串流輸入
了解 Claude Agent SDK 的兩種輸入模式及何時使用各種模式
概述
Claude Agent SDK 支援兩種不同的輸入模式來與代理互動：
- 串流輸入模式（預設且推薦）- 持久的互動式工作階段
- 單一訊息輸入 - 使用工作階段狀態和恢復的一次性查詢
本指南說明每種模式的差異、優點和使用案例，幫助您為應用程式選擇正確的方法。
串流輸入模式（推薦）
串流輸入模式是使用 Claude Agent SDK 的首選方式。它提供對代理功能的完整存取，並啟用豐富的互動式體驗。
它允許代理作為長期執行的程序運作，接收使用者輸入、處理中斷、顯示權限請求，以及處理工作階段管理。
運作方式
sequenceDiagram
participant App as Your Application
participant Agent as Claude Agent
participant Tools as Tools/Hooks
participant FS as Environment/<br/>File System
App->>Agent: Initialize with AsyncGenerator
activate Agent
App->>Agent: Yield Message 1
Agent->>Tools: Execute tools
Tools->>FS: Read files
FS-->>Tools: File contents
Tools->>FS: Write/Edit files
FS-->>Tools: Success/Error
Agent-->>App: Stream partial response
Agent-->>App: Stream more content...
Agent->>App: Complete Message 1
App->>Agent: Yield Message 2 + Image
Agent->>Tools: Process image & execute
Tools->>FS: Access filesystem
FS-->>Tools: Operation results
Agent-->>App: Stream response 2
App->>Agent: Queue Message 3
App->>Agent: Interrupt/Cancel
Agent->>App: Handle interruption
Note over App,Agent: Session stays alive
Note over Tools,FS: Persistent file system<br/>state maintained
deactivate Agent
優點
影像上傳
直接將影像附加到訊息中以進行視覺分析和理解
佇列訊息
傳送多個訊息以順序處理，並能夠中斷
工具整合
在工作階段期間完整存取所有工具和自訂 MCP 伺服器
Hooks 支援
使用生命週期 hooks 在各個點自訂行為
即時回饋
查看產生的回應，而不僅僅是最終結果
內容持久性
自然地在多個回合中維持對話內容
實作範例
import { query, type SDKUserMessage } from "@anthropic-ai/claude-agent-sdk";
import { readFile } from "fs/promises";
async function* generateMessages(): AsyncGenerator<SDKUserMessage> {
// First message
yield {
type: "user",
message: {
role: "user",
content: "Analyze this codebase for security issues"
},
parent_tool_use_id: null
};
// Wait for conditions or user input
await new Promise((resolve) => setTimeout(resolve, 2000));
// Follow-up with image
yield {
type: "user",
message: {
role: "user",
content: [
{
type: "text",
text: "Review this architecture diagram"
},
{
type: "image",
source: {
type: "base64",
media_type: "image/png",
data: await readFile("diagram.png", "base64")
}
}
]
},
parent_tool_use_id: null
};
}
// Process streaming responses
for await (const message of query({
prompt: generateMessages(),
options: {
maxTurns: 10,
allowedTools: ["Read", "Grep"]
}
})) {
if (message.type === "result" && message.subtype === "success") {
console.log(message.result);
}
}
from claude_agent_sdk import (
ClaudeSDKClient,
ClaudeAgentOptions,
AssistantMessage,
TextBlock,
)
import asyncio
import base64
async def streaming_analysis():
async def message_generator():
# First message
yield {
"type": "user",
"message": {
"role": "user",
"content": "Analyze this codebase for security issues",
},
}
# Wait for conditions
await asyncio.sleep(2)
# Follow-up with image
with open("diagram.png", "rb") as f:
image_data = base64.b64encode(f.read()).decode()
yield {
"type": "user",
"message": {
"role": "user",
"content": [
{"type": "text", "text": "Review this architecture diagram"},
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/png",
"data": image_data,
},
},
],
},
}
# Use ClaudeSDKClient for streaming input
options = ClaudeAgentOptions(max_turns=10, allowed_tools=["Read", "Grep"])
async with ClaudeSDKClient(options) as client:
# Send streaming input
await client.query(message_generator())
# Process responses
async for message in client.receive_response():
if isinstance(message, AssistantMessage):
for block in message.content:
if isinstance(block, TextBlock):
print(block.text)
asyncio.run(streaming_analysis())
單一訊息輸入
單一訊息輸入更簡單但功能更受限。
何時使用單一訊息輸入
在以下情況下使用單一訊息輸入：
- 您需要一次性回應
- 您不需要影像附件、hooks 等
- 您需要在無狀態環境中運作，例如 lambda 函式
限制
實作範例
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" && message.subtype === "success") {
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" && message.subtype === "success") {
console.log(message.result);
}
}
from claude_agent_sdk import query, ClaudeAgentOptions, ResultMessage
import asyncio
async def single_message_example():
# Simple one-shot query using query() function
async for message in query(
prompt="Explain the authentication flow",
options=ClaudeAgentOptions(max_turns=1, allowed_tools=["Read", "Grep"]),
):
if isinstance(message, ResultMessage):
print(message.result)
# Continue conversation with session management
async for message in query(
prompt="Now explain the authorization process",
options=ClaudeAgentOptions(continue_conversation=True, max_turns=1),
):
if isinstance(message, ResultMessage):
print(message.result)
asyncio.run(single_message_example())