| name | neurolink-guide |
| description | Guide for using the NeuroLink SDK and CLI. Invoke when users ask how to use neurolink, integrate AI providers, add MCP tools, configure RAG, set up memory, deploy servers, or work with multimodal content. Covers SDK, CLI, providers, tools, and enterprise features. |
| argument-hint | ["topic"] |
| allowed-tools | Read, Grep, Glob |
NeuroLink Usage Guide
NeuroLink is an enterprise AI development platform providing unified access to 21+ AI providers (text, voice, multimodal) through a single API. It ships as both a TypeScript SDK (@juspay/neurolink) and a professional CLI.
Quick Navigation
Based on your query, I'll guide you to the right documentation:
- Getting Started → Read sdk-quickstart.md
- Provider Setup → Read providers.md
- Multimodal (images, PDFs, files) → Read multimodal.md
- MCP Tools Integration → Read tools-mcp.md
- RAG Pipelines → Read rag-integration.md
- Conversation Memory → Read memory-conversations.md
- CLI Commands → Read cli-reference.md
- Advanced Features → Read advanced-features.md
- Troubleshooting → Read troubleshooting.md
Topic Routing
If the user asked about $ARGUMENTS:
| Topic Keywords | Reference File |
|---|
| install, setup, start, begin, quickstart | sdk-quickstart.md |
| provider, openai, anthropic, vertex, bedrock, azure, gemini, claude, model | providers.md |
| image, pdf, csv, excel, document, file, multimodal, vision | multimodal.md |
| tool, mcp, server, GitHub, external, function | tools-mcp.md |
| rag, retrieval, chunk, vector, embed, document search | rag-integration.md |
| memory, conversation, history, session, redis, context | memory-conversations.md |
| cli, command, terminal, generate, stream, loop, serve | cli-reference.md |
| hitl, workflow, agent, observe, telemetry, deploy, server | advanced-features.md |
| error, issue, problem, fix, debug, not working | troubleshooting.md |
Installation
npm install @juspay/neurolink
pnpm add @juspay/neurolink
yarn add @juspay/neurolink
Minimal Example
import { NeuroLink } from "@juspay/neurolink";
const neurolink = new NeuroLink();
const result = await neurolink.generate("Explain quantum computing");
console.log(result.content);
const stream = await neurolink.stream({ input: { text: "Write a story" } });
for await (const chunk of stream.stream) {
if ("content" in chunk) {
process.stdout.write(chunk.content);
}
}
Key Capabilities
| Feature | Description |
|---|
| 13+ Providers | OpenAI, Anthropic, Vertex, Bedrock, Azure, Mistral, Ollama, etc. |
| Multimodal | Images, PDFs, CSV, Excel, Word, 50+ file types |
| MCP Tools | 58+ tools via Model Context Protocol |
| RAG | Built-in chunking, embedding, vector search |
| Memory | Conversation history with Redis support |
| Streaming | Real-time token streaming |
| HITL | Human-in-the-loop approval workflows |
| Observability | Langfuse, OpenTelemetry integration |
Code Templates
Ready-to-use examples in templates/:
templates/basic-setup.ts - Basic SDK initialization
templates/streaming.ts - Streaming responses
templates/with-tools.ts - Tool integration
templates/rag-pipeline.ts - RAG usage
templates/server-deploy.ts - HTTP server deployment
CLI Quick Reference
neurolink generate "Your prompt"
neurolink stream "Write a story"
neurolink loop
neurolink serve --port 3000
neurolink setup openai
Environment Variables
Set up your provider credentials:
OPENAI_API_KEY=sk-...
ANTHROPIC_API_KEY=sk-ant-...
GOOGLE_API_KEY=...
VERTEX_PROJECT_ID=...
GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json
AWS_ACCESS_KEY_ID=...
AWS_SECRET_ACCESS_KEY=...
AWS_REGION=us-east-1
Type Imports
import type {
GenerateOptions,
GenerateResult,
StreamOptions,
StreamResult,
ChatMessage,
ToolInfo,
MCPServerInfo,
RAGConfig,
ProviderStatus,
} from "@juspay/neurolink";
Getting Help
- Check the relevant reference file above
- Review troubleshooting.md for common issues
- Look at code templates in
templates/
- Read the full CLAUDE.md in the project root for architecture details
Instructions for Claude: Based on the user's query about $ARGUMENTS, read the appropriate reference file and provide specific guidance. If no topic is specified, give a general overview of NeuroLink capabilities and ask what they'd like help with.