400 不支持的数据类型 | Azure开放ai助手问题？

Question

大家好，希望你们做得很好，我在使用 azure open ai 时遇到了问题，其中所有 api 详细信息都是正确的，当我完成聊天时它可以工作，但 ai 助手不想工作，即使我是遵循 azure open ai 文档，这是我的代码：

const
 dotenv = require("dotenv");
dotenv.config();

const
 { AzureOpenAI } = require("openai");

const
 endpoint = process.env["AZURE_OPENAI_ENDPOINT"];
const
 apiKey = process.env["AZURE_OPENAI_API_KEY"];
const
 apiVersion = process.env["API_VERSION"];
const
 deployment = process.env["DEPLOYMENT"]; 
// Replace this value with the deployment name for your model.

const
 client = new AzureOpenAI({ endpoint, apiKey, apiVersion, deployment });

async
 function main() {
  try {
    
const
 assistant = 
await
 client.beta.assistants.create({
      name: "Math Tutor",
      instructions:
        "You are a personal math tutor. Write and run code to answer math questions.",
      tools: [{ type: "code_interpreter" }],
      model: "gpt-4o",
    });

    console.log("Assistant created successfully:", assistant);
  } catch (error) {
    console.error("Error creating assistant:", error);
  }
}

main();

The error : Error creating assistant: BadRequestError: 400 Unsupported data type

Answer 1

请参阅下面我的代码。这似乎对我有用。可以尝试添加您的端点详细信息并查看。代码来自 https://learn.microsoft.com/en-us/azure/ai-services/openai/assistants-quickstart?tabs=command-line%2Cjavascript-key%2Ctypescript-keyless&pivots=programming-language-javascript

我使用的软件包版本是：“openai”：“^4.62.1”

const { AzureOpenAI } = require("openai");

const azureOpenAIEndpoint = "https://xxxxx.openai.azure.com/";
const azureOpenAIKey =
  "xxxxx";
const azureOpenAIVersion = "2024-08-01-preview";
const azureOpenAIDeployment = "xxxx-2"; // gpt-4o
// Replace this value with the deployment name for your model.

const main = async () => {
  // Check env variables
  if (
    !azureOpenAIKey ||
    !azureOpenAIEndpoint ||
    !azureOpenAIDeployment ||
    !azureOpenAIVersion
  ) {
    throw new Error(
      "Please set AZURE_OPENAI_KEY and AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_DEPLOYMENT_NAME in your environment variables."
    );
  }

  // Get Azure SDK client
  const getClient = () => {
    const assistantsClient = new AzureOpenAI({
      endpoint: azureOpenAIEndpoint,
      apiVersion: azureOpenAIVersion,
      apiKey: azureOpenAIKey,
    });
    return assistantsClient;
  };

  const assistantsClient = getClient();

  const options = {
    model: azureOpenAIDeployment, // Deployment name seen in Azure AI Foundry portal
    name: "Math Tutor",
    instructions:
      "You are a personal math tutor. Write and run JavaScript code to answer math questions.",
    tools: [{ type: "code_interpreter" }],
  };
  const role = "user";
  const message =
    "I need to solve the equation `3x + 11 = 14`. Can you help me?";

  // Create an assistant
  const assistantResponse = await assistantsClient.beta.assistants.create(
    options
  );
  console.log(`Assistant created: ${JSON.stringify(assistantResponse)}`);

  // Create a thread
  const assistantThread = await assistantsClient.beta.threads.create({});
  console.log(`Thread created: ${JSON.stringify(assistantThread)}`);

  // Add a user question to the thread
  const threadResponse = await assistantsClient.beta.threads.messages.create(
    assistantThread.id,
    {
      role,
      content: message,
    }
  );
  console.log(`Message created:  ${JSON.stringify(threadResponse)}`);

  // Run the thread and poll it until it is in a terminal state
  const runResponse = await assistantsClient.beta.threads.runs.createAndPoll(
    assistantThread.id,
    {
      assistant_id: assistantResponse.id,
    },
    { pollIntervalMs: 500 }
  );
  console.log(`Run created:  ${JSON.stringify(runResponse)}`);

  // Get the messages
  const runMessages = await assistantsClient.beta.threads.messages.list(
    assistantThread.id
  );
  for await (const runMessageDatum of runMessages) {
    for (const item of runMessageDatum.content) {
      // types are: "image_file" or "text"
      if (item.type === "text") {
        console.log(`Message content: ${JSON.stringify(item.text?.value)}`);
      }
    }
  }
};

main().catch(console.error);