diff --git a/src/models/attachment.ts b/src/models/attachment.ts
index ae49e15..53a2883 100644
--- a/src/models/attachment.ts
+++ b/src/models/attachment.ts
@@ -1,4 +1,7 @@
 
+export const textFormats = ['pdf', 'txt', 'docx', 'pptx', 'xlsx']
+export const imageFormats = ['jpeg', 'jpg', 'png', 'webp']
+
 export default class Attachment {
 
   url: string
@@ -20,6 +23,14 @@ export default class Attachment {
     }
   }
 
+  isText(): boolean {
+    return textFormats.includes(this.format)
+  }
+
+  isImage(): boolean {
+    return imageFormats.includes(this.format)
+  }
+
   extractText(): void {
     const rawText = window.api.file.extractText(this.contents, this.format)
     //console.log('Raw text:', rawText)
diff --git a/src/services/engine.ts b/src/services/engine.ts
index 12665fb..4a279e1 100644
--- a/src/services/engine.ts
+++ b/src/services/engine.ts
@@ -7,7 +7,6 @@ import Plugin from '../plugins/plugin'
 import BrowsePlugin from '../plugins/browse'
 import TavilyPlugin from '../plugins/tavily'
 import PythonPlugin from '../plugins/python'
-import { textFormats, imageFormats } from './llm'
 import { PluginParameter } from '../types/plugin.d'
 import { minimatch } from 'minimatch'
 
@@ -98,7 +97,7 @@ export default class LlmEngine {
     }
 
     // check if amy of the messages in the thread have an attachment
-    return thread.some((msg) => msg.attachment && imageFormats.includes(msg.attachment.format))
+    return thread.some((msg) => msg.attachment && msg.attachment.isImage())
 
   }
 
@@ -152,12 +151,12 @@ export default class LlmEngine {
         }
 
         // text formats
-        if (textFormats.includes(msg.attachment.format)) {
+        if (msg.attachment.isText()) {
           payload.content += `\n\n${msg.attachment.contents}`
         }
 
         // image formats
-        if (imageFormats.includes(msg.attachment.format)) {
+        if (msg.attachment.isImage()) {
           if (!imageAttached && this.isVisionModel(model)) {
             this.addImageToPayload(msg, payload)
             imageAttached = true
diff --git a/src/services/google.ts b/src/services/google.ts
index 5d898d8..15a2db7 100644
--- a/src/services/google.ts
+++ b/src/services/google.ts
@@ -144,12 +144,16 @@ export default class extends LlmEngine {
       }
     
       // add inline
-      prompt.push({
-        inlineData: {
-          mimeType: 'image/png',
-          data: lastMessage.attachment.contents,
-        }
-      })
+      if (lastMessage.attachment.isImage()) {
+        prompt.push({
+          inlineData: {
+            mimeType: 'image/png',
+            data: lastMessage.attachment.contents,
+          }
+        })
+      } else if (lastMessage.attachment.isText()) {
+        prompt.push(lastMessage.attachment.contents)
+      }
 
     }
 
diff --git a/src/services/llm.ts b/src/services/llm.ts
index c5eb508..9f48ab8 100644
--- a/src/services/llm.ts
+++ b/src/services/llm.ts
@@ -1,5 +1,6 @@
 
 import { Model, EngineConfig, Configuration } from '../types/config.d'
+import { imageFormats, textFormats } from '../models/attachment'
 import { store } from './store'
 import OpenAI, { isOpenAIReady } from './openai'
 import Ollama, { isOllamaReady } from './ollama'
@@ -10,8 +11,6 @@ import Groq, { isGroqReady } from './groq'
 import LlmEngine from './engine'
 
 export const availableEngines = ['openai', 'ollama', 'anthropic', 'mistralai', 'google', 'groq']
-export const textFormats = ['pdf', 'txt', 'docx', 'pptx', 'xlsx']
-export const imageFormats = ['jpeg', 'jpg', 'png', 'webp']
 
 export const isEngineReady = (engine: string) => {
   if (engine === 'openai') return isOpenAIReady(store.config.engines.openai)
diff --git a/src/types/index.d.ts b/src/types/index.d.ts
index 8e4ff00..3c01d64 100644
--- a/src/types/index.d.ts
+++ b/src/types/index.d.ts
@@ -41,6 +41,8 @@ interface Attachment {
   format: string
   contents: string
   downloaded: boolean
+  isText(): boolean
+  isImage(): boolean
 }
 
 interface Command {
diff --git a/tests/unit/engine.test.ts b/tests/unit/engine.test.ts
index 6bef444..bbf1d96 100644
--- a/tests/unit/engine.test.ts
+++ b/tests/unit/engine.test.ts
@@ -4,6 +4,7 @@ import { isEngineReady, igniteEngine, hasVisionModels, isVisionModel, loadOpenAI
 import { store } from '../../src/services/store'
 import defaults from '../../defaults/settings.json'
 import Message from '../../src/models/message'
+import Attachment from '../../src/models/attachment'
 import OpenAI from '../../src/services/openai'
 import Ollama from '../../src/services/ollama'
 import MistralAI from '../../src/services/mistralai'
@@ -11,7 +12,6 @@ import Anthropic from '../../src/services/anthropic'
 import Google from '../../src/services/google'
 import Groq from '../../src/services/groq'
 import { Model } from '../../src/types/config.d'
-import { text } from 'stream/consumers'
 
 const model = [{ id: 'llava:latest', name: 'llava:latest', meta: {} }]
 
@@ -31,6 +31,15 @@ vi.mock('openai', async() => {
   return { default: OpenAI }
 })
 
+window.api = {
+  base64: {
+    decode: (data: string) => data
+  },
+  file: {
+    extractText: (contents) => contents
+  }
+}
+
 beforeEach(() => {
   store.config = defaults
 })
@@ -166,7 +175,7 @@ test('Build payload with text attachment', async () => {
     new Message('system', { role: 'system', type: 'text', content: 'instructions' }),
     new Message('user', { role: 'user', type: 'text', content: 'prompt1' }),
   ]
-  messages[1].attachFile({ format: 'txt', contents: 'attachment', downloaded: true, url: '' })
+  messages[1].attachFile(new Attachment('', 'txt', 'attachment', true))
   expect(openai.buildPayload(messages, 'gpt-model1')).toStrictEqual([
     { role: 'system', content: 'instructions' },
     { role: 'user', content: 'prompt1\n\nattachment' },
@@ -179,7 +188,7 @@ test('Build payload with image attachment', async () => {
     new Message('system', { role: 'system', type: 'text', content: 'instructions' }),
     new Message('user', { role: 'user', type: 'text', content: 'prompt1' }),
   ]
-  messages[1].attachFile({ format: 'png', contents: 'attachment', downloaded: true, url: '' })
+  messages[1].attachFile(new Attachment('', 'png', 'attachment', true))
   expect(openai.buildPayload(messages, 'gpt-model1')).toStrictEqual([
     { role: 'system', content: 'instructions' },
     { role: 'user', content: 'prompt1' },