Telemetry Event Reference
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Telemetry events are only reported if telemetry is enabled. A detailed explanation on the reasoning behind collecting optional telemetry events can be found in our telemetry documentation.
Model Training #
Training Started #
backend A training of a Rasa machine learning model got started. The event provides information on aggregated training data statistics. Event properties:
language(string): Language model is trained with, e.g. 'en'.training_id(string): Generated unique identifier for this training.type(string): Type of model trained, either 'nlu', 'core' or 'rasa'.pipeline(undefined): List of the pipeline configurations used for training.policies(array): List of the policy configurations used for training.num_intent_examples(integer): Number of NLU examples.num_entity_examples(integer): Number of entity examples.num_actions(integer): Number of actions defined in the domain.num_templates(integer): Number of templates or responses defined in the domain.num_conditional_response_variations(integer): Number of conditional response variations defined in the domain.num_slots(integer): Number of slots defined in the domain.num_forms(integer): Number of forms defined in the domain.num_intents(integer): Number of intents defined in the domain.num_entities(integer): Number of entities defined in the domain.num_story_steps(integer): Number of story steps available.num_lookup_tables(integer): Number of different lookup tables.num_synonyms(integer): Total number of entity synonyms defined.num_regexes(integer): Total number of regexes defined.is_finetuning(boolean): True if a model is trained by finetuning an existing model.
Training Completed #
backend The training of a Rasa machine learning model finished. The event provides information about the resulting model. Event properties:
training_id(string): Generated unique identifier for this training. Can be used to join with 'Training Started'.type(string): Type of model trained, either 'nlu', 'core' or 'rasa'.runtime(integer): The time in seconds it took to train the model.
Model Testing #
Model Core Tested #
backend Triggered when a Core model is getting tested. Event properties:
project(string,null): Fingerprint of the project the tested model got trained in.num_story_steps(integer): Number of story steps used for testingend_to_end(boolean): Indicates if tests are running in end-to-end mode, testing message handling and dialogue handling at the same time.
Model NLU Tested #
backend Triggered when an NLU model is getting tested. Event properties:
num_intent_examples(integer): Number of NLU examples.num_entity_examples(integer): Number of entity examples.num_lookup_tables(integer): Number of different lookup tables.num_synonyms(integer): Total number of entity synonyms defined.num_regexes(integer): Total number of regexes defined.
Model Serving #
Interactive Learning Started #
backend Triggered when an interactive learning session got started. Event properties:
skip_visualization(boolean): Whether the visualization of stories should be shown during the interactive learning sessionsave_in_e2e(boolean): Whether the data should be stored in end-to-end format.
Server Started #
backend Triggered when a Rasa Open Source server gets started. Event properties:
input_channels(array): Names of the used input channelsapi_enabled(boolean): Indicator if the API is enabled or if only the input channel is runningnumber_of_workers(integer): Amount of Sanic workers started as part of the serverendpoints_nlg(string,null): Type of the used NLG endpointendpoints_nlu(string,null): Type of the used NLU endpointendpoints_action_server(string,null): Type of the used action serverendpoints_model_server(string,null): Type of the used model serverendpoints_tracker_store(string,null): Type of the used tracker storeendpoints_lock_store(string,null): Type of the used lock storeendpoints_event_broker(string,null): Type of the used event brokerproject(string,null): Hash of the deployed model the server is started with.
Shell Started #
backend Triggered when a shell session is started to talk to a trained bot. Event properties:
type(string): Type of the model, either 'nlu', 'core' or 'rasa'.
Rasa X Local Started #
backend Triggered when a Rasa X is started in local mode.
Data Handling #
Training Data Split #
backend Triggered when training data gets split. Event properties:
fraction(number): Percentage of the data which goes into training data (the rest goes into the test set).type(string): Type of data, either 'nlu', 'core' or 'rasa'.
Training Data Validated #
backend Triggered when training data gets validated. Event properties:
validation_success(boolean): whether the validation was successful.
Training Data Converted #
backend Triggered when training data gets converted. Event properties:
output_format(string): target format of the converter.type(string): Type of data, either 'nlu', 'core', 'config' or 'nlg'.
Tracker Exported #
backend Triggered when conversations get exported from a tracker store through an event broker. Event properties:
event_broker(string): Name of the used event broker.tracker_store(string): Name of the used tracker store.number_of_exported_events(integer): Number of events exported through the event broker.
Story Visualization Started #
backend Triggered when stories are getting visualized.
Miscellaneous #
Telemetry Disabled #
backend Triggered when telemetry reporting gets disabled. Last event sent before disabling telemetry. This event is not sent, if the user never enabled telemetry reporting before deactivating it.
Project Created #
backend Triggered when a project is created using rasa init. Event properties:
init_directory(string): Hash of the directory path the project is created in.