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hejny
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…or handling and resource management - Added EffectPipelineExecutor class for executing pipelines with validation, tool acquisition, and error handling. - Introduced custom error types for better error reporting. - Implemented concurrent execution of multiple pipelines with controlled concurrency. - Added retry policies with exponential backoff for pipeline execution. feat: Enhance LLM Provider with circuit breaker, rate limiting, and robust error handling - Created EffectLlmProvider class to manage LLM calls with circuit breaker and rate limiting. - Implemented error handling for various failure modes including rate limits and model unavailability. - Added batch processing capabilities for multiple LLM calls with concurrency control. feat: Develop Effect.js-enhanced Remote Server with health monitoring and graceful shutdown - Introduced EffectRemoteServer class for managing remote server operations with structured concurrency. - Implemented connection pooling, request metrics, and health checks. - Added graceful shutdown handling for active requests and fibers. - Included rate limiting per client to manage request load effectively.
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Integrate Effect.js via via Cline. This is more about demonstrating the capabilities of LLMs on complex codebases than about the feature itself. We discussed it in episode #17 of the AI at Krajta podcast with @BleedingDev, @JorgeSquared and Matyas.
The prompt to Cline:
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