diff --git a/genai_stack/model/__init__.py b/genai_stack/model/__init__.py
index fdd3eb4a..b9b4ad1d 100644
--- a/genai_stack/model/__init__.py
+++ b/genai_stack/model/__init__.py
@@ -3,3 +3,4 @@
 from .run import list_supported_models, get_model_class, AVAILABLE_MODEL_MAPS, run_custom_model
 from .gpt4all import Gpt4AllModel
 from .hf import HuggingFaceModel
+from .azure import AzureModel
diff --git a/genai_stack/model/azure.py b/genai_stack/model/azure.py
new file mode 100644
index 00000000..9c955976
--- /dev/null
+++ b/genai_stack/model/azure.py
@@ -0,0 +1,43 @@
+from typing import Optional, Union, Any, Dict, Tuple
+from pydantic import Field
+from langchain.chat_models import AzureChatOpenAI
+
+from genai_stack.model.base import BaseModel, BaseModelConfig, BaseModelConfigModel
+
+class AzureModelParameters(BaseModelConfigModel):
+    model_name: str = Field(default="gpt-4", alias="model")
+    azure_deployment: str 
+    temperature: float = 0.1
+    model_kwargs: Dict[str, Any] = Field(default_factory=dict)
+    api_key: str
+    openai_api_version: str = Field(default="2024-02-01",alias="api_version")
+    streaming: bool = False
+    azure_endpoint: str
+
+    
+class AzureModelConfigModel(BaseModelConfigModel):
+    """
+    Data Model for the configs
+    """
+
+    parameters: AzureModelParameters
+
+class AzureModelConfig(BaseModelConfig):
+    data_model = AzureModelConfigModel
+
+class AzureModel(BaseModel):
+    config_class = AzureModelConfig
+
+    def _post_init(self, *args, **kwargs):
+        self.model = self.load()
+
+    def load(self):
+        """
+        Using dict method here to dynamically access object attributes
+        """
+        model = AzureChatOpenAI(**self.config.parameters.dict())
+        return model
+
+    def predict(self, prompt: str):
+        response = self.model.predict(prompt)
+        return {"output": response}