# Schematron V2 Turbo

Canonical page: https://agentsky.dev/models/inference-net/schematron-v2-turbo
JSON record: https://gateway.agentsky.dev/v1/models/inference-net/schematron-v2-turbo

Schematron V2 Turbo is a text-input model by Inference Net, available through the AgentSky API as inference-net/schematron-v2-turbo at $0.034815 per million input tokens and $0.174075 per million output tokens, with a 128K context window.

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net.

## Facts

- **Model id:** `inference-net/schematron-v2-turbo`
- **Maker:** Inference Net
- **Input modalities:** Text
- **Context:** 128K
- **Max output tokens:** 8,192
- **Aliases:** `inference-net/schematron-v2-turbo`, `schematron-v2-turbo`

## Pricing

USD per million tokens on the default plan. Signed-in pages show your own plan's price; every response carries the cost of that call in `usage.cost`.

| Meter | Per 1M tokens |
|---|---|
| Input | $0.034815 |
| Output | $0.174075 |
| Cache read | $0.034815 |
| Cache write | $0.034815 |

## Use it

Anthropic wire base URL: `https://gateway.agentsky.dev`. OpenAI wire base URL: `https://gateway.agentsky.dev/v1`. Authenticate with an AgentSky API key (`ast_…`) and pass the model id.

### OpenAI SDK

```js
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://gateway.agentsky.dev/v1",
  apiKey: process.env.AGENTSKY_API_KEY, // ast_…
});

const completion = await client.chat.completions.create({
  model: "inference-net/schematron-v2-turbo",
  messages: [{ role: "user", content: "Summarise this ticket." }],
});
console.log(completion.usage.cost); // USD, in the response
```

### Codex

```bash
export OPENAI_BASE_URL="https://gateway.agentsky.dev/v1"
export OPENAI_API_KEY="$AGENTSKY_API_KEY"

codex --model inference-net/schematron-v2-turbo
```

### OpenCode

```js
// opencode.json — then switch models any time with /models
{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "agentsky": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "AgentSky",
      "options": {
        "baseURL": "https://gateway.agentsky.dev/v1",
        "apiKey": "{env:AGENTSKY_API_KEY}"
      },
      "models": { "inference-net/schematron-v2-turbo": {} }
    }
  }
}
```

## Questions

### What is Schematron V2 Turbo?

Schematron V2 Turbo is a model from Inference Net. Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net.

### How much does Schematron V2 Turbo cost?

$0.034815 / $0.174075 per million tokens at the prices shown, for input and output respectively. The exact price of every call comes back in the response as usage.cost, so you never have to compute it.

### What is the context length of Schematron V2 Turbo?

128K tokens, and it writes up to 8K tokens in one reply. These are the limits listed for this model in the current AgentSky catalog.

### Which clients can call Schematron V2 Turbo?

Anything that speaks the OpenAI-compatible request format. Point the client's base URL at the gateway, use an AgentSky key, and pass inference-net/schematron-v2-turbo as the model.

### How do I name Schematron V2 Turbo in a request?

The gateway accepts inference-net/schematron-v2-turbo, schematron-v2-turbo. Any of them resolves to the same model, so an existing integration usually needs no change to its model string.

### Can Schematron V2 Turbo read images?

No image input is listed for this model. Its supported input types are text. For screenshots or photographs, choose a model that lists image input.

### What output can Schematron V2 Turbo produce?

The listed output types are text. This model returns text. Producing image, video or audio files requires a suitable tool or another model; it is not included in text generation.

### How should I plan a long prompt for Schematron V2 Turbo?

Plan your instructions, conversation history and source material around the 128K-token context limit, leaving room for the response. The listed response ceiling is 8K tokens. A larger window lets you supply more relevant material; it does not make unrelated content useful.

### What would 10,000 input tokens and 2,000 output tokens cost with Schematron V2 Turbo?

At the displayed input and output rates, the model-token subtotal is $0.0006963. This example assumes uncached input and excludes additional pricing categories, tool calls and agent runtime. Actual usage determines the final charge.

### How is cached input priced for Schematron V2 Turbo?

The catalog lists $0.034815 per million cache-read tokens. Cache writes are listed at $0.034815 per million tokens. Repeating a prompt does not by itself guarantee a cache hit; only usage reported as cached receives that rate.

### Does the Schematron V2 Turbo token price cover an entire agent task?

No. The model price covers the model usage described above. A task can also incur tool and runtime charges, and several model calls may be needed to complete it. Compare total task usage when evaluating cost.

### How do I use Schematron V2 Turbo on AgentSky?

This model is listed for API use. Use the model ID inference-net/schematron-v2-turbo with a supported gateway operation. The agent composer is not offered here because the current agent model menu has no compatible match.