Context Stabilizer Plugin

A LangBot plugin that validates and manages conversation context using an audit model.

Features

Context Auditing: Uses a secondary LLM model (Model B) to audit conversation context
Steganography Detection: Detects hidden characters and zero-width characters that may indicate injection attacks
Context Compression: Automatically compresses long context while preserving key information
Prompt Injection Protection: Injects original system prompt reminder after compression
Adaptive Audit Frequency: Automatically adjusts audit frequency based on audit results
Configurable Frequency: Set how often to audit (every N conversation rounds)
Timeout Protection: Prevents auditing from blocking the main conversation flow

Config	Description	Default
audit_model_uuid	The LLM model used for auditing	Required
audit_system_prompt	System prompt for the audit model	Built-in

Config	Description	Default
audit_frequency	Rounds between audits	3
enable_adaptive_frequency	Auto-adjust frequency based on results	false
frequency_increase_step	Frequency increase step on failure	1
frequency_recovery_threshold	Passes needed before decreasing frequency	3
min_audit_frequency	Minimum interval (highest frequency)	1

Config	Description	Default
audit_timeout_seconds	Audit timeout in seconds	10
timeout_action	Action on timeout (remove_chunk/compress_all)	remove_chunk

Config	Description	Default
max_context_length	Max messages before compression	50
compress_target_length	Target messages after compression	10
compression_model_uuid	Model for compression (empty = use audit model)	-
compression_prompt	Prompt for context summarization	Built-in
enable_prompt_injection	Inject original prompt after compression	true

Config	Description	Default
enable_steganography_detection	Enable hidden character detection	true
steganography_patterns	Regex patterns for detection	Built-in

Config	Description	Default
chunk_size	Messages per audit chunk	5
enable_logging	Enable detailed logging	false

Command	Description
`!ctxstab status`	View current session audit status
`!ctxstab audit`	Force audit on next message
`!ctxstab compress`	Force compression on next message
`!ctxstab reset`	Reset audit counter
`!ctxstab config`	View current configuration

Event Listening: Listens to PromptPreProcessing event to get conversation context
Frequency Check: Decides whether to audit based on configured frequency
Steganography Detection: Detects zero-width and hidden characters in context
Context Splitting: Splits context into chunks for auditing
Model Auditing: Uses audit model to check if chunks comply with original settings
Result Processing: Compresses or removes problematic context based on audit results
Adaptive Frequency: Adjusts audit frequency based on pass/fail results (if enabled)

MIT