lindy-common-errors

v2026.09.24

Troubleshoot common Lindy AI agent errors and workflow failures. Use when encountering errors, debugging agent failures, or resolving integration problems. Trigger with phrases like "lindy error", "lindy not working", "debug lindy", "lindy troubleshoot", "lindy agent failed".

GitHub
安装命令
npx skhub add jeremylongshore/lindy-common-errors
Markdown
SKILL.md

Lindy Common Errors

Overview

Troubleshooting guide for Lindy AI agent errors. Lindy agents fail at specific points in the workflow: trigger reception, action execution, condition evaluation, or exit condition evaluation. This guide covers each failure class.

Prerequisites

  • Access to Lindy dashboard (https://app.lindy.ai)
  • Ability to view agent Tasks tab for error details
  • For webhook debugging: curl installed

Instructions

  1. Capture the failing run identifier, trigger payload shape, and first failing step without copying sensitive fields into the incident record.
  2. Reproduce the behavior in a test agent or disabled workflow using a bounded input.
  3. Apply the smallest trace-supported remediation, then rerun both the failure fixture and a normal-success fixture before restoring schedules.

Trigger Errors

Webhook Not Firing

Symptoms: No task created when webhook is sent Causes & Solutions:

CauseDiagnosticFix
Wrong URLCheck webhook URL in agent configCopy exact URL from trigger settings
Missing authcurl -v shows 401Add Authorization: Bearer <secret> header
Agent inactiveDashboard shows agent pausedActivate the agent
Filter blockingTrigger filter too restrictiveReview filter conditions, test with broader filter
Wrong HTTP methodUsing GET instead of POSTLindy webhooks require POST
# Diagnostic: Test webhook connectivity
curl -v -X POST "https://public.lindy.ai/api/v1/webhooks/YOUR_ID" \
  -H "Authorization: Bearer YOUR_SECRET" \
  -H "Content-Type: application/json" \
  -d '{"test": true}'
# Expect: 200 OK

Email Trigger Not Activating

Symptoms: Emails arrive but agent does not wake up Solutions:

  1. Verify Gmail/Outlook authorization is current (re-authorize if expired)
  2. Check label filter — Lindy Email Received trigger can filter by label
  3. Confirm email matches trigger filter conditions (sender, subject, etc.)
  4. Check that agent is active, not paused

Schedule Trigger Missed

Symptoms: Agent did not run at scheduled time Solutions:

  1. Verify timezone settings match your expectation
  2. Check credit balance — agents stop if credits exhausted
  3. Review schedule configuration (daily vs weekday vs custom)

Action Errors

Slack Send Failed

ErrorCauseFix
Channel not foundChannel name wrong or privateUse exact channel name; ensure bot is invited
Not authorizedSlack token expiredRe-authorize Slack in Lindy integrations
Rate limitedToo many messagesReduce trigger frequency or batch messages

Gmail Send Failed

ErrorCauseFix
Authentication expiredOAuth token expiredRe-authorize Gmail in Settings
Recipient rejectedInvalid email addressValidate email format in prior step
Draft not foundThread ID mismatchVerify thread context in action config

HTTP Request Action Failed

ErrorCauseFix
Connection refusedTarget API downVerify target URL is reachable
401 UnauthorizedAuth header misconfiguredCheck Authorization header value
TimeoutTarget API slowIncrease timeout or optimize target endpoint
SSL errorInvalid certificateEnsure target uses valid HTTPS cert
# Diagnostic: Test target API independently
curl -v -X POST "https://api.yourapp.com/endpoint" \
  -H "Content-Type: application/json" \
  -d '{"test": true}'

Run Code Action Failed

ErrorCauseFix
Import errorLibrary not availableUse only pre-installed libraries (pandas, numpy, etc.)
Type errorInput variable is stringCast explicitly: int(var), json.loads(var)
TimeoutLong-running computationOptimize code; avoid infinite loops
Return value emptyNo return statementAdd explicit return with result data

Knowledge Base Returns No Results

CauseFix
Fuzziness at 0 (keyword only)Increase to 100 for semantic search
Content not indexedTrigger Resync Knowledge Base action
Query too vagueSwitch field to AI Prompt mode with specific instructions
File too large (>20MB)Split into smaller files

Agent Step Errors

Agent Loops Indefinitely

Cause: Exit conditions never satisfied Fix: Add measurable, achievable exit conditions:

Primary: "Found at least 3 relevant results"
Fallback: "Made 5 search attempts without finding results"

Agent Picks Wrong Condition Branch

Cause: Ambiguous condition prompt Fix: Make conditions mutually exclusive with clear criteria:

Branch A: "Go down this path if the email mentions billing, payment, or invoice"
Branch B: "Go down this path if the email mentions a technical issue, bug, or error"
Branch C: "Go down this path for all other topics"

Credit Overrun Warning

Symptom: "Task using more resources than expected" pause Cause: Agent step consuming too many credits (complex reasoning) Fix: Simplify prompt, reduce available skills (2-4 max), use smaller model

Debugging Checklist

  1. Open agent Tasks tab — find the failed task
  2. Click into the task — review each step's input/output
  3. Identify the failing step (red indicator)
  4. Check the step's error message and stack trace
  5. Verify integration authorizations are current
  6. Test the trigger independently (curl for webhooks)
  7. Test the action independently (manual run)
  8. Check credit balance — insufficient credits halt execution

Error Handling

Error CategoryHTTP StatusRetry?Notes
Auth failure401NoRe-authorize integration
Rate limited429YesWait for credit reset
Agent not found404NoVerify agent exists and is active
Action timeout504YesSimplify step or increase timeout
Run Code error500MaybeFix code, then retry
Credit exhausted402NoUpgrade plan or wait for monthly reset

Output

Return a compact incident record: observed error, failing trigger or action, correlation ID, reproduction input, remediation applied, and the verification result. Separate platform failures from errors in the connected service.

Examples

When an agent step times out, replay the same bounded input in a test agent, inspect the step trace, reduce the action payload or timeout only where the trace identifies the bottleneck, then rerun the original fixture before re-enabling the production schedule.

Resources

Next Steps

Proceed to lindy-debug-bundle for comprehensive diagnostics.

发现
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版本
最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

MIT

源路径

skills/.curated/lindy-common-errors

默认分支

main

最新提交

e5a6c3b

Tree SHA

c2dc8e8