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.
Please reach out through our feedback form to share your feedback on this feature.
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) (deprecated) | 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.
Here's a simple example that asks Claude to perform a calculation:
When you add the code execution tool to your API request:
Ask Claude to check system information and install packages:
Claude can create, view, and edit files directly in the sandbox using the file manipulation capabilities:
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:
container_upload content blockWhen Claude creates files during code execution, you can retrieve these files using the Files API:
A complex workflow using all capabilities:
The code execution tool requires no additional parameters:
{
"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 commandstext_editor_code_execution: View, create, and edit files, including writing codeThe code execution tool can return two types of results depending on the operation:
{
"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
}
}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"]
}
}All execution results include:
stdout: Output from successful executionstderr: Error messages if execution failsreturn_code: 0 for success, non-zero for failureAdditional fields for file operations:
file_type, content, numLines, startLine, totalLinesis_file_update (whether file already existed)oldStart, oldLines, newStart, newLines, lines (diff format)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) |
pause_turn stop reasonThe 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.
The code execution tool runs in a secure, containerized environment designed specifically for code execution, with a higher focus on Python.
The sandboxed Python environment includes these commonly used libraries:
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.
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": ""}}}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.
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 1,550 free hours of usage with the code execution tool per month. Additional usage beyond the first 1,550 hours is billed at $0.05 per hour, per container.
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.
| 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 |
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 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.
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.
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"
}]
}'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"
}]
}'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"
}]
}'# 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"
}]
}'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}")# 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"
}]
}'| text_editor | string_not_found | The old_str not found in file (for str_replace) |
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"
}]
)