50
LLM Cost Optimization Engine
UpworkUSNot specifiedintermediate
Amazon SageMakerAWS GlueMachine LearningDeep LearningData ScienceFeature EngineeringPythonFlaskAgile Software DevelopmentArtificial IntelligenceMachine Learning ModelAI Agent DevelopmentRetrieval Augmented GenerationLoRaLLM Prompt
Build a system that sits between applications and multiple AI providers (OpenAI, Bedrock, Anthropic) and automatically chooses the best and cheapest model for each request.
What the system should do (Simple)
Take user prompt as input
Decide which AI model to use (cheap vs powerful)
Send request to that model
Cache repeated prompts to save cost
Track tokens and cost for every request
Show usage and cost in a simple dashboard
Key Features (Keep it minimal)
Smart Routing → choose cheapest suitable model
Caching → avoid paying for same prompt again
Cost Tracking → calculate tokens + dollars
Basic Dashboard → show usage and savings
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