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lindy-sdk-patterns
by jeremylongshore
Hundreds of Claude Code plugins with embedded AI skills. Learn via interactive Jupyter tutorials.
⭐ 1,042🍴 135📅 Jan 23, 2026
SKILL.md
name: lindy-sdk-patterns description: | Lindy AI SDK best practices and common patterns. Use when learning SDK patterns, optimizing API usage, or implementing advanced agent features. Trigger with phrases like "lindy SDK patterns", "lindy best practices", "lindy API patterns", "lindy code patterns". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Lindy SDK Patterns
Overview
Essential SDK patterns and best practices for Lindy AI agent development.
Prerequisites
- Completed
lindy-install-authsetup - Basic understanding of async/await
- Familiarity with TypeScript
Instructions
Pattern 1: Client Singleton
// lib/lindy.ts
import { Lindy } from '@lindy-ai/sdk';
let client: Lindy | null = null;
export function getLindyClient(): Lindy {
if (!client) {
client = new Lindy({
apiKey: process.env.LINDY_API_KEY!,
timeout: 30000,
});
}
return client;
}
Pattern 2: Agent Factory
// agents/factory.ts
import { getLindyClient } from '../lib/lindy';
interface AgentConfig {
name: string;
instructions: string;
tools?: string[];
}
export async function createAgent(config: AgentConfig) {
const lindy = getLindyClient();
const agent = await lindy.agents.create({
name: config.name,
instructions: config.instructions,
tools: config.tools || [],
});
return agent;
}
Pattern 3: Retry with Backoff
async function runWithRetry<T>(
fn: () => Promise<T>,
maxRetries = 3
): Promise<T> {
for (let i = 0; i < maxRetries; i++) {
try {
return await fn();
} catch (error: any) {
if (error.status === 429 && i < maxRetries - 1) {
await new Promise(r => setTimeout(r, Math.pow(2, i) * 1000));
continue;
}
throw error;
}
}
throw new Error('Max retries exceeded');
}
Pattern 4: Streaming Responses
async function streamAgentResponse(agentId: string, input: string) {
const lindy = getLindyClient();
const stream = await lindy.agents.runStream(agentId, { input });
for await (const chunk of stream) {
process.stdout.write(chunk.delta);
}
console.log(); // newline
}
Output
- Reusable client singleton pattern
- Agent factory for consistent creation
- Robust error handling with retries
- Streaming support for real-time output
Error Handling
| Pattern | Use Case | Benefit |
|---|---|---|
| Singleton | Connection reuse | Reduced overhead |
| Factory | Agent creation | Consistency |
| Retry | Rate limits | Reliability |
| Streaming | Long responses | Better UX |
Examples
Complete Agent Service
// services/agent-service.ts
import { getLindyClient } from '../lib/lindy';
export class AgentService {
private lindy = getLindyClient();
async createAndRun(name: string, instructions: string, input: string) {
const agent = await this.lindy.agents.create({ name, instructions });
const result = await this.lindy.agents.run(agent.id, { input });
return { agent, result };
}
async listAgents() {
return this.lindy.agents.list();
}
async deleteAgent(id: string) {
return this.lindy.agents.delete(id);
}
}
Resources
Next Steps
Proceed to lindy-core-workflow-a for agent creation workflows.
Score
Total Score
85/100
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