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@juspay/neurolink

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The pipe layer of an AI nervous system: one interface connecting provider neurons to your application, across three inference types — generate, stream and decide. `decide` returns typed, calibrated judgements from a non-generative model (~400ms, ~$0.00002

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import chalk from "chalk"; export class DocsCommandFactory { static createDocsCommand() { return { command: "docs", describe: "Start the NeuroLink documentation MCP server", builder: (yargs) => yargs .option("transport", { alias: "t", type: "string", choices: ["stdio", "http"], default: "stdio", description: "Transport protocol (stdio for local, http for remote)", }) .option("port", { alias: "p", type: "number", default: 3001, description: "Port for HTTP transport (ignored for stdio)", }), handler: async (argv) => { await DocsCommandFactory.executeDocs(argv); }, }; } static async executeDocs(argv) { try { // Dynamic path prevents TypeScript from resolving outside rootDir const mcpServerPath = "../../../docs-site/mcp-server/index.js"; const { startDocsServer } = await import(mcpServerPath); await startDocsServer({ transport: argv.transport, port: argv.port, }); } catch (err) { if (err instanceof Error && err.message.includes("search-index.json not found")) { console.error(chalk.red("\nSearch index not found. Build the docs site first:\n")); console.error(chalk.cyan(" cd docs-site && pnpm build\n")); process.exit(1); } console.error(chalk.red("Failed to start docs server:"), err); process.exit(1); } } } //# sourceMappingURL=docs.js.map