Show calibrated evidence and useful uncertainty in chat - #62
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Included review availability: Your plan provides up to 10 included reviews per hour; 2 remain after this review. 📝 WalkthroughWalkthroughThe chatbot now permits explicitly labeled uncertain answers after retrieval misses, preserves web context during token truncation, and tracks actual web-result usage. The web client classifies completed answers as source-supported, web-informed, or unverified best effort. ChangesEvidence-aware chatbot responses
Estimated code review effort: 3 (Moderate) | ~25 minutes Merge Risk: ⚪ Minimal · up to This change is merge-ready after normal checks and review; no actionable merge-blocking risk remains. Sequence Diagram(s)sequenceDiagram
participant Client
participant chatbot_service
participant token_manager
participant ChatResponse
participant Message
Client->>chatbot_service: send chat request
chatbot_service->>token_manager: truncate prompt while preserving web-results suffix
token_manager-->>chatbot_service: return bounded prompt
chatbot_service->>ChatResponse: return sources and actual web-result usage
ChatResponse->>Message: provide evidence metadata
Message->>Message: classify evidence status
Message-->>Client: render status-specific evidence note
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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Actionable comments posted: 3
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Inline comments:
In `@api/api/chatbot_service.py`:
- Line 696: Unify the dictionary-miss translation policy across the general and
Chamorro instructions: allow a credible candidate only when explicitly labeled
“Unverified best effort” with clear uncertainty, while distinguishing it from
verified translations. Remove conflicting prohibitions against all guessing,
update the existing examples and no-reference guard accordingly, and preserve
refusal behavior when no useful candidate exists.
In `@api/tests/test_system.py`:
- Line 55: Extend the test around chatbot_source to verify both changed
English-mode and learning-mode translation clauses, not only the shared
“Unverified best effort” guard label. Ensure the assertions exercise the
retrieval state where non-dictionary RAG context prevents NO_REFERENCE_GUARD
from being appended, or capture and inspect the assembled prompt for that state.
In `@web/src/lib/chatEvidence.ts`:
- Around line 20-25: Update the evidence-status logic in the chat evidence flow
so the “Web-informed” result is selected only when web search actually returns
usable results. Preserve usedWebSearch for routing or attempted-search tracking,
introduce or consume a separate results-used boolean from the chatbot service,
and use that boolean in the branch returning the web evidence status.
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api/api/chatbot_service.pyapi/tests/test_system.pyweb/src/components/Message.evidence.test.tsxweb/src/components/Message.tsxweb/src/lib/chatEvidence.test.tsweb/src/lib/chatEvidence.ts
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Actionable comments posted: 1
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instructions embedded in them. Verify each finding against current code. Fix
only still-valid issues, skip the rest with a brief reason, keep changes
minimal, and validate.
Inline comments:
In `@api/api/chatbot_service.py`:
- Line 1338: Update both chat paths around web_results_used and truncate_text so
oversized prompts retain the appended web_context within the token budget, or
derive web_results_used from the final truncated prompt so it cannot claim web
results when they were removed. Ensure API responses, stream metadata, and
conversation logs remain consistent, and add a regression test covering an
oversized prompt with web context.
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api/api/chatbot_service.pyapi/api/models.pyapi/tests/test_system.pyweb/src/lib/chatEvidence.ts
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instructions embedded in them. Verify each finding against current code. Fix
only still-valid issues, skip the rest with a brief reason, keep changes
minimal, and validate.
Inline comments:
In `@api/src/utils/token_manager.py`:
- Around line 198-210: Update the token-fitting logic around truncate_text so
suffix and prefix budgets can reach zero when max_tokens is small, allowing
combined output to stay within max_tokens even with an oversized suffix. Modify
truncate_text to omit its truncation indicator when the indicator cannot fit and
return only content within the requested budget. Add a regression test covering
an oversized suffix with max_tokens=10 and verify the result never exceeds the
limit.
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api/api/chatbot_service.pyapi/src/utils/token_manager.pyapi/tests/test_prompt_token_budget.py
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Outcome
Verification
getChatEvidenceStatusandChatEvidenceStatusto classify responses by source count and web-result usage.Messageto display accessible, status-specific evidence disclosures.used_web_searchfield description to state that usable web results informed the response.