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SEMANTIC ROUTER
Superfast semantic routing layer for LLM agents and tools
MIT
ABOUT
LLM agents making tool-use decisions via generation calls introduces high latency (500ms+) and unpredictable costs. Semantic Router replaces this with a vector-based routing layer that classifies inputs and selects the appropriate route in under 10ms, dramatically reducing latency and cost for AI applications that need to make frequent routing decisions.
INSTALL
pip install semantic-routerINTEGRATION GUIDE
1. Route user queries to the correct LLM or tool based on semantic intent instead of slow LLM-generated function calls
2. Build dynamic chatbot flows where the conversation path is determined by semantic similarity to predefined routes
3. Implement multi-modal routing that handles text, images, and other inputs through the same decision layer
4. Reduce AI application latency by replacing LLM-based routing decisions with millisecond vector comparisons
5. Create hybrid routes that combine semantic routing with keyword and LLM fallback for robust decision making
TAGS
routingllmagentssemantic-searchintent-classificationai-decisionpython