47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
from openai import OpenAI
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client = OpenAI(
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api_key="sk-123",
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base_url="http://localhost:11434/v1"
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)
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stream = True
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conversation_history_origin = []
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conversation_history = conversation_history_origin.copy()
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history_messages_num = 0 # 必须设置为偶数（Q+A），为0则不携带历史对话
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while True:
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query = input('[Q]: ')
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conversation_history.append({"role": "user", "content": query})
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response = client.chat.completions.create(
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model="minimind-local:latest",
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messages=conversation_history[-(history_messages_num or 1):],
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stream=stream,
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temperature=0.8,
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max_tokens=2048,
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top_p=0.8,
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extra_body={"chat_template_kwargs": {"open_thinking": True}, "reasoning_effort": "medium"} # 思考开关
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)
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if not stream:
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if not response.choices or response.choices[0].message is None:
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raise ValueError("LLM returned empty or filtered response")
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assistant_res = response.choices[0].message.content
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print('[A]: ', assistant_res)
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else:
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print('[A]: ', end='', flush=True)
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assistant_res = ''
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for chunk in response:
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if not chunk.choices:
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continue
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delta = chunk.choices[0].delta
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if delta is None:
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continue
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r = getattr(delta, 'reasoning_content', None) or ""
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c = delta.content or ""
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if r:
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print(f'\033[90m{r}\033[0m', end="", flush=True)
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if c:
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print(c, end="", flush=True)
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assistant_res += c
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conversation_history.append({"role": "assistant", "content": assistant_res})
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print('\n\n')
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