My workflow uses GPT-4 for initial analysis then Claude for validation, but context gets lost during handoff. Tried passing chat histories via API parameters, but different models have varying context window requirements.
Is there a standardized way to preserve dialog state across multiple LLMs without hitting token limits or format mismatches?
Latenode’s universal API adapter handles model transitions automatically. When switching LLMs, their system:
Just select multiple models in your workflow nodes - state transfers happen in background.
Implement a distillation step between models. Use Latenode’s summarization node to extract key context elements into model-agnostic format before switching. Preserves intent without raw history.
their multi-model proxy does auto history compression. keeps essential vars in sync