import type { LLMProvider } from './types.js';
import type { LLMCapability } from '../schemas/index.js';
/**
 * Gets the appropriate LLM provider for a given capability.
 *
 * Capabilities:
 * - reason: Complex thinking, multi-step logic (Claude Opus, GPT-4)
 * - summarize: Condensing, prioritizing info (Claude Sonnet)
 * - categorize: Classification, tagging (fast models like Haiku)
 * - format: Markdown, text cleanup (fast models)
 * - chat: General conversation (default provider)
 * - embed: Vector embeddings (OpenAI embeddings)
 */
export declare function getModelForCapability(capability: LLMCapability): Promise<LLMProvider>;
/**
 * Get embeddings for an array of texts.
 * Uses the local all-MiniLM-L6-v2 model by default (no API key, no network after first download).
 * Falls back to the configured `embed` provider if local embedding fails.
 */
export declare function getEmbeddings(texts: string[], _dimensions?: number): Promise<number[][]>;
/**
 * Initialize the system prompt cache. Call once at startup.
 */
export declare function initSystemPromptCache(): Promise<void>;
/**
 * Refresh the system prompt cache (e.g. after profile save).
 */
export declare function refreshSystemPromptCache(): Promise<void>;
/**
 * Creates a system prompt with the agent's identity, capabilities, and context.
 * Personality-aware: pulls personality config and agent name from cached state.
 */
export declare function createSystemPrompt(context: string): string;
//# sourceMappingURL=router.d.ts.map