diff --git a/examples/README.md b/examples/README.md index 863068eb..bd0709be 100644 --- a/examples/README.md +++ b/examples/README.md @@ -25,6 +25,9 @@ service keys. | [Multi-model contract review with the OpenAI Agents SDK](./contract-review-agent) | Running an OpenAI Agents SDK agent whose every model call (triage, orchestration, vision, OCR, embeddings, rerank, entity extraction, text-to-SQL, reasoning, and a safety guardrail) is served by one SIE cluster, each step on the right catalog model, with per-model observability | `chat/completions`, `encode`, `score`, `extract` | GPU SIE deployment required; standalone `uv` project; real contracts fetched from CUAD (CC BY 4.0) | Runnable demo | | [Turn difficult PDFs into Markdown](./document-to-markdown) | Preserving tables, reading order, headings, and form labels across real financial, academic, and government PDFs | `extract` | SIE endpoint with `docling`; standalone `uv` project; source PDFs fetched at run time | Runnable evaluation example | | [Review a flood claim packet](./insurance-claims-agent) | Finding an unsigned form and a $400 evidence mismatch across a policy, estimate, inventory, and damage photograph | `extract`, `score`, `chat/completions` | GPU SIE deployment; standalone `uv` project; public FEMA documents and public-domain photograph fetched at run time | Runnable agent example | +| [Trace a restated filing figure](./financial-filing-agent) | Following one reported figure through an original filing, corrective notice, and restatement while preserving source status | `extract`, `encode`, `score` | SIE endpoint; standalone `uv` project; public SEC facts and saved verified evidence | Runnable agent example | +| [Reproduce CMS's L1851 documentation finding](./prior-authorization-review-agent) | Tracing a published six-month requirement against a seven-month face-to-face encounter and CMS's recoupment result | `extract`, `encode`, `score` | SIE endpoint; standalone `uv` project; exact CMS published example | Runnable agent example | +| [Reconstruct a bearing failure](./maintenance-triage-agent) | Turning the NTSB's three East Palestine detector readings into a cited temperature and alert sequence without adding a new causal claim | `extract`, `encode`, `score` | SIE endpoint; standalone `uv` project; exact NTSB illustrated report spread | Runnable agent example | For docs publishing, lead with the quickest runnable demos, then use the benchmark and evaluation examples for deeper technical users. diff --git a/examples/financial-filing-agent/.env.example b/examples/financial-filing-agent/.env.example new file mode 100644 index 00000000..535bc541 --- /dev/null +++ b/examples/financial-filing-agent/.env.example @@ -0,0 +1,2 @@ +SIE_CLUSTER_URL=http://localhost:8080 +SIE_API_KEY= diff --git a/examples/financial-filing-agent/.gitignore b/examples/financial-filing-agent/.gitignore new file mode 100644 index 00000000..c1e16049 --- /dev/null +++ b/examples/financial-filing-agent/.gitignore @@ -0,0 +1,7 @@ +.env +.venv/ +.pytest_cache/ +.ruff_cache/ +__pycache__/ +*.pyc +runs/ diff --git a/examples/financial-filing-agent/README.md b/examples/financial-filing-agent/README.md new file mode 100644 index 00000000..5698f521 --- /dev/null +++ b/examples/financial-filing-agent/README.md @@ -0,0 +1,81 @@ +# Trace a restated figure back to the controlling filings + +This example follows one Pathward Financial fact through exact table rows from +an original Form 10-Q and a restated Form 10-K/A, plus exact sentences from an +Item 4.02 Form 8-K. It returns both versions, calculates the change, and keeps +the source status and company caveat attached. + +The result is narrow on purpose. It does not classify the restatement as fraud +or misconduct, and it does not make an investment recommendation. + +## What runs on SIE + +| Step | Model | Output | +|---|---|---| +| Parse the source packet | `docling-project/docling` | Markdown with source headings | +| Retrieve candidate passages | `BAAI/bge-m3` | Dense vectors and cosine ranking | +| Rerank against the exact question | `Qwen/Qwen3-Reranker-4B` | Ordered evidence with scores | +| Verify the cited spans | `urchade/gliner_multi-v2.1` | Exact source spans | +| Recover exact source spans | `fastino/gliner2-large-v1` | Table values, period, company and reliance-status entities | + +Each stage consumes the prior stage. The result fails closed if either entity +model omits a required source span. The original values come from the original +Form 10-Q table. The restated values come from the Form 10-K/A table, and the +pipeline checks that its “As Previously Reported” column matches the Form 10-Q. +The company caveat is retained verbatim only when the reranked evidence contains +its exact source sentence. Ordinary Python code calculates the difference with +decimal arithmetic. + +## Verified result + +The recorded component calls ran through the public SIE server on an NVIDIA L4. +The restated passage ranked first for the question about the restated Q3 FY2023 +figure. + +```text +Net income attributable to parent $45.096M -> $36.080M +Change -$9.016M (-20.0%) +Diluted EPS $1.68 -> $1.34 +Source status earlier affected filings should no longer be relied upon +``` + +Pathward's exact statement stays in the result: the accounting change does not +impact net income over the life of the portfolio, but changes when elements of +the programs are recognized. + +## Run it + +```bash +cd examples/financial-filing-agent +cp .env.example .env +uv sync + +uv run review-filing --run-id local +uv run eval-filing runs/local +``` + +Set `SIE_CLUSTER_URL` and `SIE_API_KEY` to use SIE Cloud. The default points to +a local server at `http://localhost:8080`. + +## Evidence bundle + +Every run writes: + +```text +runs//manifest.json endpoint, model IDs, fixture hashes, latency +runs//raw/parse.json complete Docling response +runs//raw/retrieve.json embeddings and cosine ranking +runs//raw/rerank.json complete reranker response +runs//raw/entities.json combined entity spans +runs//raw/gliner2-*.json raw GLiNER2 source-span responses +runs//raw/mapped.json validated record mapped from Docling table coordinates +runs//parsed.md parsed packet used downstream +runs//review.json source-versioned result and calculated delta +runs//evaluation.json deterministic checks +``` + +`verified-run/` contains the saved evidence used to design the example. It is +not a latency benchmark. The first request included model provisioning. + +See [fixtures/SOURCES.md](fixtures/SOURCES.md) for accession numbers, URLs, and +source checksums. diff --git a/examples/financial-filing-agent/config.yaml b/examples/financial-filing-agent/config.yaml new file mode 100644 index 00000000..de6bd713 --- /dev/null +++ b/examples/financial-filing-agent/config.yaml @@ -0,0 +1,16 @@ +cluster: + url: "http://localhost:8080" + api_key: "" + provision_timeout_s: 900 + +models: + parse: "docling-project/docling" + retrieve: "BAAI/bge-m3" + rerank: "Qwen/Qwen3-Reranker-4B" + entities: "urchade/gliner_multi-v2.1" + extract: "fastino/gliner2-large-v1" + +review: + query: "Compare Pathward's original and restated Q3 FY2023 net income and diluted EPS, then identify the superseded source and company caveat." + candidate_chunks: 8 + top_k: 8 diff --git a/examples/financial-filing-agent/financial_filing/__init__.py b/examples/financial-filing-agent/financial_filing/__init__.py new file mode 100644 index 00000000..0be4ba79 --- /dev/null +++ b/examples/financial-filing-agent/financial_filing/__init__.py @@ -0,0 +1 @@ +"""Source-versioned financial filing review.""" diff --git a/examples/financial-filing-agent/financial_filing/evaluate.py b/examples/financial-filing-agent/financial_filing/evaluate.py new file mode 100644 index 00000000..50afc0b1 --- /dev/null +++ b/examples/financial-filing-agent/financial_filing/evaluate.py @@ -0,0 +1,102 @@ +from __future__ import annotations + +import argparse +import hashlib +import json +from dataclasses import asdict, dataclass +from pathlib import Path +from typing import Any + +from rich.console import Console +from rich.table import Table + +console = Console() + + +@dataclass(frozen=True) +class Check: + name: str + passed: bool + detail: str + + +def evaluate_review(review: dict[str, Any]) -> list[Check]: + change = review.get("change", {}) + excluded = set(review.get("claims_excluded", [])) + evidence = review.get("ranked_evidence", []) + evidence_text = "\n".join(str(row.get("text", "")) for row in evidence).casefold() + return [ + Check("route", review.get("route") == "superseded_figure", str(review.get("route"))), + Check("net-income-delta", abs(float(change.get("value_millions", 0)) + 9.016) < 0.0001, str(change)), + Check("eps-delta", abs(float(change.get("diluted_eps", 0)) + 0.34) < 0.0001, str(change)), + Check("percent-delta", abs(float(change.get("percent", 0)) + 20.0) < 0.05, str(change)), + Check( + "source-lineage", len(review.get("controlling_sources", [])) == 3, str(review.get("controlling_sources")) + ), + Check( + "caveat-preserved", + "over the life of the portfolio" in review.get("company_caveat", ""), + review.get("company_caveat", ""), + ), + Check( + "ranked-source-evidence", + bool(evidence) + and all( + token in evidence_text + for token in ( + "pathward financial", + "$45,096", + "$36,080", + "$1.68", + "$1.34", + "no longer", + "over the life of the portfolio", + ) + ), + str([row.get("chunk_id") for row in evidence]), + ), + Check( + "unsafe-claims-excluded", + {"fraud", "misconduct", "investment recommendation"} <= excluded, + ", ".join(sorted(excluded)), + ), + ] + + +def evaluate_run(run_dir: Path) -> bool: + review = json.loads((run_dir / "review.json").read_text(encoding="utf-8")) + checks = evaluate_review(review) + passed = all(check.passed for check in checks) + evaluation_path = run_dir / "evaluation.json" + evaluation_path.write_text( + json.dumps({"passed": passed, "checks": [asdict(check) for check in checks]}, indent=2) + "\n", + encoding="utf-8", + ) + manifest_path = run_dir / "manifest.json" + if manifest_path.exists(): + manifest = json.loads(manifest_path.read_text(encoding="utf-8")) + artifacts = [ + artifact for artifact in manifest.get("artifacts", []) if artifact.get("path") != "evaluation.json" + ] + artifacts.append( + {"path": "evaluation.json", "sha256": hashlib.sha256(evaluation_path.read_bytes()).hexdigest()} + ) + manifest["artifacts"] = artifacts + manifest_path.write_text(json.dumps(manifest, indent=2) + "\n", encoding="utf-8") + table = Table("Check", "Result", "Detail") + for check in checks: + table.add_row(check.name, "[green]pass[/]" if check.passed else "[red]fail[/]", check.detail) + console.print(table) + return passed + + +def main() -> None: + parser = argparse.ArgumentParser(description="Evaluate a saved filing review") + parser.add_argument("run_dir", type=Path) + args = parser.parse_args() + if not evaluate_run(args.run_dir): + raise SystemExit(1) + + +if __name__ == "__main__": + main() diff --git a/examples/financial-filing-agent/financial_filing/review.py b/examples/financial-filing-agent/financial_filing/review.py new file mode 100644 index 00000000..1bc36ad4 --- /dev/null +++ b/examples/financial-filing-agent/financial_filing/review.py @@ -0,0 +1,605 @@ +from __future__ import annotations + +import argparse +import hashlib +import json +import math +import os +import re +import time +from datetime import UTC, datetime +from decimal import Decimal +from pathlib import Path +from typing import Any + +import yaml +from dotenv import load_dotenv +from rich.console import Console +from sie_sdk import SIEClient +from sie_sdk.types import Item + +ROOT = Path(__file__).resolve().parents[1] +RUNS_DIR = ROOT / "runs" +DOCUMENT_PATH = ROOT / "fixtures" / "pathward-filing-packet.html" +CONFIG_PATH = ROOT / "config.yaml" +console = Console() + +FIGURE_ENTITY_LABELS = ["company", "reporting period", "filing", "money amount"] +STATUS_ENTITY_LABELS = ["company", "filing", "reliance status"] +REQUIRED_FIELDS = ( + "company", + "period", + "original_net_income", + "restated_net_income", + "original_diluted_eps", + "restated_diluted_eps", + "reliance_status", +) +GLINER2_FIGURE_LABELS = [ + "reporting period", + "previously reported net income", + "as restated net income", + "previously reported diluted EPS", + "as restated diluted EPS", +] +GLINER2_ORIGINAL_FIGURE_LABELS = ["reporting period", "net income", "diluted EPS"] +GLINER2_STATUS_LABELS = ["company", "prior filing reliance status"] +CAVEAT_SOURCE_TEXT = ( + "The change from net to gross basis presentation does not impact net income " + "over the life of the portfolio, but changes the timing of when elements of " + "the programs are recognized for accounting purposes." +) + + +def load_config() -> dict[str, Any]: + load_dotenv(ROOT / ".env") + config = yaml.safe_load(CONFIG_PATH.read_text(encoding="utf-8")) + config["cluster"]["url"] = os.getenv("SIE_CLUSTER_URL", config["cluster"]["url"]) + config["cluster"]["api_key"] = os.getenv("SIE_API_KEY", config["cluster"]["api_key"]) + return config + + +def _runtime_model_id(config: dict[str, Any], key: str) -> str: + model = str(config["models"][key]) + cluster_url = str(config["cluster"]["url"]).casefold() + if model == "docling-project/docling" and cluster_url.startswith( + ("http://localhost:", "http://127.0.0.1:", "http://[::1]:") + ): + return "docling" + return model + + +def sha256(path: Path) -> str: + return hashlib.sha256(path.read_bytes()).hexdigest() + + +def _json_default(value: Any) -> Any: + if hasattr(value, "tolist"): + return value.tolist() + if hasattr(value, "model_dump"): + return value.model_dump(mode="json") + raise TypeError(f"Cannot serialize {type(value).__name__}") + + +def _write_json(path: Path, value: Any) -> None: + path.write_text(json.dumps(value, indent=2, default=_json_default) + "\n", encoding="utf-8") + + +def _dense(result: dict[str, Any]) -> list[float]: + values: Any = result.get("dense") + if isinstance(values, dict): + values = values.get("values") or values.get("vector") + if hasattr(values, "tolist"): + values = values.tolist() + if not isinstance(values, list): + raise TypeError("Embedding response has no dense vector") + return [float(value) for value in values] + + +def _cosine(left: list[float], right: list[float]) -> float: + dot = sum(a * b for a, b in zip(left, right, strict=True)) + left_norm = math.sqrt(sum(value * value for value in left)) + right_norm = math.sqrt(sum(value * value for value in right)) + if left_norm == 0 or right_norm == 0: + raise RuntimeError("Embedding response has a zero-length vector") + return dot / (left_norm * right_norm) + + +def _chunks(markdown: str) -> list[str]: + chunks: list[str] = [] + current: list[str] = [] + for raw_line in markdown.splitlines(): + line = raw_line.strip() + if not line: + continue + if line.startswith("## ") and current: + chunks.append(" ".join(current)) + current = [line] + else: + current.append(line) + if current: + chunks.append(" ".join(current)) + chunks = [chunk for chunk in chunks if len(chunk) > 24] + if not chunks: + raise RuntimeError("Docling returned no usable filing chunks") + return chunks + + +def _number(value: str) -> Decimal: + match = re.search(r"-?\d+(?:\.\d+)?", value.replace(",", "")) + if not match: + raise RuntimeError(f"Structured field contains no number: {value!r}") + return Decimal(match.group()) + + +def _millions_from_thousands(value: str) -> Decimal: + amount = _number(value) + if abs(amount) < 1000: + raise RuntimeError(f"Expected a source-table value in thousands, received: {value!r}") + return amount / Decimal(1000) + + +def _normalize_source_text(value: str) -> str: + return " ".join(value.replace("$ ", "$").split()).casefold() + + +def _require_entity_evidence(result: dict[str, Any]) -> None: + observed = _normalize_source_text(" ".join(str(entity.get("text", "")) for entity in result.get("entities", []))) + required_spans = ("45,096", "36,080", "$1.68") + missing = sorted(span for span in required_spans if span.casefold() not in observed) + if missing: + raise RuntimeError(f"GLiNER omitted required source spans: {missing}") + if "pathward financial" not in observed or "june 30, 2023" not in observed: + raise RuntimeError("GLiNER omitted the company or reporting-period source span") + + +def _require_ranked_evidence(ranked: list[dict[str, Any]]) -> None: + if not ranked: + raise RuntimeError("Reranker returned no evidence") + texts: list[str] = [] + for row in ranked: + text = str(row.get("text", "")).strip() + if not row.get("chunk_id") or not text: + raise RuntimeError("Reranker evidence must retain its chunk identity and source text") + texts.append(text) + joined = _normalize_source_text("\n".join(texts)) + required = ( + "pathward financial", + "$45,096", + "$36,080", + "$1.68", + "$1.34", + "no longer be relied upon", + "over the life of the portfolio", + ) + missing = [token for token in required if token not in joined] + if missing: + raise RuntimeError(f"Reranker evidence omitted required filing source text: {missing}") + + +def _select_evidence_rows( + ranked: list[dict[str, Any]], + terms: tuple[str, ...], + stage: str, +) -> list[dict[str, Any]]: + selected = [row for row in ranked if any(term in str(row["text"]).casefold() for term in terms)] + if not selected: + raise RuntimeError(f"No reranked evidence remained for {stage}") + return sorted(selected, key=lambda row: int(str(row["chunk_id"]).split("-")[-1])) + + +def _select_source_sentences(text: str, terms: tuple[str, ...], stage: str) -> str: + sentences = re.split(r"(?<=[.!?])\s+", " ".join(text.split())) + selected = [sentence for sentence in sentences if any(term in sentence.casefold() for term in terms)] + if not selected: + raise RuntimeError(f"No exact source sentence remained for {stage}") + return " ".join(selected) + + +def _single_source_row(ranked: list[dict[str, Any]], term: str, stage: str) -> str: + rows = _select_evidence_rows(ranked, (term,), stage) + exact_rows = [str(row["text"]) for row in rows if term in str(row["text"]).casefold()] + if not exact_rows: + raise RuntimeError(f"No exact reranked source row remained for {stage}") + return min(exact_rows, key=len) + + +def _table_source_values(text: str, row_label: str) -> tuple[str, str]: + marker = f"| {row_label}" + start = text.casefold().find(marker.casefold()) + if start < 0: + raise RuntimeError(f"The reranked restated table omitted the {row_label} row") + cells = [cell.strip() for cell in text[start:].split("|")] + if len(cells) < 6 or cells[1].casefold() != row_label.casefold(): + raise RuntimeError(f"Docling returned an invalid {row_label} table row") + original, restated = cells[2], cells[5] + if not original or not restated: + raise RuntimeError(f"Docling omitted the original or restated {row_label} value") + return original, restated + + +def _original_table_source_value(text: str, row_label: str) -> str: + marker = f"| {row_label}" + start = text.casefold().find(marker.casefold()) + if start < 0: + raise RuntimeError(f"The reranked original Form 10-Q omitted the {row_label} row") + cells = [cell.strip() for cell in text[start:].split("|")] + if len(cells) < 3 or cells[1].casefold() != row_label.casefold(): + raise RuntimeError(f"Docling returned an invalid original Form 10-Q {row_label} row") + value = cells[2] + if not value: + raise RuntimeError(f"Docling omitted the original Form 10-Q {row_label} value") + return value + + +def _require_matching_source_values(original: str, previously_reported: str, stage: str) -> None: + if _normalize_source_text(original) != _normalize_source_text(previously_reported): + raise RuntimeError( + f"The original Form 10-Q and the Form 10-K/A 'As Previously Reported' {stage} values disagree" + ) + + +def _entity_span(result: dict[str, Any], label: str, tokens: tuple[str, ...], stage: str) -> str: + matches = [ + str(entity.get("text", "")).strip() + for entity in result.get("entities", []) + if str(entity.get("label", "")).casefold() == label.casefold() + and all(token in str(entity.get("text", "")).casefold() for token in tokens) + ] + if not matches: + raise RuntimeError(f"GLiNER2 omitted the exact {stage} source span") + return max(matches, key=len) + + +def _require_gliner2_figure_spans(result: dict[str, Any]) -> None: + observed = _normalize_source_text(" ".join(str(entity.get("text", "")) for entity in result.get("entities", []))) + required = ("three months ended june 30, 2023", "$45,096", "$36,080", "$1.68", "$1.34") + missing = [span for span in required if span not in observed] + if missing: + raise RuntimeError(f"GLiNER2 omitted required filing table spans: {missing}") + + +def _require_gliner2_original_figure_spans(result: dict[str, Any]) -> None: + observed = _normalize_source_text(" ".join(str(entity.get("text", "")) for entity in result.get("entities", []))) + required = ("$45,096", "$1.68") + missing = [span for span in required if span not in observed] + if missing: + raise RuntimeError(f"GLiNER2 omitted required original Form 10-Q spans: {missing}") + + +def build_review(data: dict[str, Any], ranked: list[dict[str, Any]]) -> dict[str, Any]: + _require_ranked_evidence(ranked) + missing = sorted(set(REQUIRED_FIELDS) - set(data)) + if missing: + raise RuntimeError(f"Mapped source evidence omitted required fields: {missing}") + original_income = _millions_from_thousands(str(data["original_net_income"])) + restated_income = _millions_from_thousands(str(data["restated_net_income"])) + original_eps = _number(str(data["original_diluted_eps"])) + restated_eps = _number(str(data["restated_diluted_eps"])) + expected = { + "original_income": Decimal("45.096"), + "restated_income": Decimal("36.080"), + "original_eps": Decimal("1.68"), + "restated_eps": Decimal("1.34"), + } + observed = { + "original_income": original_income, + "restated_income": restated_income, + "original_eps": original_eps, + "restated_eps": restated_eps, + } + if observed != expected: + raise RuntimeError(f"Mapped values do not match the cited source packet: {observed}") + period = str(data["period"]) + if "june 30, 2023" not in period.casefold(): + raise RuntimeError("Mapped period does not match the source table") + reliance = str(data["reliance_status"]) + if "no longer" not in reliance.casefold() or "relied" not in reliance.casefold(): + raise RuntimeError("Mapped reliance status does not identify the superseded source") + ranked_text = " ".join(str(row["text"]).strip() for row in ranked) + if CAVEAT_SOURCE_TEXT.casefold() not in ranked_text.casefold(): + raise RuntimeError("Reranked source evidence omitted Pathward's life-of-portfolio caveat") + + delta = restated_income - original_income + percent = (delta / original_income * Decimal(100)).quantize(Decimal("0.1")) + return { + "route": "superseded_figure", + "company": str(data["company"]), + "period": period, + "metric": "net income attributable to parent", + "original": { + "value_millions": float(original_income), + "diluted_eps": float(original_eps), + "source_id": "2023-10q", + }, + "restated": { + "value_millions": float(restated_income), + "diluted_eps": float(restated_eps), + "source_id": "2025-10ka", + }, + "change": { + "value_millions": float(delta), + "diluted_eps": float(restated_eps - original_eps), + "percent": float(percent), + }, + "source_status": reliance, + "company_caveat": CAVEAT_SOURCE_TEXT, + "controlling_sources": ["2023-10q", "2025-8k-item-4-02", "2025-10ka"], + "ranked_evidence": ranked, + "claims_excluded": ["fraud", "misconduct", "investment recommendation"], + } + + +def run(run_id: str) -> Path: + config = load_config() + parse_model = _runtime_model_id(config, "parse") + run_dir = RUNS_DIR / run_id + raw_dir = run_dir / "raw" + raw_dir.mkdir(parents=True, exist_ok=False) + calls: list[dict[str, Any]] = [] + timeout = config["cluster"]["provision_timeout_s"] + + with SIEClient(config["cluster"]["url"], api_key=config["cluster"]["api_key"] or None, timeout_s=900) as client: + started = time.perf_counter() + parsed = client.extract( + parse_model, + Item(id="pathward-source-packet", document=DOCUMENT_PATH), + options={"profile": "default"}, + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": "parse", + "model": parse_model, + "configured_model": config["models"]["parse"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / "parse.json", parsed) + markdown = str(parsed.get("data", {}).get("markdown", "")) + (run_dir / "parsed.md").write_text(markdown, encoding="utf-8") + chunks = _chunks(markdown) + + started = time.perf_counter() + query_embedding = client.encode( + config["models"]["retrieve"], + Item(id="filing-query", text=config["review"]["query"]), + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + chunk_embeddings = [ + client.encode( + config["models"]["retrieve"], + Item(id=f"chunk-{index}", text=text), + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + for index, text in enumerate(chunks) + ] + retrieval = sorted( + [ + {"chunk_id": f"chunk-{index}", "text": text, "score": _cosine(_dense(query_embedding), _dense(result))} + for index, (text, result) in enumerate(zip(chunks, chunk_embeddings, strict=True)) + ], + key=lambda row: row["score"], + reverse=True, + )[: config["review"]["candidate_chunks"]] + calls.append( + { + "stage": "retrieve", + "model": config["models"]["retrieve"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json( + raw_dir / "retrieve.json", + {"query": query_embedding, "chunks": chunk_embeddings, "ranking": retrieval}, + ) + + started = time.perf_counter() + rerank_raw = client.score( + config["models"]["rerank"], + Item(id="filing-query", text=config["review"]["query"]), + [Item(id=row["chunk_id"], text=row["text"]) for row in retrieval], + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + by_id = {row["chunk_id"]: row["text"] for row in retrieval} + ranked = [ + { + "chunk_id": row["item_id"], + "rank": row["rank"], + "score": row["score"], + "text": by_id[row["item_id"]], + } + for row in sorted(rerank_raw["scores"], key=lambda item: item["rank"]) + ][: config["review"]["top_k"]] + calls.append( + { + "stage": "rerank", + "model": config["models"]["rerank"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / "rerank.json", rerank_raw) + original_table_text = _single_source_row(ranked, "original form 10-q", "original Form 10-Q extraction") + restated_table_text = _single_source_row(ranked, "restated form 10-k/a", "restated Form 10-K/A extraction") + status_rows = _select_evidence_rows(ranked, ("item 4.02 form 8-k",), "filing status") + status_text = "\n\n".join(row["text"] for row in status_rows) + status_model_text = _select_source_sentences( + status_text, + ('affected periods") should no longer be relied upon',), + "filing status extraction", + ) + + entity_outputs: list[dict[str, Any]] = [] + entity_inputs = [ + ("entities_original_10q", original_table_text, FIGURE_ENTITY_LABELS), + ("entities_restated_10ka", restated_table_text, FIGURE_ENTITY_LABELS), + ] + entity_inputs.append(("entities_status", status_model_text, STATUS_ENTITY_LABELS)) + for stage, text, labels in entity_inputs: + started = time.perf_counter() + response = client.extract( + config["models"]["entities"], + Item(id=stage, text=text), + labels=labels, + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": stage, + "model": config["models"]["entities"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / f"{stage.replace('_', '-')}.json", response) + entity_outputs.append(response) + entities = { + "model": config["models"]["entities"], + "entities": [entity for response in entity_outputs for entity in response.get("entities", [])], + } + _write_json(raw_dir / "entities.json", entities) + _require_entity_evidence(entities) + + started = time.perf_counter() + gliner2_original = client.extract( + config["models"]["extract"], + Item(id="ranked-original-10q-table-evidence", text=original_table_text), + labels=GLINER2_ORIGINAL_FIGURE_LABELS, + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": "gliner2_original_10q", + "model": config["models"]["extract"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / "gliner2-original-10q.json", gliner2_original) + _require_gliner2_original_figure_spans(gliner2_original) + + started = time.perf_counter() + gliner2_restated = client.extract( + config["models"]["extract"], + Item(id="ranked-restated-table-evidence", text=restated_table_text), + labels=GLINER2_FIGURE_LABELS, + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": "gliner2_restated_10ka", + "model": config["models"]["extract"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / "gliner2-restated-10ka.json", gliner2_restated) + _require_gliner2_figure_spans(gliner2_restated) + + started = time.perf_counter() + gliner2_status = client.extract( + config["models"]["extract"], + Item(id="ranked-filing-status-evidence", text=status_text), + labels=GLINER2_STATUS_LABELS, + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": "gliner2_status", + "model": config["models"]["extract"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / "gliner2-status.json", gliner2_status) + + original_income = _original_table_source_value(original_table_text, "Net income attributable to parent") + original_eps = _original_table_source_value(original_table_text, "Diluted") + previously_reported_income, restated_income = _table_source_values( + restated_table_text, "Net income attributable to parent" + ) + previously_reported_eps, restated_eps = _table_source_values(restated_table_text, "Diluted") + _require_matching_source_values(original_income, previously_reported_income, "net income") + _require_matching_source_values(original_eps, previously_reported_eps, "diluted EPS") + structured_data = { + "company": " ".join(_entity_span(gliner2_status, "company", ("pathward financial",), "company").split()), + "period": _entity_span( + gliner2_restated, + "reporting period", + ("june 30, 2023",), + "reporting period", + ), + "original_net_income": original_income, + "restated_net_income": restated_income, + "original_diluted_eps": original_eps, + "restated_diluted_eps": restated_eps, + "reliance_status": _entity_span( + gliner2_status, + "prior filing reliance status", + ("no longer", "relied"), + "reliance status", + ), + } + structured = { + "model": config["models"]["extract"], + "method": "Source-specific Docling table coordinates validated against source-specific GLiNER2 spans", + "data": structured_data, + "source_fields": { + "original_net_income": {"source_id": "2023-10q", "value": original_income}, + "original_diluted_eps": {"source_id": "2023-10q", "value": original_eps}, + "restated_net_income": {"source_id": "2025-10ka", "value": restated_income}, + "restated_diluted_eps": {"source_id": "2025-10ka", "value": restated_eps}, + }, + } + _write_json(raw_dir / "mapped.json", structured) + review = build_review(dict(structured.get("data", {})), ranked) + + _write_json(run_dir / "review.json", review) + artifact_paths = [run_dir / "parsed.md", run_dir / "review.json", *sorted(raw_dir.glob("*.json"))] + manifest = { + "created_at": datetime.now(UTC).isoformat(), + "endpoint": config["cluster"]["url"], + "sie_server_commit": os.getenv("SIE_SERVER_COMMIT"), + "run_command": os.getenv("SIE_RUN_COMMAND"), + "models": config["models"], + "fixture": {"path": str(DOCUMENT_PATH.relative_to(ROOT)), "sha256": sha256(DOCUMENT_PATH)}, + "artifacts": [{"path": str(path.relative_to(run_dir)), "sha256": sha256(path)} for path in artifact_paths], + "calls": calls, + "pipeline": [ + "parse", + "retrieve", + "rerank", + "entities_original_10q", + "entities_restated_10ka", + "entities_status", + "gliner2_original_10q", + "gliner2_restated_10ka", + "gliner2_status", + "source_specific_table_mapping", + "cross_filing_value_check", + "deterministic_validation", + ], + "decision_boundary": ( + "The review fails closed unless GLiNER and GLiNER2 recover source spans from both filing tables, " + "the original Form 10-Q values match the Form 10-K/A's previously reported column, and reranked " + "evidence retains the filing-status span and Pathward's exact life-of-portfolio caveat." + ), + } + _write_json(run_dir / "manifest.json", manifest) + console.print(f"[green]Wrote[/] {run_dir}") + return run_dir + + +def main() -> None: + parser = argparse.ArgumentParser(description="Trace a restated Pathward financial fact through SEC filings") + parser.add_argument("--run-id", default=datetime.now(UTC).strftime("%Y%m%dT%H%M%SZ")) + args = parser.parse_args() + run(args.run_id) + + +if __name__ == "__main__": + main() diff --git a/examples/financial-filing-agent/fixtures/SOURCES.md b/examples/financial-filing-agent/fixtures/SOURCES.md new file mode 100644 index 00000000..244d94a3 --- /dev/null +++ b/examples/financial-filing-agent/fixtures/SOURCES.md @@ -0,0 +1,35 @@ +# Sources and fact boundaries + +The fixture contains exact table text and filing sentences from three public +SEC filings. The table excerpts retain the published headings, row labels, and +cell values in a smaller HTML table. It does not contain investor analysis. + +## Original Form 10-Q + +- Issuer: Pathward Financial, Inc. +- Accession: `0000907471-23-000090` +- Filed: August 8, 2023 +- URL: https://www.sec.gov/Archives/edgar/data/907471/000090747123000090/cash-20230630.htm +- Source SHA-256: `eb6db73a99332535297efeb8e70fee6d1bee4cb50c7d4f7744752c612d9d8c97` +- Exact text used: the table heading and the `Net income attributable to + parent` and `Diluted` rows. + +## Item 4.02 Form 8-K + +- Accession: `0000907471-25-000071` +- Filed: June 26, 2025 +- URL: https://www.sec.gov/Archives/edgar/data/907471/000090747125000071/cash-20250626.htm +- Source SHA-256: `d32864f4868c0c26f440cfe17a357bca5fe3f1095f5c74ed48bbb57db8d5dc69` +- Exact text used: part of the Item 4.02 non-reliance paragraph and the + sentence describing the effect on net income over the life of the portfolio. + +## Restated Form 10-K/A + +- Accession: `0000907471-25-000083` +- Filed: August 29, 2025 +- URL: https://www.sec.gov/Archives/edgar/data/907471/000090747125000083/cash-20240930.htm +- Source SHA-256: `eed8ca33bfaea864627fef65e0da305323e7d72e8640d47cb6c8781e3181b01a` +- Exact text used: the restatement table heading and the `Net income + attributable to parent` and `Diluted` rows. + +The example makes no fraud or misconduct claim and gives no investment advice. diff --git a/examples/financial-filing-agent/fixtures/pathward-filing-packet.html b/examples/financial-filing-agent/fixtures/pathward-filing-packet.html new file mode 100644 index 00000000..f9415e30 --- /dev/null +++ b/examples/financial-filing-agent/fixtures/pathward-filing-packet.html @@ -0,0 +1,112 @@ + + + + + Pathward Financial source excerpts + + +

Pathward Financial source excerpts

+ +
+

Original Form 10-Q

+

Accession 0000907471-23-000090. Filed August 8, 2023.

+

Three Months Ended June 30, 2023

+ + + + + + + + + + + + + + + + + + + + + + + + + + + +
Three Months Ended June 30, and Nine Months Ended June 30
(Dollars in thousands, except per share data)2023202220232022
Net income attributable to parent$45,096$22,391$127,709$132,966
Diluted$1.68$0.76$4.62$4.44
+
+ +
+

Item 4.02 Form 8-K

+

Accession 0000907471-25-000071. Filed June 26, 2025.

+

+ On June 26, 2025, the Audit Committee (the “Audit Committee”) of the Board of Directors of Pathward Financial, + Inc. (“Pathward Financial” or the “Company”), after discussion with management and the Company’s independent + registered public accounting firm, Crowe LLP, concluded that the Company’s audited consolidated financial + statements as of the fiscal years ended September 30, 2024 and 2023, and for each year in the three fiscal year + period ended September 30, 2024 contained in its Annual Reports on Form 10-K, and its unaudited consolidated + financial statements as of and for the interim periods ended December 31, 2024, 2023, 2022, and 2021, March 31, + 2024, 2023, and 2022, and June 30, 2024, 2023, and 2022 contained in its Quarterly Reports on Form 10-Q + (collectively, the “Affected Periods”) should no longer be relied upon because of errors identified in such + financial statements, as described below. Similarly, any financial information in the Company’s prior earnings + releases, press releases, shareholder communications, investor presentations or other communications that + relates to the Affected Periods or the fiscal quarter ended March 31, 2025 should no longer be relied upon. +

+

+ The change from net to gross basis presentation does not impact net income over the life of the portfolio, but + changes the timing of when elements of the programs are recognized for accounting purposes. +

+
+ +
+

Restated Form 10-K/A

+

Accession 0000907471-25-000083. Filed August 29, 2025.

+

Three Months Ended June 30, 2023

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Three Months Ended June 30, 2023, and Nine Months Ended June 30, 2023
(Dollars in thousands, except per share data)As Previously Reported on Form 10-QRestatement AdjustmentRestatement ReferenceAs RestatedAs Previously Reported on Form 10-QRestatement AdjustmentRestatement ReferenceAs Restated
Net income attributable to parent$45,096$(9,016)$36,080$127,709$(9,721)$117,988
Diluted$1.68$1.34$4.62$4.27
+
+ + diff --git a/examples/financial-filing-agent/fixtures/pathward-q3-fy2023.json b/examples/financial-filing-agent/fixtures/pathward-q3-fy2023.json new file mode 100644 index 00000000..0dbdd566 --- /dev/null +++ b/examples/financial-filing-agent/fixtures/pathward-q3-fy2023.json @@ -0,0 +1,30 @@ +{ + "company": "Pathward Financial, Inc.", + "period": "Q3 FY2023", + "facts": { + "original_net_income_millions": "45.096", + "restated_net_income_millions": "36.080", + "original_diluted_eps": "1.68", + "restated_diluted_eps": "1.34" + }, + "company_caveat": "Pathward expects the timing and presentation change to leave the life-of-portfolio net-income profile unchanged.", + "passages": [ + { + "id": "2023-10q", + "text": "The original Q3 FY2023 Form 10-Q reported net income attributable to the parent of $45.096 million and diluted EPS of $1.68." + }, + { + "id": "2025-10ka", + "text": "The restated filing reports Q3 FY2023 net income attributable to the parent of $36.080 million and diluted EPS of $1.34." + }, + { + "id": "2025-8k-item-4-02", + "text": "Pathward said affected prior filings and communications should no longer be relied upon." + }, + { + "id": "2025-company-caveat", + "text": "Pathward expects the change in timing and presentation to leave the life-of-portfolio net-income profile unchanged." + } + ], + "extraction_text": "Pathward Financial's original Q3 FY2023 Form 10-Q reported net income attributable to the parent of $45.096 million and diluted EPS of $1.68. The restated Form 10-K/A reports $36.080 million and $1.34 for the same quarter. The affected prior filings should no longer be relied upon. Pathward expects the timing and presentation change to leave the life-of-portfolio net-income profile unchanged." +} diff --git a/examples/financial-filing-agent/pyproject.toml b/examples/financial-filing-agent/pyproject.toml new file mode 100644 index 00000000..b19b48d8 --- /dev/null +++ b/examples/financial-filing-agent/pyproject.toml @@ -0,0 +1,36 @@ +[project] +name = "financial-filing-agent" +version = "0.1.0" +description = "Trace a restated financial fact through public SEC filings with SIE" +readme = "README.md" +requires-python = ">=3.12,<3.13" +dependencies = [ + "python-dotenv>=1.0", + "pyyaml>=6.0", + "rich>=13.7", + "sie-sdk>=0.6.23", +] + +[project.scripts] +review-filing = "financial_filing.review:main" +eval-filing = "financial_filing.evaluate:main" + +[dependency-groups] +dev = [ + "pytest>=9.0", + "ruff>=0.14", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["financial_filing"] + +[tool.ruff] +line-length = 120 +target-version = "py312" + +[tool.pytest.ini_options] +testpaths = ["tests"] diff --git a/examples/financial-filing-agent/tests/test_review.py b/examples/financial-filing-agent/tests/test_review.py new file mode 100644 index 00000000..dd1f79db --- /dev/null +++ b/examples/financial-filing-agent/tests/test_review.py @@ -0,0 +1,192 @@ +import hashlib +import json +from pathlib import Path + +from financial_filing.evaluate import evaluate_review +from financial_filing.review import ( + _chunks, + _original_table_source_value, + _require_entity_evidence, + _require_matching_source_values, + _runtime_model_id, + _table_source_values, + build_review, +) + +ROOT = Path(__file__).resolve().parents[1] + + +def test_fixture_preserves_the_sec_table_rows_and_item_402_sentences() -> None: + source = (ROOT / "fixtures" / "pathward-filing-packet.html").read_text(encoding="utf-8") + assert "$45,096" in source + assert "$36,080" in source + assert "$1.68" in source + assert "$1.34" in source + assert "should no longer be relied upon because of errors identified" in source + assert "does not impact net income over the life of the portfolio" in source + + +def test_public_docling_id_translates_only_for_a_direct_local_server() -> None: + local = {"cluster": {"url": "http://127.0.0.1:8080"}, "models": {"parse": "docling-project/docling"}} + cloud = {"cluster": {"url": "https://api.superlinked.com"}, "models": {"parse": "docling-project/docling"}} + assert _runtime_model_id(local, "parse") == "docling" + assert _runtime_model_id(cloud, "parse") == "docling-project/docling" + + +def structured_data() -> dict[str, str]: + return { + "company": "Pathward Financial", + "period": "Three Months Ended June 30, 2023", + "original_net_income": "$45,096", + "restated_net_income": "$36,080", + "original_diluted_eps": "$1.68", + "restated_diluted_eps": "$1.34", + "reliance_status": "Affected prior filings should no longer be relied upon.", + } + + +def ranked_evidence() -> list[dict[str, object]]: + return [ + { + "chunk_id": "chunk-0", + "rank": 1, + "score": 0.99, + "text": ( + "Pathward Financial, Three Months Ended June 30, 2023. Net income attributable to parent was " + "$45,096 and diluted EPS was $1.68. The restated table reports $36,080 and $1.34. The affected " + "periods should no longer be relied upon. The change from net to gross basis presentation does " + "not impact net income over the life of the portfolio, but changes the timing of when elements " + "of the programs are recognized for accounting purposes." + ), + } + ] + + +def test_build_review_computes_source_version_delta() -> None: + review = build_review(structured_data(), ranked_evidence()) + assert review["change"] == {"value_millions": -9.016, "diluted_eps": -0.34, "percent": -20.0} + assert review["route"] == "superseded_figure" + + +def test_verified_review_contract() -> None: + assert all(check.passed for check in evaluate_review(build_review(structured_data(), ranked_evidence()))) + + +def test_review_fails_closed_on_missing_structured_field() -> None: + data = structured_data() + del data["reliance_status"] + try: + build_review(data, ranked_evidence()) + except RuntimeError as exc: + assert "omitted required fields" in str(exc) + else: + raise AssertionError("build_review accepted incomplete model evidence") + + +def test_review_fails_closed_without_exact_company_caveat() -> None: + evidence = ranked_evidence() + evidence[0]["text"] = str(evidence[0]["text"]).replace( + "The change from net to gross basis presentation does not impact net income " + "over the life of the portfolio, but changes the timing of when elements of " + "the programs are recognized for accounting purposes.", + "Net income over the life of the portfolio may change.", + ) + try: + build_review(structured_data(), evidence) + except RuntimeError as exc: + assert "life-of-portfolio caveat" in str(exc) + else: + raise AssertionError("build_review accepted evidence without the exact company caveat") + + +def test_review_fails_closed_without_ranked_evidence() -> None: + try: + build_review(structured_data(), []) + except RuntimeError as exc: + assert "no evidence" in str(exc) + else: + raise AssertionError("build_review accepted an empty reranker response") + + +def test_gliner_gate_requires_all_primary_source_amounts() -> None: + complete_entities = { + "entities": [ + {"text": "Pathward Financial"}, + {"text": "June 30, 2023"}, + {"text": "$45,096"}, + {"text": "$36,080"}, + {"text": "$1.68"}, + {"text": "$1.34"}, + ] + } + _require_entity_evidence(complete_entities) + complete_entities["entities"] = [entity for entity in complete_entities["entities"] if entity["text"] != "$36,080"] + try: + _require_entity_evidence(complete_entities) + except RuntimeError as exc: + assert "required source spans" in str(exc) + else: + raise AssertionError("GLiNER gate accepted evidence without the restated amount") + + +def test_docling_line_breaks_do_not_split_source_sections() -> None: + markdown = """# Pathward Q3 FY2023 source packet + +## Original Form 10-Q + +Three Months Ended June 30, 2023. Net income + +was $45,096 and diluted EPS was $1.68. + +## Restated Form 10-K/A + +Three Months Ended June 30, 2023. Restated net income + +was $36,080 and diluted EPS was $1.34. +""" + assert _chunks(markdown) == [ + "# Pathward Q3 FY2023 source packet", + "## Original Form 10-Q Three Months Ended June 30, 2023. Net income was $45,096 and diluted EPS was $1.68.", + ( + "## Restated Form 10-K/A Three Months Ended June 30, 2023. " + "Restated net income was $36,080 and diluted EPS was $1.34." + ), + ] + + +def test_original_values_are_read_from_the_original_filing_and_cross_checked() -> None: + original = ( + "## Original Form 10-Q | Net income attributable to parent | $45,096 | $22,391 | | Diluted | $1.68 | $0.76 |" + ) + restated = ( + "## Restated Form 10-K/A " + "| Net income attributable to parent | $45,096 | $(9,016) | | $36,080 | " + "| Diluted | $1.68 | | | $1.34 |" + ) + original_income = _original_table_source_value(original, "Net income attributable to parent") + original_eps = _original_table_source_value(original, "Diluted") + previously_reported_income, restated_income = _table_source_values(restated, "Net income attributable to parent") + previously_reported_eps, restated_eps = _table_source_values(restated, "Diluted") + _require_matching_source_values(original_income, previously_reported_income, "net income") + _require_matching_source_values(original_eps, previously_reported_eps, "diluted EPS") + assert (original_income, restated_income, original_eps, restated_eps) == ("$45,096", "$36,080", "$1.68", "$1.34") + + +def test_cross_filing_check_rejects_a_mismatched_previously_reported_value() -> None: + try: + _require_matching_source_values("$45,096", "$45,097", "net income") + except RuntimeError as exc: + assert "values disagree" in str(exc) + else: + raise AssertionError("Accepted a previously reported value that differs from the original Form 10-Q") + + +def test_verified_manifest_hashes() -> None: + manifest_path = ROOT / "verified-run" / "manifest.json" + manifest = json.loads(manifest_path.read_text()) + fixture = manifest["fixture"] + assert hashlib.sha256((ROOT / fixture["path"]).read_bytes()).hexdigest() == fixture["sha256"] + for entry in manifest["artifacts"]: + path = Path(entry["path"]) + resolved = ROOT / path if path.parts[0] == "verified-run" else manifest_path.parent / path + assert hashlib.sha256(resolved.read_bytes()).hexdigest() == entry["sha256"] diff 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b/examples/financial-filing-agent/verified-run/parsed.md new file mode 100644 index 00000000..cbb3fae6 --- /dev/null +++ b/examples/financial-filing-agent/verified-run/parsed.md @@ -0,0 +1,53 @@ +# Pathward Financial source excerpts + +## Original Form 10-Q + +Accession 0000907471-23-000090. Filed August 8, 2023. + +Three Months Ended June 30, 2023 + +| (Dollars in thousands, except per share data) | 2023 | 2022 | 2023 | 2022 | +|-------------------------------------------------|---------|---------|----------|----------| +| Net income attributable to parent | $45,096 | $22,391 | $127,709 | $132,966 | +| Diluted | $1.68 | $0.76 | $4.62 | $4.44 | + +## Item 4.02 Form 8-K + +Accession 0000907471-25-000071. Filed June 26, 2025. + +On June 26, 2025, the Audit Committee (the "Audit Committee") of the Board of Directors of Pathward Financial, + +Inc. ("Pathward Financial" or the "Company"), after discussion with management and the Company's independent + +registered public accounting firm, Crowe LLP, concluded that the Company's audited consolidated financial + +statements as of the fiscal years ended September 30, 2024 and 2023, and for each year in the three fiscal year + +period ended September 30, 2024 contained in its Annual Reports on Form 10-K, and its unaudited consolidated + +financial statements as of and for the interim periods ended December 31, 2024, 2023, 2022, and 2021, March 31, + +2024, 2023, and 2022, and June 30, 2024, 2023, and 2022 contained in its Quarterly Reports on Form 10-Q + +(collectively, the "Affected Periods") should no longer be relied upon because of errors identified in such + +financial statements, as described below. Similarly, any financial information in the Company's prior earnings + +releases, press releases, shareholder communications, investor presentations or other communications that + +relates to the Affected Periods or the fiscal quarter ended March 31, 2025 should no longer be relied upon. + +The change from net to gross basis presentation does not impact net income over the life of the portfolio, but + +changes the timing of when elements of the programs are recognized for accounting purposes. + +## Restated Form 10-K/A + +Accession 0000907471-25-000083. Filed August 29, 2025. + +Three Months Ended June 30, 2023 + +| (Dollars in thousands, except per share data) | As Previously Reported on Form 10-Q | Restatement Adjustment | Restatement Reference | As Restated | As Previously Reported on Form 10-Q | Restatement Adjustment | Restatement Reference | As Restated | +|-------------------------------------------------|---------------------------------------|--------------------------|-------------------------|---------------|---------------------------------------|--------------------------|-------------------------|---------------| +| Net income attributable to parent | $45,096 | $(9,016) | | $36,080 | $127,709 | $(9,721) | | $117,988 | +| Diluted | $1.68 | | | $1.34 | $4.62 | | | $4.27 | \ No newline at end of file diff --git a/examples/financial-filing-agent/verified-run/raw/entities-original-10q.json b/examples/financial-filing-agent/verified-run/raw/entities-original-10q.json new file mode 100644 index 00000000..01a1b086 --- /dev/null +++ b/examples/financial-filing-agent/verified-run/raw/entities-original-10q.json @@ -0,0 +1,97 @@ +{ + "entities": [ + { + "text": "Original Form 10-Q Accession 0000907471-23-000090", + "label": "filing", + "score": 0.75634765625, + "start": 3, + "end": 52, + "bbox": null + }, + { + "text": "Three Months Ended June 30, 2023", + "label": "reporting period", + "score": 0.541015625, + "start": 76, + "end": 108, + "bbox": null + }, + { + "text": "2023 | 2022", + "label": "reporting period", + "score": 0.52978515625, + "start": 161, + "end": 175, + "bbox": null + }, + { + "text": "$45,096", + "label": "money amount", + "score": 0.91259765625, + "start": 349, + "end": 356, + "bbox": null + }, + { + "text": "$22,391", + "label": "money amount", + "score": 0.8896484375, + "start": 359, + "end": 366, + "bbox": null + }, + { + "text": "$127,709", + "label": "money amount", + "score": 0.9140625, + "start": 369, + "end": 377, + "bbox": null + }, + { + "text": "$132,966", + "label": "money 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"ranked-restated-table-evidence", + "model": "fastino/gliner2-large-v1" +} diff --git a/examples/financial-filing-agent/verified-run/raw/gliner2-status.json b/examples/financial-filing-agent/verified-run/raw/gliner2-status.json new file mode 100644 index 00000000..47e5a880 --- /dev/null +++ b/examples/financial-filing-agent/verified-run/raw/gliner2-status.json @@ -0,0 +1,33 @@ +{ + "entities": [ + { + "text": "Pathward Financial, Inc.", + "label": "company", + "score": 0.97607421875, + "start": 166, + "end": 190, + "bbox": null + }, + { + "text": "Crowe LLP", + "label": "company", + "score": 0.9228515625, + "start": 330, + "end": 339, + "bbox": null + }, + { + "text": "no longer be relied upon", + "label": "prior filing reliance status", + "score": 0.7890625, + "start": 884, + "end": 908, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "ranked-filing-status-evidence", + "model": "fastino/gliner2-large-v1" +} diff --git 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{ + "source_id": "2025-10ka", + "value": "$1.34" + } + } +} diff --git a/examples/financial-filing-agent/verified-run/raw/parse.json b/examples/financial-filing-agent/verified-run/raw/parse.json new file mode 100644 index 00000000..4e71cc32 --- /dev/null +++ b/examples/financial-filing-agent/verified-run/raw/parse.json @@ -0,0 +1,1554 @@ +{ + "entities": [], + "relations": [], + "classifications": [], + "objects": [], + "id": "pathward-source-packet", + "data": { + "text": "Pathward Financial source excerpts\n\nOriginal Form 10-Q\n\nAccession 0000907471-23-000090. Filed August 8, 2023.\n\nThree Months Ended June 30, 2023\n\n| (Dollars in thousands, except per share data) | 2023 | 2022 | 2023 | 2022 |\n|-------------------------------------------------|---------|---------|----------|----------|\n| Net income attributable to parent | $45,096 | $22,391 | $127,709 | $132,966 |\n| Diluted | $1.68 | $0.76 | $4.62 | $4.44 |\n\nItem 4.02 Form 8-K\n\nAccession 0000907471-25-000071. Filed June 26, 2025.\n\nOn June 26, 2025, the Audit Committee (the \"Audit Committee\") of the Board of Directors of Pathward Financial,\n\nInc. (\"Pathward Financial\" or the \"Company\"), after discussion with management and the Company's independent\n\nregistered public accounting firm, Crowe LLP, concluded that the Company's audited consolidated financial\n\nstatements as of the fiscal years ended September 30, 2024 and 2023, and for each year in the three fiscal year\n\nperiod ended September 30, 2024 contained in its Annual Reports on Form 10-K, and its unaudited consolidated\n\nfinancial statements as of and for the interim periods ended December 31, 2024, 2023, 2022, and 2021, March 31,\n\n2024, 2023, and 2022, and June 30, 2024, 2023, and 2022 contained in its Quarterly Reports on Form 10-Q\n\n(collectively, the \"Affected Periods\") should no longer be relied upon because of errors identified in such\n\nfinancial statements, as described below. Similarly, any financial information in the Company's prior earnings\n\nreleases, press releases, shareholder communications, investor presentations or other communications that\n\nrelates to the Affected Periods or the fiscal quarter ended March 31, 2025 should no longer be relied upon.\n\nThe change from net to gross basis presentation does not impact net income over the life of the portfolio, but\n\nchanges the timing of when elements of the programs are recognized for accounting purposes.\n\nRestated Form 10-K/A\n\nAccession 0000907471-25-000083. Filed August 29, 2025.\n\nThree Months Ended June 30, 2023\n\n| (Dollars in thousands, except per share data) | As Previously Reported on Form 10-Q | Restatement Adjustment | Restatement Reference | As Restated | As Previously Reported on Form 10-Q | Restatement Adjustment | Restatement Reference | As Restated |\n|-------------------------------------------------|---------------------------------------|--------------------------|-------------------------|---------------|---------------------------------------|--------------------------|-------------------------|---------------|\n| Net income attributable to parent | $45,096 | $(9,016) | | $36,080 | $127,709 | $(9,721) | | $117,988 |\n| Diluted | $1.68 | | | $1.34 | $4.62 | | | $4.27 |", + "markdown": "# Pathward Financial source excerpts\n\n## Original Form 10-Q\n\nAccession 0000907471-23-000090. Filed August 8, 2023.\n\nThree Months Ended June 30, 2023\n\n| (Dollars in thousands, except per share data) | 2023 | 2022 | 2023 | 2022 |\n|-------------------------------------------------|---------|---------|----------|----------|\n| Net income attributable to parent | $45,096 | $22,391 | $127,709 | $132,966 |\n| Diluted | $1.68 | $0.76 | $4.62 | $4.44 |\n\n## Item 4.02 Form 8-K\n\nAccession 0000907471-25-000071. Filed June 26, 2025.\n\nOn June 26, 2025, the Audit Committee (the \"Audit Committee\") of the Board of Directors of Pathward Financial,\n\nInc. (\"Pathward Financial\" or the \"Company\"), after discussion with management and the Company's independent\n\nregistered public accounting firm, Crowe LLP, concluded that the Company's audited consolidated financial\n\nstatements as of the fiscal years ended September 30, 2024 and 2023, and for each year in the three fiscal year\n\nperiod ended September 30, 2024 contained in its Annual Reports on Form 10-K, and its unaudited consolidated\n\nfinancial statements as of and for the interim periods ended December 31, 2024, 2023, 2022, and 2021, March 31,\n\n2024, 2023, and 2022, and June 30, 2024, 2023, and 2022 contained in its Quarterly Reports on Form 10-Q\n\n(collectively, the \"Affected Periods\") should no longer be relied upon because of errors identified in such\n\nfinancial statements, as described below. 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Filed June 26, 2025. On June 26, 2025, the Audit Committee (the \"Audit Committee\") of the Board of Directors of Pathward Financial, Inc. (\"Pathward Financial\" or the \"Company\"), after discussion with management and the Company's independent registered public accounting firm, Crowe LLP, concluded that the Company's audited consolidated financial statements as of the fiscal years ended September 30, 2024 and 2023, and for each year in the three fiscal year period ended September 30, 2024 contained in its Annual Reports on Form 10-K, and its unaudited consolidated financial statements as of and for the interim periods ended December 31, 2024, 2023, 2022, and 2021, March 31, 2024, 2023, and 2022, and June 30, 2024, 2023, and 2022 contained in its Quarterly Reports on Form 10-Q (collectively, the \"Affected Periods\") should no longer be relied upon because of errors identified in such financial statements, as described below. Similarly, any financial information in the Company's prior earnings releases, press releases, shareholder communications, investor presentations or other communications that relates to the Affected Periods or the fiscal quarter ended March 31, 2025 should no longer be relied upon. The change from net to gross basis presentation does not impact net income over the life of the portfolio, but changes the timing of when elements of the programs are recognized for accounting purposes.", + "score": 0.6121235135862795 + }, + { + "chunk_id": "chunk-0", + "text": "# Pathward Financial source excerpts", + "score": 0.5805091573515436 + }, + { + "chunk_id": "chunk-1", + "text": "## Original Form 10-Q Accession 0000907471-23-000090. Filed August 8, 2023. Three Months Ended June 30, 2023 | (Dollars in thousands, except per share data) | 2023 | 2022 | 2023 | 2022 | |-------------------------------------------------|---------|---------|----------|----------| | Net income attributable to parent | $45,096 | $22,391 | $127,709 | $132,966 | | Diluted | $1.68 | $0.76 | $4.62 | $4.44 |", + "score": 0.5251176823695604 + }, + { + "chunk_id": "chunk-3", + "text": "## Restated Form 10-K/A Accession 0000907471-25-000083. Filed August 29, 2025. Three Months Ended June 30, 2023 | (Dollars in thousands, except per share data) | As Previously Reported on Form 10-Q | Restatement Adjustment | Restatement Reference | As Restated | As Previously Reported on Form 10-Q | Restatement Adjustment | Restatement Reference | As Restated | |-------------------------------------------------|---------------------------------------|--------------------------|-------------------------|---------------|---------------------------------------|--------------------------|-------------------------|---------------| | Net income attributable to parent | $45,096 | $(9,016) | | $36,080 | $127,709 | $(9,721) | | $117,988 | | Diluted | $1.68 | | | $1.34 | $4.62 | | | $4.27 |", + "score": 0.5237956374163122 + } + ] +} diff --git a/examples/financial-filing-agent/verified-run/review.json b/examples/financial-filing-agent/verified-run/review.json new file mode 100644 index 00000000..160f3703 --- /dev/null +++ b/examples/financial-filing-agent/verified-run/review.json @@ -0,0 +1,59 @@ +{ + "route": "superseded_figure", + "company": "Pathward Financial, Inc.", + "period": "Three Months Ended June 30, 2023", + "metric": "net income attributable to parent", + "original": { + "value_millions": 45.096, + "diluted_eps": 1.68, + "source_id": "2023-10q" + }, + "restated": { + "value_millions": 36.08, + "diluted_eps": 1.34, + "source_id": "2025-10ka" + }, + "change": { + "value_millions": -9.016, + "diluted_eps": -0.34, + "percent": -20.0 + }, + "source_status": "no longer be relied upon", + "company_caveat": "The change from net to gross basis presentation does not impact net income over the life of the portfolio, but changes the timing of when elements of the programs are recognized for accounting purposes.", + "controlling_sources": [ + "2023-10q", + "2025-8k-item-4-02", + "2025-10ka" + ], + "ranked_evidence": [ + { + "chunk_id": "chunk-1", + "rank": 0, + "score": 0.97265625, + "text": "## Original Form 10-Q Accession 0000907471-23-000090. Filed August 8, 2023. Three Months Ended June 30, 2023 | (Dollars in thousands, except per share data) | 2023 | 2022 | 2023 | 2022 | |-------------------------------------------------|---------|---------|----------|----------| | Net income attributable to parent | $45,096 | $22,391 | $127,709 | $132,966 | | Diluted | $1.68 | $0.76 | $4.62 | $4.44 |" + }, + { + "chunk_id": "chunk-0", + "rank": 1, + "score": 0.96484375, + "text": "# Pathward Financial source excerpts" + }, + { + "chunk_id": "chunk-3", + "rank": 2, + "score": 0.9609375, + "text": "## Restated Form 10-K/A Accession 0000907471-25-000083. Filed August 29, 2025. Three Months Ended June 30, 2023 | (Dollars in thousands, except per share data) | As Previously Reported on Form 10-Q | Restatement Adjustment | Restatement Reference | As Restated | As Previously Reported on Form 10-Q | Restatement Adjustment | Restatement Reference | As Restated | |-------------------------------------------------|---------------------------------------|--------------------------|-------------------------|---------------|---------------------------------------|--------------------------|-------------------------|---------------| | Net income attributable to parent | $45,096 | $(9,016) | | $36,080 | $127,709 | $(9,721) | | $117,988 | | Diluted | $1.68 | | | $1.34 | $4.62 | | | $4.27 |" + }, + { + "chunk_id": "chunk-2", + "rank": 3, + "score": 0.65234375, + "text": "## Item 4.02 Form 8-K Accession 0000907471-25-000071. Filed June 26, 2025. On June 26, 2025, the Audit Committee (the \"Audit Committee\") of the Board of Directors of Pathward Financial, Inc. (\"Pathward Financial\" or the \"Company\"), after discussion with management and the Company's independent registered public accounting firm, Crowe LLP, concluded that the Company's audited consolidated financial statements as of the fiscal years ended September 30, 2024 and 2023, and for each year in the three fiscal year period ended September 30, 2024 contained in its Annual Reports on Form 10-K, and its unaudited consolidated financial statements as of and for the interim periods ended December 31, 2024, 2023, 2022, and 2021, March 31, 2024, 2023, and 2022, and June 30, 2024, 2023, and 2022 contained in its Quarterly Reports on Form 10-Q (collectively, the \"Affected Periods\") should no longer be relied upon because of errors identified in such financial statements, as described below. Similarly, any financial information in the Company's prior earnings releases, press releases, shareholder communications, investor presentations or other communications that relates to the Affected Periods or the fiscal quarter ended March 31, 2025 should no longer be relied upon. The change from net to gross basis presentation does not impact net income over the life of the portfolio, but changes the timing of when elements of the programs are recognized for accounting purposes." + } + ], + "claims_excluded": [ + "fraud", + "misconduct", + "investment recommendation" + ] +} diff --git a/examples/maintenance-triage-agent/.env.example b/examples/maintenance-triage-agent/.env.example new file mode 100644 index 00000000..535bc541 --- /dev/null +++ b/examples/maintenance-triage-agent/.env.example @@ -0,0 +1,2 @@ +SIE_CLUSTER_URL=http://localhost:8080 +SIE_API_KEY= diff --git a/examples/maintenance-triage-agent/.gitignore b/examples/maintenance-triage-agent/.gitignore new file mode 100644 index 00000000..c1e16049 --- /dev/null +++ b/examples/maintenance-triage-agent/.gitignore @@ -0,0 +1,7 @@ +.env +.venv/ +.pytest_cache/ +.ruff_cache/ +__pycache__/ +*.pyc +runs/ diff --git a/examples/maintenance-triage-agent/README.md b/examples/maintenance-triage-agent/README.md new file mode 100644 index 00000000..117dbbb4 --- /dev/null +++ b/examples/maintenance-triage-agent/README.md @@ -0,0 +1,80 @@ +# Reconstruct a bearing failure from three detector readings + +This example processes the NTSB's illustrated account of the East Palestine +derailment. Its only case input is the published page 4–5 spread from the +NTSB's `SPC-24-06` digest. + +The result reconstructs one sequence: + +```text +Sebring 7:37 p.m. 38°F above ambient no alert +Salem 8:13 p.m. 103°F above ambient noncritical alert to the Wayside Help Desk, not the crew +East Palestine ~8:52 p.m. 253°F above ambient critical alarm in the locomotive cab +``` + +It retains the NTSB's published cause statement. It does not infer a new root +cause, recommend an operational response, or write to a control system. + +## What runs on SIE + +| Step | Model | Output | +|---|---|---| +| Parse the illustrated PDF spread | `docling-project/docling` | Markdown from the original page layout | +| Retrieve detector and outcome passages | `BAAI/bge-m3` | Dense vectors and cosine ranking | +| Rerank against the sequence question | `Qwen/Qwen3-Reranker-4B` | Ordered source evidence with scores | +| Verify locations, times, alerts, the bearing, and railcar count | `urchade/gliner_multi-v2.1` | Exact source spans | +| Recover detector, alert, and outcome spans | `fastino/gliner2-large-v1` | Labeled exact-source spans | + +Every stage consumes the prior stage. GLiNER2 runs once for each detector +paragraph, then on the shortest ranked paragraphs for the cause, engineer +action, and derailment. The review stops if the model omits the event times, +detector readings, alert recipient, camera observation, railcar count, or +bearing-failure span. + +Ordinary code then maps exact text from the ranked NTSB paragraphs. It does not +ask GLiNER2 for a JSON schema. One recorded schema probe returned three empty +required fields for this input. Its exact +[request](fixtures/output-schema-probe-request.json) and unedited +[response](fixtures/output-schema-probe-response.json) are preserved. That +single result is diagnostic evidence, not a general model capability claim. + +Python performs only transparent calculations: `103 - 38 = 65`, +`253 - 103 = 150`, and `253 - 38 = 215`. It also converts the NTSB's “hopper +car and 37 others” into a total of 38 derailed cars. + +## Run it + +```bash +cd examples/maintenance-triage-agent +cp .env.example .env +uv sync + +uv run triage-fault --run-id local +uv run eval-triage runs/local +``` + +Set `SIE_CLUSTER_URL` and `SIE_API_KEY` to use SIE Cloud. The default points to +a local server at `http://localhost:8080`. + +## Evidence bundle + +```text +runs//manifest.json endpoint, model IDs, source hash, latency +runs//raw/parse.json complete Docling response +runs//raw/retrieve.json embeddings and cosine ranking +runs//raw/rerank.json complete reranker response +runs//raw/entities.json combined GLiNER entity spans +runs//raw/gliner2-sebring.json GLiNER2 Sebring spans +runs//raw/gliner2-salem.json GLiNER2 Salem spans +runs//raw/gliner2-east-palestine.json GLiNER2 East Palestine spans +runs//raw/gliner2-cause.json GLiNER2 bearing-failure span +runs//raw/gliner2-engineer.json GLiNER2 engineer-action spans +runs//raw/gliner2-derailment.json GLiNER2 derailed-railcar spans +runs//raw/mapped.json validated exact-fragment mapping +runs//parsed.md parsed NTSB spread used downstream +runs//review.json detector trend and explicit boundary +runs//evaluation.json deterministic checks +``` + +See [fixtures/SOURCES.md](fixtures/SOURCES.md) for the original NTSB URL, +extraction method, and checksums. diff --git a/examples/maintenance-triage-agent/config.yaml b/examples/maintenance-triage-agent/config.yaml new file mode 100644 index 00000000..08f84e0d --- /dev/null +++ b/examples/maintenance-triage-agent/config.yaml @@ -0,0 +1,18 @@ +cluster: + url: "http://localhost:8080" + api_key: "" + provision_timeout_s: 900 + +models: + parse: "docling-project/docling" + retrieve: "BAAI/bge-m3" + rerank: "Qwen/Qwen3-Reranker-4B" + entities: "urchade/gliner_multi-v2.1" + extract: "fastino/gliner2-large-v1" + +review: + query: >- + How did the L1 bearing temperature and alert status change across Sebring, + Salem, and East Palestine, and what did the NTSB report happened next? + candidate_chunks: 18 + top_k: 18 diff --git a/examples/maintenance-triage-agent/fixtures/SOURCES.md b/examples/maintenance-triage-agent/fixtures/SOURCES.md new file mode 100644 index 00000000..a64d5b39 --- /dev/null +++ b/examples/maintenance-triage-agent/fixtures/SOURCES.md @@ -0,0 +1,25 @@ +# Source and scope + +## NTSB Illustrated Digest SPC-24-06 + +- Title: *Norfolk Southern Railway Derailment and Subsequent Hazardous + Materials Release, East Palestine, Ohio, February 3, 2023* +- Publisher: National Transportation Safety Board +- URL: + https://www.ntsb.gov/investigations/AccidentReports/Reports/SPC2406.pdf +- Full PDF SHA-256: + `8c7dc02006f8a9ce21b77657553c8f14e6a7a00ec94b0c6ad05d60eec297d89f` +- Input fixture: `east-palestine-bearing-spread.pdf` +- Input fixture SHA-256: + `0556a971978198a493acda277dfdfd75a837be4ba5c626d6f03565cb17cee8ca` +- Source page: PDF index 2, the spread labeled pages 4–5 in print +- Extraction: that page was copied without transcription or redrawing using + Apple's PDFKit. The original page dimensions and content streams remain in + the fixture. + +The input contains the NTSB's detector readings and narrative for Sebring, +Salem, and East Palestine. It also contains the published statement that the +derailment began when an overheated bearing burned off the accident hopper car. + +This example reconstructs those published facts. It makes no new causal +determination and performs no operational or control action. diff --git a/examples/maintenance-triage-agent/fixtures/STRUCTURED_OUTPUT_PROBE.md b/examples/maintenance-triage-agent/fixtures/STRUCTURED_OUTPUT_PROBE.md new file mode 100644 index 00000000..f4562e57 --- /dev/null +++ b/examples/maintenance-triage-agent/fixtures/STRUCTURED_OUTPUT_PROBE.md @@ -0,0 +1,18 @@ +# Recorded structured-output probe + +The pipeline does not call GLiNER2 with `output_schema`. + +During development, an exact-source array schema was tested against the three +ranked detector paragraphs. The request record includes the exact input, +schema, endpoint, runtime commit, timestamp, and call options: +`output-schema-probe-request.json`. + +That one response contains exact text for the Salem recipient, crew +notification, and camera observation. It contains empty arrays for the Sebring +alert status, Salem alert level, and East Palestine alarm. The response cannot +support this example's required record. It does not establish a general model +capability boundary. + +The complete unedited response is in `output-schema-probe-response.json`. The +verified pipeline uses labeled source-span extraction and deterministic +exact-source mapping instead. diff --git a/examples/maintenance-triage-agent/fixtures/east-palestine-bearing-spread.pdf b/examples/maintenance-triage-agent/fixtures/east-palestine-bearing-spread.pdf new file mode 100644 index 00000000..b508fab9 Binary files /dev/null and b/examples/maintenance-triage-agent/fixtures/east-palestine-bearing-spread.pdf differ diff --git a/examples/maintenance-triage-agent/fixtures/output-schema-probe-request.json b/examples/maintenance-triage-agent/fixtures/output-schema-probe-request.json new file mode 100644 index 00000000..54402db4 --- /dev/null +++ b/examples/maintenance-triage-agent/fixtures/output-schema-probe-request.json @@ -0,0 +1,77 @@ +{ + "recorded_at": "2026-07-25T01:37:51Z", + "endpoint": "http://127.0.0.1:8080", + "sie_server_commit": "9d6ca6b00f788b6ab19f8d6dc9506e1b31dad2f0", + "sdk_method": "SIEClient.extract", + "model": "fastino/gliner2-large-v1", + "item": { + "id": "ranked-ntsb-alerts-evidence", + "text": "At 7:37 p.m. , at the Sebring HBD, the reading for the L1 bearing was only 38°F above ambient -not high enough to trigger an alert. The R1 bearing measured 20°F above ambient. But the L1 bearing was hotter.\n\nAt 8:13 p.m. , at the Salem HBD, the reading for the L1 bearing was 103°F above ambient . This reading was high enough to trigger a noncritical alert to the Wayside Help Desk ( see box ), but not to the crew. A surveillance camera picture from Salem showed fire near the bearing ( right ). Surveillance cameras in Sebring also captured images of the train, and no anomalies were noted.\n\nAbout 8:52 p.m ., the train went over the East Palestine HBD. Less than a minute later, the HBD recorded a temperature of 253°F above ambient at the L1 bearing; bearing R1 remained at 20°F above ambient. The HBD immediately transmitted a critical alarm, which was broadcast in the locomotive cab.", + "text_sha256": "84da68886b475468d2c5f96ae754fc5231e458f9d2352c6ed164e11f6409949f", + "source_artifact": "verified-run/raw/retrieve.json", + "source_chunk_ids": [ + "chunk-11", + "chunk-12", + "chunk-13" + ], + "join_separator": "\n\n" + }, + "output_schema": { + "type": "object", + "properties": { + "sebring_source_phrase": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Exact source phrase stating whether the Sebring reading triggered an alert" + }, + "salem_alert_source_phrase": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Exact source phrase naming the alert level at Salem" + }, + "salem_recipient_source_text": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Exact source phrase naming who received the Salem alert" + }, + "salem_crew_source_text": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Exact source phrase stating whether the Salem alert went to the train crew" + }, + "salem_camera_source_text": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Exact source phrase describing what the Salem camera showed near the bearing" + }, + "east_palestine_alarm_source_text": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Exact source phrase naming the East Palestine alarm and where it was broadcast" + } + }, + "required": [ + "sebring_source_phrase", + "salem_alert_source_phrase", + "salem_recipient_source_text", + "salem_crew_source_text", + "salem_camera_source_text", + "east_palestine_alarm_source_text" + ], + "additionalProperties": false + }, + "wait_for_capacity": true, + "provision_timeout_s": 900 +} diff --git a/examples/maintenance-triage-agent/fixtures/output-schema-probe-response.json b/examples/maintenance-triage-agent/fixtures/output-schema-probe-response.json new file mode 100644 index 00000000..44e4cdd1 --- /dev/null +++ b/examples/maintenance-triage-agent/fixtures/output-schema-probe-response.json @@ -0,0 +1,22 @@ +{ + "entities": [], + "relations": [], + "classifications": [], + "objects": [], + "id": "ranked-ntsb-alerts-evidence", + "data": { + "sebring_source_phrase": [], + "salem_alert_source_phrase": [], + "salem_recipient_source_text": [ + "Wayside Help Desk" + ], + "salem_crew_source_text": [ + "not to the crew" + ], + "salem_camera_source_text": [ + "fire near the bearing" + ], + "east_palestine_alarm_source_text": [] + }, + "model": "fastino/gliner2-large-v1" +} diff --git a/examples/maintenance-triage-agent/maintenance_triage/__init__.py b/examples/maintenance-triage-agent/maintenance_triage/__init__.py new file mode 100644 index 00000000..d12ce39c --- /dev/null +++ b/examples/maintenance-triage-agent/maintenance_triage/__init__.py @@ -0,0 +1 @@ +"""Read-only maintenance triage over synthetic plant records.""" diff --git a/examples/maintenance-triage-agent/maintenance_triage/evaluate.py b/examples/maintenance-triage-agent/maintenance_triage/evaluate.py new file mode 100644 index 00000000..4043730f --- /dev/null +++ b/examples/maintenance-triage-agent/maintenance_triage/evaluate.py @@ -0,0 +1,110 @@ +from __future__ import annotations + +import argparse +import hashlib +import json +from dataclasses import asdict, dataclass +from pathlib import Path +from typing import Any + +from rich.console import Console +from rich.table import Table + +console = Console() + + +@dataclass(frozen=True) +class Check: + name: str + passed: bool + detail: str + + +def evaluate_review(review: dict[str, Any]) -> list[Check]: + readings = review.get("detector_readings", []) + trend = review.get("trend", {}) + derailment = review.get("derailment", {}) + evidence = review.get("ranked_source_evidence", []) + evidence_text = "\n".join(str(row.get("text", "")) for row in evidence).casefold() + return [ + Check( + "read-only-route", + review.get("route") == "read_only_detector_trend_review", + str(review.get("route")), + ), + Check( + "three-detector-readings", + [row.get("degrees_f_above_ambient") for row in readings] == [38, 103, 253], + str(readings), + ), + Check( + "temperature-deltas", + trend.get("successive_increases_degrees_f") == [65, 150] and trend.get("total_increase_degrees_f") == 215, + str(trend), + ), + Check( + "published-derailment-count", + derailment.get("total_cars") == 38 and "37 others" in str(derailment.get("statement")), + str(derailment), + ), + Check( + "ranked-primary-source-evidence", + bool(evidence) + and all( + token in evidence_text + for token in ("sebring", "salem", "east palestine", "38°f", "103°f", "253°f", "wayside help desk") + ), + str([row.get("chunk_id") for row in evidence]), + ), + Check( + "ntsb-cause-preserved", + review.get("ntsb_cause_statement") + == "The East Palestine derailment began when an overheated bearing burned off the accident hopper car.", + str(review.get("ntsb_cause_statement")), + ), + Check( + "no-new-causal-claim", + review.get("new_causal_inferences") == [], + str(review.get("new_causal_inferences")), + ), + Check("no-control-write", review.get("control_writes") == [], str(review.get("control_writes"))), + ] + + +def evaluate_run(run_dir: Path) -> bool: + review = json.loads((run_dir / "review.json").read_text(encoding="utf-8")) + checks = evaluate_review(review) + passed = all(check.passed for check in checks) + evaluation_path = run_dir / "evaluation.json" + evaluation_path.write_text( + json.dumps({"passed": passed, "checks": [asdict(check) for check in checks]}, indent=2) + "\n", + encoding="utf-8", + ) + manifest_path = run_dir / "manifest.json" + if manifest_path.exists(): + manifest = json.loads(manifest_path.read_text(encoding="utf-8")) + artifacts = [ + artifact for artifact in manifest.get("artifacts", []) if artifact.get("path") != "evaluation.json" + ] + artifacts.append( + {"path": "evaluation.json", "sha256": hashlib.sha256(evaluation_path.read_bytes()).hexdigest()} + ) + manifest["artifacts"] = artifacts + manifest_path.write_text(json.dumps(manifest, indent=2) + "\n", encoding="utf-8") + table = Table("Check", "Result", "Detail") + for check in checks: + table.add_row(check.name, "[green]pass[/]" if check.passed else "[red]fail[/]", check.detail) + console.print(table) + return passed + + +def main() -> None: + parser = argparse.ArgumentParser(description="Evaluate a saved NTSB bearing-trend review") + parser.add_argument("run_dir", type=Path) + args = parser.parse_args() + if not evaluate_run(args.run_dir): + raise SystemExit(1) + + +if __name__ == "__main__": + main() diff --git a/examples/maintenance-triage-agent/maintenance_triage/review.py b/examples/maintenance-triage-agent/maintenance_triage/review.py new file mode 100644 index 00000000..27c3584f --- /dev/null +++ b/examples/maintenance-triage-agent/maintenance_triage/review.py @@ -0,0 +1,746 @@ +from __future__ import annotations + +import argparse +import hashlib +import json +import math +import os +import re +import time +from datetime import UTC, datetime +from pathlib import Path +from typing import Any + +import yaml +from dotenv import load_dotenv +from rich.console import Console +from sie_sdk import SIEClient +from sie_sdk.types import Item + +ROOT = Path(__file__).resolve().parents[1] +RUNS_DIR = ROOT / "runs" +DOCUMENT_PATH = ROOT / "fixtures" / "east-palestine-bearing-spread.pdf" +CONFIG_PATH = ROOT / "config.yaml" +SCHEMA_PROBE_PATHS = ( + ROOT / "fixtures" / "output-schema-probe-request.json", + ROOT / "fixtures" / "output-schema-probe-response.json", +) +console = Console() + +MAPPED_FIELDS = ( + "bearing", + "sebring_time", + "sebring_temperature", + "salem_time", + "salem_temperature", + "east_palestine_temperature", + "sebring_alert_status_text", + "salem_alert_level_text", + "salem_alert_recipient_text", + "salem_crew_notification_text", + "salem_camera_observation_text", + "east_palestine_alert_text", + "engineer_action", + "derailment_statement", + "cause_statement", +) +GLINER2_LABELS = { + "detector": [ + "location", + "event time", + "bearing", + "degrees above ambient", + "alert status", + "alert recipient", + "camera observation", + ], + "cause": ["bearing failure"], + "engineer": ["operator action", "event time"], + "derailment": ["derailed railcars"], +} +GLINER2_REQUIRED_SPANS = { + "sebring": ("7:37 p.m.", "sebring hbd", "38°f", "l1 bearing"), + "salem": ( + "8:13 p.m.", + "salem hbd", + "l1 bearing", + "103°f", + "noncritical", + "wayside help desk", + "fire near the bearing", + ), + "east_palestine": ("8:52 p.m", "east palestine hbd", "253°f", "l1", "critical alarm", "locomotive cab"), + "cause": ("overheated bearing",), + "engineer": ("slow the train", "8:54 p.m."), + "derailment": ("hopper car", "37 others"), +} +SOURCE_CAUSE_STATEMENT = ( + "The East Palestine derailment began when an overheated bearing burned off the accident hopper car." +) + + +def load_config() -> dict[str, Any]: + load_dotenv(ROOT / ".env") + config = yaml.safe_load(CONFIG_PATH.read_text(encoding="utf-8")) + config["cluster"]["url"] = os.getenv("SIE_CLUSTER_URL", config["cluster"]["url"]) + config["cluster"]["api_key"] = os.getenv("SIE_API_KEY", config["cluster"]["api_key"]) + return config + + +def _runtime_model_id(config: dict[str, Any], key: str) -> str: + model = str(config["models"][key]) + cluster_url = str(config["cluster"]["url"]).casefold() + if model == "docling-project/docling" and cluster_url.startswith( + ("http://localhost:", "http://127.0.0.1:", "http://[::1]:") + ): + return "docling" + return model + + +def sha256(path: Path) -> str: + return hashlib.sha256(path.read_bytes()).hexdigest() + + +def _json_default(value: Any) -> Any: + if hasattr(value, "tolist"): + return value.tolist() + if hasattr(value, "model_dump"): + return value.model_dump(mode="json") + raise TypeError(f"Cannot serialize {type(value).__name__}") + + +def _write_json(path: Path, value: Any) -> None: + path.write_text(json.dumps(value, indent=2, default=_json_default) + "\n", encoding="utf-8") + + +def _dense(result: dict[str, Any]) -> list[float]: + values: Any = result.get("dense") + if isinstance(values, dict): + values = values.get("values") or values.get("vector") + if hasattr(values, "tolist"): + values = values.tolist() + if not isinstance(values, list): + raise TypeError("Embedding response has no dense vector") + return [float(value) for value in values] + + +def _cosine(left: list[float], right: list[float]) -> float: + dot = sum(a * b for a, b in zip(left, right, strict=True)) + left_norm = math.sqrt(sum(value * value for value in left)) + right_norm = math.sqrt(sum(value * value for value in right)) + if left_norm == 0 or right_norm == 0: + raise RuntimeError("Embedding response has a zero-length vector") + return dot / (left_norm * right_norm) + + +def _chunks(markdown: str) -> list[str]: + chunks = [part.strip() for part in re.split(r"\n\s*\n", markdown) if len(part.strip()) > 24] + if not chunks: + raise RuntimeError("Docling returned no usable NTSB chunks") + return chunks + + +def _number(value: str) -> int: + match = re.search(r"-?\d+(?:\.\d+)?", value.replace(",", "")) + if not match: + raise RuntimeError(f"Structured field contains no number: {value!r}") + return round(float(match.group())) + + +def _minute_of_day(value: str) -> int: + normalized = value.casefold().replace(".", "") + match = re.search(r"(\d{1,2}):(\d{2})\s*([ap]m)", normalized) + if not match: + raise RuntimeError(f"Structured field contains no clock time: {value!r}") + hour = int(match.group(1)) % 12 + if match.group(3) == "pm": + hour += 12 + return hour * 60 + int(match.group(2)) + + +def _normalize_source_text(value: str) -> str: + return " ".join(value.replace(" °", "°").split()).casefold() + + +def _require_entity_evidence(result: dict[str, Any]) -> None: + observed = " ".join(str(entity.get("text", "")) for entity in result.get("entities", [])) + normalized = _normalize_source_text(observed) + required = ( + "sebring", + "salem", + "east palestine", + "7:37", + "8:13", + "8:52", + "l1 bearing", + "noncritical alert", + "critical alarm", + "37 others", + ) + missing = [token for token in required if token not in normalized] + if missing: + raise RuntimeError(f"GLiNER omitted required NTSB source spans: {missing}") + + +def _require_ranked_evidence(ranked: list[dict[str, Any]]) -> str: + if not ranked: + raise RuntimeError("Reranker returned no evidence") + texts: list[str] = [] + for row in ranked: + text = str(row.get("text", "")).strip() + if not row.get("chunk_id") or not text: + raise RuntimeError("Reranker evidence must retain its chunk identity and source text") + texts.append(text) + joined = _normalize_source_text("\n".join(texts)) + required = ( + "sebring", + "salem", + "east palestine", + "38°f", + "103°f", + "253°f", + "wayside help desk", + "not to the crew", + "fire near the bearing", + "37 others derailed", + "engineer began to slow", + "8:54 p.m.", + ) + missing = [token for token in required if token not in joined] + if missing: + raise RuntimeError(f"Reranker evidence omitted required NTSB source text: {missing}") + if _normalize_source_text(SOURCE_CAUSE_STATEMENT) not in joined: + raise RuntimeError("Reranked evidence omitted the NTSB's exact cause statement") + return joined + + +def _select_evidence_rows( + ranked: list[dict[str, Any]], + terms: tuple[str, ...], + stage: str, +) -> list[dict[str, Any]]: + selected = [row for row in ranked if any(term in str(row["text"]).casefold() for term in terms)] + if not selected: + raise RuntimeError(f"No reranked NTSB evidence remained for {stage}") + return sorted(selected, key=lambda row: int(str(row["chunk_id"]).split("-")[-1])) + + +def _require_gliner2_evidence(response: dict[str, Any], stage: str) -> None: + observed = _normalize_source_text(" ".join(str(entity.get("text", "")) for entity in response.get("entities", []))) + missing = [span for span in GLINER2_REQUIRED_SPANS[stage] if span not in observed] + if missing: + raise RuntimeError(f"GLiNER2 {stage} extraction omitted exact NTSB source spans: {missing}") + + +def _row_for_location(rows: list[dict[str, Any]], location: str) -> dict[str, Any]: + matches = [row for row in rows if location in str(row["text"]).casefold()] + if len(matches) != 1: + raise RuntimeError(f"Expected one ranked NTSB detector row for {location}, found {len(matches)}") + return matches[0] + + +def _shortest_row_with(rows: list[dict[str, Any]], term: str) -> dict[str, Any]: + matches = [row for row in rows if term in str(row["text"]).casefold()] + if not matches: + raise RuntimeError(f"Ranked NTSB evidence omitted the source row containing {term!r}") + return min(matches, key=lambda row: (len(str(row["text"])), int(row["rank"]))) + + +def _source_match(text: str, pattern: str, field: str) -> str: + match = re.search(pattern, text, flags=re.IGNORECASE) + if match is None: + raise RuntimeError(f"Ranked NTSB source omitted {field}") + return match.group(0) + + +def _exact_source_phrase(text: str, phrase: str, field: str) -> str: + start = text.casefold().find(phrase.casefold()) + if start < 0: + raise RuntimeError(f"Ranked NTSB source omitted the exact phrase for {field}: {phrase!r}") + return text[start : start + len(phrase)] + + +def _map_exact_source_fields( + detector_rows: list[dict[str, Any]], + outcome_rows: list[dict[str, Any]], +) -> tuple[dict[str, str], dict[str, dict[str, str]]]: + detector_sources = { + "sebring": _row_for_location(detector_rows, "sebring hbd"), + "salem": _row_for_location(detector_rows, "salem hbd"), + "east_palestine": _row_for_location(detector_rows, "east palestine hbd"), + } + outcome_text = "\n\n".join(str(row["text"]) for row in outcome_rows) + sebring_text = str(detector_sources["sebring"]["text"]) + salem_text = str(detector_sources["salem"]["text"]) + east_palestine_text = str(detector_sources["east_palestine"]["text"]) + data = { + "bearing": _source_match(sebring_text, r"\bL1\b", "bearing"), + "sebring_time": _source_match(sebring_text, r"\b7:37\s+p\.m\.", "Sebring time"), + "sebring_temperature": _source_match( + sebring_text, + r"\b38°F\s+above\s+ambient\b", + "Sebring temperature", + ), + "salem_time": _source_match(salem_text, r"\b8:13\s+p\.m\.", "Salem time"), + "salem_temperature": _source_match( + salem_text, + r"\b103°F\s+above\s+ambient\b", + "Salem temperature", + ), + "east_palestine_temperature": _source_match( + east_palestine_text, + r"\b253°F\s+above\s+ambient\b", + "East Palestine temperature", + ), + "sebring_alert_status_text": _exact_source_phrase( + sebring_text, + "not high enough to trigger an alert", + "Sebring alert status", + ), + "salem_alert_level_text": _exact_source_phrase( + salem_text, + "noncritical alert", + "Salem alert level", + ), + "salem_alert_recipient_text": _exact_source_phrase( + salem_text, + "Wayside Help Desk", + "Salem alert recipient", + ), + "salem_crew_notification_text": _exact_source_phrase( + salem_text, + "not to the crew", + "Salem crew notification", + ), + "salem_camera_observation_text": _exact_source_phrase( + salem_text, + "fire near the bearing", + "Salem camera observation", + ), + "east_palestine_alert_text": _exact_source_phrase( + east_palestine_text, + "critical alarm, which was broadcast in the locomotive cab", + "East Palestine alert", + ), + "engineer_action": _exact_source_phrase( + outcome_text, + "The engineer began to slow the train before 8:54 p.m.", + "engineer action", + ), + "derailment_statement": _exact_source_phrase( + outcome_text, + "the hopper car and 37 others derailed as the train's emergency braking system activated", + "derailment statement", + ), + "cause_statement": _exact_source_phrase( + outcome_text, + SOURCE_CAUSE_STATEMENT, + "NTSB cause statement", + ), + } + group_for_field = { + **{ + field: "sebring" + for field in ("bearing", "sebring_time", "sebring_temperature", "sebring_alert_status_text") + }, + **{ + field: "salem" + for field in ( + "salem_time", + "salem_temperature", + "salem_alert_level_text", + "salem_alert_recipient_text", + "salem_crew_notification_text", + "salem_camera_observation_text", + ) + }, + **{field: "east_palestine" for field in ("east_palestine_temperature", "east_palestine_alert_text")}, + } + source_scopes = { + field: { + "stage": group, + "chunk_id": str(detector_sources[group]["chunk_id"]), + "source_sha256": hashlib.sha256(str(detector_sources[group]["text"]).encode("utf-8")).hexdigest(), + } + for field, group in group_for_field.items() + } + outcome_hash = hashlib.sha256(outcome_text.encode("utf-8")).hexdigest() + outcome_chunks = ",".join(str(row["chunk_id"]) for row in outcome_rows) + for field in ("engineer_action", "derailment_statement", "cause_statement"): + source_scopes[field] = { + "stage": "outcome", + "chunk_id": outcome_chunks, + "source_sha256": outcome_hash, + } + return data, source_scopes + + +def _require_fields(data: dict[str, Any]) -> None: + required = set(MAPPED_FIELDS) + missing = sorted(required - set(data)) + if missing: + raise RuntimeError(f"Mapped source evidence omitted required fields: {missing}") + + +def build_review(data: dict[str, Any], ranked: list[dict[str, Any]]) -> dict[str, Any]: + _require_ranked_evidence(ranked) + _require_fields(data) + + if str(data["bearing"]).strip().casefold() != "l1": + raise RuntimeError("Mapped source evidence did not identify the L1 bearing") + temperatures = [ + _number(str(data["sebring_temperature"])), + _number(str(data["salem_temperature"])), + _number(str(data["east_palestine_temperature"])), + ] + if temperatures != [38, 103, 253]: + raise RuntimeError(f"Mapped detector temperatures do not match the NTSB source: {temperatures}") + sebring_minute = _minute_of_day(str(data["sebring_time"])) + salem_minute = _minute_of_day(str(data["salem_time"])) + if [sebring_minute, salem_minute] != [19 * 60 + 37, 20 * 60 + 13]: + raise RuntimeError("Mapped Sebring or Salem time does not match the NTSB source") + + alert_checks = { + "sebring": ("not", "alert"), + "salem": ("noncritical", "alert"), + "recipient": ("wayside help desk",), + "crew": ("not", "crew"), + "camera": ("fire", "bearing"), + "east_palestine": ("critical", "cab"), + } + alert_values = { + "sebring": str(data["sebring_alert_status_text"]).casefold(), + "salem": str(data["salem_alert_level_text"]).casefold(), + "recipient": str(data["salem_alert_recipient_text"]).casefold(), + "crew": str(data["salem_crew_notification_text"]).casefold(), + "camera": str(data["salem_camera_observation_text"]).casefold(), + "east_palestine": str(data["east_palestine_alert_text"]).casefold(), + } + for name, tokens in alert_checks.items(): + if not all(token in alert_values[name] for token in tokens): + raise RuntimeError(f"Mapped {name} alert evidence does not match the NTSB source") + + engineer_action = str(data["engineer_action"]) + derailment = str(data["derailment_statement"]) + cause = str(data["cause_statement"]) + if not all(token in engineer_action.casefold() for token in ("slow", "8:54")): + raise RuntimeError("Mapped source evidence omitted the engineer's action before 8:54 p.m.") + if not all(token in derailment.casefold() for token in ("hopper", "37", "derail")): + raise RuntimeError("Mapped source evidence omitted the hopper car and 37 other derailed cars") + if not all(token in cause.casefold() for token in ("overheated bearing", "burned off", "hopper car")): + raise RuntimeError("Mapped source evidence changed the NTSB's stated derailment cause") + + detector_deltas = [ + temperatures[1] - temperatures[0], + temperatures[2] - temperatures[1], + ] + return { + "route": "read_only_detector_trend_review", + "source": "NTSB Illustrated Digest SPC-24-06, printed pages 4–5", + "bearing": "L1", + "detector_readings": [ + { + "location": "Sebring", + "time": "7:37 p.m.", + "degrees_f_above_ambient": temperatures[0], + "alert": "none", + }, + { + "location": "Salem", + "time": "8:13 p.m.", + "degrees_f_above_ambient": temperatures[1], + "alert": "noncritical alert to the Wayside Help Desk, not the crew", + "camera_observation": "fire near the bearing", + }, + { + "location": "East Palestine", + "time": "about 8:52 p.m.", + "degrees_f_above_ambient": temperatures[2], + "alert": "critical alarm broadcast in the locomotive cab", + }, + ], + "trend": { + "successive_increases_degrees_f": detector_deltas, + "total_increase_degrees_f": temperatures[-1] - temperatures[0], + "sebring_to_salem_minutes": salem_minute - sebring_minute, + "salem_to_east_palestine_minutes": 39, + }, + "engineer_action": "began slowing before 8:54 p.m.", + "derailment": { + "total_cars": 38, + "statement": "the hopper car and 37 others derailed as emergency braking activated", + }, + "ntsb_cause_statement": SOURCE_CAUSE_STATEMENT, + "ranked_source_evidence": ranked, + "new_causal_inferences": [], + "control_writes": [], + "safety_boundary": "Read-only reconstruction of the NTSB's published detector sequence.", + } + + +def run(run_id: str) -> Path: + config = load_config() + parse_model = _runtime_model_id(config, "parse") + run_dir = RUNS_DIR / run_id + raw_dir = run_dir / "raw" + raw_dir.mkdir(parents=True, exist_ok=False) + calls: list[dict[str, Any]] = [] + timeout = config["cluster"]["provision_timeout_s"] + + with SIEClient(config["cluster"]["url"], api_key=config["cluster"]["api_key"] or None, timeout_s=900) as client: + started = time.perf_counter() + parsed = client.extract( + parse_model, + Item(id="ntsb-east-palestine-bearing-spread", document=DOCUMENT_PATH), + options={"profile": "default"}, + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": "parse", + "model": parse_model, + "configured_model": config["models"]["parse"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / "parse.json", parsed) + markdown = str(parsed.get("data", {}).get("markdown", "")) + (run_dir / "parsed.md").write_text(markdown, encoding="utf-8") + chunks = _chunks(markdown) + + started = time.perf_counter() + query_embedding = client.encode( + config["models"]["retrieve"], + Item(id="bearing-trend-query", text=config["review"]["query"]), + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + chunk_embeddings = [ + client.encode( + config["models"]["retrieve"], + Item(id=f"chunk-{index}", text=text), + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + for index, text in enumerate(chunks) + ] + retrieval = sorted( + [ + {"chunk_id": f"chunk-{index}", "text": text, "score": _cosine(_dense(query_embedding), _dense(result))} + for index, (text, result) in enumerate(zip(chunks, chunk_embeddings, strict=True)) + ], + key=lambda row: row["score"], + reverse=True, + )[: config["review"]["candidate_chunks"]] + calls.append( + { + "stage": "retrieve", + "model": config["models"]["retrieve"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json( + raw_dir / "retrieve.json", + {"query": query_embedding, "chunks": chunk_embeddings, "ranking": retrieval}, + ) + + started = time.perf_counter() + rerank_raw = client.score( + config["models"]["rerank"], + Item(id="bearing-trend-query", text=config["review"]["query"]), + [Item(id=row["chunk_id"], text=row["text"]) for row in retrieval], + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + by_id = {row["chunk_id"]: row["text"] for row in retrieval} + ranked = [ + { + "chunk_id": row["item_id"], + "rank": row["rank"], + "score": row["score"], + "text": by_id[row["item_id"]], + } + for row in sorted(rerank_raw["scores"], key=lambda item: item["rank"]) + ][: config["review"]["top_k"]] + calls.append( + { + "stage": "rerank", + "model": config["models"]["rerank"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / "rerank.json", rerank_raw) + detector_rows = _select_evidence_rows( + ranked, + ("38°f above ambient", "103°f above ambient", "253°f above ambient"), + "detector readings", + ) + outcome_rows = _select_evidence_rows( + ranked, + ( + "overheated bearing burned off", + "engineer began to slow", + "hopper car and 37 others derailed", + ), + "published outcome", + ) + outcome_text = "\n\n".join(row["text"] for row in outcome_rows) + + entity_outputs: list[dict[str, Any]] = [] + for index, row in enumerate(detector_rows): + started = time.perf_counter() + response = client.extract( + config["models"]["entities"], + Item(id=f"ntsb-detector-{index}", text=str(row["text"])), + labels=["location", "event time", "bearing", "temperature reading", "alert"], + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": f"entities_detector_{index}", + "model": config["models"]["entities"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / f"entities-detector-{index}.json", response) + entity_outputs.append(response) + + started = time.perf_counter() + outcome_entities = client.extract( + config["models"]["entities"], + Item(id="ntsb-outcome", text=outcome_text), + labels=["location", "bearing", "event time", "railcar count", "engineer action"], + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": "entities_outcome", + "model": config["models"]["entities"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / "entities-outcome.json", outcome_entities) + entity_outputs.append(outcome_entities) + entities = { + "model": config["models"]["entities"], + "entities": [entity for response in entity_outputs for entity in response.get("entities", [])], + } + _write_json(raw_dir / "entities.json", entities) + _require_entity_evidence(entities) + + detector_sources = { + "sebring": _row_for_location(detector_rows, "sebring hbd"), + "salem": _row_for_location(detector_rows, "salem hbd"), + "east_palestine": _row_for_location(detector_rows, "east palestine hbd"), + } + for stage, row in detector_sources.items(): + started = time.perf_counter() + response = client.extract( + config["models"]["extract"], + Item(id=f"ranked-ntsb-{stage}-evidence", text=str(row["text"])), + labels=GLINER2_LABELS["detector"], + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": f"gliner2_{stage}", + "model": config["models"]["extract"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + "source_chunk_ids": [str(row["chunk_id"])], + "source_sha256": hashlib.sha256(str(row["text"]).encode("utf-8")).hexdigest(), + } + ) + _write_json(raw_dir / f"gliner2-{stage.replace('_', '-')}.json", response) + _require_gliner2_evidence(response, stage) + + outcome_sources = { + "cause": _shortest_row_with(outcome_rows, "overheated bearing burned off"), + "engineer": _shortest_row_with(outcome_rows, "engineer began to slow"), + "derailment": _shortest_row_with(outcome_rows, "hopper car and 37 others derailed"), + } + for stage, row in outcome_sources.items(): + source_text = str(row["text"]) + started = time.perf_counter() + response = client.extract( + config["models"]["extract"], + Item(id=f"ranked-ntsb-{stage}-evidence", text=source_text), + labels=GLINER2_LABELS[stage], + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": f"gliner2_{stage}", + "model": config["models"]["extract"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + "source_chunk_ids": [str(row["chunk_id"])], + "source_sha256": hashlib.sha256(source_text.encode("utf-8")).hexdigest(), + } + ) + _write_json(raw_dir / f"gliner2-{stage}.json", response) + _require_gliner2_evidence(response, stage) + + mapped_data, source_scopes = _map_exact_source_fields(detector_rows, outcome_rows) + _write_json( + raw_dir / "mapped.json", + { + "method": "Exact ranked NTSB fragments validated against GLiNER2 source spans", + "data": mapped_data, + "source_scopes": source_scopes, + }, + ) + review = build_review(mapped_data, ranked) + + _write_json(run_dir / "review.json", review) + artifact_paths = [run_dir / "parsed.md", run_dir / "review.json", *sorted(raw_dir.glob("*.json"))] + manifest = { + "created_at": datetime.now(UTC).isoformat(), + "endpoint": config["cluster"]["url"], + "sie_server_commit": os.getenv("SIE_SERVER_COMMIT"), + "run_command": os.getenv("SIE_RUN_COMMAND"), + "models": config["models"], + "fixture": {"path": str(DOCUMENT_PATH.relative_to(ROOT)), "sha256": sha256(DOCUMENT_PATH)}, + "diagnostic_fixtures": [ + {"path": str(path.relative_to(ROOT)), "sha256": sha256(path)} for path in SCHEMA_PROBE_PATHS + ], + "artifacts": [{"path": str(path.relative_to(run_dir)), "sha256": sha256(path)} for path in artifact_paths], + "source_document": { + "url": "https://www.ntsb.gov/investigations/AccidentReports/Reports/SPC2406.pdf", + "source_page_index": 2, + "printed_pages": "4–5", + }, + "calls": calls, + "pipeline": [ + "parse", + "retrieve", + "rerank", + "entities_detector_sections", + "entities_outcome", + "gliner2_detector_sections", + "gliner2_outcome_sections", + "deterministic_source_mapping", + "deterministic_validation", + ], + "decision_boundary": ( + "The review reconstructs the NTSB's published detector sequence. " + "It makes no new causal determination and performs no control write." + ), + } + _write_json(run_dir / "manifest.json", manifest) + console.print(f"[green]Wrote[/] {run_dir}") + return run_dir + + +def main() -> None: + parser = argparse.ArgumentParser(description="Reconstruct the NTSB East Palestine bearing-detector sequence") + parser.add_argument("--run-id", default=datetime.now(UTC).strftime("%Y%m%dT%H%M%SZ")) + args = parser.parse_args() + run(args.run_id) + + +if __name__ == "__main__": + main() diff --git a/examples/maintenance-triage-agent/pyproject.toml b/examples/maintenance-triage-agent/pyproject.toml new file mode 100644 index 00000000..1c2d207b --- /dev/null +++ b/examples/maintenance-triage-agent/pyproject.toml @@ -0,0 +1,36 @@ +[project] +name = "maintenance-triage-agent" +version = "0.1.0" +description = "Reconstruct the NTSB East Palestine bearing-detector sequence with SIE" +readme = "README.md" +requires-python = ">=3.12,<3.13" +dependencies = [ + "python-dotenv>=1.0", + "pyyaml>=6.0", + "rich>=13.7", + "sie-sdk>=0.6.23", +] + +[project.scripts] +triage-fault = "maintenance_triage.review:main" +eval-triage = "maintenance_triage.evaluate:main" + +[dependency-groups] +dev = [ + "pytest>=9.0", + "ruff>=0.14", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["maintenance_triage"] + +[tool.ruff] +line-length = 120 +target-version = "py312" + +[tool.pytest.ini_options] +testpaths = ["tests"] diff --git a/examples/maintenance-triage-agent/tests/test_review.py b/examples/maintenance-triage-agent/tests/test_review.py new file mode 100644 index 00000000..56aff0ab --- /dev/null +++ b/examples/maintenance-triage-agent/tests/test_review.py @@ -0,0 +1,260 @@ +import hashlib +import json +from pathlib import Path + +from maintenance_triage.evaluate import evaluate_review +from maintenance_triage.review import ( + _map_exact_source_fields, + _require_entity_evidence, + _require_gliner2_evidence, + _runtime_model_id, + build_review, +) + +ROOT = Path(__file__).resolve().parents[1] + + +def test_fixture_is_the_exact_ntsb_page_spread() -> None: + source = ROOT / "fixtures" / "east-palestine-bearing-spread.pdf" + assert hashlib.sha256(source.read_bytes()).hexdigest() == ( + "0556a971978198a493acda277dfdfd75a837be4ba5c626d6f03565cb17cee8ca" + ) + + +def test_public_docling_id_translates_only_for_a_direct_local_server() -> None: + local = {"cluster": {"url": "http://[::1]:8080"}, "models": {"parse": "docling-project/docling"}} + cloud = {"cluster": {"url": "https://api.superlinked.com"}, "models": {"parse": "docling-project/docling"}} + assert _runtime_model_id(local, "parse") == "docling" + assert _runtime_model_id(cloud, "parse") == "docling-project/docling" + + +def structured_data() -> dict[str, str]: + return { + "bearing": "L1", + "sebring_time": "7:37 p.m.", + "sebring_temperature": "38°F above ambient", + "salem_time": "8:13 p.m.", + "salem_temperature": "103°F above ambient", + "east_palestine_temperature": "253°F above ambient", + "sebring_alert_status_text": "not high enough to trigger an alert", + "salem_alert_level_text": "noncritical alert", + "salem_alert_recipient_text": "Wayside Help Desk", + "salem_crew_notification_text": "not to the crew", + "salem_camera_observation_text": "fire near the bearing", + "east_palestine_alert_text": "critical alarm broadcast in the locomotive cab", + "engineer_action": "began to slow the train before 8:54 p.m.", + "derailment_statement": "the hopper car and 37 others derailed", + "cause_statement": "an overheated bearing burned off the accident hopper car", + } + + +def ranked_evidence() -> list[dict[str, object]]: + return [ + { + "chunk_id": "chunk-0", + "rank": 1, + "score": 0.99, + "text": ( + "At 7:37 p.m., at the Sebring HBD, the L1 bearing was 38°F above ambient, not high enough to " + "trigger an alert. At 8:13 p.m., at the Salem HBD, it was 103°F above ambient and triggered a " + "noncritical alert to the Wayside Help Desk, but not to the crew. A camera showed fire near the " + "bearing. At East Palestine it reached 253°F above ambient, and a critical alarm was broadcast " + "in the locomotive cab. The engineer began to slow the train before 8:54 p.m. The hopper car and " + "37 others derailed. The East Palestine derailment began when an overheated bearing burned off " + "the accident hopper car." + ), + } + ] + + +def exact_source_rows() -> tuple[list[dict[str, object]], list[dict[str, object]]]: + detectors = [ + { + "chunk_id": "chunk-11", + "rank": 1, + "score": 0.99, + "text": ( + "At 7:37 p.m. , at the Sebring HBD, the reading for the L1 bearing was only 38°F above ambient " + "-not high enough to trigger an alert. The R1 bearing measured 20°F above ambient. " + "But the L1 bearing was hotter." + ), + }, + { + "chunk_id": "chunk-12", + "rank": 2, + "score": 0.98, + "text": ( + "At 8:13 p.m. , at the Salem HBD, the reading for the L1 bearing was 103°F above ambient . " + "This reading was high enough to trigger a noncritical alert to the Wayside Help Desk ( see box ), " + "but not to the crew. A surveillance camera picture from Salem showed fire near the bearing." + ), + }, + { + "chunk_id": "chunk-13", + "rank": 3, + "score": 0.97, + "text": ( + "About 8:52 p.m ., the train went over the East Palestine HBD. Less than a minute later, the HBD " + "recorded a temperature of 253°F above ambient at the L1 bearing; bearing R1 remained at 20°F " + "above ambient. The HBD immediately transmitted a critical alarm, which was broadcast in the " + "locomotive cab." + ), + }, + ] + outcome = [ + { + "chunk_id": "chunk-0", + "rank": 4, + "score": 0.96, + "text": "The East Palestine derailment began when an overheated bearing burned off the accident hopper car.", + }, + { + "chunk_id": "chunk-14", + "rank": 5, + "score": 0.95, + "text": ( + "Under NS rules, the engineer began to slow the train before 8:54 p.m. But it was too late; " + "the hopper car and 37 others derailed as the train's emergency braking system activated." + ), + }, + ] + return detectors, outcome + + +def test_maps_only_exact_ranked_source_text_after_model_gates() -> None: + detectors, outcome = exact_source_rows() + mapped, scopes = _map_exact_source_fields(detectors, outcome) + assert mapped["bearing"] == "L1" + assert mapped["sebring_temperature"] == "38°F above ambient" + assert mapped["salem_alert_recipient_text"] == "Wayside Help Desk" + assert mapped["east_palestine_alert_text"] == ("critical alarm, which was broadcast in the locomotive cab") + assert mapped["cause_statement"].startswith("The East Palestine derailment began") + assert scopes["salem_alert_recipient_text"]["chunk_id"] == "chunk-12" + assert scopes["cause_statement"]["chunk_id"] == "chunk-0,chunk-14" + + +def test_gliner2_gate_requires_recorded_detector_spans() -> None: + complete = { + "entities": [ + {"text": "8:13 p.m."}, + {"text": "Salem HBD"}, + {"text": "L1 bearing"}, + {"text": "103°F"}, + {"text": "noncritical"}, + {"text": "Wayside Help Desk"}, + {"text": "fire near the bearing"}, + ] + } + _require_gliner2_evidence(complete, "salem") + complete["entities"] = [entity for entity in complete["entities"] if entity["text"] != "Wayside Help Desk"] + try: + _require_gliner2_evidence(complete, "salem") + except RuntimeError as exc: + assert "wayside help desk" in str(exc) + else: + raise AssertionError("GLiNER2 gate accepted Salem evidence without the alert recipient") + + +def test_preserves_the_recorded_output_schema_request_and_response() -> None: + request = json.loads((ROOT / "fixtures" / "output-schema-probe-request.json").read_text(encoding="utf-8")) + response = json.loads((ROOT / "fixtures" / "output-schema-probe-response.json").read_text(encoding="utf-8")) + source = json.loads((ROOT / request["item"]["source_artifact"]).read_text(encoding="utf-8")) + by_id = {row["chunk_id"]: row["text"] for row in source["ranking"]} + reconstructed_text = request["item"]["join_separator"].join( + by_id[chunk_id] for chunk_id in request["item"]["source_chunk_ids"] + ) + assert reconstructed_text == request["item"]["text"] + assert hashlib.sha256(reconstructed_text.encode()).hexdigest() == request["item"]["text_sha256"] + assert set(request["output_schema"]["required"]) == set(response["data"]) + assert response["model"] == "fastino/gliner2-large-v1" + assert response["data"]["salem_recipient_source_text"] == ["Wayside Help Desk"] + assert response["data"]["sebring_source_phrase"] == [] + assert response["data"]["east_palestine_alarm_source_text"] == [] + + +def test_build_review_reconstructs_published_detector_trend() -> None: + review = build_review(structured_data(), ranked_evidence()) + assert review["trend"] == { + "successive_increases_degrees_f": [65, 150], + "total_increase_degrees_f": 215, + "sebring_to_salem_minutes": 36, + "salem_to_east_palestine_minutes": 39, + } + assert review["derailment"]["total_cars"] == 38 + assert review["new_causal_inferences"] == [] + assert review["control_writes"] == [] + + +def test_review_boundary_passes_evaluation() -> None: + assert all(check.passed for check in evaluate_review(build_review(structured_data(), ranked_evidence()))) + + +def test_review_fails_closed_on_changed_temperature() -> None: + data = structured_data() + data["salem_temperature"] = "130°F above ambient" + try: + build_review(data, ranked_evidence()) + except RuntimeError as exc: + assert "temperatures do not match" in str(exc) + else: + raise AssertionError("build_review accepted a detector reading that differs from the NTSB source") + + +def test_review_fails_closed_without_exact_ntsb_cause_sentence() -> None: + evidence = ranked_evidence() + evidence[0]["text"] = str(evidence[0]["text"]).replace( + "The East Palestine derailment began when an overheated bearing burned off the accident hopper car.", + "The derailment began after a bearing problem.", + ) + try: + build_review(structured_data(), evidence) + except RuntimeError as exc: + assert "exact cause statement" in str(exc) + else: + raise AssertionError("build_review accepted evidence without the NTSB's exact cause statement") + + +def test_review_fails_closed_without_ranked_evidence() -> None: + try: + build_review(structured_data(), []) + except RuntimeError as exc: + assert "no evidence" in str(exc) + else: + raise AssertionError("build_review accepted an empty reranker response") + + +def test_gliner_gate_requires_all_detector_spans() -> None: + complete = { + "entities": [ + {"text": "Sebring"}, + {"text": "Salem"}, + {"text": "East Palestine"}, + {"text": "7:37 p.m."}, + {"text": "8:13 p.m."}, + {"text": "8:52 p.m."}, + {"text": "L1 bearing"}, + {"text": "noncritical alert"}, + {"text": "critical alarm"}, + {"text": "37 others"}, + ] + } + _require_entity_evidence(complete) + complete["entities"] = [entity for entity in complete["entities"] if entity["text"] != "8:13 p.m."] + try: + _require_entity_evidence(complete) + except RuntimeError as exc: + assert "NTSB source spans" in str(exc) + else: + raise AssertionError("GLiNER gate accepted evidence without the Salem event time") + + +def test_verified_manifest_hashes() -> None: + manifest_path = ROOT / "verified-run" / "manifest.json" + manifest = json.loads(manifest_path.read_text(encoding="utf-8")) + fixture = manifest["fixture"] + assert hashlib.sha256((ROOT / fixture["path"]).read_bytes()).hexdigest() == 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"pipeline": [ + "parse", + "retrieve", + "rerank", + "entities_detector_sections", + "entities_outcome", + "gliner2_detector_sections", + "gliner2_outcome_sections", + "deterministic_source_mapping", + "deterministic_validation" + ], + "decision_boundary": "The review reconstructs the NTSB's published detector sequence. It makes no new causal determination and performs no control write." +} diff --git a/examples/maintenance-triage-agent/verified-run/parsed.md b/examples/maintenance-triage-agent/verified-run/parsed.md new file mode 100644 index 00000000..9cf659cd --- /dev/null +++ b/examples/maintenance-triage-agent/verified-run/parsed.md @@ -0,0 +1,63 @@ +## When the bearing failed + +The East Palestine derailment began when an overheated bearing burned off the accident hopper car. Here is what you need to know about bearings, hot bearing detectors (HBDs), and what happened when the accident hopper car passed over the final three HBDs of the journey in the Ohio towns of Sebring, Salem, and East Palestine. + +## All about bearings + +## Bearings 101 + +A bearing (A) fits around the end of a railcar axle. The part of the axle extending into the bearing is called the journal (B) . The bearing's roller components allow the journal to turn within the bearing with little friction. However, when a bearing fails, the resulting friction can be catastrophic. In East Palestine, the journal's cylindrical shape was worn down to a cone (C) . ( See box below .) + +## Hot bearing detectors + +Overheated wheel bearings are the most common mechanical or electrical cause of rail accidents. Because overheated bearings are so dangerous, railroad tracks are equipped with HBDs, devices located along the track that measure the bearing's temperature relative to the ambient temperature (D) . Ambient temperature means the temperature outside. For example, the ambient temperature at Sebring, Ohio, was measured by a thermometer at the nearby signal bungalow. + +Bearings can go from below-alarm temperature to seized in less than a minute. In this accident, however, fire was first photographed near the L1 bearing by a surveillance camera in Salem, Ohio (right), 39 minutes before the train derailed in East Palestine. + +## The L1 bearing + +The bearing that caused the accident hopper car to derail was its L1 bearing, which is on the right side of the car, facing the direction of travel. + +Railcar axles are numbered starting from the end of the railcar with the brake wheel (the 'B end'). When the B end is in the front of the car (when it faces the direction of travel) the 'left-side' wheels and bearings are on the right. + + + +## The undetected hot bearing burns off + +1. HBDs (D) measure the temperature on the outside of the bearing cup. When a bearing heats up inside, it may take 30-60 minutes for the HBD to sense it from the outside. The HBD in Salem measured a temperature of only 103° above ambient, despite the fact that the bearing was on fire. So, it generated an alert to the Wayside Help Desk, not an alarm to the train crew. + +2. By the time the alarm sounded at the East Palestine HBD, the journal was worn down to a cone, and it was too late. The hopper car and 37 others derailed as the train's emergency braking system activated. + + + +## On fire but not 'critical' + +## Sebring + +At 7:37 p.m. , at the Sebring HBD, the reading for the L1 bearing was only 38°F above ambient -not high enough to trigger an alert. The R1 bearing measured 20°F above ambient. But the L1 bearing was hotter. + +## Salem + +At 8:13 p.m. , at the Salem HBD, the reading for the L1 bearing was 103°F above ambient . This reading was high enough to trigger a noncritical alert to the Wayside Help Desk ( see box ), but not to the crew. A surveillance camera picture from Salem showed fire near the bearing ( right ). Surveillance cameras in Sebring also captured images of the train, and no anomalies were noted. + +## East Palestine + +About 8:52 p.m ., the train went over the East Palestine HBD. Less than a minute later, the HBD recorded a temperature of 253°F above ambient at the L1 bearing; bearing R1 remained at 20°F above ambient. The HBD immediately transmitted a critical alarm, which was broadcast in the locomotive cab. + +Under NS rules, if a train's crew hears a critical alarm, they must stop the train right away and inspect the wheelset that triggered the alarm. The engineer began to slow the train before 8:54 p.m. + +But it was too late; the hopper car and 37 others derailed as the train's emergency braking system activated. + + + + + + + +## The Wayside Help Desk + +The Wayside Help Desk in Atlanta, Georgia, monitors alerts from NS's HBDs. Critical alarms broadcast straight to the train crew. For noncritical alerts, the analyst monitors the train over HBDs it crosses later, paying attention to temperature trends. The single analyst on duty did not notice the Salem noncritical alert, as he dealt with higher-priority alerts. But if he did notice the alert, that would not have prevented the derailment. The analyst said that if he had seen the Salem HBD alert in real time, he would have followed NS rules and watched for alerts from HBDs it went over later. The next HBD the accident train went over was in East Palestine. + +In the East Palestine derailment, the alarm was received by the lead locomotive radio and broadcast over the in-cab speakers: ' Critical alarm, critical alarm, critical alarm. Norfolk Southern milepost 49.8, track 1 hotbox, axle 101, south rail. ' + + \ No newline at end of file diff --git a/examples/maintenance-triage-agent/verified-run/raw/entities-detector-0.json b/examples/maintenance-triage-agent/verified-run/raw/entities-detector-0.json new file mode 100644 index 00000000..ce3cdcb8 --- /dev/null +++ b/examples/maintenance-triage-agent/verified-run/raw/entities-detector-0.json @@ -0,0 +1,57 @@ +{ + "entities": [ + { + "text": "7:37 p.m.", + "label": "event time", + "score": 0.79638671875, + "start": 3, + "end": 12, + "bbox": null + }, + { + "text": "Sebring HBD", + "label": "location", + "score": 0.9130859375, + "start": 22, + "end": 33, + "bbox": null + }, + { + "text": "L1 bearing", + "label": "bearing", + "score": 0.98583984375, + "start": 55, + "end": 65, + "bbox": null + }, + { + "text": "alert", + "label": "alert", + "score": 0.58984375, + "start": 125, + "end": 130, + "bbox": null + }, + { + "text": "R1 bearing", + "label": "bearing", + "score": 0.98193359375, + "start": 136, + "end": 146, + "bbox": null + }, + { + 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"entities": [ + { + "text": "overheated bearing", + "label": "bearing failure", + "score": 0.8525390625, + "start": 44, + "end": 62, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "ranked-ntsb-cause-evidence", + "model": "fastino/gliner2-large-v1" +} diff --git a/examples/maintenance-triage-agent/verified-run/raw/gliner2-derailment.json b/examples/maintenance-triage-agent/verified-run/raw/gliner2-derailment.json new file mode 100644 index 00000000..0e9f3288 --- /dev/null +++ b/examples/maintenance-triage-agent/verified-run/raw/gliner2-derailment.json @@ -0,0 +1,25 @@ +{ + "entities": [ + { + "text": "hopper car", + "label": "derailed railcars", + "score": 0.99462890625, + "start": 25, + "end": 35, + "bbox": null + }, + { + "text": "37 others", + "label": "derailed railcars", + "score": 0.9921875, + "start": 40, + "end": 49, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "ranked-ntsb-derailment-evidence", + "model": "fastino/gliner2-large-v1" +} diff --git a/examples/maintenance-triage-agent/verified-run/raw/gliner2-east-palestine.json b/examples/maintenance-triage-agent/verified-run/raw/gliner2-east-palestine.json new file mode 100644 index 00000000..b21dfb9f --- /dev/null +++ b/examples/maintenance-triage-agent/verified-run/raw/gliner2-east-palestine.json @@ -0,0 +1,81 @@ +{ + "entities": [ + { + "text": "8:52 p.m .", + "label": "event time", + "score": 0.9775390625, + "start": 6, + "end": 16, + "bbox": null + }, + { + "text": "East Palestine HBD", + "label": "location", + "score": 0.9140625, + "start": 42, + "end": 60, + "bbox": null + }, + { + "text": "253\u00b0F", + "label": "degrees above ambient", + "score": 0.99609375, + "start": 122, + "end": 127, + "bbox": null + }, + { + "text": "L1", + "label": "bearing", + "score": 0.8515625, + "start": 149, + "end": 151, + "bbox": null + }, + { + "text": "R1", + "label": "bearing", + "score": 0.9619140625, + "start": 169, + "end": 171, + "bbox": null + }, + { + "text": "20\u00b0F", + "label": "degrees above ambient", + "score": 0.9814453125, + "start": 184, + "end": 188, + "bbox": null + }, + { + "text": "critical alarm", + "label": "alert status", + "score": 0.935546875, + "start": 238, + "end": 252, + "bbox": null + }, + { + "text": "locomotive cab", + "label": "location", + "score": 0.67724609375, + "start": 281, + "end": 295, + "bbox": null + }, + { + "text": "locomotive cab", + "label": "alert recipient", + "score": 0.7412109375, + "start": 281, + "end": 295, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "ranked-ntsb-east_palestine-evidence", + "model": "fastino/gliner2-large-v1" +} diff --git a/examples/maintenance-triage-agent/verified-run/raw/gliner2-engineer.json b/examples/maintenance-triage-agent/verified-run/raw/gliner2-engineer.json new file mode 100644 index 00000000..7035cad2 --- /dev/null +++ b/examples/maintenance-triage-agent/verified-run/raw/gliner2-engineer.json @@ -0,0 +1,33 @@ +{ + "entities": [ + { + "text": "stop the train", + "label": "operator action", + "score": 0.58251953125, + "start": 68, + "end": 82, + "bbox": null + }, + { + "text": "slow the train", + "label": "operator action", + "score": 0.6806640625, + "start": 167, + "end": 181, + "bbox": null + }, + { + "text": "8:54 p.m.", + "label": "event time", + "score": 0.99853515625, + "start": 189, + "end": 198, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "ranked-ntsb-engineer-evidence", + "model": "fastino/gliner2-large-v1" +} diff --git a/examples/maintenance-triage-agent/verified-run/raw/gliner2-salem.json b/examples/maintenance-triage-agent/verified-run/raw/gliner2-salem.json new file mode 100644 index 00000000..ea049ef9 --- /dev/null +++ b/examples/maintenance-triage-agent/verified-run/raw/gliner2-salem.json @@ -0,0 +1,81 @@ +{ + "entities": [ + { + "text": "8:13 p.m.", + "label": "event time", + "score": 0.99853515625, + "start": 3, + "end": 12, + "bbox": null + }, + { + "text": "Salem HBD", + "label": "location", + "score": 0.98193359375, + "start": 22, + "end": 31, + "bbox": null + }, + { + "text": "L1 bearing", + "label": "bearing", + "score": 0.935546875, + "start": 53, + "end": 63, + "bbox": null + }, + { + "text": "103\u00b0F", + "label": "degrees above ambient", + "score": 0.9970703125, + "start": 68, + "end": 73, + "bbox": null + }, + { + "text": "noncritical", + "label": "alert status", + "score": 0.880859375, + "start": 132, + "end": 143, + "bbox": null + }, + { + "text": "Wayside Help Desk", + "label": "alert recipient", + "score": 0.98876953125, + "start": 157, + "end": 174, + "bbox": null + }, + { + "text": "Salem", + "label": "location", + "score": 0.91162109375, + "start": 244, + "end": 249, + "bbox": null + }, + { + "text": "fire near the bearing", + "label": "camera observation", + "score": 0.5859375, + "start": 257, + "end": 278, + "bbox": null + }, + { + "text": "Sebring", + "label": "location", + "score": 0.98388671875, + "start": 314, + "end": 321, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "ranked-ntsb-salem-evidence", + "model": "fastino/gliner2-large-v1" +} diff --git a/examples/maintenance-triage-agent/verified-run/raw/gliner2-sebring.json b/examples/maintenance-triage-agent/verified-run/raw/gliner2-sebring.json new file mode 100644 index 00000000..730f8e99 --- /dev/null +++ b/examples/maintenance-triage-agent/verified-run/raw/gliner2-sebring.json @@ -0,0 +1,57 @@ +{ + "entities": [ + { + "text": "7:37 p.m.", + "label": "event time", + "score": 0.99609375, + "start": 3, + "end": 12, + "bbox": null + }, + { + "text": "Sebring HBD", + "label": "location", + "score": 0.9990234375, + "start": 22, + "end": 33, + "bbox": null + }, + { + "text": "38\u00b0F", + "label": "degrees above ambient", + "score": 0.99609375, + "start": 75, + "end": 79, + "bbox": null + }, + { + "text": "R1 bearing", + "label": "bearing", + "score": 0.9990234375, + "start": 136, + "end": 146, + "bbox": null + }, + { + "text": "20\u00b0F", + "label": "degrees above ambient", + "score": 0.99169921875, + "start": 156, + "end": 160, + "bbox": null + }, + { + "text": "L1 bearing", + "label": "bearing", + "score": 1.0, + "start": 184, + "end": 194, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "ranked-ntsb-sebring-evidence", + "model": "fastino/gliner2-large-v1" +} diff --git a/examples/maintenance-triage-agent/verified-run/raw/mapped.json b/examples/maintenance-triage-agent/verified-run/raw/mapped.json new file mode 100644 index 00000000..9b031c78 --- /dev/null +++ b/examples/maintenance-triage-agent/verified-run/raw/mapped.json @@ -0,0 +1,97 @@ +{ + "method": "Exact ranked NTSB fragments validated against GLiNER2 source spans", + "data": { + "bearing": "L1", + "sebring_time": "7:37 p.m.", + "sebring_temperature": "38\u00b0F above ambient", + "salem_time": "8:13 p.m.", + "salem_temperature": "103\u00b0F above ambient", + "east_palestine_temperature": "253\u00b0F above ambient", + "sebring_alert_status_text": "not high enough to trigger an alert", + "salem_alert_level_text": "noncritical alert", + "salem_alert_recipient_text": "Wayside Help Desk", + "salem_crew_notification_text": "not to the crew", + "salem_camera_observation_text": "fire near the bearing", + "east_palestine_alert_text": "critical alarm, which was broadcast in the locomotive cab", + "engineer_action": "The engineer began to slow the train before 8:54 p.m.", + "derailment_statement": "The hopper car and 37 others derailed as the train's emergency braking system activated", + "cause_statement": "The East Palestine derailment began when an overheated bearing burned off the accident hopper car." + }, + "source_scopes": { + "bearing": { + "stage": "sebring", + "chunk_id": "chunk-11", + "source_sha256": 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"864d80e2d7aec89dcbdca6e30ef034f32f7be9f733c667394f6119e414496eac" + }, + "salem_alert_recipient_text": { + "stage": "salem", + "chunk_id": "chunk-12", + "source_sha256": "864d80e2d7aec89dcbdca6e30ef034f32f7be9f733c667394f6119e414496eac" + }, + "salem_crew_notification_text": { + "stage": "salem", + "chunk_id": "chunk-12", + "source_sha256": "864d80e2d7aec89dcbdca6e30ef034f32f7be9f733c667394f6119e414496eac" + }, + "salem_camera_observation_text": { + "stage": "salem", + "chunk_id": "chunk-12", + "source_sha256": "864d80e2d7aec89dcbdca6e30ef034f32f7be9f733c667394f6119e414496eac" + }, + "east_palestine_temperature": { + "stage": "east_palestine", + "chunk_id": "chunk-13", + "source_sha256": "e78d51724d0ebbce9b68971491aff2b20d24bf0e2dca2f0c86a963e87c89c825" + }, + "east_palestine_alert_text": { + "stage": "east_palestine", + "chunk_id": "chunk-13", + "source_sha256": "e78d51724d0ebbce9b68971491aff2b20d24bf0e2dca2f0c86a963e87c89c825" + }, + "engineer_action": { + "stage": "outcome", + "chunk_id": "chunk-1,chunk-9,chunk-14,chunk-15", + "source_sha256": "94a34efc3a9681e9c70502a0aa96853d143bacb2bee3bf38d4ec4992c926c77a" + }, + "derailment_statement": { + "stage": "outcome", + "chunk_id": "chunk-1,chunk-9,chunk-14,chunk-15", + "source_sha256": "94a34efc3a9681e9c70502a0aa96853d143bacb2bee3bf38d4ec4992c926c77a" + }, + "cause_statement": { + "stage": "outcome", + "chunk_id": "chunk-1,chunk-9,chunk-14,chunk-15", + "source_sha256": "94a34efc3a9681e9c70502a0aa96853d143bacb2bee3bf38d4ec4992c926c77a" + } + } +} diff --git a/examples/maintenance-triage-agent/verified-run/raw/parse.json b/examples/maintenance-triage-agent/verified-run/raw/parse.json new file mode 100644 index 00000000..8e709f96 --- /dev/null +++ b/examples/maintenance-triage-agent/verified-run/raw/parse.json @@ -0,0 +1,2513 @@ +{ + "entities": [], + "relations": [], + "classifications": [], + "objects": [], + "id": "ntsb-east-palestine-bearing-spread", + "data": { + "text": "When the bearing failed\n\nThe East Palestine derailment began when an overheated bearing burned off the accident hopper car. Here is what you need to know about bearings, hot bearing detectors (HBDs), and what happened when the accident hopper car passed over the final three HBDs of the journey in the Ohio towns of Sebring, Salem, and East Palestine.\n\nAll about bearings\n\nBearings 101\n\nA bearing (A) fits around the end of a railcar axle. The part of the axle extending into the bearing is called the journal (B) . The bearing's roller components allow the journal to turn within the bearing with little friction. However, when a bearing fails, the resulting friction can be catastrophic. In East Palestine, the journal's cylindrical shape was worn down to a cone (C) . ( See box below .)\n\nHot bearing detectors\n\nOverheated wheel bearings are the most common mechanical or electrical cause of rail accidents. Because overheated bearings are so dangerous, railroad tracks are equipped with HBDs, devices located along the track that measure the bearing's temperature relative to the ambient temperature (D) . Ambient temperature means the temperature outside. For example, the ambient temperature at Sebring, Ohio, was measured by a thermometer at the nearby signal bungalow.\n\nBearings can go from below-alarm temperature to seized in less than a minute. In this accident, however, fire was first photographed near the L1 bearing by a surveillance camera in Salem, Ohio (right), 39 minutes before the train derailed in East Palestine.\n\nThe L1 bearing\n\nThe bearing that caused the accident hopper car to derail was its L1 bearing, which is on the right side of the car, facing the direction of travel.\n\nRailcar axles are numbered starting from the end of the railcar with the brake wheel (the 'B end'). When the B end is in the front of the car (when it faces the direction of travel) the 'left-side' wheels and bearings are on the right.\n\nThe undetected hot bearing burns off\n\n1. HBDs (D) measure the temperature on the outside of the bearing cup. When a bearing heats up inside, it may take 30-60 minutes for the HBD to sense it from the outside. The HBD in Salem measured a temperature of only 103\u00b0 above ambient, despite the fact that the bearing was on fire. So, it generated an alert to the Wayside Help Desk, not an alarm to the train crew.\n\n2. By the time the alarm sounded at the East Palestine HBD, the journal was worn down to a cone, and it was too late. The hopper car and 37 others derailed as the train's emergency braking system activated.\n\nOn fire but not 'critical'\n\nSebring\n\nAt 7:37 p.m. , at the Sebring HBD, the reading for the L1 bearing was only 38\u00b0F above ambient -not high enough to trigger an alert. The R1 bearing measured 20\u00b0F above ambient. But the L1 bearing was hotter.\n\nSalem\n\nAt 8:13 p.m. , at the Salem HBD, the reading for the L1 bearing was 103\u00b0F above ambient . This reading was high enough to trigger a noncritical alert to the Wayside Help Desk ( see box ), but not to the crew. A surveillance camera picture from Salem showed fire near the bearing ( right ). Surveillance cameras in Sebring also captured images of the train, and no anomalies were noted.\n\nEast Palestine\n\nAbout 8:52 p.m ., the train went over the East Palestine HBD. Less than a minute later, the HBD recorded a temperature of 253\u00b0F above ambient at the L1 bearing; bearing R1 remained at 20\u00b0F above ambient. The HBD immediately transmitted a critical alarm, which was broadcast in the locomotive cab.\n\nUnder NS rules, if a train's crew hears a critical alarm, they must stop the train right away and inspect the wheelset that triggered the alarm. The engineer began to slow the train before 8:54 p.m.\n\nBut it was too late; the hopper car and 37 others derailed as the train's emergency braking system activated.\n\nThe Wayside Help Desk\n\nThe Wayside Help Desk in Atlanta, Georgia, monitors alerts from NS's HBDs. Critical alarms broadcast straight to the train crew. For noncritical alerts, the analyst monitors the train over HBDs it crosses later, paying attention to temperature trends. The single analyst on duty did not notice the Salem noncritical alert, as he dealt with higher-priority alerts. But if he did notice the alert, that would not have prevented the derailment. The analyst said that if he had seen the Salem HBD alert in real time, he would have followed NS rules and watched for alerts from HBDs it went over later. The next HBD the accident train went over was in East Palestine.\n\nIn the East Palestine derailment, the alarm was received by the lead locomotive radio and broadcast over the in-cab speakers: ' Critical alarm, critical alarm, critical alarm. Norfolk Southern milepost 49.8, track 1 hotbox, axle 101, south rail. '", + "markdown": "## When the bearing failed\n\nThe East Palestine derailment began when an overheated bearing burned off the accident hopper car. Here is what you need to know about bearings, hot bearing detectors (HBDs), and what happened when the accident hopper car passed over the final three HBDs of the journey in the Ohio towns of Sebring, Salem, and East Palestine.\n\n## All about bearings\n\n## Bearings 101\n\nA bearing (A) fits around the end of a railcar axle. The part of the axle extending into the bearing is called the journal (B) . The bearing's roller components allow the journal to turn within the bearing with little friction. However, when a bearing fails, the resulting friction can be catastrophic. In East Palestine, the journal's cylindrical shape was worn down to a cone (C) . ( See box below .)\n\n## Hot bearing detectors\n\nOverheated wheel bearings are the most common mechanical or electrical cause of rail accidents. Because overheated bearings are so dangerous, railroad tracks are equipped with HBDs, devices located along the track that measure the bearing's temperature relative to the ambient temperature (D) . Ambient temperature means the temperature outside. For example, the ambient temperature at Sebring, Ohio, was measured by a thermometer at the nearby signal bungalow.\n\nBearings can go from below-alarm temperature to seized in less than a minute. In this accident, however, fire was first photographed near the L1 bearing by a surveillance camera in Salem, Ohio (right), 39 minutes before the train derailed in East Palestine.\n\n## The L1 bearing\n\nThe bearing that caused the accident hopper car to derail was its L1 bearing, which is on the right side of the car, facing the direction of travel.\n\nRailcar axles are numbered starting from the end of the railcar with the brake wheel (the 'B end'). When the B end is in the front of the car (when it faces the direction of travel) the 'left-side' wheels and bearings are on the right.\n\n\n\n## The undetected hot bearing burns off\n\n1. HBDs (D) measure the temperature on the outside of the bearing cup. When a bearing heats up inside, it may take 30-60 minutes for the HBD to sense it from the outside. The HBD in Salem measured a temperature of only 103\u00b0 above ambient, despite the fact that the bearing was on fire. So, it generated an alert to the Wayside Help Desk, not an alarm to the train crew.\n\n2. By the time the alarm sounded at the East Palestine HBD, the journal was worn down to a cone, and it was too late. The hopper car and 37 others derailed as the train's emergency braking system activated.\n\n\n\n## On fire but not 'critical'\n\n## Sebring\n\nAt 7:37 p.m. , at the Sebring HBD, the reading for the L1 bearing was only 38\u00b0F above ambient -not high enough to trigger an alert. The R1 bearing measured 20\u00b0F above ambient. But the L1 bearing was hotter.\n\n## Salem\n\nAt 8:13 p.m. , at the Salem HBD, the reading for the L1 bearing was 103\u00b0F above ambient . This reading was high enough to trigger a noncritical alert to the Wayside Help Desk ( see box ), but not to the crew. A surveillance camera picture from Salem showed fire near the bearing ( right ). Surveillance cameras in Sebring also captured images of the train, and no anomalies were noted.\n\n## East Palestine\n\nAbout 8:52 p.m ., the train went over the East Palestine HBD. Less than a minute later, the HBD recorded a temperature of 253\u00b0F above ambient at the L1 bearing; bearing R1 remained at 20\u00b0F above ambient. The HBD immediately transmitted a critical alarm, which was broadcast in the locomotive cab.\n\nUnder NS rules, if a train's crew hears a critical alarm, they must stop the train right away and inspect the wheelset that triggered the alarm. The engineer began to slow the train before 8:54 p.m.\n\nBut it was too late; the hopper car and 37 others derailed as the train's emergency braking system activated.\n\n\n\n\n\n\n\n## The Wayside Help Desk\n\nThe Wayside Help Desk in Atlanta, Georgia, monitors alerts from NS's HBDs. Critical alarms broadcast straight to the train crew. For noncritical alerts, the analyst monitors the train over HBDs it crosses later, paying attention to temperature trends. The single analyst on duty did not notice the Salem noncritical alert, as he dealt with higher-priority alerts. But if he did notice the alert, that would not have prevented the derailment. The analyst said that if he had seen the Salem HBD alert in real time, he would have followed NS rules and watched for alerts from HBDs it went over later. The next HBD the accident train went over was in East Palestine.\n\nIn the East Palestine derailment, the alarm was received by the lead locomotive radio and broadcast over the in-cab speakers: ' Critical alarm, critical alarm, critical alarm. Norfolk Southern milepost 49.8, track 1 hotbox, axle 101, south rail. 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Here is what you need to know about bearings, hot bearing detectors (HBDs), and what happened when the accident hopper car passed over the final three HBDs of the journey in the Ohio towns of Sebring, Salem, and East Palestine.", + "text": "The East Palestine derailment began when an overheated bearing burned off the accident hopper car. Here is what you need to know about bearings, hot bearing detectors (HBDs), and what happened when the accident hopper car passed over the final three HBDs of the journey in the Ohio towns of Sebring, Salem, and East Palestine." + }, + { + "self_ref": "#/texts/2", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "section_header", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 46.8, + "t": 479.535, + "r": 169.46999999999997, + "b": 466.0658405172414, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 18 + ] + } + ], + "orig": "All about bearings", + "text": "All about bearings", + "level": 1 + }, + { + "self_ref": "#/texts/3", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "section_header", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 46.8, + "t": 454.269, + "r": 100.449, + "b": 446.1875043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 12 + ] + } + ], + "orig": "Bearings 101", + "text": "Bearings 101", + "level": 1 + }, + { + "self_ref": "#/texts/4", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 46.8, + "t": 437.769, + "r": 387.6777000000003, + "b": 381.6875043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 402 + ] + } + ], + "orig": "A bearing (A) fits around the end of a railcar axle. The part of the axle extending into the bearing is called the journal (B) . The bearing's roller components allow the journal to turn within the bearing with little friction. However, when a bearing fails, the resulting friction can be catastrophic. In East Palestine, the journal's cylindrical shape was worn down to a cone (C) . ( See box below .)", + "text": "A bearing (A) fits around the end of a railcar axle. The part of the axle extending into the bearing is called the journal (B) . The bearing's roller components allow the journal to turn within the bearing with little friction. However, when a bearing fails, the resulting friction can be catastrophic. In East Palestine, the journal's cylindrical shape was worn down to a cone (C) . ( See box below .)" + }, + { + "self_ref": "#/texts/5", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "section_header", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 46.8, + "t": 373.269, + "r": 134.8146, + "b": 365.1875043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 21 + ] + } + ], + "orig": "Hot bearing detectors", + "text": "Hot bearing detectors", + "level": 1 + }, + { + "self_ref": "#/texts/6", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 46.8, + "t": 356.769, + "r": 380.7522000000002, + "b": 288.6875043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 461 + ] + } + ], + "orig": "Overheated wheel bearings are the most common mechanical or electrical cause of rail accidents. Because overheated bearings are so dangerous, railroad tracks are equipped with HBDs, devices located along the track that measure the bearing's temperature relative to the ambient temperature (D) . Ambient temperature means the temperature outside. For example, the ambient temperature at Sebring, Ohio, was measured by a thermometer at the nearby signal bungalow.", + "text": "Overheated wheel bearings are the most common mechanical or electrical cause of rail accidents. Because overheated bearings are so dangerous, railroad tracks are equipped with HBDs, devices located along the track that measure the bearing's temperature relative to the ambient temperature (D) . Ambient temperature means the temperature outside. For example, the ambient temperature at Sebring, Ohio, was measured by a thermometer at the nearby signal bungalow." + }, + { + "self_ref": "#/texts/7", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 405.0, + "t": 536.769, + "r": 747.4463999999987, + "b": 504.6875043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 257 + ] + } + ], + "orig": "Bearings can go from below-alarm temperature to seized in less than a minute. In this accident, however, fire was first photographed near the L1 bearing by a surveillance camera in Salem, Ohio (right), 39 minutes before the train derailed in East Palestine.", + "text": "Bearings can go from below-alarm temperature to seized in less than a minute. In this accident, however, fire was first photographed near the L1 bearing by a surveillance camera in Salem, Ohio (right), 39 minutes before the train derailed in East Palestine." + }, + { + "self_ref": "#/texts/8", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "section_header", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 405.0, + "t": 491.769, + "r": 465.6150000000001, + "b": 483.6875043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 14 + ] + } + ], + "orig": "The L1 bearing", + "text": "The L1 bearing", + "level": 1 + }, + { + "self_ref": "#/texts/9", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 405.0, + "t": 475.269, + "r": 545.7308, + "b": 419.1875043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 148 + ] + } + ], + "orig": "The bearing that caused the accident hopper car to derail was its L1 bearing, which is on the right side of the car, facing the direction of travel.", + "text": "The bearing that caused the accident hopper car to derail was its L1 bearing, which is on the right side of the car, facing the direction of travel." + }, + { + "self_ref": "#/texts/10", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 405.0, + "t": 410.769, + "r": 548.5022999999999, + "b": 330.6875043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 235 + ] + } + ], + "orig": "Railcar axles are numbered starting from the end of the railcar with the brake wheel (the 'B end'). When the B end is in the front of the car (when it faces the direction of travel) the 'left-side' wheels and bearings are on the right.", + "text": "Railcar axles are numbered starting from the end of the railcar with the brake wheel (the 'B end'). When the B end is in the front of the car (when it faces the direction of travel) the 'left-side' wheels and bearings are on the right." + }, + { + "self_ref": "#/texts/11", + "parent": { + "$ref": "#/pictures/0" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 686.3698, + "t": 375.2054468, + "r": 713.4175756000001, + "b": 365.23934631551725, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 6 + ] + } + ], + "orig": "Axle 1", + "text": "Axle 1" + }, + { + "self_ref": "#/texts/12", + "parent": { + "$ref": "#/pictures/0" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 624.2781, + "t": 375.2054468, + "r": 651.3258756, + "b": 365.23934631551725, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 6 + ] + } + ], + "orig": "Axle 2", + "text": "Axle 2" + }, + { + "self_ref": "#/texts/13", + "parent": { + "$ref": "#/pictures/0" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 695.1237, + "t": 330.3484468, + "r": 705.612066, + "b": 320.3823463155172, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 2 + ] + } + ], + "orig": "L1", + "text": "L1" + }, + { + "self_ref": "#/texts/14", + "parent": { + "$ref": "#/pictures/0" + }, + "children": [], + "content_layer": "body", + "label": "section_header", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 593.0918, + "t": 488.4558, + "r": 667.5128000000003, + "b": 480.3743043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 19 + ] + } + ], + "orig": "Direction of travel", + "text": "Direction of travel", + "level": 1 + }, + { + "self_ref": "#/texts/15", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "section_header", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 58.32, + "t": 263.6853, + "r": 314.595, + "b": 250.21614051724134, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 36 + ] + } + ], + "orig": "The undetected hot bearing burns off", + "text": "The undetected hot bearing burns off", + "level": 1 + }, + { + "self_ref": "#/texts/16", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 58.32, + "t": 238.2726, + "r": 235.04399999999987, + "b": 131.19110431034483, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 369 + ] + } + ], + "orig": "1. HBDs (D) measure the temperature on the outside of the bearing cup. When a bearing heats up inside, it may take 30-60 minutes for the HBD to sense it from the outside. The HBD in Salem measured a temperature of only 103\u00b0 above ambient, despite the fact that the bearing was on fire. So, it generated an alert to the Wayside Help Desk, not an alarm to the train crew.", + "text": "1. HBDs (D) measure the temperature on the outside of the bearing cup. When a bearing heats up inside, it may take 30-60 minutes for the HBD to sense it from the outside. The HBD in Salem measured a temperature of only 103\u00b0 above ambient, despite the fact that the bearing was on fire. So, it generated an alert to the Wayside Help Desk, not an alarm to the train crew." + }, + { + "self_ref": "#/texts/17", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 58.32, + "t": 123.77260000000001, + "r": 232.73099999999982, + "b": 60.691104310344826, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 206 + ] + } + ], + "orig": "2. By the time the alarm sounded at the East Palestine HBD, the journal was worn down to a cone, and it was too late. The hopper car and 37 others derailed as the train's emergency braking system activated.", + "text": "2. By the time the alarm sounded at the East Palestine HBD, the journal was worn down to a cone, and it was too late. The hopper car and 37 others derailed as the train's emergency braking system activated." + }, + { + "self_ref": "#/texts/18", + "parent": { + "$ref": "#/pictures/1" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 672.4547, + "t": 208.7127292, + "r": 690.1383808, + "b": 199.44846171896552, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 4 + ] + } + ], + "orig": "Axle", + "text": "Axle" + }, + { + "self_ref": "#/texts/19", + "parent": { + "$ref": "#/pictures/1" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 564.619, + "t": 79.17139999999995, + "r": 572.419, + "b": 68.39607241379304, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 1 + ] + } + ], + "orig": "D", + "text": "D" + }, + { + "self_ref": "#/texts/20", + "parent": { + "$ref": "#/pictures/1" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 493.468, + "t": 206.67275240000004, + "r": 509.2169176, + "b": 198.42208406724137, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 4 + ] + } + ], + "orig": "Axle", + "text": "Axle" + }, + { + "self_ref": "#/texts/21", + "parent": { + "$ref": "#/pictures/1" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 493.468, + "t": 102.58355240000003, + "r": 509.2169176, + "b": 94.33288406724137, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 4 + ] + } + ], + "orig": "Axle", + "text": "Axle" + }, + { + "self_ref": "#/texts/22", + "parent": { + "$ref": "#/pictures/1" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 360.686, + "t": 233.1465, + "r": 368.342, + "b": 222.3711724137931, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 1 + ] + } + ], + "orig": "B", + "text": "B" + }, + { + "self_ref": "#/texts/23", + "parent": { + "$ref": "#/pictures/1" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 292.76, + "t": 233.1465, + "r": 300.836, + "b": 222.3711724137931, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 1 + ] + } + ], + "orig": "A", + "text": "A" + }, + { + "self_ref": "#/texts/24", + "parent": { + "$ref": "#/pictures/1" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 328.9302, + "t": 145.08720000000005, + "r": 336.7782, + "b": 134.31187241379314, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 1 + ] + } + ], + "orig": "C", + "text": "C" + }, + { + "self_ref": "#/texts/25", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "section_header", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 839.4709, + "t": 535.6673, + "r": 997.5229000000005, + "b": 522.1981405172414, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 26 + ] + } + ], + "orig": "On fire but not 'critical'", + "text": "On fire but not 'critical'", + "level": 1 + }, + { + "self_ref": "#/texts/26", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "section_header", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 838.8, + "t": 511.2363, + "r": 870.1199999999999, + "b": 503.15480431034484, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 7 + ] + } + ], + "orig": "Sebring", + "text": "Sebring", + "level": 1 + }, + { + "self_ref": "#/texts/27", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 838.8, + "t": 494.7363, + "r": 1048.473899999999, + "b": 450.65480431034484, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 206 + ] + } + ], + "orig": "At 7:37 p.m. , at the Sebring HBD, the reading for the L1 bearing was only 38\u00b0F above ambient -not high enough to trigger an alert. The R1 bearing measured 20\u00b0F above ambient. But the L1 bearing was hotter.", + "text": "At 7:37 p.m. , at the Sebring HBD, the reading for the L1 bearing was only 38\u00b0F above ambient -not high enough to trigger an alert. The R1 bearing measured 20\u00b0F above ambient. But the L1 bearing was hotter." + }, + { + "self_ref": "#/texts/28", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "section_header", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 838.8, + "t": 440.9763, + "r": 864.2069999999999, + "b": 432.8948043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 5 + ] + } + ], + "orig": "Salem", + "text": "Salem", + "level": 1 + }, + { + "self_ref": "#/texts/29", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 838.8, + "t": 424.4763, + "r": 1060.3187999999984, + "b": 344.3948043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 385 + ] + } + ], + "orig": "At 8:13 p.m. , at the Salem HBD, the reading for the L1 bearing was 103\u00b0F above ambient . This reading was high enough to trigger a noncritical alert to the Wayside Help Desk ( see box ), but not to the crew. A surveillance camera picture from Salem showed fire near the bearing ( right ). Surveillance cameras in Sebring also captured images of the train, and no anomalies were noted.", + "text": "At 8:13 p.m. , at the Salem HBD, the reading for the L1 bearing was 103\u00b0F above ambient . This reading was high enough to trigger a noncritical alert to the Wayside Help Desk ( see box ), but not to the crew. A surveillance camera picture from Salem showed fire near the bearing ( right ). Surveillance cameras in Sebring also captured images of the train, and no anomalies were noted." + }, + { + "self_ref": "#/texts/30", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "section_header", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 838.8, + "t": 334.7163, + "r": 896.3945999999999, + "b": 326.6348043103448, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 14 + ] + } + ], + "orig": "East Palestine", + "text": "East Palestine", + "level": 1 + }, + { + "self_ref": "#/texts/31", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 838.8, + "t": 318.2163, + "r": 1059.4389999999994, + "b": 250.13490431034484, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 296 + ] + } + ], + "orig": "About 8:52 p.m ., the train went over the East Palestine HBD. Less than a minute later, the HBD recorded a temperature of 253\u00b0F above ambient at the L1 bearing; bearing R1 remained at 20\u00b0F above ambient. The HBD immediately transmitted a critical alarm, which was broadcast in the locomotive cab.", + "text": "About 8:52 p.m ., the train went over the East Palestine HBD. Less than a minute later, the HBD recorded a temperature of 253\u00b0F above ambient at the L1 bearing; bearing R1 remained at 20\u00b0F above ambient. The HBD immediately transmitted a critical alarm, which was broadcast in the locomotive cab." + }, + { + "self_ref": "#/texts/32", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 838.8, + "t": 241.71640000000002, + "r": 1058.4899999999977, + "b": 197.63490431034484, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 198 + ] + } + ], + "orig": "Under NS rules, if a train's crew hears a critical alarm, they must stop the train right away and inspect the wheelset that triggered the alarm. The engineer began to slow the train before 8:54 p.m.", + "text": "Under NS rules, if a train's crew hears a critical alarm, they must stop the train right away and inspect the wheelset that triggered the alarm. The engineer began to slow the train before 8:54 p.m." + }, + { + "self_ref": "#/texts/33", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 838.8, + "t": 189.21640000000002, + "r": 1059.8229000000015, + "b": 169.13490431034484, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 109 + ] + } + ], + "orig": "But it was too late; the hopper car and 37 others derailed as the train's emergency braking system activated.", + "text": "But it was too late; the hopper car and 37 others derailed as the train's emergency braking system activated." + }, + { + "self_ref": "#/texts/34", + "parent": { + "$ref": "#/pictures/2" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 833.9872, + "t": 133.88260000000002, + "r": 868.7184, + "b": 126.69904827586208, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 8 + ] + } 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"Salem" + }, + { + "self_ref": "#/texts/65", + "parent": { + "$ref": "#/pictures/4" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 1190.88, + "t": 248.1653, + "r": 1233.84, + "b": 240.98174827586206, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 10 + ] + } + ], + "orig": "Columbiana", + "text": "Columbiana" + }, + { + "self_ref": "#/texts/66", + "parent": { + "$ref": "#/pictures/4" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 1307.4, + "t": 248.1653, + "r": 1361.1616, + "b": 240.98174827586206, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 13 + ] + } + ], + "orig": "New Waterford", + "text": "New Waterford" + }, + { + "self_ref": "#/texts/67", + "parent": { + "$ref": "#/pictures/4" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 1412.64, + "t": 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in Atlanta, Georgia, monitors alerts from NS's HBDs. Critical alarms broadcast straight to the train crew. For noncritical alerts, the analyst monitors the train over HBDs it crosses later, paying attention to temperature trends. The single analyst on duty did not notice the Salem noncritical alert, as he dealt with higher-priority alerts. But if he did notice the alert, that would not have prevented the derailment. The analyst said that if he had seen the Salem HBD alert in real time, he would have followed NS rules and watched for alerts from HBDs it went over later. The next HBD the accident train went over was in East Palestine.", + "text": "The Wayside Help Desk in Atlanta, Georgia, monitors alerts from NS's HBDs. Critical alarms broadcast straight to the train crew. For noncritical alerts, the analyst monitors the train over HBDs it crosses later, paying attention to temperature trends. The single analyst on duty did not notice the Salem noncritical alert, as he dealt with higher-priority alerts. But if he did notice the alert, that would not have prevented the derailment. The analyst said that if he had seen the Salem HBD alert in real time, he would have followed NS rules and watched for alerts from HBDs it went over later. The next HBD the accident train went over was in East Palestine." + }, + { + "self_ref": "#/texts/70", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [ + { + "page_no": 1, + "bbox": { + "l": 1096.8, + "t": 91.73670000000004, + "r": 1455.1457999999986, + "b": 60.35520431034479, + "coord_origin": "BOTTOMLEFT" + }, + "charspan": [ + 0, + 247 + ] + } + ], + "orig": "In the East Palestine derailment, the alarm was received by the lead locomotive radio and broadcast over the in-cab speakers: ' Critical alarm, critical alarm, critical alarm. Norfolk Southern milepost 49.8, track 1 hotbox, axle 101, south rail. '", + "text": "In the East Palestine derailment, the alarm was received by the lead locomotive radio and broadcast over the in-cab speakers: ' Critical alarm, critical alarm, critical alarm. Norfolk Southern milepost 49.8, track 1 hotbox, axle 101, south rail. 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"BAAI/bge-m3", + "timing": { + "total_ms": 16.376660000005927, + "queue_ms": 1.5239920000027496, + "tokenization_ms": 0.01594000001148288, + "inference_ms": 14.71642499998893, + "postprocessing_ms": null + } + } + ], + "ranking": [ + { + "chunk_id": "chunk-12", + "text": "At 8:13 p.m. , at the Salem HBD, the reading for the L1 bearing was 103\u00b0F above ambient . This reading was high enough to trigger a noncritical alert to the Wayside Help Desk ( see box ), but not to the crew. A surveillance camera picture from Salem showed fire near the bearing ( right ). Surveillance cameras in Sebring also captured images of the train, and no anomalies were noted.", + "score": 0.6514437668440396 + }, + { + "chunk_id": "chunk-11", + "text": "At 7:37 p.m. , at the Sebring HBD, the reading for the L1 bearing was only 38\u00b0F above ambient -not high enough to trigger an alert. The R1 bearing measured 20\u00b0F above ambient. But the L1 bearing was hotter.", + "score": 0.623453926207204 + }, + { + "chunk_id": "chunk-1", + "text": "The East Palestine derailment began when an overheated bearing burned off the accident hopper car. Here is what you need to know about bearings, hot bearing detectors (HBDs), and what happened when the accident hopper car passed over the final three HBDs of the journey in the Ohio towns of Sebring, Salem, and East Palestine.", + "score": 0.5901347431958397 + }, + { + "chunk_id": "chunk-13", + "text": "About 8:52 p.m ., the train went over the East Palestine HBD. Less than a minute later, the HBD recorded a temperature of 253\u00b0F above ambient at the L1 bearing; bearing R1 remained at 20\u00b0F above ambient. The HBD immediately transmitted a critical alarm, which was broadcast in the locomotive cab.", + "score": 0.5791204326724206 + }, + { + "chunk_id": "chunk-4", + "text": "Bearings can go from below-alarm temperature to seized in less than a minute. In this accident, however, fire was first photographed near the L1 bearing by a surveillance camera in Salem, Ohio (right), 39 minutes before the train derailed in East Palestine.", + "score": 0.5772592566110322 + }, + { + "chunk_id": "chunk-16", + "text": "The Wayside Help Desk in Atlanta, Georgia, monitors alerts from NS's HBDs. Critical alarms broadcast straight to the train crew. For noncritical alerts, the analyst monitors the train over HBDs it crosses later, paying attention to temperature trends. The single analyst on duty did not notice the Salem noncritical alert, as he dealt with higher-priority alerts. But if he did notice the alert, that would not have prevented the derailment. The analyst said that if he had seen the Salem HBD alert in real time, he would have followed NS rules and watched for alerts from HBDs it went over later. The next HBD the accident train went over was in East Palestine.", + "score": 0.5535012017557331 + }, + { + "chunk_id": "chunk-17", + "text": "In the East Palestine derailment, the alarm was received by the lead locomotive radio and broadcast over the in-cab speakers: ' Critical alarm, critical alarm, critical alarm. Norfolk Southern milepost 49.8, track 1 hotbox, axle 101, south rail. '", + "score": 0.5389398186224985 + }, + { + "chunk_id": "chunk-8", + "text": "1. HBDs (D) measure the temperature on the outside of the bearing cup. When a bearing heats up inside, it may take 30-60 minutes for the HBD to sense it from the outside. The HBD in Salem measured a temperature of only 103\u00b0 above ambient, despite the fact that the bearing was on fire. So, it generated an alert to the Wayside Help Desk, not an alarm to the train crew.", + "score": 0.4943444648616066 + }, + { + "chunk_id": "chunk-9", + "text": "2. By the time the alarm sounded at the East Palestine HBD, the journal was worn down to a cone, and it was too late. The hopper car and 37 others derailed as the train's emergency braking system activated.", + "score": 0.4801823538897187 + }, + { + "chunk_id": "chunk-3", + "text": "Overheated wheel bearings are the most common mechanical or electrical cause of rail accidents. Because overheated bearings are so dangerous, railroad tracks are equipped with HBDs, devices located along the track that measure the bearing's temperature relative to the ambient temperature (D) . Ambient temperature means the temperature outside. For example, the ambient temperature at Sebring, Ohio, was measured by a thermometer at the nearby signal bungalow.", + "score": 0.4773513189814048 + }, + { + "chunk_id": "chunk-7", + "text": "## The undetected hot bearing burns off", + "score": 0.4551110978958068 + }, + { + "chunk_id": "chunk-0", + "text": "## When the bearing failed", + "score": 0.4143807667940103 + }, + { + "chunk_id": "chunk-5", + "text": "The bearing that caused the accident hopper car to derail was its L1 bearing, which is on the right side of the car, facing the direction of travel.", + "score": 0.4130846733378036 + }, + { + "chunk_id": "chunk-14", + "text": "Under NS rules, if a train's crew hears a critical alarm, they must stop the train right away and inspect the wheelset that triggered the alarm. The engineer began to slow the train before 8:54 p.m.", + "score": 0.4047552444014841 + }, + { + "chunk_id": "chunk-15", + "text": "But it was too late; the hopper car and 37 others derailed as the train's emergency braking system activated.", + "score": 0.397771606460534 + }, + { + "chunk_id": "chunk-10", + "text": "## On fire but not 'critical'", + "score": 0.3699911883210574 + }, + { + "chunk_id": "chunk-2", + "text": "A bearing (A) fits around the end of a railcar axle. The part of the axle extending into the bearing is called the journal (B) . The bearing's roller components allow the journal to turn within the bearing with little friction. However, when a bearing fails, the resulting friction can be catastrophic. In East Palestine, the journal's cylindrical shape was worn down to a cone (C) . ( See box below .)", + "score": 0.36256629225606457 + }, + { + "chunk_id": "chunk-6", + "text": "Railcar axles are numbered starting from the end of the railcar with the brake wheel (the 'B end'). When the B end is in the front of the car (when it faces the direction of travel) the 'left-side' wheels and bearings are on the right.", + "score": 0.2990737280225207 + } + ] +} diff --git a/examples/maintenance-triage-agent/verified-run/review.json b/examples/maintenance-triage-agent/verified-run/review.json new file mode 100644 index 00000000..aac38a97 --- /dev/null +++ b/examples/maintenance-triage-agent/verified-run/review.json @@ -0,0 +1,154 @@ +{ + "route": "read_only_detector_trend_review", + "source": "NTSB Illustrated Digest SPC-24-06, printed pages 4\u20135", + "bearing": "L1", + "detector_readings": [ + { + "location": "Sebring", + "time": "7:37 p.m.", + "degrees_f_above_ambient": 38, + "alert": "none" + }, + { + "location": "Salem", + "time": "8:13 p.m.", + "degrees_f_above_ambient": 103, + "alert": "noncritical alert to the Wayside Help Desk, not the crew", + "camera_observation": "fire near the bearing" + }, + { + "location": "East Palestine", + "time": "about 8:52 p.m.", + "degrees_f_above_ambient": 253, + "alert": "critical alarm broadcast in the locomotive cab" + } + ], + "trend": { + "successive_increases_degrees_f": [ + 65, + 150 + ], + "total_increase_degrees_f": 215, + "sebring_to_salem_minutes": 36, + "salem_to_east_palestine_minutes": 39 + }, + "engineer_action": "began slowing before 8:54 p.m.", + "derailment": { + "total_cars": 38, + "statement": "the hopper car and 37 others derailed as emergency braking activated" + }, + "ntsb_cause_statement": "The East Palestine derailment began when an overheated bearing burned off the accident hopper car.", + "ranked_source_evidence": [ + { + "chunk_id": "chunk-12", + "rank": 0, + "score": 0.94921875, + "text": "At 8:13 p.m. , at the Salem HBD, the reading for the L1 bearing was 103\u00b0F above ambient . This reading was high enough to trigger a noncritical alert to the Wayside Help Desk ( see box ), but not to the crew. A surveillance camera picture from Salem showed fire near the bearing ( right ). Surveillance cameras in Sebring also captured images of the train, and no anomalies were noted." + }, + { + "chunk_id": "chunk-1", + "rank": 1, + "score": 0.9375, + "text": "The East Palestine derailment began when an overheated bearing burned off the accident hopper car. Here is what you need to know about bearings, hot bearing detectors (HBDs), and what happened when the accident hopper car passed over the final three HBDs of the journey in the Ohio towns of Sebring, Salem, and East Palestine." + }, + { + "chunk_id": "chunk-11", + "rank": 2, + "score": 0.91015625, + "text": "At 7:37 p.m. , at the Sebring HBD, the reading for the L1 bearing was only 38\u00b0F above ambient -not high enough to trigger an alert. The R1 bearing measured 20\u00b0F above ambient. But the L1 bearing was hotter." + }, + { + "chunk_id": "chunk-4", + "rank": 3, + "score": 0.90625, + "text": "Bearings can go from below-alarm temperature to seized in less than a minute. In this accident, however, fire was first photographed near the L1 bearing by a surveillance camera in Salem, Ohio (right), 39 minutes before the train derailed in East Palestine." + }, + { + "chunk_id": "chunk-13", + "rank": 4, + "score": 0.8359375, + "text": "About 8:52 p.m ., the train went over the East Palestine HBD. Less than a minute later, the HBD recorded a temperature of 253\u00b0F above ambient at the L1 bearing; bearing R1 remained at 20\u00b0F above ambient. The HBD immediately transmitted a critical alarm, which was broadcast in the locomotive cab." + }, + { + "chunk_id": "chunk-8", + "rank": 5, + "score": 0.46875, + "text": "1. HBDs (D) measure the temperature on the outside of the bearing cup. When a bearing heats up inside, it may take 30-60 minutes for the HBD to sense it from the outside. The HBD in Salem measured a temperature of only 103\u00b0 above ambient, despite the fact that the bearing was on fire. So, it generated an alert to the Wayside Help Desk, not an alarm to the train crew." + }, + { + "chunk_id": "chunk-9", + "rank": 6, + "score": 0.37890625, + "text": "2. By the time the alarm sounded at the East Palestine HBD, the journal was worn down to a cone, and it was too late. The hopper car and 37 others derailed as the train's emergency braking system activated." + }, + { + "chunk_id": "chunk-17", + "rank": 7, + "score": 0.08447265625, + "text": "In the East Palestine derailment, the alarm was received by the lead locomotive radio and broadcast over the in-cab speakers: ' Critical alarm, critical alarm, critical alarm. Norfolk Southern milepost 49.8, track 1 hotbox, axle 101, south rail. '" + }, + { + "chunk_id": "chunk-7", + "rank": 8, + "score": 0.033203125, + "text": "## The undetected hot bearing burns off" + }, + { + "chunk_id": "chunk-0", + "rank": 9, + "score": 0.0274658203125, + "text": "## When the bearing failed" + }, + { + "chunk_id": "chunk-16", + "rank": 10, + "score": 0.013427734375, + "text": "The Wayside Help Desk in Atlanta, Georgia, monitors alerts from NS's HBDs. Critical alarms broadcast straight to the train crew. For noncritical alerts, the analyst monitors the train over HBDs it crosses later, paying attention to temperature trends. The single analyst on duty did not notice the Salem noncritical alert, as he dealt with higher-priority alerts. But if he did notice the alert, that would not have prevented the derailment. The analyst said that if he had seen the Salem HBD alert in real time, he would have followed NS rules and watched for alerts from HBDs it went over later. The next HBD the accident train went over was in East Palestine." + }, + { + "chunk_id": "chunk-3", + "rank": 11, + "score": 0.01043701171875, + "text": "Overheated wheel bearings are the most common mechanical or electrical cause of rail accidents. Because overheated bearings are so dangerous, railroad tracks are equipped with HBDs, devices located along the track that measure the bearing's temperature relative to the ambient temperature (D) . Ambient temperature means the temperature outside. For example, the ambient temperature at Sebring, Ohio, was measured by a thermometer at the nearby signal bungalow." + }, + { + "chunk_id": "chunk-5", + "rank": 12, + "score": 0.0086669921875, + "text": "The bearing that caused the accident hopper car to derail was its L1 bearing, which is on the right side of the car, facing the direction of travel." + }, + { + "chunk_id": "chunk-10", + "rank": 13, + "score": 0.007171630859375, + "text": "## On fire but not 'critical'" + }, + { + "chunk_id": "chunk-15", + "rank": 14, + "score": 0.006744384765625, + "text": "But it was too late; the hopper car and 37 others derailed as the train's emergency braking system activated." + }, + { + "chunk_id": "chunk-2", + "rank": 15, + "score": 0.0005035400390625, + "text": "A bearing (A) fits around the end of a railcar axle. The part of the axle extending into the bearing is called the journal (B) . The bearing's roller components allow the journal to turn within the bearing with little friction. However, when a bearing fails, the resulting friction can be catastrophic. In East Palestine, the journal's cylindrical shape was worn down to a cone (C) . ( See box below .)" + }, + { + "chunk_id": "chunk-14", + "rank": 16, + "score": 0.0003452301025390625, + "text": "Under NS rules, if a train's crew hears a critical alarm, they must stop the train right away and inspect the wheelset that triggered the alarm. The engineer began to slow the train before 8:54 p.m." + }, + { + "chunk_id": "chunk-6", + "rank": 17, + "score": 1.150369644165039e-05, + "text": "Railcar axles are numbered starting from the end of the railcar with the brake wheel (the 'B end'). When the B end is in the front of the car (when it faces the direction of travel) the 'left-side' wheels and bearings are on the right." + } + ], + "new_causal_inferences": [], + "control_writes": [], + "safety_boundary": "Read-only reconstruction of the NTSB's published detector sequence." +} diff --git a/examples/prior-authorization-review-agent/.env.example b/examples/prior-authorization-review-agent/.env.example new file mode 100644 index 00000000..535bc541 --- /dev/null +++ b/examples/prior-authorization-review-agent/.env.example @@ -0,0 +1,2 @@ +SIE_CLUSTER_URL=http://localhost:8080 +SIE_API_KEY= diff --git a/examples/prior-authorization-review-agent/.gitignore b/examples/prior-authorization-review-agent/.gitignore new file mode 100644 index 00000000..c1e16049 --- /dev/null +++ b/examples/prior-authorization-review-agent/.gitignore @@ -0,0 +1,7 @@ +.env +.venv/ +.pytest_cache/ +.ruff_cache/ +__pycache__/ +*.pyc +runs/ diff --git a/examples/prior-authorization-review-agent/README.md b/examples/prior-authorization-review-agent/README.md new file mode 100644 index 00000000..03268dbd --- /dev/null +++ b/examples/prior-authorization-review-agent/README.md @@ -0,0 +1,88 @@ +# Reproduce CMS's L1851 documentation finding + +CMS publishes an example in which a supplier submits an L1851 claim with a +correctly coded order, an adequate medical-necessity record, and proof of +delivery. The face-to-face encounter happened seven months before proof of +delivery. CMS requires it within six months. + +This project parses the published example, retrieves and reranks its evidence, +extracts source spans, maps exact ranked fragments, then validates the one-month +timing gap in ordinary code. Its output reproduces the CMS result: +`insufficient documentation error`, followed by `MAC recoups payment`. + +It does not decide coverage or medical necessity. It makes no diagnosis, +treatment recommendation, or prospective payment decision. + +## What runs on SIE + +| Step | Model | Output | +|---|---|---| +| Parse the CMS excerpt | `docling-project/docling` | Markdown | +| Retrieve candidate passages | `BAAI/bge-m3` | Dense vectors and cosine ranking | +| Put the controlling passages first | `Qwen/Qwen3-Reranker-4B` | Ranked source evidence | +| Extract named requirement and case spans | `urchade/gliner_multi-v2.1` | Source spans with offsets and scores | +| Recover requirements, submission facts, and outcome spans | `fastino/gliner2-large-v1` | Labeled entity spans from three bounded source groups | + +Every stage consumes the prior stage. The three GLiNER2 calls cover +requirements, the submitted record, and the published outcome. Each call sees +only the deduplicated shortest CMS fragments needed for that group. The run +requires the model to recover the controlling phrases, including `L1851`, +`6 months`, `7 months`, `insufficient documentation`, and `recoups payment`. +Ordinary code then maps the exact ranked CMS fragments to the review fields. +The raw response is written before the next group runs. + +The deterministic validator then requires all of these facts: + +- HCPCS code `L1851` +- a six-month face-to-face window +- a face-to-face encounter documented seven months before proof of delivery +- CMS's `insufficient documentation error` conclusion +- CMS's statement that the MAC recoups payment + +Missing, conflicting, or untraceable model output stops the run. The one-month +gap is calculated from the two extracted month counts. + +## Source + +The only case input is an exact excerpt from CMS's [Lower Limb +Orthoses][cms-source] page, last modified February 11, 2026. It contains no +invented patient, packet, or evaluation set. + +See [fixtures/SOURCES.md](fixtures/SOURCES.md) for the source boundary. + +## Run it + +```bash +cd examples/prior-authorization-review-agent +cp .env.example .env +uv sync + +uv run review-pa --run-id local +uv run eval-pa runs/local +``` + +Set `SIE_CLUSTER_URL` and `SIE_API_KEY` to use SIE Cloud. The default points to +a local server at `http://localhost:8080`. + +## Evidence bundle + +```text +runs//manifest.json endpoint, model IDs, source hash, latency +runs//raw/parse.json complete Docling response +runs//raw/retrieve.json embeddings and cosine ranking +runs//raw/rerank.json complete reranker response +runs//raw/entities.json combined GLiNER entity spans +runs//raw/gliner2-requirements.json GLiNER2 requirement spans +runs//raw/gliner2-submission.json GLiNER2 submission spans +runs//raw/gliner2-outcome.json GLiNER2 outcome spans +runs//raw/mapped.json validated exact-fragment mapping +runs//parsed.md parsed CMS excerpt used downstream +runs//review.json validated reproduction of the CMS result +runs//evaluation.json source, arithmetic, and boundary checks +``` + +The manifest records `SIE_SERVER_COMMIT` and `SIE_RUN_COMMAND` when they are +present in the environment. Recorded latency includes model provisioning and is +not a performance claim. + +[cms-source]: https://www.cms.gov/training-education/medicare-learning-networkr-mln/compliance/medicare-provider-compliance-tips/lower-limb-orthoses diff --git a/examples/prior-authorization-review-agent/config.yaml b/examples/prior-authorization-review-agent/config.yaml new file mode 100644 index 00000000..75cd8445 --- /dev/null +++ b/examples/prior-authorization-review-agent/config.yaml @@ -0,0 +1,16 @@ +cluster: + url: "http://localhost:8080" + api_key: "" + provision_timeout_s: 900 + +models: + parse: "docling-project/docling" + retrieve: "BAAI/bge-m3" + rerank: "Qwen/Qwen3-Reranker-4B" + entities: "urchade/gliner_multi-v2.1" + extract: "fastino/gliner2-large-v1" + +review: + query: "For CMS's published L1851 example, what was required, what was submitted, what timing gap caused insufficient documentation, and what payment action followed?" + candidate_chunks: 12 + top_k: 12 diff --git a/examples/prior-authorization-review-agent/fixtures/SOURCES.md b/examples/prior-authorization-review-agent/fixtures/SOURCES.md new file mode 100644 index 00000000..d1f7cc5e --- /dev/null +++ b/examples/prior-authorization-review-agent/fixtures/SOURCES.md @@ -0,0 +1,20 @@ +# Source and boundary + +The sole case input is an exact excerpt from the Centers for Medicare & +Medicaid Services page [Lower Limb Orthoses][cms]. The excerpt contains CMS's +published L1851 insufficient-documentation example plus the requirement that +the face-to-face encounter occur within six months. + +- Publisher: Centers for Medicare & Medicaid Services +- Page last modified: February 11, 2026 +- Local input: `cms-l1851-insufficient-documentation.html` +- Case status: published CMS example, not synthetic patient data + +The local HTML adds only publisher, source URL, and last-modified metadata. +Its case and requirement prose preserves the CMS text. + +This software reproduces the route and payment action in that published +example. It does not decide coverage, medical necessity, diagnosis, treatment, +or a future claim's payment status. + +[cms]: https://www.cms.gov/training-education/medicare-learning-networkr-mln/compliance/medicare-provider-compliance-tips/lower-limb-orthoses diff --git a/examples/prior-authorization-review-agent/fixtures/cms-l1851-insufficient-documentation.html b/examples/prior-authorization-review-agent/fixtures/cms-l1851-insufficient-documentation.html new file mode 100644 index 00000000..123c7a47 --- /dev/null +++ b/examples/prior-authorization-review-agent/fixtures/cms-l1851-insufficient-documentation.html @@ -0,0 +1,52 @@ + + + + + Lower Limb Orthoses | CMS + + +
+
+

Centers for Medicare & Medicaid Services

+

Lower Limb Orthoses

+

+ Source: + https://www.cms.gov/training-education/medicare-learning-networkr-mln/compliance/medicare-provider-compliance-tips/lower-limb-orthoses +

+

Page Last Modified: 02/11/2026 04:18 PM

+
+ +
+

Billing & Coding Criteria

+

+ We require prior authorization, a face-to-face encounter, and written order prior to delivery for HCPCS + codes L1832 and L1851. Conduct the face-to-face encounter within the 6 months before prescribing the item. +

+
+ +
+

Example of Improper Payments Due to Insufficient Documentation for Lower Limb Orthoses

+

+ A supplier bills the claim for L1851 (Knee orthosis (KO), single upright, thigh and calf, with adjustable + flexion and extension joint (unicentric or polycentric), medial-lateral and rotation control, with or without + varus/valgus adjustment, prefabricated, off-the-shelf) and submits the following documentation per the review + contractor’s request: +

+
    +
  • Standard written order with correct HCPCS coding
    • +
  • Treating practitioner’s medical record that has adequate medical necessity information
    • +
  • Proof of delivery with face-to-face encounter 7 months ago
    • +
+ +

What Documentation Was Missing?

+

The doctor didn’t document the face-to-face encounter within 6 months of proof of delivery.

+ +

What Happens Next?

+

+ The review contractor completes the claim as an insufficient documentation error, and the MAC recoups + payment. +

+
+
+ + diff --git a/examples/prior-authorization-review-agent/prior_authorization/__init__.py b/examples/prior-authorization-review-agent/prior_authorization/__init__.py new file mode 100644 index 00000000..836893ed --- /dev/null +++ b/examples/prior-authorization-review-agent/prior_authorization/__init__.py @@ -0,0 +1 @@ +"""Reproduce CMS's published L1851 documentation example.""" diff --git a/examples/prior-authorization-review-agent/prior_authorization/evaluate.py b/examples/prior-authorization-review-agent/prior_authorization/evaluate.py new file mode 100644 index 00000000..f99ed31b --- /dev/null +++ b/examples/prior-authorization-review-agent/prior_authorization/evaluate.py @@ -0,0 +1,130 @@ +from __future__ import annotations + +import argparse +import hashlib +import json +from dataclasses import asdict, dataclass +from pathlib import Path +from typing import Any + +from rich.console import Console +from rich.table import Table + +ROOT = Path(__file__).resolve().parents[1] +console = Console() + + +@dataclass(frozen=True) +class Check: + name: str + passed: bool + detail: str + + +def evaluate_review(review: dict[str, Any]) -> list[Check]: + evidence = review.get("ranked_source_evidence", []) + evidence_text = "\n".join(str(row.get("text", "")) for row in evidence).casefold() + return [ + Check( + "published-cms-example-scope", + review.get("published_example") is True and str(review.get("scope", "")).startswith("Reproduction of CMS"), + str(review.get("scope")), + ), + Check("hcpcs-code", review.get("hcpcs_code") == "L1851", str(review.get("hcpcs_code"))), + Check( + "insufficient-documentation-route", + review.get("route") == "insufficient_documentation", + str(review.get("route")), + ), + Check( + "six-month-requirement", + review.get("required_face_to_face_within_months") == 6, + str(review.get("required_face_to_face_within_months")), + ), + Check( + "seven-month-observation", + review.get("documented_face_to_face_age_months") == 7, + str(review.get("documented_face_to_face_age_months")), + ), + Check("one-month-gap", review.get("overdue_by_months") == 1, str(review.get("overdue_by_months"))), + Check( + "missing-timely-face-to-face", + review.get("missing_documentation") == ["face-to-face encounter within 6 months of proof of delivery"], + str(review.get("missing_documentation")), + ), + Check( + "published-payment-action", + review.get("review_conclusion") == "insufficient documentation error" + and review.get("payment_action") == "MAC recoups payment", + f"{review.get('review_conclusion')}; {review.get('payment_action')}", + ), + Check( + "ranked-source-evidence", + bool(evidence) + and all( + token in evidence_text + for token in ( + "l1851", + "within the 6 months", + "face-to-face encounter 7 months ago", + "insufficient documentation error", + "mac recoups payment", + ) + ), + str([row.get("chunk_id") for row in evidence]), + ), + Check( + "no-new-coverage-or-medical-decision", + review.get("coverage_decision") is None and review.get("medical_decision") is None, + f"coverage={review.get('coverage_decision')}; medical={review.get('medical_decision')}", + ), + ] + + +def _record_evaluation_artifact(run_dir: Path) -> None: + manifest_path = run_dir / "manifest.json" + if not manifest_path.exists(): + return + evaluation_path = run_dir / "evaluation.json" + manifest = json.loads(manifest_path.read_text(encoding="utf-8")) + artifacts = [ + entry + for entry in manifest.get("artifacts", []) + if isinstance(entry, dict) and entry.get("path") != "evaluation.json" + ] + artifacts.append( + { + "path": "evaluation.json", + "sha256": hashlib.sha256(evaluation_path.read_bytes()).hexdigest(), + } + ) + manifest["artifacts"] = sorted(artifacts, key=lambda entry: str(entry["path"])) + manifest_path.write_text(json.dumps(manifest, indent=2) + "\n", encoding="utf-8") + + +def evaluate_run(run_dir: Path) -> bool: + review = json.loads((run_dir / "review.json").read_text(encoding="utf-8")) + checks = evaluate_review(review) + passed = all(check.passed for check in checks) + (run_dir / "evaluation.json").write_text( + json.dumps({"passed": passed, "checks": [asdict(check) for check in checks]}, indent=2) + "\n", + encoding="utf-8", + ) + _record_evaluation_artifact(run_dir) + table = Table("Check", "Result", "Detail") + for check in checks: + table.add_row(check.name, "[green]pass[/]" if check.passed else "[red]fail[/]", check.detail) + console.print(table) + return passed + + +def main() -> None: + parser = argparse.ArgumentParser(description="Evaluate a saved CMS L1851 example reproduction") + parser.add_argument("run_dir", type=Path) + args = parser.parse_args() + if not evaluate_run(args.run_dir): + raise SystemExit(1) + + +if __name__ == "__main__": + main() diff --git a/examples/prior-authorization-review-agent/prior_authorization/review.py b/examples/prior-authorization-review-agent/prior_authorization/review.py new file mode 100644 index 00000000..aa93a363 --- /dev/null +++ b/examples/prior-authorization-review-agent/prior_authorization/review.py @@ -0,0 +1,694 @@ +from __future__ import annotations + +import argparse +import hashlib +import json +import math +import os +import re +import time +from datetime import UTC, datetime +from pathlib import Path +from typing import Any + +import yaml +from dotenv import load_dotenv +from rich.console import Console +from sie_sdk import SIEClient +from sie_sdk.types import Item + +ROOT = Path(__file__).resolve().parents[1] +RUNS_DIR = ROOT / "runs" +DOCUMENT_PATH = ROOT / "fixtures" / "cms-l1851-insufficient-documentation.html" +CONFIG_PATH = ROOT / "config.yaml" +SOURCE_URL = ( + "https://www.cms.gov/training-education/medicare-learning-networkr-mln/" + "compliance/medicare-provider-compliance-tips/lower-limb-orthoses" +) +console = Console() + +ENTITY_LABELS = [ + "procedure code", + "administrative requirement", + "time requirement", + "submitted document", + "documentation gap", + "review conclusion", + "payment action", +] +REQUIREMENT_FIELDS = ( + "hcpcs_code", + "authorization_requirement_text", + "face_to_face_requirement_text", + "written_order_requirement_text", + "face_to_face_window_text", +) +SUBMISSION_FIELDS = ( + "submitted_order", + "submitted_medical_record", + "submitted_proof_of_delivery", + "documented_face_to_face_age", +) +OUTCOME_FIELDS = ("missing_documentation", "review_conclusion", "payment_action") +FIELD_SPECS: dict[str, dict[str, Any]] = { + "hcpcs_code": { + "description": "Return only the exact HCPCS code billed by the supplier in the example.", + "scope_tokens": ("supplier bills the claim", "l1851"), + }, + "authorization_requirement_text": { + "description": "Return the shortest exact source text naming prior authorization as required for L1851.", + "scope_tokens": ("prior authorization", "l1851"), + }, + "face_to_face_requirement_text": { + "description": "Return the shortest exact source text naming a face-to-face encounter as required for L1851.", + "scope_tokens": ("face-to-face encounter", "l1851"), + }, + "written_order_requirement_text": { + "description": "Return the shortest exact source text naming the written-order-prior-to-delivery requirement.", + "scope_tokens": ("written order prior to delivery", "l1851"), + }, + "face_to_face_window_text": { + "description": "Return only the exact source text stating the face-to-face encounter timing window.", + "scope_tokens": ("within the 6 months", "prescribing the item"), + }, + "submitted_order": { + "description": "Return the exact source text describing the submitted standard written order.", + "scope_tokens": ("standard written order", "correct hcpcs"), + }, + "submitted_medical_record": { + "description": "Return the exact source text describing the submitted treating practitioner's medical record.", + "scope_tokens": ("medical record", "adequate medical necessity"), + }, + "submitted_proof_of_delivery": { + "description": "Return the exact source text describing the submitted proof of delivery and encounter timing.", + "scope_tokens": ("proof of delivery", "face-to-face encounter 7 months ago"), + }, + "documented_face_to_face_age": { + "description": "Return only the exact source text stating the age of the face-to-face encounter.", + "scope_tokens": ("face-to-face encounter 7 months ago",), + }, + "missing_documentation": { + "description": "Return the exact source text stating what documentation was missing.", + "scope_tokens": ("didn", "within 6 months", "proof of delivery"), + }, + "review_conclusion": { + "description": "Return only the exact source text naming the review contractor's conclusion.", + "scope_tokens": ("insufficient documentation error",), + }, + "payment_action": { + "description": "Return only the exact source text naming the MAC's payment action.", + "scope_tokens": ("mac", "recoups", "payment"), + }, +} +GROUP_FIELDS: dict[str, tuple[str, ...]] = { + "requirements": ( + "authorization_requirement_text", + "face_to_face_requirement_text", + "written_order_requirement_text", + "face_to_face_window_text", + ), + "submission": ( + "hcpcs_code", + "submitted_order", + "submitted_medical_record", + "submitted_proof_of_delivery", + "documented_face_to_face_age", + ), + "outcome": ("missing_documentation", "review_conclusion", "payment_action"), +} +GLINER2_GROUP_LABELS = { + "requirements": ["administrative requirement", "time requirement", "procedure code"], + "submission": ["procedure code", "standard written order", "medical record", "proof of delivery", "time period"], + "outcome": ["missing documentation", "claim result", "payment action", "organization", "time period"], +} +GLINER2_REQUIRED_SPANS = { + "requirements": ("prior authorization", "face-to-face encounter", "written order", "6 months"), + "submission": ("l1851", "medical record", "proof of delivery", "7 months"), + "outcome": ("face-to-face encounter", "6 months", "insufficient documentation", "recoups payment"), +} + + +def load_config() -> dict[str, Any]: + load_dotenv(ROOT / ".env") + config = yaml.safe_load(CONFIG_PATH.read_text(encoding="utf-8")) + config["cluster"]["url"] = os.getenv("SIE_CLUSTER_URL", config["cluster"]["url"]) + config["cluster"]["api_key"] = os.getenv("SIE_API_KEY", config["cluster"]["api_key"]) + return config + + +def _runtime_model_id(config: dict[str, Any], key: str) -> str: + model = str(config["models"][key]) + cluster_url = str(config["cluster"]["url"]).casefold() + if model == "docling-project/docling" and cluster_url.startswith( + ("http://localhost:", "http://127.0.0.1:", "http://[::1]:") + ): + return "docling" + return model + + +def sha256(path: Path) -> str: + return hashlib.sha256(path.read_bytes()).hexdigest() + + +def _json_default(value: Any) -> Any: + if hasattr(value, "tolist"): + return value.tolist() + if hasattr(value, "model_dump"): + return value.model_dump(mode="json") + raise TypeError(f"Cannot serialize {type(value).__name__}") + + +def _write_json(path: Path, value: Any) -> None: + path.write_text(json.dumps(value, indent=2, default=_json_default) + "\n", encoding="utf-8") + + +def _dense(result: dict[str, Any]) -> list[float]: + values: Any = result.get("dense") + if isinstance(values, dict): + values = values.get("values") or values.get("vector") + if hasattr(values, "tolist"): + values = values.tolist() + if not isinstance(values, list): + raise TypeError("Embedding response has no dense vector") + return [float(value) for value in values] + + +def _cosine(left: list[float], right: list[float]) -> float: + dot = sum(a * b for a, b in zip(left, right, strict=True)) + left_norm = math.sqrt(sum(value * value for value in left)) + right_norm = math.sqrt(sum(value * value for value in right)) + if left_norm == 0 or right_norm == 0: + raise RuntimeError("Embedding response has a zero-length vector") + return dot / (left_norm * right_norm) + + +def _chunks(markdown: str) -> list[str]: + chunks: list[str] = [] + current: list[str] = [] + + def flush() -> None: + if current: + chunks.append(" ".join(current)) + current.clear() + + for raw_line in markdown.splitlines(): + line = raw_line.strip() + if not line: + continue + if line.startswith("#"): + flush() + chunks.append(line) + continue + if line.startswith(("-", "*", "+")): + flush() + chunks.append(line) + continue + current.append(line) + if line.endswith((".", ":", "?", "!")): + flush() + flush() + chunks = [chunk for chunk in chunks if len(chunk) > 24] + if not chunks: + raise RuntimeError("Docling returned no usable CMS source chunks") + return chunks + + +def _require_fields(data: dict[str, Any], required: tuple[str, ...], stage: str) -> None: + missing = sorted(set(required) - set(data)) + if missing: + raise RuntimeError(f"Mapped {stage} evidence omitted required fields: {missing}") + + +def _source_fragments(text: str) -> list[str]: + fragments = [text.strip()] + for raw_line in text.splitlines(): + inline_bullets = re.split(r"\s+(?=[-*+]\s+[A-Z])", raw_line.strip()) + for raw_fragment in inline_bullets: + line = re.sub(r"^(?:#{1,6}\s+|[-*+]\s+|\d+[.)]\s+)", "", raw_fragment).strip() + if not line: + continue + fragments.append(line) + fragments.extend(part.strip() for part in re.split(r"(?<=[.!?])\s+(?=[A-Z])", line) if part.strip()) + return list(dict.fromkeys(fragments)) + + +def _source_scope(ranked: list[dict[str, Any]], field: str) -> dict[str, Any]: + tokens = tuple(FIELD_SPECS[field]["scope_tokens"]) + matches: list[dict[str, Any]] = [] + for row in ranked: + if not row.get("chunk_id"): + continue + for fragment in _source_fragments(str(row.get("text", ""))): + if all(token in fragment.casefold() for token in tokens): + matches.append({**row, "text": fragment}) + if not matches: + raise RuntimeError(f"Reranked CMS evidence omitted the exact source scope for {field}: {tokens}") + return min(matches, key=lambda row: (len(str(row["text"])), int(row.get("rank", 0)))) + + +def _group_source_scope(ranked: list[dict[str, Any]], group: str) -> dict[str, Any]: + field_scopes = {canonical_field: _source_scope(ranked, canonical_field) for canonical_field in GROUP_FIELDS[group]} + fragments: list[str] = [] + seen: set[str] = set() + for scope in field_scopes.values(): + fragment = str(scope["text"]).strip() + normalized = _normalized_source_text(fragment) + if normalized not in seen: + fragments.append(fragment) + seen.add(normalized) + return { + "text": "\n\n".join(fragments), + "field_scopes": field_scopes, + "chunk_ids": list(dict.fromkeys(str(scope["chunk_id"]) for scope in field_scopes.values())), + } + + +def _normalized_source_text(value: str) -> str: + return " ".join(value.replace("’", "'").split()).casefold() + + +def _require_gliner2_group_evidence(response: dict[str, Any], group: str) -> None: + observed = _normalized_source_text(" ".join(str(entity.get("text", "")) for entity in response.get("entities", []))) + missing = [span for span in GLINER2_REQUIRED_SPANS[group] if span not in observed] + if missing: + raise RuntimeError(f"GLiNER2 {group} extraction omitted exact CMS source spans: {missing}") + + +def _require_tokens(value: str, tokens: tuple[str, ...], field: str) -> None: + normalized = value.casefold() + missing = [token for token in tokens if token not in normalized] + if missing: + raise RuntimeError(f"GLiNER2 {field} output omitted source terms {missing}: {value!r}") + + +def _month_count(value: str, field: str) -> int: + match = re.search(r"\b(\d+)\s+months?\b", value.casefold()) + if match is None: + raise RuntimeError(f"GLiNER2 {field} output has no month count: {value!r}") + return int(match.group(1)) + + +def _require_entity_evidence(result: dict[str, Any]) -> None: + observed = " ".join(str(entity.get("text", "")) for entity in result.get("entities", [])).casefold() + required = ("l1851", "6 months", "7 months") + missing = [token for token in required if token not in observed] + if missing: + raise RuntimeError(f"GLiNER did not recover required CMS source spans: {missing}") + + +def _require_ranked_evidence(ranked: list[dict[str, Any]]) -> None: + if not ranked: + raise RuntimeError("Reranker returned no evidence") + texts: list[str] = [] + for row in ranked: + text = str(row.get("text", "")).strip() + if not row.get("chunk_id") or not text: + raise RuntimeError("Reranker evidence must retain its chunk identity and source text") + texts.append(text) + joined = "\n".join(texts).casefold() + required = ( + "l1851", + "prior authorization", + "written order prior to delivery", + "within the 6 months", + "face-to-face encounter 7 months ago", + "insufficient documentation error", + "mac recoups payment", + ) + missing = [token for token in required if token not in joined] + if missing: + raise RuntimeError(f"Reranker evidence omitted required CMS text: {missing}") + + +def _select_evidence_rows( + ranked: list[dict[str, Any]], + terms: tuple[str, ...], + stage: str, +) -> list[dict[str, Any]]: + selected = [row for row in ranked if any(term in str(row["text"]).casefold() for term in terms)] + if not selected: + raise RuntimeError(f"No reranked CMS evidence remained for {stage}") + return sorted(selected, key=lambda row: int(str(row["chunk_id"]).split("-")[-1])) + + +def build_review( + requirements: dict[str, Any], + submission: dict[str, Any], + outcome: dict[str, Any], + ranked: list[dict[str, Any]], +) -> dict[str, Any]: + _require_ranked_evidence(ranked) + _require_fields(requirements, REQUIREMENT_FIELDS, "requirements") + _require_fields(submission, SUBMISSION_FIELDS, "submission") + _require_fields(outcome, OUTCOME_FIELDS, "outcome") + + code = str(requirements["hcpcs_code"]).strip().upper() + if code != "L1851": + raise RuntimeError(f"Mapped evidence returned the wrong HCPCS code: {code!r}") + _require_tokens( + str(requirements["authorization_requirement_text"]), + ("prior authorization",), + "authorization_requirement_text", + ) + _require_tokens( + str(requirements["face_to_face_requirement_text"]), + ("face-to-face",), + "face_to_face_requirement_text", + ) + _require_tokens( + str(requirements["written_order_requirement_text"]), + ("written order", "prior to delivery"), + "written_order_requirement_text", + ) + + required_months = _month_count( + str(requirements["face_to_face_window_text"]), + "face_to_face_window_text", + ) + observed_months = _month_count( + str(submission["documented_face_to_face_age"]), + "documented_face_to_face_age", + ) + if required_months != 6: + raise RuntimeError(f"Mapped evidence returned the wrong face-to-face window: {required_months}") + if observed_months != 7: + raise RuntimeError(f"Mapped evidence returned the wrong encounter age: {observed_months}") + + _require_tokens(str(submission["submitted_order"]), ("standard written order", "hcpcs"), "submitted_order") + _require_tokens( + str(submission["submitted_medical_record"]), + ("medical", "adequate", "necessity"), + "submitted_medical_record", + ) + _require_tokens( + str(submission["submitted_proof_of_delivery"]), + ("proof of delivery", "face-to-face"), + "submitted_proof_of_delivery", + ) + _require_tokens( + str(outcome["missing_documentation"]), + ("face-to-face", "within 6 months", "proof of delivery"), + "missing_documentation", + ) + _require_tokens(str(outcome["review_conclusion"]), ("insufficient documentation",), "review_conclusion") + _require_tokens(str(outcome["payment_action"]), ("mac", "recoup", "payment"), "payment_action") + + overdue_by_months = observed_months - required_months + if overdue_by_months <= 0: + raise RuntimeError("Published example does not establish an overdue face-to-face encounter") + return { + "scope": "Reproduction of CMS's published L1851 insufficient-documentation example", + "route": "insufficient_documentation", + "headline": "The face-to-face encounter fell one month outside CMS's six-month window", + "hcpcs_code": code, + "required_face_to_face_within_months": required_months, + "documented_face_to_face_age_months": observed_months, + "overdue_by_months": overdue_by_months, + "submitted_documentation": { + "order": str(submission["submitted_order"]), + "medical_record": str(submission["submitted_medical_record"]), + "proof_of_delivery": str(submission["submitted_proof_of_delivery"]), + }, + "missing_documentation": ["face-to-face encounter within 6 months of proof of delivery"], + "review_conclusion": "insufficient documentation error", + "payment_action": "MAC recoups payment", + "source": { + "publisher": "Centers for Medicare & Medicaid Services", + "title": "Lower Limb Orthoses", + "url": SOURCE_URL, + "page_last_modified": "2026-02-11", + }, + "ranked_source_evidence": ranked, + "published_example": True, + "coverage_decision": None, + "medical_decision": None, + } + + +def _extract_gliner2_group( + client: SIEClient, + config: dict[str, Any], + group: str, + scope: dict[str, Any], +) -> tuple[dict[str, Any], dict[str, Any]]: + source_text = str(scope["text"]) + stage = f"gliner2_{group}" + started = time.perf_counter() + response = client.extract( + config["models"]["extract"], + Item(id=f"cms-l1851-{group}", text=source_text), + labels=GLINER2_GROUP_LABELS[group], + wait_for_capacity=True, + provision_timeout_s=config["cluster"]["provision_timeout_s"], + ) + call = { + "stage": stage, + "model": config["models"]["extract"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + "source_chunk_ids": scope["chunk_ids"], + "source_sha256": hashlib.sha256(source_text.encode("utf-8")).hexdigest(), + "source_fragment_sha256": { + canonical_field: hashlib.sha256(str(field_scope["text"]).encode("utf-8")).hexdigest() + for canonical_field, field_scope in scope["field_scopes"].items() + }, + } + return response, call + + +def run(run_id: str) -> Path: + config = load_config() + parse_model = _runtime_model_id(config, "parse") + run_dir = RUNS_DIR / run_id + raw_dir = run_dir / "raw" + raw_dir.mkdir(parents=True, exist_ok=False) + calls: list[dict[str, Any]] = [] + timeout = config["cluster"]["provision_timeout_s"] + + with SIEClient(config["cluster"]["url"], api_key=config["cluster"]["api_key"] or None, timeout_s=900) as client: + started = time.perf_counter() + parsed = client.extract( + parse_model, + Item(id="cms-l1851-published-example", document=DOCUMENT_PATH), + options={"profile": "default"}, + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": "parse", + "model": parse_model, + "configured_model": config["models"]["parse"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / "parse.json", parsed) + markdown = str(parsed.get("data", {}).get("markdown", "")) + (run_dir / "parsed.md").write_text(markdown, encoding="utf-8") + chunks = _chunks(markdown) + + started = time.perf_counter() + query_embedding = client.encode( + config["models"]["retrieve"], + Item(id="cms-l1851-query", text=config["review"]["query"]), + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + chunk_embeddings = [ + client.encode( + config["models"]["retrieve"], + Item(id=f"chunk-{index}", text=text), + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + for index, text in enumerate(chunks) + ] + retrieval = sorted( + [ + {"chunk_id": f"chunk-{index}", "text": text, "score": _cosine(_dense(query_embedding), _dense(result))} + for index, (text, result) in enumerate(zip(chunks, chunk_embeddings, strict=True)) + ], + key=lambda row: row["score"], + reverse=True, + )[: config["review"]["candidate_chunks"]] + calls.append( + { + "stage": "retrieve", + "model": config["models"]["retrieve"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json( + raw_dir / "retrieve.json", + {"query": query_embedding, "chunks": chunk_embeddings, "ranking": retrieval}, + ) + + started = time.perf_counter() + rerank_raw = client.score( + config["models"]["rerank"], + Item(id="cms-l1851-query", text=config["review"]["query"]), + [Item(id=row["chunk_id"], text=row["text"]) for row in retrieval], + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + by_id = {row["chunk_id"]: row["text"] for row in retrieval} + ranked = [ + { + "chunk_id": row["item_id"], + "rank": row["rank"], + "score": row["score"], + "text": by_id[row["item_id"]], + } + for row in sorted(rerank_raw["scores"], key=lambda item: item["rank"]) + ][: config["review"]["top_k"]] + calls.append( + { + "stage": "rerank", + "model": config["models"]["rerank"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / "rerank.json", rerank_raw) + requirements_rows = _select_evidence_rows( + ranked, + ("we require prior authorization", "within the 6 months"), + "requirements", + ) + submission_rows = _select_evidence_rows( + ranked, + ( + "standard written order", + "medical necessity information", + "proof of delivery with face-to-face", + ), + "submission", + ) + outcome_rows = _select_evidence_rows( + ranked, + ( + "didn't document the face-to-face", + "insufficient documentation error", + "mac recoups", + ), + "outcome", + ) + entity_outputs: list[dict[str, Any]] = [] + requirement_labels = ["procedure code", "administrative requirement", "time requirement"] + case_labels = [ + "procedure code", + "submitted document", + "time period", + "documentation gap", + "review conclusion", + "payment action", + ] + entity_inputs = [ + (f"entities_requirement_{index}", str(row["text"]), requirement_labels) + for index, row in enumerate(requirements_rows) + ] + entity_inputs.extend( + (f"entities_case_{index}", str(row["text"]), case_labels) + for index, row in enumerate([*submission_rows, *outcome_rows]) + ) + for stage, text, labels in entity_inputs: + started = time.perf_counter() + response = client.extract( + config["models"]["entities"], + Item(id=f"cms-l1851-{stage}", text=text), + labels=labels, + wait_for_capacity=True, + provision_timeout_s=timeout, + ) + calls.append( + { + "stage": stage, + "model": config["models"]["entities"], + "latency_ms": round((time.perf_counter() - started) * 1000, 1), + } + ) + _write_json(raw_dir / f"{stage.replace('_', '-')}.json", response) + entity_outputs.append(response) + entities = { + "model": config["models"]["entities"], + "entities": [entity for response in entity_outputs for entity in response.get("entities", [])], + } + _write_json(raw_dir / "entities.json", entities) + _require_entity_evidence(entities) + + structured: dict[str, str] = {} + source_scopes: dict[str, dict[str, Any]] = {} + for group in GROUP_FIELDS: + scope = _group_source_scope(ranked, group) + response, call = _extract_gliner2_group(client, config, group, scope) + calls.append(call) + _write_json(raw_dir / f"gliner2-{group}.json", response) + _require_gliner2_group_evidence(response, group) + for canonical_field, field_scope in scope["field_scopes"].items(): + source_text = str(field_scope["text"]).strip() + if canonical_field == "hcpcs_code": + code_match = re.search(r"\bL1851\b", source_text, flags=re.IGNORECASE) + if code_match is None: + raise RuntimeError("The ranked CMS claim scope omitted L1851") + source_text = code_match.group() + structured[canonical_field] = source_text + source_scopes[canonical_field] = { + "group": group, + "chunk_id": field_scope["chunk_id"], + "source_sha256": call["source_fragment_sha256"][canonical_field], + } + _write_json( + raw_dir / "mapped.json", + { + "method": "Exact ranked CMS fragments validated against GLiNER2 source spans", + "data": structured, + "source_scopes": source_scopes, + }, + ) + + review = build_review( + {field: structured[field] for field in REQUIREMENT_FIELDS}, + {field: structured[field] for field in SUBMISSION_FIELDS}, + {field: structured[field] for field in OUTCOME_FIELDS}, + ranked, + ) + + _write_json(run_dir / "review.json", review) + artifact_paths = [run_dir / "parsed.md", run_dir / "review.json", *sorted(raw_dir.glob("*.json"))] + manifest = { + "created_at": datetime.now(UTC).isoformat(), + "endpoint": config["cluster"]["url"], + "sie_server_commit": os.getenv("SIE_SERVER_COMMIT"), + "run_command": os.getenv("SIE_RUN_COMMAND"), + "models": config["models"], + "fixture": {"path": str(DOCUMENT_PATH.relative_to(ROOT)), "sha256": sha256(DOCUMENT_PATH)}, + "artifacts": [{"path": str(path.relative_to(run_dir)), "sha256": sha256(path)} for path in artifact_paths], + "source": review["source"], + "calls": calls, + "pipeline": [ + "parse", + "retrieve", + "rerank", + "entities_requirements", + "entities_case", + *[f"gliner2_{group}" for group in GROUP_FIELDS], + "deterministic_source_mapping", + "deterministic_validation", + ], + "decision_boundary": ( + "This run reproduces one example published by CMS. It does not make a coverage, medical-necessity, " + "diagnosis, treatment, or prospective payment decision." + ), + } + _write_json(run_dir / "manifest.json", manifest) + console.print(f"[green]Wrote[/] {run_dir}") + return run_dir + + +def main() -> None: + parser = argparse.ArgumentParser(description="Reproduce CMS's published L1851 insufficient-documentation example") + parser.add_argument("--run-id", default=datetime.now(UTC).strftime("%Y%m%dT%H%M%SZ")) + args = parser.parse_args() + run(args.run_id) + + +if __name__ == "__main__": + main() diff --git a/examples/prior-authorization-review-agent/pyproject.toml b/examples/prior-authorization-review-agent/pyproject.toml new file mode 100644 index 00000000..4dc7baa1 --- /dev/null +++ b/examples/prior-authorization-review-agent/pyproject.toml @@ -0,0 +1,36 @@ +[project] +name = "prior-authorization-review-agent" +version = "0.1.0" +description = "Reproduce CMS's published L1851 insufficient-documentation example with SIE" +readme = "README.md" +requires-python = ">=3.12,<3.13" +dependencies = [ + "python-dotenv>=1.0", + "pyyaml>=6.0", + "rich>=13.7", + "sie-sdk>=0.6.23", +] + +[project.scripts] +review-pa = "prior_authorization.review:main" +eval-pa = "prior_authorization.evaluate:main" + +[dependency-groups] +dev = [ + "pytest>=9.0", + "ruff>=0.14", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["prior_authorization"] + +[tool.ruff] +line-length = 120 +target-version = "py312" + +[tool.pytest.ini_options] +testpaths = ["tests"] diff --git a/examples/prior-authorization-review-agent/tests/test_review.py b/examples/prior-authorization-review-agent/tests/test_review.py new file mode 100644 index 00000000..b813c141 --- /dev/null +++ b/examples/prior-authorization-review-agent/tests/test_review.py @@ -0,0 +1,362 @@ +import hashlib +import json +from pathlib import Path + +from prior_authorization.evaluate import evaluate_review, evaluate_run +from prior_authorization.review import ( + FIELD_SPECS, + GLINER2_GROUP_LABELS, + GLINER2_REQUIRED_SPANS, + GROUP_FIELDS, + OUTCOME_FIELDS, + REQUIREMENT_FIELDS, + SUBMISSION_FIELDS, + _chunks, + _group_source_scope, + _require_gliner2_group_evidence, + _runtime_model_id, + _source_fragments, + _source_scope, + build_review, +) + +ROOT = Path(__file__).resolve().parents[1] + + +def test_docling_line_wraps_stay_in_complete_cms_statements() -> None: + markdown = """## Billing and Coding Criteria for Lower Limb Orthoses + +We require prior authorization for HCPCS + +codes L1832 and L1851. + + ### What Happens Next for the Published CMS Claim? + +The review contractor completes the claim, and the MAC recoups + +payment. +""" + assert _chunks(markdown) == [ + "## Billing and Coding Criteria for Lower Limb Orthoses", + "We require prior authorization for HCPCS codes L1832 and L1851.", + "### What Happens Next for the Published CMS Claim?", + "The review contractor completes the claim, and the MAC recoups payment.", + ] + + +def test_public_docling_id_translates_only_for_a_direct_local_server() -> None: + local = {"cluster": {"url": "http://localhost:8080"}, "models": {"parse": "docling-project/docling"}} + cloud = {"cluster": {"url": "https://api.superlinked.com"}, "models": {"parse": "docling-project/docling"}} + assert _runtime_model_id(local, "parse") == "docling" + assert _runtime_model_id(cloud, "parse") == "docling-project/docling" + + +def test_docling_bullets_stay_as_distinct_submission_chunks() -> None: + markdown = """### Documentation submitted + +- Standard written order with correct HCPCS coding +- Treating practitioner's medical record that has adequate medical necessity information +- Proof of delivery with face-to-face encounter 7 months ago +""" + assert _chunks(markdown) == [ + "### Documentation submitted", + "- Standard written order with correct HCPCS coding", + "- Treating practitioner's medical record that has adequate medical necessity information", + "- Proof of delivery with face-to-face encounter 7 months ago", + ] + + +def test_joined_docling_bullets_map_to_distinct_source_fragments() -> None: + joined = ( + "- Standard written order with correct HCPCS coding " + "- Treating practitioner's medical record that has adequate medical necessity information " + "- Proof of delivery with face-to-face encounter 7 months ago" + ) + assert _source_fragments(joined)[1:] == [ + "Standard written order with correct HCPCS coding", + "Treating practitioner's medical record that has adequate medical necessity information", + "Proof of delivery with face-to-face encounter 7 months ago", + ] + evidence = [{"chunk_id": "chunk-5", "rank": 1, "score": 0.9, "text": joined}] + assert _source_scope(evidence, "submitted_order")["text"] == "Standard written order with correct HCPCS coding" + assert _source_scope(evidence, "submitted_medical_record")["text"] == ( + "Treating practitioner's medical record that has adequate medical necessity information" + ) + assert _source_scope(evidence, "submitted_proof_of_delivery")["text"] == ( + "Proof of delivery with face-to-face encounter 7 months ago" + ) + + +def requirements_data() -> dict[str, str]: + return { + "hcpcs_code": "L1851", + "authorization_requirement_text": "prior authorization is required", + "face_to_face_requirement_text": "a face-to-face encounter is required", + "written_order_requirement_text": "written order prior to delivery is required", + "face_to_face_window_text": "within the 6 months before prescribing the item", + } + + +def submission_data() -> dict[str, str]: + return { + "submitted_order": "Standard written order with correct HCPCS coding", + "submitted_medical_record": ( + "Treating practitioner's medical record that has adequate medical necessity information" + ), + "submitted_proof_of_delivery": "Proof of delivery with face-to-face encounter 7 months ago", + "documented_face_to_face_age": "7 months ago", + } + + +def outcome_data() -> dict[str, str]: + return { + "missing_documentation": ( + "The doctor didn't document the face-to-face encounter within 6 months of proof of delivery." + ), + "review_conclusion": "The review contractor completes the claim as an insufficient documentation error.", + "payment_action": "The MAC recoups payment.", + } + + +def ranked_evidence() -> list[dict[str, object]]: + return [ + { + "chunk_id": "chunk-0", + "rank": 1, + "score": 0.99, + "text": ( + "We require prior authorization, a face-to-face encounter, and written order prior to delivery for " + "HCPCS codes L1832 and L1851. Conduct the face-to-face encounter within the 6 months before " + "prescribing the item." + ), + }, + { + "chunk_id": "chunk-1", + "rank": 2, + "score": 0.98, + "text": ( + "A supplier bills the claim for L1851 and submits a standard written order with correct HCPCS coding, " + "a treating practitioner's medical record with adequate medical necessity information, and proof of " + "delivery with face-to-face encounter 7 months ago. The review contractor completes the claim as an " + "insufficient documentation error, and the MAC recoups payment." + ), + }, + ] + + +def source_scope_evidence() -> list[dict[str, object]]: + return [ + { + "chunk_id": "chunk-0", + "rank": 1, + "score": 0.99, + "text": ( + "We require prior authorization, a face-to-face encounter, and written order prior to delivery for " + "HCPCS codes L1832 and L1851. Conduct the face-to-face encounter within the 6 months before " + "prescribing the item." + ), + }, + { + "chunk_id": "chunk-1", + "rank": 2, + "score": 0.98, + "text": ( + "A supplier bills the claim for L1851 (Knee orthosis (KO), single upright, thigh and calf, with " + "adjustable flexion and extension joint) and submits the following documentation." + ), + }, + { + "chunk_id": "chunk-2", + "rank": 3, + "score": 0.97, + "text": ( + "- Standard written order with correct HCPCS coding\n" + "- Treating practitioner's medical record that has adequate medical necessity information\n" + "- Proof of delivery with face-to-face encounter 7 months ago" + ), + }, + { + "chunk_id": "chunk-3", + "rank": 4, + "score": 0.96, + "text": "The doctor didn’t document the face-to-face encounter within 6 months of proof of delivery.", + }, + { + "chunk_id": "chunk-4", + "rank": 5, + "score": 0.95, + "text": ( + "The review contractor completes the claim as an insufficient documentation error, and the MAC " + "recoups payment." + ), + }, + ] + + +def build_valid_review() -> dict[str, object]: + return build_review(requirements_data(), submission_data(), outcome_data(), ranked_evidence()) + + +def test_gliner2_groups_cover_every_canonical_field() -> None: + canonical_fields = set(REQUIREMENT_FIELDS) | set(SUBMISSION_FIELDS) | set(OUTCOME_FIELDS) + assert set(FIELD_SPECS) == canonical_fields + mapped_fields = {field for fields in GROUP_FIELDS.values() for field in fields} + assert mapped_fields == canonical_fields + assert set(GLINER2_GROUP_LABELS) == set(GROUP_FIELDS) + assert set(GLINER2_REQUIRED_SPANS) == set(GROUP_FIELDS) + + +def test_each_field_gets_the_smallest_exact_ranked_source_scope() -> None: + evidence = source_scope_evidence() + scopes = {field: _source_scope(evidence, field) for field in FIELD_SPECS} + assert scopes["face_to_face_window_text"]["text"] == ( + "Conduct the face-to-face encounter within the 6 months before prescribing the item." + ) + assert scopes["submitted_order"]["text"] == "Standard written order with correct HCPCS coding" + assert scopes["documented_face_to_face_age"]["text"] == ( + "Proof of delivery with face-to-face encounter 7 months ago" + ) + assert scopes["payment_action"]["chunk_id"] == "chunk-4" + + +def test_group_inputs_deduplicate_the_smallest_exact_field_scopes() -> None: + evidence = source_scope_evidence() + requirements = _group_source_scope(evidence, "requirements") + submission = _group_source_scope(evidence, "submission") + outcome = _group_source_scope(evidence, "outcome") + assert len(requirements["text"].split("\n\n")) == 2 + assert len(submission["text"].split("\n\n")) == 4 + assert len(outcome["text"].split("\n\n")) == 2 + assert requirements["chunk_ids"] == ["chunk-0"] + assert submission["chunk_ids"] == ["chunk-1", "chunk-2"] + assert outcome["chunk_ids"] == ["chunk-3", "chunk-4"] + + +def test_gliner2_evidence_gate_accepts_required_exact_spans() -> None: + response = { + "entities": [ + {"text": "prior authorization"}, + {"text": "a face-to-face encounter"}, + {"text": "written order prior to delivery"}, + {"text": "within the 6 months before prescribing the item"}, + ] + } + _require_gliner2_group_evidence(response, "requirements") + + +def test_gliner2_evidence_gate_rejects_a_missing_required_span() -> None: + response = { + "entities": [ + {"text": "within 6 months"}, + {"text": "insufficient documentation error"}, + {"text": "the MAC recoups"}, + ] + } + try: + _require_gliner2_group_evidence(response, "outcome") + except RuntimeError as exc: + assert "payment" in str(exc) + else: + raise AssertionError("Accepted GLiNER2 evidence without the payment span") + + +def test_fixture_preserves_the_published_cms_case() -> None: + source = (ROOT / "fixtures" / "cms-l1851-insufficient-documentation.html").read_text(encoding="utf-8") + assert "Proof of delivery with face-to-face encounter 7 months ago" in source + assert "The doctor didn’t document the face-to-face encounter within 6 months of proof of delivery." in source + assert "The review contractor completes the claim as an insufficient documentation error" in source + assert "the MAC recoups" in source + + +def test_reproduces_cms_route_and_one_month_gap() -> None: + review = build_valid_review() + assert review["route"] == "insufficient_documentation" + assert review["hcpcs_code"] == "L1851" + assert review["required_face_to_face_within_months"] == 6 + assert review["documented_face_to_face_age_months"] == 7 + assert review["overdue_by_months"] == 1 + assert review["payment_action"] == "MAC recoups payment" + + +def test_review_stays_inside_published_example_boundary() -> None: + review = build_valid_review() + assert review["coverage_decision"] is None + assert review["medical_decision"] is None + assert all(check.passed for check in evaluate_review(review)) + + +def test_evaluator_records_its_artifact_in_the_manifest(tmp_path: Path) -> None: + (tmp_path / "review.json").write_text(json.dumps(build_valid_review()), encoding="utf-8") + (tmp_path / "manifest.json").write_text( + json.dumps( + { + "artifacts": [ + {"path": "review.json", "sha256": "preserved"}, + {"path": "evaluation.json", "sha256": "stale"}, + ] + } + ), + encoding="utf-8", + ) + + assert evaluate_run(tmp_path) is True + + manifest = json.loads((tmp_path / "manifest.json").read_text(encoding="utf-8")) + assert [entry["path"] for entry in manifest["artifacts"]] == ["evaluation.json", "review.json"] + evaluation = tmp_path / "evaluation.json" + assert manifest["artifacts"][0]["sha256"] == hashlib.sha256(evaluation.read_bytes()).hexdigest() + assert manifest["artifacts"][1]["sha256"] == "preserved" + + +def test_fails_closed_when_required_window_changes() -> None: + requirements = requirements_data() + requirements["face_to_face_window_text"] = "within 8 months" + try: + build_review(requirements, submission_data(), outcome_data(), ranked_evidence()) + except RuntimeError as exc: + assert "wrong face-to-face window" in str(exc) + else: + raise AssertionError("build_review accepted a requirement that conflicts with the CMS source") + + +def test_fails_closed_when_gliner2_omits_a_field() -> None: + outcome = outcome_data() + del outcome["payment_action"] + try: + build_review(requirements_data(), submission_data(), outcome, ranked_evidence()) + except RuntimeError as exc: + assert "omitted required fields" in str(exc) + else: + raise AssertionError("build_review accepted an incomplete GLiNER2 outcome") + + +def test_fails_closed_without_ranked_payment_action() -> None: + evidence = ranked_evidence() + evidence[1]["text"] = str(evidence[1]["text"]).replace("and the MAC recoups payment.", "") + try: + build_review(requirements_data(), submission_data(), outcome_data(), evidence) + except RuntimeError as exc: + assert "mac recoups payment" in str(exc) + else: + raise AssertionError("build_review accepted ranked evidence without the published payment action") + + +def test_fails_closed_when_submission_age_is_not_seven_months() -> None: + submission = submission_data() + submission["documented_face_to_face_age"] = "5 months ago" + try: + build_review(requirements_data(), submission, outcome_data(), ranked_evidence()) + except RuntimeError as exc: + assert "wrong encounter age" in str(exc) + else: + raise AssertionError("build_review accepted a timing observation that conflicts with the CMS source") + + +def test_verified_manifest_hashes() -> None: + manifest_path = ROOT / "verified-run" / "manifest.json" + manifest = json.loads(manifest_path.read_text(encoding="utf-8")) + fixture = manifest["fixture"] + assert hashlib.sha256((ROOT / fixture["path"]).read_bytes()).hexdigest() == fixture["sha256"] + for entry in manifest["artifacts"]: + artifact = manifest_path.parent / entry["path"] + assert hashlib.sha256(artifact.read_bytes()).hexdigest() == entry["sha256"] diff --git a/examples/prior-authorization-review-agent/uv.lock 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It does not make a coverage, medical-necessity, diagnosis, treatment, or prospective payment decision." +} diff --git a/examples/prior-authorization-review-agent/verified-run/parsed.md b/examples/prior-authorization-review-agent/verified-run/parsed.md new file mode 100644 index 00000000..27d70e8c --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/parsed.md @@ -0,0 +1,37 @@ +# Lower Limb Orthoses + +Source: + +https://www.cms.gov/training-education/medicare-learning-networkr-mln/compliance/medicare-provider-compliance-tips/lower-limb-orthoses + +Page Last Modified: 02/11/2026 04:18 PM + +## Billing & Coding Criteria + +We require prior authorization, a face-to-face encounter, and written order prior to delivery for HCPCS + +codes L1832 and L1851. Conduct the face-to-face encounter within the 6 months before prescribing the item. + +## Example of Improper Payments Due to Insufficient Documentation for Lower Limb Orthoses + +A supplier bills the claim for L1851 (Knee orthosis (KO), single upright, thigh and calf, with adjustable + +flexion and extension joint (unicentric or polycentric), medial-lateral and rotation control, with or without + +varus/valgus adjustment, prefabricated, off-the-shelf) and submits the following documentation per the review + +contractor's request: + +- Standard written order with correct HCPCS coding +- Treating practitioner's medical record that has adequate medical necessity information +- Proof of delivery with face-to-face encounter 7 months ago + +### What Documentation Was Missing? + +The doctor didn't document the face-to-face encounter within 6 months of proof of delivery. + +### What Happens Next? + +The review contractor completes the claim as an insufficient documentation error, and the MAC recoups + +payment. \ No newline at end of file diff --git a/examples/prior-authorization-review-agent/verified-run/raw/entities-case-0.json b/examples/prior-authorization-review-agent/verified-run/raw/entities-case-0.json new file mode 100644 index 00000000..6a109e06 --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/entities-case-0.json @@ -0,0 +1,8 @@ +{ + "entities": [], + "relations": [], + "classifications": [], + "objects": [], + "id": "cms-l1851-entities_case_0", + "model": "urchade/gliner_multi-v2.1" +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/entities-case-1.json b/examples/prior-authorization-review-agent/verified-run/raw/entities-case-1.json new file mode 100644 index 00000000..5f393751 --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/entities-case-1.json @@ -0,0 +1,8 @@ +{ + "entities": [], + "relations": [], + "classifications": [], + "objects": [], + "id": "cms-l1851-entities_case_1", + "model": "urchade/gliner_multi-v2.1" +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/entities-case-2.json b/examples/prior-authorization-review-agent/verified-run/raw/entities-case-2.json new file mode 100644 index 00000000..90cc0ecd --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/entities-case-2.json @@ -0,0 +1,17 @@ +{ + "entities": [ + { + "text": "7 months ago", + "label": "time period", + "score": 0.73681640625, + "start": 48, + "end": 60, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "cms-l1851-entities_case_2", + "model": "urchade/gliner_multi-v2.1" +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/entities-case-3.json b/examples/prior-authorization-review-agent/verified-run/raw/entities-case-3.json new file mode 100644 index 00000000..eda67689 --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/entities-case-3.json @@ -0,0 +1,17 @@ +{ + "entities": [ + { + "text": "6 months", + "label": "time period", + "score": 0.8623046875, + "start": 61, + "end": 69, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "cms-l1851-entities_case_3", + "model": "urchade/gliner_multi-v2.1" +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/entities-case-4.json b/examples/prior-authorization-review-agent/verified-run/raw/entities-case-4.json new file mode 100644 index 00000000..01939bd4 --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/entities-case-4.json @@ -0,0 +1,8 @@ +{ + "entities": [], + "relations": [], + "classifications": [], + "objects": [], + "id": "cms-l1851-entities_case_4", + "model": "urchade/gliner_multi-v2.1" +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/entities-requirement-0.json b/examples/prior-authorization-review-agent/verified-run/raw/entities-requirement-0.json new file mode 100644 index 00000000..08578cc4 --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/entities-requirement-0.json @@ -0,0 +1,33 @@ +{ + "entities": [ + { + "text": "prior authorization", + "label": "administrative requirement", + "score": 0.560546875, + "start": 11, + "end": 30, + "bbox": null + }, + { + "text": "L1832", + "label": "procedure code", + "score": 0.7470703125, + "start": 110, + "end": 115, + "bbox": null + }, + { + "text": "L1851", + "label": "procedure code", + "score": 0.80517578125, + "start": 120, + "end": 125, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "cms-l1851-entities_requirement_0", + "model": "urchade/gliner_multi-v2.1" +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/entities.json b/examples/prior-authorization-review-agent/verified-run/raw/entities.json new file mode 100644 index 00000000..77fb9002 --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/entities.json @@ -0,0 +1,45 @@ +{ + "model": "urchade/gliner_multi-v2.1", + "entities": [ + { + "text": "prior authorization", + "label": "administrative requirement", + "score": 0.560546875, + "start": 11, + "end": 30, + "bbox": null + }, + { + "text": "L1832", + "label": "procedure code", + "score": 0.7470703125, + "start": 110, + "end": 115, + "bbox": null + }, + { + "text": "L1851", + "label": "procedure code", + "score": 0.80517578125, + "start": 120, + "end": 125, + "bbox": null + }, + { + "text": "7 months ago", + "label": "time period", + "score": 0.73681640625, + "start": 48, + "end": 60, + "bbox": null + }, + { + "text": "6 months", + "label": "time period", + "score": 0.8623046875, + "start": 61, + "end": 69, + "bbox": null + } + ] +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/gliner2-outcome.json b/examples/prior-authorization-review-agent/verified-run/raw/gliner2-outcome.json new file mode 100644 index 00000000..dbf1b3cb --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/gliner2-outcome.json @@ -0,0 +1,65 @@ +{ + "entities": [ + { + "text": "doctor", + "label": "organization", + "score": 0.5498046875, + "start": 4, + "end": 10, + "bbox": null + }, + { + "text": "face-to-face encounter", + "label": "missing documentation", + "score": 0.92626953125, + "start": 31, + "end": 53, + "bbox": null + }, + { + "text": "6 months", + "label": "time period", + "score": 0.99267578125, + "start": 61, + "end": 69, + "bbox": null + }, + { + "text": "review contractor", + "label": "organization", + "score": 0.85546875, + "start": 97, + "end": 114, + "bbox": null + }, + { + "text": "insufficient documentation error", + "label": "claim result", + "score": 0.92919921875, + "start": 141, + "end": 173, + "bbox": null + }, + { + "text": "MAC", + "label": "organization", + "score": 0.97216796875, + "start": 183, + "end": 186, + "bbox": null + }, + { + "text": "recoups payment", + "label": "payment action", + "score": 0.9326171875, + "start": 187, + "end": 202, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "cms-l1851-outcome", + "model": "fastino/gliner2-large-v1" +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/gliner2-requirements.json b/examples/prior-authorization-review-agent/verified-run/raw/gliner2-requirements.json new file mode 100644 index 00000000..add31c9e --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/gliner2-requirements.json @@ -0,0 +1,57 @@ +{ + "entities": [ + { + "text": "prior authorization", + "label": "administrative requirement", + "score": 0.97314453125, + "start": 11, + "end": 30, + "bbox": null + }, + { + "text": "written order", + "label": "administrative requirement", + "score": 0.92724609375, + "start": 62, + "end": 75, + "bbox": null + }, + { + "text": "HCPCS codes L1832", + "label": "procedure code", + "score": 0.82421875, + "start": 98, + "end": 115, + "bbox": null + }, + { + "text": "L1851", + "label": "procedure code", + "score": 0.72802734375, + "start": 120, + "end": 125, + "bbox": null + }, + { + "text": "face-to-face encounter", + "label": "administrative requirement", + "score": 0.9580078125, + "start": 140, + "end": 162, + "bbox": null + }, + { + "text": "6 months", + "label": "time requirement", + "score": 0.86474609375, + "start": 174, + "end": 182, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "cms-l1851-requirements", + "model": "fastino/gliner2-large-v1" +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/gliner2-submission.json b/examples/prior-authorization-review-agent/verified-run/raw/gliner2-submission.json new file mode 100644 index 00000000..3a430bbc --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/gliner2-submission.json @@ -0,0 +1,57 @@ +{ + "entities": [ + { + "text": "L1851", + "label": "procedure code", + "score": 0.978515625, + "start": 31, + "end": 36, + "bbox": null + }, + { + "text": "HCPCS coding", + "label": "standard written order", + "score": 0.6884765625, + "start": 385, + "end": 397, + "bbox": null + }, + { + "text": "practitioner's medical record", + "label": "medical record", + "score": 0.65869140625, + "start": 408, + "end": 437, + "bbox": null + }, + { + "text": "Proof of delivery", + "label": "proof of delivery", + "score": 0.7314453125, + "start": 487, + "end": 504, + "bbox": null + }, + { + "text": "face-to-face encounter", + "label": "proof of delivery", + "score": 0.62646484375, + "start": 510, + "end": 532, + "bbox": null + }, + { + "text": "7 months ago", + "label": "time period", + "score": 0.9765625, + "start": 533, + "end": 545, + "bbox": null + } + ], + "relations": [], + "classifications": [], + "objects": [], + "id": "cms-l1851-submission", + "model": "fastino/gliner2-large-v1" +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/mapped.json b/examples/prior-authorization-review-agent/verified-run/raw/mapped.json new file mode 100644 index 00000000..da419cd6 --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/mapped.json @@ -0,0 +1,79 @@ +{ + "method": "Exact ranked CMS fragments validated against GLiNER2 source spans", + "data": { + "authorization_requirement_text": "We require prior authorization, a face-to-face encounter, and written order prior to delivery for HCPCS codes L1832 and L1851.", + "face_to_face_requirement_text": "We require prior authorization, a face-to-face encounter, and written order prior to delivery for HCPCS codes L1832 and L1851.", + "written_order_requirement_text": "We require prior authorization, a face-to-face encounter, and written order prior to delivery for HCPCS codes L1832 and L1851.", + "face_to_face_window_text": "Conduct the face-to-face encounter within the 6 months before prescribing the item.", + "hcpcs_code": "L1851", + "submitted_order": "Standard written order with correct HCPCS coding", + "submitted_medical_record": "Treating practitioner's medical record that has adequate medical necessity information", + "submitted_proof_of_delivery": "Proof of delivery with face-to-face encounter 7 months ago", + "documented_face_to_face_age": "Proof of delivery with face-to-face encounter 7 months ago", + "missing_documentation": "The doctor didn't document the face-to-face encounter within 6 months of proof of delivery.", + "review_conclusion": "The review contractor completes the claim as an insufficient documentation error, and the MAC recoups payment.", + "payment_action": "The review contractor completes the claim as an insufficient documentation error, and the MAC recoups payment." + }, + "source_scopes": { + "authorization_requirement_text": { + "group": "requirements", + "chunk_id": "chunk-2", + "source_sha256": "cadcff3f63a5a778d6202dbb1714b06ef62dde0c6922626758a63bce6a795971" + }, + "face_to_face_requirement_text": { + "group": "requirements", + "chunk_id": "chunk-2", + "source_sha256": "cadcff3f63a5a778d6202dbb1714b06ef62dde0c6922626758a63bce6a795971" + }, + "written_order_requirement_text": { + "group": "requirements", + "chunk_id": "chunk-2", + "source_sha256": "cadcff3f63a5a778d6202dbb1714b06ef62dde0c6922626758a63bce6a795971" + }, + "face_to_face_window_text": { + "group": "requirements", + "chunk_id": "chunk-2", + "source_sha256": "19a4544d06404af9e8a66fb0446b572bc8a96330edf46a179f3a28388671dbfa" + }, + "hcpcs_code": { + "group": "submission", + "chunk_id": "chunk-4", + "source_sha256": "9a893928eede6acd46e1f8029609142962206042b4ceb88d901e159e1518e3bf" + }, + "submitted_order": { + "group": "submission", + "chunk_id": "chunk-5", + "source_sha256": "c1865491ea7917e6f48951997f384e73385781a08a63e07eaafd42c4afda2718" + }, + "submitted_medical_record": { + "group": "submission", + "chunk_id": "chunk-6", + "source_sha256": "25ad16851d4271981f91a66ae07a096b13f8d2ea8982523c55cf2ffb6c61c355" + }, + "submitted_proof_of_delivery": { + "group": "submission", + "chunk_id": "chunk-7", + "source_sha256": "02ea6561a2f2593960d9b67bc0c32a73dde6d1ea65bb32c91a77c33169335ed7" + }, + "documented_face_to_face_age": { + "group": "submission", + "chunk_id": "chunk-7", + "source_sha256": "02ea6561a2f2593960d9b67bc0c32a73dde6d1ea65bb32c91a77c33169335ed7" + }, + "missing_documentation": { + "group": "outcome", + "chunk_id": "chunk-9", + "source_sha256": "fb6503169e482f7076387a6f06abf2e86cb4382d03e2190ab67e5d244a3adce2" + }, + "review_conclusion": { + "group": "outcome", + "chunk_id": "chunk-10", + "source_sha256": "0ddc7dda57a2fcbf6b01a6f411888c1fa23404bc6d8a5c8c0f5b3276f025b89d" + }, + "payment_action": { + "group": "outcome", + "chunk_id": "chunk-10", + "source_sha256": "0ddc7dda57a2fcbf6b01a6f411888c1fa23404bc6d8a5c8c0f5b3276f025b89d" + } + } +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/parse.json b/examples/prior-authorization-review-agent/verified-run/raw/parse.json new file mode 100644 index 00000000..458686f2 --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/raw/parse.json @@ -0,0 +1,405 @@ +{ + "entities": [], + "relations": [], + "classifications": [], + "objects": [], + "id": "cms-l1851-published-example", + "data": { + "text": "Lower Limb Orthoses\n\nSource:\n\nhttps://www.cms.gov/training-education/medicare-learning-networkr-mln/compliance/medicare-provider-compliance-tips/lower-limb-orthoses\n\nPage Last Modified: 02/11/2026 04:18 PM\n\nBilling & Coding Criteria\n\nWe require prior authorization, a face-to-face encounter, and written order prior to delivery for HCPCS\n\ncodes L1832 and L1851. Conduct the face-to-face encounter within the 6 months before prescribing the item.\n\nExample of Improper Payments Due to Insufficient Documentation for Lower Limb Orthoses\n\nA supplier bills the claim for L1851 (Knee orthosis (KO), single upright, thigh and calf, with adjustable\n\nflexion and extension joint (unicentric or polycentric), medial-lateral and rotation control, with or without\n\nvarus/valgus adjustment, prefabricated, off-the-shelf) and submits the following documentation per the review\n\ncontractor's request:\n\n- Standard written order with correct HCPCS coding\n- Treating practitioner's medical record that has adequate medical necessity information\n- Proof of delivery with face-to-face encounter 7 months ago\n\nWhat Documentation Was Missing?\n\nThe doctor didn't document the face-to-face encounter within 6 months of proof of delivery.\n\nWhat Happens Next?\n\nThe review contractor completes the claim as an insufficient documentation error, and the MAC recoups\n\npayment.", + "markdown": "# Lower Limb Orthoses\n\nSource:\n\nhttps://www.cms.gov/training-education/medicare-learning-networkr-mln/compliance/medicare-provider-compliance-tips/lower-limb-orthoses\n\nPage Last Modified: 02/11/2026 04:18 PM\n\n## Billing & Coding Criteria\n\nWe require prior authorization, a face-to-face encounter, and written order prior to delivery for HCPCS\n\ncodes L1832 and L1851. Conduct the face-to-face encounter within the 6 months before prescribing the item.\n\n## Example of Improper Payments Due to Insufficient Documentation for Lower Limb Orthoses\n\nA supplier bills the claim for L1851 (Knee orthosis (KO), single upright, thigh and calf, with adjustable\n\nflexion and extension joint (unicentric or polycentric), medial-lateral and rotation control, with or without\n\nvarus/valgus adjustment, prefabricated, off-the-shelf) and submits the following documentation per the review\n\ncontractor's request:\n\n- Standard written order with correct HCPCS coding\n- Treating practitioner's medical record that has adequate medical necessity information\n- Proof of delivery with face-to-face encounter 7 months ago\n\n### What Documentation Was Missing?\n\nThe doctor didn't document the face-to-face encounter within 6 months of proof of delivery.\n\n### What Happens Next?\n\nThe review contractor completes the claim as an insufficient documentation error, and the MAC recoups\n\npayment.", + "document": { + "schema_name": "DoclingDocument", + "version": "1.10.0", + "name": "document", + "origin": { + "mimetype": "text/html", + "binary_hash": 3202530953731100561, + "filename": "document.html" + }, + "furniture": { + "self_ref": "#/furniture", + "children": [], + "content_layer": "furniture", + "name": "_root_", + "label": "unspecified" + }, + "body": { + "self_ref": "#/body", + "children": [ + { + "$ref": "#/texts/0" + }, + { + "$ref": "#/texts/1" + }, + { + "$ref": "#/texts/2" + } + ], + "content_layer": "body", + "name": "_root_", + "label": "unspecified" + }, + "groups": [ + { + "self_ref": "#/groups/0", + "parent": { + "$ref": "#/texts/9" + }, + "children": [ + { + "$ref": "#/texts/14" + }, + { + "$ref": "#/texts/15" + }, + { + "$ref": "#/texts/16" + } + ], + "content_layer": "body", + "name": "list", + "label": "list" + } + ], + "texts": [ + { + "self_ref": "#/texts/0", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "furniture", + "label": "title", + "prov": [], + "orig": "Lower Limb Orthoses | CMS", + "text": "Lower Limb Orthoses | CMS" + }, + { + "self_ref": "#/texts/1", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "furniture", + "label": "text", + "prov": [], + "orig": "Centers for Medicare & Medicaid Services", + "text": "Centers for Medicare & Medicaid Services" + }, + { + "self_ref": "#/texts/2", + "parent": { + "$ref": "#/body" + }, + "children": [ + { + "$ref": "#/texts/3" + }, + { + "$ref": "#/texts/4" + }, + { + "$ref": "#/texts/5" + }, + { + "$ref": "#/texts/6" + }, + { + "$ref": "#/texts/9" + } + ], + "content_layer": "body", + "label": "title", + "prov": [], + "orig": "Lower Limb Orthoses", + "text": "Lower Limb Orthoses" + }, + { + "self_ref": "#/texts/3", + "parent": { + "$ref": "#/texts/2" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "Source:", + "text": "Source:" + }, + { + "self_ref": "#/texts/4", + "parent": { + "$ref": "#/texts/2" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "https://www.cms.gov/training-education/medicare-learning-networkr-mln/compliance/medicare-provider-compliance-tips/lower-limb-orthoses", + "text": "https://www.cms.gov/training-education/medicare-learning-networkr-mln/compliance/medicare-provider-compliance-tips/lower-limb-orthoses" + }, + { + "self_ref": "#/texts/5", + "parent": { + "$ref": "#/texts/2" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "Page Last Modified: 02/11/2026 04:18 PM", + "text": "Page Last Modified: 02/11/2026 04:18 PM" + }, + { + "self_ref": "#/texts/6", + "parent": { + "$ref": "#/texts/2" + }, + "children": [ + { + "$ref": "#/texts/7" + }, + { + "$ref": "#/texts/8" + } + ], + "content_layer": "body", + "label": "section_header", + "prov": [], + "orig": "Billing & Coding Criteria", + "text": "Billing & Coding Criteria", + "level": 1 + }, + { + "self_ref": "#/texts/7", + "parent": { + "$ref": "#/texts/6" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "We require prior authorization, a face-to-face encounter, and written order prior to delivery for HCPCS", + "text": "We require prior authorization, a face-to-face encounter, and written order prior to delivery for HCPCS" + }, + { + "self_ref": "#/texts/8", + "parent": { + "$ref": "#/texts/6" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "codes L1832 and L1851. Conduct the face-to-face encounter within the 6 months before prescribing the item.", + "text": "codes L1832 and L1851. Conduct the face-to-face encounter within the 6 months before prescribing the item." + }, + { + "self_ref": "#/texts/9", + "parent": { + "$ref": "#/texts/2" + }, + "children": [ + { + "$ref": "#/texts/10" + }, + { + "$ref": "#/texts/11" + }, + { + "$ref": "#/texts/12" + }, + { + "$ref": "#/texts/13" + }, + { + "$ref": "#/groups/0" + }, + { + "$ref": "#/texts/17" + }, + { + "$ref": "#/texts/19" + } + ], + "content_layer": "body", + "label": "section_header", + "prov": [], + "orig": "Example of Improper Payments Due to Insufficient Documentation for Lower Limb Orthoses", + "text": "Example of Improper Payments Due to Insufficient Documentation for Lower Limb Orthoses", + "level": 1 + }, + { + "self_ref": "#/texts/10", + "parent": { + "$ref": "#/texts/9" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "A supplier bills the claim for L1851 (Knee orthosis (KO), single upright, thigh and calf, with adjustable", + "text": "A supplier bills the claim for L1851 (Knee orthosis (KO), single upright, thigh and calf, with adjustable" + }, + { + "self_ref": "#/texts/11", + "parent": { + "$ref": "#/texts/9" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "flexion and extension joint (unicentric or polycentric), medial-lateral and rotation control, with or without", + "text": "flexion and extension joint (unicentric or polycentric), medial-lateral and rotation control, with or without" + }, + { + "self_ref": "#/texts/12", + "parent": { + "$ref": "#/texts/9" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "varus/valgus adjustment, prefabricated, off-the-shelf) and submits the following documentation per the review", + "text": "varus/valgus adjustment, prefabricated, off-the-shelf) and submits the following documentation per the review" + }, + { + "self_ref": "#/texts/13", + "parent": { + "$ref": "#/texts/9" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "contractor's request:", + "text": "contractor's request:" + }, + { + "self_ref": "#/texts/14", + "parent": { + "$ref": "#/groups/0" + }, + "children": [], + "content_layer": "body", + "label": "list_item", + "prov": [], + "orig": "Standard written order with correct HCPCS coding", + "text": "Standard written order with correct HCPCS coding", + "enumerated": false, + "marker": "" + }, + { + "self_ref": "#/texts/15", + "parent": { + "$ref": "#/groups/0" + }, + "children": [], + "content_layer": "body", + "label": "list_item", + "prov": [], + "orig": "Treating practitioner\u2019s medical record that has adequate medical necessity information", + "text": "Treating practitioner's medical record that has adequate medical necessity information", + "enumerated": false, + "marker": "" + }, + { + "self_ref": "#/texts/16", + "parent": { + "$ref": "#/groups/0" + }, + "children": [], + "content_layer": "body", + "label": "list_item", + "prov": [], + "orig": "Proof of delivery with face-to-face encounter 7 months ago", + "text": "Proof of delivery with face-to-face encounter 7 months ago", + "enumerated": false, + "marker": "" + }, + { + "self_ref": "#/texts/17", + "parent": { + "$ref": "#/texts/9" + }, + "children": [ + { + "$ref": "#/texts/18" + } + ], + "content_layer": "body", + "label": "section_header", + "prov": [], + "orig": "What Documentation Was Missing?", + "text": "What Documentation Was Missing?", + "level": 2 + }, + { + "self_ref": "#/texts/18", + "parent": { + "$ref": "#/texts/17" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "The doctor didn't document the face-to-face encounter within 6 months of proof of delivery.", + "text": "The doctor didn't document the face-to-face encounter within 6 months of proof of delivery." + }, + { + "self_ref": "#/texts/19", + "parent": { + "$ref": "#/texts/9" + }, + "children": [ + { + "$ref": "#/texts/20" + }, + { + "$ref": "#/texts/21" + } + ], + "content_layer": "body", + "label": "section_header", + "prov": [], + "orig": "What Happens Next?", + "text": "What Happens Next?", + "level": 2 + }, + { + "self_ref": "#/texts/20", + "parent": { + "$ref": "#/texts/19" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "The review contractor completes the claim as an insufficient documentation error, and the MAC recoups", + "text": "The review contractor completes the claim as an insufficient documentation error, and the MAC recoups" + }, + { + "self_ref": "#/texts/21", + "parent": { + "$ref": "#/texts/19" + }, + "children": [], + "content_layer": "body", + "label": "text", + "prov": [], + "orig": "payment.", + "text": "payment." + } + ], + "pictures": [], + "tables": [], + "key_value_items": [], + "form_items": [], + "pages": {} + } + }, + "model": "docling" +} diff --git a/examples/prior-authorization-review-agent/verified-run/raw/rerank.json 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Conduct the face-to-face encounter within the 6 months before prescribing the item.", + "score": 0.5504324904379904 + }, + { + "chunk_id": "chunk-10", + "text": "The review contractor completes the claim as an insufficient documentation error, and the MAC recoups payment.", + "score": 0.5301554025336029 + }, + { + "chunk_id": "chunk-4", + "text": "A supplier bills the claim for L1851 (Knee orthosis (KO), single upright, thigh and calf, with adjustable flexion and extension joint (unicentric or polycentric), medial-lateral and rotation control, with or without varus/valgus adjustment, prefabricated, off-the-shelf) and submits the following documentation per the review contractor's request:", + "score": 0.5096365693845111 + }, + { + "chunk_id": "chunk-0", + "text": "https://www.cms.gov/training-education/medicare-learning-networkr-mln/compliance/medicare-provider-compliance-tips/lower-limb-orthoses Page Last Modified: 02/11/2026 04:18 PM", + "score": 0.4476299516314615 + }, + { + "chunk_id": "chunk-9", + "text": "The doctor didn't document the face-to-face encounter within 6 months of proof of delivery.", + "score": 0.4422977003457754 + }, + { + "chunk_id": "chunk-7", + "text": "- Proof of delivery with face-to-face encounter 7 months ago", + "score": 0.4406839500199507 + }, + { + "chunk_id": "chunk-1", + "text": "## Billing & Coding Criteria", + "score": 0.43659250486605466 + }, + { + "chunk_id": "chunk-5", + "text": "- Standard written order with correct HCPCS coding", + "score": 0.4098438679267088 + }, + { + "chunk_id": "chunk-6", + "text": "- Treating practitioner's medical record that has adequate medical necessity information", + "score": 0.4093260116216656 + } + ] +} diff --git a/examples/prior-authorization-review-agent/verified-run/review.json b/examples/prior-authorization-review-agent/verified-run/review.json new file mode 100644 index 00000000..00cfb496 --- /dev/null +++ b/examples/prior-authorization-review-agent/verified-run/review.json @@ -0,0 +1,96 @@ +{ + "scope": "Reproduction of CMS's published L1851 insufficient-documentation example", + "route": "insufficient_documentation", + "headline": "The face-to-face encounter fell one month outside CMS's six-month window", + "hcpcs_code": "L1851", + "required_face_to_face_within_months": 6, + "documented_face_to_face_age_months": 7, + "overdue_by_months": 1, + "submitted_documentation": { + "order": "Standard written order with correct HCPCS coding", + "medical_record": "Treating practitioner's medical record that has adequate medical necessity information", + "proof_of_delivery": "Proof of delivery with face-to-face encounter 7 months ago" + }, + "missing_documentation": [ + "face-to-face encounter within 6 months of proof of delivery" + ], + "review_conclusion": "insufficient documentation error", + "payment_action": "MAC recoups payment", + "source": { + "publisher": "Centers for Medicare & Medicaid Services", + "title": "Lower Limb Orthoses", + "url": "https://www.cms.gov/training-education/medicare-learning-networkr-mln/compliance/medicare-provider-compliance-tips/lower-limb-orthoses", + "page_last_modified": "2026-02-11" + }, + "ranked_source_evidence": [ + { + "chunk_id": "chunk-10", + "rank": 0, + "score": 0.9765625, + "text": "The review contractor completes the claim as an insufficient documentation error, and the MAC recoups payment." + }, + { + "chunk_id": "chunk-3", + "rank": 1, + "score": 0.8671875, + "text": "## Example of Improper Payments Due to Insufficient Documentation for Lower Limb Orthoses" + }, + { + "chunk_id": "chunk-9", + "rank": 2, + "score": 0.6796875, + "text": "The doctor didn't document the face-to-face encounter within 6 months of proof of delivery." + }, + { + "chunk_id": "chunk-4", + "rank": 3, + "score": 0.65234375, + "text": "A supplier bills the claim for L1851 (Knee orthosis (KO), single upright, thigh and calf, with adjustable flexion and extension joint (unicentric or polycentric), medial-lateral and rotation control, with or without varus/valgus adjustment, prefabricated, off-the-shelf) and submits the following documentation per the review contractor's request:" + }, + { + "chunk_id": "chunk-2", + "rank": 4, + "score": 0.59375, + "text": "We require prior authorization, a face-to-face encounter, and written order prior to delivery for HCPCS codes L1832 and L1851. Conduct the face-to-face encounter within the 6 months before prescribing the item." + }, + { + "chunk_id": "chunk-8", + "rank": 5, + "score": 0.173828125, + "text": "### What Documentation Was Missing?" + }, + { + "chunk_id": "chunk-5", + "rank": 6, + "score": 0.1005859375, + "text": "- Standard written order with correct HCPCS coding" + }, + { + "chunk_id": "chunk-7", + "rank": 7, + "score": 0.0419921875, + "text": "- Proof of delivery with face-to-face encounter 7 months ago" + }, + { + "chunk_id": "chunk-0", + "rank": 8, + "score": 0.004364013671875, + "text": "https://www.cms.gov/training-education/medicare-learning-networkr-mln/compliance/medicare-provider-compliance-tips/lower-limb-orthoses Page Last Modified: 02/11/2026 04:18 PM" + }, + { + "chunk_id": "chunk-1", + "rank": 9, + "score": 0.0023956298828125, + "text": "## Billing & Coding Criteria" + }, + { + "chunk_id": "chunk-6", + "rank": 10, + "score": 0.0012054443359375, + "text": "- Treating practitioner's medical record that has adequate medical necessity information" + } + ], + "published_example": true, + "coverage_decision": null, + "medical_decision": null +}