Deploying Local LLM Agents with Custom Function Calling and Tool Execution

Running local open-weights models (like Llama 3 or Mistral) with Ollama allows you to build powerful offline agent systems that can execute terminal commands, query local PostgreSQL instances, or parse log files securely.

The key challenge is prompt engineering for rigid JSON schema adherence so the model doesn't hallucinate invalid arguments during function calls. What system prompt structures are working best for your local agents?