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官网\] https://console.volcengine.com/ark/region:ark+cn-beijing/experience/chat  * ### 开通模型  * ### 创建推理接入点   * ### 调用参数API Key、model   ## 调用 ### SDK调用 > pip install --upgrade 'volcengine-python-sdk\[ark\]' ```python from volcenginesdkarkruntime import Ark client = Ark( base_url="https://ark.cn-beijing.volces.com/api/v3", api_key="上面获取的api-key" ) # Non-streaming: print("----- standard request -----") completion = client.chat.completions.create( model="上面获取的model", messages = [ {"role": "system", "content": "你是豆包，是由字节跳动开发的 AI 人工智能助手"}, {"role": "user", "content": "常见的十字花科植物有哪些？"}, ], ) print(completion.choices[0].message.content) # Streaming: 流式调用 print("----- streaming request -----") stream = client.chat.completions.create( model="上面获取的model", messages = [ {"role": "system", "content": "你是豆包，是由字节跳动开发的 AI 人工智能助手"}, {"role": "user", "content": "常见的十字花科植物有哪些？"}, ], stream=True ) for chunk in stream: if not chunk.choices: continue print(chunk.choices[0].delta.content, end="") ``` ### HTTP调用 > # url https://ark.cn-beijing.volces.com/api/v3 > > # json_date { model:"上面获取的model",messages = \[{"role": "system", "content": "你是豆包，是由字节跳动开发的 AI 人工智能助手"},{"role": "user", "content": "常见的十字花科植物有哪些？"},\]} > > # sk 上面获取的api-key ```python async def get_common_content(url,json_data,sk): try: async with aiohttp.ClientSession() as session: authorization = "Bearer "+ (str(sk)) # print(f"**** 调用接口 -{url}-{json_data}-{authorization}****") headers = {"Content-Type": 'application/json',"Authorization": authorization } async with session.post(url,data = json.dumps(json_data), headers = headers) as response: return await response.text() except Exception as e: print(f"**ERROR 调用模型失败....{e}**") ```