/**
 * Docs search / fetch helpers for the Bland documentation at docs.bland.ai.
 *
 * Surfaces two capabilities to the agent:
 *   - bland_docs_search(query): searches the /llms.txt index (title + summary)
 *     and returns the top N matching entries with their doc URLs.
 *   - bland_docs_fetch(slug_or_url): fetches a single doc page as Markdown.
 *
 * The index (/llms.txt) is cached in-process for the TTL below. The full
 * content dump (/llms-full.txt) is NOT cached — it's ~1.3MB, too big.
 */
interface IndexEntry {
    title: string;
    summary: string;
    url: string;
}
/**
 * Parse the llms.txt index, which has lines like:
 *   - [Title](https://docs.bland.ai/path.md): One-sentence summary.
 * Everything else (blank lines, section headers) is ignored.
 */
export declare function parseIndex(text: string): IndexEntry[];
/**
 * Score an entry against query terms. Higher = better match.
 * Title hits weight much more than summary hits.
 */
export declare function scoreEntry(entry: IndexEntry, terms: string[]): number;
export declare function searchDocs(query: string, limit?: number): Promise<IndexEntry[]>;
/**
 * Fetch a single doc page. Accepts:
 *   - a full URL (must be on docs.bland.ai)
 *   - a relative path like 'api-v1/post/agent-testing-scenarios' or with .md
 *   - a slug like 'agent-testing-scenarios' (we'll try to resolve via index)
 */
export declare function fetchDoc(slugOrUrl: string): Promise<{
    url: string;
    content: string;
}>;
export declare function _resetDocsCache(): void;
export {};
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