Pass more tests

pyproject.toml

@@ -38,4 +38,5 @@ test = [
   "sqlalchemy",
   "ruff>=0.5.0",
   "accelerate",
+  "soundfile",
 ]

src/smolagents/agents.py

@@ -372,7 +372,9 @@ class MultiStepAgent:
         except Exception as e:
             return f"Error in generating final LLM output:\n{e}"
 
-    def execute_tool_call(self, tool_name: str, arguments: Union[Dict[str, str], str]) -> Any:
+    def execute_tool_call(
+        self, tool_name: str, arguments: Union[Dict[str, str], str]
+    ) -> Any:
         """
         Execute tool with the provided input and returns the result.
         This method replaces arguments with the actual values from the state if they refer to state variables.
@@ -515,7 +517,9 @@ You have been provided with these additional arguments, that you can access usin
                     self.planning_interval is not None
                     and step_number % self.planning_interval == 0
                 ):
-                    self.planning_step(task, is_first_step=(step_number == 0), step=step_number)
+                    self.planning_step(
+                        task, is_first_step=(step_number == 0), step=step_number
+                    )
                 console.print(
                     Rule(f"[bold]Step {step_number}", characters="━", style=YELLOW_HEX)
                 )
@@ -562,7 +566,9 @@ You have been provided with these additional arguments, that you can access usin
                     self.planning_interval is not None
                     and step_number % self.planning_interval == 0
                 ):
-                    self.planning_step(task, is_first_step=(step_number == 0), step=step_number)
+                    self.planning_step(
+                        task, is_first_step=(step_number == 0), step=step_number
+                    )
                 console.print(
                     Rule(f"[bold]Step {step_number}", characters="━", style=YELLOW_HEX)
                 )

tests/test_agents.py

@@ -62,7 +62,7 @@ class FakeToolCallModelImage:
 
         else:  # We're at step 2
             return "final_answer", "image.png", "call_1"
-    
+
 
 def fake_code_model(messages, stop_sequences=None, grammar=None) -> str:
     prompt = str(messages)
@@ -364,9 +364,7 @@ class AgentTests(unittest.TestCase):
 
     def test_multiagents(self):
         class FakeModelMultiagentsManagerAgent:
-            def __call__(
-                self, messages, stop_sequences=None, grammar=None
-            ):
+            def __call__(self, messages, stop_sequences=None, grammar=None):
                 if len(messages) < 3:
                     return """
 Thought: Let's call our search agent.
@@ -397,10 +395,11 @@ final_answer("Final report.")
                 else:
                     assert "Report on the current US president" in str(messages)
                     return (
-                    "final_answer",
-                    "Final report.",
-                    "call_0",
-                )
+                        "final_answer",
+                        "Final report.",
+                        "call_0",
+                    )
+
         manager_model = FakeModelMultiagentsManagerAgent()
 
         class FakeModelMultiagentsManagedAgent:
@@ -412,6 +411,7 @@ final_answer("Final report.")
                     {"report": "Report on the current US president"},
                     "call_0",
                 )
+
         managed_model = FakeModelMultiagentsManagedAgent()
 
         web_agent = ToolCallingAgent(
@@ -435,7 +435,7 @@ final_answer("Final report.")
 
         report = manager_code_agent.run("Fake question.")
         assert report == "Final report."
-        
+
         manager_toolcalling_agent = ToolCallingAgent(
             tools=[],
             model=manager_model,

tests/test_all_docs.py

@@ -111,10 +111,10 @@ class TestDocs:
         code_blocks = self.extractor.extract_python_code(content)
         excluded_snippets = [
             "ToolCollection",
-            "image_generation_tool", # We don't want to run this expensive operation
-            "from_langchain", # Langchain is not a dependency
-            "while llm_should_continue(memory):", # This is pseudo code
-            "ollama_chat/llama3.2" # Exclude ollama building in guided tour
+            "image_generation_tool",  # We don't want to run this expensive operation
+            "from_langchain",  # Langchain is not a dependency
+            "while llm_should_continue(memory):",  # This is pseudo code
+            "ollama_chat/llama3.2",  # Exclude ollama building in guided tour
         ]
         code_blocks = [
             block