多轮对话
本指南将介绍如何使用 DeepSeek /chat/completions API 进行多轮对话。
DeepSeek /chat/completions API 是一个“无状态” API,即服务端不记录用户请求的上下文,用户在每次请求时, 需将之前所有对话历史拼接好后 ,传递给对话 API。
下面的代码以 Python 语言,展示了如何进行上下文拼接,以实现多轮对话。
from openai import OpenAIclient = OpenAI(api_key="<DeepSeek API Key>", base_url="https://api.deepseek.com")# Round 1messages = [{"role": "user", "content": "What's the highest mountain in the world?"}]response = client.chat.completions.create( model="deepseek-chat", messages=messages)messages.append(response.choices[0].message)print(f"Messages Round 1: {messages}")# Round 2messages.append({"role": "user", "content": "What is the second?"})response = client.chat.completions.create( model="deepseek-chat", messages=messages)messages.append(response.choices[0].message)print(f"Messages Round 2: {messages}")
在 第一轮 请求时,传递给 API 的 messages 为:
[ {"role": "user", "content": "What's the highest mountain in the world?"}]
在 第二轮 请求时:
- 要将第一轮中模型的输出添加到
messages 末尾
- 将新的提问添加到
messages 末尾
最终传递给 API 的 messages 为:
[ {"role": "user", "content": "What's the highest mountain in the world?"}, {"role": "assistant", "content": "The highest mountain in the world is Mount Everest."}, {"role": "user", "content": "What is the second?"}]