Model timeouts occur when AI models take too long to respond or when connections are interrupted. Learn how to identify and resolve these issues.Documentation Index
Fetch the complete documentation index at: https://docs.zerotwo.ai/llms.txt
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Common timeout errors
Request timeout
Request timeout
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
- Simplify your prompt: Break complex requests into smaller parts
- Reduce context: Remove unnecessary conversation history
- Try again: Temporary provider issues often resolve quickly
- Switch models: Try a faster model (GPT-4o-mini, Claude Haiku)
- Check network: Verify stable internet connection
Connection error
Connection error
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
Rate limit exceeded
Rate limit exceeded
Error: “Too many requests” or “Rate limit exceeded”Causes:
- Sending requests too quickly
- Reached usage limits for your plan
- Provider-side rate limiting
- Wait a moment before retrying
- Reduce request frequency
- Check your subscription plan
- Upgrade for higher limits if needed
Preventing timeouts
Optimize prompt length
- Keep prompts concise but clear
- Remove redundant information
- Use structured prompting
Manage context
- Start new conversations for unrelated topics
- Clear old conversation history
- Use Memory instead of repeating context
Choose appropriate models
- Use faster models for simple tasks
- Reserve powerful models for complex problems
- See model comparison
Related pages
Switch models
Choose appropriate models
Token limits
Manage context efficiently
Report a bug
Report persistent issues
Models overview
Compare model capabilities

