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Model timeouts occur when AI models take too long to respond or when connections are interrupted. Learn how to identify and resolve these issues.

Common timeout errors

Error: “Request timed out” or “Model took too long to respond”Causes:
  • Very long or complex prompts
  • Model provider experiencing high load
  • Network connectivity issues
  • Context window limits exceeded
Solutions:
  1. Simplify your prompt: Break complex requests into smaller parts
  2. Reduce context: Remove unnecessary conversation history
  3. Try again: Temporary provider issues often resolve quickly
  4. Switch models: Try a faster model (GPT-4o-mini, Claude Haiku)
  5. Check network: Verify stable internet connection
Instead of: "Analyze this entire 50-page document and provide detailed insights on every section"
Try: "Summarize the key points from section 1 of this document"
Error: “Connection lost” or “Failed to connect”Solutions:
  • Check internet connection
  • Disable VPN temporarily
  • Try different network
  • Clear browser cache
  • Disable browser extensions
  • Try incognito/private mode
Error: “Too many requests” or “Rate limit exceeded”Causes:
  • Sending requests too quickly
  • Reached usage limits for your plan
  • Provider-side rate limiting
Solutions:
  1. Wait a moment before retrying
  2. Reduce request frequency
  3. Check your subscription plan
  4. Upgrade for higher limits if needed

Preventing timeouts

1

Optimize prompt length

2

Manage context

  • Start new conversations for unrelated topics
  • Clear old conversation history
  • Use Memory instead of repeating context
3

Choose appropriate models

  • Use faster models for simple tasks
  • Reserve powerful models for complex problems
  • See model comparison
4

Monitor usage

  • Track your usage patterns
  • Stay within plan limits
  • Upgrade if regularly hitting limits
For very long documents, process them in sections rather than all at once. This prevents timeouts and provides better results.