claude-agent-sdk

Claude Agent SDK - Structured Outputs & Error Prevention Guide

Package: @anthropic-ai/[email protected] Breaking Changes: v0.1.45 - Structured outputs (Nov 2025), v0.1.0 - No default system prompt, settingSources required

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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
• outputFormat parameter - 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)

• plugins array - 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 failures
• maxThinkingTokens - Control extended thinking budget
• strictMcpConfig - Strict MCP configuration validation
• continue - Resume with new prompt (differs from resume)
• permissionMode: 'plan' - New permission mode for planning workflows

📚 Docs: https://platform.claude.com/docs/en/agent-sdk/structured-outputs

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The Complete Claude Agent SDK Reference

Table of Contents

1. Core Query API
2. Tool Integration
3. MCP Servers
4. Subagent Orchestration
5. Session Management
6. Permission Control
7. Sandbox Settings
8. File Checkpointing
9. Filesystem Settings
10. Query Object Methods
11. Message Types & Streaming
12. Error Handling
13. Known Issues

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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 callback
• agents - Programmatic subagent definitions
• mcpServers - MCP server configuration
• permissionMode - 'default'|'acceptEdits'|'bypassPermissions'|'plan'
• betas - Enable beta features (e.g., 1M context window)
• sandbox - Sandbox settings for secure execution
• enableFileCheckpointing - Enable file state snapshots
• systemPrompt - 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.

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Tool Integration (Built-in + Custom)

Tool Control:

• allowedTools - Whitelist (takes precedence)
• disallowedTools - Blacklist
• canUseTool - 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.

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MCP Servers (Model Context Protocol)

Server Types:

• In-process - createSdkMcpServer() with tool() 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 allowedTools array

Examples: mcp__weather-service__get_weather, mcp__filesystem__read_file

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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 

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