yes. the ollama adapter targets the ollama daemon (or any openai-compatible local endpoint), so you can route every task through a locally hosted model with zero outbound api calls. mix local and cloud in the same plan: cheap, low-stakes tasks on a local llama or qwen, harder tasks on a paid model. configure under agents: in bernstein.yaml with the endpoint url and model name. ollama adapter source: src/bernstein/adapters/ollama.py. the clm adapter (sovereign llm gateway) is the production-grade variant for teams running mtls-fronted internal endpoints.
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