MODELS
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Documentation

Guides for deploying models, connecting the OpenAI-compatible API, and configuring routing, protection, and retrieval.

API

Inference API

Use one OpenAI-compatible request format across model deployments, public models and LLM Model Routing endpoints.

Explore the QDivZero platform

One request shape

Send chat completions, embeddings and supported OpenAI parameters to https://api.qdiv0.com/v1. The model field selects a deployment, a public model or a routing endpoint.

inference.py
1from openai import OpenAI
2
3client = OpenAI(
4    base_url="https://api.qdiv0.com/v1",
5    api_key="qdiv0_sk_...",
6)
7
8response = client.chat.completions.create(
9    model="your-serving-name",
10    messages=[{"role": "user", "content": "Hello"}],
11)
12
13print(response.choices[0].message.content)

Choose the backend

Use a deployment serving name for capacity-based workloads, a catalog identifier for metered models, or an LLM Model Routing serving name when QDivZero should choose the destination.

Operational controls

Streaming, tool use and LLM Firewall are request-level capabilities. Enable them without introducing another gateway or changing SDKs.