Route LLM requests to the best model for the task at hand.
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Updated
Sep 22, 2025 - Jupyter Notebook
Route LLM requests to the best model for the task at hand.
High-performance lightweight proxy and load balancer for LLM infrastructure. Intelligent routing, automatic failover and unified model discovery across local and remote inference backends.
Unified management and routing for llama.cpp, MLX and vLLM models with web dashboard.
Intelligent routing automatically selects the optimal model (GPT-4/Claude/Llama) for each prompt based on complexity. Production-ready with streaming, caching, and A/B testing.
Local LLM proxy, DevOps friendly
Fully agentic LLM orchestrator with autonomous decision-making. This agentic system self-discovers models, learns from usage, and adapts routing strategies. Save 67% on API costs through intelligent agentic behavior. Production-ready with monitoring and self-healing.
Securing markets of dLLMs (Decentralized LLMs) utilizing cryptographic technologies.
Successfully developed an LLM application that provides AI-powered, structured insights based on user queries. The app features a dynamic response generator with progress indicators, interactive upvote/downvote options, and a clean, engaging user interface built using Streamlit. Ideal for personalized meal, fitness, and health-related advice.
A lightweight AI model router for seamlessly switching between multiple AI providers (OpenAI, Anthropic, Google AI) with unified API interface.
Hybrid LLM router: local+cloud models with meta-routing,memory, FastAPI UI, and FAISS; integrates Ollama and OpenAI.
A dynamic input-based LLM routing AI-agent built with n8n. It selects the most suitable language model based on user queries, and uses the selected model to answer, solve, or address the input accordingly.
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