Code execution tool

Claude can analyze data, create visualizations, perform complex calculations, run system commands, create and edit files, and process uploaded files directly within the API conversation. The code execution tool allows Claude to run Bash commands and manipulate files, including writing code, in a secure, sandboxed environment.

The code execution tool is currently in public beta.To use this feature, add the "code-execution-2025-08-25" beta header to your API requests.

Model compatibility

The code execution tool is available on the following models:

Model	Tool Version
Claude Opus 4.5 (`claude-opus-4-5-20251101`)	`code_execution_20250825`
Claude Opus 4.1 (`claude-opus-4-1-20250805`)	`code_execution_20250825`
Claude Opus 4 (`claude-opus-4-20250514`)	`code_execution_20250825`
Claude Sonnet 4.5 (`claude-sonnet-4-5-20250929`)	`code_execution_20250825`
Claude Sonnet 4 (`claude-sonnet-4-20250514`)	`code_execution_20250825`
Claude Sonnet 3.7 (`claude-3-7-sonnet-20250219`) (deprecated)	`code_execution_20250825`
Claude Haiku 4.5 (`claude-haiku-4-5-20251001`)	`code_execution_20250825`
Claude Haiku 3.5 (`claude-3-5-haiku-latest`)	`code_execution_20250825`

The current version code_execution_20250825 supports Bash commands and file operations. A legacy version code_execution_20250522 (Python only) is also available. See Upgrade to latest tool version for migration details.

Older tool versions are not guaranteed to be backwards-compatible with newer models. Always use the tool version that corresponds to your model version.

Quick start

Here’s a simple example that asks Claude to perform a calculation:

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-2025-08-25" \
    --header "content-type: application/json" \
    --data '{
        "model": "claude-sonnet-4-5",
        "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_20250825",
            "name": "code_execution"
        }]
    }'

import anthropic

client = anthropic.Anthropic()

response = client.beta.messages.create(
    model="claude-sonnet-4-5",
    betas=["code-execution-2025-08-25"],
    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_20250825",
        "name": "code_execution"
    }]
)

print(response)

import { Anthropic } from '@anthropic-ai/sdk';

const anthropic = new Anthropic();

async function main() {
  const response = await anthropic.beta.messages.create({
    model: "claude-sonnet-4-5",
    betas: ["code-execution-2025-08-25"],
    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_20250825",
      name: "code_execution"
    }]
  });

  console.log(response);
}

main().catch(console.error);

How code execution works

When you add the code execution tool to your API request:

Claude evaluates whether code execution would help answer your question
The tool automatically provides Claude with the following capabilities:
- Bash commands: Execute shell commands for system operations and package management
- File operations: Create, view, and edit files directly, including writing code
Claude can use any combination of these capabilities in a single request
All operations run in a secure sandbox environment
Claude provides results with any generated charts, calculations, or analysis

How to use the tool

Execute Bash commands

Ask Claude to check system information and install packages:

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-2025-08-25" \
    --header "content-type: application/json" \
    --data '{
        "model": "claude-sonnet-4-5",
        "max_tokens": 4096,
        "messages": [{
            "role": "user",
            "content": "Check the Python version and list installed packages"
        }],
        "tools": [{
            "type": "code_execution_20250825",
            "name": "code_execution"
        }]
    }'

response = client.beta.messages.create(
    model="claude-sonnet-4-5",
    betas=["code-execution-2025-08-25"],
    max_tokens=4096,
    messages=[{
        "role": "user",
        "content": "Check the Python version and list installed packages"
    }],
    tools=[{
        "type": "code_execution_20250825",
        "name": "code_execution"
    }]
)

const response = await anthropic.beta.messages.create({
  model: "claude-sonnet-4-5",
  betas: ["code-execution-2025-08-25"],
  max_tokens: 4096,
  messages: [{
    role: "user",
    content: "Check the Python version and list installed packages"
  }],
  tools: [{
    type: "code_execution_20250825",
    name: "code_execution"
  }]
});

Create and edit files directly

Claude can create, view, and edit files directly in the sandbox using the file manipulation capabilities:

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-2025-08-25" \
    --header "content-type: application/json" \
    --data '{
        "model": "claude-sonnet-4-5",
        "max_tokens": 4096,
        "messages": [{
            "role": "user",
            "content": "Create a config.yaml file with database settings, then update the port from 5432 to 3306"
        }],
        "tools": [{
            "type": "code_execution_20250825",
            "name": "code_execution"
        }]
    }'

response = client.beta.messages.create(
    model="claude-sonnet-4-5",
    betas=["code-execution-2025-08-25"],
    max_tokens=4096,
    messages=[{
        "role": "user",
        "content": "Create a config.yaml file with database settings, then update the port from 5432 to 3306"
    }],
    tools=[{
        "type": "code_execution_20250825",
        "name": "code_execution"
    }]
)

const response = await anthropic.beta.messages.create({
  model: "claude-sonnet-4-5",
  betas: ["code-execution-2025-08-25"],
  max_tokens: 4096,
  messages: [{
    role: "user",
    content: "Create a config.yaml file with database settings, then update the port from 5432 to 3306"
  }],
  tools: [{
    type: "code_execution_20250825",
    name: "code_execution"
  }]
});

Upload and analyze your own files

To analyze your own data files (CSV, Excel, images, etc.), upload them via the Files API and reference them in your request:

Using the Files API with Code Execution requires two beta headers: "anthropic-beta": "code-execution-2025-08-25,files-api-2025-04-14"

The Python environment can process various file types uploaded via the Files API, including:

CSV
Excel (.xlsx, .xls)
JSON
XML
Images (JPEG, PNG, GIF, WebP)
Text files (.txt, .md, .py, etc)

Upload and analyze files

Upload your file using the Files API
Reference the file in your message using a container_upload content block
Include the code execution tool in your API request

# First, upload a file
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"' \

# Then use the file_id with code execution
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-2025-08-25,files-api-2025-04-14" \
    --header "content-type: application/json" \
    --data '{
        "model": "claude-sonnet-4-5",
        "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_20250825",
            "name": "code_execution"
        }]
    }'

import anthropic

client = anthropic.Anthropic()

# Upload a file
file_object = client.beta.files.upload(
    file=open("data.csv", "rb"),
)

# Use the file_id with code execution
response = client.beta.messages.create(
    model="claude-sonnet-4-5",
    betas=["code-execution-2025-08-25", "files-api-2025-04-14"],
    max_tokens=4096,
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Analyze this CSV data"},
            {"type": "container_upload", "file_id": file_object.id}
        ]
    }],
    tools=[{
        "type": "code_execution_20250825",
        "name": "code_execution"
    }]
)

import { Anthropic } from '@anthropic-ai/sdk';
import { createReadStream } from 'fs';

const anthropic = new Anthropic();

async function main() {
  // Upload a file
  const fileObject = await anthropic.beta.files.create({
    file: createReadStream("data.csv"),
  });

  // Use the file_id with code execution
  const response = await anthropic.beta.messages.create({
    model: "claude-sonnet-4-5",
    betas: ["code-execution-2025-08-25", "files-api-2025-04-14"],
    max_tokens: 4096,
    messages: [{
      role: "user",
      content: [
        { type: "text", text: "Analyze this CSV data" },
        { type: "container_upload", file_id: fileObject.id }
      ]
    }],
    tools: [{
      type: "code_execution_20250825",
      name: "code_execution"
    }]
  });

  console.log(response);
}

main().catch(console.error);

Retrieve generated files

When Claude creates files during code execution, you can retrieve these files using the Files API:

from anthropic import Anthropic

# Initialize the client
client = Anthropic()

# Request code execution that creates files
response = client.beta.messages.create(
    model="claude-sonnet-4-5",
    betas=["code-execution-2025-08-25", "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_20250825",
        "name": "code_execution"
    }]
)

# Extract file IDs from the response
def extract_file_ids(response):
    file_ids = []
    for item in response.content:
        if item.type == 'bash_code_execution_tool_result':
            content_item = item.content
            if content_item.type == 'bash_code_execution_result':
                for file in content_item.content:
                    if hasattr(file, 'file_id'):
                        file_ids.append(file.file_id)
    return file_ids

# Download the created files
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 { Anthropic } from '@anthropic-ai/sdk';
import { writeFileSync } from 'fs';

// Initialize the client
const anthropic = new Anthropic();

async function main() {
  // Request code execution that creates files
  const response = await anthropic.beta.messages.create({
    model: "claude-sonnet-4-5",
    betas: ["code-execution-2025-08-25", "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_20250825",
      name: "code_execution"
    }]
  });

  // Extract file IDs from the response
  function extractFileIds(response: any): string[] {
    const fileIds: string[] = [];
    for (const item of response.content) {
      if (item.type === 'bash_code_execution_tool_result') {
        const contentItem = item.content;
        if (contentItem.type === 'bash_code_execution_result' && contentItem.content) {
          for (const file of contentItem.content) {
            fileIds.push(file.file_id);
          }
        }
      }
    }
    return fileIds;
  }

  // Download the created files
  const fileIds = extractFileIds(response);
  for (const fileId of fileIds) {
    const fileMetadata = await anthropic.beta.files.retrieveMetadata(fileId);
    const fileContent = await anthropic.beta.files.download(fileId);

    // Convert ReadableStream to Buffer and save
    const chunks: Uint8Array[] = [];
    for await (const chunk of fileContent) {
      chunks.push(chunk);
    }
    const buffer = Buffer.concat(chunks);
    writeFileSync(fileMetadata.filename, buffer);
    console.log(`Downloaded: ${fileMetadata.filename}`);
  }
}

main().catch(console.error);

Combine operations

A complex workflow using all capabilities:

# First, upload a file
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"' \
    > file_response.json

# Extract file_id (using jq)
FILE_ID=$(jq -r '.id' file_response.json)

# Then use it with code execution
curl https://api.anthropic.com/v1/messages \
    --header "x-api-key: $ANTHROPIC_API_KEY" \
    --header "anthropic-version: 2023-06-01" \
    --header "anthropic-beta: code-execution-2025-08-25,files-api-2025-04-14" \
    --header "content-type: application/json" \
    --data '{
        "model": "claude-sonnet-4-5",
        "max_tokens": 4096,
        "messages": [{
            "role": "user",
            "content": [
                {
                    "type": "text", 
                    "text": "Analyze this CSV data: create a summary report, save visualizations, and create a README with the findings"
                },
                {
                    "type": "container_upload", 
                    "file_id": "'$FILE_ID'"
                }
            ]
        }],
        "tools": [{
            "type": "code_execution_20250825",
            "name": "code_execution"
        }]
    }'

# Upload a file
file_object = client.beta.files.upload(
    file=open("data.csv", "rb"),
)

# Use it with code execution
response = client.beta.messages.create(
    model="claude-sonnet-4-5",
    betas=["code-execution-2025-08-25", "files-api-2025-04-14"],
    max_tokens=4096,
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Analyze this CSV data: create a summary report, save visualizations, and create a README with the findings"},
            {"type": "container_upload", "file_id": file_object.id}
        ]
    }],
    tools=[{
        "type": "code_execution_20250825",
        "name": "code_execution"
    }]
)

# Claude might:
# 1. Use bash to check file size and preview data
# 2. Use text_editor to write Python code to analyze the CSV and create visualizations
# 3. Use bash to run the Python code
# 4. Use text_editor to create a README.md with findings
# 5. Use bash to organize files into a report directory

// Upload a file
const fileObject = await anthropic.beta.files.create({
  file: createReadStream("data.csv"),
});

// Use it with code execution
const response = await anthropic.beta.messages.create({
  model: "claude-sonnet-4-5",
  betas: ["code-execution-2025-08-25", "files-api-2025-04-14"],
  max_tokens: 4096,
  messages: [{
    role: "user",
    content: [
      {type: "text", text: "Analyze this CSV data: create a summary report, save visualizations, and create a README with the findings"},
      {type: "container_upload", file_id: fileObject.id}
    ]
  }],
  tools: [{
    type: "code_execution_20250825",
    name: "code_execution"
  }]
});

// Claude might:
// 1. Use bash to check file size and preview data
// 2. Use text_editor to write Python code to analyze the CSV and create visualizations
// 3. Use bash to run the Python code
// 4. Use text_editor to create a README.md with findings
// 5. Use bash to organize files into a report directory

Tool definition

The code execution tool requires no additional parameters:

JSON

{
  "type": "code_execution_20250825",
  "name": "code_execution"
}

When this tool is provided, Claude automatically gains access to two sub-tools:

bash_code_execution: Run shell commands
text_editor_code_execution: View, create, and edit files, including writing code

Response format

The code execution tool can return two types of results depending on the operation:

Bash command response

{
  "type": "server_tool_use",
  "id": "srvtoolu_01B3C4D5E6F7G8H9I0J1K2L3",
  "name": "bash_code_execution",
  "input": {
    "command": "ls -la | head -5"
  }
},
{
  "type": "bash_code_execution_tool_result",
  "tool_use_id": "srvtoolu_01B3C4D5E6F7G8H9I0J1K2L3",
  "content": {
    "type": "bash_code_execution_result",
    "stdout": "total 24\ndrwxr-xr-x 2 user user 4096 Jan 1 12:00 .\ndrwxr-xr-x 3 user user 4096 Jan 1 11:00 ..\n-rw-r--r-- 1 user user  220 Jan 1 12:00 data.csv\n-rw-r--r-- 1 user user  180 Jan 1 12:00 config.json",
    "stderr": "",
    "return_code": 0
  }
}

File operation responses

View file:

{
  "type": "server_tool_use",
  "id": "srvtoolu_01C4D5E6F7G8H9I0J1K2L3M4",
  "name": "text_editor_code_execution",
  "input": {
    "command": "view",
    "path": "config.json"
  }
},
{
  "type": "text_editor_code_execution_tool_result",
  "tool_use_id": "srvtoolu_01C4D5E6F7G8H9I0J1K2L3M4",
  "content": {
    "type": "text_editor_code_execution_result",
    "file_type": "text",
    "content": "{\n  \"setting\": \"value\",\n  \"debug\": true\n}",
    "numLines": 4,
    "startLine": 1,
    "totalLines": 4
  }
}

Create file:

{
  "type": "server_tool_use",
  "id": "srvtoolu_01D5E6F7G8H9I0J1K2L3M4N5",
  "name": "text_editor_code_execution",
  "input": {
    "command": "create",
    "path": "new_file.txt",
    "file_text": "Hello, World!"
  }
},
{
  "type": "text_editor_code_execution_tool_result",
  "tool_use_id": "srvtoolu_01D5E6F7G8H9I0J1K2L3M4N5",
  "content": {
    "type": "text_editor_code_execution_result",
    "is_file_update": false
  }
}

Edit file (str_replace):

{
  "type": "server_tool_use",
  "id": "srvtoolu_01E6F7G8H9I0J1K2L3M4N5O6",
  "name": "text_editor_code_execution",
  "input": {
    "command": "str_replace",
    "path": "config.json",
    "old_str": "\"debug\": true",
    "new_str": "\"debug\": false"
  }
},
{
  "type": "text_editor_code_execution_tool_result",
  "tool_use_id": "srvtoolu_01E6F7G8H9I0J1K2L3M4N5O6",
  "content": {
    "type": "text_editor_code_execution_result",
    "oldStart": 3,
    "oldLines": 1,
    "newStart": 3,
    "newLines": 1,
    "lines": ["-  \"debug\": true", "+  \"debug\": false"]
  }
}

Results

All execution results include:

stdout: Output from successful execution
stderr: Error messages if execution fails
return_code: 0 for success, non-zero for failure

Additional fields for file operations:

View: file_type, content, numLines, startLine, totalLines
Create: is_file_update (whether file already existed)
Edit: oldStart, oldLines, newStart, newLines, lines (diff format)

Errors

Each tool type can return specific errors: Common errors (all tools):

{
  "type": "bash_code_execution_tool_result",
  "tool_use_id": "srvtoolu_01VfmxgZ46TiHbmXgy928hQR",
  "content": {
    "type": "bash_code_execution_tool_result_error",
    "error_code": "unavailable"
  }
}

Error codes by tool type:

Tool	Error Code	Description
All tools	`unavailable`	The tool is temporarily unavailable
All tools	`execution_time_exceeded`	Execution exceeded maximum time limit
All tools	`container_expired`	Container expired and is no longer available
All tools	`invalid_tool_input`	Invalid parameters provided to the tool
All tools	`too_many_requests`	Rate limit exceeded for tool usage
text_editor	`file_not_found`	File doesn’t exist (for view/edit operations)
text_editor	`string_not_found`	The `old_str` not found in file (for str_replace)

`pause_turn` stop reason

The response may include a pause_turn stop reason, which indicates that the API paused a long-running turn. You may provide the response back as-is in a subsequent request to let Claude continue its turn, or modify the content if you wish to interrupt the conversation.

Containers

The code execution tool runs in a secure, containerized environment designed specifically for code execution, with a higher focus on Python.

Runtime environment

Python version: 3.11.12
Operating system: Linux-based container
Architecture: x86_64 (AMD64)

Resource limits

Memory: 5GiB RAM
Disk space: 5GiB workspace storage
CPU: 1 CPU

Networking and security

Internet access: Completely disabled for security
External connections: No outbound network requests permitted
Sandbox isolation: Full isolation from host system and other containers
File access: Limited to workspace directory only
Workspace scoping: Like Files, containers are scoped to the workspace of the API key
Expiration: Containers expire 30 days after creation

Pre-installed libraries

The sandboxed Python environment includes these commonly used libraries:

Data Science: pandas, numpy, scipy, scikit-learn, statsmodels
Visualization: matplotlib, seaborn
File Processing: pyarrow, openpyxl, xlsxwriter, xlrd, pillow, python-pptx, python-docx, pypdf, pdfplumber, pypdfium2, pdf2image, pdfkit, tabula-py, reportlab[pycairo], Img2pdf
Math & Computing: sympy, mpmath
Utilities: tqdm, python-dateutil, pytz, joblib, unzip, unrar, 7zip, bc, rg (ripgrep), fd, sqlite

Container reuse

You can reuse an existing container across multiple API requests by providing the container ID from a previous response. This allows you to maintain created files between requests.

Example

import os
from anthropic import Anthropic

# Initialize the client
client = Anthropic(
    api_key=os.getenv("ANTHROPIC_API_KEY")
)

# First request: Create a file with a random number
response1 = client.beta.messages.create(
    model="claude-sonnet-4-5",
    betas=["code-execution-2025-08-25"],
    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_20250825",
        "name": "code_execution"
    }]
)

# Extract the container ID from the first response
container_id = response1.container.id

# Second request: Reuse the container to read the file
response2 = client.beta.messages.create(
    container=container_id,  # Reuse the same container
    model="claude-sonnet-4-5",
    betas=["code-execution-2025-08-25"],
    max_tokens=4096,
    messages=[{
        "role": "user",
        "content": "Read the number from '/tmp/number.txt' and calculate its square"
    }],
    tools=[{
        "type": "code_execution_20250825",
        "name": "code_execution"
    }]
)

import { Anthropic } from '@anthropic-ai/sdk';

const anthropic = new Anthropic();

async function main() {
  // First request: Create a file with a random number
  const response1 = await anthropic.beta.messages.create({
    model: "claude-sonnet-4-5",
    betas: ["code-execution-2025-08-25"],
    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_20250825",
      name: "code_execution"
    }]
  });

  // Extract the container ID from the first response
  const containerId = response1.container.id;

  // Second request: Reuse the container to read the file
  const response2 = await anthropic.beta.messages.create({
    container: containerId,  // Reuse the same container
    model: "claude-sonnet-4-5",
    betas: ["code-execution-2025-08-25"],
    max_tokens: 4096,
    messages: [{
      role: "user",
      content: "Read the number from '/tmp/number.txt' and calculate its square"
    }],
    tools: [{
      type: "code_execution_20250825",
      name: "code_execution"
    }]
  });

  console.log(response2.content);
}

main().catch(console.error);

# First request: Create a file with a random number
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-2025-08-25" \
    --header "content-type: application/json" \
    --data '{
        "model": "claude-sonnet-4-5",
        "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_20250825",
            "name": "code_execution"
        }]
    }' > response1.json

# Extract container ID from the response (using jq)
CONTAINER_ID=$(jq -r '.container.id' response1.json)

# Second request: Reuse the container to read the file
curl https://api.anthropic.com/v1/messages \
    --header "x-api-key: $ANTHROPIC_API_KEY" \
    --header "anthropic-version: 2023-06-01" \
    --header "anthropic-beta: code-execution-2025-08-25" \
    --header "content-type: application/json" \
    --data '{
        "container": "'$CONTAINER_ID'",
        "model": "claude-sonnet-4-5",
        "max_tokens": 4096,
        "messages": [{
            "role": "user",
            "content": "Read the number from \"/tmp/number.txt\" and calculate its square"
        }],
        "tools": [{
            "type": "code_execution_20250825",
            "name": "code_execution"
        }]
    }'

Streaming

With streaming enabled, you’ll receive code execution events as they occur:

event: content_block_start
data: {"type": "content_block_start", "index": 1, "content_block": {"type": "server_tool_use", "id": "srvtoolu_xyz789", "name": "code_execution"}}

// Code execution streamed
event: content_block_delta
data: {"type": "content_block_delta", "index": 1, "delta": {"type": "input_json_delta", "partial_json": "{\"code\":\"import pandas as pd\\ndf = pd.read_csv('data.csv')\\nprint(df.head())\"}"}}

// Pause while code executes

// Execution results streamed
event: content_block_start
data: {"type": "content_block_start", "index": 2, "content_block": {"type": "code_execution_tool_result", "tool_use_id": "srvtoolu_xyz789", "content": {"stdout": "   A  B  C\n0  1  2  3\n1  4  5  6", "stderr": ""}}}

Batch requests

You can include the code execution tool in the Messages Batches API. Code execution tool calls through the Messages Batches API are priced the same as those in regular Messages API requests.

Usage and pricing

Code execution tool usage is tracked separately from token usage. Execution time has a minimum of 5 minutes. If files are included in the request, execution time is billed even if the tool is not used due to files being preloaded onto the container. Each organization receives 50 free hours of usage with the code execution tool per day. Additional usage beyond the first 50 hours is billed at $0.05 per hour, per container.

Upgrade to latest tool version

By upgrading to code-execution-2025-08-25, you get access to file manipulation and Bash capabilities, including code in multiple languages. There is no price difference.

What’s changed

Component	Legacy	Current
Beta header	`code-execution-2025-05-22`	`code-execution-2025-08-25`
Tool type	`code_execution_20250522`	`code_execution_20250825`
Capabilities	Python only	Bash commands, file operations
Response types	`code_execution_result`	`bash_code_execution_result`, `text_editor_code_execution_result`

Backward compatibility

All existing Python code execution continues to work exactly as before
No changes required to existing Python-only workflows

Upgrade steps

To upgrade, you need to make the following changes in your API requests:

Update the beta header:

- "anthropic-beta": "code-execution-2025-05-22"
+ "anthropic-beta": "code-execution-2025-08-25"

Update the tool type:

- "type": "code_execution_20250522"
+ "type": "code_execution_20250825"

Review response handling (if parsing responses programmatically):
- The previous blocks for Python execution responses will no longer be sent
- Instead, new response types for Bash and file operations will be sent (see Response Format section)

Programmatic tool calling

The code execution tool powers programmatic tool calling, which allows Claude to write code that calls your custom tools programmatically within the execution container. This enables efficient multi-tool workflows, data filtering before reaching Claude’s context, and complex conditional logic.

# Enable programmatic calling for your tools
response = client.beta.messages.create(
    model="claude-sonnet-4-5",
    betas=["advanced-tool-use-2025-11-20"],
    max_tokens=4096,
    messages=[{
        "role": "user",
        "content": "Get weather for 5 cities and find the warmest"
    }],
    tools=[
        {
            "type": "code_execution_20250825",
            "name": "code_execution"
        },
        {
            "name": "get_weather",
            "description": "Get weather for a city",
            "input_schema": {...},
            "allowed_callers": ["code_execution_20250825"]  # Enable programmatic calling
        }
    ]
)

Learn more in the Programmatic tool calling documentation.

Using code execution with Agent Skills

The code execution tool enables Claude to use Agent Skills. Skills are modular capabilities consisting of instructions, scripts, and resources that extend Claude’s functionality. Learn more in the Agent Skills documentation and Agent Skills API guide.

Product Guide

Account

Help

Code execution

Code execution tool

Model compatibility

Quick start

How code execution works

How to use the tool

Execute Bash commands

Create and edit files directly

Upload and analyze your own files

Upload and analyze files

Retrieve generated files

Combine operations

Tool definition

Response format

Bash command response

File operation responses

Results

Errors

`pause_turn` stop reason

Containers

Runtime environment

Resource limits

Networking and security

Pre-installed libraries

Container reuse

Example

Streaming

Batch requests

Usage and pricing

Upgrade to latest tool version

What’s changed

Backward compatibility

Upgrade steps

Programmatic tool calling

Using code execution with Agent Skills

​Code execution tool

​Model compatibility

​Quick start

​How code execution works

​How to use the tool

​Execute Bash commands

​Create and edit files directly

​Upload and analyze your own files

​Upload and analyze files

​Retrieve generated files

​Combine operations

​Tool definition

​Response format

​Bash command response

​File operation responses

​Results

​Errors

​pause_turn stop reason

​Containers

​Runtime environment

​Resource limits

​Networking and security

​Pre-installed libraries

​Container reuse

​Example

​Streaming

​Batch requests

​Usage and pricing

​Upgrade to latest tool version

​What’s changed

​Backward compatibility

​Upgrade steps

​Programmatic tool calling

​Using code execution with Agent Skills

Code execution tool

Model compatibility

Quick start

How code execution works

How to use the tool

Execute Bash commands

Create and edit files directly

Upload and analyze your own files

Upload and analyze files

Retrieve generated files

Combine operations

Tool definition

Response format

Bash command response

File operation responses

Results

Errors

`pause_turn` stop reason

Containers

Runtime environment

Resource limits

Networking and security

Pre-installed libraries

Container reuse

Example

Streaming

Batch requests

Usage and pricing

Upgrade to latest tool version

What’s changed

Backward compatibility

Upgrade steps

Programmatic tool calling

Using code execution with Agent Skills