singularity-grid 0.1.0

Python SDK for the SGL Network confidential compute grid

singularity-grid

Python SDK for the SGL Network confidential compute grid. Submit inference jobs to TEE-verified nodes, check grid capacity, and use the OpenAI-compatible chat completions endpoint -- all from a single package.

Installation

pip install singularity-grid

To use the OpenAI compatibility helper:

pip install singularity-grid[openai]

Quick start

1. OpenAI-compatible usage (simplest)

The SGL Network orchestrator exposes an OpenAI-compatible /v1/chat/completions endpoint. You can use the standard openai package with no wrapper:

from openai import OpenAI

client = OpenAI(
    base_url="https://sgl-network-orchestrator.ivaavimusicproductions.workers.dev/v1",
    api_key="scg_your_api_key",
)

response = client.chat.completions.create(
    model="gemma-4-26b",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

2. Helper function

If you prefer not to copy the URL, use the built-in helper:

from singularity_grid import create_openai_client

client = create_openai_client(api_key="scg_your_api_key")

response = client.chat.completions.create(
    model="gemma-4-26b",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

3. GridClient (full grid features)

For grid-specific features like job submission, TEE attestation, capacity checks, and pricing:

from singularity_grid import GridClient

# Public endpoints -- no auth required
grid = GridClient()
capacity = grid.capacity()
models = grid.models()
pricing = grid.pricing()

print(f"Active nodes: {capacity.active_nodes}/{capacity.total_nodes}")
for m in models:
    print(f"  {m.id} -- {m.sgl_node_count} nodes")

# Authenticated endpoints
grid = GridClient(api_key="scg_your_api_key")

job = grid.submit_job(
    model="gemma-4-26b",
    input_payload={
        "messages": [{"role": "user", "content": "Analyze this data"}]
    },
    submitter_wallet="0xYourWallet",
    submitter_chain="base",
)

print(f"Job {job.job_id}: {job.status}")

# Retrieve result and attestation
result = grid.get_job(job.job_id)
attestation = grid.get_attestation(job.job_id)
print(f"TEE verified: {attestation.verified}")

API reference

GridClient

Method	Auth	Description
capacity()	No	Grid-wide capacity summary
models()	No	Available models with pricing and TEE info
pricing()	No	Pricing table for all models
submit_job(model, input_payload, ...)	Yes	Submit a compute job
get_job(job_id)	Yes	Get job status and result
get_attestation(job_id)	Yes	Get TEE attestation proof

Exceptions

Exception	When
SGLError	Base class for all SDK errors
SGLAPIError	Non-2xx response from the API
SGLAuthError	401 or 403 response
SGLNotFoundError	404 response
SGLConnectionError	Orchestrator unreachable or timeout

Configuration

Parameter	Default	Description
api_key	None	Bearer token for authenticated endpoints
base_url	orchestrator URL	Override the orchestrator URL
timeout	60.0	Request timeout in seconds

License

MIT