OpenAI?函數調用示例及功能入門教程

更新時間：2023年06月25日 09:50:05 作者：文質彬彬的煎餅

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引言

我是AI小火箭的HB，我探索和寫作人工智能和語言交叉點的所有事物，范圍從LLM，聊天機器人，語音機器人，開發(fā)框架，以數據為中心的潛在空間等。

范例

初步體驗

OpenAI新增了“函數調用”功能，這是什么呢？

我們先調用API來體驗下。

下面是發(fā)送到模型的 JSON 文檔。此調用的目的是生成一個 JSON 文件，該文件可用于發(fā)送到發(fā)送電子郵件的 API。
您可以看到函數名稱為 send_email，并定義了三個參數， to_address ， subject 和 body ，即電子郵件正文。
用戶請求為：Send Cobus from humanfirst ai an email asking for the monthly report?

curl --location 'https://api.openai.com/v1/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer sk-xxxx' \
--data '{
  "model": "gpt-3.5-turbo-0613",
  "messages": [
    {"role": "user", "content": "Send Cobus from humanfirst ai an email asking for the monthly report?"}
  ],
  "functions": [
    {
      "name": "send_email",
      "description": "Please send an email.",
      "parameters": {
        "type": "object",
        "properties": {
          "to_address": {
            "type": "string",
            "description": "To address for email"
          },          
          "subject": {
            "type": "string",
            "description": "subject of the email"
          },
          "body": {
            "type": "string",
            "description": "Body of the email"
          }
        }
      }
    }
  ]
}'

下面是返回的 JSON

{
    "id": "chatcmpl-7TQuwzJpQAY470saQM2RPfxwF6DDE",
    "object": "chat.completion",
    "created": 1687249338,
    "model": "gpt-3.5-turbo-0613",
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": null,
                "function_call": {
                    "name": "send_email",
                    "arguments": "{\n  \"to_address\": \"cobus@humanfirst.ai\",\n  \"subject\": \"Request for Monthly Report\",\n  \"body\": \"Hi Cobus,\\n\\nI hope you're doing well. Could you please share the monthly report with me? It would be great to have it before the end of the week.\\n\\nThanks,\\n[Your Name]\"\n}"
                }
            },
            "finish_reason": "function_call"
        }
    ],
    "usage": {
        "prompt_tokens": 86,
        "completion_tokens": 82,
        "total_tokens": 168
    }
}

GPT模型會返回需要調用的函數名 send_email和對應的參數（放在arguments字段）。

{
  "to_address": "cobus@humanfirst.ai",
  "subject": "Request for Monthly Report",
  "body": "Hi Cobus,\n\nI hope you're doing well. Could you please share the monthly report with me? It would be great to have it before the end of the week.\n\nThanks,\n[Your Name]"
}

這就非常有用，第三方的應用可以提供多個函數/服務（類似插件），GPT模型可以根據用戶的指令自動選擇不同的函數/服務。

現在再來看示例，就比較清晰了。