cortex reflect

Inspect and consolidate LLM self-assessment reflection patterns. After each turn, CortexPrism performs a meta-cognitive self-evaluation to assess response quality and extract reusable patterns.

Usage

cortex reflect list                  # Show stored reflection patterns
cortex reflect consolidate           # Run LLM meta-pattern extraction

Subcommands

Subcommand	Description
list	Display all stored reflection patterns from past sessions
consolidate	Run LLM-driven meta-pattern extraction across stored reflections

Reflection System

After each agent turn, the system performs:

1. Confidence assessment — LLM self-evaluates response quality
2. Pattern extraction — Identifies recurring themes and behaviors
3. Pattern storage — Saved to reflection_memory table (T5 tier)
4. Consolidation — Batch meta-pattern extraction across stored reflections

Reflection is fire-and-forget — the agent loop does not wait for reflection to complete before returning the response to the user.

Configuration

Reflection can be enabled/disabled in config:

{
  "agent": {
    "enableReflection": true
  }
}

Examples

# View all stored reflection patterns
cortex reflect list

# Run meta-pattern consolidation
cortex reflect consolidate