Agent SDK 参考 - Python

pip install claude-agent-sdk

async def query(
    *,
    prompt: str | AsyncIterable[dict[str, Any]],
    options: ClaudeAgentOptions | None = None
) -> AsyncIterator[Message]

import asyncio
from claude_agent_sdk import query, ClaudeAgentOptions

async def main():
    options = ClaudeAgentOptions(
        system_prompt="You are an expert Python developer",
        permission_mode='acceptEdits',
        cwd="/home/user/project"
    )

    async for message in query(
        prompt="Create a Python web server",
        options=options
    ):
        print(message)


asyncio.run(main())

def tool(
    name: str,
    description: str,
    input_schema: type | dict[str, Any]
) -> Callable[[Callable[[Any], Awaitable[dict[str, Any]]]], SdkMcpTool[Any]]

from claude_agent_sdk import tool
from typing import Any

@tool("greet", "Greet a user", {"name": str})
async def greet(args: dict[str, Any]) -> dict[str, Any]:
    return {
        "content": [{
            "type": "text",
            "text": f"Hello, {args['name']}!"
        }]
    }

def create_sdk_mcp_server(
    name: str,
    version: str = "1.0.0",
    tools: list[SdkMcpTool[Any]] | None = None
) -> McpSdkServerConfig

from claude_agent_sdk import tool, create_sdk_mcp_server

@tool("add", "Add two numbers", {"a": float, "b": float})
async def add(args):
    return {
        "content": [{
            "type": "text",
            "text": f"Sum: {args['a'] + args['b']}"
        }]
    }

@tool("multiply", "Multiply two numbers", {"a": float, "b": float})
async def multiply(args):
    return {
        "content": [{
            "type": "text",
            "text": f"Product: {args['a'] * args['b']}"
        }]
    }

calculator = create_sdk_mcp_server(
    name="calculator",
    version="2.0.0",
    tools=[add, multiply]  # Pass decorated functions
)

# Use with Claude
options = ClaudeAgentOptions(
    mcp_servers={"calc": calculator},
    allowed_tools=["mcp__calc__add", "mcp__calc__multiply"]
)

class ClaudeSDKClient:
    def __init__(self, options: ClaudeAgentOptions | None = None)
    async def connect(self, prompt: str | AsyncIterable[dict] | None = None) -> None
    async def query(self, prompt: str | AsyncIterable[dict], session_id: str = "default") -> None
    async def receive_messages(self) -> AsyncIterator[Message]
    async def receive_response(self) -> AsyncIterator[Message]
    async def interrupt(self) -> None
    async def rewind_files(self, user_message_uuid: str) -> None
    async def disconnect(self) -> None

async with ClaudeSDKClient() as client:
    await client.query("Hello Claude")
    async for message in client.receive_response():
        print(message)

import asyncio
from claude_agent_sdk import ClaudeSDKClient, AssistantMessage, TextBlock, ResultMessage

async def main():
    async with ClaudeSDKClient() as client:
        # First question
        await client.query("What's the capital of France?")

        # Process response
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(f"Claude: {block.text}")

        # Follow-up question - Claude remembers the previous context
        await client.query("What's the population of that city?")

        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(f"Claude: {block.text}")

        # Another follow-up - still in the same conversation
        await client.query("What are some famous landmarks there?")

        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(f"Claude: {block.text}")

asyncio.run(main())

import asyncio
from claude_agent_sdk import ClaudeSDKClient

async def message_stream():
    """Generate messages dynamically."""
    yield {"type": "text", "text": "Analyze the following data:"}
    await asyncio.sleep(0.5)
    yield {"type": "text", "text": "Temperature: 25°C"}
    await asyncio.sleep(0.5)
    yield {"type": "text", "text": "Humidity: 60%"}
    await asyncio.sleep(0.5)
    yield {"type": "text", "text": "What patterns do you see?"}

async def main():
    async with ClaudeSDKClient() as client:
        # Stream input to Claude
        await client.query(message_stream())

        # Process response
        async for message in client.receive_response():
            print(message)

        # Follow-up in same session
        await client.query("Should we be concerned about these readings?")

        async for message in client.receive_response():
            print(message)

asyncio.run(main())

import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

async def interruptible_task():
    options = ClaudeAgentOptions(
        allowed_tools=["Bash"],
        permission_mode="acceptEdits"
    )

    async with ClaudeSDKClient(options=options) as client:
        # Start a long-running task
        await client.query("Count from 1 to 100 slowly")

        # Let it run for a bit
        await asyncio.sleep(2)

        # Interrupt the task
        await client.interrupt()
        print("Task interrupted!")

        # Send a new command
        await client.query("Just say hello instead")

        async for message in client.receive_response():
            # Process the new response
            pass

asyncio.run(interruptible_task())

from claude_agent_sdk import (
    ClaudeSDKClient,
    ClaudeAgentOptions
)
from claude_agent_sdk.types import PermissionResultAllow, PermissionResultDeny

async def custom_permission_handler(
    tool_name: str,
    input_data: dict,
    context: dict
) -> PermissionResultAllow | PermissionResultDeny:
    """Custom logic for tool permissions."""

    # Block writes to system directories
    if tool_name == "Write" and input_data.get("file_path", "").startswith("/system/"):
        return PermissionResultDeny(
            message="System directory write not allowed",
            interrupt=True
        )

    # Redirect sensitive file operations
    if tool_name in ["Write", "Edit"] and "config" in input_data.get("file_path", ""):
        safe_path = f"./sandbox/{input_data['file_path']}"
        return PermissionResultAllow(
            updated_input={**input_data, "file_path": safe_path}
        )

    # Allow everything else
    return PermissionResultAllow(updated_input=input_data)

async def main():
    options = ClaudeAgentOptions(
        can_use_tool=custom_permission_handler,
        allowed_tools=["Read", "Write", "Edit"]
    )

    async with ClaudeSDKClient(options=options) as client:
        await client.query("Update the system config file")

        async for message in client.receive_response():
            # Will use sandbox path instead
            print(message)

asyncio.run(main())

@dataclass
class SdkMcpTool(Generic[T]):
    name: str
    description: str
    input_schema: type[T] | dict[str, Any]
    handler: Callable[[T], Awaitable[dict[str, Any]]]

@dataclass
class ClaudeAgentOptions:
    tools: list[str] | ToolsPreset | None = None
    allowed_tools: list[str] = field(default_factory=list)
    system_prompt: str | SystemPromptPreset | None = None
    mcp_servers: dict[str, McpServerConfig] | str | Path = field(default_factory=dict)
    permission_mode: PermissionMode | None = None
    continue_conversation: bool = False
    resume: str | None = None
    max_turns: int | None = None
    max_budget_usd: float | None = None
    disallowed_tools: list[str] = field(default_factory=list)
    model: str | None = None
    fallback_model: str | None = None
    betas: list[SdkBeta] = field(default_factory=list)
    output_format: OutputFormat | None = None
    permission_prompt_tool_name: str | None = None
    cwd: str | Path | None = None
    cli_path: str | Path | None = None
    settings: str | None = None
    add_dirs: list[str | Path] = field(default_factory=list)
    env: dict[str, str] = field(default_factory=dict)
    extra_args: dict[str, str | None] = field(default_factory=dict)
    max_buffer_size: int | None = None
    debug_stderr: Any = sys.stderr  # Deprecated
    stderr: Callable[[str], None] | None = None
    can_use_tool: CanUseTool | None = None
    hooks: dict[HookEvent, list[HookMatcher]] | None = None
    user: str | None = None
    include_partial_messages: bool = False
    fork_session: bool = False
    agents: dict[str, AgentDefinition] | None = None
    setting_sources: list[SettingSource] | None = None
    max_thinking_tokens: int | None = None

class OutputFormat(TypedDict):
    type: Literal["json_schema"]
    schema: dict[str, Any]

class SystemPromptPreset(TypedDict):
    type: Literal["preset"]
    preset: Literal["claude_code"]
    append: NotRequired[str]

SettingSource = Literal["user", "project", "local"]

# Load all settings like SDK v0.0.x did
from claude_agent_sdk import query, ClaudeAgentOptions

async for message in query(
    prompt="Analyze this code",
    options=ClaudeAgentOptions(
        setting_sources=["user", "project", "local"]  # Load all settings
    )
):
    print(message)

# Load only project settings, ignore user and local
async for message in query(
    prompt="Run CI checks",
    options=ClaudeAgentOptions(
        setting_sources=["project"]  # Only .claude/settings.json
    )
):
    print(message)

# Ensure consistent behavior in CI by excluding local settings
async for message in query(
    prompt="Run tests",
    options=ClaudeAgentOptions(
        setting_sources=["project"],  # Only team-shared settings
        permission_mode="bypassPermissions"
    )
):
    print(message)

# Define everything programmatically (default behavior)
# No filesystem dependencies - setting_sources defaults to None
async for message in query(
    prompt="Review this PR",
    options=ClaudeAgentOptions(
        # setting_sources=None is the default, no need to specify
        agents={ /* ... */ },
        mcp_servers={ /* ... */ },
        allowed_tools=["Read", "Grep", "Glob"]
    )
):
    print(message)

# Load project settings to include CLAUDE.md files
async for message in query(
    prompt="Add a new feature following project conventions",
    options=ClaudeAgentOptions(
        system_prompt={
            "type": "preset",
            "preset": "claude_code"  # Use Claude Code's system prompt
        },
        setting_sources=["project"],  # Required to load CLAUDE.md from project
        allowed_tools=["Read", "Write", "Edit"]
    )
):
    print(message)

@dataclass
class AgentDefinition:
    description: str
    prompt: str
    tools: list[str] | None = None
    model: Literal["sonnet", "opus", "haiku", "inherit"] | None = None

PermissionMode = Literal[
    "default",           # 标准权限行为
    "acceptEdits",       # 自动接受文件编辑
    "plan",              # 规划模式 - 不执行
    "bypassPermissions"  # 绕过所有权限检查（谨慎使用）
]

CanUseTool = Callable[
    [str, dict[str, Any], ToolPermissionContext],
    Awaitable[PermissionResult]
]

@dataclass
class ToolPermissionContext:
    signal: Any | None = None  # Future: abort signal support
    suggestions: list[PermissionUpdate] = field(default_factory=list)

PermissionResult = PermissionResultAllow | PermissionResultDeny

@dataclass
class PermissionResultAllow:
    behavior: Literal["allow"] = "allow"
    updated_input: dict[str, Any] | None = None
    updated_permissions: list[PermissionUpdate] | None = None

@dataclass
class PermissionResultDeny:
    behavior: Literal["deny"] = "deny"
    message: str = ""
    interrupt: bool = False

@dataclass
class PermissionUpdate:
    type: Literal[
        "addRules",
        "replaceRules",
        "removeRules",
        "setMode",
        "addDirectories",
        "removeDirectories",
    ]
    rules: list[PermissionRuleValue] | None = None
    behavior: Literal["allow", "deny", "ask"] | None = None
    mode: PermissionMode | None = None
    directories: list[str] | None = None
    destination: Literal["userSettings", "projectSettings", "localSettings", "session"] | None = None

SdkBeta = Literal["context-1m-2025-08-07"]

class McpSdkServerConfig(TypedDict):
    type: Literal["sdk"]
    name: str
    instance: Any  # MCP Server instance

McpServerConfig = McpStdioServerConfig | McpSSEServerConfig | McpHttpServerConfig | McpSdkServerConfig

class McpStdioServerConfig(TypedDict):
    type: NotRequired[Literal["stdio"]]  # Optional for backwards compatibility
    command: str
    args: NotRequired[list[str]]
    env: NotRequired[dict[str, str]]

class McpSSEServerConfig(TypedDict):
    type: Literal["sse"]
    url: str
    headers: NotRequired[dict[str, str]]

class McpHttpServerConfig(TypedDict):
    type: Literal["http"]
    url: str
    headers: NotRequired[dict[str, str]]

class SdkPluginConfig(TypedDict):
    type: Literal["local"]
    path: str

plugins=[
    {"type": "local", "path": "./my-plugin"},
    {"type": "local", "path": "/absolute/path/to/plugin"}
]

Message = UserMessage | AssistantMessage | SystemMessage | ResultMessage | StreamEvent

@dataclass
class UserMessage:
    content: str | list[ContentBlock]

@dataclass
class AssistantMessage:
    content: list[ContentBlock]
    model: str

@dataclass
class SystemMessage:
    subtype: str
    data: dict[str, Any]

@dataclass
class ResultMessage:
    subtype: str
    duration_ms: int
    duration_api_ms: int
    is_error: bool
    num_turns: int
    session_id: str
    total_cost_usd: float | None = None
    usage: dict[str, Any] | None = None
    result: str | None = None
    structured_output: Any = None

@dataclass
class StreamEvent:
    uuid: str
    session_id: str
    event: dict[str, Any]  # The raw Anthropic API stream event
    parent_tool_use_id: str | None = None

ContentBlock = TextBlock | ThinkingBlock | ToolUseBlock | ToolResultBlock

@dataclass
class TextBlock:
    text: str

@dataclass
class ThinkingBlock:
    thinking: str
    signature: str

@dataclass
class ToolUseBlock:
    id: str
    name: str
    input: dict[str, Any]

@dataclass
class ToolResultBlock:
    tool_use_id: str
    content: str | list[dict[str, Any]] | None = None
    is_error: bool | None = None

class ClaudeSDKError(Exception):
    """Base error for Claude SDK."""

class CLINotFoundError(CLIConnectionError):
    def __init__(self, message: str = "Claude Code not found", cli_path: str | None = None):
        """
        Args:
            message: Error message (default: "Claude Code not found")
            cli_path: Optional path to the CLI that was not found
        """

class CLIConnectionError(ClaudeSDKError):
    """Failed to connect to Claude Code."""

class ProcessError(ClaudeSDKError):
    def __init__(self, message: str, exit_code: int | None = None, stderr: str | None = None):
        self.exit_code = exit_code
        self.stderr = stderr

class CLIJSONDecodeError(ClaudeSDKError):
    def __init__(self, line: str, original_error: Exception):
        """
        Args:
            line: The line that failed to parse
            original_error: The original JSON decode exception
        """
        self.line = line
        self.original_error = original_error

HookEvent = Literal[
    "PreToolUse",      # Called before tool execution
    "PostToolUse",     # Called after tool execution
    "UserPromptSubmit", # Called when user submits a prompt
    "Stop",            # Called when stopping execution
    "SubagentStop",    # Called when a subagent stops
    "PreCompact"       # Called before message compaction
]

HookCallback = Callable[
    [dict[str, Any], str | None, HookContext],
    Awaitable[dict[str, Any]]
]

@dataclass
class HookContext:
    signal: Any | None = None  # Future: abort signal support

@dataclass
class HookMatcher:
    matcher: str | None = None        # Tool name or pattern to match (e.g., "Bash", "Write|Edit")
    hooks: list[HookCallback] = field(default_factory=list)  # List of callbacks to execute
    timeout: float | None = None        # Timeout in seconds for all hooks in this matcher (default: 60)

HookInput = (
    PreToolUseHookInput
    | PostToolUseHookInput
    | UserPromptSubmitHookInput
    | StopHookInput
    | SubagentStopHookInput
    | PreCompactHookInput
)

class BaseHookInput(TypedDict):
    session_id: str
    transcript_path: str
    cwd: str
    permission_mode: NotRequired[str]

class PreToolUseHookInput(BaseHookInput):
    hook_event_name: Literal["PreToolUse"]
    tool_name: str
    tool_input: dict[str, Any]

class PostToolUseHookInput(BaseHookInput):
    hook_event_name: Literal["PostToolUse"]
    tool_name: str
    tool_input: dict[str, Any]
    tool_response: Any

class UserPromptSubmitHookInput(BaseHookInput):
    hook_event_name: Literal["UserPromptSubmit"]
    prompt: str

class StopHookInput(BaseHookInput):
    hook_event_name: Literal["Stop"]
    stop_hook_active: bool

class SubagentStopHookInput(BaseHookInput):
    hook_event_name: Literal["SubagentStop"]
    stop_hook_active: bool

class PreCompactHookInput(BaseHookInput):
    hook_event_name: Literal["PreCompact"]
    trigger: Literal["manual", "auto"]
    custom_instructions: str | None

HookJSONOutput = AsyncHookJSONOutput | SyncHookJSONOutput

class SyncHookJSONOutput(TypedDict):
    # Control fields
    continue_: NotRequired[bool]      # Whether to proceed (default: True)
    suppressOutput: NotRequired[bool] # Hide stdout from transcript
    stopReason: NotRequired[str]      # Message when continue is False

    # Decision fields
    decision: NotRequired[Literal["block"]]
    systemMessage: NotRequired[str]   # Warning message for user
    reason: NotRequired[str]          # Feedback for Claude

    # Hook-specific output
    hookSpecificOutput: NotRequired[dict[str, Any]]

class AsyncHookJSONOutput(TypedDict):
    async_: Literal[True]             # Set to True to defer execution
    asyncTimeout: NotRequired[int]    # Timeout in milliseconds

from claude_agent_sdk import query, ClaudeAgentOptions, HookMatcher, HookContext
from typing import Any

async def validate_bash_command(
    input_data: dict[str, Any],
    tool_use_id: str | None,
    context: HookContext
) -> dict[str, Any]:
    """Validate and potentially block dangerous bash commands."""
    if input_data['tool_name'] == 'Bash':
        command = input_data['tool_input'].get('command', '')
        if 'rm -rf /' in command:
            return {
                'hookSpecificOutput': {
                    'hookEventName': 'PreToolUse',
                    'permissionDecision': 'deny',
                    'permissionDecisionReason': 'Dangerous command blocked'
                }
            }
    return {}

async def log_tool_use(
    input_data: dict[str, Any],
    tool_use_id: str | None,
    context: HookContext
) -> dict[str, Any]:
    """Log all tool usage for auditing."""
    print(f"Tool used: {input_data.get('tool_name')}")
    return {}

options = ClaudeAgentOptions(
    hooks={
        'PreToolUse': [
            HookMatcher(matcher='Bash', hooks=[validate_bash_command], timeout=120),  # 2 min for validation
            HookMatcher(hooks=[log_tool_use])  # Applies to all tools (default 60s timeout)
        ],
        'PostToolUse': [
            HookMatcher(hooks=[log_tool_use])
        ]
    }
)

async for message in query(
    prompt="Analyze this codebase",
    options=options
):
    print(message)

{
    "description": str,      # A short (3-5 word) description of the task
    "prompt": str,           # The task for the agent to perform
    "subagent_type": str     # The type of specialized agent to use
}

{
    "result": str,                    # Final result from the subagent
    "usage": dict | None,             # Token usage statistics
    "total_cost_usd": float | None,  # Total cost in USD
    "duration_ms": int | None         # Execution duration in milliseconds
}

{
    "questions": [                    # Questions to ask the user (1-4 questions)
        {
            "question": str,          # The complete question to ask the user
            "header": str,            # Very short label displayed as a chip/tag (max 12 chars)
            "options": [              # The available choices (2-4 options)
                {
                    "label": str,         # Display text for this option (1-5 words)
                    "description": str    # Explanation of what this option means
                }
            ],
            "multiSelect": bool       # Set to true to allow multiple selections
        }
    ],
    "answers": dict | None            # User answers populated by the permission system
}

{
    "questions": [                    # The questions that were asked
        {
            "question": str,
            "header": str,
            "options": [{"label": str, "description": str}],
            "multiSelect": bool
        }
    ],
    "answers": dict[str, str]         # Maps question text to answer string
                                      # Multi-select answers are comma-separated
}

{
    "command": str,                  # The command to execute
    "timeout": int | None,           # Optional timeout in milliseconds (max 600000)
    "description": str | None,       # Clear, concise description (5-10 words)
    "run_in_background": bool | None # Set to true to run in background
}

{
    "output": str,              # Combined stdout and stderr output
    "exitCode": int,            # Exit code of the command
    "killed": bool | None,      # Whether command was killed due to timeout
    "shellId": str | None       # Shell ID for background processes
}

{
    "file_path": str,           # The absolute path to the file to modify
    "old_string": str,          # The text to replace
    "new_string": str,          # The text to replace it with
    "replace_all": bool | None  # Replace all occurrences (default False)
}

{
    "message": str,      # Confirmation message
    "replacements": int, # Number of replacements made
    "file_path": str     # File path that was edited
}

{
    "file_path": str,       # The absolute path to the file to read
    "offset": int | None,   # The line number to start reading from
    "limit": int | None     # The number of lines to read
}

{
    "content": str,         # File contents with line numbers
    "total_lines": int,     # Total number of lines in file
    "lines_returned": int   # Lines actually returned
}

{
    "image": str,       # Base64 encoded image data
    "mime_type": str,   # Image MIME type
    "file_size": int    # File size in bytes
}

{
    "file_path": str,  # The absolute path to the file to write
    "content": str     # The content to write to the file
}

{
    "message": str,        # Success message
    "bytes_written": int,  # Number of bytes written
    "file_path": str       # File path that was written
}

{
    "pattern": str,       # The glob pattern to match files against
    "path": str | None    # The directory to search in (defaults to cwd)
}

{
    "matches": list[str],  # Array of matching file paths
    "count": int,          # Number of matches found
    "search_path": str     # Search directory used
}

{
    "pattern": str,                    # The regular expression pattern
    "path": str | None,                # File or directory to search in
    "glob": str | None,                # Glob pattern to filter files
    "type": str | None,                # File type to search
    "output_mode": str | None,         # "content", "files_with_matches", or "count"
    "-i": bool | None,                 # Case insensitive search
    "-n": bool | None,                 # Show line numbers
    "-B": int | None,                  # Lines to show before each match
    "-A": int | None,                  # Lines to show after each match
    "-C": int | None,                  # Lines to show before and after
    "head_limit": int | None,          # Limit output to first N lines/entries
    "multiline": bool | None           # Enable multiline mode
}

{
    "matches": [
        {
            "file": str,
            "line_number": int | None,
            "line": str,
            "before_context": list[str] | None,
            "after_context": list[str] | None
        }
    ],
    "total_matches": int
}

{
    "files": list[str],  # Files containing matches
    "count": int         # Number of files with matches
}

{
    "notebook_path": str,                     # Absolute path to the Jupyter notebook
    "cell_id": str | None,                    # The ID of the cell to edit
    "new_source": str,                        # The new source for the cell
    "cell_type": "code" | "markdown" | None,  # The type of the cell
    "edit_mode": "replace" | "insert" | "delete" | None  # Edit operation type
}

{
    "message": str,                              # Success message
    "edit_type": "replaced" | "inserted" | "deleted",  # Type of edit performed
    "cell_id": str | None,                       # Cell ID that was affected
    "total_cells": int                           # Total cells in notebook after edit
}

{
    "url": str,     # The URL to fetch content from
    "prompt": str   # The prompt to run on the fetched content
}

{
    "response": str,           # AI model's response to the prompt
    "url": str,                # URL that was fetched
    "final_url": str | None,   # Final URL after redirects
    "status_code": int | None  # HTTP status code
}

{
    "query": str,                        # The search query to use
    "allowed_domains": list[str] | None, # Only include results from these domains
    "blocked_domains": list[str] | None  # Never include results from these domains
}

{
    "results": [
        {
            "title": str,
            "url": str,
            "snippet": str,
            "metadata": dict | None
        }
    ],
    "total_results": int,
    "query": str
}

{
    "todos": [
        {
            "content": str,                              # The task description
            "status": "pending" | "in_progress" | "completed",  # Task status
            "activeForm": str                            # Active form of the description
        }
    ]
}

{
    "message": str,  # Success message
    "stats": {
        "total": int,
        "pending": int,
        "in_progress": int,
        "completed": int
    }
}

{
    "bash_id": str,       # The ID of the background shell
    "filter": str | None  # Optional regex to filter output lines
}

{
    "output": str,                                      # New output since last check
    "status": "running" | "completed" | "failed",       # Current shell status
    "exitCode": int | None                              # Exit code when completed
}

{
    "shell_id": str  # The ID of the background shell to kill
}

{
    "message": str,  # Success message
    "shell_id": str  # ID of the killed shell
}

{
    "plan": str  # The plan to run by the user for approval
}

{
    "message": str,          # Confirmation message
    "approved": bool | None  # Whether user approved the plan
}

{
    "server": str | None  # Optional server name to filter resources by
}

{
    "resources": [
        {
            "uri": str,
            "name": str,
            "description": str | None,
            "mimeType": str | None,
            "server": str
        }
    ],
    "total": int
}

{
    "server": str,  # The MCP server name
    "uri": str      # The resource URI to read
}

{
    "contents": [
        {
            "uri": str,
            "mimeType": str | None,
            "text": str | None,
            "blob": str | None
        }
    ],
    "server": str
}

from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock
import asyncio

class ConversationSession:
    """Maintains a single conversation session with Claude."""

    def __init__(self, options: ClaudeAgentOptions = None):
        self.client = ClaudeSDKClient(options)
        self.turn_count = 0

    async def start(self):
        await self.client.connect()
        print("Starting conversation session. Claude will remember context.")
        print("Commands: 'exit' to quit, 'interrupt' to stop current task, 'new' for new session")

        while True:
            user_input = input(f"\n[Turn {self.turn_count + 1}] You: ")

            if user_input.lower() == 'exit':
                break
            elif user_input.lower() == 'interrupt':
                await self.client.interrupt()
                print("Task interrupted!")
                continue
            elif user_input.lower() == 'new':
                # Disconnect and reconnect for a fresh session
                await self.client.disconnect()
                await self.client.connect()
                self.turn_count = 0
                print("Started new conversation session (previous context cleared)")
                continue

            # Send message - Claude remembers all previous messages in this session
            await self.client.query(user_input)
            self.turn_count += 1

            # Process response
            print(f"[Turn {self.turn_count}] Claude: ", end="")
            async for message in self.client.receive_response():
                if isinstance(message, AssistantMessage):
                    for block in message.content:
                        if isinstance(block, TextBlock):
                            print(block.text, end="")
            print()  # New line after response

        await self.client.disconnect()
        print(f"Conversation ended after {self.turn_count} turns.")

async def main():
    options = ClaudeAgentOptions(
        allowed_tools=["Read", "Write", "Bash"],
        permission_mode="acceptEdits"
    )
    session = ConversationSession(options)
    await session.start()

# Example conversation:
# Turn 1 - You: "Create a file called hello.py"
# Turn 1 - Claude: "I'll create a hello.py file for you..."
# Turn 2 - You: "What's in that file?"
# Turn 2 - Claude: "The hello.py file I just created contains..." (remembers!)
# Turn 3 - You: "Add a main function to it"
# Turn 3 - Claude: "I'll add a main function to hello.py..." (knows which file!)

asyncio.run(main())