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Poolside Laguna Chatbot Next.js streaming AI template interface
AI Chatbot Template

Poolside Laguna Chatbot

Poolside Laguna Chatbot is a polished Next.js AI chatbot template for builders who want to experiment with Poolside Laguna through OpenRouter. It includes token-by-token streaming, server-side reasoning token logging when usage is returned, stop generation, starter prompts, an internal scrolling transcript, and a responsive composer. Use it for coding assistant demos, agent prototypes, AI SaaS starters, model comparison experiments, or internal tools that need a clean Poolside Laguna chat interface.

Direct answer

Poolside Laguna Chatbot is a Next.js RAG chatbot template for document Q&A, OpenAI embeddings, retrieval augmented generation, and AI chatbot answers with citations. It is best for knowledge-base assistants, support documentation bots, document intelligence apps, and internal research copilots.

Download on GitHub View repository Explore AI Lab
Poolside AI Poolside Laguna OpenRouter

Features

Streaming text chat
poolside/laguna-m.1:free model route
Server-side API route
Reasoning token usage logging
Responsive mobile interface
Internal chat transcript scrolling
Stop generation control

Use cases

Poolside Laguna chatbot demoCoding assistant prototypeAI assistant SaaSModel comparison prototypeOpenRouter AI experimentation

Freshness and tested metadata

last Tested
Jul 12, 2026
last Updated
Jul 12, 2026
next Version
Next.js 16.2.1
node Version
Node.js 20+
runtime
Next.js App Router
deployment
Vercel-ready starter
license
MIT
status
Open Source

Architecture

Next.js App Router page for the user-facing interface.
React components for the responsive chat, workflow, or document interaction surface.
Server-side route for AI provider calls so credentials stay outside the browser.
Tailwind CSS styling for a mobile-ready interface.
Retrieval layer for chunking, embeddings, evidence selection, and cited answer generation.
Agent workflow layer for prompt transformation, research, handoffs, and inspectable intermediate outputs.
Realtime session layer for WebRTC audio, ephemeral client secrets, live transcript rendering, and interruption handling.
OpenRouter SDK integration for multi-model routing, streaming responses, and model-specific experimentation.

Setup path

  1. 1Clone the GitHub repository linked above.
  2. 2Install dependencies with npm install.
  3. 3Create a local environment file from the example variables.
  4. 4Add the required AI provider API key on the server side.
  5. 5Run the local Next.js development server and test the primary workflow.

Related AI template categories

Next.js AI chatbot templates RAG chatbot templates for Next.js OpenAI Agents SDK templates Voice AI agent templates OpenRouter chatbot templates Next.js OpenAI templates ChatGPT clone templates Document Q&A AI templates

Internal template pathways

AI Templates GPT OSS Chatbot OpenRouter Free Chatbot Multimodal Chatbot

Frequently asked questions

What is Poolside Laguna Chatbot?

Poolside Laguna Chatbot is a Next.js RAG chatbot template for document Q&A, OpenAI embeddings, retrieval augmented generation, and AI chatbot answers with citations. It is best for knowledge-base assistants, support documentation bots, document intelligence apps, and internal research copilots.

Who should use Poolside Laguna Chatbot?

Use Poolside Laguna Chatbot if you are a Next.js developer, AI product builder, applied AI engineer, or founder looking for an open-source AI app starter instead of rebuilding the same AI interface and server route from scratch.

Is Poolside Laguna Chatbot production-ready?

This starter is production-grade in its AI safety baseline: prompts are hardened against prompt-injection attempts, provider calls stay server-side, unsafe inputs are constrained, and client-facing errors are kept safe. You should still expand it for your use case by adding or adapting authentication, tenant isolation, persistent storage, observability, quotas, billing, and business-specific policy checks before a real launch.