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I tried helix + gemini with this project, here is where I landed helix.toml
[language-server.lsp-ai] command = "/home/mrcool/Downloads/lsp-ai-x86_64-unknown-linux-gnu" [language-server.lsp-ai.config.memory] file_store = { } [language-server.lsp-ai.config.models.gemini2] type = "gemini" completions_endpoint = "https://generativelanguage.googleapis.com/v1beta/models/" chat_endpoint = "https://generativelanguage.googleapis.com/v1beta/models/" model = "gemini-2.0-flash-exp" auth_token_env_var_name = "GOOGLE_API_KEY" [language-server.lsp-ai.config.completion] model = "gemini2" parameters = {contents = [{role = "user", parts = [{text = "{CONTEXT} and {CODE}"}]}], systemInstruction = {role = "system", parts = [{text = "You're giving the user input completion for code in his editor"}]}}
Almost works but the output needs some polishing
Also its slow, maybe gemini is not suited for completion, is adding supermaven support possible ? since its the fastest in completion
Gemini/Supermaven/Copilot are free so maybe its a good idea to make using them more straight forward
The text was updated successfully, but these errors were encountered:
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I tried helix + gemini with this project, here is where I landed
helix.toml
Almost works but the output needs some polishing
Screencast.From.2025-01-05.08-38-28.mp4
Also its slow, maybe gemini is not suited for completion, is adding supermaven support possible ? since its the fastest in completion
Gemini/Supermaven/Copilot are free so maybe its a good idea to make using them more straight forward
The text was updated successfully, but these errors were encountered: