Build Agent with Ollama locally, or is there a better approach?

[trevorstr]

I am using MacOS, and installed Ollama locally. My objective is to develop an Agent using Langchain, that can take actions on inputs from LLM conversations, and execute various scripts or one-off shell commands.

I asked https://chat.langchain.com about this, and it responded with the following:

For agents, LangChain provides an experimental OllamaFunctions wrapper that gives Ollama the same API as OpenAI Functions. This allows you to:
- Bind functions defined with JSON Schema parameters to the model 3
- Call those functions and get JSON output matching the schema 3
- Use this for structured data extraction or other tasks 3

https://python.langchain.com/docs/integrations/chat/ollama_functions

Is this the best way of developing a custom Agent, without using a managed service for LLM? Or is there another mechanism I should be considering?

Under the Agent Types documentation, I don't see any references to Ollama. Perhaps that's because Ollama Functions are an Agent Type that is still experimental, and hasn't been incorporated into the release documentation?