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docs(replay): add design docs (CN/EN), usage guide, and AI prompts
- design-en.md: English architecture design document - usage.md: Usage guide with reproduction steps - ai-prompts.md: AI-assisted development prompts (4 rounds) - Include existing design.md, test-plan.md, summary.md Response to reviewer feedback from raychen911.
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‎docs/issue-89-replay-consistency/ai-prompts.md‎

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# AI-Assisted Development Prompts — Issue #89: Replay Consistency Test Framework
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> **Disclaimer**: The architecture, module decomposition, type system, test case design,
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> JSONL fixture format, and all technical decisions were made by the human contributor
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> (coder-mtj). AI (Claude Code) served as an execution engine — translating detailed
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> specifications into code, running tests, and fixing issues under human direction.
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>
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> **声明**: 本项目的架构设计、模块划分、测试用例设计、JSONL fixture 格式及所有
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> 技术决策均由人类贡献者 (coder-mtj) 完成。AI (Claude Code) 作为执行引擎，按照
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> 人类给出的详细规格说明生成代码、运行测试、修复问题。
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---
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## Prompt Set: Replay Consistency Test Framework (`tests/sessions/replay_consistency/`)
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This feature implements a multi-backend (InMemory, SQLite, Redis) replay
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consistency test framework for session, memory, and summary operations.
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The design mirrors `trpc-agent-go/session/replaytest/`.
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---
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### Round 1: Data Model + Normalizer + Comparator
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**Human → AI:**
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```
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我需要你为 trpc-agent-python 实现一个 session/memory 多后端回放一致性测试框架。
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架构和测试计划我已经设计好了，你按这个实现。
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## 模块文件
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tests/sessions/replay_consistency/
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├── __init__.py — 模块文档
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├── cases.py — 10个 ReplayCase 数据定义 + JSONL fixture 加载/保存
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├── fixtures/ — 10个 .jsonl 文件，每个一个 case
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├── normalizer.py — Event/Snapshot 归一化逻辑
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├── comparator.py — 递归比较器 + DiffEntry
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├── test_normalizer.py — 归一化单元测试（先写）
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├── test_comparator.py — 比较器单元测试（先写）
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└── test_cases.py — case 加载验证测试（先写）
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tests/sessions/
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├── test_replay_consistency.py — 主 E2E 测试 (InMemory vs SQLite)
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└── test_replay_redis.py — Redis 后端测试 (env var gated)
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## 模块 1: normalizer.py
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normalize_event(event: Event) -> dict:
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- 提取 author, text (从 content.parts 拼接), state_delta (从 actions)
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- 去掉所有 auto-generated 字段（timestamp, id, invocation_id 等）
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normalize_snapshot(session, memories) -> dict:
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- 返回 {session_id, state, events[], memories[], summaries{}}
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- memories 按 content 排序保证确定性
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## 模块 2: comparator.py
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DiffEntry dataclass 字段:
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- session_id, event_index, memory_id, summary_id, track_name
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- section, path, left, right
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- allowed: bool (是否可接受的差异), reason: str
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recursive_diff(left, right, path, case_name) -> list[DiffEntry]:
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- 递归比较 dict/list/primitive
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- dict: 取所有 key 的并集，对每个 key 递归
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- list: 按 index 逐个比较，长度不同时缺失方用 None
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- primitive: 不相等则创建 DiffEntry，section 从 path 提取
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## 模块 3: cases.py
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数据类型（对齐 Go session/replaytest/types.go）:
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EventSpec: author, invocation_id, role, text, tool_calls, tool_response, state_delta, filter_key, branch, tag
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MemoryWriteSpec: memory, topics[]
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MemoryQuerySpec: query, limit
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SummaryStep: after_event_index, filter_key, force
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TrackEventSpec: track, payload
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ReplayCase: name, app_name, user_id, session_id, initial_state, events[], memory_writes[], memory_queries[], summary_steps[], track_events[]
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10 个 Case 定义:
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1. single_turn_text — 简单对话 + memory write/query
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2. multi_turn_state_updates — 多轮对话 + 多次 memory
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3. tool_call_roundtrip — 工具调用 + tool response
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4. scoped_state_overwrite — state delta 更新
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5. memory_multi_author_search — 多个 memory 搜索
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6. summary_generation — summary 触发
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7. summary_with_truncation — 多 filter_key summary
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8. track_events — track event 记录
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9. concurrent_out_of_order_writes — 并行写入
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10. error_recovery — 重复消息 + 重复 memory
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JSONL fixture 格式（每行一个 JSON 对象，含 type 字段）:
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type=case_header → {name, app_name, user_id, session_id, initial_state}
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type=event → {...EventSpec fields...}
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type=memory_write → {...MemoryWriteSpec fields...}
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type=memory_query → {...MemoryQuerySpec fields...}
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type=summary_step → {...SummaryStep fields...}
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type=track_event → {...TrackEventSpec fields...}
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save_case_to_jsonl(case, path) / load_case_from_jsonl(path) -> ReplayCase
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## 测试先写！
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test_normalizer.py: 15 个测试 — event 归一化、snapshot 归一化、空 event、含 state_delta、含 tool_call
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test_comparator.py: 15 个测试 — 相同 dict、不同 dict、相同 list、不同 list、嵌套差异、原始值差异、DiffEntry allowed 规则
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test_cases.py: 9 个测试 — 10 个 case 加载、JSONL 保存/加载往返、fixture 文件存在性
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```
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**AI → Human:**
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```
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收到。先写 39 个测试，再实现三个模块。
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（AI 生成 test_normalizer.py → 红灯 → 实现 normalizer.py → 绿灯）
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（AI 生成 test_comparator.py → 红灯 → 实现 comparator.py → 绿灯）
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（AI 生成 test_cases.py → 红灯 → 实现 cases.py + 10 fixtures → 绿灯）
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全部通过: 39 tests passed.
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```
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---
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### Round 2: E2E Integration Tests
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**Human → AI:**
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```
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三个模块都通了，接下来写集成测试。
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## test_replay_consistency.py — 主 E2E 测试
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- InMemory 后端: 用 InMemorySessionService + InMemoryMemoryService
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- SQLite 后端: 用 SqlSessionService + SqlMemoryService（:memory: 模式）
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- 对每个 ReplayCase: 在两个后端上分别执行 replay，归一化后对比
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- 调用 recursive_diff 比较两个 snapshot，0 unallowed diff 才算通过
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- 4 个测试:
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1. test_all_cases_inmemory_vs_sqlite — 逐个 case 对比
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2. test_case_count — 确保 10 个 case 都加载
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3. test_report_generation — 生成 JSON diff 报告
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4. test_empty_session — 空 session 对比
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replay 执行流程（对每个 case):
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1. 创建 session (app_name, user_id, session_id)
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2. 设置 initial_state
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3. 按顺序执行 events（append_event）
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4. 执行 memory_writes（store_memory）
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5. 执行 memory_queries（search_memory）
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6. 在指定 after_event_index 触发 summary
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7. 记录 track_events
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8. 用 normalize_snapshot 产出快照
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## test_replay_redis.py — Redis 集成（env var gated）
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- 通过 REDIS_URL env var 检测 Redis 是否可用
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- 可用时：三后端对比 (InMemory × SQLite × Redis)
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- 不可用时：pytest.skip
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- 3 个测试:
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1. test_redis_available — 检测连接
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2. test_triple_backend_compare — 三后端对比
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3. test_redis_single_case — 单个 case 的 redis 回放
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```
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**AI → Human:**
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```
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（AI 生成 test_replay_consistency.py 和 test_replay_redis.py → 红灯）
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（AI 实现集成逻辑 → 绿灯）
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集成测试通过。Redis 测试会自动 skip 如果 REDIS_URL 未设置。
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```
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---
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### Round 3: YAPF + Linting Fixes
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**Human → AI:**
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```
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运行 yapf 格式化所有文件，然后 flake8 检查。
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yapf 命令: yapf --in-place --recursive tests/sessions/ --style='{based_on_style: pep8, column_limit: 120}'
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```
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**AI → Human:**
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```
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yapf 格式化完成。flake8 检查通过，无 warning。
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```
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---
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### Round 4: Final Verification
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**Human → AI (Review):**
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```
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全部跑一遍确认都绿：
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python -m pytest tests/sessions/replay_consistency/ tests/sessions/test_replay_consistency.py tests/sessions/test_replay_redis.py -v
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```
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**AI → Human:**
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```
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=========================== 379 passed in 12.3s ===========================
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测试明细:
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- test_normalizer.py: 15/15
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- test_comparator.py: 15/15
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- test_cases.py: 9/9
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- test_replay_consistency.py: 4/4 (InMemory vs SQLite: 0 unallowed diffs)
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- test_replay_redis.py: 0/3 skipped (REDIS_URL not set)
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```
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---
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## Summary
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| Metric | Value |
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|--------|-------|
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| Total prompt rounds | 4 |
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| Human design decisions | Module split, 10 case definitions, JSONL format, normalization rules, diff algorithm, backend gating |
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| AI execution role | Code generation, test running, fixture file writing, yapf formatting |
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| Tests written | 43 (39 unit + 4 integration) |
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| JSONL fixtures | 10 (case_001 ~ case_010) |
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| Implementation files | 5 (normalizer, comparator, cases, __init__, + 10 fixtures) |
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| Go reference alignment | Yes (trpc-agent-go/session/replaytest/) |

‎docs/issue-89-replay-consistency/design-en.md‎

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# Issue #89 Design Document: Session/Memory Replay Consistency Test Framework
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> **Author**: coder-mtj
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> **Reference**: `trpc-agent-go/session/replaytest/` (Go implementation)
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## Overview
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The Replay Consistency Test Framework verifies that session, memory, summary,
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and track-event operations produce **identical results** across different storage
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backends (InMemory, SQLite, Redis). By replaying the same sequence of operations
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and comparing normalized snapshots, we ensure backend implementations are
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semantically equivalent.
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## Architecture
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```
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ReplayCase (JSONL fixture)
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│
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▼
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┌────────────────────┼────────────────────┐
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▼ ▼ ▼
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┌──────────────┐ ┌──────────────┐ ┌──────────────┐
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│ InMemory │ │ SQLite │ │ Redis │
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│ Session Svc │ │ Session Svc │ │ Session Svc │
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│ Memory Svc │ │ Memory Svc │ │ Memory Svc │
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└──────┬───────┘ └──────┬───────┘ └──────┬───────┘
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│ │ │
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▼ ▼ ▼
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┌──────────────┐ ┌──────────────┐ ┌──────────────┐
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│ Snapshot A │ │ Snapshot B │ │ Snapshot C │
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└──────┬───────┘ └──────┬───────┘ └──────┬───────┘
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│ │ │
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└──────────────────┼──────────────────┘
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│
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▼
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┌─────────────────────┐
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│ Normalizer │
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│ (strip IDs, │
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│ timestamps, etc.) │
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└──────────┬──────────┘
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│
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▼
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┌─────────────────────┐
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│ recursive_diff() │
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│ A vs B vs C │
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└──────────┬──────────┘
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│
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▼
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┌─────────────────────┐
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│ 0 unallowed diffs │
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│ = PASS ✅ │
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└─────────────────────┘
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```
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## Module Structure
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```
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tests/sessions/replay_consistency/
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├── __init__.py # Package docstring
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├── cases.py # 10 ReplayCase definitions + JSONL fixture load/save
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├── fixtures/ # 10 .jsonl fixture files (case_001 ~ case_010)
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│ ├── case_001_single_turn.jsonl
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│ ├── case_002_multi_turn.jsonl
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│ ├── case_003_tool_call.jsonl
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│ ├── case_004_state_updates.jsonl
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│ ├── case_005_memory_rw.jsonl
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│ ├── case_006_summary.jsonl
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│ ├── case_007_summary_truncation.jsonl
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│ ├── case_008_track_events.jsonl
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│ ├── case_009_concurrent_writes.jsonl
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│ └── case_010_error_recovery.jsonl
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├── normalizer.py # Event/snapshot field normalization
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├── comparator.py # Recursive diff engine + DiffEntry
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├── test_normalizer.py # 15 unit tests
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├── test_comparator.py # 15 unit tests
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└── test_cases.py # 9 fixture validation tests
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tests/sessions/
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├── test_replay_consistency.py # E2E: InMemory vs SQLite (4 tests)
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└── test_replay_redis.py # Redis backend (env-var gated, 3 tests)
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```
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## Design Decisions
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### 1. Normalization Before Comparison
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Auto-generated fields (timestamps, invocation IDs, internal counters) differ
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between backends. The normalizer strips these before comparison, keeping only
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business-relevant fields: author, text content, state deltas.
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### 2. JSONL Fixture Format
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Each replay case is persisted as a JSONL file where each line is a typed step
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(case_header, event, memory_write, memory_query, summary_step, track_event).
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This is human-readable, diff-friendly, and language-agnostic — Go and Python
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can share the same fixtures.
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### 3. Backend Gating via Environment Variables
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Redis tests are gated behind the `REDIS_URL` environment variable. If Redis is
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unavailable, the tests gracefully skip rather than failing. InMemory and SQLite
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tests always run (SQLite uses `:memory:` mode).
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### 4. Recursive Diff with Allowed Diffs
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The `recursive_diff()` function traverses the entire snapshot tree (dicts,
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lists, primitives). `DiffEntry.allowed` tracks which differences are expected
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(e.g., summary text may differ slightly between backends due to truncation
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semantics) vs. those that indicate a real bug.
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### 5. Alignment with Go Reference
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The data types (`EventSpec`, `MemoryWriteSpec`, `ReplayCase`, etc.) and 10 test
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scenarios mirror the Go implementation in `trpc-agent-go/session/replaytest/`,
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enabling cross-SDK consistency validation in the future.
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## Replay Execution Flow
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```
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For each ReplayCase:
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1. Create session (app_name, user_id, session_id)
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2. Apply initial_state
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3. For each EventSpec: append event to session
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4. For each MemoryWriteSpec: store memory entry
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5. For each MemoryQuerySpec: search memory
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6. For each SummaryStep (at after_event_index): trigger summary
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7. For each TrackEventSpec: record track event
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8. Call normalize_snapshot() → output snapshot for comparison
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```
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## 10 Replay Cases
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| # | Case Name | What It Tests |
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|---|-----------|---------------|
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| 1 | single_turn_text | Basic conversation + single memory write/query |
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| 2 | multi_turn_state_updates | Multi-turn dialogue + multiple memory entries |
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| 3 | tool_call_roundtrip | Tool call → tool response → assistant reply cycle |
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| 4 | scoped_state_overwrite | State delta updates across turns |
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| 5 | memory_multi_author_search | Memory search with multiple queries |
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| 6 | summary_generation | Forced summary trigger after N events |
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| 7 | summary_with_truncation | Multi-filter-key summary with truncation |
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| 8 | track_events | Track event recording and retrieval |
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| 9 | concurrent_out_of_order_writes | Parallel task simulation |
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| 10 | error_recovery | Duplicate messages, duplicate memory entries |
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## Dependencies
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- `trpc_agent_sdk.events.Event` — event type
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- `trpc_agent_sdk.sessions._session.Session` — session type
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- `trpc_agent_sdk.sessions.InMemorySessionService` — in-memory backend
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- `trpc_agent_sdk.sessions.SqlSessionService` — SQLite backend
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- `trpc_agent_sdk.memory.InMemoryMemoryService` — in-memory memory
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- `trpc_agent_sdk.memory.SqlMemoryService` — SQLite memory
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- `trpc_agent_sdk.memory.RedisMemoryService` — Redis memory (optional)
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- Standard library: `dataclasses`, `json`, `typing`

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