Bridging Presidio And Spacy
Combine OpenMed clinical NLP with Microsoft Presidio, spaCy, or LangChain through...
Install
npx skills add maziyarpanahi/openmed --skill bridging-presidio-and-spacy -g -a claude-code -y- Repository
- maziyarpanahi/openmed5.8k
- Category
- Engineering
- Updated
- 4d ago
- License
- Apache-2.0
- Context cost
- Mediumabout 1,963 tokens
- Runs scripts
- No, instructions only
What it does
Combine OpenMed clinical NLP with Microsoft Presidio, spaCy, or LangChain through OpenMed's built-in interop adapter registry (openmed.interop). Covers the lazy adapter registry (available_adapters, get_adapter, adapter_spec), the presidio/spacy/langchain pip extras, and the verified callables, Presidio to_canonical/from_canonical/merge_with_openmed, the spaCy openmed_deid pipeline factory, and the LangChain create_redaction_runnable. Use when the user wants to add Presidio recognizers, embed OpenMed PII detection in a spaCy pipeline, or use OpenMed de-identification as a LangChain runnable. Pairs adjacent to the OpenMed PII skills.
Bridging Presidio, spaCy & LangChain
OpenMed interoperates with the dominant PII/NLP ecosystems through a single,
lazy adapter registry: openmed.interop. Adapters live behind explicit
imports, so importing openmed never drags in Presidio, spaCy, or LangChain, each is an optional extra you install only when you need that bridge.
When to use
Reach for a bridge when:
- you already run Microsoft Presidio and want OpenMed's clinical PII recall on top (or to feed OpenMed spans back into Presidio's anonymizer);
- you have a spaCy pipeline and want OpenMed PII spans on the
Doc; - you build LangChain chains and want to redact PHI before text reaches an LLM (the on-device guardrail in front of a cloud model);
- you need OpenMed's de-identification reachable from an existing framework
instead of rewriting the pipeline around
openmed.deidentify.
The lazy adapter registry (verified)
import openmed.interop as interop
interop.available_adapters()
# ('cda', 'hl7v2', 'langchain', 'presidio', 'spacy')
spec = interop.adapter_spec("presidio")
# AdapterSpec(name='presidio', module='openmed.interop.presidio',
# extra='presidio', description='Presidio RecognizerResult adapter')
mod = interop.get_adapter("presidio") # imports openmed.interop.presidio
# Attribute access also works lazily:
openmed.interop.presidio # same module, imported on first touch
available_adapters() and adapter_spec() never import the adapter module, so
they are safe to call for discovery even without the extra installed.
get_adapter(name) (and attribute access) triggers the import, and the
adapter's own optional dependency.
Install only the extra you need:
