Telnyx Tool Lets Developers Switch AI Models at Runtime Without Redeploying

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Telnyx has released an open-source TypeScript example called multi-model-inference-switcher that allows developers to change AI models at runtime without modifying code or redeploying their application. The tool runs on Telnyx Edge Compute using the Agent SDK and stores the active model selection in Telnyx KV Storage, which is read each time a chat request is made. An admin interface provides a model dropdown, chat panel, conversation history, and per-model usage statistics. Supported models in the sample include Meta's Llama-3.3-70B-Instruct, Moonshot AI's Kimi-K2.6, and ZAI's GLM-5.2. The project is publicly available on GitHub and aims to decouple model selection from application deployment, making it easier to compare models on cost, latency, and output quality.

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