文件

// 1a. Reference a public file by URL
const fileUrl = "https://docs.x.ai/assets/api-examples/documents/sales-report.txt";

// 1b. Or upload a file and reference by ID
const formData = new FormData();
formData.append("file", new Blob(["Employee: Alice Johnson\\nDepartment: Engineering"], { type: "text/plain" }), "employee.txt");
formData.append("purpose", "assistants");

const uploadRes = await fetch("https://api.x.ai/v1/files", {
  method: "POST",
  headers: { Authorization: \`Bearer \${process.env.XAI_API_KEY}\` },
  body: formData,
});
const uploadedFile = await uploadRes.json();

// 2. Chat with files
const chatRes = await fetch("https://api.x.ai/v1/responses", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    Authorization: \`Bearer \${process.env.XAI_API_KEY}\`,
  },
  body: JSON.stringify({
    model: "grok-4.7",
    input: [
      {
        role: "user",
        content: [
          { type: "input_text", text: "Summarize both documents" },
          { type: "input_file", file_url: fileUrl },
          { type: "input_file", file_id: uploadedFile.id },
        ],
      },
    ],
  }),
});

// 3. Get the answer
const chatData = await chatRes.json();
const lastMessage = chatData.output[chatData.output.length - 1];
const answer = lastMessage?.content?.find((c) => c.type === "output_text")?.text;
console.log(answer);

// 4. Clean up
await fetch(\`https://api.x.ai/v1/files/\${uploadedFile.id}\`, {
  method: "DELETE",
  headers: { Authorization: \`Bearer \${process.env.XAI_API_KEY}\` },
});

import os
from xai_sdk import Client
from xai_sdk.chat import user, file

client = Client(api_key=os.getenv("XAI_API_KEY"))

# 1a. Reference a public file by URL
file_url = "https://example-files.online-convert.com/document/txt/example.txt"

# 1b. Or upload a file and reference by ID
uploaded_file = client.files.upload(
    b"Employee: Alice Johnson\\nDepartment: Engineering",
    filename="employee.txt",
)

# 2. Chat with files
chat = client.chat.create(model="grok-4.7")
chat.append(user(
    "Summarize both documents",
    file(url=file_url),
    file(uploaded_file.id),
))

# 3. Get the answer
response = chat.sample()
print(response.content)

# 4. Clean up uploaded file
client.files.delete(uploaded_file.id)