s")
print(f"Cost: ${result['cost']}")

Features

• 🔐 Automatic Authentication - JWT token management
• 📤 Job Submission - Submit AI workloads with custom requirements
• 📊 Job Monitoring - Track progress and get results
• 💰 Credit Management - Check balance and purchase credits
• 🖥️ Node Discovery - List available compute nodes
• 🔄 Auto-Retry - Built-in network resilience
• 📝 Type Hints - Full TypeScript-style typing support

Documentation

• Full API Reference
• Examples
• Advanced Usage

Supported Workload Types

Type	Description	Requirements
pytorch_cnn	PyTorch CNN training	GPU recommended
transformer_attention	Transformer attention computation	GPU required
llm_inference	LLM token generation	High GPU memory
custom_python	Custom Python script	Varies

License

MIT License - See LICENSE