fix: Serialize Exception objects in ActionErrorResult

- Replaced `error` field in `ActionErrorResult` with `ErrorInfo` model.
- Implemented `ErrorInfo` model with necessary fields (`args`, `message`, `exception_type`, `_repr`).
- Added `from_exception` method to `ErrorInfo` model to create an instance from an Exception object.
- Updated `ActionErrorResult.from_exception` method to utilize `ErrorInfo.from_exception`.
- Ensured that `ActionErrorResult` is now fully serializable and won't cause crashes.
- Made necessary changes in code comments and documentation.

This commit fixes crashes caused by attempted serialiation of `AgentException` objects in the `ActionHistory` (as part of `ActionErrorResult`s). To this end, it introduces a new `ErrorInfo` model to encapsulate information about the exception, including the exception type, message, arguments, and representation. The `from_exception` method is added to both `ActionErrorResult` and `ErrorInfo` to create an `ActionErrorResult` object from an exception, extracting the relevant information.

autogpts/autogpt/autogpt/agents/agent.py

@@ -243,7 +243,7 @@ class Agent(
 
                 result = ActionSuccessResult(outputs=return_value)
             except AgentException as e:
-                result = ActionErrorResult(reason=e.message, error=e)
+                result = ActionErrorResult.from_exception(e)
 
             result_tlength = self.llm_provider.count_tokens(str(result), self.llm.name)
             if result_tlength > self.send_token_limit // 3:

autogpts/autogpt/autogpt/agents/planning_agent.py

@@ -276,7 +276,7 @@ class PlanningAgent(ContextMixin, FileWorkspaceMixin, BaseAgent):
 
                 result = ActionSuccessResult(outputs=return_value)
             except AgentException as e:
-                result = ActionErrorResult(reason=e.message, error=e)
+                result = ActionErrorResult.from_exception(e)
 
             result_tlength = count_string_tokens(str(result), self.llm.name)
             memory_tlength = count_string_tokens(

autogpts/autogpt/autogpt/models/action_history.py

@@ -26,12 +26,40 @@ class ActionSuccessResult(BaseModel):
         return f"```\n{self.outputs}\n```" if multiline else str(self.outputs)
 
 
-# FIXME: implement validators instead of allowing arbitrary types
-class ActionErrorResult(BaseModel, arbitrary_types_allowed=True):
+class ErrorInfo(BaseModel):
+    args: tuple
+    message: str
+    exception_type: str
+    _repr: str
+
+    @staticmethod
+    def from_exception(exception: Exception) -> ErrorInfo:
+        return ErrorInfo(
+            args=exception.args,
+            message=getattr(exception, "message", exception.args[0]),
+            exception_type=exception.__class__.__name__,
+            _repr=repr(exception),
+        )
+
+    def __str__(self):
+        return repr(self)
+
+    def __repr__(self):
+        return self._repr
+
+
+class ActionErrorResult(BaseModel):
     reason: str
-    error: Optional[Exception] = None
+    error: Optional[ErrorInfo] = None
     status: Literal["error"] = "error"
 
+    @staticmethod
+    def from_exception(exception: Exception) -> ActionErrorResult:
+        return ActionErrorResult(
+            reason=getattr(exception, "message", exception.args[0]),
+            error=ErrorInfo.from_exception(exception),
+        )
+
     def __str__(self) -> str:
         return f"Action failed: '{self.reason}'"