Usar características de Claude Code en el SDK

from claude_agent_sdk import query, ClaudeAgentOptions, AssistantMessage, ResultMessage
import asyncio


async def main():
    async for message in query(
        prompt="Help me refactor the auth module",
        options=ClaudeAgentOptions(
            # "user" loads from ~/.claude/, "project" loads from ./.claude/ in cwd.
            # Together they give the agent access to CLAUDE.md, skills, hooks, and
            # permissions from both locations.
            setting_sources=["user", "project"],
            allowed_tools=["Read", "Edit", "Bash"],
        ),
    ):
        if isinstance(message, AssistantMessage):
            for block in message.content:
                if hasattr(block, "text"):
                    print(block.text)
        if isinstance(message, ResultMessage) and message.subtype == "success":
            print(f"\nResult: {message.result}")


asyncio.run(main())

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

for await (const message of query({
  prompt: "Help me refactor the auth module",
  options: {
    // "user" loads from ~/.claude/, "project" loads from ./.claude/ in cwd.
    // Together they give the agent access to CLAUDE.md, skills, hooks, and
    // permissions from both locations.
    settingSources: ["user", "project"],
    allowedTools: ["Read", "Edit", "Bash"]
  }
})) {
  if (message.type === "assistant") {
    for (const block of message.message.content) {
      if (block.type === "text") console.log(block.text);
    }
  }
  if (message.type === "result" && message.subtype === "success") {
    console.log(`\nResult: ${message.result}`);
  }
}

from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
import asyncio


# Skills in .claude/skills/ are discovered automatically
# when settingSources includes "project"
async def main():
    async for message in query(
        prompt="Review this PR using our code review checklist",
        options=ClaudeAgentOptions(
            setting_sources=["user", "project"],
            skills="all",
            allowed_tools=["Read", "Grep", "Glob"],
        ),
    ):
        if isinstance(message, ResultMessage) and message.subtype == "success":
            print(message.result)


asyncio.run(main())

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

// Skills in .claude/skills/ are discovered automatically
// when settingSources includes "project"
for await (const message of query({
  prompt: "Review this PR using our code review checklist",
  options: {
    settingSources: ["user", "project"],
    skills: "all",
    allowedTools: ["Read", "Grep", "Glob"]
  }
})) {
  if (message.type === "result" && message.subtype === "success") {
    console.log(message.result);
  }
}

from claude_agent_sdk import query, ClaudeAgentOptions, HookMatcher, ResultMessage
import asyncio


# PreToolUse hook callback. Positional args:
#   input_data: HookInput dict with tool_name, tool_input, hook_event_name
#   tool_use_id: str | None, the ID of the tool call being intercepted
#   context: HookContext, reserved for future abort-signal support
async def audit_bash(input_data, tool_use_id, context):
    command = input_data.get("tool_input", {}).get("command", "")
    if "rm -rf" in command:
        return {
            "hookSpecificOutput": {
                "hookEventName": "PreToolUse",
                "permissionDecision": "deny",
                "permissionDecisionReason": "Destructive command blocked",
            }
        }
    return {}  # Empty dict: allow the tool to proceed


# Filesystem hooks from .claude/settings.json run automatically
# when settingSources loads them. You can also add programmatic hooks:
async def main():
    async for message in query(
        prompt="Refactor the auth module",
        options=ClaudeAgentOptions(
            setting_sources=["project"],  # Loads hooks from .claude/settings.json
            hooks={
                "PreToolUse": [
                    HookMatcher(matcher="Bash", hooks=[audit_bash]),
                ]
            },
        ),
    ):
        if isinstance(message, ResultMessage) and message.subtype == "success":
            print(message.result)


asyncio.run(main())

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

// PreToolUse hook callback. HookInput is a discriminated union on
// hook_event_name, so narrowing on it gives TypeScript the right
// tool_input shape for this event.
const auditBash = async (input: HookInput): Promise<HookJSONOutput> => {
  if (input.hook_event_name !== "PreToolUse") return {};
  const toolInput = input.tool_input as { command?: string };
  if (toolInput.command?.includes("rm -rf")) {
    return {
      hookSpecificOutput: {
        hookEventName: "PreToolUse",
        permissionDecision: "deny",
        permissionDecisionReason: "Destructive command blocked",
      },
    };
  }
  return {}; // Empty object: allow the tool to proceed
};

// Filesystem hooks from .claude/settings.json run automatically
// when settingSources loads them. You can also add programmatic hooks:
for await (const message of query({
  prompt: "Refactor the auth module",
  options: {
    settingSources: ["project"], // Loads hooks from .claude/settings.json
    hooks: {
      PreToolUse: [{ matcher: "Bash", hooks: [auditBash] }]
    }
  }
})) {
  if (message.type === "result" && message.subtype === "success") {
    console.log(message.result);
  }
}