FIM 补全

{ 
    "model": "model info",
    "messages": "prompt message",
    "params": "params",
    "extra_body": {"prefix":"前缀内容", "suffix":"后缀内容"}
}

{
    "model": "model info",
    "prompt": "前缀内容",
    "suffix": "后缀内容"
}

client = OpenAI(
    api_key="您的 APIKEY", # 从 https://cloud.siliconflow.com/account/ak 获取
    base_url="https://api.siliconflow.com/v1"
)
 
messages = [
    {"role": "user", "content": "Please write quick sort code"},
]

response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V2.5",
    messages=messages,
    extra_body={
            "prefix": f"""
def quick_sort(arr):
    # 基本情况，如果数组长度小于等于 1，则返回数组
    if len(arr) <= 1:
        return arr
    else:
""",
            "suffix": f"""
# 测试 quick_sort 函数
arr = [3, 6, 8, 10, 1, 2, 1]
sorted_arr = quick_sort(arr)
print("Sorted array:", sorted_arr)
"""
    },
    stream=True,
    max_tokens=4096
)

for chunk in response:
    print(chunk.choices[0].delta.content, end='')

client = OpenAI(
    api_key="您的 APIKEY", # 从 https://cloud.siliconflow.com/account/ak 获取
    base_url="https://api.siliconflow.com/v1"
)

response = client.completions.create(
    model="deepseek-ai/DeepSeek-V2.5",
    prompt=f"""
def quick_sort(arr):
    # 基本情况，如果数组长度小于等于 1，则返回数组
    if len(arr) <= 1:
        return arr
    else:
""",
    suffix=f"""
# 测试 quick_sort 函数
arr = [3, 6, 8, 10, 1, 2, 1]
sorted_arr = quick_sort(arr)
print("Sorted array:", sorted_arr)
""",
    stream=True,
    max_tokens=4096
)

for chunk in response:
    print(chunk.choices[0].text, end='')