chatgpt升级啦，训练数据时间更新到2023年4月，支持tools（升级functionCall），128k上下文

（2023年11月7日）

gpt-4-1106-preview

https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo

训练数据日期升级到2023年四月

上线文增加到128k

调用一次chatgpt接口，可以得到多次函数调用

import OpenAI from "openai";
const openai = new OpenAI();// Example dummy function hard coded to return the same weather
// In production, this could be your backend API or an external API
function getCurrentWeather(location, unit = "fahrenheit") {if (location.toLowerCase().includes("tokyo")) {return JSON.stringify({ location, temperature: "10", unit: "celsius" });} else if (location.toLowerCase().includes("san francisco")) {return JSON.stringify({ location, temperature: "72", unit: "fahrenheit" });} else {return JSON.stringify({ location, temperature: "22", unit: "celsius" });}
}async function runConversation() {// Step 1: send the conversation and available functions to the modelconst messages = [{ role: "user", content: "What's the weather like in San Francisco, Tokyo, and Paris?" },];const tools = [{type: "function",function: {name: "get_current_weather",description: "Get the current weather in a given location",parameters: {type: "object",properties: {location: {type: "string",description: "The city and state, e.g. San Francisco, CA",},unit: { type: "string", enum: ["celsius", "fahrenheit"] },},required: ["location"],},},},];const response = await openai.chat.completions.create({model: "gpt-3.5-turbo-1106",messages: messages,tools: tools,tool_choice: "auto", // auto is default, but we'll be explicit});const responseMessage = response.choices[0].message;// Step 2: check if the model wanted to call a functionconst toolCalls = responseMessage.tool_calls;if (responseMessage.tool_calls) {// Step 3: call the function// Note: the JSON response may not always be valid; be sure to handle errorsconst availableFunctions = {get_current_weather: getCurrentWeather,}; // only one function in this example, but you can have multiplemessages.push(responseMessage); // extend conversation with assistant's replyfor (const toolCall of toolCalls) {const functionName = toolCall.function.name;const functionToCall = availableFunctions[functionName];const functionArgs = JSON.parse(toolCall.function.arguments);const functionResponse = functionToCall(functionArgs.location,functionArgs.unit);messages.push({tool_call_id: toolCall.id,role: "tool",name: functionName,content: functionResponse,}); // extend conversation with function response}const secondResponse = await openai.chat.completions.create({model: "gpt-3.5-turbo-1106",messages: messages,}); // get a new response from the model where it can see the function responsereturn secondResponse.choices;}
}runConversation().then(console.log).catch(console.error);