u

src/tools/analyze-image.js

@@ -7,6 +7,12 @@ import env from '../config/env.js';
 import { getImageByHash } from '../db/pic.js';
 import { prepareVfs, extractFullHash } from './vfs.js';
 import { resolveOpenRouterKey, resolveDefaultModel } from './llm-key.js';
+import {
+    TOOL_DESCRIPTIONS,
+    TOOL_PARAMETER_DESCRIPTIONS,
+    ANALYZE_IMAGE_VISION_COMPARE_PROMPT,
+    ANALYZE_IMAGE_VISION_DESCRIBE_PROMPT,
+} from './prompts.js';
 
 /**
  * analyze_image — lets a vision model actually LOOK at images held in the VFS.
@@ -275,9 +281,7 @@ async function fetchDatabaseImage(hash, googleAuthId) {
 export function createAnalyzeImageTool({ googleAuthId, model }) {
     return defineTool({
         name: 'analyze_image',
-        description:
-            'Inspect 1-9 images via vision model. Multiple paths render as a labelled comparison grid. ' +
-            'Paths: VFS-relative ("images/foo.avif") or DB ("image/<hash>"). Returns model evaluation.',
+        description: TOOL_DESCRIPTIONS.analyze_image,
         strict: false,
         parameters: {
             type: 'object',
@@ -286,23 +290,23 @@ export function createAnalyzeImageTool({ googleAuthId, model }) {
             properties: {
                 note: {
                     type: ['string', 'null'],
-                    description: 'A note explaining what this image inspection is doing (or null). This note will be displayed to the user while the images are being analyzed.',
+                    description: TOOL_PARAMETER_DESCRIPTIONS.analyze_image.note,
                 },
                 paths: {
                     type: 'array',
-                    description: '1–9 VFS paths or DB paths ("image/<hash>").',
+                    description: TOOL_PARAMETER_DESCRIPTIONS.analyze_image.paths,
                     items: { type: 'string' },
                     minItems: 1,
                     maxItems: MAX_IMAGES,
                 },
                 prompt: {
                     type: ['string', 'null'],
-                    description: 'Inspection criteria or question, or null.',
+                    description: TOOL_PARAMETER_DESCRIPTIONS.analyze_image.prompt,
                 },
                 grid: {
                     type: ['string', 'null'],
                     enum: [...Object.keys(GRID_CONFIGS), null],
-                    description: 'Grid layout or null for auto.',
+                    description: TOOL_PARAMETER_DESCRIPTIONS.analyze_image.grid,
                 },
             },
         },
@@ -378,14 +382,14 @@ export function createAnalyzeImageTool({ googleAuthId, model }) {
             // ── Ask the vision model ──────────────────────────────────────
             const question = typeof prompt === 'string' && prompt.trim() ? prompt.trim() : null;
             const text = items.length > 1
-                ? `${question || 'Compare these images, judge visual quality, flag watermarks, text overlays or defects, and say which one is best and why.'}\n\n` +
+                ? `${question || ANALYZE_IMAGE_VISION_COMPARE_PROMPT}\n\n` +
                 `The grid is ${shape.name}. Each image has its file name printed beneath it:\n` +
                 items.map((it, idx) => {
                     const row = Math.floor(idx / GRID_CONFIGS[shape.name].cols) + 1;
                     const col = (idx % GRID_CONFIGS[shape.name].cols) + 1;
                     return `- Row ${row}, Col ${col}: "${it.name}"`;
                 }).join('\n')
-                : question || 'Describe this image, judge its visual quality, flag any watermark, text overlay or defect, and say whether it is usable as a product or category image.';
+                : question || ANALYZE_IMAGE_VISION_DESCRIBE_PROMPT;
 
             const apiKey = await resolveOpenRouterKey(googleAuthId);
             const visionModel = (await resolveDefaultModel(googleAuthId)) || model;