import type { KVNamespace } from "@cloudflare/workers-types"; import { BaseCache } from "@langchain/core/caches"; import { Generation } from "@langchain/core/outputs"; /** * @deprecated Install and import from "@langchain/cloudflare" instead. * * Represents a specific implementation of a caching mechanism using Cloudflare KV * as the underlying storage system. It extends the `BaseCache` class and * overrides its methods to provide the Cloudflare KV-specific logic. * @example * ```typescript * // Example of using OpenAI with Cloudflare KV as cache in a Cloudflare Worker * const cache = new CloudflareKVCache(env.KV_NAMESPACE); * const model = new ChatAnthropic({ * cache, * }); * const response = await model.invoke("How are you today?"); * return new Response(JSON.stringify(response), { * headers: { "content-type": "application/json" }, * }); * * ``` */ export declare class CloudflareKVCache extends BaseCache { private binding; constructor(binding: KVNamespace); /** * Retrieves data from the cache. It constructs a cache key from the given * `prompt` and `llmKey`, and retrieves the corresponding value from the * Cloudflare KV namespace. * @param prompt The prompt used to construct the cache key. * @param llmKey The LLM key used to construct the cache key. * @returns An array of Generations if found, null otherwise. */ lookup(prompt: string, llmKey: string): Promise; /** * Updates the cache with new data. It constructs a cache key from the * given `prompt` and `llmKey`, and stores the `value` in the Cloudflare KV * namespace. * @param prompt The prompt used to construct the cache key. * @param llmKey The LLM key used to construct the cache key. * @param value The value to be stored in the cache. */ update(prompt: string, llmKey: string, value: Generation[]): Promise; }