96 lines
3.2 KiB
TypeScript
96 lines
3.2 KiB
TypeScript
import { resolveEnvApiKey } from "../agents/model-auth.js";
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import {
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formatApiKeyPreview,
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normalizeApiKeyInput,
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validateApiKeyInput,
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} from "./auth-choice.api-key.js";
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import type { ApplyAuthChoiceParams, ApplyAuthChoiceResult } from "./auth-choice.apply.js";
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import { applyDefaultModelChoice } from "./auth-choice.default-model.js";
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import {
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applyAuthProfileConfig,
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applyMinimaxApiConfig,
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applyMinimaxApiProviderConfig,
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applyMinimaxConfig,
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applyMinimaxProviderConfig,
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setMinimaxApiKey,
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} from "./onboard-auth.js";
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export async function applyAuthChoiceMiniMax(
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params: ApplyAuthChoiceParams,
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): Promise<ApplyAuthChoiceResult | null> {
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let nextConfig = params.config;
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let agentModelOverride: string | undefined;
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const noteAgentModel = async (model: string) => {
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if (!params.agentId) return;
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await params.prompter.note(
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`Default model set to ${model} for agent "${params.agentId}".`,
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"Model configured",
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);
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};
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if (
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params.authChoice === "minimax-cloud" ||
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params.authChoice === "minimax-api" ||
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params.authChoice === "minimax-api-lightning"
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) {
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const modelId =
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params.authChoice === "minimax-api-lightning" ? "MiniMax-M2.1-lightning" : "MiniMax-M2.1";
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let hasCredential = false;
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const envKey = resolveEnvApiKey("minimax");
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if (envKey) {
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const useExisting = await params.prompter.confirm({
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message: `Use existing MINIMAX_API_KEY (${envKey.source}, ${formatApiKeyPreview(envKey.apiKey)})?`,
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initialValue: true,
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});
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if (useExisting) {
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await setMinimaxApiKey(envKey.apiKey, params.agentDir);
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hasCredential = true;
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}
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}
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if (!hasCredential) {
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const key = await params.prompter.text({
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message: "Enter MiniMax API key",
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validate: validateApiKeyInput,
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});
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await setMinimaxApiKey(normalizeApiKeyInput(String(key)), params.agentDir);
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}
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nextConfig = applyAuthProfileConfig(nextConfig, {
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profileId: "minimax:default",
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provider: "minimax",
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mode: "api_key",
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});
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{
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const modelRef = `minimax/${modelId}`;
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const applied = await applyDefaultModelChoice({
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config: nextConfig,
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setDefaultModel: params.setDefaultModel,
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defaultModel: modelRef,
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applyDefaultConfig: (config) => applyMinimaxApiConfig(config, modelId),
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applyProviderConfig: (config) => applyMinimaxApiProviderConfig(config, modelId),
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noteAgentModel,
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prompter: params.prompter,
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});
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nextConfig = applied.config;
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agentModelOverride = applied.agentModelOverride ?? agentModelOverride;
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}
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return { config: nextConfig, agentModelOverride };
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}
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if (params.authChoice === "minimax") {
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const applied = await applyDefaultModelChoice({
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config: nextConfig,
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setDefaultModel: params.setDefaultModel,
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defaultModel: "lmstudio/minimax-m2.1-gs32",
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applyDefaultConfig: applyMinimaxConfig,
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applyProviderConfig: applyMinimaxProviderConfig,
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noteAgentModel,
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prompter: params.prompter,
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});
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nextConfig = applied.config;
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agentModelOverride = applied.agentModelOverride ?? agentModelOverride;
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return { config: nextConfig, agentModelOverride };
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}
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return null;
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}
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