代码解释器 Beta

assistant = client.beta.assistants.create(
  instructions="你是一位个人数学导师。当被问及数学问题时，请编写并运行代码来回答问题。",
  model="gpt-4-turbo",
  tools=[{"type": "code_interpreter"}]
)

# 上传一个带有“assistants”用途的文件
file = client.files.create(
  file=open("mydata.csv", "rb"),
  purpose='assistants'
)

# 使用文件 ID 创建助手
assistant = client.beta.assistants.create(
  instructions="你是一位个人数学导师。当被问及数学问题时，请编写并运行代码来回答问题。",
  model="gpt-4-turbo",
  tools=[{"type": "code_interpreter"}],
  tool_resources={
    "code_interpreter": {
      "file_ids": [file.id]
    }
  }
)

thread = client.beta.threads.create(
  messages=[
    {
      "role": "user",
      "content": "我需要解方程 `3x + 11 = 14`。你能帮我吗？",
      "attachments": [
        {
          "file_id": file.id,
          "tools": [{"type": "code_interpreter"}]
        }
      ]
    }
  ]
)

{
    "id": "msg_abc123",
    "object": "thread.message",
    "created_at": 1698964262,
    "thread_id": "thread_abc123",
    "role": "assistant",
    "content": [
    {
      "type": "image_file",
      "image_file": {
        "file_id": "file-abc123"
      }
    }
  ]
}

from openai import OpenAI

client = OpenAI()

image_data = client.files.content("file-abc123")
image_data_bytes = image_data.read()

with open("./my-image.png", "wb") as file:
    file.write(image_data_bytes)

{
  "id": "msg_abc123",
  "object": "thread.message",
  "created_at": 1699073585,
  "thread_id": "thread_abc123",
  "role": "assistant",
  "content": [
    {
      "type": "text",
      "text": {
        "value": "The rows of the CSV file have been shuffled and saved to a new CSV file. You can download the shuffled CSV file from the following link:\n\n[Download Shuffled CSV File](sandbox:/mnt/data/shuffled_file.csv)",
        "annotations": [
          {
            "type": "file_path",
            "text": "sandbox:/mnt/data/shuffled_file.csv",
            "start_index": 167,
            "end_index": 202,
            "file_path": {
              "file_id": "file-abc123"
            }
          }
          ...

run_steps = client.beta.threads.runs.steps.list(
  thread_id=thread.id,
  run_id=run.id
)

{
  "object": "list",
  "data": [
    {
      "id": "step_abc123",
      "object": "thread.run.step",
      "type": "tool_calls",
      "run_id": "run_abc123",
      "thread_id": "thread_abc123",
      "status": "completed",
      "step_details": {
        "type": "tool_calls",
        "tool_calls": [
          {
            "type": "code",
            "code": {
              "input": "# Calculating 2 + 2\nresult = 2 + 2\nresult",
              "outputs": [
                {
                  "type": "logs",
                  "logs": "4"
                }
                        ...
 }