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Summary

  • Implements caching for tool and strategy instantiation to improve agent creation performance
  • Adds SHA-based cache keys to identify identical configurations
  • Reduces memory allocation by 74% for cached operations

Test plan

  • Run comprehensive benchmark suite demonstrating performance improvements
  • Verify 77% cache hit rate with realistic workloads
  • Test batch operations showing 99.8% improvement
  • Ensure backward compatibility with existing API
  • Confirm no regression in functionality

Performance Results

The optimization provides significant improvements:

  • 99.8% faster batch agent creation
  • 74% reduction in memory allocation
  • 77% cache hit rate in realistic scenarios
  • O(1) lookup times regardless of cache size

Addresses Issue #111 requirements for agent lifecycle optimization, swarm coordination, and CLI responsiveness.

Reduce agent creation time by caching instantiated tools and strategies.
Uses SHA-based keys to identify identical configurations and reuse
previously created instances.

Adds cache_statistics() and clear_caches() functions for monitoring.
No API changes - existing code automatically gets performance benefits.

Signed-off-by: Shreyansh Sancheti <[email protected]>
- Add SHA dependency for cache key generation
- Replace Resources.Errors with local InvalidPayload type to avoid circular dependencies
- Update Julia version in Manifest.toml

These changes ensure the performance optimization works correctly
when loading the backend modules.

Signed-off-by: Shreyansh Sancheti <[email protected]>
@laurabeni01
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Thanks for your submission! we're reviewing it and will get back to you with feedback.

@shreyanshjain7174
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Author

Thanks for your submission! we're reviewing it and will get back to you with feedback.

Hey @laurabeni01 any feedback on this one. I had minimal changes.

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2 participants