@vfarcic/dot-ai
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AI-powered development productivity platform that enhances software development workflows through intelligent automation and AI-driven assistance
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TypeScript
import { GenericSessionManager } from '../core/generic-session-manager';
import { PluginManager } from '../core/plugin-manager';
import { Logger } from '../core/error-handling';
import { OperateSessionData, ProposedChanges } from './operate';
/**
* Result type for operate analysis
*/
interface OperateAnalysisResult {
status: 'awaiting_user_approval';
sessionId: string;
visualizationUrl?: string;
analysis: {
summary: string;
currentState: unknown;
proposedChanges: ProposedChanges;
commands: string[];
dryRunValidation: {
status: 'success' | 'failed';
details: string;
};
patternsApplied: string[];
capabilitiesUsed: string[];
policiesChecked: string[];
risks: {
level: 'low' | 'medium' | 'high';
description: string;
};
validationIntent: string;
};
message: string;
agentInstructions: string;
}
/**
* Analyzes user intent and generates operational proposal using AI tool loop
*
* PRD #343: pluginManager is required - all kubectl operations go through plugin.
*
* @param intent - User's operational intent (e.g., "update my-api to v2.0")
* @param logger - Logger instance
* @param sessionManager - Session manager instance
* @param pluginManager - Plugin manager for kubectl operations
* @param sessionId - Optional session ID for refinement
* @param interaction_id - Optional interaction ID for eval datasets
* @returns Operation output with proposed changes
*/
export declare function analyzeIntent(intent: string, logger: Logger, sessionManager: GenericSessionManager<OperateSessionData>, pluginManager: PluginManager, sessionId?: string, interaction_id?: string): Promise<OperateAnalysisResult>;
export {};
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