Technical Overview
Detailed descriptive text about the application's utility and enterprise-level benefits.
Technical Specifications
| Parameter | Requirement / Specification |
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Copy this prompt to instruct your AI coding agent (Cursor, Gemini, Claude, etc.) to integrate this module:
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Spin up this module in your private network container environment instantly:
docker run -d --name sentin-ai-parser \
-v /var/data:/app/data \
-p 8000:8000 \
--restart unless-stopped \
aetheralabs/sentin-ai-parser:v1.2.0
Network Security Note:
To run in an air-gapped configuration, mount the local volume containing model weights. The image contains all dependencies. No external connections are requested on setup.
Sovereignty & Architecture Audits
Our source audit confirms that the module does not import telemetry libraries (e.g. Sentry, Segment) or external tracking endpoints. Network sockets are exclusively bound to configured localhost interfaces.
Uses a pre-trained Llama-3 model. Weights can be verified against public SHA256 hashes and loaded completely from local disk storage.
Complies with sovereign compliance rules (GDPR, EU sovereign cloud specifications). Zero metadata is stored outside your designated local volumes.