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PyInferenceManager
AutoOptimize LLM workloads across local and cloud models
2 followers
AutoOptimize LLM workloads across local and cloud models
2 followers
Unlike routing libraries (LiteLLM, OpenRouter), PyInferenceManager is a workload orchestrator: Decomposes tasks into execution DAGs (multi-step workflows) Routes subtasks intelligently to local models, cloud APIs, caches, embedding models Optimizes automatically for cost (30-90% savings), latency, privacy, accuracy Adapts dynamically based on real-time provider performance and health Never exposes models to users — developers describe tasks, system picks engines
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