import Type, { type Static, type TSchema } from "typebox";
import type { TClaimCanonicalizationOutput, TClaimMentionExtractionOutput } from "../../base/stages/index.js";
import type { TIngestionExtension } from "../../base/types.js";
/**
 * What `extract` returns: the canonicalization slot's payload and the
 * mention slot's, in one object. Structural rather than a `Static<>`,
 * because the schema is built per-extension.
 */
export type TScribeExtractOutput = TClaimCanonicalizationOutput & TClaimMentionExtractionOutput;
/**
 * `extract`'s output: the per-extension canonicalization shape, plus the
 * mentions whose quoted text becomes each claim's source anchor.
 *
 * The mentions ride along on the one stage that is given the input text,
 * rather than coming from a stage of their own — scribe's whole point is
 * that there are two LLM calls, and locating a claim in the text is not
 * worth a third. Their item shape is scholar's, so the same finalize
 * resolution reads them without a translation layer.
 *
 * The canonicalization envelope is `additionalProperties: false`, so the
 * widened shape is a distinct schema rather than an extra key on the
 * shared one — and the adapter that republishes the canonicalization slot
 * has to narrow back to it. See `createExtractCanonicalizationAdapterStage`.
 */
export declare function buildExtractOutputSchema(extension: TIngestionExtension): TSchema;
export declare const ScribeStructureOutputSchema: Type.TObject<{
    relations: Type.TArray<Type.TObject<{
        relationId: Type.TString;
        type: Type.TLiteral<"inference">;
        antecedents: Type.TArray<Type.TString>;
        consequent: Type.TString;
        title: Type.TString;
        evidence: Type.TObject<{
            segmentIds: Type.TArray<Type.TString>;
            quote: Type.TString;
        }>;
    }>>;
    conclusionCandidates: Type.TArray<Type.TString>;
    conclusionTitle: Type.TString;
    rationale: Type.TString;
}>;
export type TScribeStructureOutput = Static<typeof ScribeStructureOutputSchema>;
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