Manage and optimize Lindy AI rate limits.
Use when hitting rate limits, optimizing API usage,
or implementing rate limit handling.
Trigger with phrases like "lindy rate limit", "lindy quota",
"lindy throttling", "lindy API limits".
Lindy uses a credit-based consumption model, not traditional API rate limits.
Every task (everything an agent does after being triggered) costs credits. Cost
scales with model intelligence, task complexity, premium actions, and duration.
Credit Consumption Reference
Factor
Credit Impact
Basic model task
1-3 credits
Large model task (GPT-4, Claude)
~10 credits
Premium actions (webhooks, phone)
Additional credits
Phone calls (US/Canada landline)
~20 credits/minute
Phone calls (international mobile)
21-53 credits/minute
Minimum per task
1 credit
Plan Credit Limits
Plan
Credits/Month
Approx Tasks
Price
Free
400
~40-400
$0
Pro
5,000
~500-1,500
$49.99/mo
Business
30,000
~3,000-30,000
$299.99/mo
Enterprise
Custom
Custom
Custom
Important: Credit limit enforcement is not instant. Lindy can only limit usage
after the limit has been breached, not precisely when it is reached. A task that
starts before the limit may complete and push usage slightly over.
Instructions
Step 1: Monitor Credit Usage
In the Lindy dashboard:
Navigate to Settings > Billing
Review current credit consumption
Track per-agent credit usage
Set up alerts for high-consumption agents
Step 2: Reduce Per-Task Credit Cost
Choose the right model for each step:
Task Type
Recommended Model
Credits
Simple routing/classification
Gemini Flash
~1
Standard text generation
Claude Sonnet / GPT-4o-mini
~3
Complex reasoning/analysis
GPT-4 / Claude Opus
~10
Phone calls (simple)
Gemini Flash
~20/min
Phone calls (complex)
Claude Sonnet
~20/min
Reduce action count per task:
Combine multiple LLM calls into one prompt with structured output
Use deterministic actions (Set Manually) instead of AI-powered fields where possible
Eliminate unnecessary condition branches
Use Run Code for data transformation instead of LLM steps
Step 3: Optimize Trigger Frequency
Prevent credit waste from over-triggering:
Problem: Email Received trigger fires on ALL emails → 200 tasks/day
Solution: Add trigger filter: "sender contains '@customers.com'
AND subject does not contain 'auto-reply'"
→ 20 tasks/day (90% reduction)
Trigger filter best practices:
Use AND/OR conditions with condition groups
Filter by sender, subject, label for email
Filter by channel, keyword, user for Slack
Add keyword filtering to exclude automated messages
Step 4: Implement Webhook Rate Limiting
When your application triggers Lindy agents via webhooks, rate-limit on your side:
In dashboard: review per-agent task counts and credit usage
Identify top consumers — agents with frequent triggers or large models
For each high-cost agent, evaluate: Can the model be smaller? Can steps be consolidated?
Resource Protection
Lindy includes built-in protection: when a task starts using more resources than
expected, Lindy pauses and checks in before continuing. This prevents runaway
agent steps from consuming unlimited credits.