If you've used OpenAI, you've used Aigarth.
from aigarth import Aigarth
client = Aigarth(api_key="sk-aigarth-...")
response = client.chat.create(
model="aigarth-reason-1",
messages=[
{"role": "user", "content": "Explain Useful Proof of Staking in 3 sentences."}
],
)
print(response.choices[0].message.content)Idiomatic libraries in the languages your team already uses.
pip install aigarthnpm install aigarthgo get aigarth.cloud/sdkcargo add aigarthimplementation 'cloud.aigarth:sdk'dotnet add package AigarthSame endpoints, same request shape, same response format. Switch by changing the base URL.
Auth, run, deploy, monitor, and govern from your terminal. Scriptable for CI/CD.
First-class streaming, async/await, and tool use. Built for production applications.
Per-project keys, environment separation, IP allowlists, and per-key spend caps.
Try any model from your browser. Inspect latency, tokens, and cost in real time.
API reference, guides, recipes, examples. Searchable, versioned, complete.
SDKs, CLI, and core protocol are open source. Inspect, fork, contribute.
Python SDK with sync/async, streaming, and full type hints.
TypeScript SDK. Works in Node, Bun, Deno, and the browser.
Command-line interface for auth, deploy, monitor, and govern.
Core protocol implementation. Reference for network operators.