使用 DeepSeek 进行多轮对话

在 Python 中使用 DeepSeek

James Chapman

AI Curriculum Lead, DataCamp

助手消息

response = client.chat.completions.create(
  model="deepseek-ai/DeepSeek-V4-Pro",
  messages=[{"role": "system",
             "content": "You are a Python programming tutor who responds using concise,
                         one-sentence explanations."},

{"role": "user", "content": "How do you define a Python list?"},
{"role": "assistant", "content": "Lists are defined by enclosing a comma-separated sequence of objects inside square brackets [ ]."},
{"role": "user", "content": "What is the difference between mutable and immutable objects?"}] )
在 Python 中使用 DeepSeek

构建对话

发送一条用户请求,告诉助手我的名字是 James。助手回复"Hi James!"

在 Python 中使用 DeepSeek

构建对话

助手的"Hi James!"回复被放入 messages 字典列表中。

在 Python 中使用 DeepSeek

构建对话

助手的"Hi James!"回复被放入 messages 字典列表中。

在 Python 中使用 DeepSeek

构建对话

在 messages 字典列表末尾添加一条用户消息:"我叫什么名字?"

在 Python 中使用 DeepSeek

构建对话

助手回复"你的名字是 James。"

在 Python 中使用 DeepSeek
messages = [{"role": "system",
             "content": "You are a Python programming tutor who responds using concise,
                         one-sentence explanations."}]


user_qs = ["Why is Python so popular?", "Summarize this in one sentence."]
for q in user_qs:
print("User: ", q)
user_dict = {"role": "user", "content": q}
messages.append(user_dict)
response = client.chat.completions.create( model="deepseek-ai/DeepSeek-V4-Pro", messages=messages )
assistant_dict = {"role": "assistant", "content": response.choices[0].message.content} messages.append(assistant_dict)
print("Assistant: ", response.choices[0].message.content, "\n")
在 Python 中使用 DeepSeek

与 AI 的对话

User:  Why is Python so popular?
Assistant:  Python is popular because it's easy to learn, has a simple syntax, and
offers powerful libraries for various applications like web development, data
science, and automation. 

User:  Summarize this in one sentence.
Assistant:  Python's simplicity, versatility, and extensive libraries make it
widely popular.
在 Python 中使用 DeepSeek

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在 Python 中使用 DeepSeek

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