lindy-cost-tuning

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Optimize Lindy AI costs through credit management, model selection, and agent consolidation. Use when reducing spend, analyzing credit usage patterns, or optimizing budget allocation across agents. Trigger with phrases like "lindy cost", "lindy billing", "reduce lindy spend", "lindy budget", "lindy credits".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# Lindy Cost Tuning ## Overview Lindy uses a credit-based pricing model. Every task costs credits based on model size, step count, premium actions, and duration. Cost tuning targets: model right-sizing, agent consolidation, trigger optimization, and credit monitoring. ## Prerequisites - Lindy workspace with billing access - Multiple active agents to evaluate - Dashboard access to review per-agent task history ## Credit Cost Reference | Factor | Credits | |--------|---------| | Basic model task (Gemini Flash) | 1-2 | | Mid-tier model (GPT-4o-mini, Claude Haiku) | 2-5 | | Large model task (GPT-4, Claude Sonnet) | 5-10 | | Premium model (Claude Opus) | ~10+ | | Phone call (US/Canada) | ~20/minute | | Phone call (international) | 21-53/minute | | Premium actions (webhooks) | Additional per action | | Minimum per task | 1 credit | ## Plan Costs | Plan | Monthly | Credits | Per Extra Seat | |------|---------|---------|----------------| | Free | $0 | 400 | N/A | | Pro | $49.99 | 5,000 | $19.99 | | Business | $299.99 | 30,000 | Included | | Enterprise | Custom | Custom | Custom | ## Instructions ### Step 1: Audit Agent Credit Consumption For each active agent, collect: 1. **Task count** (last 30 days) — from Tasks tab 2. **Average credits per task** — total credits / task count 3. **Model used** — from agent settings 4. **Trigger frequency** — how often the agent fires Create a cost audit table: | Agent | Tasks/Month | Credits/Task | Model | Monthly Credits | % of Total | |-...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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