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llama.vim
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" vim: ts=4 sts=4 expandtab
" colors (adjust to your liking)
highlight llama_hl_hint guifg=#ff772f ctermfg=202
highlight 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
" 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_accept_full: accept full suggestion keymap, default: <Tab>
" keymap_accept_line: accept line suggestion keymap, default: <S-Tab>
" keymap_accept_word: accept word suggestion keymap, default: <C-B>
"
let s:default_config = {
\ 'endpoint': 'http://127.0.0.1:8012/infill',
\ 'api_key': '',
\ 'n_prefix': 256,
\ 'n_suffix': 64,
\ 'n_predict': 128,
\ '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_accept_full': "<Tab>",
\ 'keymap_accept_line': "<S-Tab>",
\ 'keymap_accept_word': "<C-B>",
\ }
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
silent! iunmap <C-F>
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!
autocmd InsertEnter * inoremap <expr> <silent> <C-F> 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 <expr>'
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,
\ '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 - 1, {
\ 'virt_text': [[l:content[0], 'llama_hl_hint'], [l:info, 'llama_hl_info']],
\ 'virt_text_win_col': l:pos_x
\ })
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']]}),
\ 'virt_text_win_col': l:pos_x + 1
\ })
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 <buffer> ' . g:llama_config.keymap_accept_full . ' <C-O>:call llama#fim_accept(''full'')<CR>'
exe 'inoremap <buffer> ' . g:llama_config.keymap_accept_line . ' <C-O>:call llama#fim_accept(''line'')<CR>'
exe 'inoremap <buffer> ' . g:llama_config.keymap_accept_word . ' <C-O>:call llama#fim_accept(''word'')<CR>'
let s:hint_shown = v:true
let s:fim_data['pos_x'] = l:pos_x
let s:fim_data['pos_y'] = l:pos_y