import { Community } from "../../../foundations/community/entities/community.entity";
import { CallerAttributionState } from "../../common/usage-attribution";
export interface FollowUpAnswer {
    question: string;
    answer: string;
    depth: number;
    additionalQuestions: string[];
    shouldContinue: boolean;
}
export declare const DriftContext: import("@langchain/langgraph").AnnotationRoot<{
    question: {
        (annotation: import("@langchain/langgraph").SingleReducer<string, string>): import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
        (): import("@langchain/langgraph").LastValue<string>;
        Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
    };
    topK: import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
    maxDepth: import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
    /** Ledger category of the CALLING agent, e.g. `TokenUsageType.Responder`. */
    tokenUsageType: import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
    /** Id of the caller's scope-root node. Absent = the caller ran unscoped. */
    scopeId: import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
    /** JSON:API type of the caller's scope root, e.g. "campaigns". */
    scopeType: import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
    /** Neo4j label of the caller's scope root, e.g. "Campaign". */
    scopeLabel: import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
    /** Id of the caller's `Assistant` (thread) node — the unscoped fallback. */
    assistantId: import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
    nextStep: import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
    hops: import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
    hypotheticalAnswer: import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
    hydeEmbedding: import("@langchain/langgraph").BaseChannel<number[], number[] | import("@langchain/langgraph").OverwriteValue<number[]>, unknown>;
    matchedCommunities: import("@langchain/langgraph").BaseChannel<Community[], Community[] | import("@langchain/langgraph").OverwriteValue<Community[]>, unknown>;
    communitySummaries: import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
    initialAnswer: import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
    followUpQuestions: import("@langchain/langgraph").BaseChannel<string[], string[] | import("@langchain/langgraph").OverwriteValue<string[]>, unknown>;
    confidence: import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
    currentFollowUpIndex: import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
    currentDepth: import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
    followUpAnswers: import("@langchain/langgraph").BaseChannel<FollowUpAnswer[], FollowUpAnswer[] | import("@langchain/langgraph").OverwriteValue<FollowUpAnswer[]>, unknown>;
    priorContext: import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
    finalAnswer: import("@langchain/langgraph").BaseChannel<string, string | import("@langchain/langgraph").OverwriteValue<string>, unknown>;
    tokens: import("@langchain/langgraph").BaseChannel<import("@langchain/langgraph").StateType<{
        input: {
            (annotation: import("@langchain/langgraph").SingleReducer<number, number>): import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
            (): import("@langchain/langgraph").LastValue<number>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        output: {
            (annotation: import("@langchain/langgraph").SingleReducer<number, number>): import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
            (): import("@langchain/langgraph").LastValue<number>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
    }>, import("@langchain/langgraph").StateType<{
        input: {
            (annotation: import("@langchain/langgraph").SingleReducer<number, number>): import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
            (): import("@langchain/langgraph").LastValue<number>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        output: {
            (annotation: import("@langchain/langgraph").SingleReducer<number, number>): import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
            (): import("@langchain/langgraph").LastValue<number>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
    }> | import("@langchain/langgraph").OverwriteValue<import("@langchain/langgraph").StateType<{
        input: {
            (annotation: import("@langchain/langgraph").SingleReducer<number, number>): import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
            (): import("@langchain/langgraph").LastValue<number>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        output: {
            (annotation: import("@langchain/langgraph").SingleReducer<number, number>): import("@langchain/langgraph").BaseChannel<number, number | import("@langchain/langgraph").OverwriteValue<number>, unknown>;
            (): import("@langchain/langgraph").LastValue<number>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
    }>>, unknown>;
}>;
/**
 * LangGraph's `StateType` makes EVERY channel a required property, so adding a
 * channel to the root above would add a required key to this PUBLISHED type
 * (`DriftContextState` is exported from `agents/index.ts`) and break any
 * consumer that builds a state literal. The attribution channels are therefore
 * re-declared through {@link CallerAttributionState}, where they are optional —
 * the state still carries them, existing literals still compile.
 *
 * {@link DriftGraphState} is the un-widened shape LangGraph itself hands to a
 * node callback; the graph wiring uses it so the callback signatures still
 * match `StateGraph`'s required-property view.
 */
export type DriftGraphState = typeof DriftContext.State;
export type DriftContextState = Omit<DriftGraphState, keyof CallerAttributionState> & CallerAttributionState;
//# sourceMappingURL=drift.context.d.ts.map