woogiandClaude Opus 5
23e19f53b2
Read-only Q&A on the review screen, per finding and per run, answered from
the job's own artifacts (evidence, cluster, extraction, verification, Brain
merge, sheet index, cover reconciliation, job.log). It never mutates findings,
decisions, or the report.
Turns are logged job-locally (review/chat_log.jsonl, transcript at
/jobs/{id}/review-chat/log) and to a cross-job feedback store
(REVIEW_FEEDBACK_DIR), which now also receives review decisions with their
category/severity corrections.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0115gGtrSxXE9DKvS9XPFSoT
136 lines
5.1 KiB
Bash
136 lines
5.1 KiB
Bash
# Copy to backend/.env and fill in your OpenRouter key.
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AI_BASE_URL=https://openrouter.ai/api/v1
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AI_API_KEY=sk-or-...
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MODEL=google/gemini-2.5-pro
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# Optional Agent-mode OpenRouter model overrides (inherit MODEL/TEXT_MODEL when blank)
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AGENT_EXTRACT_MODEL=
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AGENT_INDEX_MODEL=
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AGENT_JURISDICTION_MODEL=
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AGENT_LINKER_MODEL=
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AGENT_CONFLICT_MODEL=
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AGENT_CODE_MODEL=
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AGENT_CONSTRUCT_MODEL=
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AGENT_COMPLETENESS_MODEL=
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AGENT_BRAIN_MODEL=
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AGENT_RFI_MODEL=
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# Agent-mode hard scope limits / concurrency
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AGENT_LINK_MAX_ASSERTIONS=60
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AGENT_CLUSTER_MAX_ASSERTIONS=24
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AGENT_CONFLICT_MAX_IMAGES=6
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AGENT_CODE_BATCH_SIZE=60
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AGENT_BRAIN_MAX_TOKENS=16384
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AGENT_LINK_CONCURRENCY=4
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AGENT_CONFLICT_CONCURRENCY=4
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AGENT_SPECIALIST_CONCURRENCY=4
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AGENT_RFI_CONCURRENCY=4
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# -- Review focus toggles -------------------------------------------
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# ENABLE_CODE_REVIEW: run the code/ADA/jurisdiction review path (both pipelines).
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# Default OFF - the product focuses on drawing integrity and cross-discipline
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# coordination, not code/accessibility compliance. Set to 1 to restore it.
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ENABLE_CODE_REVIEW=false
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# ENABLE_DRAWING_INTEGRITY: per-sheet Drawing Integrity QA wave (both pipelines).
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# The drawing-focused pass - dangling references, on-sheet contradictions,
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# dimension sanity, missing sheet essentials, tag hygiene. Default ON.
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ENABLE_DRAWING_INTEGRITY=true
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AGENT_INTEGRITY_MODEL=
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AGENT_INTEGRITY_CONCURRENCY=4
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AGENT_INTEGRITY_MAX_IMAGES=1
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AGENT_INTEGRITY_MAX_ASSERTIONS=80
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INTEGRITY_MAX_TOKENS=16384
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# Skip sheets with fewer than this many extracted objects (too sparse to check)
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INTEGRITY_MIN_ASSERTIONS=3
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# Agent-mode human-review gate (pipeline stops after Brain until a human reviews)
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AGENT_REQUIRE_REVIEW=true
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# Max clean clusters added to the review queue as non-blocking spot-checks
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AGENT_REVIEW_AUDIT_SAMPLE=5
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# Allow future cross-job review-feedback aggregation to include source_text/images/comments
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REVIEW_AGGREGATE_INCLUDE_TEXT=false
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# Review chat: read-only Q&A about findings and coverage on the review screen.
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# It explains what the run did from the job's artifacts; it never changes a
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# finding, a decision, or the report.
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ENABLE_REVIEW_CHAT=true
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# Model for chat answers (blank inherits TEXT_MODEL)
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REVIEW_CHAT_MODEL=
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REVIEW_CHAT_MAX_TOKENS=4096
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# Prior turns replayed into a thread's prompt
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REVIEW_CHAT_HISTORY_TURNS=6
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# Max job.log lines searched into the chat's context bundle
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REVIEW_CHAT_LOG_LINES=40
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REVIEW_CHAT_MAX_QUESTION_CHARS=2000
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# Cross-job store for review decisions + chat turns (blank = backend/outputs/_feedback)
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REVIEW_FEEDBACK_DIR=
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# Pipeline tuning
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PDF_DPI=100
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MAX_PAGES=60
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MAX_DIMENSION=2400
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LLM_TIMEOUT=180
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EXTRACT_MAX_TOKENS=65536
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# Reasoning effort for per-sheet extraction (low keeps Gemini thinking tokens
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# from eating the output budget). Blank = don't send the parameter.
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EXTRACT_REASONING_EFFORT=low
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# Hard thinking-token budget for extraction (OpenRouter reasoning max_tokens /
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# Gemini thinking_budget). Stronger than effort; 0 = fall back to effort only.
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EXTRACT_REASONING_MAX_TOKENS=2048
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REASON_MAX_TOKENS=4096
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EXTRACT_CONCURRENCY=4
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REASON_CONCURRENCY=4
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# Public URL users reach this server on (used for the link in result emails)
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APP_BASE_URL=https://conchecker.scoutitsystems.com
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# APP_BUILD is set by CI at image build time (sha-<short_sha>) - do not set manually.
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# LLM observability (job-log verbosity + raw request/response dumps)
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# LLM_VERBOSE: one line per LLM call in job.log (model, sizes, item counts, cost)
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# LLM_RAW_DUMP: full prompt+response per call in outputs/<job_id>/llm_raw/
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# (base64 images excluded). Both default on; set false to quiet down.
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LLM_VERBOSE=true
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LLM_RAW_DUMP=true
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# Email notifications (optional). Leave SMTP_HOST blank to disable.
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# Examples:
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# Gmail: SMTP_HOST=smtp.gmail.com SMTP_PORT=587 (use an App Password)
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# M365: SMTP_HOST=smtp.office365.com SMTP_PORT=587
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SMTP_HOST=
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SMTP_PORT=587
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SMTP_USER=
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SMTP_PASSWORD=
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SMTP_FROM=
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SMTP_USE_TLS=true
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SMTP_USE_SSL=false
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# Wave 5b evidence verification (vision fact-check of cited sheet text)
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AGENT_VERIFY_MAX_CHECKS=20
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AGENT_VERIFY_SEVERITIES=critical,high
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AGENT_VERIFY_REASONING_EFFORT=low
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VERIFY_MAX_TOKENS=8192
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# Wave 6.5 Brain-directed clarification (bounded hub-and-spoke). After the Brain
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# merge, the Brain names findings it is unsure about; verify_evidence requests
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# route back through the wave-5b verifier. One planning call + at most
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# BRAIN_CLARIFY_MAX_REQUESTS verifications, single iteration. Default ON.
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ENABLE_BRAIN_CLARIFY=true
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BRAIN_CLARIFY_MAX_REQUESTS=8
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BRAIN_CLARIFY_MAX_TOKENS=4096
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# Text-layer grounding (deterministic PDF text layer via PyMuPDF)
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# TEXT_LAYER_ENABLED: master switch for text-layer extraction/grounding
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# TEXT_LAYER_MIN_CHARS: below this per page the sheet stays vision-only
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# TEXT_LAYER_MAX_CHARS: cap of text layer injected into the extractor prompt
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# VERIFY_TEXT_MAX_CHARS: cap of the text-layer excerpt in verify scopes
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# VERIFY_HI_DPI_CROPS: evidence-located high-DPI crops in the verifier
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# VERIFY_CROP_DPI / VERIFY_CROP_MARGIN_PTS: crop render DPI / padding (PDF points)
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TEXT_LAYER_ENABLED=true
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TEXT_LAYER_MIN_CHARS=20
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TEXT_LAYER_MAX_CHARS=12000
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VERIFY_TEXT_MAX_CHARS=8000
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VERIFY_HI_DPI_CROPS=true
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VERIFY_CROP_DPI=300
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VERIFY_CROP_MARGIN_PTS=36
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