AI Satellite

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1.4.1

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Changed

• Add a /ready endpoint for Kubernetes deployments
• Update dependencies and base images

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1.4.0

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Changed

• Treat default column label classifications as custom user-owned labels so they can be edited or deleted

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1.3.2

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Changed

• Improve PHI classification for large individual JSON payloads.

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1.3.1

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Fixed

• Upgrade dependencies causing startup errors

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1.3.0

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New

• Upgrade PHI LLM model to a newer version

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1.2.1

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Fixed

• Fix PHI max output token cap limit errors

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1.2.0

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New

• General availability of stream session analysis for SSH, SSM, and Kubernetes exec sessions

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1.1.1

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Fixed

• Increased the default PHI max output token cap to 32768 to reduce truncation

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1.1.0

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New

• Enable classifications of database columns in conjunction with the data discovery satellite

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1.0.5

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Improved

• Enhanced stability and performance
• Optimized default configuration for production workloads
• Simplified deployment with automatic GPU detection and configuration

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1.0.4

• Minor deployment improvements

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1.0.3

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New

• Updated model to newer version
• vLLM v0.11.0 upgrade
• vLLM Engine 1 Usage
• FP8 cache quantization for performance
• GPU Parallelization Support
• File processing support up to 45KB at a time

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Changed

• Improved stability
• Cache Stabilization
• Prompt shortening + tweaks
• Post-processing enhancements

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1.0.2

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Fixed

• Token length handling fix
• Label recognition improvements

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1.0.1

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New

• Upgraded to 14B Instruct + Different Model Class

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Changed

• Simplified PHI fields
• Removed label normalization

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1.0.0

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New

• 12B parameter model
• Full PHI/PII detection capabilities
• Connector integration