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https://github.com/QwenLM/qwen-code.git
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Auth First Run (#1207)
Co-authored-by: Tommaso Sciortino <sciortino@gmail.com> Co-authored-by: N. Taylor Mullen <ntaylormullen@google.com>
This commit is contained in:
@@ -13,7 +13,6 @@ import {
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setGeminiMdFilename as setServerGeminiMdFilename,
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getCurrentGeminiMdFilename,
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ApprovalMode,
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ContentGeneratorConfig,
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GEMINI_CONFIG_DIR as GEMINI_DIR,
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DEFAULT_GEMINI_MODEL,
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DEFAULT_GEMINI_EMBEDDING_MODEL,
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@@ -21,7 +20,7 @@ import {
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TelemetryTarget,
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} from '@gemini-cli/core';
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import { Settings } from './settings.js';
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import { getEffectiveModel } from '../utils/modelCheck.js';
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import { Extension } from './extension.js';
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import { getCliVersion } from '../utils/version.js';
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import * as dotenv from 'dotenv';
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@@ -194,15 +193,12 @@ export async function loadCliConfig(
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extensionContextFilePaths,
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);
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const contentGeneratorConfig = await createContentGeneratorConfig(argv);
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const mcpServers = mergeMcpServers(settings, extensions);
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const sandboxConfig = await loadSandboxConfig(settings, argv);
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return new Config({
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sessionId,
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contentGeneratorConfig,
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embeddingModel: DEFAULT_GEMINI_EMBEDDING_MODEL,
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sandbox: sandboxConfig,
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targetDir: process.cwd(),
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@@ -242,6 +238,7 @@ export async function loadCliConfig(
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cwd: process.cwd(),
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fileDiscoveryService: fileService,
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bugCommand: settings.bugCommand,
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model: argv.model!,
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});
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}
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@@ -262,59 +259,6 @@ function mergeMcpServers(settings: Settings, extensions: Extension[]) {
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}
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return mcpServers;
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}
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async function createContentGeneratorConfig(
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argv: CliArgs,
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): Promise<ContentGeneratorConfig> {
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const geminiApiKey = process.env.GEMINI_API_KEY;
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const googleApiKey = process.env.GOOGLE_API_KEY;
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const googleCloudProject = process.env.GOOGLE_CLOUD_PROJECT;
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const googleCloudLocation = process.env.GOOGLE_CLOUD_LOCATION;
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const hasCodeAssist = process.env.GEMINI_CODE_ASSIST === 'true';
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const hasGeminiApiKey = !!geminiApiKey;
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const hasGoogleApiKey = !!googleApiKey;
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const hasVertexProjectLocationConfig =
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!!googleCloudProject && !!googleCloudLocation;
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if (hasGeminiApiKey && hasGoogleApiKey) {
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logger.warn(
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'Both GEMINI_API_KEY and GOOGLE_API_KEY are set. Using GOOGLE_API_KEY.',
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);
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}
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if (
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!hasCodeAssist &&
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!hasGeminiApiKey &&
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!hasGoogleApiKey &&
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!hasVertexProjectLocationConfig
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) {
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logger.error(
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'No valid API authentication configuration found. Please set ONE of the following combinations in your environment variables or .env file:\n' +
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'1. GEMINI_CODE_ASSIST=true (for Code Assist access).\n' +
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'2. GEMINI_API_KEY (for Gemini API access).\n' +
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'3. GOOGLE_API_KEY (for Gemini API or Vertex AI Express Mode access).\n' +
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'4. GOOGLE_CLOUD_PROJECT and GOOGLE_CLOUD_LOCATION (for Vertex AI access).\n\n' +
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'For Gemini API keys, visit: https://ai.google.dev/gemini-api/docs/api-key\n' +
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'For Vertex AI authentication, visit: https://cloud.google.com/vertex-ai/docs/authentication\n' +
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'The GOOGLE_GENAI_USE_VERTEXAI environment variable can also be set to true/false to influence service selection when ambiguity exists.',
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);
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process.exit(1);
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}
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const config: ContentGeneratorConfig = {
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model: argv.model || DEFAULT_GEMINI_MODEL,
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apiKey: googleApiKey || geminiApiKey || '',
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vertexai: hasGeminiApiKey ? false : undefined,
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codeAssist: hasCodeAssist,
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};
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if (config.apiKey) {
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config.model = await getEffectiveModel(config.apiKey, config.model);
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}
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return config;
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}
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function findEnvFile(startDir: string): string | null {
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let currentDir = path.resolve(startDir);
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while (true) {
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