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Chat completions

POSThttps://api.modelsheep.com/chat/completions

POSThttps://api.modelsheep.com/v1/chat/completions

Creates a model response for a list of chat messages. The endpoint is compatible with the OpenAI chat completions endpoint, so the official SDKs call it without changes.

Both paths are served and return the same response. The OpenAI SDKs append /v1 on their own.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.modelsheep.com",
    api_key=API_KEY_MODELSHEEP,
)

response = client.chat.completions.create(
    model="Qwen/Qwen3.5-35B-A3B-FP8",
    messages=[
        {
            "role": "user",
            "content": "Why do sheep count people?"
        }
    ],
    max_tokens=200,
)

print(response.choices[0].message.content)

Request Body

arrayrequired: The conversation so far, oldest first.
modelstringrequired: A public model name, as listed on /models.
max_tokensinteger: The maximum number of tokens in the response.
temperaturenumber: Sampling temperature. Higher values give more varied output. Defaults to the model default.
top_pnumber: Nucleus sampling, an alternative to temperature.
stopstring or array: One or more strings that end the response.
array: Functions the model may call. The response then carries tool_calls instead of content.
object: The shape the response must take.

Response

idstring: The id of this completion.
objectstring: The type of object returned.
createdinteger: The creation time in unix seconds.
modelstring: The model that produced the response.
array: The generated responses, one entry unless more were requested.
object: The token counts the call is priced on.

Response Example

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "created": 1789832000,
  "model": "Qwen/Qwen3.5-35B-A3B-FP8",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Counting is a rhythm without a destination."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 14,
    "completion_tokens": 41,
    "total_tokens": 55
  }
}