lindy-performance-tuning

# Lindy Performance Tuning ## Overview Lindy agents execute as multi-step workflows where each step (LLM call, action execution, API call, condition evaluation) adds latency and credit cost. Optimization targets: fewer steps, smaller models, faster actions, tighter prompts. ## Prerequisites - Lindy workspace with active agents - Access to agent Tasks tab (view step-by-step execution history) - Understanding of agent workflow structure ## Instructions ### Step 1: Profile Agent Execution In the Tasks tab, open a completed task and review: - **Total task duration**: Baseline for improvement - **Per-step timing**: Identify the slowest steps - **Credit consumption**: Which steps cost the most - **Step count**: Total actions executed per task Common bottlenecks: | Bottleneck | Symptom | Fix | |-----------|---------|-----| | Large model on simple task | High credit cost, slow | Switch to Gemini Flash | | Too many LLM steps | Long total duration | Consolidate into fewer steps | | Agent Step with many skills | Unpredictable path | Reduce to 2-4 focused skills | | Knowledge Base over-querying | Multiple KB searches | Increase Max Results per query | | Sequential when parallel possible | Unnecessary waiting | Use loop with Max Concurrent > 1 | ### Step 2: Right-Size Model Selection The single biggest performance lever. Match model to task complexity: | Task | Recommended Model | Speed | Credits | |------|-------------------|-------|---------| | Route email to category | Gemini Fl...