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    第一步

    Claude 介紹快速入門

    模型與定價

    模型概覽選擇模型Claude 4.5 的新功能遷移到 Claude 4.5模型棄用定價

    使用 Claude 建構

    功能概覽使用 Messages API上下文視窗提示詞最佳實踐

    功能

    提示詞快取上下文編輯延伸思考串流訊息批次處理引用多語言支援Token 計數嵌入向量視覺PDF 支援Files API搜尋結果Google Sheets 附加元件

    工具

    概述如何實現工具使用代幣高效工具使用細粒度工具串流Bash 工具代碼執行工具電腦使用工具文字編輯工具網頁擷取工具網路搜尋工具記憶工具

    代理技能

    概述在 API 中開始使用 Agent Skills技能編寫最佳實踐使用 Agent Skills 與 API

    Agent SDK

    概述Agent SDK 參考 - TypeScriptPython SDK

    指南

    串流輸入處理權限會話管理託管 Agent SDK修改系統提示SDK 中的 MCP自訂工具SDK 中的子代理SDK 中的斜線命令SDK 中的代理技能追蹤成本和使用量待辦事項清單SDK 中的外掛程式

    API 中的 MCP

    MCP 連接器遠端 MCP 伺服器

    Claude 在第三方平台上

    Amazon BedrockVertex AI

    提示工程

    概述提示詞生成器使用提示模板提示詞改進器保持清晰和直接使用範例(多樣提示)讓 Claude 思考(思維鏈)使用 XML 標籤給 Claude 分配角色(系統提示詞)預填 Claude 的回應串接複雜提示長文本技巧延伸思考技巧

    測試與評估

    定義成功標準開發測試案例使用評估工具降低延遲

    加強防護措施

    減少幻覺提高輸出一致性防範越獄handle-streaming-refusals減少提示詞洩漏保持 Claude 的角色特性

    管理和監控

    Admin API 概述使用量和成本 APIClaude Code 分析 API
    Console
    工具

    代幣高效工具使用

    從 Claude Sonnet 3.7 開始,Claude 能夠以代幣高效的方式呼叫工具。請求平均節省 14% 的輸出代幣,最高可達 70%,這也降低了延遲。確切的代幣減少量和延遲改進取決於整體回應形狀和大小。

    代幣高效工具使用是一項測試版功能,僅適用於 Claude 3.7 Sonnet。要使用此測試版功能,請在工具使用請求中新增測試版標頭 token-efficient-tools-2025-02-19。此標頭對其他 Claude 模型沒有影響。

    所有 Claude 4 模型 預設支援代幣高效工具使用。不需要測試版標頭。

    代幣高效工具使用目前不適用於 disable_parallel_tool_use。

    以下是如何在 Claude Sonnet 3.7 中使用 API 的代幣高效工具的範例:

    Shell
    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" \
      -H "anthropic-beta: token-efficient-tools-2025-02-19" \
      -d '{
        "model": "claude-3-7-sonnet-20250219",
        "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"
              ]
            }
          }
        ],
        "messages": [
          {
            "role": "user",
            "content": "Tell me the weather in San Francisco."
          }
        ]
      }' | jq '.usage'
    Python
    import anthropic
    
    client = anthropic.Anthropic()
    
    response = client.beta.messages.create(
        max_tokens=1024,
        model="claude-3-7-sonnet-20250219",
        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"
            ]
          }
        }],
        messages=[{
          "role": "user",
          "content": "Tell me the weather in San Francisco."
        }],
        betas=["token-efficient-tools-2025-02-19"]
    )
    
    print(response.usage)
    TypeScript
    import Anthropic from '@anthropic-ai/sdk';
    
    const anthropic = new Anthropic();
    
    const message = await anthropic.beta.messages.create({
      model: "claude-3-7-sonnet-20250219",
      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"]
        }
      }],
      messages: [{ 
        role: "user", 
        content: "Tell me the weather in San Francisco." 
      }],
      betas: ["token-efficient-tools-2025-02-19"]
    });
    
    console.log(message.usage);
    Java
    import java.util.List;
    import java.util.Map;
    
    import com.anthropic.client.AnthropicClient;
    import com.anthropic.client.okhttp.AnthropicOkHttpClient;
    import com.anthropic.core.JsonValue;
    import com.anthropic.models.beta.messages.BetaMessage;
    import com.anthropic.models.beta.messages.BetaTool;
    import com.anthropic.models.beta.messages.MessageCreateParams;
    
    import static com.anthropic.models.beta.AnthropicBeta.TOKEN_EFFICIENT_TOOLS_2025_02_19;
    
    public class TokenEfficientToolsExample {
    
        public static void main(String[] args) {
            AnthropicClient client = AnthropicOkHttpClient.fromEnv();
    
            BetaTool.InputSchema schema = BetaTool.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();
    
            MessageCreateParams params = MessageCreateParams.builder()
                    .model("claude-3-7-sonnet-20250219")
                    .maxTokens(1024)
                    .betas(List.of(TOKEN_EFFICIENT_TOOLS_2025_02_19))
                    .addTool(BetaTool.builder()
                            .name("get_weather")
                            .description("Get the current weather in a given location")
                            .inputSchema(schema)
                            .build())
                    .addUserMessage("Tell me the weather in San Francisco.")
                    .build();
    
            BetaMessage message = client.beta().messages().create(params);
            System.out.println(message.usage());
        }
    }

    上述請求平均應該使用比正常請求更少的輸入和輸出代幣。要確認這一點,請嘗試發出相同的請求,但從測試版標頭列表中移除 token-efficient-tools-2025-02-19。

    為了保持提示快取的優勢,請對您想要快取的請求一致地使用測試版標頭。如果您選擇性地使用它,提示快取將失敗。

      © 2025 ANTHROPIC PBC

      Products

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      Help and security

      • Availability
      • Status
      • Support center

      Terms and policies

      • Privacy policy
      • Responsible disclosure policy
      • Terms of service: Commercial
      • Terms of service: Consumer
      • Usage policy

      Products

      • Claude
      • Claude Code
      • Max plan
      • Team plan
      • Enterprise plan
      • Download app
      • Pricing
      • Log in

      Features

      • Claude and Slack
      • Claude in Excel

      Models

      • Opus
      • Sonnet
      • Haiku

      Solutions

      • AI agents
      • Code modernization
      • Coding
      • Customer support
      • Education
      • Financial services
      • Government
      • Life sciences

      Claude Developer Platform

      • Overview
      • Developer docs
      • Pricing
      • Amazon Bedrock
      • Google Cloud’s Vertex AI
      • Console login

      Learn

      • Blog
      • Catalog
      • Courses
      • Use cases
      • Connectors
      • Customer stories
      • Engineering at Anthropic
      • Events
      • Powered by Claude
      • Service partners
      • Startups program

      Company

      • Anthropic
      • Careers
      • Economic Futures
      • Research
      • News
      • Responsible Scaling Policy
      • Security and compliance
      • Transparency

      Help and security

      • Availability
      • Status
      • Support center

      Terms and policies

      • Privacy policy
      • Responsible disclosure policy
      • Terms of service: Commercial
      • Terms of service: Consumer
      • Usage policy
      © 2025 ANTHROPIC PBC