How you deal with LSP? One of the best things in OpenCode is LSP integration.

the_mitsuhiko a day ago | parent | next [-]

> How you deal with LSP? One of the best things in OpenCode is LSP integration.

I would love to learn how LSP helps you. I did various basic evals with LSP and I did not find it to improve the agent performance at all. Maybe on newer models this gets better because they are now RLing with LSP in the context, but at least in the past having a commit hook that runs lints and typecheck at the end, is more token efficient than having every edit be injected extra LSP results. You are almost guaranteed to be wasting tokens since partial edits are unlikely going to result in type checks passing.

(Disclaimer: I work on Pi)

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lkjdsklf a day ago | parent | next [-]

lsp integration isn't for checks like that.

It's for using lsp to do things like symbol renames. It's cheaper to call an LSP server to do those kind of simple refactors than to spend tokens on the model doing it.

It can also use LSP to build context without having to grep around a ton. You don't have to grep and hten pull lines and make guesses for a function. You just ask the LSP for it.

How helpful all that is is heavily dependent on the quality of the language server so usefulness is varies wildly between languages

	▲	the_mitsuhiko a day ago \| parent \| next [-]
		> It's for using lsp to do things like symbol renames. It's cheaper to call an LSP server to do those kind of simple refactors than to spend tokens on the model doing it. Is OpenCode pushing the LLM into doing these refactors via LSP? I found that making these refactors with ast-grep is quite efficient. > It can also use LSP to build context without having to grep around a ton. You don't have to grep and hten pull lines and make guesses for a function. You just ask the LSP for it. I guess I was not particularly successful with having the agent actually do that. I think what fff is attempting to do (with fuzzy expansion of slightly inaccurate greps) results in better results to me, but even that is debatable. To be fair, we do not have evals for this today, but we're generally looking into token efficiency and how likely models are at using tools the right way, and we did not find a ton of evidence of LSP helping, even for finding data. But I would love to see some sessions from people where they have success with LSP data for either refactoring or looking up, because this would be super useful to better understand out blind spots.
	▲	Jcampuzano2 a day ago \| parent \| prev [-]
		To be fair in every harness I've ever used that has LSP support, they never actually utilize the LSP for more deterministic refactoring tools. And even then when I do enable the LSP in many harnesses oftentimes it doesn't even use it at all. Maybe they haven't been taught to do so or it's not integrated into the system prompt or the tools but all of them only ever use the LSP to read files/symbols. Every harness I've used will happily just call the edit tool over and over or do a find and replace via sed or programatically call a python/perl script rather than rename a symbol via other means.

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mosura a day ago | parent | prev [-]

LSP helps massively with some models.

It sounds a lot like you are focused on using Pi as a OpenAI/Anthropic wrapper when that isn’t your audience. (Hint: raw token usage is less of a concern).

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resonious a day ago | parent | prev | next [-]

Oh My Pi has it. I'm a big OMP shill right now. Seems not very popular, but it has the stability of Pi with the features Opencode (and more I think; OMP has web browsing and a more advanced edit system too). OMP often outperforms Claude Code and Codex for me.

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638d127673 a day ago | parent | prev | next [-]

I haven't tried it myself but there seems to be an extension for this: https://pi.dev/packages/pi-lsp

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melodyogonna a day ago | parent | prev | next [-]

I disliked OpenCode's LSP integration, as Pyright kept distracting the model from what I wanted done in a Django project. I prefer to run MyPy at my own convenience

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lkjdsklf a day ago | parent | prev [-]

I use a forked version of the pi-lsp. It works pretty well out of the box, but I just tend to fork extensions by default and then hack them up how i see fit.