diff --git a/src/ai_integration/openai_integration.py b/src/ai_integration/openai_integration.py
new file mode 100644
index 0000000..009881c
--- /dev/null
+++ b/src/ai_integration/openai_integration.py
@@ -0,0 +1,48 @@
+
+import requests
+import json
+import os
+
+# Define a class to handle OpenAI integration
+class OpenAIIntegration:
+    def __init__(self):
+        # Fetch the API key securely, assuming an environment variable exists for this purpose
+        self.api_key = os.getenv("OPENAI_API_KEY")
+        if not self.api_key:
+            raise ValueError("API key for OpenAI is not defined in environment variables.")
+
+    def process_conversation(self, message):
+        """
+        Process a conversation message using OpenAI's API.
+
+        Parameters:
+        message (str): the user's input message to process.
+
+        Returns:
+        str: the AI-generated response to the input message.
+        """
+        url = "https://api.openai.com/v1/engines/davinci-codex/completions"
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json"
+        }
+        payload = {
+            "prompt": message,
+            "max_tokens": 150
+        }
+        try:
+            response = requests.post(url, headers=headers, json=payload)
+            response.raise_for_status()  # raise exception for bad requests
+            data = response.json()
+            ai_response = data["choices"][0]["text"].strip() if data["choices"] else ''
+            return ai_response
+        except requests.exceptions.RequestException as e:
+            print(f"Failed to get response from OpenAI: {e}")
+            return "There was an error processing your request. Please try again later."
+
+# Assuming other parts of the program might instantiate and use this
+if __name__ == "__main__":
+    ai_integration = OpenAIIntegration()
+    sample_message = "Hello OpenAI, can you help me write better Python code?"
+    response = ai_integration.process_conversation(sample_message)
+    print("AI Response:", response)
diff --git a/src/api_handlers/file_handler.py b/src/api_handlers/file_handler.py
new file mode 100644
index 0000000..ddd71e1
--- /dev/null
+++ b/src/api_handlers/file_handler.py
@@ -0,0 +1,28 @@
+
+import logging
+
+# Set up logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+def handle_file_events():
+    """
+    Handles specific file-related events and processes accordingly.
+    
+    Returns a dictionary with the status of the operations.
+    """
+    try:
+        # Simulate file processing logic
+        logging.info("Starting file event processing.")
+        
+        # Simulate a file event handling process with a debug log
+        logging.debug("Processing file event.")
+
+        # After processing logic
+        logging.info("File event processed successfully.")
+        
+        return {"status": "File processed", "success": True}
+    except Exception as e:
+        logging.error("Failed to process file event", exc_info=True)
+        return {"status": "File processing failed", "success": False, "error": str(e)}
+
+# This function can be now integrated or tested with actual file events.
diff --git a/src/api_handlers/mention_handler.py b/src/api_handlers/mention_handler.py
new file mode 100644
index 0000000..24e3e78
--- /dev/null
+++ b/src/api_handlers/mention_handler.py
@@ -0,0 +1,13 @@
+
+def handle_app_mention_events():
+    """
+    Process an application mention event.
+    
+    Returns:
+        dict: A dictionary with the status of the mention processing.
+    """
+    # Placeholder logic for handling an app mention - currently, we're just returning a success message.
+    # In a more complex scenario, this function would interact with other parts of the application,
+    # such as user management, message parsing, and response generation.
+    
+    return {"status": "Mention processed"}
diff --git a/src/api_handlers/message_handler.py b/src/api_handlers/message_handler.py
new file mode 100644
index 0000000..eeb8af3
--- /dev/null
+++ b/src/api_handlers/message_handler.py
@@ -0,0 +1,12 @@
+
+def handle_message_events():
+    """
+    Process incoming message events and return the status.
+
+    This function simulates the processing of message events and returns a dictionary indicating the result of such a process.
+
+    Returns:
+        dict: A dictionary containing the status of the message processing.
+    """
+    # Placeholder for actual message handling logic, returning a simulation of successful processing
+    return {"status": "Message processed"}
diff --git a/src/app.py b/src/app.py
new file mode 100644
index 0000000..4c45f15
--- /dev/null
+++ b/src/app.py
@@ -0,0 +1,19 @@
+
+from fastapi import FastAPI
+from api_handlers.message_handler import handle_message_events
+from api_handlers.mention_handler import handle_app_mention_events
+from api_handlers.file_handler import handle_file_events
+
+app = FastAPI()
+
+@app.post("/events/message/")
+async def message_event():
+    return handle_message_events()
+
+@app.post("/events/mention/")
+async def mention_event():
+    return handle_app_mention_events()
+
+@app.post("/events/file/")
+async def file_event():
+    return handle_file_events()
diff --git a/src/main.py b/src/main.py
new file mode 100644
index 0000000..1faf228
--- /dev/null
+++ b/src/main.py
@@ -0,0 +1,6 @@
+
+import uvicorn
+from app import app
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=8000)