470 lines
16 KiB
TypeScript
470 lines
16 KiB
TypeScript
import {
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loginAnthropic,
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loginOpenAICodex,
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type OAuthCredentials,
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type OAuthProvider,
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} from "@mariozechner/pi-ai";
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import { resolveAgentConfig } from "../agents/agent-scope.js";
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import {
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CLAUDE_CLI_PROFILE_ID,
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CODEX_CLI_PROFILE_ID,
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ensureAuthProfileStore,
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listProfilesForProvider,
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} from "../agents/auth-profiles.js";
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import { DEFAULT_MODEL, DEFAULT_PROVIDER } from "../agents/defaults.js";
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import {
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getCustomProviderApiKey,
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resolveEnvApiKey,
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} from "../agents/model-auth.js";
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import { loadModelCatalog } from "../agents/model-catalog.js";
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import { resolveConfiguredModelRef } from "../agents/model-selection.js";
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import type { ClawdbotConfig } from "../config/config.js";
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import type { RuntimeEnv } from "../runtime.js";
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import type { WizardPrompter } from "../wizard/prompts.js";
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import {
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isRemoteEnvironment,
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loginAntigravityVpsAware,
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} from "./antigravity-oauth.js";
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import {
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applyGoogleGeminiModelDefault,
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GOOGLE_GEMINI_DEFAULT_MODEL,
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} from "./google-gemini-model-default.js";
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import {
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applyAuthProfileConfig,
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applyMinimaxConfig,
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applyMinimaxProviderConfig,
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setAnthropicApiKey,
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setGeminiApiKey,
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writeOAuthCredentials,
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} from "./onboard-auth.js";
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import { openUrl } from "./onboard-helpers.js";
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import type { AuthChoice } from "./onboard-types.js";
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import {
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applyOpenAICodexModelDefault,
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OPENAI_CODEX_DEFAULT_MODEL,
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} from "./openai-codex-model-default.js";
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export async function warnIfModelConfigLooksOff(
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config: ClawdbotConfig,
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prompter: WizardPrompter,
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options?: { agentId?: string; agentDir?: string },
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) {
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const agentModelOverride = options?.agentId
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? resolveAgentConfig(config, options.agentId)?.model?.trim()
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: undefined;
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const configWithModel =
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agentModelOverride && agentModelOverride.length > 0
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? {
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...config,
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agent: {
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...config.agent,
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model: {
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...(typeof config.agent?.model === "object"
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? config.agent.model
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: undefined),
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primary: agentModelOverride,
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},
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},
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}
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: config;
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const ref = resolveConfiguredModelRef({
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cfg: configWithModel,
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defaultProvider: DEFAULT_PROVIDER,
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defaultModel: DEFAULT_MODEL,
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});
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const warnings: string[] = [];
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const catalog = await loadModelCatalog({
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config: configWithModel,
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useCache: false,
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});
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if (catalog.length > 0) {
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const known = catalog.some(
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(entry) => entry.provider === ref.provider && entry.id === ref.model,
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);
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if (!known) {
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warnings.push(
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`Model not found: ${ref.provider}/${ref.model}. Update agent.model or run /models list.`,
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);
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}
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}
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const store = ensureAuthProfileStore(options?.agentDir);
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const hasProfile = listProfilesForProvider(store, ref.provider).length > 0;
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const envKey = resolveEnvApiKey(ref.provider);
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const customKey = getCustomProviderApiKey(config, ref.provider);
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if (!hasProfile && !envKey && !customKey) {
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warnings.push(
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`No auth configured for provider "${ref.provider}". The agent may fail until credentials are added.`,
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);
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}
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if (ref.provider === "openai") {
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const hasCodex = listProfilesForProvider(store, "openai-codex").length > 0;
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if (hasCodex) {
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warnings.push(
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`Detected OpenAI Codex OAuth. Consider setting agent.model to ${OPENAI_CODEX_DEFAULT_MODEL}.`,
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);
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}
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}
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if (warnings.length > 0) {
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await prompter.note(warnings.join("\n"), "Model check");
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}
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}
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export async function applyAuthChoice(params: {
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authChoice: AuthChoice;
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config: ClawdbotConfig;
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prompter: WizardPrompter;
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runtime: RuntimeEnv;
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agentDir?: string;
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setDefaultModel: boolean;
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agentId?: string;
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}): Promise<{ config: ClawdbotConfig; agentModelOverride?: string }> {
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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 (params.authChoice === "oauth") {
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await params.prompter.note(
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"Browser will open. Paste the code shown after login (code#state).",
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"Anthropic OAuth",
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);
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const spin = params.prompter.progress("Waiting for authorization…");
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let oauthCreds: OAuthCredentials | null = null;
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try {
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oauthCreds = await loginAnthropic(
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async (url) => {
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await openUrl(url);
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params.runtime.log(`Open: ${url}`);
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},
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async () => {
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const code = await params.prompter.text({
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message: "Paste authorization code (code#state)",
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validate: (value) => (value?.trim() ? undefined : "Required"),
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});
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return String(code);
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},
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);
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spin.stop("OAuth complete");
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if (oauthCreds) {
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await writeOAuthCredentials("anthropic", oauthCreds, params.agentDir);
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const profileId = `anthropic:${oauthCreds.email ?? "default"}`;
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nextConfig = applyAuthProfileConfig(nextConfig, {
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profileId,
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provider: "anthropic",
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mode: "oauth",
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email: oauthCreds.email ?? undefined,
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});
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}
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} catch (err) {
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spin.stop("OAuth failed");
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params.runtime.error(String(err));
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await params.prompter.note(
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"Trouble with OAuth? See https://docs.clawd.bot/start/faq",
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"OAuth help",
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);
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}
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} else if (params.authChoice === "claude-cli") {
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const store = ensureAuthProfileStore(params.agentDir, {
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allowKeychainPrompt: false,
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});
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const hasClaudeCli = Boolean(store.profiles[CLAUDE_CLI_PROFILE_ID]);
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if (!hasClaudeCli && process.platform === "darwin") {
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await params.prompter.note(
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[
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"macOS will show a Keychain prompt next.",
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'Choose "Always Allow" so the launchd gateway can start without prompts.',
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'If you choose "Allow" or "Deny", each restart will block on a Keychain alert.',
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].join("\n"),
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"Claude CLI Keychain",
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);
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const proceed = await params.prompter.confirm({
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message: "Check Keychain for Claude CLI credentials now?",
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initialValue: true,
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});
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if (!proceed) {
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return { config: nextConfig, agentModelOverride };
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}
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}
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const storeWithKeychain = hasClaudeCli
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? store
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: ensureAuthProfileStore(params.agentDir, {
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allowKeychainPrompt: true,
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});
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if (!storeWithKeychain.profiles[CLAUDE_CLI_PROFILE_ID]) {
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await params.prompter.note(
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process.platform === "darwin"
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? 'No Claude CLI credentials found in Keychain ("Claude Code-credentials") or ~/.claude/.credentials.json.'
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: "No Claude CLI credentials found at ~/.claude/.credentials.json.",
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"Claude CLI OAuth",
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);
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return { config: nextConfig, agentModelOverride };
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}
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nextConfig = applyAuthProfileConfig(nextConfig, {
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profileId: CLAUDE_CLI_PROFILE_ID,
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provider: "anthropic",
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mode: "oauth",
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});
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} else if (params.authChoice === "openai-codex") {
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const isRemote = isRemoteEnvironment();
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await params.prompter.note(
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isRemote
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? [
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"You are running in a remote/VPS environment.",
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"A URL will be shown for you to open in your LOCAL browser.",
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"After signing in, paste the redirect URL back here.",
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].join("\n")
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: [
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"Browser will open for OpenAI authentication.",
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"If the callback doesn't auto-complete, paste the redirect URL.",
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"OpenAI OAuth uses localhost:1455 for the callback.",
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].join("\n"),
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"OpenAI Codex OAuth",
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);
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const spin = params.prompter.progress("Starting OAuth flow…");
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let manualCodePromise: Promise<string> | undefined;
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try {
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const creds = await loginOpenAICodex({
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onAuth: async ({ url }) => {
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if (isRemote) {
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spin.stop("OAuth URL ready");
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params.runtime.log(
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`\nOpen this URL in your LOCAL browser:\n\n${url}\n`,
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);
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manualCodePromise = params.prompter
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.text({
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message: "Paste the redirect URL (or authorization code)",
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validate: (value) => (value?.trim() ? undefined : "Required"),
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})
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.then((value) => String(value));
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} else {
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spin.update("Complete sign-in in browser…");
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await openUrl(url);
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params.runtime.log(`Open: ${url}`);
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}
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},
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onPrompt: async (prompt) => {
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if (manualCodePromise) {
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return manualCodePromise;
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}
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const code = await params.prompter.text({
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message: prompt.message,
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placeholder: prompt.placeholder,
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validate: (value) => (value?.trim() ? undefined : "Required"),
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});
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return String(code);
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},
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onProgress: (msg) => spin.update(msg),
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});
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spin.stop("OpenAI OAuth complete");
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if (creds) {
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await writeOAuthCredentials(
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"openai-codex" as unknown as OAuthProvider,
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creds,
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params.agentDir,
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);
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nextConfig = applyAuthProfileConfig(nextConfig, {
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profileId: "openai-codex:default",
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provider: "openai-codex",
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mode: "oauth",
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});
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if (params.setDefaultModel) {
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const applied = applyOpenAICodexModelDefault(nextConfig);
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nextConfig = applied.next;
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if (applied.changed) {
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await params.prompter.note(
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`Default model set to ${OPENAI_CODEX_DEFAULT_MODEL}`,
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"Model configured",
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);
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}
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} else {
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agentModelOverride = OPENAI_CODEX_DEFAULT_MODEL;
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await noteAgentModel(OPENAI_CODEX_DEFAULT_MODEL);
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}
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}
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} catch (err) {
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spin.stop("OpenAI OAuth failed");
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params.runtime.error(String(err));
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await params.prompter.note(
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"Trouble with OAuth? See https://docs.clawd.bot/start/faq",
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"OAuth help",
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);
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}
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} else if (params.authChoice === "codex-cli") {
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const store = ensureAuthProfileStore(params.agentDir);
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if (!store.profiles[CODEX_CLI_PROFILE_ID]) {
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await params.prompter.note(
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"No Codex CLI credentials found at ~/.codex/auth.json.",
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"Codex CLI OAuth",
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);
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return { config: nextConfig, agentModelOverride };
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}
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nextConfig = applyAuthProfileConfig(nextConfig, {
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profileId: CODEX_CLI_PROFILE_ID,
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provider: "openai-codex",
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mode: "oauth",
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});
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if (params.setDefaultModel) {
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const applied = applyOpenAICodexModelDefault(nextConfig);
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nextConfig = applied.next;
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if (applied.changed) {
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await params.prompter.note(
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`Default model set to ${OPENAI_CODEX_DEFAULT_MODEL}`,
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"Model configured",
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);
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}
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} else {
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agentModelOverride = OPENAI_CODEX_DEFAULT_MODEL;
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await noteAgentModel(OPENAI_CODEX_DEFAULT_MODEL);
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}
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} else if (params.authChoice === "antigravity") {
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const isRemote = isRemoteEnvironment();
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await params.prompter.note(
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isRemote
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? [
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"You are running in a remote/VPS environment.",
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"A URL will be shown for you to open in your LOCAL browser.",
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"After signing in, copy the redirect URL and paste it back here.",
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].join("\n")
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: [
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"Browser will open for Google authentication.",
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"Sign in with your Google account that has Antigravity access.",
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"The callback will be captured automatically on localhost:51121.",
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].join("\n"),
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"Google Antigravity OAuth",
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);
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const spin = params.prompter.progress("Starting OAuth flow…");
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let oauthCreds: OAuthCredentials | null = null;
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try {
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oauthCreds = await loginAntigravityVpsAware(
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async (url) => {
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if (isRemote) {
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spin.stop("OAuth URL ready");
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params.runtime.log(
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`\nOpen this URL in your LOCAL browser:\n\n${url}\n`,
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);
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} else {
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spin.update("Complete sign-in in browser…");
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await openUrl(url);
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params.runtime.log(`Open: ${url}`);
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}
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},
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(msg) => spin.update(msg),
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);
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spin.stop("Antigravity OAuth complete");
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if (oauthCreds) {
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await writeOAuthCredentials(
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"google-antigravity",
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oauthCreds,
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params.agentDir,
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);
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nextConfig = applyAuthProfileConfig(nextConfig, {
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profileId: `google-antigravity:${oauthCreds.email ?? "default"}`,
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provider: "google-antigravity",
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mode: "oauth",
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});
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const modelKey = "google-antigravity/claude-opus-4-5-thinking";
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nextConfig = {
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...nextConfig,
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agent: {
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...nextConfig.agent,
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models: {
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...nextConfig.agent?.models,
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[modelKey]: nextConfig.agent?.models?.[modelKey] ?? {},
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},
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},
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};
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if (params.setDefaultModel) {
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nextConfig = {
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...nextConfig,
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agent: {
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...nextConfig.agent,
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model: {
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...(nextConfig.agent?.model &&
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"fallbacks" in
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(nextConfig.agent.model as Record<string, unknown>)
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? {
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fallbacks: (
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nextConfig.agent.model as { fallbacks?: string[] }
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).fallbacks,
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}
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: undefined),
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primary: modelKey,
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},
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},
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};
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await params.prompter.note(
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`Default model set to ${modelKey}`,
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"Model configured",
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);
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} else {
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agentModelOverride = modelKey;
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await noteAgentModel(modelKey);
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}
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}
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} catch (err) {
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spin.stop("Antigravity OAuth failed");
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params.runtime.error(String(err));
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await params.prompter.note(
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"Trouble with OAuth? See https://docs.clawd.bot/start/faq",
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"OAuth help",
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);
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}
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} else if (params.authChoice === "gemini-api-key") {
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const key = await params.prompter.text({
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message: "Enter Gemini API key",
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validate: (value) => (value?.trim() ? undefined : "Required"),
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});
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await setGeminiApiKey(String(key).trim(), params.agentDir);
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nextConfig = applyAuthProfileConfig(nextConfig, {
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profileId: "google:default",
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provider: "google",
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mode: "api_key",
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});
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if (params.setDefaultModel) {
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const applied = applyGoogleGeminiModelDefault(nextConfig);
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nextConfig = applied.next;
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if (applied.changed) {
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await params.prompter.note(
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`Default model set to ${GOOGLE_GEMINI_DEFAULT_MODEL}`,
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"Model configured",
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);
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}
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} else {
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agentModelOverride = GOOGLE_GEMINI_DEFAULT_MODEL;
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await noteAgentModel(GOOGLE_GEMINI_DEFAULT_MODEL);
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}
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} else if (params.authChoice === "apiKey") {
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const key = await params.prompter.text({
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message: "Enter Anthropic API key",
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validate: (value) => (value?.trim() ? undefined : "Required"),
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});
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await setAnthropicApiKey(String(key).trim(), params.agentDir);
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nextConfig = applyAuthProfileConfig(nextConfig, {
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profileId: "anthropic:default",
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provider: "anthropic",
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mode: "api_key",
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});
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} else if (params.authChoice === "minimax") {
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if (params.setDefaultModel) {
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nextConfig = applyMinimaxConfig(nextConfig);
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} else {
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nextConfig = applyMinimaxProviderConfig(nextConfig);
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agentModelOverride = "lmstudio/minimax-m2.1-gs32";
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await noteAgentModel("lmstudio/minimax-m2.1-gs32");
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}
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}
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return { config: nextConfig, agentModelOverride };
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}
|