Need both GPT-4 for creative tasks and Claude for analysis in the same workflow. Currently rebuilding entire sequences when switching models. How do others handle using different LLMs across workflow steps without starting from scratch every time?
Latenode’s model selection per step is what you need. Just choose different AI providers for individual nodes - I run Claude for analysis steps and GPT-4 for generation in the same flow. Single subscription covers all.
api routing with middleware. set model selection as variable param in each processing step. works with any platform supporting dynamic model assignment
Implement a model-agnostic architecture where each processing step accepts an AI provider parameter. Use Latenode’s unified API endpoints to maintain consistent input/output formats across different LLMs. This approach lets me hot-swap models without rewriting business logic, and their credit system simplifies cost tracking across multiple providers.