Stand up OpenMed's FastAPI REST service for clinical NER, PII extraction, and de-identification, with health checks, model keep-alive/unload, optional dynamic batching, and no-PHI logging. Use when the user wants to serve OpenMed over HTTP, deploy a de-id/NER REST API, run an inference endpoint for clinical text, add a /analyze or /pii/deidentify route, or containerize OpenMed as a service. Covers the service extra, launching create_app with uvicorn, the real endpoints (/health, /analyze, /pii/extract, /pii/deidentify, /models/loaded, /models/unload), request/response shapes, ServiceRuntime env-var configuration, and self-hosted auth/CORS/TLS notes.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required runtime workflow is an HTTP FastAPI service where the LLM-relevant “free text” is the caller-supplied JSON field `text` in `/analyze`, `/pii/extract`, and `/pii/deidentify`; this could be outsider-authored content delivered over the network, so the agent must ingest it into the service/model pipeline via request bodies.
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