llmverify/dist/adapters/providers/custom.d.ts

AI Output Verification Toolkit — Local-first LLM safety, hallucination detection, PII redaction, prompt injection defense, and runtime monitoring. Zero telemetry. OWASP LLM Top 10 aligned.

/**
 * Custom Adapter
 *
 * Adapter for any custom LLM provider or API.
 *
 * @module adapters/providers/custom
 * @author Haiec
 * @license MIT
 */
import { LlmClient, AdapterConfig } from '../types';
/**
 * Builds a custom adapter.
 *
 * @param config - Adapter configuration
 * @returns LLM client for custom provider
 *
 * @example
 * // Wrap any API
 * const llm = buildCustomAdapter({
 *   provider: 'custom',
 *   providerName: 'My API',
 *   client: {
 *     async generate(request) {
 *       const res = await fetch('https://my-api.com/generate', {
 *         method: 'POST',
 *         body: JSON.stringify({ prompt: request.prompt })
 *       });
 *       const data = await res.json();
 *       return { text: data.output, tokens: data.tokens };
 *     }
 *   }
 * });
 *
 * @example
 * // Wrap existing SDK
 * const llm = buildCustomAdapter({
 *   provider: 'custom',
 *   providerName: 'Together AI',
 *   client: {
 *     async generate(request) {
 *       const response = await togetherClient.chat.completions.create({
 *         model: request.model ?? 'meta-llama/Llama-3-70b-chat-hf',
 *         messages: [{ role: 'user', content: request.prompt }]
 *       });
 *       return {
 *         text: response.choices[0].message.content,
 *         tokens: response.usage?.completion_tokens ?? 0
 *       };
 *     }
 *   }
 * });
 */
export declare function buildCustomAdapter(config: AdapterConfig): LlmClient;