---
title: 串流訊息
url: https://platform.claude.com/docs/zh-TW/build-with-claude/streaming
description: 使用伺服器傳送事件以增量方式串流 Messages API 回應，包括文字、工具使用和思考增量。
---

建立 Message 時，您可以設定 `"stream": true`，以使用 [server-sent events](https://developer.mozilla.org/en-US/Web/API/Server-sent%5Fevents/Using%5Fserver-sent%5Fevents)（伺服器傳送事件），即 SSE，以增量方式串流（streaming）回應。

## 使用 SDK 進行串流

[Python SDK](https://github.com/anthropics/anthropic-sdk-python) 與 [TypeScript SDK](https://github.com/anthropics/anthropic-sdk-typescript) 提供多種串流方式。[PHP SDK](https://github.com/anthropics/anthropic-sdk-php) 透過 `createStream()` 提供串流功能。Python SDK 同時支援同步與非同步串流。詳情請參閱各 SDK 的文件。

<CodeGroup exclude="shell:cURL">
  ```bash CLI
  ant messages create --stream --format jsonl \
    --model claude-opus-5-5 \
    --max-tokens 1024 \
    --message '{role: user, content: "Hello"}' \
    | jq -rj 'select(.delta.type? == "text_delta") | .delta.text'
  ```

  ```python Python
  client = anthropic.Anthropic()

  with client.messages.stream(
      max_tokens=1024,
      messages=[{"role": "user", "content": "Hello"}],
      model="claude-opus-5-5",
  ) as stream:
      for text in stream.text_stream:
          print(text, end="", flush=True)
  ```

  ```typescript TypeScript
  const client = new Anthropic();

  await client.messages
    .stream({
      messages: [{ role: "user", content: "Hello" }],
      model: "claude-opus-5-5",
      max_tokens: 1024
    })
    .on("text", (text) => {
      console.log(text);
    });
  ```

  ```csharp C#
  AnthropicClient client = new();

  var parameters = new MessageCreateParams
  {
      Model = Model.ClaudeOpus5_5,
      MaxTokens = 1024,
      Messages = [new() { Role = Role.User, Content = "Hello" }]
  };

  await foreach (var msg in client.Messages.CreateStreaming(parameters))
  {
      Console.Write(msg);
  }
  ```

  ```go Go
  client := anthropic.NewClient()

  stream := client.Messages.NewStreaming(context.TODO(), anthropic.MessageNewParams{
  	Model:     anthropic.ModelClaudeOpus5_5,
  	MaxTokens: 1024,
  	Messages: []anthropic.MessageParam{
  		anthropic.NewUserMessage(anthropic.NewTextBlock("Hello")),
  	},
  })

  for stream.Next() {
  	event := stream.Current()
  	switch eventVariant := event.AsAny().(type) {
  	case anthropic.ContentBlockDeltaEvent:
  		switch deltaVariant := eventVariant.Delta.AsAny().(type) {
  		case anthropic.TextDelta:
  			fmt.Print(deltaVariant.Text)
  		}
  	}
  }
  if err := stream.Err(); err != nil {
  	log.Fatal(err)
  }
  ```

  ```java Java
  AnthropicClient client = AnthropicOkHttpClient.fromEnv();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.CLAUDE_OPUS_5_5)
      .maxTokens(1024L)
      .addUserMessage("Hello")
      .build();

  try (var streamResponse = client.messages().createStreaming(params)) {
      streamResponse.stream().forEach(event -> {
          event.contentBlockDelta().ifPresent(deltaEvent ->
              deltaEvent.delta().text().ifPresent(td ->
                  System.out.print(td.text())
              )
          );
      });
  }
  ```

  ```php PHP
  $client = new Client();

  $stream = $client->messages->createStream(
      maxTokens: 1024,
      messages: [
          ['role' => 'user', 'content' => 'Hello']
      ],
      model: 'claude-opus-5-5',
  );

  foreach ($stream as $message) {
      echo $message;
  }
  ```

  ```ruby Ruby
  client = Anthropic::Client.new

  stream = client.messages.stream(
    model: "claude-opus-5-5",
    max_tokens: 1024,
    messages: [{ role: "user", content: "Hello" }]
  )

  stream.text.each { |text| print(text) }
  ```
</CodeGroup>

## 不處理事件即取得最終訊息

如果您不需要在文字抵達時即時處理，SDK 提供了一種在內部使用串流、同時回傳完整 `Message` 物件的方式，該物件與 `client.messages.create()` (go: `client.Messages.New()`; java: `client.messages().create()`; csharp: `client.Messages.Create()`; php: `$client->messages->create()`) 回傳的內容完全相同。這對於 `max_tokens` 值較大的請求特別有用，因為在這種情況下 SDK 需要使用串流以避免 HTTP 逾時。

<CodeGroup exclude="shell:cURL">
  ```bash CLI
  # ant CLI 的 --stream 旗標每行輸出一個事件，且不會
  # 累積成最終的 Message。若生成內容較長，請以 streaming（串流）方式輸出
  # 原始事件：
  ant messages create --stream --format jsonl <<'YAML'
  model: claude-opus-5-5
  max_tokens: 128000
  messages:
    - role: user
      content: Write a detailed analysis...
  YAML
  ```

  ```python Python
  client = anthropic.Anthropic()

  with client.messages.stream(
      max_tokens=128000,
      messages=[{"role": "user", "content": "Write a detailed analysis..."}],
      model="claude-opus-5-5",
  ) as stream:
      message = stream.get_final_message()

  for block in message.content:
      if block.type == "text":
          print(block.text)
  ```

  ```typescript TypeScript
  const client = new Anthropic();

  const stream = client.messages.stream({
    max_tokens: 128000,
    messages: [{ role: "user", content: "Write a detailed analysis..." }],
    model: "claude-opus-5-5"
  });

  const message = await stream.finalMessage();
  const textBlock = message.content.find((block) => block.type === "text");
  if (textBlock && textBlock.type === "text") {
    console.log(textBlock.text);
  }
  ```

  ```csharp C#
  AnthropicClient client = new();

  var parameters = new MessageCreateParams
  {
      Model = Model.ClaudeOpus5_5,
      MaxTokens = 128000,
      Messages = [new() { Role = Role.User, Content = "Write a detailed analysis..." }]
  };

  // 若也要在事件抵達時即時處理，請改為將 MessageContentAggregator 傳給 CollectAsync()。
  var message = await client.Messages.CreateStreaming(parameters).Aggregate();
  Console.WriteLine(message);
  ```

  ```go Go
  client := anthropic.NewClient()

  stream := client.Messages.NewStreaming(context.TODO(), anthropic.MessageNewParams{
  	Model:     anthropic.ModelClaudeOpus5_5,
  	MaxTokens: 128000,
  	Messages: []anthropic.MessageParam{
  		anthropic.NewUserMessage(anthropic.NewTextBlock("Write a detailed analysis...")),
  	},
  })

  message := anthropic.Message{}
  for stream.Next() {
  	event := stream.Current()
  	if err := message.Accumulate(event); err != nil {
  		log.Fatal(err)
  	}
  }
  if err := stream.Err(); err != nil {
  	log.Fatal(err)
  }

  for _, block := range message.Content {
  	if textBlock, ok := block.AsAny().(anthropic.TextBlock); ok {
  		fmt.Println(textBlock.Text)
  	}
  }
  ```

  ```java Java
  AnthropicClient client = AnthropicOkHttpClient.fromEnv();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.CLAUDE_OPUS_5_5)
      .maxTokens(128000L)
      .addUserMessage("Write a detailed analysis...")
      .build();

  MessageAccumulator accumulator = MessageAccumulator.create();
  try (var streamResponse = client.messages().createStreaming(params)) {
      streamResponse.stream().forEach(accumulator::accumulate);
  }

  Message message = accumulator.message();
  message.content().stream()
      .flatMap(block -> block.text().stream())
      .forEach(textBlock -> System.out.println(textBlock.text()));
  ```

  ```php PHP
  use Anthropic\Lib\Streaming\MessageAccumulator;

  $client = new Client();

  $stream = $client->messages->createStream(
      maxTokens: 128000,
      messages: [
          ['role' => 'user', 'content' => 'Write a detailed analysis...']
      ],
      model: 'claude-opus-5-5',
  );

  $accumulator = MessageAccumulator::forMessages();
  foreach ($stream as $event) {
      $accumulator->accumulate($event);
  }

  echo array_find($accumulator->message()->content, static fn ($block): bool => $block->type === 'text')->text;
  ```

  ```ruby Ruby
  client = Anthropic::Client.new

  message = client.messages.stream(
    model: "claude-opus-5-5",
    max_tokens: 128000,
    messages: [{ role: "user", content: "Write a detailed analysis..." }]
  ).accumulated_message

  message.content.each do |block|
    puts block.text if block.type == :text
  end
  ```
</CodeGroup>

`.stream()` (java: `.createStreaming()`; csharp: `.CreateStreaming()`; go: `.NewStreaming()`; php: `->createStream()`) 呼叫會透過伺服器傳送事件保持 HTTP 連線，接著 SDK 的訊息累積輔助工具 `stream.get_final_message()` (typescript: `stream.finalMessage()`; ruby: `stream.accumulated_message`; csharp: `.Aggregate()`; go: `message.Accumulate(event)`; java, php: `MessageAccumulator`) 會將所有事件收集成完整的 `Message` 物件。

## 事件類型

每個伺服器傳送事件都包含一個具名的事件類型及相關的 JSON 資料。每個事件使用一個 SSE 事件名稱（例如 `event: message_stop`），並在其資料中包含對應的事件 `type`。

每個串流使用以下事件流程：

1. `message_start`：包含一個 `content` 為空的 `Message` 物件。在 [`thinking-binding-controls-2026-08-01`](https://platform.claude.com/docs/zh-TW/build-with-claude/thinking#preserved-thinking-controls) beta 標頭下，此 `Message` 物件也會帶有 `input_transformations` 陣列。在串流中途發生[伺服器端回退](https://platform.claude.com/docs/zh-TW/build-with-claude/refusals-and-fallback#server-side-fallback)之後，最終的 `message_delta` 事件會再次帶有該陣列，其中包含實際提供服務之模型的項目。
2. 一系列內容區塊，每個區塊都有一個 `content_block_start`、一個或多個 `content_block_delta` 事件，以及一個 `content_block_stop` 事件。每個內容區塊都有一個 `index`，對應其在最終 Message `content` 陣列中的索引。有一個例外：在[伺服器端回退](https://platform.claude.com/docs/zh-TW/build-with-claude/refusals-and-fallback#server-side-fallback)回應期間，`fallback` 內容區塊會在每個模型邊界處以一對 `content_block_start` 與 `content_block_stop` 的形式抵達，中間沒有任何增量事件。
3. 一個或多個 `message_delta` 事件，表示對最終 `Message` 物件的頂層變更。
4. 最終的 `message_stop` 事件。

<Warning>
  `message_delta` 事件的 `usage` 欄位中顯示的 token 計數是*累計*的。
</Warning>

### Ping 事件

事件串流也可能包含任意數量的 `ping` 事件。

### 錯誤事件

API 偶爾可能會在事件串流中傳送[錯誤](https://platform.claude.com/docs/zh-TW/api/errors)。例如，在高使用量期間，您可能會收到 `overloaded_error`，這在非串流情境下通常對應於 HTTP 529：

```sse Example error
event: error
data: {"type": "error", "error": {"type": "overloaded_error", "message": "Overloaded"}}
```

### 其他事件

依據[版本政策](https://platform.claude.com/docs/zh-TW/api/versioning)，未來可能會新增事件類型，您的程式碼應能妥善處理未知的事件類型。

## 內容區塊增量類型

每個 `content_block_delta` 事件都包含一個特定類型的 `delta`，用於更新指定 `index` 處的 `content` 區塊。

### 文字增量

`text` 內容區塊增量如下所示：

```sse Text delta
event: content_block_delta
data: {"type": "content_block_delta","index": 0,"delta": {"type": "text_delta", "text": "ello frien"}}
```

### 輸入 JSON 增量

`tool_use` 內容區塊的增量對應於該區塊 `input` 欄位的更新。為了支援最大的細緻度，這些增量是*部分 JSON 字串*，而最終的 `tool_use.input` 則始終是一個*物件*。

您可以累積字串增量，並在收到 `content_block_stop` 事件後解析 JSON，方法是使用 [Pydantic](https://docs.pydantic.dev/latest/concepts/json/#partial-json-parsing) 之類的函式庫進行部分 JSON 解析，或使用 SDK 的[串流輔助工具](https://platform.claude.com/docs/zh-TW/build-with-claude/streaming#streaming-with-sdks)。在 Python 和 TypeScript SDK 中，這些輔助工具還能讓您在串流過程中以增量方式存取已解析的 `input`。

`tool_use` 內容區塊增量如下所示：

```sse Input JSON delta
event: content_block_delta
data: {"type": "content_block_delta","index": 1,"delta": {"type": "input_json_delta","partial_json": "{\"location\": \"San Fra"}}}
```

注意：目前的模型僅支援一次從 `input` 輸出一個完整的鍵與值屬性。因此，在使用工具時，模型運作期間串流事件之間可能會有延遲。一旦累積完成一組 `input` 鍵與值，它們會以多個帶有分塊部分 JSON 的 `content_block_delta` 事件輸出，以便此格式能在未來的模型中自動支援更細緻的粒度。

### 思考增量

在啟用串流的情況下使用[思考](https://platform.claude.com/docs/zh-TW/build-with-claude/thinking#streaming-thinking)功能時，您會透過 `thinking_delta` 事件接收思考內容。這些增量對應於 `thinking` 內容區塊的 `thinking` 欄位。

對於思考內容，會在 `content_block_stop` 事件之前傳送一個特殊的 `signature_delta` 事件。此簽章用於驗證思考區塊的完整性。

當思考設定中設定了 `display: "omitted"` 時，不會串流任何思考文字。思考區塊會開啟，接收一個 `thinking` 字串為空的 `thinking_delta`，接著接收單一的 `signature_delta`，然後關閉。使用 `display: "updates"`（beta）時，推理區塊會以相同方式串流，只有部分模型在工具呼叫之間撰寫的[進度更新](https://platform.claude.com/docs/zh-TW/build-with-claude/thinking#progress-updates)會串流帶有文字的 `thinking_delta` 事件。請參閱[控制思考顯示](https://platform.claude.com/docs/zh-TW/build-with-claude/thinking#controlling-thinking-display)。

典型的思考增量如下所示：

```sse Thinking delta
event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "I need to find the GCD of 1071 and 462 using the Euclidean algorithm.\n\n1071 = 2 × 462 + 147"}}
```

簽章增量如下所示：

```sse Signature delta
event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "signature_delta", "signature": "EqQBCgIYAhIM1gbcDa9GJwZA2b3hGgxBdjrkzLoky3dl1pkiMOYds..."}}
```

## 完整的 HTTP 串流回應

使用串流模式時，請使用[用戶端 SDK](https://platform.claude.com/docs/zh-TW/cli-sdks-libraries/overview)。不過，如果您正在建構直接的 API 整合，則需要自行處理這些事件。

串流回應由以下部分組成：

1. 一個 `message_start` 事件

2. 可能有多個內容區塊，每個區塊包含：

   * 一個 `content_block_start` 事件
   * 可能有多個 `content_block_delta` 事件
   * 一個 `content_block_stop` 事件

3. 一個或多個 `message_delta` 事件

4. 一個 `message_stop` 事件

回應中也可能穿插著 `ping` 事件。有關格式的更多詳情，請參閱[事件類型](https://platform.claude.com/docs/zh-TW/build-with-claude/streaming#event-types)。

### 基本串流請求

<CodeGroup>
  ```bash cURL
  curl https://api.anthropic.com/v1/messages \
    -H "anthropic-version: 2023-06-01" \
    -H "content-type: application/json" \
    -H "x-api-key: $ANTHROPIC_API_KEY" \
    -d '{
      "model": "claude-opus-5-5",
      "messages": [{"role": "user", "content": "Hello"}],
      "max_tokens": 256,
      "stream": true
    }'
  ```

  ```bash CLI
  ant messages create --stream --format jsonl \
    --model claude-opus-5-5 \
    --max-tokens 256 \
    --message '{role: user, content: Hello}'
  ```

  ```python Python
  client = anthropic.Anthropic()

  with client.messages.stream(
      model="claude-opus-5-5",
      messages=[{"role": "user", "content": "Hello"}],
      max_tokens=256,
  ) as stream:
      for text in stream.text_stream:
          print(text, end="", flush=True)
  ```

  ```typescript TypeScript
  const client = new Anthropic();

  const stream = client.messages.stream({
    model: "claude-opus-5-5",
    messages: [{ role: "user", content: "Hello" }],
    max_tokens: 256
  });

  for await (const event of stream) {
    if (event.type === "content_block_delta" && event.delta.type === "text_delta") {
      process.stdout.write(event.delta.text);
    }
  }
  ```

  ```csharp C#
  AnthropicClient client = new();

  var parameters = new MessageCreateParams
  {
      Model = Model.ClaudeOpus5_5,
      MaxTokens = 256,
      Messages = [new() { Role = Role.User, Content = "Hello" }]
  };

  await foreach (var msg in client.Messages.CreateStreaming(parameters))
  {
      Console.Write(msg);
  }
  ```

  ```go Go
  client := anthropic.NewClient()

  stream := client.Messages.NewStreaming(context.TODO(), anthropic.MessageNewParams{
  	Model:     anthropic.ModelClaudeOpus5_5,
  	MaxTokens: 256,
  	Messages: []anthropic.MessageParam{
  		anthropic.NewUserMessage(anthropic.NewTextBlock("Hello")),
  	},
  })

  for stream.Next() {
  	event := stream.Current()
  	switch eventVariant := event.AsAny().(type) {
  	case anthropic.ContentBlockDeltaEvent:
  		switch deltaVariant := eventVariant.Delta.AsAny().(type) {
  		case anthropic.TextDelta:
  			fmt.Print(deltaVariant.Text)
  		}
  	}
  }
  if err := stream.Err(); err != nil {
  	log.Fatal(err)
  }
  ```

  ```java Java
  AnthropicClient client = AnthropicOkHttpClient.fromEnv();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.CLAUDE_OPUS_5_5)
      .maxTokens(256L)
      .addUserMessage("Hello")
      .build();

  try (var streamResponse = client.messages().createStreaming(params)) {
      streamResponse.stream().forEach(event -> {
          event.contentBlockDelta().ifPresent(deltaEvent ->
              deltaEvent.delta().text().ifPresent(td ->
                  System.out.print(td.text())
              )
          );
      });
  }
  ```

  ```php PHP
  $client = new Client();

  $stream = $client->messages->createStream(
      maxTokens: 256,
      messages: [
          ['role' => 'user', 'content' => 'Hello']
      ],
      model: 'claude-opus-5-5',
  );

  foreach ($stream as $message) {
      echo $message;
  }
  ```

  ```ruby Ruby
  client = Anthropic::Client.new

  stream = client.messages.stream(
    model: "claude-opus-5-5",
    messages: [{ role: "user", content: "Hello" }],
    max_tokens: 256
  )

  stream.text.each { |text| print(text) }
  ```
</CodeGroup>

```sse Response
event: message_start
data: {"type": "message_start", "message": {"id": "msg_1nZdL29xx5MUA1yADyHTEsnR8uuvGzszyY", "type": "message", "role": "assistant", "content": [], "model": "claude-opus-5-5", "stop_reason": null, "stop_sequence": null, "usage": {"input_tokens": 25, "output_tokens": 1}}}

event: content_block_start
data: {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}}

event: ping
data: {"type": "ping"}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "Hello"}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "!"}}

event: content_block_stop
data: {"type": "content_block_stop", "index": 0}

event: message_delta
data: {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence":null}, "usage": {"output_tokens": 15}}

event: message_stop
data: {"type": "message_stop"}

```

### 包含工具使用的串流請求

<Tip>
  工具使用（tool use）支援針對參數值的[細粒度串流](https://platform.claude.com/docs/zh-TW/agents-and-tools/tool-use/fine-grained-tool-streaming)。可透過 `eager_input_streaming` 針對個別工具啟用。
</Tip>

此請求要求 Claude 使用工具回報天氣。

<CodeGroup>
  ```bash cURL
    curl https://api.anthropic.com/v1/messages \
      -H "content-type: application/json" \
      -H "x-api-key: $ANTHROPIC_API_KEY" \
      -H "anthropic-version: 2023-06-01" \
      -d '{
        "model": "claude-opus-5",
        "max_tokens": 1024,
        "tools": [
          {
            "name": "get_weather",
            "description": "Get the current weather in a given location",
            "input_schema": {
              "type": "object",
              "properties": {
                "location": {
                  "type": "string",
                  "description": "The city and state, e.g. San Francisco, CA"
                }
              },
              "required": ["location"]
            }
          }
        ],
        "tool_choice": {"type": "any"},
        "messages": [
          {
            "role": "user",
            "content": "What is the weather like in San Francisco?"
          }
        ],
        "stream": true
      }'
  ```

  ```bash CLI
  ant messages create --stream --format jsonl <<'YAML'
  model: claude-opus-5
  max_tokens: 1024
  tools:
    - name: get_weather
      description: Get the current weather in a given location
      input_schema:
        type: object
        properties:
          location:
            type: string
            description: The city and state, e.g. San Francisco, CA
        required:
          - location
  tool_choice:
    type: any
  messages:
    - role: user
      content: What is the weather like in San Francisco?
  YAML
  ```

  ```python Python
  client = anthropic.Anthropic()

  tools = [
      {
          "name": "get_weather",
          "description": "Get the current weather in a given location",
          "input_schema": {
              "type": "object",
              "properties": {
                  "location": {
                      "type": "string",
                      "description": "The city and state, e.g. San Francisco, CA",
                  }
              },
              "required": ["location"],
          },
      }
  ]

  with client.messages.stream(
      model="claude-opus-5",
      max_tokens=1024,
      tools=tools,
      tool_choice={"type": "any"},
      messages=[
          {"role": "user", "content": "What is the weather like in San Francisco?"}
      ],
  ) as stream:
      for text in stream.text_stream:
          print(text, end="", flush=True)
  ```

  ```typescript TypeScript
  const client = new Anthropic();

  const tools: Anthropic.Tool[] = [
    {
      name: "get_weather",
      description: "Get the current weather in a given location",
      input_schema: {
        type: "object",
        properties: {
          location: {
            type: "string",
            description: "The city and state, e.g. San Francisco, CA"
          }
        },
        required: ["location"]
      }
    }
  ];

  const stream = client.messages.stream({
    model: "claude-opus-5",
    max_tokens: 1024,
    tools: tools,
    tool_choice: { type: "any" },
    messages: [
      {
        role: "user",
        content: "What is the weather like in San Francisco?"
      }
    ]
  });

  for await (const event of stream) {
    if (event.type === "content_block_delta" && event.delta.type === "text_delta") {
      process.stdout.write(event.delta.text);
    }
  }
  ```

  ```csharp C#
  AnthropicClient client = new();

  var parameters = new MessageCreateParams
  {
      Model = Model.ClaudeOpus5,
      MaxTokens = 1024,
      Tools = [
          new ToolUnion(new Tool()
          {
              Name = "get_weather",
              Description = "Get the current weather in a given location",
              InputSchema = new InputSchema()
              {
                  Properties = new Dictionary<string, JsonElement>
                  {
                      ["location"] = JsonSerializer.SerializeToElement(new { type = "string", description = "The city and state, e.g. San Francisco, CA" }),
                  },
                  Required = ["location"],
              },
          }),
      ],
      ToolChoice = new ToolChoiceAny(),
      Messages = [
          new() { Role = Role.User, Content = "What is the weather like in San Francisco?" }
      ]
  };

  await foreach (var msg in client.Messages.CreateStreaming(parameters))
  {
      Console.Write(msg);
  }
  ```

  ```go Go
  client := anthropic.NewClient()

  stream := client.Messages.NewStreaming(context.TODO(), anthropic.MessageNewParams{
  	Model:     anthropic.ModelClaudeOpus5,
  	MaxTokens: 1024,
  	Tools: []anthropic.ToolUnionParam{
  		{OfTool: &anthropic.ToolParam{
  			Name:        "get_weather",
  			Description: anthropic.String("Get the current weather in a given location"),
  			InputSchema: anthropic.ToolInputSchemaParam{
  				Properties: map[string]any{
  					"location": map[string]any{
  						"type":        "string",
  						"description": "The city and state, e.g. San Francisco, CA",
  					},
  				},
  				Required: []string{"location"},
  			},
  		}},
  	},
  	ToolChoice: anthropic.ToolChoiceUnionParam{OfAny: &anthropic.ToolChoiceAnyParam{}},
  	Messages: []anthropic.MessageParam{
  		anthropic.NewUserMessage(anthropic.NewTextBlock("What is the weather like in San Francisco?")),
  	},
  })

  for stream.Next() {
  	event := stream.Current()
  	switch eventVariant := event.AsAny().(type) {
  	case anthropic.ContentBlockDeltaEvent:
  		switch deltaVariant := eventVariant.Delta.AsAny().(type) {
  		case anthropic.TextDelta:
  			fmt.Print(deltaVariant.Text)
  		}
  	}
  }
  if err := stream.Err(); err != nil {
  	log.Fatal(err)
  }
  ```

  ```java Java
  AnthropicClient client = AnthropicOkHttpClient.fromEnv();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.CLAUDE_OPUS_5)
      .maxTokens(1024L)
      .addTool(Tool.builder()
          .name("get_weather")
          .description("Get the current weather in a given location")
          .inputSchema(Tool.InputSchema.builder()
              .properties(JsonValue.from(Map.of(
                  "location", Map.of(
                      "type", "string",
                      "description", "The city and state, e.g. San Francisco, CA"
                  )
              )))
              .putAdditionalProperty("required", JsonValue.from(List.of("location")))
              .build())
          .build())
      .toolChoice(ToolChoice.ofAny(ToolChoiceAny.builder().build()))
      .addUserMessage("What is the weather like in San Francisco?")
      .build();

  try (var streamResponse = client.messages().createStreaming(params)) {
      streamResponse.stream().forEach(event -> {
          event.contentBlockDelta().ifPresent(deltaEvent ->
              deltaEvent.delta().text().ifPresent(td ->
                  System.out.print(td.text())
              )
          );
      });
  }
  ```

  ```php PHP
  $client = new Client();

  $stream = $client->messages->createStream(
      maxTokens: 1024,
      messages: [
          ['role' => 'user', 'content' => 'What is the weather like in San Francisco?']
      ],
      model: 'claude-opus-5',
      toolChoice: ['type' => 'any'],
      tools: [
          [
              'name' => 'get_weather',
              'description' => 'Get the current weather in a given location',
              'input_schema' => [
                  'type' => 'object',
                  'properties' => [
                      'location' => [
                          'type' => 'string',
                          'description' => 'The city and state, e.g. San Francisco, CA'
                      ]
                  ],
                  'required' => ['location']
              ]
          ]
      ],
  );

  foreach ($stream as $message) {
      echo $message;
  }
  ```

  ```ruby Ruby
  client = Anthropic::Client.new

  tools = [
    {
      name: "get_weather",
      description: "Get the current weather in a given location",
      input_schema: {
        type: "object",
        properties: {
          location: {
            type: "string",
            description: "The city and state, e.g. San Francisco, CA"
          }
        },
        required: ["location"]
      }
    }
  ]

  stream = client.messages.stream(
    model: "claude-opus-5",
    max_tokens: 1024,
    tools: tools,
    tool_choice: { type: "any" },
    messages: [
      { role: "user", content: "What is the weather like in San Francisco?" }
    ]
  )

  stream.text.each { |text| print(text) }
  ```
</CodeGroup>

```sse Response
event: message_start
data: {"type":"message_start","message":{"id":"msg_014p7gG3wDgGV9EUtLvnow3U","type":"message","role":"assistant","model":"claude-opus-5","stop_sequence":null,"usage":{"input_tokens":472,"output_tokens":2},"content":[],"stop_reason":null}}

event: content_block_start
data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}

event: ping
data: {"type": "ping"}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Okay"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":","}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" let"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"'s"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" check"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" the"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" weather"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" for"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" San"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" Francisco"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":","}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" CA"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":":"}}

event: content_block_stop
data: {"type":"content_block_stop","index":0}

event: content_block_start
data: {"type":"content_block_start","index":1,"content_block":{"type":"tool_use","id":"toolu_01T1x1fJ34qAmk2tNTrN7Up6","name":"get_weather","input":{}}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":""}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"{\"location\":"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" \"San"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" Francisc"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"o,"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" CA\"}"}}

event: content_block_stop
data: {"type":"content_block_stop","index":1}

event: message_delta
data: {"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"output_tokens":89}}

event: message_stop
data: {"type":"message_stop"}
```

### 包含思考的串流請求

此請求在串流中啟用思考功能。`display: "summarized"` 設定會串流 Claude 推理的精簡摘要，而非完整的思考鏈。

<CodeGroup>
  ```bash cURL
  curl https://api.anthropic.com/v1/messages \
    -H "x-api-key: $ANTHROPIC_API_KEY" \
    -H "anthropic-version: 2023-06-01" \
    -H "content-type: application/json" \
    -d '{
      "model": "claude-opus-5-5",
      "max_tokens": 20000,
      "stream": true,
      "thinking": {
        "type": "adaptive",
        "display": "summarized"
      },
      "messages": [
        {
          "role": "user",
          "content": "What is the greatest common divisor of 1071 and 462?"
        }
      ]
    }'
  ```

  ```bash CLI
  ant messages create --stream --format jsonl \
    --model claude-opus-5-5 \
    --max-tokens 20000 \
    --thinking '{type: adaptive, display: summarized}' \
    --message '{role: user, content: What is the greatest common divisor of 1071 and 462?}'
  ```

  ```python Python
  client = anthropic.Anthropic()

  with client.messages.stream(
      model="claude-opus-5-5",
      max_tokens=20000,
      thinking={"type": "adaptive", "display": "summarized"},
      messages=[
          {
              "role": "user",
              "content": "What is the greatest common divisor of 1071 and 462?",
          }
      ],
  ) as stream:
      for event in stream:
          if event.type == "content_block_delta":
              delta = event.delta
              match delta.type:
                  case "thinking_delta":
                      print(delta.thinking, end="", flush=True)
                  case "text_delta":
                      print(delta.text, end="", flush=True)
  ```

  ```typescript TypeScript
  const client = new Anthropic();

  const stream = client.messages.stream({
    model: "claude-opus-5-5",
    max_tokens: 20000,
    thinking: { type: "adaptive", display: "summarized" },
    messages: [
      {
        role: "user",
        content: "What is the greatest common divisor of 1071 and 462?"
      }
    ]
  });

  for await (const event of stream) {
    if (event.type === "content_block_delta") {
      switch (event.delta.type) {
        case "thinking_delta":
          process.stdout.write(event.delta.thinking);
          break;
        case "text_delta":
          process.stdout.write(event.delta.text);
          break;
      }
    }
  }
  ```

  ```csharp C#
  using Anthropic;
  using Anthropic.Models.Messages;

  AnthropicClient client = new();

  var parameters = new MessageCreateParams
  {
      Model = Model.ClaudeOpus5_5,
      MaxTokens = 20000,
      Thinking = new ThinkingConfigAdaptive { Display = Display.Summarized },
      Messages = [new() { Role = Role.User, Content = "What is the greatest common divisor of 1071 and 462?" }]
  };

  await foreach (var msg in client.Messages.CreateStreaming(parameters))
  {
      Console.Write(msg);
  }
  ```

  ```go Go
  client := anthropic.NewClient()

  stream := client.Messages.NewStreaming(context.TODO(), anthropic.MessageNewParams{
  	Model:     anthropic.ModelClaudeOpus5_5,
  	MaxTokens: 20000,
  	Thinking: anthropic.ThinkingConfigParamUnion{
  		OfAdaptive: &anthropic.ThinkingConfigAdaptiveParam{
  			Display: anthropic.ThinkingConfigAdaptiveDisplaySummarized,
  		},
  	},
  	Messages: []anthropic.MessageParam{
  		anthropic.NewUserMessage(anthropic.NewTextBlock("What is the greatest common divisor of 1071 and 462?")),
  	},
  })

  for stream.Next() {
  	event := stream.Current()
  	switch eventVariant := event.AsAny().(type) {
  	case anthropic.ContentBlockDeltaEvent:
  		switch deltaVariant := eventVariant.Delta.AsAny().(type) {
  		case anthropic.ThinkingDelta:
  			fmt.Print(deltaVariant.Thinking)
  		case anthropic.TextDelta:
  			fmt.Print(deltaVariant.Text)
  		}
  	}
  }
  if err := stream.Err(); err != nil {
  	log.Fatal(err)
  }
  ```

  ```java Java
  AnthropicClient client = AnthropicOkHttpClient.fromEnv();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.CLAUDE_OPUS_5_5)
      .maxTokens(20000L)
      .thinking(ThinkingConfigAdaptive.builder()
          .display(ThinkingConfigAdaptive.Display.SUMMARIZED)
          .build())
      .addUserMessage("What is the greatest common divisor of 1071 and 462?")
      .build();

  try (var streamResponse = client.messages().createStreaming(params)) {
      streamResponse.stream().forEach(event -> {
          event.contentBlockDelta().ifPresent(deltaEvent -> {
              deltaEvent.delta().thinking().ifPresent(td ->
                  IO.print(td.thinking())
              );
              deltaEvent.delta().text().ifPresent(td ->
                  IO.print(td.text())
              );
          });
      });
  }
  ```

  ```php PHP
  $client = new Client();

  $stream = $client->messages->createStream(
      maxTokens: 20000,
      messages: [
          ['role' => 'user', 'content' => 'What is the greatest common divisor of 1071 and 462?']
      ],
      model: 'claude-opus-5-5',
      thinking: ['type' => 'adaptive', 'display' => 'summarized'],
  );

  foreach ($stream as $message) {
      echo $message;
  }
  ```

  ```ruby Ruby
  client = Anthropic::Client.new

  stream = client.messages.stream(
    model: "claude-opus-5-5",
    max_tokens: 20000,
    thinking: { type: "adaptive", display: "summarized" },
    messages: [
      { role: "user", content: "What is the greatest common divisor of 1071 and 462?" }
    ]
  )

  stream.each do |event|
    if event.is_a?(Anthropic::Models::RawContentBlockDeltaEvent)
      delta = event.delta
      case delta
      when Anthropic::Models::ThinkingDelta
        print(delta.thinking)
      when Anthropic::Models::TextDelta
        print(delta.text)
      end
    end
  end
  ```
</CodeGroup>

```sse Response
event: message_start
data: {"type": "message_start", "message": {"id": "msg_01...", "type": "message", "role": "assistant", "content": [], "model": "claude-opus-5-5", "stop_reason": null, "stop_sequence": null}}

event: content_block_start
data: {"type": "content_block_start", "index": 0, "content_block": {"type": "thinking", "thinking": "", "signature": ""}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "I need to find the GCD of 1071 and 462 using the Euclidean algorithm.\n\n1071 = 2 × 462 + 147"}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n462 = 3 × 147 + 21"}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n147 = 7 × 21 + 0"}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\nThe remainder is 0, so GCD(1071, 462) = 21."}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "signature_delta", "signature": "EqQBCgIYAhIM1gbcDa9GJwZA2b3hGgxBdjrkzLoky3dl1pkiMOYds..."}}

event: content_block_stop
data: {"type": "content_block_stop", "index": 0}

event: content_block_start
data: {"type": "content_block_start", "index": 1, "content_block": {"type": "text", "text": ""}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 1, "delta": {"type": "text_delta", "text": "The greatest common divisor of 1071 and 462 is **21**."}}

event: content_block_stop
data: {"type": "content_block_stop", "index": 1}

event: message_delta
data: {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence": null}}

event: message_stop
data: {"type": "message_stop"}
```

### 包含網頁搜尋工具使用的串流請求

此請求要求 Claude 在網路上搜尋目前的天氣資訊。

<CodeGroup>
  ```bash cURL
  curl https://api.anthropic.com/v1/messages \
    -H "x-api-key: $ANTHROPIC_API_KEY" \
    -H "anthropic-version: 2023-06-01" \
    -H "content-type: application/json" \
    -d '{
      "model": "claude-opus-5-5",
      "max_tokens": 1024,
      "stream": true,
      "tools": [
        {
          "type": "web_search_20250305",
          "name": "web_search",
          "max_uses": 5
        }
      ],
      "messages": [
        {
          "role": "user",
          "content": "What is the weather like in New York City today?"
        }
      ]
    }'
  ```

  ```bash CLI
  ant messages create --stream --format jsonl \
    --model claude-opus-5-5 \
    --max-tokens 1024 \
    --tool '{type: web_search_20250305, name: web_search, max_uses: 5}' \
    --message '{role: user, content: What is the weather like in New York City today?}'
  ```

  ```python Python
  client = anthropic.Anthropic()

  with client.messages.stream(
      model="claude-opus-5-5",
      max_tokens=1024,
      tools=[{"type": "web_search_20250305", "name": "web_search", "max_uses": 5}],
      messages=[
          {"role": "user", "content": "What is the weather like in New York City today?"}
      ],
  ) as stream:
      for text in stream.text_stream:
          print(text, end="", flush=True)
  ```

  ```typescript TypeScript
  const client = new Anthropic();

  const stream = client.messages.stream({
    model: "claude-opus-5-5",
    max_tokens: 1024,
    tools: [{ type: "web_search_20250305", name: "web_search", max_uses: 5 }],
    messages: [{ role: "user", content: "What is the weather like in New York City today?" }]
  });

  for await (const event of stream) {
    if (event.type === "content_block_delta" && event.delta.type === "text_delta") {
      process.stdout.write(event.delta.text);
    }
  }
  ```

  ```csharp C#
  using Anthropic;
  using Anthropic.Models.Messages;

  AnthropicClient client = new();

  var parameters = new MessageCreateParams
  {
      Model = Model.ClaudeOpus5_5,
      MaxTokens = 1024,
      Tools = [new ToolUnion(new WebSearchTool20250305() { MaxUses = 5 })],
      Messages = [new() { Role = Role.User, Content = "What is the weather like in New York City today?" }]
  };

  await foreach (var msg in client.Messages.CreateStreaming(parameters))
  {
      Console.Write(msg);
  }
  ```

  ```go Go
  client := anthropic.NewClient()

  stream := client.Messages.NewStreaming(context.TODO(), anthropic.MessageNewParams{
  	Model:     anthropic.ModelClaudeOpus5_5,
  	MaxTokens: 1024,
  	Tools: []anthropic.ToolUnionParam{
  		{
  			OfWebSearchTool20250305: &anthropic.WebSearchTool20250305Param{
  				MaxUses: anthropic.Int(5),
  			},
  		},
  	},
  	Messages: []anthropic.MessageParam{
  		anthropic.NewUserMessage(anthropic.NewTextBlock("What is the weather like in New York City today?")),
  	},
  })

  for stream.Next() {
  	event := stream.Current()
  	switch eventVariant := event.AsAny().(type) {
  	case anthropic.ContentBlockDeltaEvent:
  		switch deltaVariant := eventVariant.Delta.AsAny().(type) {
  		case anthropic.TextDelta:
  			fmt.Print(deltaVariant.Text)
  		}
  	}
  }
  if err := stream.Err(); err != nil {
  	log.Fatal(err)
  }
  ```

  ```java Java
  AnthropicClient client = AnthropicOkHttpClient.fromEnv();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.CLAUDE_OPUS_5_5)
      .maxTokens(1024L)
      .addTool(WebSearchTool20250305.builder()
          .maxUses(5L)
          .build())
      .addUserMessage("What is the weather like in New York City today?")
      .build();

  try (var streamResponse = client.messages().createStreaming(params)) {
      streamResponse.stream().forEach(event -> {
          event.contentBlockDelta().ifPresent(deltaEvent ->
              deltaEvent.delta().text().ifPresent(td ->
                  System.out.print(td.text())
              )
          );
      });
  }
  ```

  ```php PHP
  $client = new Client();

  $stream = $client->messages->createStream(
      maxTokens: 1024,
      messages: [
          ['role' => 'user', 'content' => 'What is the weather like in New York City today?']
      ],
      model: 'claude-opus-5-5',
      tools: [
          ['type' => 'web_search_20250305', 'name' => 'web_search', 'max_uses' => 5]
      ],
  );

  foreach ($stream as $message) {
      echo $message;
  }
  ```

  ```ruby Ruby
  client = Anthropic::Client.new

  stream = client.messages.stream(
    model: :"claude-opus-5-5",
    max_tokens: 1024,
    tools: [
      {
        type: "web_search_20250305",
        name: "web_search",
        max_uses: 5
      }
    ],
    messages: [
      {
        role: "user",
        content: "What is the weather like in New York City today?"
      }
    ]
  )

  stream.text.each { |text| print(text) }
  ```
</CodeGroup>

```sse Response
event: message_start
data: {"type":"message_start","message":{"id":"msg_01G...","type":"message","role":"assistant","model":"claude-opus-5-5","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2679,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":3}}}

event: content_block_start
data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"I'll check"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" the current weather in New York City for you"}}

event: ping
data: {"type": "ping"}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}

event: content_block_stop
data: {"type":"content_block_stop","index":0}

event: content_block_start
data: {"type":"content_block_start","index":1,"content_block":{"type":"server_tool_use","id":"srvtoolu_014hJH82Qum7Td6UV8gDXThB","name":"web_search","input":{}}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":""}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"{\"query"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"\":"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" \"weather"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" NY"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"C to"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"day\"}"}}

event: content_block_stop
data: {"type":"content_block_stop","index":1 }

event: content_block_start
data: {"type":"content_block_start","index":2,"content_block":{"type":"web_search_tool_result","tool_use_id":"srvtoolu_014hJH82Qum7Td6UV8gDXThB","content":[{"type":"web_search_result","title":"Weather in New York City in May 2025 (New York) - detailed Weather Forecast for a month","url":"https://world-weather.info/forecast/usa/new_york/may-2025/","encrypted_content":"Ev0DCioIAxgCIiQ3NmU4ZmI4OC1k...","page_age":null},...]}}

event: content_block_stop
data: {"type":"content_block_stop","index":2}

event: content_block_start
data: {"type":"content_block_start","index":3,"content_block":{"type":"text","text":""}}

event: content_block_delta
data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":"Here's the current weather information for New York"}}

event: content_block_delta
data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":" City:\n\n# Weather"}}

event: content_block_delta
data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":" in New York City"}}

event: content_block_delta
data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":"\n\n"}}

...

event: content_block_stop
data: {"type":"content_block_stop","index":17}

event: message_delta
data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":10682,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":510,"server_tool_use":{"web_search_requests":1}}}

event: message_stop
data: {"type":"message_stop"}
```

## 錯誤復原

### Claude 4.5 及更早版本

對於 Claude 4.5 及更早的模型，若串流請求因網路問題、逾時或其他錯誤而中斷，您可以從串流中斷處繼續，以復原該請求。此方法可讓您免於重新處理整個回應。

基本的復原策略包括：

1. **擷取部分回應：**&#x5132;存在錯誤發生前已成功接收的所有內容。
2. **建構接續請求：**&#x5EFA;立一個新的 API 請求，將部分的 assistant 回應作為新 assistant 訊息的開頭。
3. **繼續串流：**&#x5F9E;中斷處繼續接收回應的其餘部分。

### Claude 4.6 及更新版本

對於 Claude 4.6 及更新的模型，同樣適用擷取並繼續的策略，但步驟 2 有所不同：不是將部分回應放入 assistant 訊息中，而是新增一則 user 訊息，指示模型從中斷處繼續。

1. **擷取部分回應：**&#x5132;存在錯誤發生前已成功接收的所有內容。
2. **建構接續請求：**&#x5EFA;立一個新的 API 請求，其中包含一則 user 訊息，內含部分回應以及繼續的指示，例如：
   ```text Sample prompt wrap
   Your previous response was interrupted and ended with [previous_response]. Continue from where you left off.
   ```
3. **繼續串流：**&#x5F9E;中斷處繼續接收回應的其餘部分。

### 錯誤復原最佳實務

1. **使用 SDK 功能：**&#x5584;用 SDK 內建的訊息累積與錯誤處理能力。
2. **處理內容類型：** 請注意，訊息可能包含多個內容區塊（`text`、`tool_use`、`thinking`）。工具使用和思考區塊無法部分復原。您可以從最近的文字區塊繼續串流。

## 後續步驟

<CardGroup cols={2}>
  <Card title="停止原因與回退" icon="list" href="https://platform.claude.com/docs/zh-TW/build-with-claude/handling-stop-reasons">
    在串流完成後處理每個 `stop_reason` 值。
  </Card>

  <Card title="細粒度工具串流" icon="wrench" href="https://platform.claude.com/docs/zh-TW/agents-and-tools/tool-use/fine-grained-tool-streaming">
    無需伺服器端緩衝即可串流工具輸入 JSON，以降低延遲。
  </Card>

  <Card title="思考" icon="brain" href="https://platform.claude.com/docs/zh-TW/build-with-claude/thinking">
    透過 `thinking_delta` 與 `signature_delta` 事件串流思考輸出。
  </Card>

  <Card title="用戶端 SDK" icon="code" href="https://platform.claude.com/docs/zh-TW/cli-sdks-libraries/overview">
    使用官方 SDK，它們會為您處理串流、累積與重新連線。
  </Card>

  <Card title="批次處理" icon="stack" href="https://platform.claude.com/docs/zh-TW/build-with-claude/batch-processing">
    當您不需要即時回應時，以非同步方式處理大量請求。
  </Card>
</CardGroup>