IndexError: list index out of range on Rasa X Server

[Deprecated] Rasa X Community Edition
1

On Rasa x local my model works fine. When I run the same model on Rasa x server the “Talk to your bot” UI hangs with the flashing “…” and I get the following in the log

rasa-production_1  | /opt/venv/lib/python3.8/site-packages/tzlocal/unix.py:158: UserWarning: Can not find any timezone configuration, defaulting to UTC.
rasa-production_1  |   warnings.warn('Can not find any timezone configuration, defaulting to UTC.')
rasa-production_1  | /opt/venv/lib/python3.8/site-packages/rasa/utils/train_utils.py:561: UserWarning: model_confidence is set to `softmax`. It is recommended to try using `model_confidence=linear_norm` to make it easier to tune fallback thresholds.
rasa-production_1  |   rasa.shared.utils.io.raise_warning(
rasa-production_1  | 2021-11-05 19:45:42 ERROR    rasa.core.channels.rest  - An exception occured while handling user message 'weather'.
rasa-production_1  | Traceback (most recent call last):
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/channels/rest.py", line 120, in receive
rasa-production_1  |     await on_new_message(
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/channels/channel.py", line 89, in handler
rasa-production_1  |     await app.agent.handle_message(message)
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/agent.py", line 576, in handle_message
rasa-production_1  |     return await processor.handle_message(message)
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/processor.py", line 108, in handle_message
rasa-production_1  |     await self._predict_and_execute_next_action(message.output_channel, tracker)
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/processor.py", line 657, in _predict_and_execute_next_action
rasa-production_1  |     action, prediction = self.predict_next_action(tracker)
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/processor.py", line 379, in predict_next_action
rasa-production_1  |     prediction = self._get_next_action_probabilities(tracker)
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/processor.py", line 921, in _get_next_action_probabilities
rasa-production_1  |     prediction = self.policy_ensemble.probabilities_using_best_policy(
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/policies/ensemble.py", line 816, in probabilities_using_best_policy
rasa-production_1  |     winning_prediction = self._best_policy_prediction(tracker, domain, interpreter)
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/policies/ensemble.py", line 693, in _best_policy_prediction
rasa-production_1  |     predictions = {
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/policies/ensemble.py", line 694, in <dictcomp>
rasa-production_1  |     f"policy_{i}_{type(p).__name__}": self._get_prediction(
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/policies/ensemble.py", line 728, in _get_prediction
rasa-production_1  |     prediction = policy.predict_action_probabilities(
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/policies/ted_policy.py", line 692, in predict_action_probabilities
rasa-production_1  |     confidence, is_e2e_prediction = self._pick_confidence(
rasa-production_1  |   File "/opt/venv/lib/python3.8/site-packages/rasa/core/policies/ted_policy.py", line 652, in _pick_confidence
rasa-production_1  |     predicted_action_name = domain.action_names_or_texts[np.argmax(confidences[0])]
rasa-production_1  | IndexError: list index out of range
2

What version of Rasa X & OSS are you running locally & on server mode? How did you deploy server mode - helm charts?

These logs:

rasa-production_1  | 2021-11-05 19:45:42 ERROR    rasa.core.channels.rest  - An exception occurred while handling user message 'weather'.

indicate the rest channel; talk to your bot would target the rasa channel. Are you talking to the bot over rest?

3

Sorry, I didn’t think this question was going to get a response so I uninstalled and reinstalled Rasa X. I also increased the AWS instance resources. Seems to work now.

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