Harden evidence trace semantics

devflow/index.md

@@ -4,6 +4,7 @@
 
 | 日期 | slug | 领域 | 关键词 | 状态 |
 |---|---|---|---|---|
+| 2026-07-04 | evidence-trace-hardening | 证据链/降级契约/离线验证 | ToolInvocationRecorder, ToolTraceSummaryService, lookup_knowledge, query_logs, query_metrics, LOW_CONFID, REJECT | openspec/changes/evidence-trace-hardening | active |
 | 2026-07-03 | mvp-demo-trace-acceptance | MVP Demo/trace/acceptance | mvp-demo, trace API, diagnosis_session, agent_step, tool_invocation, feedback | openspec/changes/archive/2026-07-03-mvp-demo-trace-acceptance | archived |
 | 2026-05-29 | chatmodel-abstraction | 解耦/多模型路由 | ChatModel, EmbeddingModel, DeepSeek, BGE-M3, SiliconFlow, Spring AI | archived |
 | 2026-06-23 | phase1-infrastructure | 基础设施/文档管理 | MySQL, Redis, Milvus, Flyway, JPA, 向量检索, 类别过滤 | archived |

devflow/projects/2026-07-04-evidence-trace-hardening/acceptance.md

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+# Acceptance: evidence-trace-hardening
+
+## Classification
+
+standard-light
+
+## Task Status
+
+| Task | Status | Notes |
+| --- | --- | --- |
+| Issue and OpenSpec setup | Done | `ISS-005` and the initial OpenSpec artifacts were created. |
+| Implementation | Done | Recorder contract, lookup persistence path, evidence summary semantics, and degraded-path tests were implemented. |
+| Verification | Done | Targeted offline tests and compile verification passed. |
+
+## Verification
+
+### Script Verification
+
+- Command: `mvn -q "-Dtest=ToolInvocationRecorderTest,ToolTraceSummaryServiceTest,ChatServiceSequentialAgentTest,LookupKnowledgeToolTest" test`
+- Result: passed
+- Notes: Covers recorder contract, summary semantics for success/failure/no-evidence, and `ChatService` fallback / degraded paths.
+
+### Static Verification
+
+- Command: `mvn -q -DskipTests compile`
+- Result: passed
+
+## Open Questions
+
+| Question | Current position |
+| --- | --- |
+| Should deduped retrievals be counted separately from generic no-hit events in future evaluation metrics? | Deferred to P1-B; this change preserves enough structure to decide later. |

devflow/projects/2026-07-04-evidence-trace-hardening/brief.md

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+# Brief: evidence-trace-hardening
+
+## Background
+
+The MVP already has persisted tool traces and a verifier, but the evidence contract is still only partially standardized. For interview-focused hardening, the project now needs a tighter contract for evidence persistence, no-evidence / failure semantics, and degraded-output behavior.
+
+## Goals
+
+1. Standardize the persisted evidence-tool contract across `lookup_knowledge`, `query_logs`, and `query_metrics`.
+2. Make verifier-facing summaries distinguish failed calls, no-hit calls, deduped retrievals, and actual supporting evidence.
+3. Add offline tests for verifier fallback and degraded-output paths.
+
+## Scope
+
+- `ToolInvocationRecorder`
+- `LookupKnowledgeTool`
+- `QueryLogsTools`
+- `QueryMetricsTools`
+- `ToolTraceSummaryService`
+- `ChatService`
+- Focused offline tests
+
+## Non-Goals
+
+- No new API or schema
+- No evaluation harness yet
+- No trace UI
+- No security/config cleanup
+
+## Related OpenSpec
+
+`openspec/changes/evidence-trace-hardening/`

devflow/projects/2026-07-04-evidence-trace-hardening/decisions.md

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+# Evidence Trace Hardening Decisions
+
+## Clarify
+
+- Entry summary: harden the MVP evidence contract before building the P1-B evaluation harness.
+- Slug: `evidence-trace-hardening`
+- Devflow scale: standard-light
+
+## Context
+
+- `ISS-003` raised verifier traceability and failure-path concerns.
+- Current code inspection shows `QueryLogsTools` and `QueryMetricsTools` already use `ToolInvocationRecorder`, while `LookupKnowledgeTool` still persists rows through a local helper.
+- `ChatService` already contains fallback behavior for missing/invalid `verifier_output`, but coverage is narrow.
+
+## Key Decisions
+
+- Decision: Treat this as a contract-hardening change, not a new feature change.
+  - Reason: The project already has the necessary runtime pieces; the gap is semantic consistency and testability.
+
+- Decision: Keep the scope before P1-B.
+  - Reason: The evaluation harness will rely on stable evidence semantics, so this contract slice should land first.
+
+- Decision: Preserve schema and API stability.
+  - Reason: The interview value here is engineering rigor, not more surface area.

devflow/projects/2026-07-04-evidence-trace-hardening/evidence.md

@@ -0,0 +1,11 @@
+# Evidence Trace Hardening Evidence
+
+## Evidence
+
+| Source | Evidence | Conclusion | Reported |
+|---|---|---|---|
+| `ToolInvocationRecorder` | Provides a common persistence seam for evidence tools | Contract hardening should build on the existing recorder instead of introducing a new store path | Yes |
+| `LookupKnowledgeTool` | Still constructs `ToolInvocation` rows through a local helper | Retrieval-aware evidence persistence is not yet unified with the recorder contract | Yes |
+| `QueryLogsTools` / `QueryMetricsTools` | Already record evidence invocations through `recordEvidenceTool(...)` | Current gap is semantic alignment, not missing persistence | Yes |
+| `ToolTraceSummaryService` | Merges rows by tool and topic domain and infers evidence level heuristically | Summary rules need explicit handling for failure, no-hit, and dedup cases | Yes |
+| `ChatService` | Falls back to `LOW_CONFID` when verifier output is missing or invalid | These degraded paths exist and should now be covered by focused offline tests | Yes |

mvp/issues/ISS-005-evidence-trace-hardening.md

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+# ISS-005 证据链补齐与降级契约收敛
+
+**状态**：进行中（sm-flow）
+**严重程度**：高
+**发现时间**：2026-07-04
+**来源**：P1-A 面试打磨项 / 基于 ISS-003 的当前实现复核
+**关联**：ISS-003（Verifier 证据链、失败路径可验证性）、`chat-verifier-agent`、`mvp-demo-trace-acceptance`
+
+---
+
+## 背景
+
+当前 MVP 已具备：
+
+- `lookup_knowledge`、`query_logs`、`query_metrics` 的工具调用落库
+- Verifier 基于 `tool_trace_summary` 做事实核查
+- `LOW_CONFID` / `REJECT` 的用户侧降级输出
+- trace API 可回放 session、agent_step、tool_invocation 和 self_evaluation
+
+但如果目标是拿这个项目去面试 Agent 工程师，当前实现仍有一个明显短板：
+
+**证据链已经“有了”，但还没有被收敛成清晰、稳定、可测试的工程契约。**
+
+这会直接影响三个面试问题的回答质量：
+
+1. 工具失败时系统会怎样降级？
+2. Verifier 看到的 evidence 到底是否一致、可审计？
+3. 这些失败路径和降级行为有没有稳定测试，而不是只靠 runtime 演示？
+
+---
+
+## 当前现状复核
+
+### 1. 工具落库入口已经存在，但契约不统一
+
+- `QueryLogsTools` 和 `QueryMetricsTools` 通过 `ToolInvocationRecorder.recordEvidenceTool(...)` 记录 evidence tool 调用。
+- `LookupKnowledgeTool` 仍保留独立的 `saveToolInvocation(...)` 路径，自己构造 `ToolInvocation` 实体。
+
+这意味着：
+
+- evidence tool 的公共字段有一套约定
+- knowledge retrieval 又有一套定制字段拼装
+
+两者都能工作，但**没有形成统一的“证据调用记录契约”**。
+
+### 2. 失败 / 无结果 / 去重命中的语义不够显式
+
+当前实现里：
+
+- `query_logs` 未命中时会返回 `success=false` + `"未找到匹配的日志"`
+- `query_metrics` 失败时会返回 `success=false`
+- `lookup_knowledge` 去重命中时会返回 `found=false`，但 `tool_invocation.success=true`
+- `ToolTraceSummaryService` 通过 `success`、`relevanceLevel`、`dedupReason` 等字段做启发式摘要
+
+这些行为在代码里是分散成立的，但**没有被定义成统一契约**，导致：
+
+- Verifier 能看到的“失败”和“无证据”边界不够稳定
+- 评测时难以明确统计哪些是“调用失败”、哪些是“无命中”、哪些是“已检索过”
+
+### 3. ChatService 的降级路径有实现，但测试矩阵不完整
+
+`ChatService` 已处理：
+
+- `verifier_output` 缺失或无法解析 → fallback `LOW_CONFID`
+- `REJECT` → degraded output
+- `LOW_CONFID` → disclaimer output
+
+但目前缺少成体系的专项验证，尤其是：
+
+- Verifier 输出非法 JSON
+- evidence tool 查询失败
+- knowledge lookup 无有效证据
+- fallback 文案是否只基于 verifier 缺口拼装
+
+---
+
+## 影响
+
+- **面试表达弱化**：你能讲“我有 trace”，但还不能很硬地讲“我的失败路径是有契约和测试保护的”。
+- **评测基础不稳**：后续 P1-B 做 case-based harness 时，统计口径会受 evidence 语义不一致影响。
+- **Verifier 可审计性打折**：当前实现可用，但 still relies on code convention，而不是一份明确收敛后的工程协议。
+
+---
+
+## 本 issue 目标
+
+P1-A 只做三件事：
+
+1. 收敛 evidence tool 的落库契约，让 `lookup_knowledge`、`query_logs`、`query_metrics` 的公共语义一致。
+2. 明确失败 / 无证据 / 去重 / verifier 非法输出等降级契约，让 `ToolTraceSummaryService` 和 `ChatService` 面向统一状态工作。
+3. 增加专项离线测试，覆盖证据摘要与关键降级路径。
+
+---
+
+## 范围
+
+### In scope
+
+- `ToolInvocationRecorder` 契约增强
+- `LookupKnowledgeTool` 入库路径收敛
+- `QueryLogsTools` / `QueryMetricsTools` evidence 语义对齐
+- `ToolTraceSummaryService` 对失败 / no-hit / mixed evidence 的摘要规则收敛
+- `ChatService` 对 verifier 非法输出与降级输出的专项测试
+- 与该 change 直接相关的文档、OpenSpec、devflow 记录
+
+### Out of scope
+
+- 不引入新的数据库表或 schema 变更
+- 不扩展新的 evidence tool
+- 不做 P1-B 评测集 / harness
+- 不做前端 trace UI
+- 不处理敏感配置和默认 `mvn test` 离线化
+
+---
+
+## 预期结果
+
+完成后，项目在面试里应能更清楚地表述为：
+
+```text
+我不仅把 Agent 的工具调用落到了库里，
+还把 evidence trace、失败语义和 verifier 降级路径收敛成了稳定契约，
+并用离线测试覆盖了这些关键失败场景。
+```
+
+---
+
+## 相关文件
+
+- `src/main/java/com/superbiz/agent/service/ToolInvocationRecorder.java`
+- `src/main/java/com/superbiz/agent/tool/LookupKnowledgeTool.java`
+- `src/main/java/com/superbiz/agent/agent/tool/QueryLogsTools.java`
+- `src/main/java/com/superbiz/agent/agent/tool/QueryMetricsTools.java`
+- `src/main/java/com/superbiz/agent/service/ToolTraceSummaryService.java`
+- `src/main/java/com/superbiz/agent/service/ChatService.java`
+- `src/test/java/com/superbiz/agent/service/ChatServiceSequentialAgentTest.java`
+- `src/test/java/com/superbiz/agent/tool/LookupKnowledgeToolTest.java`

mvp/issues/README.md

@@ -6,3 +6,4 @@
 | ISS-002 | Executor 无约束重复调用 lookup_knowledge | 中 | 已修复 | [ISS-002-executor-unconstrained-lookup.md](ISS-002-executor-unconstrained-lookup.md) |
 | ISS-003 | MVP 设计与实现 Review 收敛 | 高 | 待规划 | [ISS-003-mvp-design-implementation-review.md](ISS-003-mvp-design-implementation-review.md) |
 | ISS-004 | Executor 域级检索水位控制（Phase 2） | 低 | 待规划 | [ISS-004-executor-domain-hard-limit.md](ISS-004-executor-domain-hard-limit.md) |
+| ISS-005 | 证据链补齐与降级契约收敛 | 高 | 进行中（sm-flow） | [ISS-005-evidence-trace-hardening.md](ISS-005-evidence-trace-hardening.md) |

openspec/changes/archive/2026-07-04-evidence-trace-hardening/.openspec.yaml

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+schema: spec-driven
+created: 2026-07-04

openspec/changes/archive/2026-07-04-evidence-trace-hardening/design.md

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+## Context
+
+The current MVP already has the core pieces required for traceable agent execution:
+
+- `LookupKnowledgeTool` writes rich retrieval metadata into `tool_invocation`
+- `QueryLogsTools` and `QueryMetricsTools` use `ToolInvocationRecorder`
+- `ToolTraceSummaryService` turns persisted rows into verifier-facing evidence summaries
+- `ChatService` already contains fallback behavior for missing or invalid `verifier_output`
+
+The gap is no longer “there is no evidence trace”. The gap is that the evidence trace contract is split across two persistence paths and several implicit conventions:
+
+- `LookupKnowledgeTool` builds `ToolInvocation` rows itself
+- the other evidence tools use `ToolInvocationRecorder.recordEvidenceTool(...)`
+- “failed”, “no evidence”, “deduped”, and “successful but weak” are inferred differently across tools
+- degraded output behavior exists in code but is only lightly covered by tests
+
+For interview-facing hardening, this slice should make those semantics explicit and testable without changing the database schema or the overall multi-agent workflow.
+
+## Goals / Non-Goals
+
+**Goals:**
+- Centralize the common persistence contract for evidence-bearing tools.
+- Preserve `lookup_knowledge`-specific retrieval fields while removing ad hoc duplication in how evidence rows are created.
+- Define stable summarization semantics for:
+  - successful evidence
+  - no-hit / no-usable-evidence
+  - deduped retrievals
+  - failed evidence queries
+- Make `ChatService` fallback and degraded-output paths testable as explicit product behavior.
+- Keep the scope small enough to unblock the next P1-B evaluation harness.
+
+**Non-Goals:**
+- No new table, column, or Flyway migration.
+- No new public API.
+- No new verifier verdict type beyond `PASS` / `LOW_CONFID` / `REJECT`.
+- No attempt to redesign planner/executor routing.
+- No full offline runtime or end-to-end benchmark harness in this slice.
+
+## Decisions
+
+| Decision | Choice | Alternative Considered | Rationale |
+|---|---|---|---|
+| Evidence persistence ownership | Keep `ToolInvocationRecorder` as the single common entry point | Let each tool continue building `ToolInvocation` rows ad hoc | The recorder already exists and is the right seam for contract hardening. |
+| `lookup_knowledge` integration style | Add a richer recorder entry path for retrieval-aware calls | Force `lookup_knowledge` into the same minimal method used by logs/metrics | `lookup_knowledge` carries domain-specific fields such as L0/L1 counts, relevance, dedup reason, and retrieval details that should stay structured. |
+| No-evidence semantics | Distinguish failed calls from successful calls that yield no usable evidence | Collapse all non-successful evidence into one bucket | Verifier and future evaluation harnesses need to separate “tool broke” from “tool succeeded but found nothing useful”. |
+| Degraded-path hardening | Add focused unit tests around verifier fallback and output shaping | Rely on runtime demo only | Interview value comes from proving the system fails predictably, not just that the happy path ran once. |
+| Scope boundary | Keep changes additive and contract-oriented | Expand into P1-B evaluation harness in the same change | This keeps the slice reviewable and avoids mixing infrastructure hardening with evaluation product work. |
+
+## Risks / Trade-offs
+
+- [Risk] Tightening persistence semantics could subtly change existing trace summaries. -> Mitigation: keep field names stable and add regression tests around summary output.
+- [Risk] Over-generalizing the recorder could make retrieval-specific rows less informative. -> Mitigation: keep a retrieval-aware recording path rather than flattening all tools to the same minimal payload.
+- [Risk] Tests may lock in the current fallback copy too aggressively. -> Mitigation: assert protocol-level behavior and key phrases, not brittle full-string snapshots.
+- [Risk] `lookup_knowledge` dedup semantics are product-specific and may not fit generic “success/failure” labels cleanly. -> Mitigation: preserve `dedupReason` and treat dedup as a first-class no-new-evidence case in summary logic.
+
+## Migration Plan
+
+- No deployment migration is required beyond shipping the code changes.
+- Existing `tool_invocation` rows remain valid because this change reuses the same schema.
+- Rollback is code-only: revert the recorder/summary/fallback hardening and keep the persisted rows as-is.
+
+## Open Questions
+
+- Should P1-B metrics count deduped retrievals as “no-evidence”, or report them as a separate category? This change will preserve enough structure to decide later without another schema change.

openspec/changes/archive/2026-07-04-evidence-trace-hardening/proposal.md

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+## Why
+
+The MVP already persists evidence tool invocations and uses a Verifier to judge answer quality, but the current evidence trace semantics are still only partially standardized. For interview-grade agent engineering, the system needs a tighter contract for evidence persistence, no-evidence/failure states, and degraded output behavior, plus focused tests that prove those paths work offline.
+
+## What Changes
+
+- Standardize the persisted evidence-tool contract across `lookup_knowledge`, `query_logs`, and `query_metrics`.
+- Align how evidence tools represent success, no-hit, deduped, and failed calls so `ToolTraceSummaryService` can summarize them consistently.
+- Harden `ChatService` fallback behavior for invalid or missing verifier output and make the degraded-output paths explicitly testable.
+- Add focused offline tests for evidence recording, trace summarization, and verifier fallback / degraded output behavior.
+- Record this slice as a dedicated P1-A change tied to the interview-focused MVP hardening track.
+
+## Capabilities
+
+### New Capabilities
+- `evidence-trace-hardening`: Covers standardized evidence invocation persistence, verifier-facing evidence summary semantics, and explicit degraded-output contracts for evidence gaps and verifier failures.
+
+### Modified Capabilities
+- `chat-verifier-agent`: Tightens verifier input evidence semantics and fallback guarantees without changing the high-level planner/executor/verifier workflow.
+
+## Impact
+
+- Affected code: `ToolInvocationRecorder`, `LookupKnowledgeTool`, `QueryLogsTools`, `QueryMetricsTools`, `ToolTraceSummaryService`, `ChatService`, and focused test classes.
+- Affected runtime behavior: evidence-bearing tools will persist more consistent invocation semantics; verifier fallback and degraded outputs remain additive hardening, not a product-flow rewrite.
+- Affected APIs: none. No new endpoint or schema is introduced.
+- Non-goals: no new evidence tools, no database migration, no evaluation harness, no trace UI, no security/config cleanup in this slice.

openspec/changes/archive/2026-07-04-evidence-trace-hardening/specs/chat-verifier-agent/spec.md

@@ -0,0 +1,14 @@
+## ADDED Requirements
+
+### Requirement: Verifier inputs SHALL tolerate hardened no-evidence semantics
+The verifier integration SHALL continue to work when evidence summaries distinguish failed calls, no-hit calls, and deduped retrievals more explicitly.
+
+#### Scenario: Failed evidence remains a verifier-visible gap
+- **WHEN** an evidence-bearing tool invocation fails
+- **THEN** the verifier-facing trace summary SHALL preserve that failure as a gap
+- **AND** the verifier flow SHALL continue without crashing
+
+#### Scenario: Deduped retrievals do not count as fresh support
+- **WHEN** the verifier-facing trace summary contains deduped `lookup_knowledge` entries
+- **THEN** those entries SHALL be treated as no-new-evidence
+- **AND** they SHALL NOT be interpreted as fresh direct support for the answer

openspec/changes/archive/2026-07-04-evidence-trace-hardening/specs/evidence-trace-hardening/spec.md

@@ -0,0 +1,82 @@
+## ADDED Requirements
+
+### Requirement: Evidence-bearing tools SHALL persist a unified invocation contract
+The system SHALL persist evidence-bearing tool calls through a unified contract that guarantees the same baseline fields across `lookup_knowledge`, `query_logs`, and `query_metrics`.
+
+#### Scenario: Common evidence fields are always persisted
+- **WHEN** an evidence-bearing tool finishes a call
+- **THEN** the persisted `tool_invocation` row SHALL include `session_id`, `tool_name`, `input_params`, `duration_ms`, `success`, and an output preview or explicit no-output state
+
+#### Scenario: Retrieval-aware tools preserve structured retrieval fields
+- **WHEN** `lookup_knowledge` persists a tool invocation
+- **THEN** the row SHALL preserve retrieval-specific fields such as retrieval layer, L0/L1 counts, relevance level, dedup reason, and retrieval details
+- **AND** those fields SHALL be written through the same recorder contract rather than by ad hoc row construction in unrelated code paths
+
+### Requirement: Evidence trace semantics SHALL distinguish failure from no-evidence outcomes
+The system SHALL keep failed calls separate from successful calls that return no usable evidence.
+
+#### Scenario: Tool failure is preserved as failure
+- **WHEN** an evidence-bearing tool throws, times out, or returns an execution error
+- **THEN** the persisted row SHALL set `success=false`
+- **AND** it SHALL preserve an `error_message` explaining the failure
+
+#### Scenario: No usable evidence is preserved without pretending success
+- **WHEN** an evidence-bearing tool completes normally but yields no usable evidence for the verifier
+- **THEN** the persisted contract SHALL preserve that the call completed
+- **AND** the verifier-facing summary SHALL describe it as a no-evidence outcome rather than direct support
+
+#### Scenario: Deduped retrieval remains auditable
+- **WHEN** `lookup_knowledge` is blocked by session-level deduplication
+- **THEN** the persisted row SHALL preserve the dedup reason
+- **AND** the verifier-facing summary SHALL treat that row as no-new-evidence rather than as a fresh supporting hit
+
+### Requirement: Verifier-facing evidence summaries SHALL use stable no-evidence rules
+The system SHALL summarize persisted tool rows into verifier-facing evidence entries using stable rules for success, failure, no-hit, and deduped outcomes.
+
+#### Scenario: Failed evidence calls remain visible in the summary
+- **WHEN** `ToolTraceSummaryService` processes failed evidence-bearing tool rows
+- **THEN** the summary SHALL retain them
+- **AND** it SHALL mark them as unsuccessful evidence with an output summary that explains the gap
+
+#### Scenario: No-hit and deduped calls do not upgrade evidence level
+- **WHEN** `ToolTraceSummaryService` processes rows that returned no usable evidence or were deduped
+- **THEN** those rows SHALL NOT be promoted to direct or indirect evidence
+- **AND** their counts SHALL still be reflected in the merged summary entry
+
+#### Scenario: Successful evidence keeps the strongest available support
+- **WHEN** multiple rows for the same tool and topic domain are merged
+- **THEN** the summary SHALL preserve the strongest successful evidence level among them
+- **AND** it SHALL also retain repeated-call, failed-call, and no-hit counts for auditability
+
+### Requirement: ChatService SHALL degrade predictably on verifier output failures
+The system SHALL treat missing or invalid verifier output as a bounded degraded path instead of an unstructured runtime error.
+
+#### Scenario: Missing verifier output falls back to LOW_CONFID
+- **WHEN** the verifier step completes without a usable `verifier_output`
+- **THEN** `ChatService` SHALL fall back to a `LOW_CONFID` decision
+- **AND** the final user-facing output SHALL use the fixed low-confidence protocol
+
+#### Scenario: Invalid verifier JSON falls back to LOW_CONFID
+- **WHEN** the verifier returns malformed or non-parseable JSON
+- **THEN** `ChatService` SHALL fall back to a `LOW_CONFID` decision
+- **AND** the fallback SHALL still persist a verifier-evaluation record
+
+#### Scenario: REJECT output hides unverified raw answer text
+- **WHEN** the final verifier decision is `REJECT`
+- **THEN** the user-facing output SHALL use the degraded template
+- **AND** it SHALL NOT pass through the raw executor answer
+
+### Requirement: Evidence-trace hardening SHALL be covered by focused offline tests
+The system SHALL provide offline tests for the hardened evidence contract and degraded-output behavior.
+
+#### Scenario: Evidence recorder contract is tested offline
+- **WHEN** the test suite runs the focused recorder tests
+- **THEN** it SHALL verify the persisted semantics for successful, failed, and no-evidence evidence-tool calls without requiring external infrastructure
+
+#### Scenario: Trace summary hardening is tested offline
+- **WHEN** the test suite runs the focused trace-summary tests
+- **THEN** it SHALL verify merged summary behavior for mixed success, failure, no-hit, and deduped tool rows
+
+#### Scenario: Verifier fallback behavior is tested offline
+- **WHEN** the test suite runs the focused `ChatService` fallback tests
+- **THEN** it SHALL verify the missing-output, invalid-JSON, `LOW_CONFID`, and `REJECT` degraded paths without requiring a real LLM or database

openspec/changes/archive/2026-07-04-evidence-trace-hardening/tasks.md

@@ -0,0 +1,22 @@
+## 1. Evidence Persistence Contract
+
+- [x] 1.1 Extend `ToolInvocationRecorder` with a richer evidence-recording path that can preserve retrieval-aware fields as well as common evidence fields.
+- [x] 1.2 Refactor `LookupKnowledgeTool` to persist `tool_invocation` rows through `ToolInvocationRecorder` instead of its own ad hoc row-construction path.
+- [x] 1.3 Align `QueryLogsTools` and `QueryMetricsTools` no-hit / failure payloads with the hardened evidence contract.
+
+## 2. Verifier-Facing Summary Semantics
+
+- [x] 2.1 Harden `ToolTraceSummaryService` so failed, no-hit, and deduped evidence rows are summarized with stable no-evidence semantics.
+- [x] 2.2 Preserve merged-call counts for repeated hits, failures, and no-new-evidence rows without overstating evidence strength.
+
+## 3. Chat Degraded Paths
+
+- [x] 3.1 Add focused `ChatService` tests for missing verifier output fallback to `LOW_CONFID`.
+- [x] 3.2 Add focused `ChatService` tests for invalid verifier JSON fallback to `LOW_CONFID`.
+- [x] 3.3 Add focused `ChatService` tests that `REJECT` output uses the degraded template and does not leak raw executor answer content.
+
+## 4. Verification
+
+- [x] 4.1 Add focused offline tests for the recorder contract and `ToolTraceSummaryService`.
+- [x] 4.2 Run targeted test commands for the new/updated offline tests.
+- [x] 4.3 Run compile verification.

openspec/specs/chat-verifier-agent/spec.md

@@ -190,3 +190,17 @@ Verifier facts SHALL be linkable to the evidence summaries used during verificat
 - **WHEN** the ChatService persists `verifier_evaluation`
 - **THEN** it SHALL include `traceability_version`
 - **AND** it SHALL include the `tool_trace_summary` snapshot used by the Verifier
+
+### Requirement: Verifier inputs SHALL tolerate hardened no-evidence semantics
+The verifier integration SHALL continue to work when evidence summaries distinguish failed calls, no-hit calls, and deduped retrievals more explicitly.
+
+#### Scenario: Failed evidence remains a verifier-visible gap
+- **WHEN** an evidence-bearing tool invocation fails
+- **THEN** the verifier-facing trace summary SHALL preserve that failure as a gap
+- **AND** the verifier flow SHALL continue without crashing
+
+#### Scenario: Deduped retrievals do not count as fresh support
+- **WHEN** the verifier-facing trace summary contains deduped `lookup_knowledge` entries
+- **THEN** those entries SHALL be treated as no-new-evidence
+- **AND** they SHALL NOT be interpreted as fresh direct support for the answer
+

openspec/specs/evidence-trace-hardening/spec.md

@@ -0,0 +1,86 @@
+# evidence-trace-hardening Specification
+
+## Purpose
+TBD - created by archiving change evidence-trace-hardening. Update Purpose after archive.
+## Requirements
+### Requirement: Evidence-bearing tools SHALL persist a unified invocation contract
+The system SHALL persist evidence-bearing tool calls through a unified contract that guarantees the same baseline fields across `lookup_knowledge`, `query_logs`, and `query_metrics`.
+
+#### Scenario: Common evidence fields are always persisted
+- **WHEN** an evidence-bearing tool finishes a call
+- **THEN** the persisted `tool_invocation` row SHALL include `session_id`, `tool_name`, `input_params`, `duration_ms`, `success`, and an output preview or explicit no-output state
+
+#### Scenario: Retrieval-aware tools preserve structured retrieval fields
+- **WHEN** `lookup_knowledge` persists a tool invocation
+- **THEN** the row SHALL preserve retrieval-specific fields such as retrieval layer, L0/L1 counts, relevance level, dedup reason, and retrieval details
+- **AND** those fields SHALL be written through the same recorder contract rather than by ad hoc row construction in unrelated code paths
+
+### Requirement: Evidence trace semantics SHALL distinguish failure from no-evidence outcomes
+The system SHALL keep failed calls separate from successful calls that return no usable evidence.
+
+#### Scenario: Tool failure is preserved as failure
+- **WHEN** an evidence-bearing tool throws, times out, or returns an execution error
+- **THEN** the persisted row SHALL set `success=false`
+- **AND** it SHALL preserve an `error_message` explaining the failure
+
+#### Scenario: No usable evidence is preserved without pretending success
+- **WHEN** an evidence-bearing tool completes normally but yields no usable evidence for the verifier
+- **THEN** the persisted contract SHALL preserve that the call completed
+- **AND** the verifier-facing summary SHALL describe it as a no-evidence outcome rather than direct support
+
+#### Scenario: Deduped retrieval remains auditable
+- **WHEN** `lookup_knowledge` is blocked by session-level deduplication
+- **THEN** the persisted row SHALL preserve the dedup reason
+- **AND** the verifier-facing summary SHALL treat that row as no-new-evidence rather than as a fresh supporting hit
+
+### Requirement: Verifier-facing evidence summaries SHALL use stable no-evidence rules
+The system SHALL summarize persisted tool rows into verifier-facing evidence entries using stable rules for success, failure, no-hit, and deduped outcomes.
+
+#### Scenario: Failed evidence calls remain visible in the summary
+- **WHEN** `ToolTraceSummaryService` processes failed evidence-bearing tool rows
+- **THEN** the summary SHALL retain them
+- **AND** it SHALL mark them as unsuccessful evidence with an output summary that explains the gap
+
+#### Scenario: No-hit and deduped calls do not upgrade evidence level
+- **WHEN** `ToolTraceSummaryService` processes rows that returned no usable evidence or were deduped
+- **THEN** those rows SHALL NOT be promoted to direct or indirect evidence
+- **AND** their counts SHALL still be reflected in the merged summary entry
+
+#### Scenario: Successful evidence keeps the strongest available support
+- **WHEN** multiple rows for the same tool and topic domain are merged
+- **THEN** the summary SHALL preserve the strongest successful evidence level among them
+- **AND** it SHALL also retain repeated-call, failed-call, and no-hit counts for auditability
+
+### Requirement: ChatService SHALL degrade predictably on verifier output failures
+The system SHALL treat missing or invalid verifier output as a bounded degraded path instead of an unstructured runtime error.
+
+#### Scenario: Missing verifier output falls back to LOW_CONFID
+- **WHEN** the verifier step completes without a usable `verifier_output`
+- **THEN** `ChatService` SHALL fall back to a `LOW_CONFID` decision
+- **AND** the final user-facing output SHALL use the fixed low-confidence protocol
+
+#### Scenario: Invalid verifier JSON falls back to LOW_CONFID
+- **WHEN** the verifier returns malformed or non-parseable JSON
+- **THEN** `ChatService` SHALL fall back to a `LOW_CONFID` decision
+- **AND** the fallback SHALL still persist a verifier-evaluation record
+
+#### Scenario: REJECT output hides unverified raw answer text
+- **WHEN** the final verifier decision is `REJECT`
+- **THEN** the user-facing output SHALL use the degraded template
+- **AND** it SHALL NOT pass through the raw executor answer
+
+### Requirement: Evidence-trace hardening SHALL be covered by focused offline tests
+The system SHALL provide offline tests for the hardened evidence contract and degraded-output behavior.
+
+#### Scenario: Evidence recorder contract is tested offline
+- **WHEN** the test suite runs the focused recorder tests
+- **THEN** it SHALL verify the persisted semantics for successful, failed, and no-evidence evidence-tool calls without requiring external infrastructure
+
+#### Scenario: Trace summary hardening is tested offline
+- **WHEN** the test suite runs the focused trace-summary tests
+- **THEN** it SHALL verify merged summary behavior for mixed success, failure, no-hit, and deduped tool rows
+
+#### Scenario: Verifier fallback behavior is tested offline
+- **WHEN** the test suite runs the focused `ChatService` fallback tests
+- **THEN** it SHALL verify the missing-output, invalid-JSON, `LOW_CONFID`, and `REJECT` degraded paths without requiring a real LLM or database
+

src/main/java/com/superbiz/agent/agent/tool/QueryLogsTools.java

@@ -131,13 +131,15 @@ public class QueryLogsTools {
             output.setMessage(String.format("共有 %d 个可用的日志主题。建议使用默认地域 'ap-guangzhou' 或省略 region 参数", topics.size()));
             
             String response = objectMapper.writerWithDefaultPrettyPrinter().writeValueAsString(output);
-            recordInvocation(startTime, "get_available_log_topics", null, null, null, response, true, null, "logs");
+            recordInvocation("get_available_log_topics", startTime, "get_available_log_topics", null, null, null,
+                    response, true, null, "logs", ToolInvocationRecorder.EVIDENCE_STATUS_SUPPORTED);
             return response;
             
         } catch (Exception e) {
             logger.error("获取日志主题列表失败", e);
             String response = "{\"success\":false,\"message\":\"获取日志主题列表失败: " + e.getMessage() + "\"}";
-            recordInvocation(startTime, "get_available_log_topics", null, null, null, response, false, e.getMessage(), "logs");
+            recordInvocation("get_available_log_topics", startTime, "get_available_log_topics", null, null, null,
+                    response, false, e.getMessage(), "logs", ToolInvocationRecorder.EVIDENCE_STATUS_FAILED);
             return response;
         }
     }
@@ -191,8 +193,9 @@ public class QueryLogsTools {
             } else {
                 // 真实模式：调用 CLS API（这里预留接口，后续实现）
                 String response = buildErrorResponse("CLS 真实查询尚未实现，请启用 mock 模式进行测试");
-                recordInvocation(startTime, safeQuery, region, logTopic, actualLimit, response, false,
+                recordInvocation("query_logs", startTime, safeQuery, region, logTopic, actualLimit, response, false,
-                        "CLS 真实查询尚未实现，请启用 mock 模式进行测试", normalizeTopicDomain(logTopic));
+                        "CLS 真实查询尚未实现，请启用 mock 模式进行测试", normalizeTopicDomain(logTopic),
+                        ToolInvocationRecorder.EVIDENCE_STATUS_FAILED);
                 return response;
             }
             
@@ -208,23 +211,26 @@ public class QueryLogsTools {
             
             String jsonResult = objectMapper.writerWithDefaultPrettyPrinter().writeValueAsString(output);
             logger.info("日志查询完成: 找到 {} 条日志", logEntries.size());
-            recordInvocation(startTime, safeQuery, region, logTopic, actualLimit, jsonResult,
+            recordInvocation("query_logs", startTime, safeQuery, region, logTopic, actualLimit, jsonResult,
-                    !logEntries.isEmpty(), logEntries.isEmpty() ? "未找到匹配的日志" : null,
+                    true, null, normalizeTopicDomain(logTopic),
-                    normalizeTopicDomain(logTopic));
+                    logEntries.isEmpty()
+                            ? ToolInvocationRecorder.EVIDENCE_STATUS_NO_EVIDENCE
+                            : ToolInvocationRecorder.EVIDENCE_STATUS_SUPPORTED);
             
             return jsonResult;
             
         } catch (Exception e) {
             logger.error("查询日志失败", e);
             String response = buildErrorResponse("查询失败: " + e.getMessage());
-            recordInvocation(startTime, safeQuery, region, logTopic, actualLimit, response, false,
+            recordInvocation("query_logs", startTime, safeQuery, region, logTopic, actualLimit, response, false,
-                    e.getMessage(), normalizeTopicDomain(logTopic));
+                    e.getMessage(), normalizeTopicDomain(logTopic), ToolInvocationRecorder.EVIDENCE_STATUS_FAILED);
             return response;
         }
     }
 
-    private void recordInvocation(long startTime, String query, String region, String logTopic, Integer limit,
+    private void recordInvocation(String toolName, long startTime, String query, String region, String logTopic, Integer limit,
-                                  String output, boolean success, String errorMessage, String topicDomain) {
+                                  String output, boolean success, String errorMessage, String topicDomain,
+                                  String evidenceStatus) {
         Map<String, Object> input = new HashMap<>();
         input.put("query", query == null || query.isBlank() ? "DEFAULT_QUERY" : query);
         if (region != null) {
@@ -239,13 +245,15 @@ public class QueryLogsTools {
         input.put("mock_enabled", mockEnabled);
 
         toolInvocationRecorder.recordEvidenceTool(
-                "query_logs",
+                toolName,
                 input,
                 output,
                 success,
                 startTime,
                 errorMessage,
-                topicDomain
+                topicDomain,
+                evidenceStatus,
+                Map.of("log_topic", logTopic == null ? "" : logTopic)
         );
     }
 

src/main/java/com/superbiz/agent/agent/tool/QueryMetricsTools.java

@@ -81,7 +81,7 @@ public class QueryMetricsTools {
                 
                 if (!"success".equals(result.getStatus())) {
                     String response = buildErrorResponse("Prometheus API 返回非成功状态: " + result.getStatus(), result.getError());
-                    recordInvocation(startTime, response, false, result.getError());
+                    recordInvocation(startTime, response, false, result.getError(), ToolInvocationRecorder.EVIDENCE_STATUS_FAILED);
                     return response;
                 }
                 
@@ -119,19 +119,22 @@ public class QueryMetricsTools {
             
             String jsonResult = objectMapper.writerWithDefaultPrettyPrinter().writeValueAsString(output);
             logger.info("Prometheus 告警查询完成: 找到 {} 个告警", simplifiedAlerts.size());
-            recordInvocation(startTime, jsonResult, true, null);
+            recordInvocation(startTime, jsonResult, true, null,
+                    simplifiedAlerts.isEmpty()
+                            ? ToolInvocationRecorder.EVIDENCE_STATUS_NO_EVIDENCE
+                            : ToolInvocationRecorder.EVIDENCE_STATUS_SUPPORTED);
             
             return jsonResult;
             
         } catch (Exception e) {
             logger.error("查询 Prometheus 告警失败", e);
             String response = buildErrorResponse("查询失败", e.getMessage());
-            recordInvocation(startTime, response, false, e.getMessage());
+            recordInvocation(startTime, response, false, e.getMessage(), ToolInvocationRecorder.EVIDENCE_STATUS_FAILED);
             return response;
         }
     }
 
-    private void recordInvocation(long startTime, String output, boolean success, String errorMessage) {
+    private void recordInvocation(long startTime, String output, boolean success, String errorMessage, String evidenceStatus) {
         toolInvocationRecorder.recordEvidenceTool(
                 "query_metrics",
                 Map.of("query", "active_prometheus_alerts", "mock_enabled", mockEnabled),
@@ -139,7 +142,9 @@ public class QueryMetricsTools {
                 success,
                 startTime,
                 errorMessage,
-                "prometheus_alerts"
+                "prometheus_alerts",
+                evidenceStatus,
+                Map.of("metric_family", "prometheus_alerts")
         );
     }
     

src/main/java/com/superbiz/agent/service/ToolInvocationRecorder.java

@@ -3,11 +3,16 @@ package com.superbiz.agent.service;
 import com.fasterxml.jackson.core.JsonProcessingException;
 import com.fasterxml.jackson.databind.ObjectMapper;
 import com.superbiz.agent.domain.entity.ToolInvocation;
+import com.superbiz.agent.dto.LookupResult;
 import com.superbiz.agent.repository.ToolInvocationRepository;
+import com.superbiz.agent.dto.KnowledgeEntry;
+import com.superbiz.agent.service.VectorSearchService;
 import com.superbiz.agent.util.SessionContextHolder;
+import lombok.Builder;
 import lombok.extern.slf4j.Slf4j;
 import org.springframework.stereotype.Service;
 
+import java.util.ArrayList;
 import java.util.LinkedHashMap;
 import java.util.List;
 import java.util.Map;
@@ -21,6 +26,10 @@ import java.util.UUID;
 public class ToolInvocationRecorder {
 
     private static final int OUTPUT_PREVIEW_LIMIT = 500;
+    public static final String EVIDENCE_STATUS_SUPPORTED = "supported";
+    public static final String EVIDENCE_STATUS_NO_EVIDENCE = "no_evidence";
+    public static final String EVIDENCE_STATUS_DEDUPED = "deduped";
+    public static final String EVIDENCE_STATUS_FAILED = "failed";
 
     private final ToolInvocationRepository toolInvocationRepository;
     private final ObjectMapper objectMapper;
@@ -52,12 +61,29 @@ public class ToolInvocationRecorder {
                                    long startTimeMillis,
                                    String errorMessage,
                                    String topicDomain) {
+        recordEvidenceTool(toolName, inputParams, output, success, startTimeMillis, errorMessage, topicDomain,
+                success ? EVIDENCE_STATUS_SUPPORTED : EVIDENCE_STATUS_FAILED, Map.of());
+    }
+
+    public void recordEvidenceTool(String toolName,
+                                   Map<String, Object> inputParams,
+                                   String output,
+                                   boolean success,
+                                   long startTimeMillis,
+                                   String errorMessage,
+                                   String topicDomain,
+                                   String evidenceStatus,
+                                   Map<String, Object> extraDetails) {
         String outputPreview = preview(output);
         Map<String, Object> details = new LinkedHashMap<>();
         details.put("trace_id", UUID.randomUUID().toString());
         if (topicDomain != null && !topicDomain.isBlank()) {
             details.put("retrieved_domains", List.of(topicDomain));
         }
+        details.put("evidence_status", normalizeEvidenceStatus(success, evidenceStatus));
+        if (extraDetails != null && !extraDetails.isEmpty()) {
+            details.putAll(extraDetails);
+        }
 
         ToolInvocation invocation = ToolInvocation.builder()
                 .toolName(toolName)
@@ -73,6 +99,67 @@ public class ToolInvocationRecorder {
         save(invocation);
     }
 
+    public void recordLookupKnowledge(LookupKnowledgeRecord record) {
+        Map<String, Object> details = new LinkedHashMap<>();
+        details.put("trace_id", UUID.randomUUID().toString());
+        if (record.l0MatchCount() != null) {
+            details.put("l0_match_count", record.l0MatchCount());
+        }
+        if (record.l0Titles() != null && !record.l0Titles().isEmpty()) {
+            details.put("l0_titles", record.l0Titles());
+        }
+        if (record.l1TopScore() != null) {
+            details.put("l1_top_score", record.l1TopScore());
+        }
+        if (record.l1TopSimilarity() != null) {
+            details.put("l1_top_similarity", record.l1TopSimilarity());
+        }
+        if (record.l1MatchCount() != null) {
+            details.put("l1_match_count", record.l1MatchCount());
+        }
+        if (record.l1Scores() != null && !record.l1Scores().isEmpty()) {
+            details.put("l1_scores", record.l1Scores());
+        }
+        if (record.relevanceLevel() != null) {
+            details.put("relevance_level", record.relevanceLevel());
+        }
+        if (record.completenessHint() != null) {
+            details.put("completeness_hint", record.completenessHint());
+        }
+        if (record.domain() != null && !record.domain().isBlank()) {
+            details.put("retrieved_domains", List.of(record.domain()));
+        }
+        if (record.dedupReason() != null) {
+            details.put("dedup_reason", record.dedupReason());
+        }
+        details.put("evidence_status", normalizeEvidenceStatus(record.success(), record.evidenceStatus()));
+
+        ToolInvocation invocation = ToolInvocation.builder()
+                .toolName("lookup_knowledge")
+                .inputParams(toJson(Map.of("query", record.query())))
+                .outputPreview(preview(record.outputPreview()))
+                .outputLength(record.outputLength())
+                .retrievalLayer(record.retrievalLayer())
+                .l0MatchCount(record.l0MatchCount())
+                .l1MatchCount(record.l1MatchCount())
+                .isTruncated(Boolean.TRUE.equals(record.truncated()))
+                .retrievalDetails(toJson(details))
+                .relevanceLevel(record.relevanceLevel())
+                .dedupReason(record.dedupReason())
+                .durationMs(record.durationMs())
+                .success(record.success())
+                .errorMessage(record.errorMessage())
+                .build();
+        save(invocation);
+    }
+
+    private String normalizeEvidenceStatus(boolean success, String evidenceStatus) {
+        if (evidenceStatus != null && !evidenceStatus.isBlank()) {
+            return evidenceStatus;
+        }
+        return success ? EVIDENCE_STATUS_SUPPORTED : EVIDENCE_STATUS_FAILED;
+    }
+
     private String preview(String output) {
         if (output == null) {
             return null;
@@ -90,4 +177,105 @@ public class ToolInvocationRecorder {
             return "{}";
         }
     }
+
+    @Builder
+    public record LookupKnowledgeRecord(
+            String query,
+            String outputPreview,
+            Integer outputLength,
+            String retrievalLayer,
+            Integer l0MatchCount,
+            Integer l1MatchCount,
+            Boolean truncated,
+            String relevanceLevel,
+            String completenessHint,
+            String domain,
+            String dedupReason,
+            Integer durationMs,
+            boolean success,
+            String evidenceStatus,
+            String errorMessage,
+            List<String> l0Titles,
+            Double l1TopScore,
+            Double l1TopSimilarity,
+            List<Double> l1Scores
+    ) {
+        public static LookupKnowledgeRecord from(String query,
+                                                 List<KnowledgeEntry> l0Matches,
+                                                 List<VectorSearchService.SearchResult> l1Results,
+                                                 boolean highConfidence,
+                                                 LookupResult result,
+                                                 String domain,
+                                                 String dedupReason,
+                                                 int durationMs,
+                                                 double l1TopSimilarity) {
+            boolean hasL0 = l0Matches != null && !l0Matches.isEmpty();
+            boolean hasL1 = l1Results != null && !l1Results.isEmpty();
+            String layer;
+            if (hasL0 && !highConfidence) {
+                layer = "L0+L1";
+            } else if (hasL0) {
+                layer = "L0";
+            } else if (hasL1) {
+                layer = "L1";
+            } else {
+                layer = null;
+            }
+
+            String outputPreview = null;
+            int outputLength = 0;
+            boolean truncated = false;
+            if (result != null && result.getPrimary() != null && result.getPrimary().getContent() != null) {
+                outputPreview = result.getPrimary().getContent();
+                outputLength = outputPreview.length();
+                truncated = outputLength > OUTPUT_PREVIEW_LIMIT;
+            } else if (hasL1 && l1Results.get(0).getContent() != null) {
+                outputPreview = l1Results.get(0).getContent();
+                outputLength = outputPreview.length();
+                truncated = outputLength > OUTPUT_PREVIEW_LIMIT;
+            }
+
+            String evidenceStatus = EVIDENCE_STATUS_SUPPORTED;
+            if (dedupReason != null) {
+                evidenceStatus = EVIDENCE_STATUS_DEDUPED;
+            } else if (result == null || !result.isFound()) {
+                evidenceStatus = EVIDENCE_STATUS_NO_EVIDENCE;
+            }
+
+            List<String> l0Titles = new ArrayList<>();
+            if (hasL0) {
+                for (int i = 0; i < Math.min(3, l0Matches.size()); i++) {
+                    l0Titles.add(l0Matches.get(i).getTitle());
+                }
+            }
+
+            List<Double> l1Scores = new ArrayList<>();
+            if (hasL1) {
+                for (int i = 0; i < Math.min(3, l1Results.size()); i++) {
+                    l1Scores.add((double) l1Results.get(i).getScore());
+                }
+            }
+
+            return LookupKnowledgeRecord.builder()
+                    .query(query)
+                    .outputPreview(outputPreview)
+                    .outputLength(outputLength)
+                    .retrievalLayer(layer)
+                    .l0MatchCount(hasL0 ? l0Matches.size() : null)
+                    .l1MatchCount(hasL1 ? l1Results.size() : null)
+                    .truncated(truncated)
+                    .relevanceLevel(result != null ? result.getRelevanceLevel() : null)
+                    .completenessHint(result != null ? result.getCompletenessHint() : null)
+                    .domain(domain)
+                    .dedupReason(dedupReason)
+                    .durationMs(durationMs)
+                    .success(true)
+                    .evidenceStatus(evidenceStatus)
+                    .l0Titles(l0Titles)
+                    .l1TopScore(hasL1 ? (double) l1Results.get(0).getScore() : null)
+                    .l1TopSimilarity(hasL1 ? l1TopSimilarity : null)
+                    .l1Scores(l1Scores)
+                    .build();
+        }
+    }
 }

src/main/java/com/superbiz/agent/service/ToolTraceSummaryService.java

@@ -107,6 +107,7 @@ public class ToolTraceSummaryService {
     }
 
     private String extractOutputSummary(ToolInvocation invocation, String topicDomain) {
+        String evidenceStatus = extractEvidenceStatus(invocation);
         if (!Boolean.TRUE.equals(invocation.getSuccess())) {
             if (invocation.getErrorMessage() != null && !invocation.getErrorMessage().isBlank()) {
                 return "call failed: " + truncate(invocation.getErrorMessage(), 120);
@@ -114,6 +115,17 @@ public class ToolTraceSummaryService {
             return "no usable evidence returned";
         }
 
+        if (ToolInvocationRecorder.EVIDENCE_STATUS_DEDUPED.equals(evidenceStatus)) {
+            return "retrieval skipped because the same document was already used in this session";
+        }
+
+        if (ToolInvocationRecorder.EVIDENCE_STATUS_NO_EVIDENCE.equals(evidenceStatus)) {
+            if (invocation.getOutputPreview() != null && !invocation.getOutputPreview().isBlank()) {
+                return "completed without usable evidence: " + truncate(invocation.getOutputPreview(), 120);
+            }
+            return "completed without usable evidence";
+        }
+
         if ("lookup_knowledge".equals(invocation.getToolName())) {
             String relevance = invocation.getRelevanceLevel() != null ? invocation.getRelevanceLevel() : "UNKNOWN";
             String preview = invocation.getOutputPreview() != null && !invocation.getOutputPreview().isBlank()
@@ -129,18 +141,46 @@ public class ToolTraceSummaryService {
     }
 
     private String determineEvidenceLevel(ToolInvocation invocation) {
+        String evidenceStatus = extractEvidenceStatus(invocation);
         if (!Boolean.TRUE.equals(invocation.getSuccess())) {
             return "none";
         }
+        if (ToolInvocationRecorder.EVIDENCE_STATUS_NO_EVIDENCE.equals(evidenceStatus)
+                || ToolInvocationRecorder.EVIDENCE_STATUS_DEDUPED.equals(evidenceStatus)) {
+            return "none";
+        }
         if ("PRECISE".equals(invocation.getRelevanceLevel()) || "HIGHLY_RELEVANT".equals(invocation.getRelevanceLevel())) {
             return "direct";
         }
         if ("REFERENCE".equals(invocation.getRelevanceLevel())) {
             return "indirect";
         }
+        if (EVIDENCE_TOOLS.contains(invocation.getToolName())) {
+            return "direct";
+        }
         return "none";
     }
 
+    private String extractEvidenceStatus(ToolInvocation invocation) {
+        if (invocation.getRetrievalDetails() == null || invocation.getRetrievalDetails().isBlank()) {
+            return Boolean.TRUE.equals(invocation.getSuccess())
+                    ? ToolInvocationRecorder.EVIDENCE_STATUS_SUPPORTED
+                    : ToolInvocationRecorder.EVIDENCE_STATUS_FAILED;
+        }
+        try {
+            Map<String, Object> details = objectMapper.readValue(invocation.getRetrievalDetails(), MAP_TYPE);
+            Object evidenceStatus = details.get("evidence_status");
+            if (evidenceStatus != null) {
+                return String.valueOf(evidenceStatus);
+            }
+        } catch (Exception e) {
+            log.debug("Failed to parse evidence_status", e);
+        }
+        return Boolean.TRUE.equals(invocation.getSuccess())
+                ? ToolInvocationRecorder.EVIDENCE_STATUS_SUPPORTED
+                : ToolInvocationRecorder.EVIDENCE_STATUS_FAILED;
+    }
+
     private List<String> extractStringList(Object value) {
         if (!(value instanceof List<?> list) || list.isEmpty()) {
             return List.of();
@@ -224,13 +264,22 @@ public class ToolTraceSummaryService {
                 inputSummary = extractInputSummary(invocation);
             }
 
-            boolean invocationSuccess = Boolean.TRUE.equals(invocation.getSuccess());
+            String evidenceStatus = extractEvidenceStatus(invocation);
-            if (!invocationSuccess) {
+            if (!Boolean.TRUE.equals(invocation.getSuccess())) {
                 failedCount++;
+                if (outputSummary == null || outputSummary.isBlank()) {
+                    outputSummary = extractOutputSummary(invocation, topicDomain);
+                }
                 return;
             }
-            if (invocation.getDedupReason() != null) {
+
+            if (ToolInvocationRecorder.EVIDENCE_STATUS_NO_EVIDENCE.equals(evidenceStatus)
+                    || ToolInvocationRecorder.EVIDENCE_STATUS_DEDUPED.equals(evidenceStatus)) {
                 noHitCount++;
+                if (outputSummary == null || outputSummary.isBlank()) {
+                    outputSummary = extractOutputSummary(invocation, topicDomain);
+                }
+                return;
             }
 
             String invocationEvidenceLevel = determineEvidenceLevel(invocation);

src/main/java/com/superbiz/agent/tool/LookupKnowledgeTool.java

@@ -14,6 +14,7 @@ import org.springframework.beans.factory.annotation.Value;
 import org.springframework.stereotype.Component;
 
 import java.util.List;
+import java.util.Locale;
 import java.util.stream.Collectors;
 
 /**
@@ -309,131 +310,30 @@ public class LookupKnowledgeTool {
             String sessionId = SessionContextHolder.getSessionId();
             if (sessionId == null) return;
 
-            boolean hasL0 = l0Matches != null && !l0Matches.isEmpty();
-            boolean hasL1 = l1Results != null && !l1Results.isEmpty();
             long duration = System.currentTimeMillis() - startTime;
+            double l1TopSimilarity = (l1Results != null && !l1Results.isEmpty())
+                    ? normalizeL2(l1Results.get(0).getScore())
+                    : -1;
 
-            String layer;
+            ToolInvocationRecorder.LookupKnowledgeRecord record = ToolInvocationRecorder.LookupKnowledgeRecord.from(
-            String outputPreview = null;
+                    query,
-            int outputLength = 0;
+                    l0Matches,
-            int l0Count = 0;
+                    l1Results,
-            int l1Count = 0;
+                    highConfidence,
-            boolean truncated = false;
+                    result,
-
+                    domain,
-            if (hasL0 && !highConfidence) {
+                    dedupReason,
-                layer = "L0+L1";
+                    (int) duration,
-                l0Count = l0Matches.size();
+                    l1TopSimilarity
-                l1Count = l1Results.size();
+            );
-            } else if (hasL0) {
+            toolInvocationRecorder.recordLookupKnowledge(record);
-                layer = "L0";
-                l0Count = l0Matches.size();
-            } else if (hasL1) {
-                layer = "L1";
-                l1Count = l1Results.size();
-            } else {
-                layer = null;
-            }
-
-            // output_preview
-            if (result != null && result.getPrimary() != null && result.getPrimary().getContent() != null) {
-                String content = result.getPrimary().getContent();
-                outputLength = content.length();
-                if (content.length() > 500) {
-                    outputPreview = content.substring(0, 500) + "...";
-                    truncated = true;
-                } else {
-                    outputPreview = content;
-                }
-            } else if (l1Results != null && !l1Results.isEmpty() && l1Results.get(0).getContent() != null) {
-                String content = l1Results.get(0).getContent();
-                outputLength = content.length();
-                if (content.length() > 500) {
-                    outputPreview = content.substring(0, 500) + "...";
-                    truncated = true;
-                } else {
-                    outputPreview = content;
-                }
-            }
-
-            // L1 top score + similarity
-            float l1TopScore = (hasL1) ? l1Results.get(0).getScore() : -1;
-            double l1TopSimilarity = (hasL1) ? normalizeL2(l1TopScore) : -1;
-
-            // 构建检索明细 JSON（扩展版）
-            StringBuilder details = new StringBuilder("{");
-            if (hasL0) {
-                details.append("\"l0_match_count\":").append(l0Count).append(",");
-                details.append("\"l0_titles\":[");
-                for (int i = 0; i < Math.min(3, l0Matches.size()); i++) {
-                    if (i > 0) details.append(",");
-                    details.append("\"").append(escapeJson(l0Matches.get(i).getTitle())).append("\"");
-                }
-                details.append("],");
-            }
-            if (hasL1) {
-                details.append("\"l1_top_score\":").append(String.format("%.4f", l1TopScore)).append(",");
-                details.append("\"l1_top_similarity\":").append(String.format("%.4f", l1TopSimilarity)).append(",");
-                details.append("\"l1_match_count\":").append(l1Count).append(",");
-                details.append("\"l1_scores\":[");
-                for (int i = 0; i < Math.min(3, l1Results.size()); i++) {
-                    if (i > 0) details.append(",");
-                    details.append(String.format("%.4f", l1Results.get(i).getScore()));
-                }
-                details.append("],");
-            }
-            // 归一化信息
-            if (result != null && result.getRelevanceLevel() != null) {
-                details.append("\"relevance_level\":\"").append(result.getRelevanceLevel()).append("\",");
-                details.append("\"completeness_hint\":\"").append(escapeJson(result.getCompletenessHint())).append("\",");
-            }
-            // 域信息
-            if (domain != null) {
-                details.append("\"retrieved_domains\":[\"").append(escapeJson(domain)).append("\"],");
-            }
-            // 去重原因
-            if (dedupReason != null) {
-                details.append("\"dedup_reason\":\"").append(dedupReason).append("\",");
-            }
-            // 移除末尾逗号
-            if (details.charAt(details.length() - 1) == ',') {
-                details.setLength(details.length() - 1);
-            }
-            details.append("}");
-
-            ToolInvocation inv = ToolInvocation.builder()
-                    .sessionId(sessionId)
-                    .toolName("lookup_knowledge")
-                    .inputParams("{\"query\":\"" + escapeJson(query) + "\"}")
-                    .outputPreview(outputPreview)
-                    .outputLength(outputLength)
-                    .retrievalLayer(layer)
-                    .l0MatchCount(hasL0 ? l0Count : null)
-                    .l1MatchCount(hasL1 ? l1Count : null)
-                    .isTruncated(truncated)
-                    .retrievalDetails(details.toString())
-                    .relevanceLevel(result != null ? result.getRelevanceLevel() : null)
-                    .dedupReason(dedupReason)
-                    .durationMs((int) duration)
-                    .success(true)
-                    .build();
-
-            toolInvocationRecorder.save(inv);
             log.debug("tool_invocation 已保存: sessionId={}, layer={}, relevanceLevel={}, duration={}ms",
-                sessionId, layer, result != null ? result.getRelevanceLevel() : null, duration);
+                    sessionId, record.retrievalLayer(), record.relevanceLevel(), duration);
         } catch (Exception e) {
             log.error("保存 tool_invocation 失败", e);
         }
     }
 
-    private String escapeJson(String s) {
-        if (s == null) return "";
-        return s.replace("\\", "\\\\")
-                .replace("\"", "\\\"")
-                .replace("\n", "\\n")
-                .replace("\r", "\\r")
-                .replace("\t", "\\t");
-    }
-
     // ==================== 结果组装 ====================
 
     private LookupResult buildResult(

src/test/java/com/superbiz/agent/service/ChatServiceSequentialAgentTest.java

@@ -24,6 +24,7 @@ import java.util.Optional;
 import java.util.concurrent.atomic.AtomicInteger;
 
 import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertFalse;
 import static org.junit.jupiter.api.Assertions.assertSame;
 import static org.junit.jupiter.api.Assertions.assertTrue;
 import static org.mockito.ArgumentMatchers.any;
@@ -85,6 +86,73 @@ class ChatServiceSequentialAgentTest {
         assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier"), chatModel.agentCalls);
     }
 
+    @Test
+    void executeChatComplexFallsBackToLowConfidenceWhenVerifierOutputMissing() throws Exception {
+        ChatService chatService = createChatService();
+        ScriptedChatModel chatModel = new ScriptedChatModel("", "");
+
+        ChatService.ChatResult result = chatService.executeChatComplex(
+                chatModel,
+                new ToolCallback[0],
+                "请分析订单支付超时的原因，并给出修复建议",
+                List.of(),
+                "sequential-missing-verifier-session"
+        );
+
+        assertTrue(result.answer().startsWith("以下结论基于当前已获取证据"));
+        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier", "chat_verifier"), chatModel.agentCalls);
+    }
+
+    @Test
+    void executeChatComplexFallsBackToLowConfidenceWhenVerifierJsonInvalid() throws Exception {
+        ChatService chatService = createChatService();
+        ScriptedChatModel chatModel = new ScriptedChatModel("not-json");
+
+        ChatService.ChatResult result = chatService.executeChatComplex(
+                chatModel,
+                new ToolCallback[0],
+                "请分析订单支付超时的原因，并给出修复建议",
+                List.of(),
+                "sequential-invalid-verifier-session"
+        );
+
+        assertTrue(result.answer().startsWith("以下结论基于当前已获取证据"));
+        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier"), chatModel.agentCalls);
+    }
+
+    @Test
+    void executeChatComplexRejectOutputDoesNotLeakExecutorAnswer() throws Exception {
+        ChatService chatService = createChatService();
+        ScriptedChatModel chatModel = new ScriptedChatModel("""
+                {
+                  "verdict": "REJECT",
+                  "groundedness_score": 0.0,
+                  "critical_fact_count": 1,
+                  "facts_checked": [
+                    {
+                      "fact": "payment timeout root cause",
+                      "is_critical": true,
+                      "verification": "contradicted",
+                      "detail": "scripted contradiction",
+                      "evidence_refs": []
+                    }
+                  ],
+                  "rationale": "scripted reject"
+                }
+                """);
+
+        ChatService.ChatResult result = chatService.executeChatComplex(
+                chatModel,
+                new ToolCallback[0],
+                "请分析订单支付超时的原因，并给出修复建议",
+                List.of(),
+                "sequential-reject-session"
+        );
+
+        assertTrue(result.answer().startsWith("当前无法基于已获取证据生成可靠结论"));
+        assertFalse(result.answer().contains("EXECUTOR_FINAL_ANSWER"));
+    }
+
     @Test
     void executeChatComplexRunsPlannerExecutorVerifierInFixedOrder() throws Exception {
         ChatService chatService = createChatService();
@@ -174,7 +242,8 @@ class ChatServiceSequentialAgentTest {
         private final java.util.ArrayList<String> agentCalls = new java.util.ArrayList<>();
         private String promptText = "";
         private boolean sawVerifierPrompt;
-        private final String verifierOutput;
+        private final java.util.List<String> verifierOutputs;
+        private int verifierOutputIndex;
 
         private ScriptedChatModel() {
             this("""
@@ -197,7 +266,11 @@ class ChatServiceSequentialAgentTest {
         }
 
         private ScriptedChatModel(String verifierOutput) {
-            this.verifierOutput = verifierOutput;
+            this.verifierOutputs = java.util.List.of(verifierOutput);
+        }
+
+        private ScriptedChatModel(String... verifierOutputs) {
+            this.verifierOutputs = java.util.List.of(verifierOutputs);
         }
 
         @Override
@@ -213,7 +286,9 @@ class ChatServiceSequentialAgentTest {
             } else if (promptText.contains("VERIFIER_TEST_PROMPT")) {
                 agentCalls.add("chat_verifier");
                 sawVerifierPrompt = true;
-                text = verifierOutput;
+                int index = Math.min(verifierOutputIndex, verifierOutputs.size() - 1);
+                text = verifierOutputs.get(index);
+                verifierOutputIndex++;
             } else {
                 text = "UNEXPECTED_PROMPT";
             }

src/test/java/com/superbiz/agent/service/ToolInvocationRecorderTest.java

@@ -0,0 +1,96 @@
+package com.superbiz.agent.service;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+import com.superbiz.agent.domain.entity.ToolInvocation;
+import com.superbiz.agent.repository.ToolInvocationRepository;
+import com.superbiz.agent.util.SessionContextHolder;
+import org.junit.jupiter.api.Test;
+import org.mockito.ArgumentCaptor;
+
+import java.util.List;
+import java.util.Map;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+import static org.mockito.ArgumentMatchers.any;
+import static org.mockito.Mockito.mock;
+import static org.mockito.Mockito.verify;
+import static org.mockito.Mockito.when;
+
+class ToolInvocationRecorderTest {
+
+    @Test
+    void recordEvidenceToolPreservesNoEvidenceSemantics() {
+        ToolInvocationRepository repository = mock(ToolInvocationRepository.class);
+        when(repository.save(any(ToolInvocation.class))).thenAnswer(invocation -> invocation.getArgument(0));
+        ToolInvocationRecorder recorder = new ToolInvocationRecorder(repository, new ObjectMapper());
+        SessionContextHolder.setSessionId("recorder-test-session");
+
+        try {
+            recorder.recordEvidenceTool(
+                    "query_logs",
+                    Map.of("query", "timeout"),
+                    "{\"success\":false,\"message\":\"未找到匹配的日志\"}",
+                    true,
+                    System.currentTimeMillis() - 10,
+                    null,
+                    "application-logs",
+                    ToolInvocationRecorder.EVIDENCE_STATUS_NO_EVIDENCE,
+                    Map.of("log_topic", "application-logs")
+            );
+        } finally {
+            SessionContextHolder.clear();
+        }
+
+        ArgumentCaptor<ToolInvocation> captor = ArgumentCaptor.forClass(ToolInvocation.class);
+        verify(repository).save(captor.capture());
+        ToolInvocation saved = captor.getValue();
+
+        assertEquals("query_logs", saved.getToolName());
+        assertEquals(Boolean.TRUE, saved.getSuccess());
+        assertTrue(saved.getRetrievalDetails().contains("\"evidence_status\":\"no_evidence\""));
+        assertTrue(saved.getRetrievalDetails().contains("\"retrieved_domains\":[\"application-logs\"]"));
+    }
+
+    @Test
+    void recordLookupKnowledgePreservesRetrievalSpecificFields() {
+        ToolInvocationRepository repository = mock(ToolInvocationRepository.class);
+        when(repository.save(any(ToolInvocation.class))).thenAnswer(invocation -> invocation.getArgument(0));
+        ToolInvocationRecorder recorder = new ToolInvocationRecorder(repository, new ObjectMapper());
+        SessionContextHolder.setSessionId("lookup-recorder-session");
+
+        ToolInvocationRecorder.LookupKnowledgeRecord record = ToolInvocationRecorder.LookupKnowledgeRecord.builder()
+                .query("ERR_TIMEOUT")
+                .outputPreview("matched payment doc")
+                .outputLength(18)
+                .retrievalLayer("L0")
+                .l0MatchCount(1)
+                .l1MatchCount(null)
+                .truncated(false)
+                .relevanceLevel("PRECISE")
+                .completenessHint("already precise")
+                .domain("payment")
+                .dedupReason("doc_retrieved")
+                .durationMs(42)
+                .success(true)
+                .evidenceStatus(ToolInvocationRecorder.EVIDENCE_STATUS_DEDUPED)
+                .l0Titles(List.of("payment/errors.md"))
+                .build();
+
+        try {
+            recorder.recordLookupKnowledge(record);
+        } finally {
+            SessionContextHolder.clear();
+        }
+
+        ArgumentCaptor<ToolInvocation> captor = ArgumentCaptor.forClass(ToolInvocation.class);
+        verify(repository).save(captor.capture());
+        ToolInvocation saved = captor.getValue();
+
+        assertEquals("lookup_knowledge", saved.getToolName());
+        assertEquals("PRECISE", saved.getRelevanceLevel());
+        assertEquals("doc_retrieved", saved.getDedupReason());
+        assertTrue(saved.getRetrievalDetails().contains("\"evidence_status\":\"deduped\""));
+        assertTrue(saved.getRetrievalDetails().contains("\"retrieved_domains\":[\"payment\"]"));
+    }
+}

src/test/java/com/superbiz/agent/service/ToolTraceSummaryServiceTest.java

@@ -0,0 +1,75 @@
+package com.superbiz.agent.service;
+
+import com.superbiz.agent.domain.entity.ToolInvocation;
+import com.superbiz.agent.repository.ToolInvocationRepository;
+import org.junit.jupiter.api.Test;
+
+import java.util.List;
+import java.util.Map;
+
+import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertFalse;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+import static org.mockito.Mockito.mock;
+import static org.mockito.Mockito.when;
+
+class ToolTraceSummaryServiceTest {
+
+    @Test
+    void buildVerifierTraceSummaryTreatsNoEvidenceAsGapWithoutLosingSuccessfulEvidence() {
+        ToolInvocationRepository repository = mock(ToolInvocationRepository.class);
+        when(repository.findBySessionIdOrderByIdAsc("session-1")).thenReturn(List.of(
+                ToolInvocation.builder()
+                        .id(1L)
+                        .sessionId("session-1")
+                        .toolName("query_logs")
+                        .inputParams("{\"query\":\"timeout\"}")
+                        .outputPreview("payment timeout stack trace")
+                        .retrievalDetails("{\"retrieved_domains\":[\"application-logs\"],\"evidence_status\":\"supported\"}")
+                        .success(true)
+                        .build(),
+                ToolInvocation.builder()
+                        .id(2L)
+                        .sessionId("session-1")
+                        .toolName("query_logs")
+                        .inputParams("{\"query\":\"timeout\"}")
+                        .outputPreview("{\"success\":false,\"message\":\"未找到匹配的日志\"}")
+                        .retrievalDetails("{\"retrieved_domains\":[\"application-logs\"],\"evidence_status\":\"no_evidence\"}")
+                        .success(true)
+                        .build(),
+                ToolInvocation.builder()
+                        .id(3L)
+                        .sessionId("session-1")
+                        .toolName("query_metrics")
+                        .inputParams("{\"query\":\"active_prometheus_alerts\"}")
+                        .errorMessage("prometheus timeout")
+                        .retrievalDetails("{\"retrieved_domains\":[\"prometheus_alerts\"],\"evidence_status\":\"failed\"}")
+                        .success(false)
+                        .build()
+        ));
+
+        ToolTraceSummaryService service = new ToolTraceSummaryService(repository);
+
+        List<Map<String, Object>> summaries = service.buildVerifierTraceSummary("session-1", "application-logs point to timeout");
+
+        assertEquals(2, summaries.size());
+
+        Map<String, Object> logsSummary = summaries.stream()
+                .filter(item -> "query_logs".equals(item.get("tool_name")))
+                .findFirst()
+                .orElseThrow();
+        assertEquals(Boolean.TRUE, logsSummary.get("success"));
+        assertEquals("direct", logsSummary.get("evidence_level"));
+        assertEquals(2, logsSummary.get("invocation_count"));
+        assertEquals(1, logsSummary.get("no_hit_invocation_count"));
+
+        Map<String, Object> metricsSummary = summaries.stream()
+                .filter(item -> "query_metrics".equals(item.get("tool_name")))
+                .findFirst()
+                .orElseThrow();
+        assertEquals(Boolean.FALSE, metricsSummary.get("success"));
+        assertEquals("none", metricsSummary.get("evidence_level"));
+        assertEquals(1, metricsSummary.get("failed_invocation_count"));
+        assertTrue(String.valueOf(metricsSummary.get("output_summary")).contains("call failed"));
+    }
+}

src/test/java/com/superbiz/agent/tool/LookupKnowledgeToolTest.java

@@ -3,7 +3,9 @@ package com.superbiz.agent.tool;
 import com.superbiz.agent.dto.KnowledgeEntry;
 import com.superbiz.agent.dto.LookupResult;
 import com.superbiz.agent.service.KnowledgeIndexService;
+import com.superbiz.agent.service.ToolInvocationRecorder;
 import com.superbiz.agent.service.VectorSearchService;
+import com.fasterxml.jackson.databind.ObjectMapper;
 import org.junit.jupiter.api.BeforeEach;
 import org.junit.jupiter.api.Test;
 import org.mockito.InjectMocks;
@@ -28,6 +30,15 @@ class LookupKnowledgeToolTest {
     @Mock
     private VectorSearchService vectorSearchService;
 
+    @Mock
+    private ToolInvocationRecorder toolInvocationRecorder;
+
+    @Mock
+    private RetrievedDocTracker retrievedDocTracker;
+
+    @Mock
+    private ObjectMapper objectMapper;
+
     @InjectMocks
     private LookupKnowledgeTool tool;