Fix `vlm_web_browser.py` example (#410)

* Update `vlm_web_browser.py` example
Fixed a typo which meant that the images were never being remove for lean processing

---------

Co-authored-by: Aymeric <aymeric.roucher@gmail.com>

examples/vlm_web_browser.py

@@ -72,22 +72,24 @@ else:
 
 
 # Prepare callback
-def save_screenshot(step_log: ActionStep, agent: CodeAgent) -> None:
+def save_screenshot(memory_step: ActionStep, agent: CodeAgent) -> None:
     sleep(1.0)  # Let JavaScript animations happen before taking the screenshot
     driver = helium.get_driver()
-    current_step = step_log.step_number
+    current_step = memory_step.step_number
     if driver is not None:
-        for step_logs in agent.logs:  # Remove previous screenshots from logs for lean processing
-            if isinstance(step_log, ActionStep) and step_log.step_number <= current_step - 2:
-                step_logs.observations_images = None
+        for previous_memory_step in agent.memory.steps:  # Remove previous screenshots from logs for lean processing
+            if isinstance(previous_memory_step, ActionStep) and previous_memory_step.step_number <= current_step - 2:
+                previous_memory_step.observations_images = None
         png_bytes = driver.get_screenshot_as_png()
         image = Image.open(BytesIO(png_bytes))
         print(f"Captured a browser screenshot: {image.size} pixels")
-        step_log.observations_images = [image.copy()]  # Create a copy to ensure it persists, important!
+        memory_step.observations_images = [image.copy()]  # Create a copy to ensure it persists, important!
 
     # Update observations with current URL
     url_info = f"Current url: {driver.current_url}"
-    step_log.observations = url_info if step_logs.observations is None else step_log.observations + "\n" + url_info
+    memory_step.observations = (
+        url_info if memory_step.observations is None else memory_step.observations + "\n" + url_info
+    )
     return
 
 

src/smolagents/agents.py

@@ -225,8 +225,8 @@ class MultiStepAgent:
         the LLM.
         """
         messages = self.memory.system_prompt.to_messages(summary_mode=summary_mode)
-        for step_log in self.memory.steps:
-            messages.extend(step_log.to_messages(summary_mode=summary_mode))
+        for memory_step in self.memory.steps:
+            messages.extend(memory_step.to_messages(summary_mode=summary_mode))
         return messages
 
     def extract_action(self, model_output: str, split_token: str) -> Tuple[str, str]:
@@ -413,12 +413,12 @@ You have been provided with these additional arguments, that you can access usin
         self.memory.steps.append(TaskStep(task=self.task, task_images=images))
         if single_step:
             step_start_time = time.time()
-            step_log = ActionStep(start_time=step_start_time, observations_images=images)
-            step_log.end_time = time.time()
-            step_log.duration = step_log.end_time - step_start_time
+            memory_step = ActionStep(start_time=step_start_time, observations_images=images)
+            memory_step.end_time = time.time()
+            memory_step.duration = memory_step.end_time - step_start_time
 
             # Run the agent's step
-            result = self.step(step_log)
+            result = self.step(memory_step)
             return result
 
         if stream:
@@ -439,7 +439,7 @@ You have been provided with these additional arguments, that you can access usin
         self.step_number = 0
         while final_answer is None and self.step_number < self.max_steps:
             step_start_time = time.time()
-            step_log = ActionStep(
+            memory_step = ActionStep(
                 step_number=self.step_number,
                 start_time=step_start_time,
                 observations_images=images,
@@ -461,41 +461,40 @@ You have been provided with these additional arguments, that you can access usin
                 )
 
                 # Run one step!
-                final_answer = self.step(step_log)
+                final_answer = self.step(memory_step)
             except AgentError as e:
-                step_log.error = e
+                memory_step.error = e
             finally:
-                step_log.end_time = time.time()
-                step_log.duration = step_log.end_time - step_start_time
-                self.memory.steps.append(step_log)
+                memory_step.end_time = time.time()
+                memory_step.duration = memory_step.end_time - step_start_time
+                self.memory.steps.append(memory_step)
                 for callback in self.step_callbacks:
                     # For compatibility with old callbacks that don't take the agent as an argument
                     if len(inspect.signature(callback).parameters) == 1:
-                        callback(step_log)
+                        callback(memory_step)
                     else:
-                        callback(step_log=step_log, agent=self)
+                        callback(memory_step, agent=self)
                 self.step_number += 1
-                yield step_log
+                yield memory_step
 
         if final_answer is None and self.step_number == self.max_steps:
             error_message = "Reached max steps."
             final_answer = self.provide_final_answer(task, images)
-            final_step_log = ActionStep(
+            final_memory_step = ActionStep(
                 step_number=self.step_number, error=AgentMaxStepsError(error_message, self.logger)
             )
-            self.logger.log(final_step_log)
-            final_step_log = ActionStep(error=AgentMaxStepsError(error_message, self.logger))
-            final_step_log.action_output = final_answer
-            final_step_log.end_time = time.time()
-            final_step_log.duration = step_log.end_time - step_start_time
-            self.memory.steps.append(final_step_log)
+            final_memory_step = ActionStep(error=AgentMaxStepsError(error_message, self.logger))
+            final_memory_step.action_output = final_answer
+            final_memory_step.end_time = time.time()
+            final_memory_step.duration = memory_step.end_time - step_start_time
+            self.memory.steps.append(final_memory_step)
             for callback in self.step_callbacks:
                 # For compatibility with old callbacks that don't take the agent as an argument
                 if len(inspect.signature(callback).parameters) == 1:
-                    callback(final_step_log)
+                    callback(final_memory_step)
                 else:
-                    callback(step_log=final_step_log, agent=self)
-            yield final_step_log
+                    callback(final_memory_step, agent=self)
+            yield final_memory_step
 
         yield handle_agent_output_types(final_answer)
 

src/smolagents/memory.py

@@ -105,7 +105,8 @@ class ActionStep(MemoryStep):
                 )
             else:
                 tool_response_message = Message(
-                    role=MessageRole.TOOL_RESPONSE, content=f"Call id: {self.tool_calls[0].id}\n{message_content}"
+                    role=MessageRole.TOOL_RESPONSE,
+                    content=[{"type": "text", "text": f"Call id: {self.tool_calls[0].id}\n{message_content}"}],
                 )
 
             messages.append(tool_response_message)
@@ -114,7 +115,12 @@ class ActionStep(MemoryStep):
                 messages.append(
                     Message(
                         role=MessageRole.TOOL_RESPONSE,
-                        content=f"Call id: {self.tool_calls[0].id}\nObservation:\n{self.observations}",
+                        content=[
+                            {
+                                "type": "text",
+                                "text": f"Call id: {self.tool_calls[0].id}\nObservation:\n{self.observations}",
+                            }
+                        ],
                     )
                 )
         if self.observations_images: