Implemented vibecoding functionality for llmchat

deck/llm.py

@@ -111,6 +111,40 @@ class LLMChat:
       if len(self.messages) > 0: self.messages.pop()
       return (False, f"Error: {e}")
 
+  def get_last_response(self):
+    """
+    Get the most recent assistant's response.
+    """
+    idx = len(self.messages) - 1
+    while idx > 0 and self.messages[idx]['role'] != 'assistant':
+      idx -= 1
+    if idx == 0:
+      return (False, 'No assistant messages detected')
+    else:
+      return (True, self.messages[idx]['content'])
+
+  def export(self):
+    """
+    Export the entire conversation as a string.
+    """
+    out = ''
+    for msg in self.messages:
+      out += f'{msg['role']}: {msg['content'].strip()}\n'
+    return (True, out.strip())
+
+  def add_file(self, fname):
+    """
+    Add a (text) file to the context.
+    """
+    try:
+      with open(fname, 'r') as f:
+        text = f.read()
+        prompt = f'Contents of the file {fname}:\n\n{text}'
+        self.messages.append({'role': 'user', 'content': prompt})
+        return (True, 'File content added')
+    except:
+      return (False, 'Could not read the file')
+
   def list_models(self):
     """
     Lists available models for the active provider.