import os
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from openai import OpenAI
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# 请确保您已将 API Key 存储在环境变量 ARK_API_KEY 中
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# 初始化Openai客户端，从环境变量中读取您的API Key
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client = OpenAI(
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# 此为默认路径，您可根据业务所在地域进行配置
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base_url="https://ark.cn-beijing.volces.com/api/v3/bots",
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# 从环境变量中获取您的 API Key
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api_key="5017c24f-581f-48fb-abef-8ac4654e9018", # 直接填写密钥
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)
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# Non-streaming:
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print("----- standard request -----")
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completion = client.chat.completions.create(
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model="bot-20250512103613-6rwj8", # bot-20250512103613-6rwj8 为您当前的智能体的ID，注意此处与Chat API存在差异。差异对比详见 SDK使用指南
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messages=[
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{"role": "system", "content": "你是DeepSeek，是一个 AI 人工智能助手"},
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{"role": "user", "content": "常见的十字花科植物有哪些？"},
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],
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)
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print(completion.choices[0].message.content)
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if hasattr(completion, "references"):
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print(completion.references)
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if hasattr(completion.choices[0].message, "reasoning_content"):
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print(completion.choices[0].message.reasoning_content) # 对于R1模型，输出reasoning content
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# # Streaming:
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# print("----- streaming request -----")
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# stream = client.chat.completions.create(
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# model="bot-20250512103613-6rwj8", # bot-20250512103613-6rwj8 为您当前的智能体的ID，注意此处与Chat API存在差异。差异对比详见 SDK使用指南
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# messages=[
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# {"role": "system", "content": "你是DeepSeek，是一个 AI 人工智能助手"},
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# {"role": "user", "content": "常见的十字花科植物有哪些？"},
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# ],
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# stream=True,
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# )
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# for chunk in stream:
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# if hasattr(chunk, "references"):
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# print(chunk.references)
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# if not chunk.choices:
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# continue
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# if chunk.choices[0].delta.content:
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# print(chunk.choices[0].delta.content, end="")
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# elif hasattr(chunk.choices[0].delta, "reasoning_content"):
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# print(chunk.choices[0].delta.reasoning_content)
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print()
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