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donobu

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Create browser automations with an LLM agent and replay them as Playwright scripts.

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import type { GptClientFactory } from '../clients/GptClientFactory'; import type { GptConfigInput } from '../models/GptConfig'; import type { GptConfigsPersistence } from '../persistence/gptconfigs/GptConfigsPersistence'; /** * This class manages GPT configs and is responsible for validation around * that context. */ export declare class GptConfigsManager { private readonly persistence; private readonly gptClientFactory; private constructor(); static create(persistence: GptConfigsPersistence, gptClientFactory: GptClientFactory): Promise<GptConfigsManager>; /** * Attempt to save the given GPT config. Where possible, a zero-cost * request is attempted to be made with the GPT config before saving it. * If the zero-cost request is attempted and it fails, this method throws. */ set(name: string, config: GptConfigInput): Promise<void>; /** * Fetch a GPT config by name. */ get(name: string): Promise<GptConfigInput>; /** * Fetch all GPT configs. */ getAll(): Promise<Map<string, GptConfigInput>>; /** * Delete a GPT config by name. */ delete(name: string): Promise<void>; /** * Verifies the given GPT config and name or throws if they are invalid. */ private verifyGptConfigOrThrow; } //# sourceMappingURL=GptConfigsManager.d.ts.map