Routes chat queries to the most suitable Azure OpenAI model to minimize cost.
npx skills add https://github.com/samelhousseini/microhacks --skill model-router
Please help me install this Agent Skill. Skill: model-router Source: https://github.com/samelhousseini/microhacks/tree/main/.github/skills/model-router Command: npx skills add https://github.com/samelhousseini/microhacks --skill model-router
Building cost-efficient chat applications requires routing user queries to the most suitable underlying Azure OpenAI model, reducing spend while maintaining answer quality.
Install dependencies from requirements.txt, configure Azure credentials, and instantiate the Model Router client. Then call simple_query with example prompts to observe routing decisions and cost reporting.
High-intent search queries and answers about installing and using this skill.
Route chat queries by using a Python client library that evaluates prompt complexity and directs each request to the optimal Azure OpenAI model tier, minimizing spend while maintaining answer quality.
Token usage tracking logs token counts and per-request costs for transparency. The router returns the underlying model used for each request and provides routing analytics for custom backends.
Yes, you can integrate the Python client library into a customer support chatbot to route simple FAQs to nano or mini models and complex queries to higher-tier deployments, achieving significant savings.
Available routing modes include balanced, cost, and quality. These modes allow you to prioritize between overall balance, maximum cost reduction, or higher answer quality when routing chat queries.
Yes, the openai package is a required dependency. You must install dependencies from requirements.txt, configure Azure credentials, and instantiate the Model Router client to observe routing decisions.
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