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Claude Agent SDK for Python

Python SDK for Claude Agent. See the Claude Agent SDK documentation for more information.

OAuth 브랜치 사용하기 (개발 중)

참고: OAuth 인증 기능은 현재 oauth 브랜치에서 개발 중입니다. 이 기능을 사용하면 Claude Max/Pro 사용자가 API 키 없이 SDK를 사용할 수 있습니다.

인증 방법

세 가지 인증 방법을 지원하며, 위에서부터 우선순위가 높습니다:

1. Long-lived token (권장 — CI/CD, 서버 환경)

# 토큰 발급 (브라우저에서 인증, 1년 유효)
claude setup-token
# 환경변수 설정export CLAUDE_CODE_OAUTH_TOKEN='sk-ant-oat01-...'

2. macOS Keychain (macOS 로컬 개발)

# 로그인하면 Keychain에 자동 저장
claude login

3. API 키 (종량제 과금)

export ANTHROPIC_API_KEY='sk-ant-api03-...'

설치

다른 프로젝트에서 이 브랜치를 사용하려면, pyproject.toml에 다음 내용을 추가하세요:

[project]
dependencies = [
"claude-agent-sdk",
]
[tool.uv.sources]
claude-agent-sdk = { git = "https://github.com/frograms/claude-agent-sdk-python", branch = "oauth" }
# 처음 설치
uv sync
# 업데이트 (oauth 브랜치가 업데이트 되었을 때)
uv sync --upgrade

Installation

pip install claude-agent-sdk

Prerequisites:

  • Python 3.10+

Note: The Claude Code CLI is automatically bundled with the package - no separate installation required! The SDK will use the bundled CLI by default. If you prefer to use a system-wide installation or a specific version, you can:

  • Install Claude Code separately: curl -fsSL https://claude.ai/install.sh | bash
  • Specify a custom path: ClaudeAgentOptions(cli_path="/path/to/claude")

Quick Start

importanyiofromclaude_agent_sdkimportqueryasyncdefmain():
asyncformessageinquery(prompt="What is 2 + 2?"):
print(message)
anyio.run(main)

Basic Usage: query()

query() is an async function for querying Claude Code. It returns an AsyncIterator of response messages. See src/claude_agent_sdk/query.py.

fromclaude_agent_sdkimportquery, ClaudeAgentOptions, AssistantMessage, TextBlock# Simple queryasyncformessageinquery(prompt="Hello Claude"):
ifisinstance(message, AssistantMessage):
forblockinmessage.content:
ifisinstance(block, TextBlock):
print(block.text)
# With optionsoptions=ClaudeAgentOptions(
system_prompt="You are a helpful assistant",
max_turns=1
)
asyncformessageinquery(prompt="Tell me a joke", options=options):
print(message)

Using Tools

By default, Claude has access to the full Claude Code toolset (Read, Write, Edit, Bash, and others). allowed_tools is a permission allowlist: listed tools are auto-approved, and unlisted tools fall through to permission_mode and can_use_tool for a decision. It does not remove tools from Claude's toolset. To block specific tools, use disallowed_tools. See the permissions guide for the full evaluation order.

options=ClaudeAgentOptions(
allowed_tools=["Read", "Write", "Bash"], # auto-approve these toolspermission_mode='acceptEdits'# auto-accept file edits
)
asyncformessageinquery(
prompt="Create a hello.py file",
options=options
):
# Process tool use and resultspass

Working Directory

frompathlibimportPathoptions=ClaudeAgentOptions(
cwd="/path/to/project"# or Path("/path/to/project")
)

ClaudeSDKClient

ClaudeSDKClient supports bidirectional, interactive conversations with Claude Code. See src/claude_agent_sdk/client.py.

Unlike query(), ClaudeSDKClient additionally enables custom tools and hooks, both of which can be defined as Python functions.

Custom Tools (as In-Process SDK MCP Servers)

A custom tool is a Python function that you can offer to Claude, for Claude to invoke as needed.

Custom tools are implemented in-process MCP servers that run directly within your Python application, eliminating the need for separate processes that regular MCP servers require.

For an end-to-end example, see MCP Calculator.

Creating a Simple Tool

fromclaude_agent_sdkimporttool, create_sdk_mcp_server, ClaudeAgentOptions, ClaudeSDKClient# Define a tool using the @tool decorator@tool("greet", "Greet a user", {"name": str})asyncdefgreet_user(args):
return {
"content": [
{"type": "text", "text": f"Hello, {args['name']}!"}
]
}
# Create an SDK MCP serverserver=create_sdk_mcp_server(
name="my-tools",
version="1.0.0",
tools=[greet_user]
)
# Use it with Claude. allowed_tools pre-approves the tool so it runs# without a permission prompt; it does not control tool availability.options=ClaudeAgentOptions(
mcp_servers={"tools": server},
allowed_tools=["mcp__tools__greet"]
)
asyncwithClaudeSDKClient(options=options) asclient:
awaitclient.query("Greet Alice")
# Extract and print responseasyncformsginclient.receive_response():
print(msg)

Benefits Over External MCP Servers

  • No subprocess management - Runs in the same process as your application
  • Better performance - No IPC overhead for tool calls
  • Simpler deployment - Single Python process instead of multiple
  • Easier debugging - All code runs in the same process
  • Type safety - Direct Python function calls with type hints

Migration from External Servers

# BEFORE: External MCP server (separate process)options=ClaudeAgentOptions(
mcp_servers={
"calculator": {
"type": "stdio",
"command": "python",
"args": ["-m", "calculator_server"]
}
}
)
# AFTER: SDK MCP server (in-process)frommy_toolsimportadd, subtract# Your tool functionscalculator=create_sdk_mcp_server(
name="calculator",
tools=[add, subtract]
)
options=ClaudeAgentOptions(
mcp_servers={"calculator": calculator}
)

Mixed Server Support

You can use both SDK and external MCP servers together:

options=ClaudeAgentOptions(
mcp_servers={
"internal": sdk_server, # In-process SDK server"external": { # External subprocess server"type": "stdio",
"command": "external-server"
}
}
)

Hooks

A hook is a Python function that the Claude Code application (not Claude) invokes at specific points of the Claude agent loop. Hooks can provide deterministic processing and automated feedback for Claude. Read more in Intercept and control agent behavior with hooks.

For more examples, see examples/hooks.py.

Example

fromclaude_agent_sdkimportClaudeAgentOptions, ClaudeSDKClient, HookMatcherasyncdefcheck_bash_command(input_data, tool_use_id, context):
tool_name=input_data["tool_name"]
tool_input=input_data["tool_input"]
iftool_name!="Bash":
return {}
command=tool_input.get("command", "")
block_patterns= ["foo.sh"]
forpatterninblock_patterns:
ifpatternincommand:
return {
"hookSpecificOutput": {
"hookEventName": "PreToolUse",
"permissionDecision": "deny",
"permissionDecisionReason": f"Command contains invalid pattern: {pattern}",
}
}
return {}
options=ClaudeAgentOptions(
allowed_tools=["Bash"],
hooks={
"PreToolUse": [
HookMatcher(matcher="Bash", hooks=[check_bash_command]),
],
}
)
asyncwithClaudeSDKClient(options=options) asclient:
# Test 1: Command with forbidden pattern (will be blocked)awaitclient.query("Run the bash command: ./foo.sh --help")
asyncformsginclient.receive_response():
print(msg)
print("\n"+"="*50+"\n")
# Test 2: Safe command that should workawaitclient.query("Run the bash command: echo 'Hello from hooks example!'")
asyncformsginclient.receive_response():
print(msg)

Types

See src/claude_agent_sdk/types.py for complete type definitions:

  • ClaudeAgentOptions - Configuration options
  • AssistantMessage, UserMessage, SystemMessage, ResultMessage - Message types
  • TextBlock, ToolUseBlock, ToolResultBlock - Content blocks

Error Handling

fromclaude_agent_sdkimport (
ClaudeSDKError, # Base errorCLINotFoundError, # Claude Code not installedCLIConnectionError, # Connection issuesProcessError, # Process failedCLIJSONDecodeError, # JSON parsing issues
)
try:
asyncformessageinquery(prompt="Hello"):
passexceptCLINotFoundError:
print("Please install Claude Code")
exceptProcessErrorase:
print(f"Process failed with exit code: {e.exit_code}")
exceptCLIJSONDecodeErrorase:
print(f"Failed to parse response: {e}")

See src/claude_agent_sdk/_errors.py for all error types.

Available Tools

See the Claude Code documentation for a complete list of available tools.

Examples

See examples/quick_start.py for a complete working example.

See examples/streaming_mode.py for comprehensive examples involving ClaudeSDKClient. You can even run interactive examples in IPython from examples/streaming_mode_ipython.py.

Migrating from Claude Code SDK

If you're upgrading from the Claude Code SDK (versions < 0.1.0), please see the CHANGELOG.md for details on breaking changes and new features, including:

  • ClaudeCodeOptionsClaudeAgentOptions rename
  • Merged system prompt configuration
  • Settings isolation and explicit control
  • New programmatic subagents and session forking features

Development

If you're contributing to this project, run the initial setup script to install git hooks:

./scripts/initial-setup.sh

This installs a pre-push hook that runs lint checks before pushing, matching the CI workflow. To skip the hook temporarily, use git push --no-verify.

Building Wheels Locally

To build wheels with the bundled Claude Code CLI:

# Install build dependencies
pip install build twine
# Build wheel with bundled CLI
python scripts/build_wheel.py
# Build with specific version
python scripts/build_wheel.py --version 0.1.4
# Build with specific CLI version
python scripts/build_wheel.py --cli-version 2.0.0
# Clean bundled CLI after building
python scripts/build_wheel.py --clean
# Skip CLI download (use existing)
python scripts/build_wheel.py --skip-download

The build script:

  1. Downloads Claude Code CLI for your platform
  2. Bundles it in the wheel
  3. Builds both wheel and source distribution
  4. Checks the package with twine

See python scripts/build_wheel.py --help for all options.

Release Workflow

The package is published to PyPI via the GitHub Actions workflow in .github/workflows/publish.yml. To create a new release:

  1. Trigger the workflow manually from the Actions tab with two inputs:

    • version: The package version to publish (e.g., 0.1.5)
    • claude_code_version: The Claude Code CLI version to bundle (e.g., 2.0.0 or latest)
  2. The workflow will:

    • Build platform-specific wheels for macOS, Linux, and Windows
    • Bundle the specified Claude Code CLI version in each wheel
    • Build a source distribution
    • Publish all artifacts to PyPI
    • Create a release branch with version updates
    • Open a PR to main with:
      • Updated pyproject.toml version
      • Updated src/claude_agent_sdk/_version.py
      • Updated src/claude_agent_sdk/_cli_version.py with bundled CLI version
      • Auto-generated CHANGELOG.md entry
  3. Review and merge the release PR to update main with the new version information

The workflow tracks both the package version and the bundled CLI version separately, allowing you to release a new package version with an updated CLI without code changes.

License and terms

Use of this SDK is governed by Anthropic's Commercial Terms of Service, including when you use it to power products and services that you make available to your own customers and end users, except to the extent a specific component or dependency is covered by a different license as indicated in that component's LICENSE file.

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