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M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository

by orneryd
VLService.md4.1 kB
[**mimir v1.0.0**](../README.md) *** [mimir](../README.md) / indexing/VLService # indexing/VLService ## Classes ### VLService Defined in: src/indexing/VLService.ts:30 #### Constructors ##### Constructor > **new VLService**(`config`): [`VLService`](#vlservice) Defined in: src/indexing/VLService.ts:34 ###### Parameters ###### config [`VLConfig`](#vlconfig) ###### Returns [`VLService`](#vlservice) #### Methods ##### describeImage() > **describeImage**(`imageDataURL`, `prompt`): `Promise`\<[`VLDescriptionResult`](#vldescriptionresult)\> Defined in: src/indexing/VLService.ts:80 Generate a text description of an image using vision-language model Sends image to VL model (e.g., qwen2.5-vl) to generate natural language description. Used for making images searchable via text embeddings. ###### Parameters ###### imageDataURL `string` Image as data URL (data:image/jpeg;base64,...) ###### prompt `string` = `"Describe this image in detail. What do you see?"` Instruction prompt for VL model ###### Returns `Promise`\<[`VLDescriptionResult`](#vldescriptionresult)\> Description result with text, model info, and timing ###### Throws If VL service is disabled or API call fails ###### Examples ```ts const vlService = new VLService({ provider: 'llama.cpp', api: 'http://localhost:8080', apiPath: '/v1/chat/completions', apiKey: 'none', model: 'qwen2.5-vl', contextSize: 4096, maxTokens: 500, temperature: 0.7 }); const result = await vlService.describeImage(dataURL); console.log('Description:', result.description); console.log('Processing time:', result.processingTimeMs, 'ms'); ``` ```ts // Custom prompt for specific analysis const result = await vlService.describeImage( imageDataURL, 'Describe the architecture diagram. What components are shown?' ); console.log('Analysis:', result.description); ``` ```ts // Use description for embedding const vlResult = await vlService.describeImage(imageDataURL); const embedding = await embeddingsService.generateEmbedding(vlResult.description); await storeImageEmbedding(imagePath, embedding); ``` ##### testConnection() > **testConnection**(): `Promise`\<`boolean`\> Defined in: src/indexing/VLService.ts:182 Test VL service connectivity and availability Sends a minimal test image to verify the VL API is accessible and responding correctly. Use during initialization. ###### Returns `Promise`\<`boolean`\> true if connection successful, false otherwise ###### Examples ```ts const vlService = new VLService(config); const isAvailable = await vlService.testConnection(); if (isAvailable) { console.log('VL service ready'); } else { console.warn('VL service unavailable'); } ``` ```ts // Check before enabling image indexing if (await vlService.testConnection()) { await indexImagesWithDescriptions(); } else { console.log('Skipping image indexing - VL service offline'); } ``` ## Interfaces ### VLConfig Defined in: src/indexing/VLService.ts:12 #### Properties ##### provider > **provider**: `string` Defined in: src/indexing/VLService.ts:13 ##### api > **api**: `string` Defined in: src/indexing/VLService.ts:14 ##### apiPath > **apiPath**: `string` Defined in: src/indexing/VLService.ts:15 ##### apiKey > **apiKey**: `string` Defined in: src/indexing/VLService.ts:16 ##### model > **model**: `string` Defined in: src/indexing/VLService.ts:17 ##### contextSize > **contextSize**: `number` Defined in: src/indexing/VLService.ts:18 ##### maxTokens > **maxTokens**: `number` Defined in: src/indexing/VLService.ts:19 ##### temperature > **temperature**: `number` Defined in: src/indexing/VLService.ts:20 *** ### VLDescriptionResult Defined in: src/indexing/VLService.ts:23 #### Properties ##### description > **description**: `string` Defined in: src/indexing/VLService.ts:24 ##### model > **model**: `string` Defined in: src/indexing/VLService.ts:25 ##### tokensUsed > **tokensUsed**: `number` Defined in: src/indexing/VLService.ts:26 ##### processingTimeMs > **processingTimeMs**: `number` Defined in: src/indexing/VLService.ts:27

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