File size: 3,174 Bytes
188f4d8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | """OpenAI 兼容 API 客户端。
适用场景：
1. 用户用 ``vllm serve`` / ``sglang`` / ``lmdeploy`` 等起的本地 OpenAI 兼容服务
2. OpenAI 官方 / Gemini-OpenAI-compat / Claude-OpenAI-compat 等公有云
3. 任意自托管的 OpenAI Chat Completions 协议网关
只依赖标准 ``openai`` Python 客户端，不引入任何特殊鉴权 / cos url 逻辑。
"""
from __future__ import annotations
import re
import time
from openai import OpenAI
from ..utils.image_utils import encode_image
from .base import APIBase
DEFAULT_TIMEOUT = 1200
def _split_think_answer(response: str) -> tuple[str, str]:
"""从模型输出中拆出 thinking / final answer。"""
if not response or not response.strip():
return "", ""
m = re.search(r"<think>\n(.*?)\n</think>\n<answer>\n(.*?)\n</answer>", response, flags=re.DOTALL)
if m:
return m.group(1).strip(), m.group(2).strip()
return "", response.strip()
class OpenAICompatAPI(APIBase):
"""走 OpenAI Chat Completions 协议的通用客户端。"""
def __init__(
self,
model_name: str,
base_url: str,
api_key: str = "EMPTY",
max_try: int = 3,
timeout: int = DEFAULT_TIMEOUT,
image_first: bool = True,
):
self.model_name = model_name
self.base_url = base_url
self.api_key = api_key
self.max_try = max_try
self.timeout = timeout
self.image_first = image_first
self.client = OpenAI(base_url=base_url, api_key=api_key)
def __call__(self, img_path: str | None, question: str, temperature: float | None = None, **kwargs):
messages = self._build_messages(img_path, question)
return self._send(messages, temperature=temperature)
def _build_messages(self, img_path: str | None, question: str) -> list[dict]:
if not img_path:
assert question, "question is required when img_path is empty"
return [{"role": "user", "content": [{"type": "text", "text": question}]}]
data_uri = encode_image(img_path)
img_part = {"type": "image_url", "image_url": {"url": data_uri}}
txt_part = {"type": "text", "text": question}
content = [img_part, txt_part] if self.image_first else [txt_part, img_part]
return [{"role": "user", "content": content}]
def _send(self, messages: list[dict], temperature: float | None = None):
for attempt in range(1, self.max_try + 1):
try:
completion = self.client.chat.completions.create(
model=self.model_name,
messages=messages,
temperature=temperature,
timeout=self.timeout,
)
response = completion.choices[0].message.content or ""
thinking, answer = _split_think_answer(response)
return True, thinking, answer
except Exception as e:
print(f"[OpenAICompatAPI] 尝试 {attempt}/{self.max_try} 失败: {e}")
if attempt < self.max_try:
time.sleep(min(2 * attempt, 10))
return False, "", ""
|