/**
 * manifest gen-tests command
 *
 * Analyzes existing .manifest source and uses an LLM to generate additional
 * conformance fixture scenarios covering edge cases, boundary conditions,
 * and adversarial inputs. Generated fixtures are saved to the conformance
 * directory and must pass the existing test runner before being accepted.
 *
 * Usage:
 *   manifest gen-tests [source]
 *   manifest gen-tests --feature "computed properties with edge cases"
 *   manifest gen-tests --count 5 --category edge-cases
 */
export interface GenTestsOptions {
    /** Source .manifest file, directory, or glob pattern */
    source?: string;
    /** Output directory for generated fixtures */
    output?: string;
    /** Custom feature description for test generation */
    feature?: string;
    /** Test category: edge-cases, boundary, adversarial, coverage */
    category?: 'edge-cases' | 'boundary' | 'adversarial' | 'coverage';
    /** Number of test fixtures to generate */
    count?: number;
    /** Model to use for generation */
    model?: string;
    /** Maximum retry attempts for validation failures */
    maxRetries?: number;
    /** Include iteration details in output */
    verbose?: boolean;
    /** API key for Anthropic (default: ANTHROPIC_API_KEY env var) */
    apiKey?: string;
    /** Temperature for LLM generation */
    temperature?: number;
    /** Dry run - don't write files */
    dryRun?: boolean;
    /** Next fixture number to use (auto-detected if omitted) */
    nextNumber?: number;
}
export interface GeneratedFixture {
    name: string;
    source: string;
    ir: unknown;
    diagnostics?: unknown;
    results?: unknown;
}
export interface GenerationResult {
    fixtures: GeneratedFixture[];
    totalAttempts: number;
    successful: number;
    failed: number;
}
export declare function genTestsCommand(source: string | undefined, options?: GenTestsOptions): Promise<GenerationResult>;
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