DeepSeek V3 для программирования

from openai import OpenAI

client = OpenAI(
    base_url="https://api.quicksilverpro.io/v1",
    api_key="sk-qsp-...",
)

resp = client.chat.completions.create(
    model="deepseek-v3",
    messages=[
        {"role": "system", "content": "You are a senior Python engineer. Write clean, idiomatic code."},
        {"role": "user", "content": "Implement an LRU cache in Python without using functools.lru_cache."},
    ],
    temperature=0.2,
)
print(resp.choices[0].message.content)
print(f"Cost: ${resp.usage.cost:.6f}")

tools = [
    {
        "type": "function",
        "function": {
            "name": "read_file",
            "description": "Read a file from disk",
            "parameters": {
                "type": "object",
                "properties": {"path": {"type": "string"}},
                "required": ["path"],
            },
        },
    },
    {
        "type": "function",
        "function": {
            "name": "write_file",
            "description": "Write content to a file",
            "parameters": {
                "type": "object",
                "properties": {
                    "path": {"type": "string"},
                    "content": {"type": "string"},
                },
                "required": ["path", "content"],
            },
        },
    },
]

resp = client.chat.completions.create(
    model="deepseek-v3",
    messages=[{"role": "user", "content": "Refactor app.py to extract the auth helpers."}],
    tools=tools,
    tool_choice="auto",
)
for call in resp.choices[0].message.tool_calls or []:
    print(call.function.name, call.function.arguments)