{"id":116134,"date":"2026-10-20T20:08:46","date_gmt":"2026-10-20T12:08:46","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/116134.html"},"modified":"2026-10-20T20:08:46","modified_gmt":"2026-10-20T12:08:46","slug":"%e5%a4%a7%e6%a8%a1%e5%9e%8b%e6%9c%8d%e5%8a%a1%e4%be%a7%e4%bf%a1%e9%81%93%e5%88%86%e6%9e%90%ef%bc%9atoken-%e7%94%9f%e6%88%90%e6%97%b6%e9%97%b4%e4%b8%8e%e6%96%87%e6%9c%ac%e9%95%bf%e5%ba%a6%e6%8e%a8","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/116134.html","title":{"rendered":"\u5927\u6a21\u578b\u670d\u52a1\u4fa7\u4fe1\u9053\u5206\u6790\uff1aToken \u751f\u6210\u65f6\u95f4\u4e0e\u6587\u672c\u957f\u5ea6\u63a8\u65ad\u98ce\u9669"},"content":{"rendered":"

\/* MD \/ \u5bcc\u6587\u672c\u4e2d\u7684 .toc\uff08\u542b\u535a\u5ba2\u56ed\u642c\u5bb6\u7b49\u5d4c\u5957\u7ed3\u6784\uff09\uff1b.toc-box \u5728\u4fa7\u680f\uff0c\u4e0d\u53d7\u5f71\u54cd *\/
\n #content_views .toc,
\n \/* \u7f16\u8f91\u5668\u5e38\u5728\u76ee\u5f55\u524d\u540e\u63d2\u5165\u7a7a p\uff08:empty \u4ecd\u5360 20px\uff09\uff0c\u4e00\u5e76\u53bb\u6389\u907f\u514d\u9876\u7a7a\u9699 *\/
\n #content_views.markdown_views > p:empty:has(+ .toc),
\n #content_views.markdown_views > .toc + p:empty,
\n \/* \u5bcc\u6587\u672c\u65e7\u7248\u76ee\u5f55\u6807\u8bb0 *\/
\n #content_views.htmledit_views #main-toc,
\n #content_views.htmledit_views #hr-toc,
\n #content_views.htmledit_views p[id*=\\”-toc\\”] {
\n display: none !important;
\n }
\n \/* \u76ee\u5f55\u53bb\u6389\u540e\uff0c\u7d27\u8ddf\u7684\u9996\u4e2a\u6807\u9898\u4e0d\u518d\u591a\u51fa\u4e00\u5757\u4e0a\u8fb9\u8ddd *\/
\n #content_views.markdown_views > .toc + h1,
\n #content_views.markdown_views > .toc + h2,
\n #content_views.markdown_views > .toc + h3,
\n #content_views.markdown_views > .toc + h4,
\n #content_views.markdown_views > .toc + p:empty + h1,
\n #content_views.markdown_views > .toc + p:empty + h2,
\n #content_views.markdown_views > .toc + p:empty + h3,
\n #content_views.markdown_views > .toc + p:empty + h4 {
\n margin-top: 0 !important;
\n }<\/p>\n

\u5927\u6a21\u578b\u670d\u52a1\u4fa7\u4fe1\u9053\u5206\u6790：Token \u751f\u6210\u65f6\u95f4\u4e0e\u6587\u672c\u957f\u5ea6\u63a8\u65ad\u98ce\u9669<\/h2>\n

\"\u5c01\u9762\u4fe1\u606f\u56fe\"<\/p>\n

\u5728\u4e3b\u6d41\u5927\u8bed\u8a00\u6a21\u578b（LLM）API \u670d\u52a1\u4e2d，\u4e3a\u4e86\u7ed9\u7ec8\u7aef\u7528\u6237\u5e26\u6765\u6781\u81f4\u7684\u4ea4\u4e92\u4f53\u9a8c，\u7edd\u5927\u591a\u6570\u4f9b\u5e94\u5546\u90fd\u9ed8\u8ba4\u5f00\u542f\u4e86\u6d41\u5f0f\u4f20\u8f93（Server-Sent Events, SSE）\u3002\u5728\u8fd9\u79cd\u6a21\u5f0f\u4e0b，\u6a21\u578b\u6bcf\u81ea\u56de\u5f52\u751f\u6210\u4e00\u4e2a Token，\u540e\u7aef\u7f51\u5173\u5c31\u4f1a\u7acb\u5373\u5c01\u88c5\u6210\u4e00\u4e2a\u7f51\u7edc\u6570\u636e\u5305\u53d1\u5f80\u5ba2\u6237\u7aef\u3002<\/p>\n

\u7136\u800c，\u8fd9\u79cd\u201c\u5b9e\u65f6\u751f\u6210\u3001\u5b9e\u65f6\u5410\u51fa\u201d\u7684\u6d41\u5f0f\u673a\u5236\u5728\u5e26\u6765\u6d41\u7545\u4f53\u9a8c\u7684\u540c\u65f6，\u4e5f\u6253\u5f00\u4e86\u4e00\u6247\u4e25\u91cd\u7684\u7f51\u7edc\u4fa7\u4fe1\u9053（Side-Channel）\u98ce\u9669\u4e4b\u95e8\u3002\u5373\u4f7f\u4f20\u8f93\u5c42\u542f\u7528\u4e86 TLS \u52a0\u5bc6，\u653b\u51fb\u8005\u901a\u8fc7\u5206\u6790\u6570\u636e\u5305\u7684\u5230\u8fbe\u65f6\u95f4\u95f4\u9694（Inter-Token Latency, ITL）\u3001\u9996\u5b57\u65f6\u95f4（Time To First Token, TTFT）\u4ee5\u53ca\u5bc6\u6587\u6570\u636e\u5305\u7684\u957f\u5ea6\u5e8f\u5217，\u4ecd\u7136\u80fd\u591f\u9ad8\u7cbe\u5ea6\u8fd8\u539f\u7528\u6237\u7684\u8f93\u5165\u957f\u5ea6\u3001\u63a8\u6d4b\u6a21\u578b\u8f93\u51fa\u7684\u4e3b\u9898\u8303\u7574，\u751a\u81f3\u5728\u7279\u5b9a\u573a\u666f\u4e0b\u91cd\u6784\u79c1\u5bc6\u654f\u611f\u6587\u672c\u3002<\/p>\n

\u4fa7\u4fe1\u9053\u6cc4\u9732\u673a\u7406\u4e0e\u7269\u7406\u7279\u5f81\u5206\u6790<\/h3>\n

LLM \u5728\u5e95\u5c42\u63a8\u7406\u65f6，\u53d7\u9650\u4e8e\u8ba1\u7b97\u67b6\u6784\u548c\u8bcd\u8868\u5206\u8bcd\u673a\u5236，\u5176\u7f51\u7edc\u6d41\u91cf\u5177\u5907\u9ad8\u5ea6\u89c4\u5f8b\u7684\u7edf\u8ba1\u5b66\u6307\u7eb9：<\/p>\n

  • TTFT \u4e0e Prompt \u957f\u5ea6\u7ebf\u6027\u5173\u8054：\u5728 Prefill（\u9884\u586b\u5145）\u9636\u6bb5，GPU \u9700\u8981\u5bf9\u6574\u4e2a Prompt \u8fdb\u884c\u5168\u91cf\u5e76\u884c Attention \u8ba1\u7b97\u3002Prompt \u8d8a\u957f，\u8ba1\u7b97\u8017\u65f6\u4e0e\u663e\u5b58\u52a0\u8f7d\u5f00\u9500\u8d8a\u5927\u3002\u653b\u51fb\u8005\u901a\u8fc7\u6d4b\u91cf\u4ece\u53d1\u9001\u8bf7\u6c42\u5230\u63a5\u6536\u5230\u7b2c\u4e00\u4e2a SSE \u6570\u636e\u5305\u7684\u65f6\u95f4\u8de8\u5ea6（TTFT），\u53ef\u4ee5\u53cd\u63a8\u7528\u6237\u8f93\u5165\u7684 Token \u6570\u91cf\u8303\u56f4\u3002<\/li>\n
  • ITL \u4e0e\u751f\u6210\u8bcd\u6c47\u590d\u6742\u5ea6\/\u91c7\u6837\u5f00\u9500\u5173\u8054：\u89e3\u7801（Decode）\u9636\u6bb5\u867d\u7136\u9010\u5b57\u751f\u6210，\u4f46\u4e0d\u540c\u7684 Token \u5728 Top-p \/ Top-k \u91c7\u6837\u3001\u505c\u6b62\u8bcd\u5339\u914d\u6216 KV \u7f13\u5b58\u547d\u4e2d\u4e0a\u5b58\u5728\u5fae\u5c0f\u7684\u6267\u884c\u65f6\u95f4\u5dee\u5f02\u3002<\/li>\n
  • \u5bc6\u6587\u5305\u957f\u76f4\u901a Token \u5b57\u8282\u957f\u5ea6：TLS \u8bb0\u5f55\u5c42（Record Layer）\u5728\u91c7\u7528\u6d41\u52a0\u5bc6\u6216 GCM \u6a21\u5f0f\u65f6，\u5bc6\u6587\u957f\u5ea6\u4e0e\u660e\u6587\u957f\u5ea6\u5448\u76f4\u63a5\u7684\u7ebf\u6027\u5bf9\u5e94\u5173\u7cfb\u3002\u5355\u4e2a Token \u7684 UTF-8 \u7f16\u7801\u957f\u5ea6（1 \u5230 4 \u5b57\u8282）\u52a0\u4e0a\u56fa\u5b9a SSE \u5305\u88c5\u524d\u7f00（data: {"choices":…}），\u4f1a\u76f4\u63a5\u6620\u5c04\u4e3a\u7279\u5b9a\u7684 TCP \u6570\u636e\u5305 Payload \u5927\u5c0f\u3002<\/li>\n

    \u5ba2\u6237\u7aef\u8bf7\u6c42 (Encrypted TLS)
    \n——————————————> LLM \u63a8\u7406\u7f51\u5173
    \n Prefill \u9636\u6bb5\u8ba1\u7b97 (\u65f6\u95f4 = T_prefill)
    \n<—————————————— \u9996\u5305\u8fd4\u56de (TTFT \u6cc4\u9732 Prompt \u957f\u5ea6)
    \n<– \u6570\u636e\u5305 1 (Len: 128B) [\u95f4\u9694: 35ms] —— Token 1 \u751f\u6210
    \n<– \u6570\u636e\u5305 2 (Len: 132B) [\u95f4\u9694: 42ms] —— Token 2 \u751f\u6210
    \n<– \u6570\u636e\u5305 3 (Len: 128B) [\u95f4\u9694: 31ms] —— Token 3 \u751f\u6210<\/p>\n

    \u4fa7\u4fe1\u9053\u7279\u5f81\u91c7\u96c6\u4e0e\u957f\u5ea6\u63a8\u65ad\u5b9e\u9a8c<\/h3>\n

    \u5728\u53d7\u63a7\u5c40\u57df\u7f51\u6216\u5177\u5907\u7aef\u53e3\u955c\u50cf\u6743\u9650\u7684\u7f51\u7edc\u8282\u70b9\u4e0a，\u653b\u51fb\u8005\u65e0\u9700\u89e3\u5bc6 TLS \u6d41\u91cf，\u4ec5\u901a\u8fc7\u6293\u53d6 TCP \u6d41\u7684\u65f6\u95f4\u6233\u4e0e\u62a5\u6587\u5c3a\u5bf8\u5e8f\u5217，\u5373\u53ef\u5efa\u7acb\u7279\u5f81\u5411\u91cf\u3002<\/p>\n

    \u4ee5\u4e0b\u662f\u4e00\u4e2a\u7528\u4e8e\u89e3\u6790\u5e76\u91cf\u5316\u5927\u6a21\u578b\u6d41\u5f0f\u4f20\u8f93\u4fa7\u4fe1\u9053\u7279\u5f81\u7684 Python \u5206\u6790\u811a\u672c：<\/p>\n

    import time
    \nimport math
    \nfrom typing import List, Tuple, Dict<\/p>\n

    class StreamSideChannelAnalyzer:
    \n def __init__(self):
    \n # \u8bb0\u5f55\u6355\u83b7\u7684\u6570\u636e\u5305\u65f6\u95f4\u6233\u4e0e\u8d1f\u8f7d\u5927\u5c0f (timestamp, payload_len)
    \n self.packet_stream: List[Tuple[float, int]] = []<\/p>\n

    def record_packet(self, payload_length: int):
    \n """\u6a21\u62df\u7f51\u7edc\u5c42\u6355\u83b7\u5230\u4e00\u4e2a\u5305\u542b SSE Token \u7684 TLS \u6570\u636e\u5305"""
    \n self.packet_stream.append((time.perf_counter(), payload_length))<\/p>\n

    def extract_features(self, request_send_time: float) -> Dict[str, float]:
    \n """\u63d0\u53d6\u9996\u5305\u5ef6\u8fdf\u3001\u5e73\u5747 Token \u95f4\u9694\u4e0e\u957f\u5ea6\u6ce2\u52a8\u7279\u5f81"""
    \n if not self.packet_stream:
    \n return {}<\/p>\n

    first_packet_time, first_len = self.packet_stream[0]
    \n ttft = (first_packet_time – request_send_time) * 1000.0 # \u6beb\u79d2<\/p>\n

    inter_token_latencies = []
    \n payload_lengths = [p[1] for p in self.packet_stream]<\/p>\n

    for i in range(1, len(self.packet_stream)):
    \n delta_t = (self.packet_stream[i][0] – self.packet_stream[i – 1][0]) * 1000.0
    \n inter_token_latencies.append(delta_t)<\/p>\n

    avg_itl = sum(inter_token_latencies) \/ len(inter_token_latencies) if inter_token_latencies else 0.0<\/p>\n

    # \u8ba1\u7b97 ITL \u6807\u51c6\u5dee
    \n variance = sum((x – avg_itl) ** 2 for x in inter_token_latencies) \/ len(inter_token_latencies) if inter_token_latencies else 0.0
    \n std_itl = math.sqrt(variance)<\/p>\n

    total_tokens_estimated = len(self.packet_stream)<\/p>\n

    return {
    \n "estimated_tokens": total_tokens_estimated,
    \n "ttft_ms": round(ttft, 2),
    \n "avg_itl_ms": round(avg_itl, 2),
    \n "std_itl_ms": round(std_itl, 2),
    \n "total_bytes": sum(payload_lengths)
    \n }<\/p>\n

    def infer_prompt_and_response_profile(self, features: Dict[str, float]) -> str:
    \n """\u57fa\u4e8e\u65f6\u5ef6\u7279\u5f81\u63a8\u65ad\u8f93\u5165\u4e0e\u8f93\u51fa\u7684\u89c4\u6a21\u753b\u50cf"""
    \n ttft = features.get("ttft_ms", 0.0)
    \n tokens = features.get("estimated_tokens", 0)<\/p>\n

    # \u7ecf\u9a8c\u9608\u503c\u6a21\u578b（\u9700\u9488\u5bf9\u5177\u4f53\u6a21\u578b\u7b97\u529b\u57fa\u51c6\u6821\u51c6）
    \n prompt_scale = "SHORT (1-100 Tokens)"
    \n if ttft > 800:
    \n prompt_scale = "VERY LONG (> 2000 Tokens \/ \u5927\u6587\u6863\u95ee\u7b54)"
    \n elif ttft > 350:
    \n prompt_scale = "MEDIUM (300-1000 Tokens)"<\/p>\n

    response_scale = f"\u8f93\u51fa\u89c4\u6a21\u7ea6 {tokens} \u4e2a Token"<\/p>\n

    return f"[\u4fa7\u4fe1\u9053\u63a8\u65ad\u7ed3\u8bba] \u8f93\u5165\u8d1f\u8f7d: {prompt_scale}, \u8f93\u51fa\u8d1f\u8f7d: {response_scale}"<\/p>\n

    # \u9a8c\u8bc1\u6d4b\u8bd5
    \nif __name__ == "__main__":
    \n analyzer = StreamSideChannelAnalyzer()<\/p>\n

    # \u6a21\u62df\u5ba2\u6237\u7aef\u5728 t0 \u53d1\u9001\u63d0\u793a\u8bcd\u8bf7\u6c42
    \n req_time = time.perf_counter()<\/p>\n

    # \u6a21\u62df GPU \u9884\u586b\u5145\u8017\u65f6 420ms
    \n time.sleep(0.42)<\/p>\n

    # \u6a21\u62df\u6d41\u5f0f\u5410\u51fa 8 \u4e2a Token，\u5305\u957f\u5fae\u5f31\u53d8\u52a8（120~135 \u5b57\u8282）
    \n mock_payload_sizes = [124, 128, 132, 124, 120, 136, 128, 120]
    \n for size in mock_payload_sizes:
    \n analyzer.record_packet(size)
    \n time.sleep(0.04) # \u5355\u4e2a Token \u7ea6 40ms \u751f\u6210\u65f6\u5ef6<\/p>\n

    features = analyzer.extract_features(req_time)
    \n print("[*] \u6355\u83b7\u7684\u7f51\u7edc\u4fa7\u4fe1\u9053\u7edf\u8ba1\u7279\u5f81:")
    \n for k, v in features.items():
    \n print(f" – {k}: {v}")<\/p>\n

    inference = analyzer.infer_prompt_and_response_profile(features)
    \n print(f"\\\\n{inference}")<\/p>\n

    \u670d\u52a1\u7aef\u4e0e\u7f51\u7edc\u7f51\u5173\u9632\u62a4\u52a0\u56fa\u65b9\u6848<\/h3>\n

    \u8981\u62b9\u9664\u6216\u5927\u5e45\u524a\u5f31\u6b64\u7c7b\u4fa7\u4fe1\u9053\u4fe1\u606f\u6cc4\u9732，\u4e0d\u80fd\u6307\u671b\u5355\u7eaf\u4f9d\u9760\u4f20\u8f93\u5c42 TLS \u52a0\u5bc6，\u5fc5\u987b\u5728\u5927\u6a21\u578b\u63a8\u7406\u7f51\u5173\u4e0e\u4f20\u8f93\u8c03\u5ea6\u5c42\u5f15\u5165\u9488\u5bf9\u6027\u7684\u201c\u65f6\u5ef6\u566a\u58f0\u4e0e\u62a5\u6587\u6df7\u6dc6\u201d：<\/p>\n

    1. \u5b9a\u957f Padding \u4e0e\u5757\u5bf9\u9f50（Fixed-Size Padding）<\/h4>\n

    \u5728\u7f51\u5173\u5411\u5ba2\u6237\u7aef\u53d1\u9001 SSE \u6570\u636e\u5305\u65f6，\u7981\u6b62\u76f4\u63a5\u6309\u7167\u539f\u59cb JSON \u5b57\u7b26\u4e32\u957f\u5ea6\u4e0b\u53d1，\u800c\u662f\u5bf9\u6bcf\u4e2a\u6570\u636e\u5305\u586b\u5145\u65e0\u610f\u4e49\u7684\u7a7a\u767d\u5b57\u7b26\u6216\u6269\u5c55\u5b57\u6bb5，\u5c06\u5176\u5f3a\u5236\u5bf9\u9f50\u5230\u56fa\u5b9a\u5757\u5927\u5c0f（\u4f8b\u5982\u7edf\u4e00\u586b\u5145\u4e3a 512 \u5b57\u8282\u6216 1024 \u5b57\u8282），\u5f7b\u5e95\u7834\u574f\u5bc6\u6587\u957f\u5ea6\u4e0e\u660e\u6587 Token \u957f\u5ea6\u7684\u5bf9\u5e94\u5173\u7cfb\u3002<\/p>\n

    def pad_sse_chunk(raw_data: str, target_block_size: int = 512) -> str:
    \n """\u5bf9 SSE \u6570\u636e\u5757\u8fdb\u884c\u5b9a\u957f\u586b\u5145，\u6d88\u9664\u62a5\u6587\u957f\u5ea6\u6307\u7eb9"""
    \n padding_needed = target_block_size – len(raw_data.encode('utf-8'))
    \n if padding_needed > 0:
    \n # \u4f7f\u7528 SSE \u534f\u8bae\u5141\u8bb8\u7684\u6ce8\u91ca\u884c\u6216\u5b57\u6bb5\u586b\u5145
    \n padded_content = raw_data + f"\\\\n:pad={'x' * (padding_needed – 7)}\\\\n\\\\n"
    \n return padded_content
    \n return raw_data + "\\\\n\\\\n"<\/p>\n

    2. \u5fae\u6279\u6b21\u6c47\u805a\u4e0e\u81ea\u9002\u5e94\u6296\u52a8（Micro-Batching & Jittering）<\/h4>\n

    \u53d6\u6d88\u5355 Token \u5373\u523b\u63a8\u9001\u673a\u5236，\u6539\u4e3a\u201cN \u4e2a Token \u805a\u5408\u53d1\u9001\u201d\u6216\u57fa\u4e8e\u968f\u673a\u65f6\u95f4\u7a97\u53e3（\u5982 50~120ms）\u6279\u91cf\u6253\u5305\u63a8\u9001\u3002\u7f51\u5173\u5728\u4e0b\u53d1\u6570\u636e\u6d41\u65f6，\u4e3b\u52a8\u5f15\u5165\u9ad8\u65af\u5206\u5e03\u968f\u673a\u6296\u52a8（Jitter），\u6253\u4e71 ITL \u7684\u65f6\u95f4\u89c4\u5f8b\u3002<\/p>\n

    [GPU \u63a8\u7406\u5f15\u64ce] —> (\u9010\u5b57\u4ea7\u51fa Token)
    \n |
    \n v
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