Fix input interpolation bug (#369)

src/crewai/agent.py

@@ -116,6 +116,10 @@ class Agent(BaseModel):
         default=None, description="Callback to be executed"
     )
 
+    _original_role: str | None = None
+    _original_goal: str | None = None
+    _original_backstory: str | None = None
+
     def __init__(__pydantic_self__, **data):
         config = data.pop("config", {})
         super().__init__(**config, **data)
@@ -282,10 +286,17 @@ def create_agent_executor(self, tools=None) -> None:
 
     def interpolate_inputs(self, inputs: Dict[str, Any]) -> None:
         """Interpolate inputs into the agent description and backstory."""
+        if self._original_role is None:
+            self._original_role = self.role
+        if self._original_goal is None:
+            self._original_goal = self.goal
+        if self._original_backstory is None:
+            self._original_backstory = self.backstory
+
         if inputs:
-            self.role = self.role.format(**inputs)
-            self.goal = self.goal.format(**inputs)
-            self.backstory = self.backstory.format(**inputs)
+            self.role = self._original_role.format(**inputs)
+            self.goal = self._original_goal.format(**inputs)
+            self.backstory = self._original_backstory.format(**inputs)
 
     def increment_formatting_errors(self) -> None:
         """Count the formatting errors of the agent."""

src/crewai/task.py

@@ -71,6 +71,9 @@ class Config:
         description="Unique identifier for the object, not set by user.",
     )
 
+    _original_description: str | None = None
+    _original_expected_output: str | None = None
+
     def __init__(__pydantic_self__, **data):
         config = data.pop("config", {})
         super().__init__(**config, **data)
@@ -189,9 +192,14 @@ def prompt(self) -> str:
 
     def interpolate_inputs(self, inputs: Dict[str, Any]) -> None:
         """Interpolate inputs into the task description and expected output."""
+        if self._original_description is None:
+            self._original_description = self.description
+        if self._original_expected_output is None:
+            self._original_expected_output = self.expected_output
+
         if inputs:
-            self.description = self.description.format(**inputs)
-            self.expected_output = self.expected_output.format(**inputs)
+            self.description = self._original_description.format(**inputs)
+            self.expected_output = self._original_expected_output.format(**inputs)
 
     def increment_tools_errors(self) -> None:
         """Increment the tools errors counter."""

tests/agent_test.py

@@ -680,3 +680,21 @@ def test_agent_definition_based_on_dict():
     assert agent.backstory == "test backstory"
     assert agent.verbose == True
     assert agent.tools == []
+
+
+def test_interpolate_inputs():
+    agent = Agent(
+        role="{topic} specialist",
+        goal="Figure {goal} out",
+        backstory="I am the master of {role}",
+    )
+
+    agent.interpolate_inputs({"topic": "AI", "goal": "life", "role": "all things"})
+    assert agent.role == "AI specialist"
+    assert agent.goal == "Figure life out"
+    assert agent.backstory == "I am the master of all things"
+
+    agent.interpolate_inputs({"topic": "Sales", "goal": "stuff", "role": "nothing"})
+    assert agent.role == "Sales specialist"
+    assert agent.goal == "Figure stuff out"
+    assert agent.backstory == "I am the master of nothing"

tests/task_test.py

@@ -462,3 +462,24 @@ def test_task_definition_based_on_dict():
     assert task.description == config["description"]
     assert task.expected_output == config["expected_output"]
     assert task.agent is None
+
+
+def test_interpolate_inputs():
+    task = Task(
+        description="Give me a list of 5 interesting ideas about {topic} to explore for an article, what makes them unique and interesting.",
+        expected_output="Bullet point list of 5 interesting ideas about {topic}.",
+    )
+
+    task.interpolate_inputs(inputs={"topic": "AI"})
+    assert (
+        task.description
+        == "Give me a list of 5 interesting ideas about AI to explore for an article, what makes them unique and interesting."
+    )
+    assert task.expected_output == "Bullet point list of 5 interesting ideas about AI."
+
+    task.interpolate_inputs(inputs={"topic": "ML"})
+    assert (
+        task.description
+        == "Give me a list of 5 interesting ideas about ML to explore for an article, what makes them unique and interesting."
+    )
+    assert task.expected_output == "Bullet point list of 5 interesting ideas about ML."