# mammoth1

> Mammoth-1 27B decision model — Jev-compatible /v1/systemone

This file is intended for AI coding agents wiring an application to this specific Chutes model.

## Important URLs

- Model page: https://chutes.ai/app/chute/vonkaiser-mammoth1
- Model llms.txt: https://chutes.ai/app/chute/vonkaiser-mammoth1/llms.txt
- Model OpenAPI 3.1 spec (this chute, callable): https://chutes.ai/app/chute/vonkaiser-mammoth1/openapi.json
- Global Chutes llms.txt: https://chutes.ai/llms.txt
- Full Chutes docs export: https://chutes.ai/llms-full.txt
- Management API OpenAPI (account/billing/keys, NOT this model): https://api.chutes.ai/openapi.json

## Model Identifiers

- Name: `mammoth1`
- Chute ID: `1b790ef0-e850-58c8-89fc-20b6d29c41f6`
- Slug: `vonkaiser-mammoth1`
- Owner: `vonkaiser`

## Authentication

- Use `Authorization: Bearer $CHUTES_API_KEY` for inference calls.
- Send JSON request bodies with `Content-Type: application/json` unless the endpoint documentation says otherwise.
- The request body is FLAT — send the request fields at the top level (no `input_args`/`args` wrapper).
- This model is served on its own host (`https://vonkaiser-mammoth1.chutes.ai`). Call the endpoint paths listed below directly.
- For base64 media fields, send raw base64 strings in API requests. The web playground may use temporary Blob upload references internally for large files before proxying to Chutes.

## Pricing

- $2.25 per hour
- Check the model page for current pricing.

## Endpoints

### 1. POST /v1/systemone

- Base URL: `https://vonkaiser-mammoth1.chutes.ai`
- Output content type: `application/json`

Request fields:


Example call:

cURL:

```bash
curl -X POST "https://vonkaiser-mammoth1.chutes.ai/v1/systemone" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'
```

Python:

```python
import os
import requests

api_key = os.environ.get("CHUTES_API_KEY")
if not api_key:
    raise ValueError("Missing CHUTES_API_KEY")

url = "https://vonkaiser-mammoth1.chutes.ai/v1/systemone"
headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}
data = {}

response = requests.request("POST", url, headers=headers, json=data)
response.raise_for_status()

result = response.json()
print(result)
```

### 2. GET /health

- Base URL: `https://vonkaiser-mammoth1.chutes.ai`
- Output content type: `application/json`

Request fields:


Example call:

cURL:

```bash
curl -X GET "https://vonkaiser-mammoth1.chutes.ai/health" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'
```

Python:

```python
import os
import requests

api_key = os.environ.get("CHUTES_API_KEY")
if not api_key:
    raise ValueError("Missing CHUTES_API_KEY")

url = "https://vonkaiser-mammoth1.chutes.ai/health"
headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}
data = {}

response = requests.request("GET", url, headers=headers, json=data)
response.raise_for_status()

result = response.json()
print(result)
```

## Agent Integration Checklist

- Pick the endpoint path that matches the desired task.
- Set `CHUTES_API_KEY` in the server-side environment only.
- Validate required fields before sending requests.
- For media models, keep file upload, base64 conversion, and output preview/download handling explicit in the app UI.