Sync DeepSeek OCR HF job code

ds_batch_ocr/cli.py

@@ -78,6 +78,43 @@ def getenv_int(name: str, default: int) -> int:
         return default
 
 
+def _token_margin_for_stage(stage: str, default: int = 512) -> int:
+    stage_key = f"{stage.upper()}_TOKEN_MARGIN"
+    value = os.environ.get(stage_key) or os.environ.get("PIPELINE_TOKEN_MARGIN")
+    if value is None:
+        return default
+    try:
+        parsed = int(value)
+        if parsed < 0:
+            raise ValueError
+        return parsed
+    except ValueError:
+        LOGGER.warning(
+            "Invalid token margin for %s=%s. Using default=%s",
+            stage_key,
+            value,
+            default,
+        )
+        return default
+
+
+def safe_max_tokens(desired: int, stage: str) -> int:
+    max_context = getenv_int("MAX_MODEL_LEN", 4096)
+    margin = _token_margin_for_stage(stage)
+    allowed = max(1, max_context - margin)
+    clamped = min(desired, allowed)
+    if clamped < desired:
+        LOGGER.info(
+            "Clamping %s max tokens from %s to %s to respect context window (MAX_MODEL_LEN=%s, margin=%s)",
+            stage,
+            desired,
+            clamped,
+            max_context,
+            margin,
+        )
+    return clamped
+
+
 def main(argv: Optional[Sequence[str]] = None) -> None:
     configure_logging()
     bootstrap()  # Ensure dependencies are installed and available.
@@ -126,7 +163,8 @@ def main(argv: Optional[Sequence[str]] = None) -> None:
                 or os.environ.get("STAGE1_OUTPUT_DIR")
                 or os.environ.get("OUTPUT_DIR", "./outputs/stage1")
             )
-            doc_max_tokens = args.doc_max_tokens or getenv_int("DOC_MAX_TOKENS", 2048)
+            doc_max_tokens_requested = args.doc_max_tokens or getenv_int("DOC_MAX_TOKENS", 2048)
+            doc_max_tokens = safe_max_tokens(doc_max_tokens_requested, stage="extract")
             doc_temperature = (
                 args.doc_temperature
                 if args.doc_temperature is not None
@@ -177,9 +215,12 @@ def main(argv: Optional[Sequence[str]] = None) -> None:
                 "FIGURE_PROMPT",
                 "<image>\nDescribe this image in detail",
             )
-            figure_max_tokens = (
+            figure_max_tokens_requested = (
                 args.figure_max_tokens or getenv_int("FIGURE_MAX_TOKENS", 512)
             )
+            figure_max_tokens = safe_max_tokens(
+                figure_max_tokens_requested, stage="describe"
+            )
             figure_temperature = (
                 args.figure_temperature
                 if args.figure_temperature is not None