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@aaswe/codebase-ai

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AI-Assisted Software Engineering (AASWE) - Rich codebase context for IDE LLMs

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export interface DatabaseConfig { neo4j: { uri: string; user: string; password: string; }; redis: { url: string; }; } export interface LLMConfig { providers: { openai?: { apiKey: string; model: string; }; anthropic?: { apiKey: string; model: string; }; }; defaultProvider: 'openai' | 'anthropic'; temperature: number; maxTokens: number; } export interface AnalysisConfig { enabled: boolean; incremental: boolean; excludePaths: string[]; includePaths: string[]; supportedLanguages: string[]; complexityThreshold: number; } export interface IntegrationConfig { jira?: { enabled: boolean; url: string; username: string; apiToken: string; projectKey: string; }; confluence?: { enabled: boolean; url: string; username: string; apiToken: string; spaceKey: string; }; } export interface Config { project: { name: string; description: string; mainLanguage: string; version: string; }; database: DatabaseConfig; llm: LLMConfig; analysis: AnalysisConfig; integrations: IntegrationConfig; rdf: { format: 'turtle' | 'rdf-xml' | 'n3'; versioning: 'git-aligned' | 'timestamp'; storagePath: string; }; mcp: { port: number; contextSizeLimit: number; relevanceThreshold: number; }; } declare class ConfigManager { private static instance; private config; private constructor(); static getInstance(): ConfigManager; private loadConfiguration; private mergeConfigs; getConfig(): Config; updateConfig(updates: Partial<Config>): void; getDatabaseConfig(): DatabaseConfig; getLLMConfig(): LLMConfig; getAnalysisConfig(): AnalysisConfig; getMCPConfig(): { port: number; contextSizeLimit: number; relevanceThreshold: number; }; getRDFConfig(): { format: "turtle" | "rdf-xml" | "n3"; versioning: "git-aligned" | "timestamp"; storagePath: string; }; } export declare const configManager: ConfigManager; export default configManager; //# sourceMappingURL=index.d.ts.map