/**
 * Inference layer shared by typebulb.com and the CLI (TB-Inference.md): the prompt template,
 * the LLM-output JSON sanitizer, and the `#tb=` result encoding. Single-sourced here so the two
 * surfaces may differ in UX but never in what is sent, how output is repaired, or how a result
 * is encoded for sharing.
 */
export interface InferenceScriptContent {
    /** Inference instructions (markdown) */
    infer?: string;
    /** Example insight output (JSON string) */
    insight?: string;
    /** Script code that will consume the output */
    code?: string;
}
/**
 * Build the inference prompt from script content and data
 */
export declare function buildInferencePrompt(script: InferenceScriptContent, data: string[]): string;
export interface SanitizeResult {
    parsed: unknown | null;
    json: string;
    fixesApplied: string[];
}
/**
 * Attempt to parse JSON, applying conservative fixes for common LLM errors
 */
export declare function sanitizeJsonOutput(content: string): SanitizeResult;
/** The result of an inference run: the AI's insight plus the data it analyzed */
export interface InferenceResult {
    insight: unknown;
    insightJson: string;
    data: string[];
}
/** Encode result to URL hash. Returns "#tb=1:..." or empty string if too large. */
export declare function encodeToHash(result: InferenceResult): string;
/** Decode result from URL hash. Returns null if no result or decode fails. */
export declare function decodeFromHash(hash: string): InferenceResult | null;
/** Check if hash contains a tb= fragment (for error detection) */
export declare function hashContainsTb(hash: string): boolean;
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