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SIBYL

Sibylline Strategy Router for LLM Interaction.

SIBYL is a classifier-and-strategy-lookup service for LLM interaction. It reads an incoming user request, consults a panel of lightweight language models ("the jury"), scores their disagreement as a tension metric, and returns ranked interaction strategies — prompt templates, model+prompt combos, or full multi-stage pipelines — drawn from a research-authored dataset.

The strategy dataset is built offline by the convergence-investigation research methodology over a corpus of published system prompts, jailbreak archives, and red-team literature. Misses — requests the classifier cannot confidently place — are logged as coverage gaps and become the input to the next convergence re-investigation.

Status

Design specification committed. Implementation not yet started.

See docs/design.md for the full design document — architecture, data model, classifier formula, HF dataset layout, rollout phases, and open mutables.

Core ideas

Concept Source
S-class taxonomy convergence-investigation (WFGY S-class vocabulary)
Tension scoring (0.00–1.00, 4-tier) convergence-investigation (bridge-figures.md)
Self-jury classifier Novel (this repo)
Strategy DB format Novel (discriminated union of prompt_only | combo | pipeline)
Multi-model parallel race primitive G0DM0D3 (raceModels)

Relationship to adjacent projects

  • convergence-investigation) — the offline research pipeline that populates SIBYL's strategy dataset. SIBYL is a consumer of convergence's output format and a producer of miss-logs that drive subsequent convergence runs.
  • G0DM0D3 — the host application SIBYL integrates into. G0DM0D3 provides the multi-model race infrastructure, HF dataset read/write plumbing, and telemetry pipeline SIBYL reuses.
  • L1B3RT4S / CL4R1T4S — source corpora for the initial convergence bootstrap investigation.

Rollout

Version Scope Ship point
v0.1 Classifier primitive + /api/analyze route + miss-log Classification works against empty strategy DB
v0.2 Convergence bootstrap → HF dataset populated /api/analyze returns real strategies
v0.3 Settings-gated advisory UI in G0DM0D3 Power users see live classification in chat surface
v1.0 Public release, research paper, community PR template First tagged release
v2.0 Auto-routing, scheduled re-investigation, parseltongue integration Out of scope for this spec

License

MIT — see LICENSE.

Acknowledgements

  • WFGY theoretical framework for tension-scoring and semantic-entropy concepts
  • Convergence Investigation methodology and PRAXIS reasoning protocol
  • G0DM0D3 for the liberated-AI research substrate this tool plugs into

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