feat: add custom words autocomplete support for Prompt node

Adds custom words autocomplete functionality similar to comfyui-custom-scripts,
with the following features:

Backend (Python):
- Create CustomWordsService for CSV parsing and priority-based search
- Add API endpoints: GET/POST /api/lm/custom-words and
  GET /api/lm/custom-words/search
- Share storage with pysssss plugin (checks for their user/autocomplete.txt first)
- Fallback to Lora Manager's user directory for storage

Frontend (JavaScript/Vue):
- Add 'custom_words' and 'prompt' model types to autocomplete system
- Prompt node now supports dual-mode autocomplete:
  * Type 'emb:' prefix → search embeddings
  * Type normally → search custom words (no prefix required)
- Add AUTOCOMPLETE_TEXT_PROMPT widget type
- Update Vue component and composable types

Key Features:
- CSV format: word[,priority] compatible with danbooru-tags.txt
- Priority-based sorting: 20% top priority + prefix + include matches
- Preview tooltip for embeddings (not for custom words)
- Dynamic endpoint switching based on prefix detection

Breaking Changes:
- Prompt (LoraManager) node widget type changed from
  AUTOCOMPLETE_TEXT_EMBEDDINGS to AUTOCOMPLETE_TEXT_PROMPT
- Removed standalone web/comfyui/prompt.js (integrated into main widgets)

Fixes comfy_dir path calculation by prioritizing folder_paths.base_path
from ComfyUI when available, with fallback to computed path.

web/comfyui/vue-widgets/lora-manager-widgets.js

@@ -1725,7 +1725,7 @@ to {
   padding: 20px 0;
 }
 
-.autocomplete-text-widget[data-v-46db5331] {
+.autocomplete-text-widget[data-v-d5278afc] {
   background: transparent;
   height: 100%;
   display: flex;
@@ -1734,7 +1734,7 @@ to {
 }
 
 /* Canvas mode styles (default) - matches built-in comfy-multiline-input */
-.text-input[data-v-46db5331] {
+.text-input[data-v-d5278afc] {
   flex: 1;
   width: 100%;
   background-color: var(--comfy-input-bg, #222);
@@ -1751,7 +1751,7 @@ to {
 }
 
 /* Vue DOM mode styles - matches built-in p-textarea in Vue DOM mode */
-.text-input.vue-dom-mode[data-v-46db5331] {
+.text-input.vue-dom-mode[data-v-d5278afc] {
   background-color: var(--color-charcoal-400, #313235);
   color: #fff;
   padding: 8px 12px;
@@ -1760,7 +1760,7 @@ to {
   font-size: 12px;
   font-family: inherit;
 }
-.text-input[data-v-46db5331]:focus {
+.text-input[data-v-d5278afc]:focus {
   outline: none;
 }`));
       document.head.appendChild(elementStyle);
@@ -13456,7 +13456,7 @@ const _sfc_main = /* @__PURE__ */ defineComponent({
     };
   }
 });
-const AutocompleteTextWidget = /* @__PURE__ */ _export_sfc(_sfc_main, [["__scopeId", "data-v-46db5331"]]);
+const AutocompleteTextWidget = /* @__PURE__ */ _export_sfc(_sfc_main, [["__scopeId", "data-v-d5278afc"]]);
 const LORA_PROVIDER_NODE_TYPES$1 = [
   "Lora Stacker (LoraManager)",
   "Lora Randomizer (LoraManager)",
@@ -14141,6 +14141,12 @@ app$1.registerExtension({
       AUTOCOMPLETE_TEXT_EMBEDDINGS(node) {
         const options = widgetInputOptions.get(`${node.comfyClass}:text`) || {};
         return createAutocompleteTextWidgetFactory(node, "text", "embeddings", options);
+      },
+      // Autocomplete text widget for prompt (supports both embeddings and custom words)
+      // @ts-ignore
+      AUTOCOMPLETE_TEXT_PROMPT(node) {
+        const options = widgetInputOptions.get(`${node.comfyClass}:text`) || {};
+        return createAutocompleteTextWidgetFactory(node, "text", "prompt", options);
       }
     };
   },