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Dynamic Routing
Routes prompts based on real-time analysis and context evaluation
In 30 seconds
- What
- Routes each prompt through different processing chains based on real-time analysis of context, content type, and goals.
- When to use
- Handling diverse input types that need fundamentally different processing strategies or when output quality depends on matching approach to situation.
- Watch out
- Routing logic itself becomes a bottleneck; miscategorized inputs silently degrade quality without clear failure signals.
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Dynamic Routing: Overview
Routes prompts based on real-time analysis and context evaluation
- Context-aware decision making
- Real-time path adaptation
- Multi-criteria routing logic
- Dynamic priority adjustment
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References
The papers, specifications, and repositories this pattern is based on.
- RouteLLM: Learning to Route LLMs with Preference Data - Ong et al. (2024)arXiv:2406.18665
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance - Chen et al. (2023)arXiv:2305.05176
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer - Shazeer et al. (2017)arXiv:1701.06538
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