diff --git a/handler.py b/handler.py
index 64ae435..5b5b62e 100644
--- a/handler.py
+++ b/handler.py
@@ -5,11 +5,14 @@
 # This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
 # You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.
 
-from    bottle                  import Bottle, route
+from    bottle                  import Bottle, route, request, response
 from    config                  import directory
 
+import json
+
 import  templates.plain.main	as template_public
 import  modules.public.home     as public_home
+import  modules.api.qna		as api_qna
 
 app = Bottle()
 
@@ -21,3 +24,16 @@ def index():
         }
     }
     return public_home.main().html(params)
+
+@app.route('/api/synthesisgen/ask', method=['OPTIONS', 'POST'])
+def index():
+    try:
+        if request.method == 'OPTIONS':
+            return None
+        else:
+            response.content_type = 'application/json'
+            params = request.json
+            return json.dumps(api_qna.qna().ask(params), indent = 2).encode()
+    except Exception as e:
+        print(str(e),flush=True)
+        return json.dumps({}, indent = 2).encode()
diff --git a/modules/api/qna.py b/modules/api/qna.py
new file mode 100755
index 0000000..7eb0c66
--- /dev/null
+++ b/modules/api/qna.py
@@ -0,0 +1,35 @@
+import	ollama
+
+from    scripts		import 	loggorilla, synthesai
+
+class qna:
+
+    def __init__(self):
+        pass
+
+    def ask(self, params):
+        APIADDR		= "ASK"
+        sysrole		= params['sysrole'	]
+        question 	= params['question'	]
+        model		= "deepseek-r1:7b"
+        history		= [
+            { "role" : "system", "content" : sysrole },
+            { "role" : "user", "content" : question }
+        ]
+        loggorilla.prcss(APIADDR, "Processing AI")
+        result		= ollama.chat(model=model, messages=history, stream=False)
+        #for chunk in result:
+        #    print(chunk['message']['content'], end='', flush=True)
+        loggorilla.prcss(APIADDR, "Processing AI finish")
+        loggorilla.fyinf(APIADDR, result['message']['content'])
+        history.append({ "role" : "assistant", "content" : result['message']['content'] })
+        return {
+            "content" : result['message']['content'],
+            "history" : history
+        }
+
+
+
+
+
+