Code works fine locally but deployment in serving endpoint gives me below error at runtime:
{"error_code": "BAD_REQUEST", "message": "Encountered an unexpected error while evaluating the model. Verify that the input is compatible with the model for inference. Error ''pydantic_core._pydantic_core.ValidationInfo' object has no attribute 'content''", "stack_trace": "Traceback (most recent call last):\n File \"/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflowserving/scoring_server/__init__.py\", line 834, in transformation\n (raw_predictions, databricks_output, fs_metrics) = _score_model(\n File \"/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflowserving/scoring_server/__init__.py\", line 509, in _score_model\n prediction, fs_metrics = score_model_maybe_with_fs_metrics(model, data, params)\n File \"/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflowserving/scoring_server/scoring_server_utils.py\", line 543, in score_model_maybe_with_fs_metrics\n return (score_pyfunc_model(model, data, params), None)\n File \"/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflowserving/scoring_server/scoring_server_utils.py\", line 548, in score_pyfunc_model\n return model.predict(data, params=params)\n File \"/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflow/pyfunc/__init__.py\", line 840, in predict\n return self._predict(data, params)\n File \"/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflow/pyfunc/__init__.py\", line 890, in _predict\n return self._predict_fn(data, params=params)\n File \"/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflow/pyfunc/loaders/chat_agent.py\", line 97, in predict\n messages, context, custom_inputs = self._convert_input(model_input)\n File \"/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflow/pyfunc/loaders/chat_agent.py\", line 64, in _convert_input\n messages = [ChatAgentMessage(**message) for message in dict_input.get(\"messages\", [])]\n File \"/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflow/pyfunc/loaders/chat_agent.py\", line 64, in <listcomp>\n messages = [ChatAgentMessage(**message) for message in dict_input.get(\"messages\", [])]\n File \"/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/pydantic/main.py\", line 250, in __init__\n validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)\n File \"/opt/conda/envs/mlflow-env/lib/python3.10/site-packages/mlflow/types/agent.py\", line 57, in check_content_and_tool_calls\n content = values.content\nAttributeError: 'pydantic_core._pydantic_core.ValidationInfo' object has no attribute 'content'. Did you mean: 'context'?\n"}
