| """DeepSeek LLM Provider (支持 thinking + function calling)""" |
| import json |
| import urllib.request |
| from typing import Optional |
|
|
| from .base import LLMProvider |
|
|
|
|
| class DeepSeekProvider(LLMProvider): |
| """DeepSeek API Provider""" |
|
|
| def __init__(self, api_key: str, base_url: str = "https://api.deepseek.com/v1", |
| model: str = "deepseek-v4-pro", |
| fast_model: str = "deepseek-v4-flash", |
| timeout: int = 120): |
| self.api_key = api_key |
| self.base_url = base_url.rstrip("/") |
| self.model = model |
| self.fast_model = fast_model |
| self.timeout = timeout |
|
|
| def name(self) -> str: |
| return "deepseek" |
|
|
| def chat(self, messages: list, max_tokens: int = 2000, |
| temperature: float = 0.8, thinking: Optional[dict] = None, |
| tools: Optional[list] = None, |
| use_fast: bool = False) -> dict: |
| """调用 DeepSeek API, 支持思考强度与工具调用""" |
| model = self.fast_model if use_fast else self.model |
| payload = { |
| "model": model, |
| "messages": messages, |
| "max_tokens": max_tokens, |
| "temperature": temperature, |
| } |
| if thinking is not None: |
| payload["thinking"] = thinking |
| if tools: |
| payload["tools"] = tools |
| payload["tool_choice"] = "auto" |
|
|
| data = json.dumps(payload).encode() |
| req = urllib.request.Request( |
| f"{self.base_url}/chat/completions", data=data, headers={ |
| "Content-Type": "application/json", |
| "Authorization": f"Bearer {self.api_key}", |
| }) |
| try: |
| with urllib.request.urlopen(req, timeout=self.timeout) as resp: |
| r = json.loads(resp.read()) |
| msg = r["choices"][0]["message"] |
| return { |
| "content": (msg.get("content") or "").strip(), |
| "tool_calls": msg.get("tool_calls"), |
| "finish_reason": r["choices"][0].get("finish_reason"), |
| } |
| except Exception as e: |
| return {"content": f"[API错误: {e}]", "tool_calls": None, "finish_reason": "error"} |
|
|
