reasoning-models

Multi-provider AI reasoning configuration uses a centralized registry to translate reasoning settings into provider-specific options. You define a unified reasoning config that handles varying levels, budgets, and middleware triggers across different models.

A reasoning registry is a central component that manages provider-specific handlers for AI model orchestration. It translates unified reasoning configurations into individual provider options, enabling complex decision workflows across OpenAI, Anthropic, and Google.

Reasoning budgets and thinking levels are configured using a discriminated union configuration. This allows you to specify varying reasoning efforts and middleware triggers that automatically adapt to the capabilities and constraints of each AI provider.

Yes, a unified reasoning configuration standardizes settings across Google, OpenAI, and Anthropic. Provider-specific handlers within the registry translate these shared reasoning parameters into the distinct options required by each model API.

Middleware triggers are activated by defining reasoning efforts within your configuration. The reasoning registry then translates these settings into the appropriate provider options or middleware calls needed to execute complex decision workflows.

Orchestrating models with varying costs requires a unified reasoning configuration and a central registry. This approach applies provider-specific tuning for thinking levels and budgets, streamlining complex decision workflows across different AI providers.