lindy-sdk-patterns by jeremylongshore

---
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 <[email protected]>
---

# Lindy SDK Patterns

## Overview
Essential SDK patterns and best practices for Lindy AI agent development.

## Prerequisites
- Completed `lindy-install-auth` setup
- Basic understanding of async/await
- Familiarity with TypeScript

## Instructions

### Pattern 1: Client Singleton
```typescript
// 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
```typescript
// 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
```typescript
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
```typescript
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
```typescript
// 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
- [Lindy SDK Patterns](https://docs.lindy.ai/patterns)
- [TypeScript Best Practices](https://docs.lindy.ai/typescript)

## Next Steps
Proceed to `lindy-core-workflow-a` for agent creation workflows.