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claude-gemini-multimodal-bridge

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Enterprise-grade AI integration bridge connecting Claude Code, Gemini CLI, and Google AI Studio with intelligent routing and advanced multimodal processing capabilities

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import { ExecutionPlan, FileReference, ProcessingOptions, ResourceEstimate, WorkflowDefinition, WorkflowResult } from '../core/types.js'; export declare class ExtractionWorkflow implements WorkflowDefinition { id: string; steps: any[]; continueOnError: boolean; timeout: number; private orchestrator; private documentAnalysis; private multimodalProcess; private readonly EXTRACTION_TYPES; constructor(id?: string); executeComprehensiveExtraction(files: FileReference[], extractionTypes: (keyof typeof this.EXTRACTION_TYPES)[], options?: ProcessingOptions & { outputFormat?: 'json' | 'xml' | 'csv' | 'markdown'; includeConfidence?: boolean; structuredOutput?: boolean; }): Promise<WorkflowResult>; executeTextExtraction(files: FileReference[], options?: ProcessingOptions & { preserveFormatting?: boolean; extractFootnotes?: boolean; includePageNumbers?: boolean; }): Promise<WorkflowResult>; executeStructuredDataExtraction(files: FileReference[], dataTypes: ('tables' | 'lists' | 'forms' | 'charts' | 'key-value-pairs')[], options?: ProcessingOptions & { outputFormat?: 'json' | 'csv' | 'xml'; includeHeaders?: boolean; normalizeData?: boolean; }): Promise<WorkflowResult>; executeEntityExtraction(files: FileReference[], entityTypes: ('persons' | 'organizations' | 'locations' | 'dates' | 'numbers' | 'emails' | 'urls' | 'custom')[], options?: ProcessingOptions & { customEntities?: string[]; includeContext?: boolean; confidence?: number; }): Promise<WorkflowResult>; executeMultimodalExtraction(files: FileReference[], contentTypes: ('text' | 'images' | 'audio' | 'video' | 'metadata')[], options?: ProcessingOptions & { transcribeAudio?: boolean; extractFrames?: boolean; analyzeImages?: boolean; }): Promise<WorkflowResult>; executeFormDataExtraction(files: FileReference[], formFields?: string[], options?: ProcessingOptions & { detectFields?: boolean; validateData?: boolean; outputFormat?: 'json' | 'csv'; }): Promise<WorkflowResult>; executeMetadataExtraction(files: FileReference[], metadataTypes: ('technical' | 'descriptive' | 'administrative' | 'structural')[], options?: ProcessingOptions & { includeEXIF?: boolean; analyzeContent?: boolean; }): Promise<WorkflowResult>; createExecutionPlan(files: FileReference[], prompt: string, options?: ProcessingOptions): Promise<ExecutionPlan>; validateInputs(inputs: any): boolean; estimateResourceRequirements(inputs: any): ResourceEstimate; private validateExtraction; private createComprehensiveExtractionWorkflow; private createTextExtractionWorkflow; private createStructuredDataExtractionWorkflow; private createEntityExtractionWorkflow; private createMultimodalExtractionWorkflow; private createFormDataExtractionWorkflow; private createMetadataExtractionWorkflow; private getExtractionAction; private categorizeFileTypes; private assessExtractionComplexity; private estimateExtractionDuration; private estimateExtractionCost; getSupportedExtractionTypes(): typeof this.EXTRACTION_TYPES; getAvailableExtractionTypes(): string[]; getCapabilities(): string[]; } //# sourceMappingURL=ExtractionWorkflow.d.ts.map