Amos
9a6af9697f
- teacher/system-prompt.md: teach methodology + quiz/ask guidelines folded in - extensions/: quiz.ts + ask-user-question.ts (hermetic copies) - src/teacher/create-session.ts: isolated agent (noTools builtin, own agentDir/sessions/prompt) - src/schema.ts + ledger.ts: append-only ledgers, known-vs-understood data model - src/extract/normalize.ts: session JSONL -> canonical doc (verified on real session) - extractor/merger/derive/what-next: specified stubs
27 lines
1.2 KiB
TypeScript
27 lines
1.2 KiB
TypeScript
/**
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* Stage 2 — Extract (one LLM pass over the canonical session document).
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* NOT YET IMPLEMENTED. Interface specified so the shape is fixed:
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*
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* Input: CanonicalSessionDocument
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* Output: ExtractedSession (see schema.ts) — nodes, edges, attributed events,
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* per-node knowing on the anchored ordinal rubric.
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*
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* Constraints:
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* - One pass for nodes+edges+events+knowing (they are entangled).
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* - Zero inference about knowledge beyond the evidence: it extracts facts,
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* edges, and evidence — nothing the session doesn't show.
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* - Knowing is mapped onto the anchored rubric (KnowingLevel), never a scalar.
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* - Edges come primarily from the plan's mermaid DAG (already asserted by the
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* teacher); only prose-articulated Connect-step edges need judgment.
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*
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* Followed by an audit pass (extract/audit.ts): a second LLM call verifying the
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* extraction JSON against the session for hallucination/misattribution.
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*/
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import type { CanonicalSessionDocument } from "./normalize.ts";
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import type { ExtractedSession } from "../schema.ts";
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export async function extractSession(doc: CanonicalSessionDocument): Promise<ExtractedSession> {
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throw new Error("Not implemented — Stage 2 (extractor LLM pass) is the next build step.");
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}
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