Hybrid Token Efficient Routing Agent

The Hybrid Token-Efficient Routing Agent is a sophisticated API service designed to optimize the usage of Large Language Models (LLMs) by intelligently balancing inference costs with performance. Instead of sending all queries to a single, expensive large model (like Mixtral), this agent acts as a smart gateway. It analyzes incoming requests and dynamically routes them to the most suitable Fireworks AI model. Simple or straightforward queries are directed to faster, cost-effective models (such as LLaMA-v3 8B), while complex reasoning tasks are automatically escalated to larger, more capable models. Key capabilities of the system include: Intelligent Model Routing: Dynamically evaluates query complexity on the fly to choose the best-fitting LLM for the task. Semantic Caching: Integrates seamlessly with Redis to cache previous responses. This prevents redundant API calls for identical or highly similar queries, significantly reducing both latency and token costs. Prompt Optimization: Automatically compresses and refines user prompts to minimize token consumption before sending them to the models. Confidence Fallback Mechanism: Features an automatic self-correction loop. If a smaller model returns a low-confidence or inadequate response, the system automatically detects this and retries the query on a more powerful model to guarantee a high-quality output. Comprehensive Metrics Tracking: Employs a local SQLite database to diligently track and log latency, token consumption, operational costs, and cache hit rates, providing deep observability into the system's efficiency