style: prettier format

lib/ai/providers.ts

@@ -1,25 +1,25 @@
-import { createOpenAI } from '@ai-sdk/openai';
-import { getEncoding } from 'js-tiktoken';
+import { createOpenAI } from '@ai-sdk/openai'
+import { getEncoding } from 'js-tiktoken'
 
-import { RecursiveCharacterTextSplitter } from './text-splitter';
+import { RecursiveCharacterTextSplitter } from './text-splitter'
 
 // Providers
 const openai = createOpenAI({
   apiKey: import.meta.env.VITE_OPENAI_API_KEY!,
   baseURL: import.meta.env.VITE_OPENAI_ENDPOINT || 'https://api.openai.com/v1',
-});
+})
 
-const customModel = import.meta.env.VITE_OPENAI_MODEL || 'o3-mini';
+const customModel = import.meta.env.VITE_OPENAI_MODEL || 'o3-mini'
 
 // Models
 
 export const o3MiniModel = openai(customModel, {
   // reasoningEffort: customModel.startsWith('o') ? 'medium' : undefined,
   structuredOutputs: true,
-});
+})
 
-const MinChunkSize = 140;
-const encoder = getEncoding('o200k_base');
+const MinChunkSize = 140
+const encoder = getEncoding('o200k_base')
 
 // trim prompt to maximum context size
 export function trimPrompt(
@@ -27,32 +27,32 @@ export function trimPrompt(
   contextSize = Number(import.meta.env.VITE_CONTEXT_SIZE) || 128_000,
 ) {
   if (!prompt) {
-    return '';
+    return ''
   }
 
-  const length = encoder.encode(prompt).length;
+  const length = encoder.encode(prompt).length
   if (length <= contextSize) {
-    return prompt;
+    return prompt
   }
 
-  const overflowTokens = length - contextSize;
+  const overflowTokens = length - contextSize
   // on average it's 3 characters per token, so multiply by 3 to get a rough estimate of the number of characters
-  const chunkSize = prompt.length - overflowTokens * 3;
+  const chunkSize = prompt.length - overflowTokens * 3
   if (chunkSize < MinChunkSize) {
-    return prompt.slice(0, MinChunkSize);
+    return prompt.slice(0, MinChunkSize)
   }
 
   const splitter = new RecursiveCharacterTextSplitter({
     chunkSize,
     chunkOverlap: 0,
-  });
-  const trimmedPrompt = splitter.splitText(prompt)[0] ?? '';
+  })
+  const trimmedPrompt = splitter.splitText(prompt)[0] ?? ''
 
   // last catch, there's a chance that the trimmed prompt is same length as the original prompt, due to how tokens are split & innerworkings of the splitter, handle this case by just doing a hard cut
   if (trimmedPrompt.length === prompt.length) {
-    return trimPrompt(prompt.slice(0, chunkSize), contextSize);
+    return trimPrompt(prompt.slice(0, chunkSize), contextSize)
   }
 
   // recursively trim until the prompt is within the context size
-  return trimPrompt(trimmedPrompt, contextSize);
+  return trimPrompt(trimmedPrompt, contextSize)
 }