" vim: ts=4 sts=4 expandtab " colors (adjust to your liking) highlight default llama_hl_hint guifg=#ff772f ctermfg=202 highlight default llama_hl_info guifg=#77ff2f ctermfg=119 " general parameters: " " endpoint: llama.cpp server endpoint " api_key: llama.cpp server api key (optional) " n_prefix: number of lines before the cursor location to include in the local prefix " n_suffix: number of lines after the cursor location to include in the local suffix " n_predict: max number of tokens to predict " stop_strings return the result immediately as soon as any of these strings are encountered in the generated text " t_max_prompt_ms: max alloted time for the prompt processing (TODO: not yet supported) " t_max_predict_ms: max alloted time for the prediction " show_info: show extra info about the inference (0 - disabled, 1 - statusline, 2 - inline) " auto_fim: trigger FIM completion automatically on cursor movement " max_line_suffix: do not auto-trigger FIM completion if there are more than this number of characters to the right of the cursor " max_cache_keys: max number of cached completions to keep in result_cache " " ring buffer of chunks, accumulated with time upon: " " - completion request " - yank " - entering a buffer " - leaving a buffer " - writing a file " " parameters for the ring-buffer with extra context: " " ring_n_chunks: max number of chunks to pass as extra context to the server (0 to disable) " ring_chunk_size: max size of the chunks (in number of lines) " note: adjust these numbers so that you don't overrun your context " at ring_n_chunks = 64 and ring_chunk_size = 64 you need ~32k context " ring_scope: the range around the cursor position (in number of lines) for gathering chunks after FIM " ring_update_ms: how often to process queued chunks in normal mode " " keymaps parameters: " " keymap_trigger: keymap to trigger the completion, default: " keymap_accept_full: keymap to accept full suggestion, default: " keymap_accept_line: keymap to accept line suggestion, default: " keymap_accept_word: keymap to accept word suggestion, default: " let s:default_config = { \ 'endpoint': 'http://127.0.0.1:8012/infill', \ 'api_key': '', \ 'n_prefix': 256, \ 'n_suffix': 64, \ 'n_predict': 128, \ 'stop_strings': [], \ 't_max_prompt_ms': 500, \ 't_max_predict_ms': 1000, \ 'show_info': 2, \ 'auto_fim': v:true, \ 'max_line_suffix': 8, \ 'max_cache_keys': 250, \ 'ring_n_chunks': 16, \ 'ring_chunk_size': 64, \ 'ring_scope': 1024, \ 'ring_update_ms': 1000, \ 'keymap_trigger': "", \ 'keymap_accept_full': "", \ 'keymap_accept_line': "", \ 'keymap_accept_word': "", \ } let llama_config = get(g:, 'llama_config', s:default_config) let g:llama_config = extendnew(s:default_config, llama_config, 'force') let s:llama_enabled = v:true " containes cached responses from the server " used to avoid re-computing the same completions and to also create new completions with similar context " ref: https://github.com/ggml-org/llama.vim/pull/18 let g:cache_data = {} " TODO: Currently the cache uses a random eviction policy. A more clever policy could be implemented (eg. LRU). function! s:cache_insert(key, value) if len(keys(g:cache_data)) > (g:llama_config.max_cache_keys - 1) let l:keys = keys(g:cache_data) let l:hash = l:keys[rand() % len(l:keys)] call remove(g:cache_data, l:hash) endif let g:cache_data[a:key] = a:value endfunction " get the number of leading spaces of a string function! s:get_indent(str) let l:count = 0 for i in range(len(a:str)) if a:str[i] == "\t" let l:count += &tabstop - 1 else break endif endfor return l:count endfunction function! s:rand(i0, i1) abort return a:i0 + rand() % (a:i1 - a:i0 + 1) endfunction function! llama#disable() call llama#fim_hide() autocmd! llama exe "silent! iunmap " .. g:llama_config.keymap_trigger endfunction function! llama#toggle() if s:llama_enabled call llama#disable() else call llama#init() endif let s:llama_enabled = !s:llama_enabled endfunction function llama#setup_commands() command! LlamaEnable call llama#init() command! LlamaDisable call llama#disable() command! LlamaToggle call llama#toggle() endfunction function! llama#init() if !executable('curl') echohl WarningMsg echo 'llama.vim requires the "curl" command to be available' echohl None return endif call llama#setup_commands() let s:fim_data = {} let s:ring_chunks = [] " current set of chunks used as extra context let s:ring_queued = [] " chunks that are queued to be sent for processing let s:ring_n_evict = 0 let s:hint_shown = v:false let s:pos_y_pick = -9999 " last y where we picked a chunk let s:indent_last = -1 " last indentation level that was accepted (TODO: this might be buggy) let s:timer_fim = -1 let s:t_last_move = reltime() " last time the cursor moved let s:current_job = v:null let s:ghost_text_nvim = exists('*nvim_buf_get_mark') let s:ghost_text_vim = has('textprop') if s:ghost_text_vim if version < 901 echom 'Warning: llama.vim requires version 901 or greater. Current version: ' . version endif let s:hlgroup_hint = 'llama_hl_hint' let s:hlgroup_info = 'llama_hl_info' if empty(prop_type_get(s:hlgroup_hint)) call prop_type_add(s:hlgroup_hint, {'highlight': s:hlgroup_hint}) endif if empty(prop_type_get(s:hlgroup_info)) call prop_type_add(s:hlgroup_info, {'highlight': s:hlgroup_info}) endif endif augroup llama autocmd! exe "autocmd InsertEnter * inoremap " .. g:llama_config.keymap_trigger .. " llama#fim_inline(v:false, v:false)" autocmd InsertLeavePre * call llama#fim_hide() autocmd CursorMoved * call s:on_move() autocmd CursorMovedI * call s:on_move() autocmd CompleteChanged * call llama#fim_hide() autocmd CompleteDone * call s:on_move() if g:llama_config.auto_fim autocmd CursorMovedI * call llama#fim(-1, -1, v:true, [], v:true) endif " gather chunks upon yanking autocmd TextYankPost * if v:event.operator ==# 'y' | call s:pick_chunk(v:event.regcontents, v:false, v:true) | endif " gather chunks upon entering/leaving a buffer autocmd BufEnter * call timer_start(100, {-> s:pick_chunk(getline(max([1, line('.') - g:llama_config.ring_chunk_size/2]), min([line('.') + g:llama_config.ring_chunk_size/2, line('$')])), v:true, v:true)}) autocmd BufLeave * call s:pick_chunk(getline(max([1, line('.') - g:llama_config.ring_chunk_size/2]), min([line('.') + g:llama_config.ring_chunk_size/2, line('$')])), v:true, v:true) " gather chunk upon saving the file autocmd BufWritePost * call s:pick_chunk(getline(max([1, line('.') - g:llama_config.ring_chunk_size/2]), min([line('.') + g:llama_config.ring_chunk_size/2, line('$')])), v:true, v:true) augroup END silent! call llama#fim_hide() " init background update of the ring buffer if g:llama_config.ring_n_chunks > 0 call s:ring_update() endif endfunction " compute how similar two chunks of text are " 0 - no similarity, 1 - high similarity " TODO: figure out something better function! s:chunk_sim(c0, c1) let l:lines0 = len(a:c0) let l:lines1 = len(a:c1) let l:common = 0 for l:line0 in a:c0 for l:line1 in a:c1 if l:line0 == l:line1 let l:common += 1 break endif endfor endfor return 2.0 * l:common / (l:lines0 + l:lines1) endfunction " pick a random chunk of size g:llama_config.ring_chunk_size from the provided text and queue it for processing " " no_mod - do not pick chunks from buffers with pending changes " do_evict - evict chunks that are very similar to the new one " function! s:pick_chunk(text, no_mod, do_evict) " do not pick chunks from buffers with pending changes or buffers that are not files if a:no_mod && (getbufvar(bufnr('%'), '&modified') || !buflisted(bufnr('%')) || !filereadable(expand('%'))) return endif " if the extra context option is disabled - do nothing if g:llama_config.ring_n_chunks <= 0 return endif " don't pick very small chunks if len(a:text) < 3 return endif if len(a:text) + 1 < g:llama_config.ring_chunk_size let l:chunk = a:text else let l:l0 = s:rand(0, max([0, len(a:text) - g:llama_config.ring_chunk_size/2])) let l:l1 = min([l:l0 + g:llama_config.ring_chunk_size/2, len(a:text)]) let l:chunk = a:text[l:l0:l:l1] endif let l:chunk_str = join(l:chunk, "\n") . "\n" " check if this chunk is already added let l:exist = v:false for i in range(len(s:ring_chunks)) if s:ring_chunks[i].data == l:chunk let l:exist = v:true break endif endfor for i in range(len(s:ring_queued)) if s:ring_queued[i].data == l:chunk let l:exist = v:true break endif endfor if l:exist return endif " evict queued chunks that are very similar to the new one for i in range(len(s:ring_queued) - 1, 0, -1) if s:chunk_sim(s:ring_queued[i].data, l:chunk) > 0.9 if a:do_evict call remove(s:ring_queued, i) let s:ring_n_evict += 1 else return endif endif endfor " also from s:ring_chunks for i in range(len(s:ring_chunks) - 1, 0, -1) if s:chunk_sim(s:ring_chunks[i].data, l:chunk) > 0.9 if a:do_evict call remove(s:ring_chunks, i) let s:ring_n_evict += 1 else return endif endif endfor " TODO: become parameter ? if len(s:ring_queued) == 16 call remove(s:ring_queued, 0) endif call add(s:ring_queued, {'data': l:chunk, 'str': l:chunk_str, 'time': reltime(), 'filename': expand('%')}) "let &statusline = 'extra context: ' . len(s:ring_chunks) . ' / ' . len(s:ring_queued) endfunction " picks a queued chunk, sends it for processing and adds it to s:ring_chunks " called every g:llama_config.ring_update_ms function! s:ring_update() call timer_start(g:llama_config.ring_update_ms, {-> s:ring_update()}) " update only if in normal mode or if the cursor hasn't moved for a while if mode() !=# 'n' && reltimefloat(reltime(s:t_last_move)) < 3.0 return endif if len(s:ring_queued) == 0 return endif " move the first queued chunk to the ring buffer if len(s:ring_chunks) == g:llama_config.ring_n_chunks call remove(s:ring_chunks, 0) endif call add(s:ring_chunks, remove(s:ring_queued, 0)) "let &statusline = 'updated context: ' . len(s:ring_chunks) . ' / ' . len(s:ring_queued) " send asynchronous job with the new extra context so that it is ready for the next FIM let l:extra_context = [] for l:chunk in s:ring_chunks call add(l:extra_context, { \ 'text': l:chunk.str, \ 'time': l:chunk.time, \ 'filename': l:chunk.filename \ }) endfor " no samplers needed here let l:request = json_encode({ \ 'input_prefix': "", \ 'input_suffix': "", \ 'input_extra': l:extra_context, \ 'prompt': "", \ 'n_predict': 0, \ 'temperature': 0.0, \ 'stream': v:false, \ 'samplers': [], \ 'cache_prompt': v:true, \ 't_max_prompt_ms': 1, \ 't_max_predict_ms': 1, \ 'response_fields': [""] \ }) let l:curl_command = [ \ "curl", \ "--silent", \ "--no-buffer", \ "--request", "POST", \ "--url", g:llama_config.endpoint, \ "--header", "Content-Type: application/json", \ "--data", "@-", \ ] if exists ("g:llama_config.api_key") && len("g:llama_config.api_key") > 0 call extend(l:curl_command, ['--header', 'Authorization: Bearer ' .. g:llama_config.api_key]) endif " no callbacks because we don't need to process the response if s:ghost_text_nvim let jobid = jobstart(l:curl_command, {}) call chansend(jobid, l:request) call chanclose(jobid, 'stdin') elseif s:ghost_text_vim let jobid = job_start(l:curl_command, {}) let channel = job_getchannel(jobid) call ch_sendraw(channel, l:request) call ch_close_in(channel) endif endfunction " get the local context at a specified position " a:prev can optionally contain a previous completion for this position " in such cases, create the local context as if the completion was already inserted function! s:fim_ctx_local(pos_x, pos_y, prev) let l:max_y = line('$') if empty(a:prev) let l:line_cur = getline(a:pos_y) let l:line_cur_prefix = strpart(l:line_cur, 0, a:pos_x) let l:line_cur_suffix = strpart(l:line_cur, a:pos_x) let l:lines_prefix = getline(max([1, a:pos_y - g:llama_config.n_prefix]), a:pos_y - 1) let l:lines_suffix = getline(a:pos_y + 1, min([l:max_y, a:pos_y + g:llama_config.n_suffix])) " special handling of lines full of whitespaces - start from the beginning of the line if match(l:line_cur, '^\s*$') >= 0 let l:indent = 0 let l:line_cur_prefix = "" let l:line_cur_suffix = "" else " the indentation of the current line let l:indent = strlen(matchstr(l:line_cur, '^\s*')) endif else if len(a:prev) == 1 let l:line_cur = getline(a:pos_y) . a:prev[0] else let l:line_cur = a:prev[-1] endif let l:line_cur_prefix = l:line_cur let l:line_cur_suffix = "" let l:lines_prefix = getline(max([1, a:pos_y - g:llama_config.n_prefix + len(a:prev) - 1]), a:pos_y - 1) if len(a:prev) > 1 call add(l:lines_prefix, getline(a:pos_y) . a:prev[0]) for l:line in a:prev[1:-2] call add(l:lines_prefix, l:line) endfor endif let l:lines_suffix = getline(a:pos_y + 1, min([l:max_y, a:pos_y + g:llama_config.n_suffix])) let l:indent = s:indent_last endif let l:prefix = "" \ . join(l:lines_prefix, "\n") \ . "\n" let l:middle = "" \ . l:line_cur_prefix let l:suffix = "" \ . l:line_cur_suffix \ . "\n" \ . join(l:lines_suffix, "\n") \ . "\n" let l:res = {} let l:res['prefix'] = l:prefix let l:res['middle'] = l:middle let l:res['suffix'] = l:suffix let l:res['indent'] = l:indent let l:res['line_cur'] = l:line_cur let l:res['line_cur_prefix'] = l:line_cur_prefix let l:res['line_cur_suffix'] = l:line_cur_suffix return l:res endfunction " necessary for 'inoremap ' function! llama#fim_inline(is_auto, use_cache) abort " we already have a suggestion displayed - hide it if s:hint_shown && !a:is_auto call llama#fim_hide() return '' endif call llama#fim(-1, -1, a:is_auto, [], a:use_cache) return '' endfunction " the main FIM call " takes local context around the cursor and sends it together with the extra context to the server for completion function! llama#fim(pos_x, pos_y, is_auto, prev, use_cache) abort let l:pos_x = a:pos_x let l:pos_y = a:pos_y if l:pos_x < 0 let l:pos_x = col('.') - 1 endif if l:pos_y < 0 let l:pos_y = line('.') endif " avoid sending repeated requests too fast if s:current_job != v:null if s:timer_fim != -1 call timer_stop(s:timer_fim) let s:timer_fim = -1 endif let s:timer_fim = timer_start(100, {-> llama#fim(a:pos_x, a:pos_y, v:true, a:prev, a:use_cache)}) return endif "if s:hint_shown && empty(a:prev) " return "endif "let s:t_fim_start = reltime() let l:ctx_local = s:fim_ctx_local(l:pos_x, l:pos_y, a:prev) let l:prefix = l:ctx_local['prefix'] let l:middle = l:ctx_local['middle'] let l:suffix = l:ctx_local['suffix'] let l:indent = l:ctx_local['indent'] if a:is_auto && len(l:ctx_local['line_cur_suffix']) > g:llama_config.max_line_suffix return endif let l:t_max_predict_ms = g:llama_config.t_max_predict_ms if empty(a:prev) " the first request is quick - we will launch a speculative request after this one is displayed let l:t_max_predict_ms = 250 endif " compute multiple hashes that can be used to generate a completion for which the " first few lines are missing. this happens when we have scrolled down a bit from where the original " generation was done " let l:hashes = [] call add(l:hashes, sha256(l:prefix . l:middle . 'Î' . l:suffix)) let l:prefix_trim = l:prefix for i in range(3) let l:prefix_trim = substitute(l:prefix_trim, '^[^\n]*\n', '', '') if empty(l:prefix_trim) break endif call add(l:hashes, sha256(l:prefix_trim . l:middle . 'Î' . l:suffix)) endfor " if we already have a cached completion for one of the hashes, don't send a request if a:use_cache for l:hash in l:hashes if get(g:cache_data, l:hash, v:null) != v:null return endif endfor endif " TODO: this might be incorrect let s:indent_last = l:indent " TODO: refactor in a function let l:text = getline(max([1, line('.') - g:llama_config.ring_chunk_size/2]), min([line('.') + g:llama_config.ring_chunk_size/2, line('$')])) let l:l0 = s:rand(0, max([0, len(l:text) - g:llama_config.ring_chunk_size/2])) let l:l1 = min([l:l0 + g:llama_config.ring_chunk_size/2, len(l:text)]) let l:chunk = l:text[l:l0:l:l1] " evict chunks that are very similar to the current context " this is needed because such chunks usually distort the completion to repeat what was already there for i in range(len(s:ring_chunks) - 1, 0, -1) if s:chunk_sim(s:ring_chunks[i].data, l:chunk) > 0.5 call remove(s:ring_chunks, i) let s:ring_n_evict += 1 endif endfor " prepare the extra context data let l:extra_ctx = [] for l:chunk in s:ring_chunks call add(l:extra_ctx, { \ 'text': l:chunk.str, \ 'time': l:chunk.time, \ 'filename': l:chunk.filename \ }) endfor let l:request = json_encode({ \ 'input_prefix': l:prefix, \ 'input_suffix': l:suffix, \ 'input_extra': l:extra_ctx, \ 'prompt': l:middle, \ 'n_predict': g:llama_config.n_predict, \ 'stop': g:llama_config.stop_strings, \ 'n_indent': l:indent, \ 'top_k': 40, \ 'top_p': 0.90, \ 'stream': v:false, \ 'samplers': ["top_k", "top_p", "infill"], \ 'cache_prompt': v:true, \ 't_max_prompt_ms': g:llama_config.t_max_prompt_ms, \ 't_max_predict_ms': l:t_max_predict_ms, \ 'response_fields': [ \ "content", \ "timings/prompt_n", \ "timings/prompt_ms", \ "timings/prompt_per_token_ms", \ "timings/prompt_per_second", \ "timings/predicted_n", \ "timings/predicted_ms", \ "timings/predicted_per_token_ms", \ "timings/predicted_per_second", \ "truncated", \ "tokens_cached", \ ], \ }) let l:curl_command = [ \ "curl", \ "--silent", \ "--no-buffer", \ "--request", "POST", \ "--url", g:llama_config.endpoint, \ "--header", "Content-Type: application/json", \ "--data", "@-", \ ] if exists ("g:llama_config.api_key") && len("g:llama_config.api_key") > 0 call extend(l:curl_command, ['--header', 'Authorization: Bearer ' .. g:llama_config.api_key]) endif if s:current_job != v:null if s:ghost_text_nvim call jobstop(s:current_job) elseif s:ghost_text_vim call job_stop(s:current_job) endif endif " send the request asynchronously if s:ghost_text_nvim let s:current_job = jobstart(l:curl_command, { \ 'on_stdout': function('s:fim_on_response', [l:hashes]), \ 'on_exit': function('s:fim_on_exit'), \ 'stdout_buffered': v:true \ }) call chansend(s:current_job, l:request) call chanclose(s:current_job, 'stdin') elseif s:ghost_text_vim let s:current_job = job_start(l:curl_command, { \ 'out_cb': function('s:fim_on_response', [l:hashes]), \ 'exit_cb': function('s:fim_on_exit') \ }) let channel = job_getchannel(s:current_job) call ch_sendraw(channel, l:request) call ch_close_in(channel) endif " TODO: per-file location let l:delta_y = abs(l:pos_y - s:pos_y_pick) " gather some extra context nearby and process it in the background " only gather chunks if the cursor has moved a lot " TODO: something more clever? reranking? if a:is_auto && l:delta_y > 32 let l:max_y = line('$') " expand the prefix even further call s:pick_chunk(getline(max([1, l:pos_y - g:llama_config.ring_scope]), max([1, l:pos_y - g:llama_config.n_prefix])), v:false, v:false) " pick a suffix chunk call s:pick_chunk(getline(min([l:max_y, l:pos_y + g:llama_config.n_suffix]), min([l:max_y, l:pos_y + g:llama_config.n_suffix + g:llama_config.ring_chunk_size])), v:false, v:false) let s:pos_y_pick = l:pos_y endif endfunction " callback that processes the FIM result from the server function! s:fim_on_response(hashes, job_id, data, event = v:null) if s:ghost_text_nvim let l:raw = join(a:data, "\n") elseif s:ghost_text_vim let l:raw = a:data endif " ignore empty results if len(l:raw) == 0 return endif " put the response in the cache for l:hash in a:hashes call s:cache_insert(l:hash, l:raw) endfor " if nothing is currently displayed - show the hint directly if !s:hint_shown || !s:fim_data['can_accept'] let l:pos_x = col('.') - 1 let l:pos_y = line('.') call s:fim_try_hint(l:pos_x, l:pos_y) endif endfunction function! s:fim_on_exit(job_id, exit_code, event = v:null) if a:exit_code != 0 echom "Job failed with exit code: " . a:exit_code endif let s:current_job = v:null endfunction function! s:on_move() let s:t_last_move = reltime() call llama#fim_hide() let l:pos_x = col('.') - 1 let l:pos_y = line('.') call s:fim_try_hint(l:pos_x, l:pos_y) endfunction " try to generate a suggestion using the data in the cache function! s:fim_try_hint(pos_x, pos_y) " show the suggestion only in insert mode if mode() !~# '\v^(i|ic|ix)$' return endif let l:pos_x = a:pos_x let l:pos_y = a:pos_y let l:ctx_local = s:fim_ctx_local(l:pos_x, l:pos_y, []) let l:prefix = l:ctx_local['prefix'] let l:middle = l:ctx_local['middle'] let l:suffix = l:ctx_local['suffix'] let l:hash = sha256(l:prefix . l:middle . 'Î' . l:suffix) " Check if the completion is cached let l:raw = get(g:cache_data, l:hash, v:null) " ... or if there is a cached completion nearby (10 characters behind) " Looks at the previous 10 characters to see if a completion is cached. If one is found at (x,y) " then it checks that the characters typed after (x,y) match up with the cached completion result. if l:raw == v:null let l:pm = l:prefix . l:middle let l:best = 0 for i in range(128) let l:removed = l:pm[-(1 + i):] let l:ctx_new = l:pm[:-(2 + i)] . 'Î' . l:suffix let l:hash_new = sha256(l:ctx_new) if has_key(g:cache_data, l:hash_new) let l:response_cached = get(g:cache_data, l:hash_new) if l:response_cached == "" continue endif let l:response = json_decode(l:response_cached) if l:response['content'][0:i] !=# l:removed continue endif let l:response['content'] = l:response['content'][i + 1:] if len(l:response['content']) > 0 if l:raw == v:null let l:raw = json_encode(l:response) elseif len(l:response['content']) > l:best let l:best = len(l:response['content']) let l:raw = json_encode(l:response) endif endif endif endfor endif if l:raw != v:null call s:fim_render(l:pos_x, l:pos_y, l:raw) " run async speculative FIM in the background for this position if s:hint_shown call llama#fim(l:pos_x, l:pos_y, v:true, s:fim_data['content'], v:true) endif endif endfunction " render a suggestion at the current cursor location function! s:fim_render(pos_x, pos_y, data) " do not show if there is a completion in progress if pumvisible() return endif let l:raw = a:data let l:can_accept = v:true let l:has_info = v:false let l:n_prompt = 0 let l:t_prompt_ms = 1.0 let l:s_prompt = 0 let l:n_predict = 0 let l:t_predict_ms = 1.0 let l:s_predict = 0 let l:content = [] " get the generated suggestion if l:can_accept let l:response = json_decode(l:raw) for l:part in split(get(l:response, 'content', ''), "\n", 1) call add(l:content, l:part) endfor " remove trailing new lines while len(l:content) > 0 && l:content[-1] == "" call remove(l:content, -1) endwhile let l:n_cached = get(l:response, 'tokens_cached', 0) let l:truncated = get(l:response, 'timings/truncated', v:false) " if response.timings is available if has_key(l:response, 'timings/prompt_n') && has_key(l:response, 'timings/prompt_ms') && has_key(l:response, 'timings/prompt_per_second') \ && has_key(l:response, 'timings/predicted_n') && has_key(l:response, 'timings/predicted_ms') && has_key(l:response, 'timings/predicted_per_second') let l:n_prompt = get(l:response, 'timings/prompt_n', 0) let l:t_prompt_ms = get(l:response, 'timings/prompt_ms', 1) let l:s_prompt = get(l:response, 'timings/prompt_per_second', 0) let l:n_predict = get(l:response, 'timings/predicted_n', 0) let l:t_predict_ms = get(l:response, 'timings/predicted_ms', 1) let l:s_predict = get(l:response, 'timings/predicted_per_second', 0) endif let l:has_info = v:true endif if len(l:content) == 0 call add(l:content, "") let l:can_accept = v:false endif let l:pos_x = a:pos_x let l:pos_y = a:pos_y let l:line_cur = getline(l:pos_y) " if the current line is full of whitespaces, trim as much whitespaces from the suggestion if match(l:line_cur, '^\s*$') >= 0 let l:lead = min([strlen(matchstr(l:content[0], '^\s*')), strlen(l:line_cur)]) let l:line_cur = strpart(l:content[0], 0, l:lead) let l:content[0] = strpart(l:content[0], l:lead) endif let l:line_cur_prefix = strpart(l:line_cur, 0, l:pos_x) let l:line_cur_suffix = strpart(l:line_cur, l:pos_x) " NOTE: the following is logic for discarding predictions that repeat existing text " the code is quite ugly and there is very likely a simpler and more canonical way to implement this " " still, I wonder if there is some better way that avoids having to do these special hacks? " on one hand, the LLM 'sees' the contents of the file before we start editing, so it is normal that it would " start generating whatever we have given it via the extra context. but on the other hand, it's not very " helpful to re-generate the same code that is already there " truncate the suggestion if the first line is empty if len(l:content) == 1 && l:content[0] == "" let l:content = [""] endif " ... and the next lines are repeated if len(l:content) > 1 && l:content[0] == "" && l:content[1:] == getline(l:pos_y + 1, l:pos_y + len(l:content) - 1) let l:content = [""] endif " truncate the suggestion if it repeats the suffix if len(l:content) == 1 && l:content[0] == l:line_cur_suffix let l:content = [""] endif " find the first non-empty line (strip whitespace) let l:cmp_y = l:pos_y + 1 while l:cmp_y < line('$') && getline(l:cmp_y) =~? '^\s*$' let l:cmp_y += 1 endwhile if (l:line_cur_prefix . l:content[0]) == getline(l:cmp_y) " truncate the suggestion if it repeats the next line if len(l:content) == 1 let l:content = [""] endif " ... or if the second line of the suggestion is the prefix of line l:cmp_y + 1 if len(l:content) == 2 && l:content[-1] == getline(l:cmp_y + 1)[:len(l:content[-1]) - 1] let l:content = [""] endif " ... or if the middle chunk of lines of the suggestion is the same as [l:cmp_y + 1, l:cmp_y + len(l:content) - 1) if len(l:content) > 2 && join(l:content[1:-1], "\n") == join(getline(l:cmp_y + 1, l:cmp_y + len(l:content) - 1), "\n") let l:content = [""] endif endif " keep only lines that have the same or larger whitespace prefix as l:line_cur_prefix "let l:indent = strlen(matchstr(l:line_cur_prefix, '^\s*')) "for i in range(1, len(l:content) - 1) " if strlen(matchstr(l:content[i], '^\s*')) < l:indent " let l:content = l:content[:i - 1] " break " endif "endfor let l:content[-1] .= l:line_cur_suffix " if only whitespaces - do not accept if join(l:content, "\n") =~? '^\s*$' let l:can_accept = v:false endif " display virtual text with the suggestion let l:bufnr = bufnr('%') if s:ghost_text_nvim let l:id_vt_fim = nvim_create_namespace('vt_fim') endif let l:info = '' " construct the info message if g:llama_config.show_info > 0 && l:has_info let l:prefix = ' ' if l:truncated let l:info = printf("%s | WARNING: the context is full: %d, increase the server context size or reduce g:llama_config.ring_n_chunks", \ g:llama_config.show_info == 2 ? l:prefix : 'llama.vim', \ l:n_cached \ ) else let l:info = printf("%s | c: %d, r: %d/%d, e: %d, q: %d/16, C: %d/%d | p: %d (%.2f ms, %.2f t/s) | g: %d (%.2f ms, %.2f t/s)", \ g:llama_config.show_info == 2 ? l:prefix : 'llama.vim', \ l:n_cached, len(s:ring_chunks), g:llama_config.ring_n_chunks, s:ring_n_evict, len(s:ring_queued), \ len(keys(g:cache_data)), g:llama_config.max_cache_keys, \ l:n_prompt, l:t_prompt_ms, l:s_prompt, \ l:n_predict, l:t_predict_ms, l:s_predict \ ) endif if g:llama_config.show_info == 1 " display the info in the statusline let &statusline = l:info let l:info = '' endif endif " display the suggestion and append the info to the end of the first line if s:ghost_text_nvim call nvim_buf_set_extmark(l:bufnr, l:id_vt_fim, l:pos_y - 1, l:pos_x, { \ 'virt_text': [[l:content[0], 'llama_hl_hint'], [l:info, 'llama_hl_info']], \ 'virt_text_pos': l:content == [""] ? 'eol' : 'overlay' \ }) call nvim_buf_set_extmark(l:bufnr, l:id_vt_fim, l:pos_y - 1, 0, { \ 'virt_lines': map(l:content[1:], {idx, val -> [[val, 'llama_hl_hint']]}) \ }) elseif s:ghost_text_vim let l:full_suffix = l:content[0] if !empty(l:full_suffix) let l:new_suffix = l:full_suffix[0:-len(l:line_cur[l:pos_x:])-1] call prop_add(l:pos_y, l:pos_x + 1, { \ 'type': s:hlgroup_hint, \ 'text': l:new_suffix \ }) endif for line in l:content[1:] call prop_add(l:pos_y, 0, { \ 'type': s:hlgroup_hint, \ 'text': line, \ 'text_padding_left': s:get_indent(line), \ 'text_align': 'below' \ }) endfor if !empty(l:info) call prop_add(l:pos_y, 0, { \ 'type': s:hlgroup_info, \ 'text': l:info, \ 'text_wrap': 'truncate' \ }) endif endif " setup accept shortcuts exe 'inoremap ' . g:llama_config.keymap_accept_full . ' :call llama#fim_accept(''full'')' exe 'inoremap ' . g:llama_config.keymap_accept_line . ' :call llama#fim_accept(''line'')' exe 'inoremap ' . g:llama_config.keymap_accept_word . ' :call llama#fim_accept(''word'')' let s:hint_shown = v:true let s:fim_data['pos_x'] = l:pos_x let s:fim_data['pos_y'] = l:pos_y let s:fim_data['line_cur'] = l:line_cur let s:fim_data['can_accept'] = l:can_accept let s:fim_data['content'] = l:content endfunction " if accept_type == 'full', accept entire response " if accept_type == 'line', accept only the first line of the response " if accept_type == 'word', accept only the first word of the response function! llama#fim_accept(accept_type) let l:pos_x = s:fim_data['pos_x'] let l:pos_y = s:fim_data['pos_y'] let l:line_cur = s:fim_data['line_cur'] let l:can_accept = s:fim_data['can_accept'] let l:content = s:fim_data['content'] if l:can_accept && len(l:content) > 0 " insert suggestion on current line if a:accept_type != 'word' " insert first line of suggestion call setline(l:pos_y, l:line_cur[:(l:pos_x - 1)] . l:content[0]) else " insert first word of suggestion let l:suffix = l:line_cur[(l:pos_x):] let l:word = matchstr(l:content[0][:-(len(l:suffix) + 1)], '^\s*\S\+') call setline(l:pos_y, l:line_cur[:(l:pos_x - 1)] . l:word . l:suffix) endif " insert rest of suggestion if len(l:content) > 1 && a:accept_type == 'full' call append(l:pos_y, l:content[1:-1]) endif " move cusor if a:accept_type == 'word' " move cursor to end of word call cursor(l:pos_y, l:pos_x + len(l:word) + 1) elseif a:accept_type == 'line' || len(l:content) == 1 " move cursor for 1-line suggestion call cursor(l:pos_y, l:pos_x + len(l:content[0]) + 1) if len(l:content) > 2 " simulate pressing Enter to move to next line call feedkeys("\") endif else " move cursor for multi-line suggestion call cursor(l:pos_y + len(l:content) - 1, len(l:content[-1]) + 1) endif endif call llama#fim_hide() endfunction function! llama#fim_hide() let s:hint_shown = v:false " clear the virtual text let l:bufnr = bufnr('%') if s:ghost_text_nvim let l:id_vt_fim = nvim_create_namespace('vt_fim') call nvim_buf_clear_namespace(l:bufnr, l:id_vt_fim, 0, -1) elseif s:ghost_text_vim call prop_remove({'type': s:hlgroup_hint, 'all': v:true}) call prop_remove({'type': s:hlgroup_info, 'all': v:true}) endif " remove the mappings exe 'silent! iunmap ' . g:llama_config.keymap_accept_full exe 'silent! iunmap ' . g:llama_config.keymap_accept_line exe 'silent! iunmap ' . g:llama_config.keymap_accept_word endfunction