코드 실행 도구

curl https://api.anthropic.com/v1/messages \
    --header "x-api-key: $ANTHROPIC_API_KEY" \
    --header "anthropic-version: 2023-06-01" \
    --header "anthropic-beta: code-execution-2025-05-22" \
    --header "content-type: application/json" \
    --data '{
        "model": "claude-opus-4-20250514",
        "max_tokens": 4096,
        "messages": [
            {
                "role": "user",
                "content": "Calculate the mean and standard deviation of [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
            }
        ],
        "tools": [{
            "type": "code_execution_20250522",
            "name": "code_execution"
        }]
    }'

# 먼저 파일을 업로드합니다
curl https://api.anthropic.com/v1/files \
    --header "x-api-key: $ANTHROPIC_API_KEY" \
    --header "anthropic-version: 2023-06-01" \
    --header "anthropic-beta: files-api-2025-04-14" \
    --form 'file=@"data.csv"' \

# 그런 다음 코드 실행과 함께 file_id를 사용합니다
curl https://api.anthropic.com/v1/messages \
    --header "x-api-key: $ANTHROPIC_API_KEY" \
    --header "anthropic-version: 2023-06-01" \
    --header "anthropic-beta: code-execution-2025-05-22,files-api-2025-04-14" \
    --header "content-type: application/json" \
    --data '{
        "model": "claude-opus-4-20250514",
        "max_tokens": 4096,
        "messages": [{
            "role": "user",
            "content": [
                {"type": "text", "text": "Analyze this CSV data"},
                {"type": "container_upload", "file_id": "file_abc123"}
            ]
        }],
        "tools": [{
            "type": "code_execution_20250522",
            "name": "code_execution"
        }]
    }'

from anthropic import Anthropic

# 클라이언트 초기화
client = Anthropic()

# 파일을 생성하는 코드 실행 요청
response = client.beta.messages.create(
    model="claude-opus-4-20250514",
    betas=["code-execution-2025-05-22", "files-api-2025-04-14"],
    max_tokens=4096,
    messages=[{
        "role": "user",
        "content": "Create a matplotlib visualization and save it as output.png"
    }],
    tools=[{
        "type": "code_execution_20250522",
        "name": "code_execution"
    }]
)

# 응답에서 파일 ID 추출
def extract_file_ids(response):
    file_ids = []
    for item in response.content:
        if item.type == 'code_execution_tool_result':
            content_item = item.content
            if content_item.get('type') == 'code_execution_result':
                for file in content_item.get('content', []):
                    file_ids.append(file['file_id'])
    return file_ids

# 생성된 파일 다운로드
for file_id in extract_file_ids(response):
    file_metadata = client.beta.files.retrieve_metadata(file_id)
    file_content = client.beta.files.download(file_id)
    file_content.write_to_file(file_metadata.filename)
    print(f"Downloaded: {file_metadata.filename}")

import os
from anthropic import Anthropic

# 클라이언트 초기화
client = Anthropic(
    api_key=os.getenv("ANTHROPIC_API_KEY")
)

# 첫 번째 요청: 임의의 숫자로 파일 생성
response1 = client.beta.messages.create(
    model="claude-opus-4-20250514",
    betas=["code-execution-2025-05-22"],
    max_tokens=4096,
    messages=[{
        "role": "user",
        "content": "Write a file with a random number and save it to '/tmp/number.txt'"
    }],
    tools=[{
        "type": "code_execution_20250522",
        "name": "code_execution"
    }]
)

# 첫 번째 응답에서 컨테이너 ID 추출
container_id = response1.container.id

# 두 번째 요청: 컨테이너를 재사용하여 파일 읽기
response2 = client.beta.messages.create(
    container=container_id,  # 동일한 컨테이너 재사용
    model="claude-opus-4-20250514",
    betas=["code-execution-2025-05-22"],
    max_tokens=4096,
    messages=[{
        "role": "user",
        "content": "Read the number from '/tmp/number.txt' and calculate its square"
    }],
    tools=[{
        "type": "code_execution_20250522",
        "name": "code_execution"
    }]
)