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    入门
    Claude 简介快速开始
    模型与定价
    模型概览选择模型Claude 4.6 新特性迁移指南模型弃用定价
    使用 Claude 构建
    功能概览使用 Messages API处理停止原因提示词最佳实践
    上下文管理
    上下文窗口压缩上下文编辑
    能力
    提示缓存扩展思考自适应思考推理力度流式消息批量处理引用多语言支持Token 计数嵌入视觉PDF 支持Files API搜索结果结构化输出
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    概览如何实现工具使用细粒度工具流式传输Bash 工具代码执行工具程序化工具调用计算机使用工具文本编辑器工具网页抓取工具网页搜索工具记忆工具工具搜索工具
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    概览快速开始最佳实践企业级 Skills通过 API 使用 Skills
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    概览快速开始TypeScript SDKTypeScript V2(预览版)Python SDK迁移指南
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    第三方平台上的 Claude
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    提示工程
    概览提示词生成器使用提示词模板提示词优化器清晰直接使用示例(多样本提示)让 Claude 思考(思维链)使用 XML 标签赋予 Claude 角色(系统提示词)链式复杂提示长上下文技巧扩展思考技巧
    测试与评估
    定义成功标准开发测试用例使用评估工具降低延迟
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    减少幻觉提高输出一致性防范越狱攻击流式拒绝减少提示词泄露保持 Claude 角色设定
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    使用 Claude 构建

    使用 Messages API

    使用 Messages API 的实用模式和示例

    本指南涵盖了使用 Messages API 的常见模式,包括基本请求、多轮对话、预填充技术和视觉功能。有关完整的 API 规范,请参阅 Messages API 参考。

    基本请求和响应

    #!/bin/sh
    curl https://api.anthropic.com/v1/messages \
         --header "x-api-key: $ANTHROPIC_API_KEY" \
         --header "anthropic-version: 2023-06-01" \
         --header "content-type: application/json" \
         --data \
    '{
        "model": "claude-opus-4-6",
        "max_tokens": 1024,
        "messages": [
            {"role": "user", "content": "Hello, Claude"}
        ]
    }'
    JSON
    {
      "id": "msg_01XFDUDYJgAACzvnptvVoYEL",
      "type": "message",
      "role": "assistant",
      "content": [
        {
          "type": "text",
          "text": "Hello!"
        }
      ],
      "model": "claude-opus-4-6",
      "stop_reason": "end_turn",
      "stop_sequence": null,
      "usage": {
        "input_tokens": 12,
        "output_tokens": 6
      }
    }

    多轮对话

    Messages API 是无状态的,这意味着您始终需要将完整的对话历史发送给 API。您可以使用此模式随时间构建对话。早期的对话轮次不一定需要实际来自 Claude — 您可以使用合成的 assistant 消息。

    #!/bin/sh
    curl https://api.anthropic.com/v1/messages \
         --header "x-api-key: $ANTHROPIC_API_KEY" \
         --header "anthropic-version: 2023-06-01" \
         --header "content-type: application/json" \
         --data \
    '{
        "model": "claude-opus-4-6",
        "max_tokens": 1024,
        "messages": [
            {"role": "user", "content": "Hello, Claude"},
            {"role": "assistant", "content": "Hello!"},
            {"role": "user", "content": "Can you describe LLMs to me?"}
    
        ]
    }'
    JSON
    {
        "id": "msg_018gCsTGsXkYJVqYPxTgDHBU",
        "type": "message",
        "role": "assistant",
        "content": [
            {
                "type": "text",
                "text": "Sure, I'd be happy to provide..."
            }
        ],
        "stop_reason": "end_turn",
        "stop_sequence": null,
        "usage": {
          "input_tokens": 30,
          "output_tokens": 309
        }
    }

    预填充 Claude 的回复

    您可以在输入消息列表的最后位置预填充 Claude 回复的一部分。这可以用来塑造 Claude 的响应。下面的示例使用 "max_tokens": 1 从 Claude 获取单个多选题答案。

    #!/bin/sh
    curl https://api.anthropic.com/v1/messages \
         --header "x-api-key: $ANTHROPIC_API_KEY" \
         --header "anthropic-version: 2023-06-01" \
         --header "content-type: application/json" \
         --data \
    '{
        "model": "claude-opus-4-6",
        "max_tokens": 1,
        "messages": [
            {"role": "user", "content": "What is latin for Ant? (A) Apoidea, (B) Rhopalocera, (C) Formicidae"},
            {"role": "assistant", "content": "The answer is ("}
        ]
    }'
    JSON
    {
      "id": "msg_01Q8Faay6S7QPTvEUUQARt7h",
      "type": "message",
      "role": "assistant",
      "content": [
        {
          "type": "text",
          "text": "C"
        }
      ],
      "model": "claude-opus-4-6",
      "stop_reason": "max_tokens",
      "stop_sequence": null,
      "usage": {
        "input_tokens": 42,
        "output_tokens": 1
      }
    }

    预填充已被弃用,在 Claude Opus 4.6 和 Claude Sonnet 4.5 上不受支持。请改用结构化输出或系统提示指令。

    视觉

    Claude 可以在请求中读取文本和图像。我们支持图像的 base64 和 url 两种来源类型,以及 image/jpeg、image/png、image/gif 和 image/webp 媒体类型。有关更多详细信息,请参阅我们的视觉指南。

    #!/bin/sh
    
    # Option 1: Base64-encoded image
    IMAGE_URL="https://upload.wikimedia.org/wikipedia/commons/a/a7/Camponotus_flavomarginatus_ant.jpg"
    IMAGE_MEDIA_TYPE="image/jpeg"
    IMAGE_BASE64=$(curl "$IMAGE_URL" | base64)
    
    curl https://api.anthropic.com/v1/messages \
         --header "x-api-key: $ANTHROPIC_API_KEY" \
         --header "anthropic-version: 2023-06-01" \
         --header "content-type: application/json" \
         --data \
    '{
        "model": "claude-opus-4-6",
        "max_tokens": 1024,
        "messages": [
            {"role": "user", "content": [
                {"type": "image", "source": {
                    "type": "base64",
                    "media_type": "'$IMAGE_MEDIA_TYPE'",
                    "data": "'$IMAGE_BASE64'"
                }},
                {"type": "text", "text": "What is in the above image?"}
            ]}
        ]
    }'
    
    # Option 2: URL-referenced image
    curl https://api.anthropic.com/v1/messages \
         --header "x-api-key: $ANTHROPIC_API_KEY" \
         --header "anthropic-version: 2023-06-01" \
         --header "content-type: application/json" \
         --data \
    '{
        "model": "claude-opus-4-6",
        "max_tokens": 1024,
        "messages": [
            {"role": "user", "content": [
                {"type": "image", "source": {
                    "type": "url",
                    "url": "https://upload.wikimedia.org/wikipedia/commons/a/a7/Camponotus_flavomarginatus_ant.jpg"
                }},
                {"type": "text", "text": "What is in the above image?"}
            ]}
        ]
    }'
    JSON
    {
      "id": "msg_01EcyWo6m4hyW8KHs2y2pei5",
      "type": "message",
      "role": "assistant",
      "content": [
        {
          "type": "text",
          "text": "This image shows an ant, specifically a close-up view of an ant. The ant is shown in detail, with its distinct head, antennae, and legs clearly visible. The image is focused on capturing the intricate details and features of the ant, likely taken with a macro lens to get an extreme close-up perspective."
        }
      ],
      "model": "claude-opus-4-6",
      "stop_reason": "end_turn",
      "stop_sequence": null,
      "usage": {
        "input_tokens": 1551,
        "output_tokens": 71
      }
    }

    工具使用和计算机使用

    请参阅我们的指南了解如何在 Messages API 中使用工具的示例。 请参阅我们的计算机使用指南了解如何使用 Messages API 控制桌面计算机环境的示例。 如需保证 JSON 输出,请参阅结构化输出。

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    • 预填充 Claude 的回复