From 3df28dee39d77ff1ab2ba399e7f22ef450aee951 Mon Sep 17 00:00:00 2001
From: root <root@docker.local>
Date: Wed, 18 Feb 2026 15:53:46 +0000
Subject: [PATCH 1/2] Fix Ollama base URL handling and fetch URLs

---
 src/components/settings/AiSettings.tsx | 7 ++++---
 src/utils/ai.utils.ts                  | 8 ++++++--
 2 files changed, 10 insertions(+), 5 deletions(-)

diff --git a/src/components/settings/AiSettings.tsx b/src/components/settings/AiSettings.tsx
index 0bb59d7..e9e58c6 100644
--- a/src/components/settings/AiSettings.tsx
+++ b/src/components/settings/AiSettings.tsx
@@ -1,4 +1,5 @@
 "use client";
+const OLLAMA = process.env.NEXT_PUBLIC_OLLAMA_BASE_URL || "http://localhost:11434";
 import { useEffect, useState } from "react";
 import { Card, CardContent, CardHeader, CardTitle } from "../ui/card";
 import {
@@ -118,7 +119,7 @@ function AiSettings() {
     setIsLoadingModels(true);
     setFetchError("");
     try {
-      const response = await fetch("http://localhost:11434/api/tags");
+      const response = await fetch(`${OLLAMA}/api/tags`);
       if (!response.ok) {
         if (selectedModel.provider === AiProvider.OLLAMA) {
           setFetchError(
@@ -148,7 +149,7 @@ function AiSettings() {
   const keepModelAlive = async (modelName: string) => {
     try {
       // Send a request to keep the model loaded for 1 hour
-      await fetch("http://localhost:11434/api/generate", {
+      await fetch(`${OLLAMA}/api/generate`, {
         method: "POST",
         headers: {
           "Content-Type": "application/json",
@@ -169,7 +170,7 @@ function AiSettings() {
     setRunningModelError("");
     setRunningModelName("");
     try {
-      const response = await fetch("http://localhost:11434/api/ps");
+      const response = await fetch('${OLLAMA}/api/ps');
       if (!response.ok) {
         if (selectedModel.provider === AiProvider.OLLAMA) {
           setRunningModelError(
diff --git a/src/utils/ai.utils.ts b/src/utils/ai.utils.ts
index 9c0b54d..0c69e9e 100644
--- a/src/utils/ai.utils.ts
+++ b/src/utils/ai.utils.ts
@@ -1,3 +1,7 @@
+const OLLAMA =
+  process.env.OLLAMA_BASE_URL ||
+  process.env.NEXT_PUBLIC_OLLAMA_BASE_URL ||
+  "http://localhost:11434";
 import { JobResponse } from "@/models/job.model";
 import { AiProvider } from "@/models/ai.model";
 
@@ -35,7 +39,7 @@ export const checkIfModelIsRunning = async (
 
   try {
     // Check if Ollama service is accessible
-    const response = await fetch("http://localhost:11434/api/ps", {
+    const response = await fetch(`${OLLAMA}/api/ps`, {
       signal: AbortSignal.timeout(5000), // 5 second timeout
     });
 
@@ -86,7 +90,7 @@ export const fetchRunningModels = async (): Promise<{
   error?: string;
 }> => {
   try {
-    const response = await fetch("http://localhost:11434/api/ps", {
+    const response = await fetch(`${OLLAMA}/api/ps`, {
       signal: AbortSignal.timeout(5000),
     });
 

From 114bc20f6b4931bcfdfc10f5ee07151b68d3a549 Mon Sep 17 00:00:00 2001
From: Jason <jasonblr@gmail.com>
Date: Wed, 18 Feb 2026 16:13:25 +0000
Subject: [PATCH 2/2] Update .env.example with Ollama base URL setting

---
 .env.example | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.env.example b/.env.example
index 589bd1a..e96d219 100644
--- a/.env.example
+++ b/.env.example
@@ -21,6 +21,8 @@ DEEPSEEK_API_KEY=your-deepseek-api-key-here
 
 # For homelab server, if you ollama is running on server, change the following to your ollamma ip ex: http://192.168.x.x:12345
 OLLAMA_BASE_URL=http://host.docker.internal:11434
+NEXT_PUBLIC_OLLAMA_BASE_URL=http://host.docker.internal:11434
+
 
 # AI Configuration
 # The system uses LLM-based semantic extraction for intelligent, context-aware skill matching