implement prefill

lua/kznllm/presets.lua

@@ -24,32 +24,41 @@ M.PROMPT_ARGS_STATE = {
   user_query = nil,
   replace = nil,
   context_files = nil,
+  prefill = nil,
 }
 
 M.NS_ID = api.nvim_create_namespace 'kznllm_ns'
 
 local group = api.nvim_create_augroup('LLM_AutoGroup', { clear = true })
 ---Example implementation of a `make_data_fn` compatible with `kznllm.invoke_llm` for groq spec
 ---@param prompt_args any
----@param opts { model: string, data_params: table, template_directory: Path, debug: boolean }
+---@param opts { model: string, prefill:string, data_params: table, stop_param: table, template_directory: Path, debug: boolean }
 ---@return table
 ---
 local function make_data_for_openai_chat(prompt_args, opts)
-  local data = {
-    messages = {
-      {
-        role = 'system',
-        content = kznllm.make_prompt_from_template(opts.template_directory / 'nous_research/fill_mode_system_prompt.xml.jinja', prompt_args),
-      },
-      {
-        role = 'user',
-        content = kznllm.make_prompt_from_template(opts.template_directory / 'nous_research/fill_mode_user_prompt.xml.jinja', prompt_args),
-      },
+  local messages = {
+    {
+      role = 'system',
+      content = kznllm.make_prompt_from_template(opts.template_directory / 'nous_research/fill_mode_system_prompt.xml.jinja', prompt_args),
+    },
+    {
+      role = 'user',
+      content = kznllm.make_prompt_from_template(opts.template_directory / 'nous_research/fill_mode_user_prompt.xml.jinja', prompt_args),
     },
+  }
+
+  local data = {
+    messages = messages,
     model = opts.model,
     stream = true,
   }
-  data = vim.tbl_extend('keep', data, opts.data_params)
+  if M.PROMPT_ARGS_STATE.replace and opts.prefill and opts.stop_param then
+    table.insert(messages, {
+      role = 'assistant',
+      content = opts.prefill .. prompt_args.current_buffer_filetype .. '\n',
+    })
+  end
+  data = vim.tbl_extend('keep', data, opts.data_params, opts.stop_param or {})
 
   return data
 end
@@ -93,11 +102,14 @@ end
 
 local function openai_debug_fn(data, ns_id, extmark_id, opts)
   kznllm.write_content_at_extmark('model: ' .. opts.model, ns_id, extmark_id)
-  kznllm.write_content_at_extmark('\n\n---\n\n', ns_id, extmark_id)
   for _, message in ipairs(data.messages) do
+    kznllm.write_content_at_extmark('\n\n---\n\n', ns_id, extmark_id)
     kznllm.write_content_at_extmark(message.role .. ':\n\n', ns_id, extmark_id)
     kznllm.write_content_at_extmark(message.content, ns_id, extmark_id)
-    kznllm.write_content_at_extmark('\n\n---\n\n', ns_id, extmark_id)
+
+    if not (M.BUFFER_STATE.SCRATCH and opts.prefill) then
+      kznllm.write_content_at_extmark('\n\n---\n\n', ns_id, extmark_id)
+    end
     vim.cmd 'normal! G'
   end
 end
@@ -134,7 +146,7 @@ end
 ---@param make_data_fn fun(prompt_args: table, opts: table)
 ---@param make_curl_args_fn fun(data: table, opts: table)
 ---@param make_job_fn fun(data: table, writer_fn: fun(content: string), on_exit_fn: fun())
----@param opts { debug: string?, debug_fn: fun(data: table, ns_id: integer, extmark_id: integer, opts: table)?, stop_dir: Path?, context_dir_id: string?, data_params: table }
+---@param opts { debug: string?, debug_fn: fun(data: table, ns_id: integer, extmark_id: integer, opts: table)?, stop_dir: Path?, context_dir_id: string?, data_params: table, prefill: boolean }
 function M.invoke_llm(make_data_fn, make_curl_args_fn, make_job_fn, opts)
   api.nvim_clear_autocmds { group = group }
 
@@ -162,6 +174,7 @@ function M.invoke_llm(make_data_fn, make_curl_args_fn, make_job_fn, opts)
       M.PROMPT_ARGS_STATE.current_buffer_path = buf_path
       M.PROMPT_ARGS_STATE.current_buffer_context = buf_context
     end
+    M.PROMPT_ARGS_STATE.prefill = opts.prefill
 
     local data = make_data_fn(M.PROMPT_ARGS_STATE, opts)
 
@@ -232,6 +245,9 @@ local presets = {
         -- max_tokens = 8192,
         temperature = 0.7,
       },
+      -- doesn't support prefill
+      -- stop_param = { stop = { '```' } },
+      -- prefill = '```',
       debug_fn = openai_debug_fn,
       base_url = 'https://api.groq.com',
       endpoint = '/openai/v1/chat/completions',
@@ -250,6 +266,8 @@ local presets = {
         min_p = 0.05,
         logprobs = 1,
       },
+      stop_param = { stop_token_ids = { 74694 } },
+      prefill = '```',
       debug_fn = openai_debug_fn,
       base_url = 'https://api.lambdalabs.com',
       endpoint = '/v1/chat/completions',

templates/nous_research/fill_mode_user_prompt.xml.jinja

@@ -24,7 +24,11 @@ Code:
 ```
 
 QUERY: {{user_query}}
+{% if prefill -%}
+INSTRUCTION: Replace the code in the block given above. ONLY return the valid code fragment that is requested in the following snippet surrounded by a code fence with backticks. DO NOT output provide anything except the content inside the code fence.
+{%- else -%}
 INSTRUCTION: Replace the code in the block given above. ONLY return the code fragment that is requested in the following snippet WITHOUT backticks. DO NOT surround the code fragment in backticks.
+{%- endif %}
 {%- else -%}
 QUERY: {{user_query}}
 {%- endif -%}