added plugin-config

nvim-config/lua/plugins/minuet-ai.lua

@@ -0,0 +1,122 @@
+local function get_text_fn(json)
+  return json.response
+end
+
+return {
+  {
+    "milanglacier/minuet-ai.nvim",
+    config = function()
+      require("minuet").setup({
+        virtualtext = {
+          auto_trigger_ft = {},
+          keymap = {
+            -- accept whole completion
+            accept = "<A-A>",
+            -- accept one line
+            accept_line = "<A-a>",
+            -- accept n lines (prompts for number)
+            -- e.g. "A-z 2 CR" will accept 2 lines
+            accept_n_lines = "<A-z>",
+            -- Cycle to prev completion item, or manually invoke completion
+            prev = "<A-[>",
+            -- Cycle to next completion item, or manually invoke completion
+            next = "<A-]>",
+            dismiss = "<A-e>",
+          },
+        },
+        provider = "openai_fim_compatible",
+        -- the maximum total characters of the context before and after the cursor
+        -- 16000 characters typically equate to approximately 4,000 tokens for
+        -- LLMs.
+        context_window = 4000,
+        -- when the total characters exceed the context window, the ratio of
+        -- context before cursor and after cursor, the larger the ratio the more
+        -- context before cursor will be used. This option should be between 0 and
+        -- 1, context_ratio = 0.75 means the ratio will be 3:1.
+        context_ratio = 0.75,
+        throttle = 0, -- only send the request every x milliseconds, use 0 to disable throttle.
+        -- debounce the request in x milliseconds, set to 0 to disable debounce
+        debounce = 100,
+        -- Control notification display for request status
+        -- Notification options:
+        -- false: Disable all notifications (use boolean false, not string "false")
+        -- "debug": Display all notifications (comprehensive debugging)
+        -- "verbose": Display most notifications
+        -- "warn": Display warnings and errors only
+        -- "error": Display errors only
+        notify = "warn",
+        -- The request timeout, measured in seconds. When streaming is enabled
+        -- (stream = true), setting a shorter request_timeout allows for faster
+        -- retrieval of completion items, albeit potentially incomplete.
+        -- Conversely, with streaming disabled (stream = false), a timeout
+        -- occurring before the LLM returns results will yield no completion items.
+        request_timeout = 10,
+        -- If completion item has multiple lines, create another completion item
+        -- only containing its first line. This option only has impact for cmp and
+        -- blink. For virtualtext, no single line entry will be added.
+        add_single_line_entry = true,
+        -- The number of completion items encoded as part of the prompt for the
+        -- chat LLM. For FIM model, this is the number of requests to send. It's
+        -- important to note that when 'add_single_line_entry' is set to true, the
+        -- actual number of returned items may exceed this value. Additionally, the
+        -- LLM cannot guarantee the exact number of completion items specified, as
+        -- this parameter serves only as a prompt guideline.
+        n_completions = 3,
+        -- Defines the length of non-whitespace context after the cursor used to
+        -- filter completion text. Set to 0 to disable filtering.
+        --
+        -- Example: With after_cursor_filter_length = 3 and context:
+        --
+        -- "def fib(n):\n|\n\nfib(5)" (where | represents cursor position),
+        --
+        -- if the completion text contains "fib", then "fib" and subsequent text
+        -- will be removed. This setting filters repeated text generated by the
+        -- LLM. A large value (e.g., 15) is recommended to avoid false positives.
+        after_cursor_filter_length = 15,
+        -- proxy port to use
+        proxy = nil,
+        provider_options = {
+          openai_compatible = {
+            api_key = "TERM",
+            name = "Ollama",
+            end_point = "http://gpu.dighist.geschichte.hu-berlin.de:11434/api/generate",
+            model = "granite3.3-fim:8b",
+            optional = {
+              max_tokens = 512,
+              top_p = 0.9,
+            },
+          },
+          openai_fim_compatible = {
+            api_key = "TERM",
+            name = "Ollama",
+            end_point = "http://gpu.dighist.geschichte.hu-berlin.de:11434/api/generate",
+            model = "granite3.3-fim:8b",
+            stream = true,
+            optional = {
+              max_tokens = 512,
+              top_p = 0.9,
+            },
+            get_text_fn = {
+              no_stream = function(json)
+                return json.response
+              end,
+              stream = function(json)
+                return json.response
+              end,
+            },
+            template = {
+              suffix = function(context_before_cursor, context_after_cursor)
+                return "<fim_prefix>"
+                  .. context_before_cursor
+                  .. "<fim_suffix>"
+                  .. context_after_cursor
+                  .. "<fim_middle>"
+              end,
+            },
+          },
+        },
+      })
+    end,
+  },
+  { "nvim-lua/plenary.nvim" },
+}