Developers

Built for developers.

A predictable API surface, first-class SDKs and observability that behaves the same in development and production.

Developer experience

Built for developers.

A single, predictable API surface for models, agents and retrieval — with SDKs, streaming and monitoring built in.

REST API
Python SDK
Model APIs
Webhooks
Streaming
Monitoring
View Documentation

analysis.py

from qntor import Qntor client = Qntor(api_key="YOUR_API_KEY") response = client.chat.create(    model="llama",    agent="financial-analyst",    messages=[        {"role": "user", "content": "Analyze Q3 performance"}    ]) print(response.output)

API surface

Core endpoints.

POST/v1/chatChat and agent completions with streaming support.
POST/v1/embeddingsGenerate embeddings for retrieval pipelines.
POST/v1/knowledge/ingestIngest documents into a knowledge collection.
POST/v1/finetunesLaunch a fine-tuning job on a GPU pool.
GET/v1/deploymentsList deployments, versions and endpoint health.
GET/v1/usageToken usage, latency and cost per workspace.

Resources

Everything you need to ship.

Documentation

Guides for deployment, retrieval, agents and evaluation.

Available at launch

API reference

Every endpoint, parameter and error, with copyable examples.

Available at launch

Status

Live availability of the control plane and inference regions.

Available at launch

Performance

Built for production workloads.

Sample values shown below are illustrative demo figures, not real production benchmarks.

Inference Latency

182

ms p50

GPU Utilization

72

% of pool

Requests / Second

9.4

k sustained

Token Throughput

48

k tokens/s

Infrastructure Cost

-31

% vs. baseline

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