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第六周周报（中文）

一、本周目标

本周延续第五周“已上线可用”的基础，重点从“能跑”转向“稳定可用”。核心目标是提升多轮对话中的上下文延续能力，减少重复追问，并让图引擎在不确定场景下具备更清晰的决策路径。

二、本周完成

  1. 多轮补参与线程恢复闭环完善
    已打通 AskUser -> checkpoint 挂起 -> 用户补充 -> 恢复执行 主链路，支持在同线程内恢复上下文继续检索与回答，减少“重新从头问一遍”的体验问题。

  2. 通用反思决策模块落地
    pre/post 两阶段反思逻辑已统一到同一决策框架，支持 continue_retrieval / ask_user / revise_answer / accept_answer 四种动作，并结合不确定度阈值、hop 上限、反思轮次上限做收敛控制。

  3. 回答生成稳态与兜底能力增强
    对回答生成流程补齐了重试与异常兜底；当回答阶段异常或反思轮次超限时，系统会给出可解释降级结果，避免静默失败或空响应。

  4. Telegram / Discord 在线运行时一致性增强
    两端 gateway 都统一接入 full graph 主流程，并对过滤、异常回退、消息格式适配、分段发送等行为进行了补齐，线上入口行为更一致。

  5. 测试与回归验证
    现有非集成测试已完整回归通过：pytest -m 'not integration' 结果为 260 passed, 2 deselected，覆盖图引擎、记忆服务、平台适配、检索与工具运行时等关键模块。

三、阶段性成果

本周完成后，系统已从“单轮可用”进一步推进到“多轮可持续交互”阶段：

  1. 追问后可恢复执行，不再依赖人工重述完整问题。
  2. 图引擎在证据不足、证据冲突、回答不稳定场景下有了更明确的自动分流策略。
  3. 双平台在线链路与离线演示链路的行为一致性显著提升，便于后续评测与迭代。

四、当前问题

  1. 运行日志仍存在噪音，测试结束阶段偶发第三方库清理日志报错（不影响通过率，但影响可读性）。
  2. 工具协议层已定义多工具（如 discourse_query、github_search），但当前运行时主路径仍以 qdrant_search / memory_fetch 为主，工具闭环仍需继续补齐。
  3. 多轮效果已有机制保障，但缺少按任务类型拆分的量化指标面板（例如上下文延续率、追问命中率、平均追问轮次）。

五、下周计划（Week 7）

  1. 日志治理与可观测性优化：降低噪音日志，统一关键错误码与诊断视图。
  2. 补齐工具执行闭环：推进 discourse_query / github_search 在运行时的标准化接入与超时/幂等策略对齐。
  3. 建立多轮评测集：按“方案推荐 / 开发指导 / 排障定位”三类任务沉淀样例并量化跟踪。
  4. 强化线上稳定性验证：补充 Telegram/Discord 端到端长对话与异常路径压测。

Week 6 Report (English)

1. Weekly Goal

Following Week 5’s online availability milestone, this week focused on stability and multi-turn quality: preserving context across clarification turns, reducing repeated follow-up questions, and making graph decisions more deterministic under uncertainty.

2. Completed Work

  1. Clarification-resume loop improved
    Completed AskUser -> checkpoint suspend -> user supplement -> resume flow, enabling in-thread continuation instead of restarting from scratch.

  2. Unified reflection decision framework
    Implemented a unified pre/post reflection decision set:
    continue_retrieval / ask_user / revise_answer / accept_answer, with uncertainty threshold, hop caps, and reflection-round limits.

  3. Answer generation resilience upgrades
    Added retry and fallback behavior for answer composition, with clearer degradation behavior when composition fails or post-reflection rounds are exhausted.

  4. Telegram/Discord runtime consistency improvements
    Both gateways now align on full-graph execution behavior, including filtering, fallback handling, output formatting, and segmented delivery.

  5. Regression verification
    Non-integration regression tests passed:
    pytest -m 'not integration' → 260 passed, 2 deselected.

3. Milestone Outcomes

The system moved from “single-turn usable” to a more reliable multi-turn stage:

  1. Clarification can resume execution with preserved thread context.
  2. Evidence-insufficient/conflicting/unstable-answer cases now have clearer automatic routing behavior.
  3. Better parity between online runtime paths and offline demo paths for future evaluation.

4. Current Issues

  1. Log noise still exists (occasional third-party cleanup logging errors after test completion).
  2. Tool schema supports more tools (discourse_query, github_search), while runtime execution is still centered on qdrant_search / memory_fetch.
  3. Multi-turn mechanisms are in place, but task-type-based quantitative dashboards are still missing.

5. Plan for Week 7

  1. Logging and observability cleanup with clearer diagnostics.
  2. Complete runtime tool-loop coverage for discourse_query / github_search with timeout/idempotency alignment.
  3. Build a multi-turn evaluation set across recommendation/guidance/troubleshooting scenarios.
  4. Add longer end-to-end stability and failure-path tests for Telegram/Discord.
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