Subagents dalam SDK

import asyncio
from claude_agent_sdk import query, ClaudeAgentOptions, AgentDefinition


async def main():
    async for message in query(
        prompt="Review the authentication module for security issues",
        options=ClaudeAgentOptions(
            # Auto-approve these tools
            allowed_tools=["Read", "Grep", "Glob", "Agent"],
            agents={
                "code-reviewer": AgentDefinition(
                    # description tells Claude when to use this subagent
                    description="Expert code review specialist. Use for quality, security, and maintainability reviews.",
                    # prompt defines the subagent's behavior and expertise
                    prompt="""You are a code review specialist with expertise in security, performance, and best practices.

When reviewing code:
- Identify security vulnerabilities
- Check for performance issues
- Verify adherence to coding standards
- Suggest specific improvements

Be thorough but concise in your feedback.""",
                    # tools restricts what the subagent can do (read-only here)
                    tools=["Read", "Grep", "Glob"],
                    # model overrides the default model for this subagent
                    model="sonnet",
                ),
                "test-runner": AgentDefinition(
                    description="Runs and analyzes test suites. Use for test execution and coverage analysis.",
                    prompt="""You are a test execution specialist. Run tests and provide clear analysis of results.

Focus on:
- Running test commands
- Analyzing test output
- Identifying failing tests
- Suggesting fixes for failures""",
                    # Bash access lets this subagent run test commands
                    tools=["Bash", "Read", "Grep"],
                ),
            },
        ),
    ):
        if hasattr(message, "result"):
            print(message.result)


asyncio.run(main())

import { query } from "@anthropic-ai/claude-agent-sdk";

for await (const message of query({
  prompt: "Review the authentication module for security issues",
  options: {
    // Auto-approve these tools
    allowedTools: ["Read", "Grep", "Glob", "Agent"],
    agents: {
      "code-reviewer": {
        // description tells Claude when to use this subagent
        description:
          "Expert code review specialist. Use for quality, security, and maintainability reviews.",
        // prompt defines the subagent's behavior and expertise
        prompt: `You are a code review specialist with expertise in security, performance, and best practices.

When reviewing code:
- Identify security vulnerabilities
- Check for performance issues
- Verify adherence to coding standards
- Suggest specific improvements

Be thorough but concise in your feedback.`,
        // tools restricts what the subagent can do (read-only here)
        tools: ["Read", "Grep", "Glob"],
        // model overrides the default model for this subagent
        model: "sonnet"
      },
      "test-runner": {
        description:
          "Runs and analyzes test suites. Use for test execution and coverage analysis.",
        prompt: `You are a test execution specialist. Run tests and provide clear analysis of results.

Focus on:
- Running test commands
- Analyzing test output
- Identifying failing tests
- Suggesting fixes for failures`,
        // Bash access lets this subagent run test commands
        tools: ["Bash", "Read", "Grep"]
      }
    }
  }
})) {
  if ("result" in message) console.log(message.result);
}

import asyncio
from claude_agent_sdk import query, ClaudeAgentOptions, AgentDefinition


# Factory function that returns an AgentDefinition
# This pattern lets you customize agents based on runtime conditions
def create_security_agent(security_level: str) -> AgentDefinition:
    is_strict = security_level == "strict"
    return AgentDefinition(
        description="Security code reviewer",
        # Customize the prompt based on strictness level
        prompt=f"You are a {'strict' if is_strict else 'balanced'} security reviewer...",
        tools=["Read", "Grep", "Glob"],
        # Key insight: use a more capable model for high-stakes reviews
        model="opus" if is_strict else "sonnet",
    )


async def main():
    # The agent is created at query time, so each request can use different settings
    async for message in query(
        prompt="Review this PR for security issues",
        options=ClaudeAgentOptions(
            allowed_tools=["Read", "Grep", "Glob", "Agent"],
            agents={
                # Call the factory with your desired configuration
                "security-reviewer": create_security_agent("strict")
            },
        ),
    ):
        if hasattr(message, "result"):
            print(message.result)


asyncio.run(main())

import { query, type AgentDefinition } from "@anthropic-ai/claude-agent-sdk";

// Factory function that returns an AgentDefinition
// This pattern lets you customize agents based on runtime conditions
function createSecurityAgent(securityLevel: "basic" | "strict"): AgentDefinition {
  const isStrict = securityLevel === "strict";
  return {
    description: "Security code reviewer",
    // Customize the prompt based on strictness level
    prompt: `You are a ${isStrict ? "strict" : "balanced"} security reviewer...`,
    tools: ["Read", "Grep", "Glob"],
    // Key insight: use a more capable model for high-stakes reviews
    model: isStrict ? "opus" : "sonnet"
  };
}

// The agent is created at query time, so each request can use different settings
for await (const message of query({
  prompt: "Review this PR for security issues",
  options: {
    allowedTools: ["Read", "Grep", "Glob", "Agent"],
    agents: {
      // Call the factory with your desired configuration
      "security-reviewer": createSecurityAgent("strict")
    }
  }
})) {
  if ("result" in message) console.log(message.result);
}

import asyncio
from claude_agent_sdk import query, ClaudeAgentOptions, AgentDefinition, ToolUseBlock


async def main():
    async for message in query(
        prompt="Use the code-reviewer agent to review this codebase",
        options=ClaudeAgentOptions(
            allowed_tools=["Read", "Glob", "Grep", "Agent"],
            agents={
                "code-reviewer": AgentDefinition(
                    description="Expert code reviewer.",
                    prompt="Analyze code quality and suggest improvements.",
                    tools=["Read", "Glob", "Grep"],
                )
            },
        ),
    ):
        # Check for subagent invocation. Match both names: older SDK
        # versions emitted "Task", current versions emit "Agent".
        if hasattr(message, "content") and message.content:
            for block in message.content:
                if isinstance(block, ToolUseBlock) and block.name in (
                    "Task",
                    "Agent",
                ):
                    print(f"Subagent invoked: {block.input.get('subagent_type')}")

        # Check if this message is from within a subagent's context
        if hasattr(message, "parent_tool_use_id") and message.parent_tool_use_id:
            print("  (running inside subagent)")

        if hasattr(message, "result"):
            print(message.result)


asyncio.run(main())

import { query } from "@anthropic-ai/claude-agent-sdk";

for await (const message of query({
  prompt: "Use the code-reviewer agent to review this codebase",
  options: {
    allowedTools: ["Read", "Glob", "Grep", "Agent"],
    agents: {
      "code-reviewer": {
        description: "Expert code reviewer.",
        prompt: "Analyze code quality and suggest improvements.",
        tools: ["Read", "Glob", "Grep"]
      }
    }
  }
})) {
  const msg = message as any;

  // Check for subagent invocation. Match both names: older SDK versions
  // emitted "Task", current versions emit "Agent".
  for (const block of msg.message?.content ?? []) {
    if (block.type === "tool_use" && (block.name === "Task" || block.name === "Agent")) {
      console.log(`Subagent invoked: ${block.input.subagent_type}`);
    }
  }

  // Check if this message is from within a subagent's context
  if (msg.parent_tool_use_id) {
    console.log("  (running inside subagent)");
    // On assistant and user messages, agent_id matches the task_id
    // on that subagent's task_started and other task events
    if (msg.agent_id) {
      console.log(`  agent_id: ${msg.agent_id}`);
    }
  }

  if ("result" in message) {
    console.log(message.result);
  }
}

import asyncio
import re
from claude_agent_sdk import query, ClaudeAgentOptions, AgentDefinition, ToolResultBlock

AGENTS = {
    "endpoint-finder": AgentDefinition(
        description="Locates and catalogs API endpoints in a codebase.",
        prompt="You find and document API endpoints. Report each endpoint's path, method, and handler.",
        tools=["Read", "Grep", "Glob"],
    )
}


def extract_agent_id(block: ToolResultBlock) -> str | None:
    """Extract agentId from an Agent tool result's text content."""
    parts = block.content if isinstance(block.content, list) else [{"text": block.content}]
    for part in parts:
        if match := re.search(r"agentId:\s*([\w-]+)", part.get("text") or ""):
            return match.group(1)
    return None


async def main():
    agent_id = None
    session_id = None

    # First invocation - run the endpoint-finder subagent
    try:
        async for message in query(
            prompt="Use the endpoint-finder agent to find all API endpoints in this codebase",
            options=ClaudeAgentOptions(allowed_tools=["Read", "Grep", "Glob", "Agent"], agents=AGENTS),
        ):
            # Capture session_id from ResultMessage (needed to resume this session)
            if hasattr(message, "session_id"):
                session_id = message.session_id
            # Search tool results for the agentId trailer
            for block in getattr(message, "content", None) or []:
                if isinstance(block, ToolResultBlock):
                    agent_id = extract_agent_id(block) or agent_id
            # Print the final result
            if hasattr(message, "result"):
                print(message.result)
    except Exception as error:
        # A single-shot query() raises after yielding an error result,
        # so session_id and agent_id have already been captured by the loop above.
        print(f"Session ended with an error: {error}")

    # Second invocation - resume and ask follow-up
    if agent_id and session_id:
        async for message in query(
            prompt=f"Resume agent {agent_id} and list the top 3 most complex endpoints",
            options=ClaudeAgentOptions(
                allowed_tools=["Read", "Grep", "Glob", "Agent"], agents=AGENTS, resume=session_id
            ),
        ):
            if hasattr(message, "result"):
                print(message.result)
    else:
        print("No agentId found in the first query, so there is no subagent to resume.")


asyncio.run(main())

import { query, type SDKMessage } from "@anthropic-ai/claude-agent-sdk";

const agents = {
  "endpoint-finder": {
    description: "Locates and catalogs API endpoints in a codebase.",
    prompt: "You find and document API endpoints. Report each endpoint's path, method, and handler.",
    tools: ["Read", "Grep", "Glob"]
  }
};

// Stringify content to search for agentId without traversing nested block types
function extractAgentId(message: SDKMessage): string | undefined {
  if (message.type !== "assistant" && message.type !== "user") return undefined;
  const content = JSON.stringify(message.message.content);
  const match = content.match(/agentId:\s*([\w-]+)/);
  return match?.[1];
}

let agentId: string | undefined;
let sessionId: string | undefined;

// First invocation - run the endpoint-finder subagent
try {
  for await (const message of query({
    prompt: "Use the endpoint-finder agent to find all API endpoints in this codebase",
    options: { allowedTools: ["Read", "Grep", "Glob", "Agent"], agents }
  })) {
    // Capture session_id from ResultMessage (needed to resume this session)
    if ("session_id" in message) sessionId = message.session_id;
    // Search message content for the agentId (appears in Agent tool results)
    const extractedId = extractAgentId(message);
    if (extractedId) agentId = extractedId;
    // Print the final result
    if ("result" in message) console.log(message.result);
  }
} catch (error) {
  // A single-shot query() throws after yielding an error result,
  // so sessionId and agentId have already been captured by the loop above.
  console.error(`Session ended with an error: ${error}`);
}

// Second invocation - resume and ask follow-up
if (agentId && sessionId) {
  for await (const message of query({
    prompt: `Resume agent ${agentId} and list the top 3 most complex endpoints`,
    options: { allowedTools: ["Read", "Grep", "Glob", "Agent"], agents, resume: sessionId }
  })) {
    if ("result" in message) console.log(message.result);
  }
} else {
  console.log("No agentId found in the first query, so there is no subagent to resume.");
}

import asyncio
from claude_agent_sdk import query, ClaudeAgentOptions, AgentDefinition


async def main():
    async for message in query(
        prompt="Analyze the architecture of this codebase",
        options=ClaudeAgentOptions(
            allowed_tools=["Read", "Grep", "Glob", "Agent"],
            agents={
                "code-analyzer": AgentDefinition(
                    description="Static code analysis and architecture review",
                    prompt="""You are a code architecture analyst. Analyze code structure,
identify patterns, and suggest improvements without making changes.""",
                    # Read-only tools: no Edit, Write, or Bash access
                    tools=["Read", "Grep", "Glob"],
                )
            },
        ),
    ):
        if hasattr(message, "result"):
            print(message.result)


asyncio.run(main())

import { query } from "@anthropic-ai/claude-agent-sdk";

for await (const message of query({
  prompt: "Analyze the architecture of this codebase",
  options: {
    allowedTools: ["Read", "Grep", "Glob", "Agent"],
    agents: {
      "code-analyzer": {
        description: "Static code analysis and architecture review",
        prompt: `You are a code architecture analyst. Analyze code structure,
identify patterns, and suggest improvements without making changes.`,
        // Read-only tools: no Edit, Write, or Bash access
        tools: ["Read", "Grep", "Glob"]
      }
    }
  }
})) {
  if ("result" in message) console.log(message.result);
}

import asyncio
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage


async def main():
    try:
        async for message in query(
            prompt="Audit every service in this repo for unhandled promise rejections",
            options=ClaudeAgentOptions(
                allowed_tools=["Read", "Grep", "Glob", "Agent"],
                # env is merged on top of the inherited environment
                env={
                    "CLAUDE_CODE_MAX_SUBAGENT_SPAWN_DEPTH": "1",
                    "CLAUDE_CODE_MAX_CONCURRENT_SUBAGENTS": "5",
                },
                max_budget_usd=5.0,
            ),
        ):
            if isinstance(message, ResultMessage):
                print(f"{message.subtype}: ${message.total_cost_usd}")
    except Exception as error:
        # A single-shot query() raises after yielding an error result,
        # so the budget-capped result has already been printed above.
        print(f"Session ended with an error: {error}")


asyncio.run(main())

import { query } from "@anthropic-ai/claude-agent-sdk";

try {
  for await (const message of query({
    prompt: "Audit every service in this repo for unhandled promise rejections",
    options: {
      allowedTools: ["Read", "Grep", "Glob", "Agent"],
      // env replaces the subprocess environment, so spread process.env to keep PATH
      env: {
        ...process.env,
        CLAUDE_CODE_MAX_SUBAGENT_SPAWN_DEPTH: "1",
        CLAUDE_CODE_MAX_CONCURRENT_SUBAGENTS: "5",
      },
      maxBudgetUsd: 5,
    },
  })) {
    if (message.type === "result") {
      console.log(`${message.subtype}: $${message.total_cost_usd}`);
    }
  }
} catch (error) {
  // A single-shot query() throws after yielding an error result,
  // so the budget-capped result has already been logged above.
  console.error(`Session ended with an error: ${error}`);
}