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Merged
dolfim-ibm merged 2 commits into from
Aug 7, 2025
Merged

feat: workers without shared models and convert params #304

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2d7acf8
update jobkit and deps
dolfim-ibm Aug 7, 2025
f2b1833
expose shared models parameter
dolfim-ibm Aug 7, 2025
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1 change: 1 addition & 0 deletions docling_serve/orchestrator_factory.py
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Expand Up @@ -19,6 +19,7 @@ def get_async_orchestrator() -> BaseOrchestrator:

local_config = LocalOrchestratorConfig(
num_workers=docling_serve_settings.eng_loc_num_workers,
shared_models=docling_serve_settings.eng_loc_share_models,
)

cm_config = DoclingConverterManagerConfig(
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1 change: 1 addition & 0 deletions docling_serve/settings.py
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Expand Up @@ -63,6 +63,7 @@ class DoclingServeSettings(BaseSettings):
eng_kind: AsyncEngine = AsyncEngine.LOCAL
# Local engine
eng_loc_num_workers: int = 2
eng_loc_share_models: bool = False
# KFP engine
eng_kfp_endpoint: Optional[AnyUrl] = None
eng_kfp_token: Optional[str] = None
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1 change: 1 addition & 0 deletions docs/configuration.md
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Expand Up @@ -66,6 +66,7 @@ The following table describes the options to configure the Docling Serve local e
| ENV | Default | Description |
|-----|---------|-------------|
| `DOCLING_SERVE_ENG_LOC_NUM_WORKERS` | 2 | Number of workers/threads processing the incoming tasks. |
| `DOCLING_SERVE_ENG_LOC_SHARE_MODELS` | False | If true, each process will share the same models among all thread workers. Otherwise, one instance of the models is allocated for each worker thread. |

#### KFP engine

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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -35,7 +35,7 @@ requires-python = ">=3.10"
dependencies = [
"docling~=2.38",
"docling-core>=2.44.1",
"docling-jobkit[kfp,vlm]~=1.2",
"docling-jobkit[kfp,vlm]~=1.3",
"fastapi[standard]~=0.115",
"httpx~=0.28",
"pydantic~=2.10",
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