Update ai_engine.js

ai_engine.js

@@ -12,12 +12,6 @@ const bedrockClient = new BedrockRuntimeClient({
     }) 
 });
 
-const azureOpenAI = new OpenAI({
-    apiKey: process.env.AZURE_OPENAI_API_KEY || "7U3m9NRkE38ThSWTr92hMgQ4hDCUFI9MAnFNrCgRL7MhdvckfTXwJQQJ99CBACHYHv6XJ3w3AAAAACOGV22P",
-    baseURL: `https://hollowpad-resource.cognitiveservices.azure.com/openai/deployments/gpt-5-mini`,
-    defaultQuery: { "api-version": "2024-05-01-preview" },
-    defaultHeaders: { "api-key": process.env.AZURE_OPENAI_API_KEY || "7U3m9NRkE38ThSWTr92hMgQ4hDCUFI9MAnFNrCgRL7MhdvckfTXwJQQJ99CBACHYHv6XJ3w3AAAAACOGV22P" }
-});
 
 function getBedrockModelId(modelName) {
     switch(modelName) {
@@ -32,28 +26,7 @@ function getBedrockModelId(modelName) {
 }
 
 export const generateCompletion = async ({ model, prompt, system_prompt, images }) => {
-    if (model === "gpt" || model === "gpt-5-mini") {
-        let messagesPayload =[{ role: "system", content: system_prompt || GPT_SYSTEM_PROMPT }];
-
-        if (images && images.length > 0) {
-            let userContent =[{ type: "text", text: prompt }];
-            images.forEach(imgStr => {
-                userContent.push({ type: "image_url", image_url: { url: imgStr } });
-            });
-            messagesPayload.push({ role: "user", content: userContent });
-        } else {
-            messagesPayload.push({ role: "user", content: prompt });
-        }
-
-        const response = await azureOpenAI.chat.completions.create({
-            model: "gpt-5-mini",
-            messages: messagesPayload,
-            reasoning_effort: "high"
-        });
-        
-        return { success: true, data: response.choices[0].message.content, usage: { totalTokenCount: response.usage?.total_tokens || 0 } };
-
-    } else {
+  
         const bedrockModelId = getBedrockModelId(model);
         let contentBlock = [{ text: prompt }];
         
@@ -88,41 +61,12 @@ export const generateCompletion = async ({ model, prompt, system_prompt, images
         const tokenUsage = response.usage ? (response.usage.inputTokens + response.usage.outputTokens) : 0;
 
         return { success: true, data: text, usage: { totalTokenCount: tokenUsage } };
-    }
+    
 };
 
 export const streamCompletion = async ({ model, prompt, system_prompt, images, res }) => {
     let totalTokenCount = 0;
 
-    if (model === "gpt" || model === "gpt-5-mini") {
-        let messagesPayload =[{ role: "system", content: system_prompt || GPT_SYSTEM_PROMPT }];
-        let userContent =[];
-        if (images && images.length > 0) {
-            userContent.push({ type: "text", text: prompt });
-            images.forEach(imgStr => { userContent.push({ type: "image_url", image_url: { url: imgStr } }); });
-            messagesPayload.push({ role: "user", content: userContent });
-        } else {
-            messagesPayload.push({ role: "user", content: prompt });
-        }
-
-        const stream = await azureOpenAI.chat.completions.create({
-            model: "gpt-5-mini",
-            messages: messagesPayload,
-            reasoning_effort: "high",
-            stream: true,
-            stream_options: { include_usage: true } 
-        });
-
-        for await (const chunk of stream) {
-            const delta = chunk.choices[0]?.delta;
-            if (delta?.reasoning_content) res.write(`__THINK__${delta.reasoning_content}`);
-            else if (delta?.content) res.write(delta.content);
-            if (chunk.usage) totalTokenCount = chunk.usage.total_tokens;
-        }
-        res.write(`__USAGE__${JSON.stringify({ totalTokenCount })}`);
-        res.end();
-
-    } else {
         const bedrockModelId = getBedrockModelId(model);
         let contentBlock = [{ text: prompt }];
         
@@ -155,5 +99,5 @@ export const streamCompletion = async ({ model, prompt, system_prompt, images, r
         }
         res.write(`__USAGE__${JSON.stringify({ totalTokenCount })}`);
         res.end();
-    }
+    
 };