plur_extract_meta
Transform stored engrams into structured meta-engrams using a 6-stage pipeline (structural analysis, clustering, alignment, formulation, hierarchy). Requires an LLM API endpoint.
Instructions
Extract meta-engrams from stored engrams using the 6-stage pipeline (structural analysis → clustering → alignment → formulation → hierarchy). Requires an LLM API endpoint.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| scope | No | Filter source engrams by scope | |
| domain | No | Filter source engrams by domain prefix | |
| dry_run | No | If true, extract but do not persist meta-engrams (default: false) | |
| llm_model | No | Model name (default: gpt-4o-mini) | |
| llm_api_key | Yes | API key for the LLM | |
| llm_base_url | Yes | OpenAI-compatible API base URL (e.g. https://api.openai.com/v1) | |
| run_validation | No | Whether to run cross-domain validation (default: false) |