diff --git a/config.json.example b/config.json.example
index ec80d7e..4e67c5c 100644
--- a/config.json.example
+++ b/config.json.example
@@ -8,7 +8,7 @@
         ]
     },
     "ollama-vlm": {
-        "base_url": "https://ollama.com",
+        "base_url": "https://ollama.com/v1/chat/completions",
         "api_key": "",
         "timeout": 120,
         "models": [
@@ -16,7 +16,7 @@
         ]
     },
     "ollama-llm": {
-        "base_url": "https://ollama.com",
+        "base_url": "https://ollama.com/v1/chat/completions",
         "api_key": "",
         "timeout": 120,
         "models": [
diff --git a/ollama/ollama_llm_node.py b/ollama/ollama_llm_node.py
index c078781..30d0cd3 100644
--- a/ollama/ollama_llm_node.py
+++ b/ollama/ollama_llm_node.py
@@ -102,7 +102,7 @@ class OllamaLLM(io.ComfyNode):
             raise ValueError("User prompt cannot be empty")
 
         base_url, api_key, timeout = _load_config_credentials()
-        api_url = base_url+"/api/chat"
+        api_url = base_url
 
         # 生成会话标识符（基于模型和系统提示词）
         session_key = f"{model}_{hash(system_prompt) if system_prompt else 'no_system'}"
@@ -175,29 +175,43 @@ class OllamaLLM(io.ComfyNode):
         except Exception as json_exception:
             # print(f"JSON解析失败：{json_exception}")
             raise ValueError(f'The API returned a JSON parsing failure')
-        # 解析响应数据
-        if "message" in data and data["message"]:
-            message = data.get("message", {})
-            content = message.get("content", "")
 
-            # 如果启用了上下文持久化，将助手的回复添加到历史记录
-            if persist_context and session_key in cls._conversation_history:
-                cls._conversation_history[session_key].append({
-                    "role": "assistant",
-                    "content": content
-                })
+        # 解析响应数据 - OpenAI兼容接口格式
+        if "choices" not in data:
+            raise ValueError(f'Missing "choices" field in API response')
 
-            # 获取历史对话记录并转换为JSON字符串
-            history_conversation = ""
-            if persist_context and session_key in cls._conversation_history:
-                history_conversation = json.dumps(cls._conversation_history[session_key], ensure_ascii=False)
-            else:
-                history_conversation = "[]"
+        choices = data["choices"]
+        if not choices or not isinstance(choices, list) or len(choices) == 0:
+            raise ValueError(f'Empty or invalid "choices" array in API response')
 
-            # 返回当前内容和历史对话JSON字符串
-            return io.NodeOutput(content, history_conversation)
+        first_choice = choices[0]
+        if not isinstance(first_choice, dict):
+            raise ValueError(f'Invalid choice format in API response')
+
+        message = first_choice.get("message", {})
+        if not message:
+            raise ValueError(f'Missing "message" field in API response')
+
+        content = message.get("content", "")
+        if not content:
+            raise ValueError(f'Empty content in API response')
+
+        # 如果启用了上下文持久化，将助手的回复添加到历史记录
+        if persist_context and session_key in cls._conversation_history:
+            cls._conversation_history[session_key].append({
+                "role": "assistant",
+                "content": content
+            })
+
+        # 获取历史对话记录并转换为JSON字符串
+        history_conversation = ""
+        if persist_context and session_key in cls._conversation_history:
+            history_conversation = json.dumps(cls._conversation_history[session_key], ensure_ascii=False)
         else:
-            raise ValueError(f'Content data not found')
+            history_conversation = "[]"
+
+        # 返回当前内容和历史对话JSON字符串
+        return io.NodeOutput(content, history_conversation)
 
 # 设置 web 目录，该目录中的任何 .js 文件都将被前端加载为前端扩展
 # WEB_DIRECTORY = "./somejs"
diff --git a/ollama/ollama_vlm_node.py b/ollama/ollama_vlm_node.py
index 718b32c..81c6d8f 100644
--- a/ollama/ollama_vlm_node.py
+++ b/ollama/ollama_vlm_node.py
@@ -111,7 +111,7 @@ class OllamaVLM(io.ComfyNode):
             raise ValueError("User prompt cannot be empty")
 
         base_url, api_key, timeout = _load_config_credentials()
-        api_url = base_url+"/api/chat"
+        api_url = base_url
         payload = {
             "model": model,
             "messages": [],
@@ -126,8 +126,16 @@ class OllamaVLM(io.ComfyNode):
         image_base64 = tensor_to_base64_string(image)
         user_message  ={
             "role": "user",
-            "content": user_prompt,
-            "images":[image_base64]
+            "content": [
+                {
+                    "type": "text",
+                    "text": user_prompt
+                },
+                {
+                    "type": "image_url",
+                    "image_url": f"data:image/png;base64,{image_base64}"
+                }
+            ]
         }
         payload["messages"].append(user_message)
         try:
@@ -141,7 +149,7 @@ class OllamaVLM(io.ComfyNode):
             print(resp)
             return cls._parse_response(resp)
         except Exception as e:
-            raise ValueError(f'The API request failed:'+{e})
+            raise ValueError(f'The API request failed:{e}')
     # 解析response 返回内容
     @classmethod
     def _parse_response(cls,resp):
@@ -156,13 +164,27 @@ class OllamaVLM(io.ComfyNode):
         except Exception as json_exception:
             # print(f"JSON解析失败：{json_exception}")
             raise ValueError(f'The API returned a JSON parsing failure')
-        # 解析响应数据
-        if "message" in data and data["message"]:
-            message = data.get("message", {})
-            content = message.get("content","")
-            return io.NodeOutput(content)
-        else:
-            raise ValueError(f'Content data not found')
+        # 解析响应数据 - OpenAI兼容接口格式
+        if "choices" not in data:
+            raise ValueError(f'Missing "choices" field in API response')
+
+        choices = data["choices"]
+        if not choices or not isinstance(choices, list) or len(choices) == 0:
+            raise ValueError(f'Empty or invalid "choices" array in API response')
+
+        first_choice = choices[0]
+        if not isinstance(first_choice, dict):
+            raise ValueError(f'Invalid choice format in API response')
+
+        message = first_choice.get("message", {})
+        if not message:
+            raise ValueError(f'Missing "message" field in API response')
+
+        content = message.get("content", "")
+        if not content:
+            raise ValueError(f'Empty content in API response')
+
+        return io.NodeOutput(content)
 
 # 设置 web 目录，该目录中的任何 .js 文件都将被前端加载为前端扩展
 # WEB_DIRECTORY = "./somejs"