lindy-reference-architecture

Reference architectures for Lindy AI integrations. Use when designing systems, planning architecture, or implementing production patterns. Trigger with phrases like "lindy architecture", "lindy design", "lindy system design", "lindy patterns". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore <jeremy@intentsolutions.io>

Allowed Tools

No tools specified

Provided by Plugin

lindy-pack

Claude Code skill pack for Lindy AI (24 skills)

saas packs v1.0.0
View Plugin

Installation

This skill is included in the lindy-pack plugin:

/plugin install lindy-pack@claude-code-plugins-plus

Click to copy

Instructions

# Lindy Reference Architecture ## Overview Production-ready reference architectures for Lindy AI integrations. ## Prerequisites - Understanding of system design principles - Familiarity with cloud services - Production requirements defined ## Architecture Patterns ### Pattern 1: Basic Integration ``` ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ Client │────▶│ Backend │────▶│ Lindy AI │ │ (React) │◀────│ (Node.js) │◀────│ API │ └─────────────┘ └─────────────┘ └─────────────┘ ``` ```typescript // Simple backend integration import express from 'express'; import { Lindy } from '@lindy-ai/sdk'; const app = express(); const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY }); app.post('/api/chat', async (req, res) => { const { message, agentId } = req.body; const result = await lindy.agents.run(agentId, { input: message }); res.json({ response: result.output }); }); ``` ### Pattern 2: Event-Driven Architecture ``` ┌──────────────────────────────────────────────────────────┐ │ Event Bus (Redis/SQS) │ └────┬─────────────────┬─────────────────┬────────────────┘ │ │ │ ▼ ▼ ▼ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ Worker │ │ Worker │ │ Worker │ │ (Agent) │ │ (Agent) │ │ (Agent) │ └────┬────┘ └────┬────┘ └────┬────┘ │ │ │ └────────────────┼────────────────┘ ▼ ┌─────────────┐ │ Lindy AI │ │ API │ └─────────────┘ ``` ```typescript // Event-driven worker import { Queue } from 'bullmq'; import { Lindy } from '@lindy-ai/sdk'; const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY }); const queue = new Queue('lindy-tasks'); // Producer async function enqueueTask(agentId: string, input: string) { await queue.add('run-agent', { agentId, input }); } // Consumer const worker = new Worker('lindy-tasks', async (job) => { const { agentId, input } = job.data; const result = await lindy.agents.run(agentId, { input }); // Emit result event await eventBus.publish('agent.completed', { jobId: job.id, result: result.output, }); }); ``` ### Pattern 3: Multi-Agent Orchestration ``` ┌─────────────────┐ │ Orchestrator │ │ Agent │ └────────┬────────┘ │ ┌─────────────────┼─────────────────┐ │ │ │ ▼ ▼ ▼ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ Research │ │ Analysis │ │ Writing │ │ Agent │ │ Agent │ │ Agent │ └─────────────┘ └─────────────┘ └─────────────┘ ``` ```typescript // Multi-agent orchestrator class AgentOrchestrator { private lindy: Lindy; private agents: Record = { research: 'agt_research', analysis: 'agt_analysis', writing: 'agt_writing', orchestrator: 'agt_orchestrator', }; async execute(task: string): Promise { // Step 1: Orchestrator plans the work const plan = await this.lindy.agents.run(this.agents.orchestrator, { input: `Plan steps for: ${task}`, }); // Step 2: Execute each step const steps = JSON.parse(plan.output); const results: string[] = []; for (const step of steps) { const result = await this.lindy.agents.run( this.agents[step.agent], { input: step.task } ); results.push(result.output); } // Step 3: Synthesize results const synthesis = await this.lindy.agents.run(this.agents.orchestrator, { input: `Synthesize: ${results.join('\n')}`, }); return synthesis.output; } } ``` ### Pattern 4: High-Availability Setup ``` ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ Load │────▶│ App │────▶│ Lindy │ │ Balancer │ │ Server 1 │ │ Primary │ └─────────────┘ └─────────────┘ └──────┬──────┘ │ ┌─────────────┐ ┌──────▼──────┐ │ App │────▶│ Lindy │ │ Server 2 │ │ Fallback │ └─────────────┘ └─────────────┘ │ ┌─────────────┐ ┌─────────────┐ │ │ Cache │◀────│ Shared │◀───────────┘ │ (Redis) │ │ State │ └─────────────┘ └─────────────┘ ``` ```typescript // HA client with failover class HALindyClient { private primary: Lindy; private fallback: Lindy; private cache: Redis; async run(agentId: string, input: string) { // Check cache first const cached = await this.cache.get(`${agentId}:${input}`); if (cached) return JSON.parse(cached); try { // Try primary const result = await this.primary.agents.run(agentId, { input }); await this.cache.setex(`${agentId}:${input}`, 300, JSON.stringify(result)); return result; } catch (error) { // Fallback console.warn('Primary failed, using fallback'); return this.fallback.agents.run(agentId, { input }); } } } ``` ## Output - Architecture diagrams - Implementation patterns - HA/failover strategies - Multi-agent orchestration ## Error Handling | Pattern | Failure Mode | Recovery | |---------|--------------|----------| | Basic | API error | Retry with backoff | | Event-driven | Worker crash | Queue retry | | Multi-agent | Step failure | Skip or fallback | | HA | Primary down | Automatic failover | ## Resources - [Lindy Architecture Guide](https://docs.lindy.ai/architecture) - [Best Practices](https://docs.lindy.ai/best-practices) - [Case Studies](https://lindy.ai/case-studies) ## Next Steps Proceed to Flagship tier skills for enterprise features.

Skill file: plugins/saas-packs/lindy-pack/skills/lindy-reference-architecture/SKILL.md