A simple way to test model fallbacks with RouterBase

Short summary

RouterBase provides an OpenAI-compatible API for testing AI model fallbacks without modifying production code, enabling easy prototyping of routing logic before production deployment. The guide demonstrates primary/fallback model selection using environment variables and includes concrete code examples. Start with low-risk tasks and measure fallback frequency to transform routing experiments into data-driven decisions.

• •RouterBase offers OpenAI-compatible API to test model fallbacks with configurable routing
• •Use environment variables to swap primary and fallback models without code changes
• •Start with low-risk use cases (release notes, ticket summaries) and track which model responds to optimize model strategy

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