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H2Rhan merged 1 commit into from
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data: 34 组实验原始数据入库 + 溯源表 #9

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4 changes: 3 additions & 1 deletion .gitignore
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Expand Up @@ -4,7 +4,9 @@ __pycache__/
*.pyo

# 运行时产物（不入库）
data/
data/*
!data/experiments/
!data/README.md
*.db
metrics.jsonl
experiments/report.json
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -103,6 +103,7 @@ config/ session.json（Session 边界可切换配置）
experiments/ 三组对照 + rich_experiments.py（E20–E28）+ rich_experiments2.py（E30–E34）
tests/ 离线单测（录制样例 + 自查回归 + 多轮链 E2E）
tools/ mock_backend + verify_cache + smoke_e2e + recordings
data/ 34 组实验原始数据（逐轮 jsonl + 汇总 csv，溯源表见 data/README.md）
docs/ ir-schema.md / capability-matrix.md / experiment-results.md / LIMITATIONS.md / REVIEW.md / TRACK04_签字确认稿.md
CHANGELOG.md 按日期演进记录（v0 契约冻结 → v1.2 → 实验交付 → 覆盖补全）
```
31 changes: 31 additions & 0 deletions data/README.md
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# 实验原始数据（34 组实测 · 逐轮记录）

> 本目录是 `docs/experiment-results.md` 全部数字的**原始出处**：每一次真实 API 调用的逐轮 jsonl 记录 + 汇总 csv。
> 数据日期 2026-09-08 / 09-09，Anthropic Messages API 兼容端点真实调用。
> 口径与防污染方法（唯一 run_id 前缀隔离等）见实验文档第七节「方法学与踩坑」。

## 文件 → 实验编号 溯源表

| 文件 | 内容 | 对应实验文档结论 |
| --- | --- | --- |
| `experiment_20260908_213818.jsonl` / `summary_*.csv` | 三组对照主实验批次 1：A_baseline / B_locked / G1_300 / G2_4x512 / G3_2048 / G4_30frag | exp1–exp5 |
| `experiment_20260908_214354.jsonl` / `summary_*.csv` | 批次 2：增加 C_dynamic / D1_head / D2_tail | exp1–exp8 |
| `experiment_20260908_214628.jsonl` / `summary_*.csv` | 批次 3（8 轮 × 9 配置全量） | exp1–exp19 主数据 |
| `supplement_20260908_220106.jsonl` | 补充实验一：E1/E2 协议横向 token 对照（99.3% 少算）+ H_10/30/60blk 块数证伪 | 20-block 回看窗口证伪 |
| `supplement_20260908_220353.jsonl` | 补充实验一续：H_5/10/30/60blk | 同上 |
| `batch3_20260908_221208.jsonl` | 三协议横向（R1_anthropic / R2_chat / R3_responses）+ 逐模型阈值探测（T_haiku-4.5 / T_sonnet-4.6 / T_opus-5）+ N1–N5 更新频率公式 | 05B 悬案 / 阈值表 / (N−1)/N |
| `batch4_20260908_223443.jsonl` | 断点数量（P1–P4，第 5 个 400）+ 边际效应（M_500–8000）+ 顺序对照（O1_fixed / O2_shuffled）+ 长前缀（OP_10000/20000） | 4 断点上限 / 阈值边际 / 确定性序列化 |
| `batch5_20260908_223934.jsonl` | LONG 20 轮长对话 + WARMUP 预热 + GAIN_LOCKED/DYNAMIC 成本收益 | 7.3× 主数字 / 首轮 11.6× |
| `ttl_20260908_224911.jsonl` / `ttl_20260908_230014.jsonl` | TTL 双档（T1_5min / T2_1h），两次运行互相印证 | 5min 档 400s 失效 |
| `rich_20260908_232421.jsonl` / `rich_20260908_232832.jsonl` / `rich_20260908_233922.jsonl` | 覆盖实验 E20–E29（跨模型隔离 / 流式无损 / schema 变更 / 阈值复测 / 断点位置 / 05B 救援 E27 / E29 埋点对账） | E20–E29 全部结论 |
| `补充2_20260909_142421.jsonl` | E30 并发冷启动 / E31 前缀字节边界 | E30–E31 |
| `补充3_20260909_142829.jsonl` | E32 single-flight / E33 命中延迟差 ~1.65s | E32–E33 |
| `补充4_20260909_143614.jsonl` | E34 opus-5 四档复测（端点异常定性）+ haiku 对照 | E34 / LIMITATIONS #9 |

> 说明：采集当日另有两个 0 字节空文件（`补充2_20260909_141208/141913.jsonl`，为前两次未完成运行），无数据，未入库。

## 字段口径

- `cr` / `cache_read` = `cache_read_input_tokens`；`cc` / `cache_creation` = `cache_creation_input_tokens`；`ti` = `input_tokens`（均为上游真实返回）。
- `hit_rate` = cache_read / (cache_read + input_tokens)，与实验文档定义一致。
- `batch5` 的 `cost` 为按当时价目计算的美元成本；实验文档中的成本列统一为**相对倍数**，绝对金额以本目录原始记录为准。
45 changes: 45 additions & 0 deletions data/experiments/batch3_20260908_221208.jsonl
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{"exp": "R1_anthropic", "path": "/messages", "round": 1, "total_in": 2981, "cached": 0, "wrote": 2972, "hit_rate": 0.0}
{"exp": "R1_anthropic", "path": "/messages", "round": 2, "total_in": 2981, "cached": 2972, "wrote": 0, "hit_rate": 0.997}
{"exp": "R1_anthropic", "path": "/messages", "round": 3, "total_in": 2982, "cached": 2972, "wrote": 0, "hit_rate": 0.9966}
{"exp": "R2_chat", "path": "/chat/completions", "round": 1, "total_in": 2981, "cached": 2972, "wrote": null, "hit_rate": 0.997}
{"exp": "R2_chat", "path": "/chat/completions", "round": 2, "total_in": 2981, "cached": 2972, "wrote": null, "hit_rate": 0.997}
{"exp": "R2_chat", "path": "/chat/completions", "round": 3, "total_in": 2982, "cached": 2972, "wrote": null, "hit_rate": 0.9966}
{"exp": "R3_responses", "path": "/responses", "round": 1, "total_in": 2983, "cached": 0, "wrote": null, "hit_rate": 0.0}
{"exp": "R3_responses", "path": "/responses", "round": 2, "total_in": 2983, "cached": 0, "wrote": null, "hit_rate": 0.0}
{"exp": "R3_responses", "path": "/responses", "round": 3, "total_in": 2984, "cached": 0, "wrote": null, "hit_rate": 0.0}
{"exp": "T_haiku-4.5", "model": "anthropic/claude-haiku-4.5", "size": 600, "cached": 0, "wrote": 0, "cached_ok": false}
{"exp": "T_sonnet-4.6", "model": "anthropic/claude-sonnet-4.6", "size": 600, "cached": 0, "wrote": 0, "cached_ok": false}
{"exp": "T_opus-5", "model": "anthropic/claude-opus-5", "size": 600, "cached": 0, "wrote": 0, "cached_ok": false}
{"exp": "T_haiku-4.5", "model": "anthropic/claude-haiku-4.5", "size": 1200, "cached": 0, "wrote": 0, "cached_ok": false}
{"exp": "T_sonnet-4.6", "model": "anthropic/claude-sonnet-4.6", "size": 1200, "cached": 1436, "wrote": 1436, "cached_ok": true}
{"exp": "T_opus-5", "model": "anthropic/claude-opus-5", "size": 1200, "cached": 0, "wrote": 0, "cached_ok": false}
{"exp": "T_haiku-4.5", "model": "anthropic/claude-haiku-4.5", "size": 2500, "cached": 0, "wrote": 0, "cached_ok": false}
{"exp": "T_sonnet-4.6", "model": "anthropic/claude-sonnet-4.6", "size": 2500, "cached": 2972, "wrote": 2972, "cached_ok": true}
{"exp": "T_opus-5", "model": "anthropic/claude-opus-5", "size": 2500, "cached": 0, "wrote": 0, "cached_ok": false}
{"exp": "T_haiku-4.5", "model": "anthropic/claude-haiku-4.5", "size": 5000, "cached": 5936, "wrote": 5936, "cached_ok": true}
{"exp": "T_sonnet-4.6", "model": "anthropic/claude-sonnet-4.6", "size": 5000, "cached": 5937, "wrote": 5937, "cached_ok": true}
{"exp": "T_opus-5", "model": "anthropic/claude-opus-5", "size": 5000, "cached": 0, "wrote": 0, "cached_ok": false}
{"exp": "N1", "every_n": 1, "round": 1, "version": 0, "cache_read": 0, "cache_creation": 2974, "hit_rate": 0.0}
{"exp": "N1", "every_n": 1, "round": 2, "version": 1, "cache_read": 0, "cache_creation": 2974, "hit_rate": 0.0}
{"exp": "N1", "every_n": 1, "round": 3, "version": 2, "cache_read": 0, "cache_creation": 2974, "hit_rate": 0.0}
{"exp": "N1", "every_n": 1, "round": 4, "version": 3, "cache_read": 0, "cache_creation": 2974, "hit_rate": 0.0}
{"exp": "N1", "every_n": 1, "round": 5, "version": 4, "cache_read": 0, "cache_creation": 2974, "hit_rate": 0.0}
{"exp": "N1", "every_n": 1, "round": 6, "version": 5, "cache_read": 0, "cache_creation": 2974, "hit_rate": 0.0}
{"exp": "N2", "every_n": 2, "round": 1, "version": 0, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
{"exp": "N2", "every_n": 2, "round": 2, "version": 0, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
{"exp": "N2", "every_n": 2, "round": 3, "version": 1, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.9966}
{"exp": "N2", "every_n": 2, "round": 4, "version": 1, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
{"exp": "N2", "every_n": 2, "round": 5, "version": 2, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.9966}
{"exp": "N2", "every_n": 2, "round": 6, "version": 2, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
{"exp": "N3", "every_n": 3, "round": 1, "version": 0, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
{"exp": "N3", "every_n": 3, "round": 2, "version": 0, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
{"exp": "N3", "every_n": 3, "round": 3, "version": 0, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.9966}
{"exp": "N3", "every_n": 3, "round": 4, "version": 1, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
{"exp": "N3", "every_n": 3, "round": 5, "version": 1, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.9966}
{"exp": "N3", "every_n": 3, "round": 6, "version": 1, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
{"exp": "N5", "every_n": 5, "round": 1, "version": 0, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
{"exp": "N5", "every_n": 5, "round": 2, "version": 0, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
{"exp": "N5", "every_n": 5, "round": 3, "version": 0, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.9966}
{"exp": "N5", "every_n": 5, "round": 4, "version": 0, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
{"exp": "N5", "every_n": 5, "round": 5, "version": 0, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.9966}
{"exp": "N5", "every_n": 5, "round": 6, "version": 1, "cache_read": 2974, "cache_creation": 0, "hit_rate": 0.997}
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{"exp": "P1_1bp", "breakpoints": 1, "hit_rate": 0.0, "err": null}
{"exp": "P2_2bp", "breakpoints": 2, "hit_rate": 0.6635, "err": null}
{"exp": "P3_4bp", "breakpoints": 4, "hit_rate": 0.8316, "err": null}
{"exp": "P4_5bp", "breakpoints": 5, "hit_rate": null, "err": "HTTP 400: {\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"A maximum of 4 blocks with cache_control may be provided. Found 5.\",\"error_type\":\"invalid_req"}
{"exp": "M_500", "size": 500, "cached": 0, "hit_rate": 0.0, "cost": 0.00568}
{"exp": "M_1000", "size": 1000, "cached": 1174, "hit_rate": 0.6616, "cost": 0.00541}
{"exp": "M_2000", "size": 2000, "cached": 2323, "hit_rate": 0.6641, "cost": 0.01041}
{"exp": "M_4000", "size": 4000, "cached": 4628, "hit_rate": 0.6654, "cost": 0.02044}
{"exp": "M_8000", "size": 8000, "cached": 9240, "hit_rate": 0.666, "cost": 0.0405}
{"exp": "O1_fixed", "hit_rate": 0.7476}
{"exp": "O2_shuffled", "hit_rate": 0.2492}
{"exp": "OP_10000", "size": 10000, "round": 1, "cr": 0, "cc": 0, "ti": 0}
{"exp": "OP_10000", "size": 10000, "round": 2, "cr": 0, "cc": 0, "ti": 0}
{"exp": "OP_20000", "size": 20000, "round": 1, "cr": 0, "cc": 0, "ti": 0}
{"exp": "OP_20000", "size": 20000, "round": 2, "cr": 0, "cc": 0, "ti": 0}
25 changes: 25 additions & 0 deletions data/experiments/batch5_20260908_223934.jsonl
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{"exp": "LONG", "round": 1, "cr": 0, "cc": 9241, "ti": 9, "hit_rate": 0.0, "cost": 0.011585}
{"exp": "LONG", "round": 2, "cr": 9241, "cc": 0, "ti": 20, "hit_rate": 0.9978, "cost": 0.000969}
{"exp": "LONG", "round": 3, "cr": 9241, "cc": 0, "ti": 32, "hit_rate": 0.9965, "cost": 0.000986}
{"exp": "LONG", "round": 4, "cr": 9241, "cc": 0, "ti": 44, "hit_rate": 0.9953, "cost": 0.000993}
{"exp": "LONG", "round": 5, "cr": 9241, "cc": 0, "ti": 56, "hit_rate": 0.994, "cost": 0.00101}
{"exp": "LONG", "round": 6, "cr": 9241, "cc": 0, "ti": 68, "hit_rate": 0.9927, "cost": 0.001017}
{"exp": "LONG", "round": 7, "cr": 9241, "cc": 0, "ti": 80, "hit_rate": 0.9914, "cost": 0.001034}
{"exp": "LONG", "round": 8, "cr": 9241, "cc": 0, "ti": 92, "hit_rate": 0.9901, "cost": 0.001041}
{"exp": "LONG", "round": 9, "cr": 9241, "cc": 0, "ti": 104, "hit_rate": 0.9889, "cost": 0.001058}
{"exp": "LONG", "round": 10, "cr": 9241, "cc": 0, "ti": 116, "hit_rate": 0.9876, "cost": 0.001065}
{"exp": "LONG", "round": 11, "cr": 9241, "cc": 0, "ti": 127, "hit_rate": 0.9864, "cost": 0.001076}
{"exp": "LONG", "round": 12, "cr": 9241, "cc": 0, "ti": 138, "hit_rate": 0.9853, "cost": 0.001087}
{"exp": "LONG", "round": 13, "cr": 9241, "cc": 0, "ti": 150, "hit_rate": 0.984, "cost": 0.001104}
{"exp": "LONG", "round": 14, "cr": 9241, "cc": 0, "ti": 162, "hit_rate": 0.9828, "cost": 0.001111}
{"exp": "LONG", "round": 15, "cr": 9241, "cc": 0, "ti": 174, "hit_rate": 0.9815, "cost": 0.001128}
{"exp": "LONG", "round": 16, "cr": 9241, "cc": 0, "ti": 186, "hit_rate": 0.9803, "cost": 0.001135}
{"exp": "LONG", "round": 17, "cr": 9241, "cc": 0, "ti": 198, "hit_rate": 0.979, "cost": 0.001152}
{"exp": "LONG", "round": 18, "cr": 9241, "cc": 0, "ti": 210, "hit_rate": 0.9778, "cost": 0.001159}
{"exp": "LONG", "round": 19, "cr": 9241, "cc": 0, "ti": 222, "hit_rate": 0.9765, "cost": 0.001176}
{"exp": "LONG", "round": 20, "cr": 9241, "cc": 0, "ti": 234, "hit_rate": 0.9753, "cost": 0.001183}
{"exp": "WARMUP", "phase": "warmup", "cr": 0, "cc": 9240, "ti": 8}
{"exp": "WARMUP", "phase": "正式1", "cr": 9240, "cc": 0, "ti": 9, "hit_rate": 0.999}
{"exp": "WARMUP", "phase": "正式2", "cr": 9240, "cc": 0, "ti": 9, "hit_rate": 0.999}
{"exp": "GAIN_LOCKED", "mode": "LOCKED", "rounds": 20, "hit_rate": 0.9372, "total_cost": 0.03207}
{"exp": "GAIN_DYNAMIC", "mode": "DYNAMIC", "rounds": 20, "hit_rate": 0.0, "total_cost": 0.23406}
18 changes: 18 additions & 0 deletions data/experiments/experiment_20260908_213818.jsonl
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{"group": "1-更新频率", "config": "A_baseline", "desc": "不注入记忆（基线）", "round": 1, "model": "anthropic/claude-sonnet-4.6", "session_id": "A_baseline-20260908_213818", "input_tokens": 17, "cache_creation": 0, "cache_read": 0, "output_tokens": 5, "hit_rate": 0.0, "cost_usd": 0.000126}
{"group": "1-更新频率", "config": "A_baseline", "desc": "不注入记忆（基线）", "round": 2, "model": "anthropic/claude-sonnet-4.6", "session_id": "A_baseline-20260908_213818", "input_tokens": 28, "cache_creation": 0, "cache_read": 0, "output_tokens": 5, "hit_rate": 0.0, "cost_usd": 0.000159}
{"group": "1-更新频率", "config": "A_baseline", "desc": "不注入记忆（基线）", "round": 3, "model": "anthropic/claude-sonnet-4.6", "session_id": "A_baseline-20260908_213818", "input_tokens": 40, "cache_creation": 0, "cache_read": 0, "output_tokens": 6, "hit_rate": 0.0, "cost_usd": 0.00021}
{"group": "1-更新频率", "config": "B_locked", "desc": "会话开始注入一次并锁死", "round": 1, "model": "anthropic/claude-sonnet-4.6", "session_id": "B_locked-20260908_213818", "input_tokens": 954, "cache_creation": 0, "cache_read": 0, "output_tokens": 5, "hit_rate": 0.0, "cost_usd": 0.002937}
{"group": "1-更新频率", "config": "B_locked", "desc": "会话开始注入一次并锁死", "round": 2, "model": "anthropic/claude-sonnet-4.6", "session_id": "B_locked-20260908_213818", "input_tokens": 965, "cache_creation": 0, "cache_read": 0, "output_tokens": 5, "hit_rate": 0.0, "cost_usd": 0.00297}
{"group": "1-更新频率", "config": "B_locked", "desc": "会话开始注入一次并锁死", "round": 3, "model": "anthropic/claude-sonnet-4.6", "session_id": "B_locked-20260908_213818", "input_tokens": 977, "cache_creation": 0, "cache_read": 0, "output_tokens": 6, "hit_rate": 0.0, "cost_usd": 0.003021}
{"group": "3-粒度", "config": "G1_300", "desc": "单块~300token(低于阈值)", "round": 1, "model": "anthropic/claude-sonnet-4.6", "session_id": "G1_300-20260908_213818", "input_tokens": 255, "cache_creation": 0, "cache_read": 0, "output_tokens": 5, "hit_rate": 0.0, "cost_usd": 0.00084}
{"group": "3-粒度", "config": "G1_300", "desc": "单块~300token(低于阈值)", "round": 2, "model": "anthropic/claude-sonnet-4.6", "session_id": "G1_300-20260908_213818", "input_tokens": 266, "cache_creation": 0, "cache_read": 0, "output_tokens": 5, "hit_rate": 0.0, "cost_usd": 0.000873}
{"group": "3-粒度", "config": "G1_300", "desc": "单块~300token(低于阈值)", "round": 3, "model": "anthropic/claude-sonnet-4.6", "session_id": "G1_300-20260908_213818", "input_tokens": 278, "cache_creation": 0, "cache_read": 0, "output_tokens": 6, "hit_rate": 0.0, "cost_usd": 0.000924}
{"group": "3-粒度", "config": "G2_4x512", "desc": "4条×512token 多断点", "round": 1, "model": "anthropic/claude-sonnet-4.6", "session_id": "G2_4x512-20260908_213818", "input_tokens": 9, "cache_creation": 1627, "cache_read": 0, "output_tokens": 5, "hit_rate": 0.0, "cost_usd": 0.006203}
{"group": "3-粒度", "config": "G2_4x512", "desc": "4条×512token 多断点", "round": 2, "model": "anthropic/claude-sonnet-4.6", "session_id": "G2_4x512-20260908_213818", "input_tokens": 20, "cache_creation": 0, "cache_read": 1627, "output_tokens": 5, "hit_rate": 0.9879, "cost_usd": 0.000623}
{"group": "3-粒度", "config": "G2_4x512", "desc": "4条×512token 多断点", "round": 3, "model": "anthropic/claude-sonnet-4.6", "session_id": "G2_4x512-20260908_213818", "input_tokens": 32, "cache_creation": 0, "cache_read": 1627, "output_tokens": 6, "hit_rate": 0.9807, "cost_usd": 0.000674}
{"group": "3-粒度", "config": "G3_2048", "desc": "单块2048token 大块", "round": 1, "model": "anthropic/claude-sonnet-4.6", "session_id": "G3_2048-20260908_213818", "input_tokens": 9, "cache_creation": 1604, "cache_read": 0, "output_tokens": 5, "hit_rate": 0.0, "cost_usd": 0.006117}
{"group": "3-粒度", "config": "G3_2048", "desc": "单块2048token 大块", "round": 2, "model": "anthropic/claude-sonnet-4.6", "session_id": "G3_2048-20260908_213818", "input_tokens": 20, "cache_creation": 0, "cache_read": 1604, "output_tokens": 5, "hit_rate": 0.9877, "cost_usd": 0.000616}
{"group": "3-粒度", "config": "G3_2048", "desc": "单块2048token 大块", "round": 3, "model": "anthropic/claude-sonnet-4.6", "session_id": "G3_2048-20260908_213818", "input_tokens": 32, "cache_creation": 0, "cache_read": 1604, "output_tokens": 6, "hit_rate": 0.9804, "cost_usd": 0.000667}
{"group": "3-粒度", "config": "G4_30frag", "desc": "30条细粒度(20-block窗口)", "round": 1, "model": "anthropic/claude-sonnet-4.6", "session_id": "G4_30frag-20260908_213818", "input_tokens": 9, "cache_creation": 2948, "cache_read": 0, "output_tokens": 5, "hit_rate": 0.0, "cost_usd": 0.011157}
{"group": "3-粒度", "config": "G4_30frag", "desc": "30条细粒度(20-block窗口)", "round": 2, "model": "anthropic/claude-sonnet-4.6", "session_id": "G4_30frag-20260908_213818", "input_tokens": 20, "cache_creation": 0, "cache_read": 2948, "output_tokens": 5, "hit_rate": 0.9933, "cost_usd": 0.001019}
{"group": "3-粒度", "config": "G4_30frag", "desc": "30条细粒度(20-block窗口)", "round": 3, "model": "anthropic/claude-sonnet-4.6", "session_id": "G4_30frag-20260908_213818", "input_tokens": 32, "cache_creation": 0, "cache_read": 2948, "output_tokens": 6, "hit_rate": 0.9893, "cost_usd": 0.00107}
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