donobu
Version:
Create browser automations with an LLM agent and replay them as Playwright scripts.
36 lines • 1.36 kB
TypeScript
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;
}
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