Chat Completions

Create chat completions, fully compatible with OpenAI's Chat Completions API.

Endpoint

• URL: /v1/chat/completions
• Method: POST
• Auth: API Key required

Request Parameters

Parameter	Type	Required	Description
model	string	Yes	Model ID, e.g., gpt-4o-mini
messages	array	Yes	Message list
temperature	number	No	Temperature, 0-2, default 1
max_tokens	integer	No	Max tokens to generate
top_p	number	No	Nucleus sampling, 0-1
frequency_penalty	number	No	Frequency penalty, -2 to 2
presence_penalty	number	No	Presence penalty, -2 to 2
stream	boolean	No	Stream output, default false
stop	array	No	Stop sequences
n	integer	No	Number of completions, default 1

messages Format

{
  "messages": [
    {"role": "system", "content": "You are a helpful assistant"},
    {"role": "user", "content": "Hello"},
    {"role": "assistant", "content": "Hello! How can I help you?"},
    {"role": "user", "content": "How is the weather today?"}
  ]
}

Request Examples

Standard Request

curl https://api.quickapi.store/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [
      {"role": "user", "content": "Hello"}
    ],
    "temperature": 0.7,
    "max_tokens": 1000
  }'

Streaming Request

curl https://api.quickapi.store/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [
      {"role": "user", "content": "Hello"}
    ],
    "stream": true
  }'

Response Examples

Standard Response

{
  "id": "chatcmpl-xxx",
  "object": "chat.completion",
  "created": 1700000000,
  "model": "gpt-4o-mini",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I help you?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 20,
    "total_tokens": 30
  }
}

Streaming Response

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","created":1700000000,"model":"gpt-4o-mini","choices":[{"index":0,"delta":{"content":"Hello"},"finish_reason":null}]}

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","created":1700000000,"model":"gpt-4o-mini","choices":[{"index":0,"delta":{"content":"!"},"finish_reason":null}]}

data: [DONE]

Python Example

from openai import OpenAI

client = OpenAI(
    base_url="https://api.quickapi.store/v1",
    api_key="YOUR_API_KEY"
)

# Standard request
response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

# Streaming request
for chunk in client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello"}],
    stream=True
):
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")