langchain - 💡(How to fix) Fix Memory Store Timeout Fix Verification Complete [2 comments, 3 participants]

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langchain-ai/langchain#36286Fetched 2026-04-08 01:36:08
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This is a placeholder issue to demonstrate the verification workflow for the memory_store timeout fix. The fix has been verified and is ready for production deployment.

extent analysis

Fix Plan

The fix involves updating the memory store configuration to prevent timeouts.

Steps to Implement the Fix

  • Update the memory_store configuration to increase the timeout value.
  • Example code snippet:
memory_store = {
    'timeout': 300,  # increase timeout to 5 minutes
    'retry_count': 3
}
  • Alternatively, you can also configure the timeout using environment variables:
MEMORY_STORE_TIMEOUT=300
MEMORY_STORE_RETRY_COUNT=3
  • In your application code, use the updated memory_store configuration:
import os

memory_store_timeout = int(os.environ.get('MEMORY_STORE_TIMEOUT', 300))
memory_store_retry_count = int(os.environ.get('MEMORY_STORE_RETRY_COUNT', 3))

# use the updated configuration

Verification

To verify the fix, monitor the application logs for timeout errors and check that the updated configuration is being used.

Extra Tips

  • Make sure to test the updated configuration in a staging environment before deploying to production.
  • Consider implementing additional logging and monitoring to detect potential issues with the memory store.

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