Hardcoded to model1?

[fredrikaverpil]

Is it possible that the desired model is hardcoded to model1?

I've got this config:

return {
  {
    "SuperBo/lsp-ai.nvim",
    dependencies = { "neovim/nvim-lspconfig" },
    opts = {
      autostart = true,
      server = {
        memory = {
          file_store = {},
        },
        models = {
          llama_cpp = {
            type = "llama_cpp",
            file_path = vim.fn.expand("~/code/public/CodeQwen1.5-7B-Chat-GGUF/codeqwen-1_5-7b-chat-q4_k_m.gguf"),
            n_ctx = 1024 * 4,
            n_gpu_layers = 500,
          },
          ollama = {
            type = "ollama",
            model = "llama3",
          },
        },
      },
      completion = {
        model = "ollama",
        parameters = {
          messages = {
            {
              role = "system",
              content = "You are a programming completion tool. Replace <CURSOR> with the correct code.",
            },
            {
              role = "user",
              content = "{CODE}",
            },
          },
        },
        max_context_size = 1024 * 4,
      },
    },
    config = function(_, opts)
      require("lsp_ai").setup(opts)
    end,
  },
}

And I get this error:

   Error  16:06:45 notify.error [LSP-AI] can't find model: model1

If I instead rename e.g. the ollama key into model1, I don't get the error and the completion works:

return {
  {
    "SuperBo/lsp-ai.nvim",
    dependencies = { "neovim/nvim-lspconfig" },
    opts = {
      autostart = true,
      server = {
        memory = {
          file_store = {},
        },
        models = {
          llama_cpp = {
            type = "llama_cpp",
            file_path = vim.fn.expand("~/code/public/CodeQwen1.5-7B-Chat-GGUF/codeqwen-1_5-7b-chat-q4_k_m.gguf"),
            n_ctx = 1024 * 4,
            n_gpu_layers = 500,
          },
-           ollama = {
+           model1 = {
            type = "ollama",
            model = "llama3",
          },
        },
      },
      completion = {
-         model = "ollama",
+         model = "model1",
        parameters = {
          messages = {
            {
              role = "system",
              content = "You are a programming completion tool. Replace <CURSOR> with the correct code.",
            },
            {
              role = "user",
              content = "{CODE}",
            },
          },
        },
        max_context_size = 1024 * 4,
      },
    },
    config = function(_, opts)
      require("lsp_ai").setup(opts)
    end,
  },
}