题意："无法在 Node.js 中使用 LangChain 设置自定义 OpenAI 模型"

问题背景：

I am trying to set "gpt-3.5-turbo" model in my OpenAI instance using langchain in node.js, but below way sends my requests defaultly as text-davinci model.

"我正在尝试在我的 OpenAI 实例中使用 LangChain 在 Node.js 中设置 'gpt-3.5-turbo' 模型，但以下方式默认将我的请求发送为 text-davinci 模型。"

const { OpenAI } = require("langchain/llms");
const { ConversationChain } = require("langchain/chains");
const { BufferMemory } = require("langchain/memory");

const model = new OpenAI({ model:"gpt-3.5-turbo", openAIApiKey: "###", temperature: 0.9 });
const memory = new BufferMemory();

const chain = new ConversationChain({llm:model, memory: memory});

async function x(){
const res = await chain.call({input:"Hello this is xyz!"});
const res2 = await chain.call({input:"Hello what was my name?"});
console.log(res);
console.log(res2);
}

x();

On documentation, i found the way to setting model with python. It sets with model_name attribute on the instance. But this way doesn't work with nodejs. Is there any way to setting custom models with langchain node.js ?

"在文档中，我找到了使用 Python 设置模型的方法，它通过实例中的 model_name 属性进行设置。但这种方法在 Node.js 中不起作用。有没有办法在 LangChain 的 Node.js 版本中设置自定义模型？"

问题解决：

I looked at the codebase and it seems like modelName is the parameter that you should use.

"我查看了代码库，似乎应该使用 `modelName` 参数。"

It's strange that the search function in the docs give no results for modelName. I guess it is the same parameters used in python API but in camel case.

"奇怪的是，文档中的搜索功能没有返回 `modelName` 的结果。我猜这与 Python API 中使用的参数相同，只是使用了驼峰命名法。"

Relationship with Python LangChain

edit

Docs have it here