feat: support OpenWebUI as Ollama gateway

- Connect via OpenWebUI API at https://llm.reifonas.cloud/api
- Use /api/v1/chat/completions format for OpenWebUI
- Keep native Ollama format as fallback
- Auto-detect models from both endpoints

services/aiService.ts

@@ -365,12 +365,21 @@ export const analyzeWithOllama = async (file: File, endpoint: string, model: str
     reader.readAsDataURL(file);
   });
 
-  const url = `${endpoint}/api/chat`;
+  let url = `${endpoint}/api/chat`;
+  
+  // Check if using OpenWebUI (has /api in path but not direct Ollama)
+  const useOpenWebUI = endpoint.includes('/api') || endpoint.includes('llm.reifonas.cloud');
+  
+  if (useOpenWebUI) {
+    // Use OpenWebUI API format
+    url = `${endpoint}/api/v1/chat/completions`;
+  }
 
   const response = await fetch(url, {
     method: 'POST',
     headers: {
       'Content-Type': 'application/json',
+      ...(useOpenWebUI ? { 'Authorization': 'Bearer no-key-required' } : {})
     },
     body: JSON.stringify({
       model,
@@ -379,8 +388,8 @@ export const analyzeWithOllama = async (file: File, endpoint: string, model: str
           role: 'user',
           content: [
             {
-              type: 'image',
+              type: 'image_url',
-              data: base64Data
+              image_url: { url: `data:${file.type};base64,${base64Data}` }
             },
             {
               type: 'text',
@@ -389,7 +398,7 @@ export const analyzeWithOllama = async (file: File, endpoint: string, model: str
           ]
         }
       ],
-      format: 'json',
+      ...(useOpenWebUI ? {} : { format: 'json' }),
       options: {
         temperature: 0.1,
         num_predict: 4096
@@ -399,14 +408,17 @@ export const analyzeWithOllama = async (file: File, endpoint: string, model: str
 
   if (!response.ok) {
     const error = await response.text();
-    throw new Error(`Erro do Ollama: ${error}`);
+    throw new Error(`Erro do Ollama/OpenWebUI: ${error}`);
   }
 
   const data = await response.json();
-  const content = data.message?.content;
+  
+  // OpenWebUI format: data.choices[0].message.content
+  // Ollama native format: data.message.content
+  const content = data.choices?.[0]?.message?.content || data.message?.content;
   
   if (!content) {
-    throw new Error("Resposta vazia do Ollama");
+    throw new Error("Resposta vazia do Ollama/OpenWebUI");
   }
 
   return cleanAndParseJson(content) as ReportData;

services/apiTestService.ts

@@ -66,8 +66,12 @@ const testOllama = async (endpoint?: string): Promise<TestResult> => {
     }
   }
   
+  // Normalize endpoint - add /api for OpenWebUI
+  const useOpenWebUI = ollamaEndpoint.includes('llm.reifonas.cloud');
+  const apiEndpoint = useOpenWebUI ? `${ollamaEndpoint}/api` : ollamaEndpoint;
+  
   try {
-    const response = await fetch(`${ollamaEndpoint}/api/tags`);
+    const response = await fetch(`${apiEndpoint}/tags`);
     
     if (!response.ok) {
       return { success: false, error: 'Não foi possível conectar ao Ollama. Verifique o endereço.' };

types/providers.ts

@@ -7,6 +7,7 @@ export const OLLAMA_AUTO_DETECT_URLS = [
   'http://127.0.0.1:11434',
   'http://192.168.1.100:11434',
   'http://10.0.0.1:11434',
+  'http://10.0.1.1:11434',
   'https://llm.reifonas.cloud',
   'http://ollama:11434',
   'http://host.docker.internal:11434',