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api.py
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from openai import OpenAI
import os
import logging
import time
class LLMCall:
def __init__(self, model_name, API_key=None, max_tokens=256) -> None:
super().__init__()
self.API_key = ""
self.model_name = model_name
self.max_tokens = max_tokens # ★★ 新增：最大生成 token 限制 默认 256
# ====== API Base + Key 按模型类型自动选择 ======
if self.model_name.lower().startswith("deepseek") and '7b' in self.model_name.lower():
API_base = ""
elif self.model_name.lower().startswith("deepseek") and '32b' in self.model_name.lower():
API_base = ""
self.API_key = ""
elif self.model_name.lower().startswith("qwen") and '7b' in self.model_name.lower():
API_base = ""
elif self.model_name.lower().startswith("llama3") and '8b' in self.model_name.lower():
API_base = ""
elif self.model_name.lower().startswith('llama3') and '70b' in self.model_name.lower():
API_base = ""
self.API_key = ""
elif self.model_name.lower().startswith('gpt'):
API_base = ""
self.API_key = ""
elif self.model_name == 'r1-api':
API_base = ""
self.API_key = ""
elif self.model_name == 'v3-api':
API_base = ""
self.API_key = ""
self.client = OpenAI(api_key=self.API_key, base_url=API_base)
# ====== 对外接口 ======
def call(self, messages, seed=0, temperature=1.0):
response = None
while response is None:
try:
# ====== Deepseek 7B ======
if self.model_name.lower().startswith("deepseek") and '7b' in self.model_name.lower():
response = self.client.chat.completions.create(
model="/data/share_weight/DeepSeek-R1-Distill-Qwen-7B",
messages=messages,
temperature=temperature,
seed=seed,
max_tokens=self.max_tokens # ★★ 新增
)
# ====== Deepseek 32B ======
elif self.model_name.lower().startswith("deepseek") and '32b' in self.model_name.lower():
response = self.client.chat.completions.create(
model="deepseek-r1-distill-qwen-32b-250120",
messages=messages,
temperature=temperature,
seed=seed,
max_tokens=self.max_tokens
)
# ====== Qwen ======
elif self.model_name.lower().startswith("qwen") and '7b' in self.model_name.lower():
response = self.client.chat.completions.create(
model="/data/share_weight/Qwen2.5-7B-Instruct",
messages=messages,
temperature=temperature,
seed=seed,
max_tokens=self.max_tokens
)
# ====== Llama3 8B ======
elif self.model_name.lower().startswith("llama3.1") and '8b' in self.model_name.lower():
response = self.client.chat.completions.create(
model="/data/share_weight/Llama-3.1-8B-Instruct",
messages=messages,
temperature=temperature,
seed=seed,
max_tokens=self.max_tokens
)
elif self.model_name.lower().startswith("llama3.2") and '11b' in self.model_name.lower():
response = self.client.chat.completions.create(
model="/data/share_weight/Llama-3.2-11B-Vision-Instruct",
messages=messages,
temperature=temperature,
seed=seed,
max_tokens=self.max_tokens
)
elif self.model_name.lower().startswith("llama3") and '8b' in self.model_name.lower():
response = self.client.chat.completions.create(
model="/data/share_weight/Meta-Llama-3-8B-Instruct",
messages=messages,
temperature=temperature,
seed=seed,
max_tokens=self.max_tokens
)
# ====== Llama3 70B ======
elif self.model_name.lower().startswith('llama3') and '70b' in self.model_name.lower():
response = self.client.chat.completions.create(
model="llama3-70b",
messages=messages,
temperature=temperature,
seed=seed,
max_tokens=self.max_tokens
)
# ====== o3-mini ======
elif 'o3-mini' in self.model_name.lower():
response = self.client.chat.completions.create(
model='o3-mini',
messages=messages,
temperature=temperature,
max_tokens=self.max_tokens
)
# ====== GPT 系列 ======
elif 'gpt' in self.model_name.lower():
if '4o-mini' in self.model_name:
response = self.client.chat.completions.create(
model='gpt-4o-mini',
messages=messages,
temperature=temperature,
max_tokens=self.max_tokens
)
elif 'gpt-4' in self.model_name:
response = self.client.chat.completions.create(
model='gpt-4-turbo',
messages=messages,
temperature=temperature,
max_tokens=self.max_tokens
)
elif 'gpt-3.5' in self.model_name:
response = self.client.chat.completions.create(
model='gpt-3.5-turbo',
messages=messages,
temperature=temperature,
max_tokens=self.max_tokens
)
# ====== r1-api ======
elif self.model_name == 'r1-api':
response = self.client.chat.completions.create(
model='deepseek-reasoner',
messages=messages,
temperature=temperature,
max_tokens=self.max_tokens
)
# ====== v3-api ======
elif self.model_name == 'v3-api':
response = self.client.chat.completions.create(
model='deepseek-v3-250324',
messages=messages,
temperature=temperature,
max_tokens=self.max_tokens
)
else:
return "Unsupported model name."
except Exception as e:
logging.warning(e)
return "Unable to reach the response due to some reasons."
return response.choices[0].message.content