Suya OCR API — vLLM-backed, OpenAI-compatible OCR service

FastAPI service wrapping the Surya-OCR-2 model (datalab-to) served through vLLM:
legacy /v1/api/ai/* endpoints, an OpenAI-compatible /v1/chat/completions endpoint,
a coalescing request batcher, a local OCR CLI, Docker packaging, multilingual
example outputs, and quantization/concurrency benchmarks.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

scripts/quant/aggregate.py

@@ -0,0 +1,59 @@
+"""Summary-row contract and rendering to CSV + markdown."""
+from __future__ import annotations
+
+import csv
+import io
+from typing import Any, Dict, List
+
+SUMMARY_FIELDS = [
+    "method",
+    "status",
+    "t4_deployable",
+    "model_size_mb",
+    "mean_latency_s",
+    "p50_latency_s",
+    "p95_latency_s",
+    "throughput_rps",
+    "decode_tok_s",
+    "mean_cer",
+    "max_cer",
+    "mean_bbox_iou",
+    "mean_missed_lines",
+    "mean_extra_lines",
+    "error",
+]
+
+
+def build_row(**kwargs: Any) -> Dict[str, Any]:
+    unknown = set(kwargs) - set(SUMMARY_FIELDS)
+    if unknown:
+        raise KeyError(f"unknown summary field(s): {sorted(unknown)}")
+    row = {field: None for field in SUMMARY_FIELDS}
+    row.update(kwargs)
+    return row
+
+
+def rows_to_csv(rows: List[Dict[str, Any]]) -> str:
+    buf = io.StringIO()
+    writer = csv.DictWriter(buf, fieldnames=SUMMARY_FIELDS)
+    writer.writeheader()
+    for row in rows:
+        writer.writerow(row)
+    return buf.getvalue()
+
+
+def _fmt(value: Any) -> str:
+    if value is None:
+        return ""
+    if isinstance(value, float):
+        return f"{value:.4f}"
+    return str(value)
+
+
+def rows_to_markdown(rows: List[Dict[str, Any]]) -> str:
+    header = "| " + " | ".join(SUMMARY_FIELDS) + " |"
+    sep = "| " + " | ".join("---" for _ in SUMMARY_FIELDS) + " |"
+    lines = [header, sep]
+    for row in rows:
+        lines.append("| " + " | ".join(_fmt(row[f]) for f in SUMMARY_FIELDS) + " |")
+    return "\n".join(lines)