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I wrote a similar post some time ago just used ollama and opencode https://blog.kulman.sk/running-local-llm-coding-server/
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Ollama is not a good choice - https://sleepingrobots.com/dreams/stop-using-ollama/

As for oprncode, doesn't the system prompt eat too much of the context? Local models are really constraint in regards contex, and opencode AFAIR uses a 10k of it or some thing close.


Ollama seems fine to me, technically. it works. why wouldn't someone use it? Because someone else doesn't like it? if it cost money, I'd pay more attention to the people behind it, but I don't, so I don't.

I wish people would stop wasting their outrage budget on things like this and pay more attention to politics.


Focusing outrage on politics is pointless.

Technical people are rather good at learning new things, and ollama situation is a good learning experience.

llama.cpp gets you more tokens/s even if you ignore ollama team bad behavior.


Did you have any issue with tool calling inside opencode? I tried the same approach, but my models don't see any tool.

No issues with OpenCode and the Qwen models. Some issues with Pi because it uses different tool calling format, but I solved that with an extension.

actually useful and the ollama gui could probably even simplify this more.

this is the way, given anyone could swap for oh my pi / pi / etc

yes, whether for home experiments or at work, it is good practice (good hygiene) to be able to swap out both agentic harnesses and models. It is important to have a good strategy for exporting skills, etc.

yeah, I am using Pi right now, I switched from OpenCode

I'm considering this right now. Is it very difficult to adapt to the new philosophy? Are you running mostly interactive or programmatic?

What do you mean by new philosophy? I use Pi the same way I used gpt or sonnet, just for simpler tasks.



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