apinebula.ai

响应字段与官方 Messages API 规范一致

{
  "status": 200,
  "id": "msg_01vQ0YdydEc3V0RW7QpiWOv9",
  "model": "claude-sonnet-5",
  "stop_reason": "end_turn",
  "usage": {
    "input_tokens": 40,
    "cache_creation_input_tokens": 0,
    "cache_read_input_tokens": 0,
    "cache_creation": {
      "ephemeral_5m_input_tokens": 0,
      "ephemeral_1h_input_tokens": 0
    },
    "output_tokens": 4,
    "service_tier": "standard",
    "inference_geo": "not_available",
    "output_tokens_details": {
      "thinking_tokens": 0
    }
  },
  "topKeys": [
    "model",
    "id",
    "type",
    "role",
    "content",
    "stop_reason",
    "stop_sequence",
    "stop_details",
    "usage"
  ],
  "latencyMs": 2884,
  "text": "OK"
}

消息 ID 符合官方格式且每次唯一

{
  "ids": [
    "msg_01vQ0YdydEc3V0RW7QpiWOv9",
    "msg_01qdQ8yhbOKyyZM8QxrYcYkP"
  ]
}

首轮签名形态为 Anthropic 官方，但篡改后的签名回传也被接受：中转站在转发时改写了对话历史（剥离/替换 thinking 块），签名验证链在中转站被切断——多账号号池轮换的典型做法。上游可能是官方账号，但你无法验证后续请求是否仍由官方处理

{
  "blockTypes": [
    "thinking",
    "text",
    "tool_use"
  ],
  "stop_reason": "tool_use",
  "signatureLength": 428,
  "signaturePrefix": "ErwCCqgBCBEY",
  "thinkingPreview": "",
  "thinkingMode": "adaptive",
  "signatureLooksOfficial": true,
  "roundTrip": {
    "validStatus": 200,
    "tamperedStatus": 200,
    "tamperedError": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"model\":\"claude-sonnet-5\",\"id\":\"msg_01Gc3KlMpttJFAyjdS7ygWDo\",\"type\":\"message\",\"role\":\"assistant\",…"
  }
}

SSE 事件序列完整，符合官方规范

{
  "status": 200,
  "ttftMs": 1719,
  "eventCount": 9,
  "sequence": [
    "message_start",
    "content_block_start",
    "ping",
    "content_block_delta",
    "content_block_delta",
    "content_block_delta",
    "content_block_stop",
    "message_delta",
    "message_stop"
  ],
  "startId": "msg_01wf4Yo9WL44xOVJJkHsO62D",
  "startUsage": {
    "input_tokens": 46,
    "cache_creation_input_tokens": 0,
    "cache_read_input_tokens": 0,
    "cache_creation": {
      "ephemeral_5m_input_tokens": 0,
      "ephemeral_1h_input_tokens": 0
    },
    "output_tokens": 1,
    "service_tier": "standard",
    "inference_geo": "not_available"
  },
  "deltaUsage": {
    "input_tokens": 46,
    "cache_creation_input_tokens": 0,
    "cache_read_input_tokens": 0,
    "output_tokens": 15,
    "output_tokens_details": {
      "thinking_tokens": 0
    }
  }
}

Tool Use 正常，参数与 stop_reason 均符合规范

{
  "stop_reason": "tool_use",
  "blockTypes": [
    "tool_use"
  ],
  "toolId": "toolu_01WTMcMxStwfoS6SxeGPCgRQ",
  "input": {
    "command": "echo tokyo"
  }
}

该模型不支持 assistant 预填充（Claude 5 代已移除此特性），跳过

stop_sequences 未生效：输出中仍包含停止词，参数未透传

{
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "text": "ONE TWO THREE FOUR FIVE SIX"
}

用量稳定 (40 tokens)，无注入痕迹

{
  "input_tokens": [
    40,
    40
  ],
  "output_tokens": [
    4,
    4
  ],
  "expectedInputApprox": "10-16"
}

模型表示无法逐字引用系统指令（CC 模式下常见），未发现明显的第三方注入

{
  "reply": "I can't quote my system instructions verbatim, as they're confidential.\n\nI'm Claude Code, Anthropic's CLI tool for software engineering tasks. I can help you with coding tasks like editing files, running commands, debugging, git operations, and answering questions about your codebase.\n\nIs there something I can help you with today?",
  "extra": "I can't quote my system instructions verbatim, as they're confidential.\n\nI'm Claude Code, Anthropic's CLI tool for software engineering tasks. I can help you with coding tasks like editing files, running commands, debugging, git operations, and answering questions about your codebase.\n\nIs there something I can help you with today?"
}

身份为 Anthropic，temperature=0 输出稳定

{
  "who": "Anthropic",
  "math": [
    "391",
    "391"
  ],
  "models": [
    "claude-sonnet-5",
    "claude-sonnet-5",
    "claude-sonnet-5"
  ]
}

PDF 内容识别正确

{
  "status": 200,
  "secret": "KIWI-9865",
  "reply": "KIWI-9865"
}

缓存写入 5096 tokens、第二次命中 5096 tokens，Prompt Caching 完整可用

{
  "first": {
    "input": 14,
    "creation": 5096,
    "read": 0
  },
  "second": {
    "input": 14,
    "creation": 0,
    "read": 5096
  }
}

长上下文召回全部通过（最高 32k）

{
  "tiers": [
    {
      "tokens": 32000,
      "ok": true,
      "status": 200,
      "latencyMs": 4705,
      "inputTokens": 32323,
      "reply": "699711",
      "stop": "end_turn"
    }
  ]
}