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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TypeScript
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[];
}
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