import { z } from 'zod';
export declare const LlmDataQualitySchema: z.ZodEnum<["actual", "estimated", "mixed", "none"]>;
export declare const LlmOperationTypeSchema: z.ZodEnum<["scenario-generation"]>;
export declare const LlmUsageRecordSchema: z.ZodObject<{
    provider: z.ZodString;
    model: z.ZodString;
    inputTokens: z.ZodNumber;
    outputTokens: z.ZodNumber;
    estimatedCostUsd: z.ZodOptional<z.ZodNumber>;
    operationType: z.ZodEnum<["scenario-generation"]>;
    timestamp: z.ZodString;
    promptHash: z.ZodOptional<z.ZodString>;
    resultHash: z.ZodOptional<z.ZodString>;
    dataQuality: z.ZodEnum<["actual", "estimated", "mixed", "none"]>;
    notes: z.ZodOptional<z.ZodString>;
}, "strip", z.ZodTypeAny, {
    provider: string;
    model: string;
    inputTokens: number;
    outputTokens: number;
    operationType: "scenario-generation";
    timestamp: string;
    dataQuality: "none" | "actual" | "estimated" | "mixed";
    estimatedCostUsd?: number | undefined;
    promptHash?: string | undefined;
    resultHash?: string | undefined;
    notes?: string | undefined;
}, {
    provider: string;
    model: string;
    inputTokens: number;
    outputTokens: number;
    operationType: "scenario-generation";
    timestamp: string;
    dataQuality: "none" | "actual" | "estimated" | "mixed";
    estimatedCostUsd?: number | undefined;
    promptHash?: string | undefined;
    resultHash?: string | undefined;
    notes?: string | undefined;
}>;
export declare const RepeatedAiPatternSchema: z.ZodObject<{
    promptHash: z.ZodString;
    count: z.ZodNumber;
    recommendation: z.ZodString;
}, "strip", z.ZodTypeAny, {
    recommendation: string;
    promptHash: string;
    count: number;
}, {
    recommendation: string;
    promptHash: string;
    count: number;
}>;
export declare const DeterministicMaturitySchema: z.ZodObject<{
    level: z.ZodNumber;
    label: z.ZodString;
    rationale: z.ZodString;
    ceilingNote: z.ZodOptional<z.ZodString>;
}, "strip", z.ZodTypeAny, {
    label: string;
    level: number;
    rationale: string;
    ceilingNote?: string | undefined;
}, {
    label: string;
    level: number;
    rationale: string;
    ceilingNote?: string | undefined;
}>;
export declare const CostIntelligenceSchema: z.ZodObject<{
    maxOutputTokensPerLlmCall: z.ZodNumber;
    budgetRole: z.ZodLiteral<"max-output-tokens-per-llm-call">;
    records: z.ZodArray<z.ZodObject<{
        provider: z.ZodString;
        model: z.ZodString;
        inputTokens: z.ZodNumber;
        outputTokens: z.ZodNumber;
        estimatedCostUsd: z.ZodOptional<z.ZodNumber>;
        operationType: z.ZodEnum<["scenario-generation"]>;
        timestamp: z.ZodString;
        promptHash: z.ZodOptional<z.ZodString>;
        resultHash: z.ZodOptional<z.ZodString>;
        dataQuality: z.ZodEnum<["actual", "estimated", "mixed", "none"]>;
        notes: z.ZodOptional<z.ZodString>;
    }, "strip", z.ZodTypeAny, {
        provider: string;
        model: string;
        inputTokens: number;
        outputTokens: number;
        operationType: "scenario-generation";
        timestamp: string;
        dataQuality: "none" | "actual" | "estimated" | "mixed";
        estimatedCostUsd?: number | undefined;
        promptHash?: string | undefined;
        resultHash?: string | undefined;
        notes?: string | undefined;
    }, {
        provider: string;
        model: string;
        inputTokens: number;
        outputTokens: number;
        operationType: "scenario-generation";
        timestamp: string;
        dataQuality: "none" | "actual" | "estimated" | "mixed";
        estimatedCostUsd?: number | undefined;
        promptHash?: string | undefined;
        resultHash?: string | undefined;
        notes?: string | undefined;
    }>, "many">;
    budgetWarnings: z.ZodArray<z.ZodString, "many">;
    usageSummary: z.ZodObject<{
        totalInputTokens: z.ZodNumber;
        totalOutputTokens: z.ZodNumber;
        dataQuality: z.ZodEnum<["actual", "estimated", "mixed", "none"]>;
    }, "strip", z.ZodTypeAny, {
        dataQuality: "none" | "actual" | "estimated" | "mixed";
        totalInputTokens: number;
        totalOutputTokens: number;
    }, {
        dataQuality: "none" | "actual" | "estimated" | "mixed";
        totalInputTokens: number;
        totalOutputTokens: number;
    }>;
    repeatedOperations: z.ZodArray<z.ZodObject<{
        promptHash: z.ZodString;
        count: z.ZodNumber;
        recommendation: z.ZodString;
    }, "strip", z.ZodTypeAny, {
        recommendation: string;
        promptHash: string;
        count: number;
    }, {
        recommendation: string;
        promptHash: string;
        count: number;
    }>, "many">;
    deterministicMaturity: z.ZodObject<{
        level: z.ZodNumber;
        label: z.ZodString;
        rationale: z.ZodString;
        ceilingNote: z.ZodOptional<z.ZodString>;
    }, "strip", z.ZodTypeAny, {
        label: string;
        level: number;
        rationale: string;
        ceilingNote?: string | undefined;
    }, {
        label: string;
        level: number;
        rationale: string;
        ceilingNote?: string | undefined;
    }>;
    conversionRecommendations: z.ZodArray<z.ZodString, "many">;
}, "strip", z.ZodTypeAny, {
    maxOutputTokensPerLlmCall: number;
    budgetRole: "max-output-tokens-per-llm-call";
    records: {
        provider: string;
        model: string;
        inputTokens: number;
        outputTokens: number;
        operationType: "scenario-generation";
        timestamp: string;
        dataQuality: "none" | "actual" | "estimated" | "mixed";
        estimatedCostUsd?: number | undefined;
        promptHash?: string | undefined;
        resultHash?: string | undefined;
        notes?: string | undefined;
    }[];
    budgetWarnings: string[];
    usageSummary: {
        dataQuality: "none" | "actual" | "estimated" | "mixed";
        totalInputTokens: number;
        totalOutputTokens: number;
    };
    repeatedOperations: {
        recommendation: string;
        promptHash: string;
        count: number;
    }[];
    deterministicMaturity: {
        label: string;
        level: number;
        rationale: string;
        ceilingNote?: string | undefined;
    };
    conversionRecommendations: string[];
}, {
    maxOutputTokensPerLlmCall: number;
    budgetRole: "max-output-tokens-per-llm-call";
    records: {
        provider: string;
        model: string;
        inputTokens: number;
        outputTokens: number;
        operationType: "scenario-generation";
        timestamp: string;
        dataQuality: "none" | "actual" | "estimated" | "mixed";
        estimatedCostUsd?: number | undefined;
        promptHash?: string | undefined;
        resultHash?: string | undefined;
        notes?: string | undefined;
    }[];
    budgetWarnings: string[];
    usageSummary: {
        dataQuality: "none" | "actual" | "estimated" | "mixed";
        totalInputTokens: number;
        totalOutputTokens: number;
    };
    repeatedOperations: {
        recommendation: string;
        promptHash: string;
        count: number;
    }[];
    deterministicMaturity: {
        label: string;
        level: number;
        rationale: string;
        ceilingNote?: string | undefined;
    };
    conversionRecommendations: string[];
}>;
export type LlmDataQuality = z.infer<typeof LlmDataQualitySchema>;
export type LlmOperationType = z.infer<typeof LlmOperationTypeSchema>;
export type LlmUsageRecord = z.infer<typeof LlmUsageRecordSchema>;
export type RepeatedAiPattern = z.infer<typeof RepeatedAiPatternSchema>;
export type DeterministicMaturity = z.infer<typeof DeterministicMaturitySchema>;
export type CostIntelligence = z.infer<typeof CostIntelligenceSchema>;
//# sourceMappingURL=cost-intelligence.schema.d.ts.map