Source: https://docs.claude.com/en/docs/agent-sdk/streaming-vs-single-mode

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Streaming Input

Home Developer Guide API Reference Model Context Protocol (MCP) Resources Release Notes

On this page

• Overview

• Streaming Input Mode (Recommended)

• How It Works

• Benefits

• Implementation Example

• Single Message Input

• When to Use Single Message Input

• Limitations

• Implementation Example

​

Overview

The Claude Agent SDK supports two distinct input modes for interacting with agents:

• Streaming Input Mode (Default & Recommended) - A persistent, interactive session
• Single Message Input - One-shot queries that use session state and resuming

This guide explains the differences, benefits, and use cases for each mode to help you choose the right approach for your application.

​

Streaming Input Mode (Recommended)

Streaming input mode is the preferred way to use the Claude Agent SDK. It provides full access to the agent’s capabilities and enables rich, interactive experiences. It allows the agent to operate as a long lived process that takes in user input, handles interruptions, surfaces permission requests, and handles session management.

​

How It Works

Environment/File SystemTools/HooksClaude AgentYour ApplicationEnvironment/File SystemTools/HooksClaude AgentYour ApplicationSession stays alivePersistent file systemstate maintainedInitialize with AsyncGeneratorYield Message 1Execute toolsRead filesFile contentsWrite/Edit filesSuccess/ErrorStream partial responseStream more content...Complete Message 1Yield Message 2 + ImageProcess image & executeAccess filesystemOperation resultsStream response 2Queue Message 3Interrupt/CancelHandle interruption

​

Benefits

Image Uploads

Attach images directly to messages for visual analysis and understanding

Queued Messages

Send multiple messages that process sequentially, with ability to interrupt

Tool Integration

Full access to all tools and custom MCP servers during the session

Hooks Support

Use lifecycle hooks to customize behavior at various points

Real-time Feedback

See responses as they’re generated, not just final results

Context Persistence

Maintain conversation context across multiple turns naturally

​

Implementation Example

TypeScript

Python

Copy

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

async function* generateMessages() {
  // First message
  yield {
    type: "user" as const,
    message: {
      role: "user" as const,
      content: "Analyze this codebase for security issues"
    }
  };
  
  // Wait for conditions or user input
  await new Promise(resolve => setTimeout(resolve, 2000));
  
  // Follow-up with image
  yield {
    type: "user" as const,
    message: {
      role: "user" as const,
      content: [\
        {\
          type: "text",\
          text: "Review this architecture diagram"\
        },\
        {\
          type: "image",\
          source: {\
            type: "base64",\
            media_type: "image/png",\
            data: readFileSync("diagram.png", "base64")\
          }\
        }\
      ]
    }
  };
}

// Process streaming responses
for await (const message of query({
  prompt: generateMessages(),
  options: {
    maxTurns: 10,
    allowedTools: ["Read", "Grep"]
  }
})) {
  if (message.type === "result") {
    console.log(message.result);
  }
}

​

Single Message Input

Single message input is simpler but more limited.

​

When to Use Single Message Input

Use single message input when:

• You need a one-shot response
• You do not need image attachments, hooks, etc.
• You need to operate in a stateless environment, such as a lambda function

​

Limitations

Single message input mode does not support:

• Direct image attachments in messages
• Dynamic message queueing
• Real-time interruption
• Hook integration
• Natural multi-turn conversations

​

Implementation Example

TypeScript

Python

Copy

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

// Simple one-shot query
for await (const message of query({
  prompt: "Explain the authentication flow",
  options: {
    maxTurns: 1,
    allowedTools: ["Read", "Grep"]
  }
})) {
  if (message.type === "result") {
    console.log(message.result);
  }
}

// Continue conversation with session management
for await (const message of query({
  prompt: "Now explain the authorization process",
  options: {
    continue: true,
    maxTurns: 1
  }
})) {
  if (message.type === "result") {
    console.log(message.result);
  }
}

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