fireflies-performance-tuning

# Fireflies.ai Performance Tuning ## Overview Optimize Fireflies.ai GraphQL API performance. The biggest wins: request only needed fields (transcripts with sentences can be very large), cache immutable transcripts, and batch operations within rate limits. ## Prerequisites - `FIREFLIES_API_KEY` configured - Understanding of your access pattern (list vs detail, frequency) - Optional: Redis or LRU cache library ## Instructions ### Step 1: Field Selection -- The Biggest Win Transcript responses with `sentences` can be enormous. Always request the minimum fields needed. ```typescript // BAD: Fetching everything when you only need titles const HEAVY = `{ transcripts(limit: 50) { id title date duration sentences { text speaker_name start_time end_time } summary { overview action_items keywords outline bullet_gist } analytics { speakers { name duration word_count } } } }`; // GOOD: Light query for listing const LIGHT = `{ transcripts(limit: 50) { id title date duration organizer_email } }`; // GOOD: Full query only when drilling into a specific transcript const DETAIL = `query($id: String!) { transcript(id: $id) { id title sentences { speaker_name text start_time end_time } summary { overview action_items keywords } } }`; ``` ### Step 2: Cache Transcripts (They Are Immutable) Once a transcript is processed, its content never changes. Cache aggressively. ```typescript import { LRUCache } from "lru-cache"; const transcriptCache = new LRUCache<string, any>({ ma...