diff --git a/swarms/agents/models/anthropic.py b/swarms/agents/models/anthropic.py
index 803127a9..47b43db8 100644
--- a/swarms/agents/models/anthropic.py
+++ b/swarms/agents/models/anthropic.py
@@ -30,6 +30,19 @@ class Anthropic:
         return d
 
     def generate(self, prompt, stop=None):
+        """Call out to Anthropic's completion endpoint."""
+        stop = stop or []
+        params = self._default_params()
+        headers = {"Authorization": f"Bearer {self.anthropic_api_key}"}
+        data = {
+            "prompt": prompt,
+            "stop_sequences": stop,
+            **params
+        }
+        response = requests.post(f"{self.anthropic_api_url}/completions", headers=headers, json=data, timeout=self.default_request_timeout)
+        return response.json().get("completion")
+    
+    def __call__(self, prompt, stop=None):
         """Call out to Anthropic's completion endpoint."""
         stop = stop or []
         params = self._default_params()
diff --git a/swarms/agents/models/huggingface.py b/swarms/agents/models/huggingface.py
index a69a4efd..8f1cf5cc 100644
--- a/swarms/agents/models/huggingface.py
+++ b/swarms/agents/models/huggingface.py
@@ -27,6 +27,19 @@ class HuggingFaceLLM:
         except Exception as e:
             self.logger.error(f"Failed to load the model or the tokenizer: {e}")
             raise
+
+    def __call__(self, prompt_text: str, max_length: int = None):
+        max_length = max_length if max_length else self.max_length
+        try:
+            inputs = self.tokenizer.encode(prompt_text, return_tensors="pt").to(self.device)
+            with torch.no_grad():
+                outputs = self.model.generate(inputs, max_length=max_length, do_sample=True)
+            return self.tokenizer.decode(outputs[0], skip_special_tokens=True)
+        except Exception as e:
+            self.logger.error(f"Failed to generate the text: {e}")
+            raise
+
+
     def generate(self, prompt_text: str, max_length: int = None):
         max_length = max_length if max_length else self.max_length
         try:
diff --git a/swarms/agents/models/openai.py b/swarms/agents/models/openai.py
index 80bcbcbe..8edd5cd3 100644
--- a/swarms/agents/models/openai.py
+++ b/swarms/agents/models/openai.py
@@ -97,4 +97,3 @@ class OpenAI:
 #async
 # async_responses = asyncio.run(chat.ask_multiple(['id1', 'id2'], "How is {id}"))
 # print(async_responses)
-# 
\ No newline at end of file
diff --git a/swarms/agents/models/palm.py b/swarms/agents/models/palm.py
index b91af5d5..a7ee6be2 100644
--- a/swarms/agents/models/palm.py
+++ b/swarms/agents/models/palm.py
@@ -112,6 +112,26 @@ class GooglePalm(BaseModel):
             return await self.client.chat_async(**kwargs)
 
         return await _achat_with_retry(**kwargs)
+    
+    def __call__(
+        self,
+        messages: List[Dict[str, Any]],
+        stop: Optional[List[str]] = None,
+        **kwargs: Any,
+    ) -> Dict[str, Any]:
+        prompt = _messages_to_prompt_dict(messages)
+
+        response: genai.types.ChatResponse = self.chat_with_retry(
+            model=self.model_name,
+            prompt=prompt,
+            temperature=self.temperature,
+            top_p=self.top_p,
+            top_k=self.top_k,
+            candidate_count=self.n,
+            **kwargs,
+        )
+
+        return _response_to_result(response, stop)
 
     def generate(
         self,