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SuperBizAgent-java/openspec/specs/chat-verifier-agent/spec.md
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chat-verifier-agent Specification

Purpose

TBD - created by archiving change chat-verifier-agent. Update Purpose after archive.

Requirements

Requirement: Verifier SHALL fact-check Executor answers

The system SHALL have a Verifier Agent that reads the Executor's answer and the tool call history, then produces a structured verdict.

Scenario: PASS verdict when all claims have evidence

  • WHEN all critical facts in the Executor's answer have direct or indirect support in tool call results
  • AND at least one critical fact has direct evidence
  • AND no critical fact is contradicted
  • THEN the Verifier SHALL output verdict="PASS" with groundedness_score ≥ 0.5

Scenario: LOW_CONFID verdict with partial evidence

  • WHEN no critical fact contradicts the tool results
  • AND some critical facts have no supporting evidence
  • THEN the Verifier SHALL output verdict="LOW_CONFID"

Scenario: LOW_CONFID verdict with only indirect support

  • WHEN no critical fact contradicts the tool results
  • AND all critical facts are only indirectly supported
  • THEN the Verifier SHALL output verdict="LOW_CONFID"

Scenario: REJECT verdict when claims contradict evidence

  • WHEN any critical fact in the Executor's answer contradicts tool call results
  • OR the answer fabricates a key entity, error code, or conclusion that does not exist in the tool evidence
  • THEN the Verifier SHALL output verdict="REJECT"

Scenario: Structured Executor claims are verified first

  • WHEN executor_structured_output.claims is present and valid
  • THEN Verifier SHALL verify each structured claim against tool_trace_summary
  • AND each claim's evidence bindings SHALL reference existing trace or invocation identifiers when those identifiers are available
  • AND a claim with fabricated or missing evidence references SHALL NOT be classified as direct_evidence

Scenario: Extra confirmed-sounding answer facts are still checked

  • WHEN executor_structured_output.user_facing_answer contains confirmed-sounding facts that are absent from executor_structured_output.claims
  • THEN Verifier SHALL add those facts to facts_checked
  • AND unsupported extra facts SHALL lower the verdict according to the existing verdict matrix

Scenario: Natural-language fallback remains available

  • WHEN Executor does not return parseable structured output
  • THEN Verifier SHALL fall back to extracting facts from executor_final_answer
  • AND the final verdict SHALL still follow the existing groundedness and evidence classification rules

Requirement: Verifier SHALL output structured JSON

The Verifier SHALL output a JSON object with verdict, groundedness_score, facts_checked array, and rationale.

Scenario: Output format validation

  • WHEN the Verifier completes its analysis
  • THEN the output SHALL contain "verdict", "groundedness_score", "facts_checked", and "rationale" fields
  • AND groundedness_score SHALL be a float between 0.0 and 1.0
  • AND verdict SHALL be one of "PASS", "LOW_CONFID", or "REJECT"

Scenario: strict schema output

  • WHEN the Verifier returns its result
  • THEN it SHALL output exactly one JSON object
  • AND it SHALL NOT output Markdown, code fences, or explanatory text outside the JSON object
  • AND the JSON object SHALL include critical_fact_count
  • AND each facts_checked item SHALL include fact, is_critical, verification, and detail

Requirement: facts_checked SHALL use a fixed classification set

Each checked fact SHALL be labeled using a fixed evidence classification.

Scenario: fact classification values

  • WHEN the Verifier emits facts_checked
  • THEN each fact SHALL use one of direct_evidence, indirect_support, no_evidence, or contradicted

Requirement: groundedness_score SHALL be derived from fact classifications

The groundedness score SHALL be computed from critical fact classifications instead of being freely chosen by the model.

Scenario: contradicted fact forces reject

  • WHEN any critical fact is labeled contradicted
  • THEN the Verifier SHALL output verdict="REJECT"
  • AND groundedness_score SHALL be 0.0

Scenario: score derived from supported facts

  • WHEN no critical fact is contradicted
  • THEN groundedness_score SHALL be computed from the mapped values of critical facts
  • AND the implementation SHALL use the fixed mapping direct_evidence=1.0, indirect_support=0.6, no_evidence=0.0
  • AND the result SHALL be clamped into [0.0, 1.0]

Requirement: ChatService SHALL route based on Verifier verdict

The system SHALL use ChatService for explicit single-round Planner → Executor → Verifier orchestration and SHALL use ChatService to control whether an additional round is allowed.

Scenario: PASS → direct output

  • WHEN Verifier outputs verdict="PASS"
  • THEN the system SHALL output the Executor's answer directly

Scenario: LOW_CONFID score≥0.5 → output with disclaimer

  • WHEN Verifier outputs verdict="LOW_CONFID" with groundedness_score ≥ 0.5
  • THEN the system SHALL output the Executor's answer prefixed with a fixed confidence disclaimer

Scenario: LOW_CONFID score<0.5 → trigger one additional round

  • WHEN Verifier outputs verdict="LOW_CONFID" with groundedness_score < 0.5 and this is the first callback
  • THEN the ChatService SHALL invoke one additional Planner → Executor → Verifier round to supplement evidence
  • AND after the second Verifier run, verdict="LOW_CONFID" SHALL be output with a confidence disclaimer
  • AND after the second Verifier run, verdict="REJECT" SHALL still produce a degraded output

Scenario: REJECT does not enter retry round

  • WHEN Verifier outputs verdict="REJECT"
  • THEN the system SHALL NOT start a retry round for evidence补充
  • AND it SHALL produce a degraded output directly

Scenario: REJECT → degraded output

  • WHEN Verifier outputs verdict="REJECT"
  • THEN the system SHALL output a degraded result indicating the answer cannot be reliably generated
  • AND it SHALL NOT pass through the raw Executor answer

Requirement: User-facing verifier outputs SHALL follow fixed templates

The system SHALL use fixed output protocols for LOW_CONFID and REJECT user-facing responses.

Scenario: LOW_CONFID uses disclaimer template

  • WHEN the final verdict is LOW_CONFID
  • THEN the user-facing response SHALL prepend a fixed disclaimer before the Executor answer
  • AND optional evidence gaps, if present, SHALL come only from verifier-identified critical gaps

Scenario: REJECT uses degraded template

  • WHEN the final verdict is REJECT
  • THEN the user-facing response SHALL use a degraded template
  • AND it SHALL include only confirmed facts, evidence gaps, and next-step suggestions
  • AND it SHALL NOT include unverified raw answer content

Requirement: Verifier SHALL be observable

The Verifier's verdict SHALL be persisted for observability.

Scenario: verdict written to self_evaluation

  • WHEN the Verifier produces a verdict
  • THEN the ChatService SHALL write the verdict data under diagnosis_session.self_evaluation.verifier_evaluation
  • AND existing rule_evaluation data SHALL be preserved

Requirement: self_evaluation SHALL be a container object

The diagnosis_session.self_evaluation field SHALL store multiple evaluation channels in one JSON object.

Scenario: rule evaluation stored separately

  • WHEN the rule-based evidence scoring completes
  • THEN the EvaluationService SHALL write the result under rule_evaluation
  • AND existing verifier_evaluation data SHALL be preserved

Scenario: verifier evaluation stored separately

  • WHEN the Verifier completes
  • THEN the ChatService SHALL write the result under verifier_evaluation
  • AND existing rule_evaluation data SHALL be preserved

Scenario: no whole-object overwrite after initialization

  • WHEN either evaluation channel updates self_evaluation
  • THEN the implementation SHALL use read-modify-write semantics
  • AND it SHALL NOT replace the whole JSON object except when initializing from null

Requirement: Verifier SHALL consume explicit verification inputs

The Verifier SHALL receive explicit verification inputs rather than inferring them only from raw conversation history.

Scenario: explicit input blocks available to Verifier

  • WHEN the Verifier starts
  • THEN the system SHALL provide original_query, executor_final_answer, and tool_trace_summary as explicit inputs
  • AND retry_context SHALL be provided on the second round only
  • AND when Executor returns a valid evidence-attribution contract, the system SHALL provide executor_structured_output
  • AND when Executor output parsing fails, the system SHALL provide an executor_output_parse_status that indicates the failure
  • AND message filtering MAY be used only to remove intermediate reasoning or unrelated noise

Scenario: Verifier remains isolated from intermediate reasoning

  • WHEN executor_structured_output is added to the verifier input
  • THEN the input SHALL still exclude Planner reasoning and Executor intermediate reasoning
  • AND the input SHALL be limited to the original query, final Executor output, parsed Executor evidence contract, tool trace summary, and retry context

Scenario: tool trace summary derived from tool facts

  • WHEN the system prepares verifier inputs
  • THEN tool_trace_summary SHALL be generated from tool invocation facts
  • AND each summary item SHALL include tool name, success state, input summary, output summary, and evidence level
  • AND raw conversation history SHALL NOT be the only source of verifier evidence context

Scenario: tool trace summary preserves invocation references

  • WHEN the system prepares verifier inputs
  • THEN each summary item SHALL include a stable trace_ref
  • AND each summary item SHALL preserve source_invocation_ids for the tool invocation rows that contributed to the summary
  • AND each summary item SHOULD include query samples, retrieval layers, relevance levels, and source document labels when available

Scenario: only evidence-bearing tools included

  • WHEN the system generates tool_trace_summary
  • THEN it SHALL include only evidence-bearing tool invocations
  • AND non-evidence helper tools such as time or formatting tools SHALL be excluded by default

Scenario: failed evidence calls preserved as evidence gaps

  • WHEN an evidence-bearing tool invocation fails or returns no usable evidence
  • THEN the summary SHALL still include that invocation
  • AND it SHALL mark the entry as unsuccessful with an evidence level representing no evidence

Scenario: repeated tool calls may be compacted

  • WHEN repeated tool invocations concern the same tool, topic domain, and round
  • THEN the system MAY compact them into a merged summary entry
  • AND the merged entry SHALL preserve the first effective hit and the count of repeated, failed, or no-hit calls

Scenario: raw outputs not passed through in full

  • WHEN a tool invocation returns large raw content
  • THEN tool_trace_summary SHALL keep only a minimal evidence summary
  • AND the raw output SHALL NOT be passed through in full to the Verifier

Scenario: MessagesModelHook used only for noise reduction

  • WHEN a MessagesModelHook is used for the Verifier
  • THEN it MAY remove intermediate reasoning or irrelevant messages
  • AND it SHALL NOT be the primary source for assembling verifier business inputs

Requirement: Verifier facts SHALL be auditable

Verifier facts SHALL be linkable to the evidence summaries used during verification.

Scenario: facts_checked contains evidence refs

  • WHEN the Verifier emits facts_checked
  • THEN each fact SHALL include evidence_refs
  • AND each evidence ref SHALL point to an existing tool_trace_summary.trace_ref
  • AND each evidence ref SHALL preserve the relevant source_invocation_ids when available

Scenario: verifier evaluation persists traceability snapshot

  • 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

Requirement: Verifier evidence summaries SHALL preserve concrete supporting facts

The verifier-facing tool_trace_summary SHALL preserve compact concrete facts from persisted evidence-tool outputs so direct evidence is not misclassified as missing merely because raw output was truncated.

Scenario: Log evidence contains a concrete matching message

  • WHEN a persisted query_logs invocation output contains a concrete log message matching a critical fact
  • THEN the generated tool_trace_summary SHALL include that message or a bounded excerpt of it in output_summary
  • AND Verifier SHALL be able to reference the invocation id as direct evidence

Scenario: Metrics evidence contains concrete alert fields

  • WHEN a persisted query_metrics invocation output contains alert names, services, or metric values
  • THEN the generated tool_trace_summary SHALL include the relevant alert names, services, and bounded metric values
  • AND it SHALL NOT imply unsupported alerts that are absent from the tool output

Scenario: Summary remains bounded

  • WHEN a tool output is large
  • THEN the generated tool_trace_summary SHALL remain bounded
  • AND it SHALL preserve concrete facts before generic boilerplate or low-value formatting

Requirement: Verifier low-confidence output SHALL not present unsupported claims as confirmed

When Verifier returns LOW_CONFID, user-facing output SHALL clearly separate confirmed facts from evidence gaps and SHALL NOT leave unsupported Executor claims formatted as confirmed findings.

Scenario: LOW_CONFID with critical evidence gaps

  • WHEN Verifier labels critical facts as no_evidence
  • THEN the final user-facing response SHALL identify those gaps from verifier output
  • AND unsupported raw Executor claims SHALL NOT be presented as confirmed conclusions

Requirement: Executor SHALL output an evidence-attribution contract

The Chat Executor SHALL produce a machine-checkable final output that separates confirmed claims from hypotheses, recommendations, and missing information.

Scenario: Executor V2 final output contains only structured diagnostic fields

  • WHEN Executor completes a Chat diagnosis step under the V2 contract
  • THEN its final output SHALL contain answer_version, claims, hypotheses, recommended_actions, and missing_info
  • AND answer_version SHALL equal executor_evidence_v2
  • AND the output SHOULD be parseable as one JSON object without Markdown fences
  • AND the output SHALL NOT contain diagnosis_summary
  • AND the output SHALL NOT contain user_facing_answer

Scenario: Confirmed claims carry evidence bindings

  • WHEN Executor emits an item under claims
  • THEN the item SHALL include claim_id, claim_type, claim_text, support_level, and evidence_bindings
  • AND support_level SHALL be one of direct or indirect
  • AND evidence_bindings SHALL contain at least one evidence binding

Scenario: Evidence bindings support multiple tool types

  • WHEN Executor binds evidence to a claim
  • THEN each binding SHALL include source_type, tool_name, source_invocation_ids, and evidence_excerpt
  • AND the binding MAY include source_id
  • AND the binding SHALL be able to reference lookup_knowledge, query_logs, query_metrics, or other evidence-bearing tool traces
  • AND the binding SHALL NOT rely only on a RAG-specific chunk_id

Scenario: Unsupported conclusions are not confirmed claims

  • WHEN a possible root cause, detail, or remediation lacks current-session tool evidence
  • THEN Executor SHALL place it under hypotheses, recommended_actions, or missing_info
  • AND Executor SHALL NOT present it as a confirmed claim

Scenario: Runbook and skill guidance do not become incident facts

  • WHEN Executor uses runbook, skill, or historical-case guidance
  • THEN the guidance MAY influence recommended_actions
  • AND the guidance SHALL NOT be emitted as a current incident fact unless current-session tool evidence supports it

Requirement: User-facing Chat answers SHALL remain readable Chinese

The system SHALL preserve a readable Chinese answer for normal Chat users even when Executor emits a machine-checkable contract.

Scenario: V2 machine contract is not exposed as normal user answer

  • WHEN Executor emits executor_evidence_v2
  • AND Verifier returns PASS
  • THEN normal user output SHALL be rendered as readable Chinese from the structured contract or a safe fallback template
  • AND normal user output SHALL NOT be the raw Executor JSON object

Scenario: Machine contract remains available for trace inspection

  • WHEN the Chat trace or verifier evaluation is inspected
  • THEN the structured Executor contract MAY be shown for debugging or audit
  • AND normal user output SHALL use the existing verifier-routed display path rather than exposing raw JSON by default

Requirement: Structured Executor output SHALL degrade safely

The system SHALL tolerate malformed or absent structured Executor output without crashing the Chat flow.

Scenario: Malformed Executor JSON is captured

  • WHEN Executor returns malformed JSON or text outside the expected contract
  • THEN Chat runtime SHALL preserve the raw executor_final_answer
  • AND it SHALL mark executor_output_parse_status as failed
  • AND Verifier SHALL use natural-language fallback behavior

Scenario: Structured parse failure remains observable

  • WHEN Executor output parsing fails
  • THEN the verifier evaluation or trace snapshot SHALL make the parse failure visible
  • AND the failure SHALL NOT be silently treated as a successful evidence-attribution contract