import type { GraphDeps } from "./deps.js";
export declare function buildRunGraph(deps: GraphDeps): import("@langchain/langgraph").CompiledStateGraph<{
    config: {
        targetUrl: string;
        targetType: "webhook" | "openai";
        personas: string[];
        scenariosPerPersona: number;
        maxTurns: number;
        maxConcurrency: number;
        models: {
            scenario: string;
            persona: string;
            judge: string;
        };
        out: string;
        format: "md" | "html" | "both";
        targetModel?: string | undefined;
        targetApiKey?: string | undefined;
        kbDir?: string | undefined;
    };
    scenarios: import("../types.js").Scenario[];
    transcripts: import("../types.js").Transcript[];
    judgeResults: import("../types.js").JudgeResult[];
    scenario: import("../types.js").Scenario | undefined;
    transcript: import("../types.js").Transcript | undefined;
    rubric: import("../types.js").RubricKey | undefined;
    overallScore: number;
    reportMarkdown: string;
}, {
    config?: {
        targetUrl: string;
        targetType: "webhook" | "openai";
        personas: string[];
        scenariosPerPersona: number;
        maxTurns: number;
        maxConcurrency: number;
        models: {
            scenario: string;
            persona: string;
            judge: string;
        };
        out: string;
        format: "md" | "html" | "both";
        targetModel?: string | undefined;
        targetApiKey?: string | undefined;
        kbDir?: string | undefined;
    } | undefined;
    scenarios?: import("../types.js").Scenario[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario[]> | undefined;
    transcripts?: import("../types.js").Transcript[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript[]> | undefined;
    judgeResults?: import("../types.js").JudgeResult[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").JudgeResult[]> | undefined;
    scenario?: import("../types.js").Scenario | undefined;
    transcript?: import("../types.js").Transcript | undefined;
    rubric?: import("../types.js").RubricKey | undefined;
    overallScore?: number | undefined;
    reportMarkdown?: string | undefined;
}, "judge" | "__start__" | "generate_scenarios" | "simulate" | "gather" | "report", {
    config: {
        (annotation: import("@langchain/langgraph").SingleReducer<{
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        }, {
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        }>): import("@langchain/langgraph").BaseChannel<{
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        }, {
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        } | import("@langchain/langgraph").OverwriteValue<{
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        }>, unknown>;
        (): import("@langchain/langgraph").LastValue<{
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        }>;
        Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
    };
    scenarios: import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario[], import("../types.js").Scenario[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario[]>, unknown>;
    transcripts: import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript[], import("../types.js").Transcript[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript[]>, unknown>;
    judgeResults: import("@langchain/langgraph").BaseChannel<import("../types.js").JudgeResult[], import("../types.js").JudgeResult[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").JudgeResult[]>, unknown>;
    scenario: {
        (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Scenario | undefined, import("../types.js").Scenario | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario | undefined, import("../types.js").Scenario | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario | undefined> | undefined, unknown>;
        (): import("@langchain/langgraph").LastValue<import("../types.js").Scenario | undefined>;
        Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
    };
    transcript: {
        (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Transcript | undefined, import("../types.js").Transcript | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript | undefined, import("../types.js").Transcript | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript | undefined> | undefined, unknown>;
        (): import("@langchain/langgraph").LastValue<import("../types.js").Transcript | undefined>;
        Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
    };
    rubric: {
        (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | import("@langchain/langgraph").OverwriteValue<import("../types.js").RubricKey | undefined> | undefined, unknown>;
        (): import("@langchain/langgraph").LastValue<import("../types.js").RubricKey | undefined>;
        Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
    };
    overallScore: {
        (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>;
    };
    reportMarkdown: {
        (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>;
    };
}, {
    config: {
        (annotation: import("@langchain/langgraph").SingleReducer<{
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        }, {
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        }>): import("@langchain/langgraph").BaseChannel<{
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        }, {
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        } | import("@langchain/langgraph").OverwriteValue<{
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        }>, unknown>;
        (): import("@langchain/langgraph").LastValue<{
            targetUrl: string;
            targetType: "webhook" | "openai";
            personas: string[];
            scenariosPerPersona: number;
            maxTurns: number;
            maxConcurrency: number;
            models: {
                scenario: string;
                persona: string;
                judge: string;
            };
            out: string;
            format: "md" | "html" | "both";
            targetModel?: string | undefined;
            targetApiKey?: string | undefined;
            kbDir?: string | undefined;
        }>;
        Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
    };
    scenarios: import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario[], import("../types.js").Scenario[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario[]>, unknown>;
    transcripts: import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript[], import("../types.js").Transcript[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript[]>, unknown>;
    judgeResults: import("@langchain/langgraph").BaseChannel<import("../types.js").JudgeResult[], import("../types.js").JudgeResult[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").JudgeResult[]>, unknown>;
    scenario: {
        (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Scenario | undefined, import("../types.js").Scenario | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario | undefined, import("../types.js").Scenario | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario | undefined> | undefined, unknown>;
        (): import("@langchain/langgraph").LastValue<import("../types.js").Scenario | undefined>;
        Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
    };
    transcript: {
        (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Transcript | undefined, import("../types.js").Transcript | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript | undefined, import("../types.js").Transcript | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript | undefined> | undefined, unknown>;
        (): import("@langchain/langgraph").LastValue<import("../types.js").Transcript | undefined>;
        Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
    };
    rubric: {
        (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | import("@langchain/langgraph").OverwriteValue<import("../types.js").RubricKey | undefined> | undefined, unknown>;
        (): import("@langchain/langgraph").LastValue<import("../types.js").RubricKey | undefined>;
        Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
    };
    overallScore: {
        (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>;
    };
    reportMarkdown: {
        (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>;
    };
}, import("@langchain/langgraph").StateDefinition, {
    generate_scenarios: Partial<import("@langchain/langgraph").StateType<{
        config: {
            (annotation: import("@langchain/langgraph").SingleReducer<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }, {
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>): import("@langchain/langgraph").BaseChannel<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }, {
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            } | import("@langchain/langgraph").OverwriteValue<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>, unknown>;
            (): import("@langchain/langgraph").LastValue<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        scenarios: import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario[], import("../types.js").Scenario[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario[]>, unknown>;
        transcripts: import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript[], import("../types.js").Transcript[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript[]>, unknown>;
        judgeResults: import("@langchain/langgraph").BaseChannel<import("../types.js").JudgeResult[], import("../types.js").JudgeResult[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").JudgeResult[]>, unknown>;
        scenario: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Scenario | undefined, import("../types.js").Scenario | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario | undefined, import("../types.js").Scenario | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").Scenario | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        transcript: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Transcript | undefined, import("../types.js").Transcript | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript | undefined, import("../types.js").Transcript | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").Transcript | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        rubric: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | import("@langchain/langgraph").OverwriteValue<import("../types.js").RubricKey | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").RubricKey | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        overallScore: {
            (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>;
        };
        reportMarkdown: {
            (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>;
        };
    }>>;
    simulate: Partial<import("@langchain/langgraph").StateType<{
        config: {
            (annotation: import("@langchain/langgraph").SingleReducer<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }, {
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>): import("@langchain/langgraph").BaseChannel<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }, {
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            } | import("@langchain/langgraph").OverwriteValue<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>, unknown>;
            (): import("@langchain/langgraph").LastValue<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        scenarios: import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario[], import("../types.js").Scenario[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario[]>, unknown>;
        transcripts: import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript[], import("../types.js").Transcript[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript[]>, unknown>;
        judgeResults: import("@langchain/langgraph").BaseChannel<import("../types.js").JudgeResult[], import("../types.js").JudgeResult[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").JudgeResult[]>, unknown>;
        scenario: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Scenario | undefined, import("../types.js").Scenario | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario | undefined, import("../types.js").Scenario | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").Scenario | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        transcript: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Transcript | undefined, import("../types.js").Transcript | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript | undefined, import("../types.js").Transcript | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").Transcript | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        rubric: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | import("@langchain/langgraph").OverwriteValue<import("../types.js").RubricKey | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").RubricKey | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        overallScore: {
            (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>;
        };
        reportMarkdown: {
            (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>;
        };
    }>>;
    gather: {};
    judge: Partial<import("@langchain/langgraph").StateType<{
        config: {
            (annotation: import("@langchain/langgraph").SingleReducer<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }, {
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>): import("@langchain/langgraph").BaseChannel<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }, {
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            } | import("@langchain/langgraph").OverwriteValue<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>, unknown>;
            (): import("@langchain/langgraph").LastValue<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        scenarios: import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario[], import("../types.js").Scenario[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario[]>, unknown>;
        transcripts: import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript[], import("../types.js").Transcript[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript[]>, unknown>;
        judgeResults: import("@langchain/langgraph").BaseChannel<import("../types.js").JudgeResult[], import("../types.js").JudgeResult[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").JudgeResult[]>, unknown>;
        scenario: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Scenario | undefined, import("../types.js").Scenario | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario | undefined, import("../types.js").Scenario | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").Scenario | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        transcript: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Transcript | undefined, import("../types.js").Transcript | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript | undefined, import("../types.js").Transcript | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").Transcript | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        rubric: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | import("@langchain/langgraph").OverwriteValue<import("../types.js").RubricKey | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").RubricKey | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        overallScore: {
            (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>;
        };
        reportMarkdown: {
            (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>;
        };
    }>>;
    report: Partial<import("@langchain/langgraph").StateType<{
        config: {
            (annotation: import("@langchain/langgraph").SingleReducer<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }, {
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>): import("@langchain/langgraph").BaseChannel<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }, {
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            } | import("@langchain/langgraph").OverwriteValue<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>, unknown>;
            (): import("@langchain/langgraph").LastValue<{
                targetUrl: string;
                targetType: "webhook" | "openai";
                personas: string[];
                scenariosPerPersona: number;
                maxTurns: number;
                maxConcurrency: number;
                models: {
                    scenario: string;
                    persona: string;
                    judge: string;
                };
                out: string;
                format: "md" | "html" | "both";
                targetModel?: string | undefined;
                targetApiKey?: string | undefined;
                kbDir?: string | undefined;
            }>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        scenarios: import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario[], import("../types.js").Scenario[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario[]>, unknown>;
        transcripts: import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript[], import("../types.js").Transcript[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript[]>, unknown>;
        judgeResults: import("@langchain/langgraph").BaseChannel<import("../types.js").JudgeResult[], import("../types.js").JudgeResult[] | import("@langchain/langgraph").OverwriteValue<import("../types.js").JudgeResult[]>, unknown>;
        scenario: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Scenario | undefined, import("../types.js").Scenario | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Scenario | undefined, import("../types.js").Scenario | import("@langchain/langgraph").OverwriteValue<import("../types.js").Scenario | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").Scenario | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        transcript: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").Transcript | undefined, import("../types.js").Transcript | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").Transcript | undefined, import("../types.js").Transcript | import("@langchain/langgraph").OverwriteValue<import("../types.js").Transcript | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").Transcript | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        rubric: {
            (annotation: import("@langchain/langgraph").SingleReducer<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | undefined>): import("@langchain/langgraph").BaseChannel<import("../types.js").RubricKey | undefined, import("../types.js").RubricKey | import("@langchain/langgraph").OverwriteValue<import("../types.js").RubricKey | undefined> | undefined, unknown>;
            (): import("@langchain/langgraph").LastValue<import("../types.js").RubricKey | undefined>;
            Root: <S extends import("@langchain/langgraph").StateDefinition>(sd: S) => import("@langchain/langgraph").AnnotationRoot<S>;
        };
        overallScore: {
            (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>;
        };
        reportMarkdown: {
            (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>;
        };
    }>>;
}, unknown, unknown, []>;