added a reasoning model that can be called via a post request

reasoning_flask_app/main.py

@@ -0,0 +1,35 @@
+from flask import Flask, request, jsonify
+import openai  # Using OpenAI model for reasoning
+import os
+from dotenv import load_dotenv
+from openai import OpenAI
+# Load environment variables
+load_dotenv()
+
+app = Flask(__name__)
+
+@app.route("/reason", methods=["POST"])
+def reason():
+    try:
+        data = request.get_json()
+        if not data or "query" not in data:
+            return jsonify({"error": "Missing 'query' in request"}), 400
+
+        query = data["query"]
+        openai.api_key = os.getenv("OPENAI_API_KEY")  # Use API key from environment
+        client = OpenAI()
+        response = client.chat.completions.create(
+            model="o1-mini",
+            messages=[
+                {"role": "developer", "content": "You are a helpful assistant."},
+                {"role": "user", "content": query}
+            ]
+            max_completion_tokens=150
+        )
+
+        return jsonify({"response": response.choices[0].message.content})
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=5050, debug=True)