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Hasan posted an update
🚀 Introducing the LLM Router in SimplerLLM: Intelligent Content Routing for AI Applications 🚀
I’m excited to share a powerful new addition to SimplerLLM: the LLM Router!
This feature enables intelligent content routing using Large Language Models to select the most appropriate choice from a collection based on input text.
🤔 What is the LLM Router?
The LLM Router is a flexible system that leverages the reasoning capabilities of LLMs to make intelligent routing decisions. It evaluates input text against a collection of choices and selects the best match based on relevance and context.✨ Key Features:
✅ Confidence Scoring: Each routing decision includes a confidence score, allowing you to set thresholds for high-quality matches
✅ Detailed Reasoning: Get explanations for why specific choices were selected
✅ Batching Support: Efficiently handle large sets of choices with automatic batching
✅ Top-K Selection: Return multiple matches ranked by confidence
✅ Custom Prompting: Tailor the routing logic with custom prompt templates
✅ Metadata Support: Attach and retrieve metadata with each choice💡 Powerful Use Cases:
1️⃣ Dynamic Content Personalization
Route users to different content templates based on their input or profile. Perfect for creating personalized marketing messages, product recommendations, or user experiences.2️⃣ Intelligent Customer Support
Automatically route customer queries to the most appropriate response templates or support departments based on the content and context of their questions.3️⃣ Multi-Agent Orchestration
Select the most suitable specialized agent from a collection based on user requests, creating more efficient and effective AI assistant systems.4️⃣ Smart Documentation Navigation
Help users find the most relevant documentation sections based on their questions, significantly improving self-service support.5️⃣ Context-Aware Decision Trees
Build sophisticated decision trees where the next step is determined by understanding the semantic meaning of user inputs rather than rigid keyword matching.