We are working on a fix. Thanks, for pointing it out.
In the meantime, here is the definition of the
If you want to train a combined Rasa model, you need to provide the content of the domain file and the config file in the request. Additionally, the training data should be in the request body. Optionally, you can also specify the output directory and a boolean indicating whether you want to force training or not.
Here is an example request:
curl -X POST \
"config": "language: en\npipeline: supervised_embeddings\npolicies:\n - name: MemoizationPolicy\n - name: KerasPolicy",
"domain": "intents:\n - greet\n - goodbye\n - mood_affirm\n - mood_deny\n - mood_great\n - mood_unhappy\nactions:\n - utter_greet\n - utter_cheer_up\n - utter_did_that_help\n - utter_happy\n - utter_goodbye\ntemplates:\n utter_greet:\n - text: \"Hey! How are you?\"\n utter_cheer_up:\n - text: \"Here is something to cheer you up:\"\n image: \"https://i.imgur.com/nGF1K8f.jpg\"\n utter_did_that_help:\n - text: \"Did that help you?\"\n utter_happy:\n - text: \"Great carry on!\"\n utter_goodbye:\n - text: \"Bye\"",
"nlu": "## intent:greet\n - hey\n - hello\n## intent:goodbye\n - cu\n - good bye",
"stories": "## happy path\n* greet\n - utter_greet\n* mood_great\n - utter_happy\n## sad path\n* greet\n - utter_greet\n* mood_unhappy",