claude-agent-sdk
Build autonomous AI agents with Claude Agent SDK. Structured outputs guarantee JSON schema validation, with plugins system and hooks for event-driven workflows. Prevents 14 documented errors. Use when: building coding agents, SRE systems, security auditors, or troubleshooting CLI not found, structured output validation, session forking errors, MCP config issues, subagent cleanup.
Install
mkdir -p .claude/skills/claude-agent-sdk && curl -L -o skill.zip "https://mcp.directory/api/skills/download/6120" && unzip -o skill.zip -d .claude/skills/claude-agent-sdk && rm skill.zipInstalls to .claude/skills/claude-agent-sdk
About this skill
Claude Agent SDK - Structured Outputs & Error Prevention Guide
Package: @anthropic-ai/claude-agent-sdk@0.2.12 Breaking Changes: v0.1.45 - Structured outputs (Nov 2025), v0.1.0 - No default system prompt, settingSources required
What's New in v0.1.45+ (Nov 2025)
Major Features:
1. Structured Outputs (v0.1.45, Nov 14, 2025)
- JSON schema validation - Guarantees responses match exact schemas
outputFormatparameter - Define output structure with JSON schema or Zod- Access validated results - Via
message.structured_output - Beta header required:
structured-outputs-2025-11-13 - Type safety - Full TypeScript inference with Zod schemas
Example:
import { query } from "@anthropic-ai/claude-agent-sdk";
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
const schema = z.object({
summary: z.string(),
sentiment: z.enum(['positive', 'neutral', 'negative']),
confidence: z.number().min(0).max(1)
});
const response = query({
prompt: "Analyze this code review feedback",
options: {
model: "claude-sonnet-4-5",
outputFormat: {
type: "json_schema",
json_schema: {
name: "AnalysisResult",
strict: true,
schema: zodToJsonSchema(schema)
}
}
}
});
for await (const message of response) {
if (message.type === 'result' && message.structured_output) {
// Guaranteed to match schema
const validated = schema.parse(message.structured_output);
console.log(`Sentiment: ${validated.sentiment}`);
}
}
Zod Compatibility (v0.1.71+): SDK supports both Zod v3.24.1+ and Zod v4.0.0+ as peer dependencies. Import remains import { z } from "zod" for either version.
2. Plugins System (v0.1.27)
pluginsarray - Load local plugin paths- Custom plugin support - Extend agent capabilities
3. Hooks System (v0.1.0+)
All 12 Hook Events:
| Hook | When Fired | Use Case |
|---|---|---|
PreToolUse | Before tool execution | Validate, modify, or block tool calls |
PostToolUse | After tool execution | Log results, trigger side effects |
Notification | Agent notifications | Display status updates |
UserPromptSubmit | User prompt received | Pre-process or validate input |
SubagentStart | Subagent spawned | Track delegation, log context |
SubagentStop | Subagent completed | Aggregate results, cleanup |
PreCompact | Before context compaction | Save state before truncation |
PermissionRequest | Permission needed | Custom approval workflows |
Stop | Agent stopping | Cleanup, final logging |
SessionStart | Session begins | Initialize state |
SessionEnd | Session ends | Persist state, cleanup |
Error | Error occurred | Custom error handling |
Hook Configuration:
const response = query({
prompt: "...",
options: {
hooks: {
PreToolUse: async (input) => {
console.log(`Tool: ${input.toolName}`);
return { allow: true }; // or { allow: false, message: "..." }
},
PostToolUse: async (input) => {
await logToolUsage(input.toolName, input.result);
}
}
}
});
4. Additional Options
fallbackModel- Automatic model fallback on failuresmaxThinkingTokens- Control extended thinking budgetstrictMcpConfig- Strict MCP configuration validationcontinue- Resume with new prompt (differs fromresume)permissionMode: 'plan'- New permission mode for planning workflows
📚 Docs: https://platform.claude.com/docs/en/agent-sdk/structured-outputs
The Complete Claude Agent SDK Reference
Table of Contents
- Core Query API
- Tool Integration
- MCP Servers
- Subagent Orchestration
- Session Management
- Permission Control
- Sandbox Settings
- File Checkpointing
- Filesystem Settings
- Query Object Methods
- Message Types & Streaming
- Error Handling
- Known Issues
Core Query API
Key signature:
query(prompt: string | AsyncIterable<SDKUserMessage>, options?: Options)
-> AsyncGenerator<SDKMessage>
Critical Options:
outputFormat- Structured JSON schema validation (v0.1.45+)settingSources- Filesystem settings loading ('user'|'project'|'local')canUseTool- Custom permission logic callbackagents- Programmatic subagent definitionsmcpServers- MCP server configurationpermissionMode- 'default'|'acceptEdits'|'bypassPermissions'|'plan'betas- Enable beta features (e.g., 1M context window)sandbox- Sandbox settings for secure executionenableFileCheckpointing- Enable file state snapshotssystemPrompt- System prompt (string or preset object)
Extended Context (1M Tokens)
Enable 1 million token context window:
const response = query({
prompt: "Analyze this large codebase",
options: {
betas: ['context-1m-2025-08-07'], // Enable 1M context
model: "claude-sonnet-4-5"
}
});
System Prompt Configuration
Two forms of systemPrompt:
// 1. Simple string
systemPrompt: "You are a helpful coding assistant."
// 2. Preset with optional append (preserves Claude Code defaults)
systemPrompt: {
type: 'preset',
preset: 'claude_code',
append: "\n\nAdditional context: Focus on security."
}
Use preset form when you want Claude Code's default behaviors plus custom additions.
Tool Integration (Built-in + Custom)
Tool Control:
allowedTools- Whitelist (takes precedence)disallowedTools- BlacklistcanUseTool- Custom permission callback (see Permission Control section)
Built-in Tools: Read, Write, Edit, Bash, Grep, Glob, WebSearch, WebFetch, Task, NotebookEdit, BashOutput, KillBash, ListMcpResources, ReadMcpResource, AskUserQuestion
AskUserQuestion Tool (v0.1.71+)
Enable user interaction during agent execution:
const response = query({
prompt: "Review and refactor the codebase",
options: {
allowedTools: ["Read", "Write", "Edit", "AskUserQuestion"]
}
});
// Agent can now ask clarifying questions
// Questions appear in message stream as tool_call with name "AskUserQuestion"
Use cases:
- Clarify ambiguous requirements mid-task
- Get user approval before destructive operations
- Present options and get selection
Tools Configuration (v0.1.57+)
Three forms of tool configuration:
// 1. Exact allowlist (string array)
tools: ["Read", "Write", "Grep"]
// 2. Disable all tools (empty array)
tools: []
// 3. Preset with defaults (object form)
tools: { type: 'preset', preset: 'claude_code' }
Note: allowedTools and disallowedTools still work but tools provides more flexibility.
MCP Servers (Model Context Protocol)
Server Types:
- In-process -
createSdkMcpServer()withtool()definitions - External - stdio, HTTP, SSE transport
Tool Definition:
tool(name: string, description: string, zodSchema, handler)
Handler Return:
{ content: [{ type: "text", text: "..." }], isError?: boolean }
External MCP Servers (stdio)
const response = query({
prompt: "List files and analyze Git history",
options: {
mcpServers: {
// Filesystem server
"filesystem": {
command: "npx",
args: ["@modelcontextprotocol/server-filesystem"],
env: {
ALLOWED_PATHS: "/Users/developer/projects:/tmp"
}
},
// Git operations server
"git": {
command: "npx",
args: ["@modelcontextprotocol/server-git"],
env: {
GIT_REPO_PATH: "/Users/developer/projects/my-repo"
}
}
},
allowedTools: [
"mcp__filesystem__list_files",
"mcp__filesystem__read_file",
"mcp__git__log",
"mcp__git__diff"
]
}
});
External MCP Servers (HTTP/SSE)
const response = query({
prompt: "Analyze data from remote service",
options: {
mcpServers: {
"remote-service": {
url: "https://api.example.com/mcp",
headers: {
"Authorization": "Bearer your-token-here",
"Content-Type": "application/json"
}
}
},
allowedTools: ["mcp__remote-service__analyze"]
}
});
MCP Tool Naming Convention
Format: mcp__<server-name>__<tool-name>
CRITICAL:
- Server name and tool name MUST match configuration
- Use double underscores (
__) as separators - Include in
allowedToolsarray
Examples: mcp__weather-service__get_weather, mcp__filesystem__read_file
Subagent Orchestration
AgentDefinition Type
type AgentDefinition = {
description: string; // When to use this agent
prompt: string; // System prompt for agent
tools?: string[]; // Allowed tools (optional)
model?: 'sonnet' | 'opus' | 'haiku' | 'inherit'; // Model (optional)
skills?: string[]; // Skills to load (v0.2.10+)
maxTurns?: number; // Maximum turns before stopping (v0.2.10+)
}
Field Details:
- description: When to use agent (used by main agent for delegation)
- prompt: System prompt (defines role, inherits main context)
- tools: Allowed tools (if omitted, inherits from main agent)
- model: Model override (
haiku/sonnet/opus/inherit) - skills: Skills to load for agent (v0.2.10+)
- maxTurns: Limit agent to N turns before returning control (v0.2.10+)
Usage:
agents: {
"security-checker": {
description: "Security audits and
---
*Content truncated.*
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