melod1n
a736f786c2
- add /openai (/chatgpt) chat command using OpenAI Responses API (streaming + incremental edits) - add /openAIListModels, /openAIGetModel, /openAISetModel - introduce base Command class and migrate non-chat commands to it - wire OpenAI client + env vars (OPENAI_API_KEY, OPENAI_MODEL) - bump deps (@google/genai, systeminformation, @types/node) and add openai
34 lines
1.3 KiB
TypeScript
34 lines
1.3 KiB
TypeScript
import {Message} from "typescript-telegram-bot-api";
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import {Command} from "../base/command";
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import {Environment} from "../common/environment";
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import {logError, replyToMessage} from "../util/utils";
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import {Requirements} from "../base/requirements";
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import {Requirement} from "../base/requirement";
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import {ollama} from "../index";
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export class OllamaSetModel extends Command {
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argsMode = "required" as const;
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title = "/ollamaSetModel";
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description = "Set Ollama model";
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requirements = Requirements.Build(Requirement.BOT_CREATOR);
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async execute(msg: Message, match?: RegExpExecArray | null): Promise<void> {
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const newModel = match?.[3];
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try {
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await ollama.show({model: newModel});
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Environment.setOllamaModel(newModel || Environment.OLLAMA_MODEL);
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const text = newModel ? `Выбрана модель "${newModel}"`
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: `Модель не задана. Будет использоваться стандартная модель "${Environment.OLLAMA_MODEL}".`;
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await replyToMessage({message: msg, text: text}).catch(logError);
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} catch (e) {
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logError(e);
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await replyToMessage({message: msg, text: e.toString()}).catch(logError);
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}
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}
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} |