domain.yml

version: "2.0"
session_config:
  session_expiration_time: 480  # value in minutes, 0 means infinitely long
  carry_over_slots_to_new_session: true  # set to false to forget slots between sessions
intents:
- affirm
- ask_how_contribute
- ask_question_in_forum
- ask_when_next_event
- ask_which_events
- ask_why_contribute
- bye
- canthelp
- chitchat:
    use_entities: []
- contact_sales
- deny
- enter_data:
    use_entities: []
- explain
- faq:
    use_entities: ["product"]
- feedback
- get_started_step1
- get_started_step2
- get_started_step3
- get_started_step4
- greet
- how_to_get_started
- human_handoff
- install_rasa
- need_help_broad
- next_step
- nlu_generation_tool_recommendation
- nlu_info
- out_of_scope
- pipeline_recommendation
- react_negative
- react_positive
- restart
- signup_newsletter
- source_code
- suggestion
- switch
- technical_question
- thank
- trigger_rephrase
- why_rasa
entities:
- amount-of-money
- company
- current_api
- email
- entity
- feedback_value
- job_function
- language
- location
- name
- nlu_part
- number
- product
- user_type
slots:
  budget:
    type: any
  business_email:
    type: any
  can_use_spacy:
    type: bool
  company:
    type: any
  current_api:
    type: categorical
    values:
    - dialogflow
    - luis
  email:
    type: any
  entity_extractor:
    type: categorical
    values:
    - crfentityextractor
    - spacyentityextractor
    - ducklinghttpextractor
  feedback_message:
    type: any
  feedback_value:
    type: categorical
    values:
    - positive
    - negative
  job_function:
    type: any
  language:
    type: categorical
    values:
      - english
  name:
    type: text
  nlu_part:
    type: categorical
    values:
    - entity recognition
    - intent classification
    - duckling
  onboarding:
    type: bool
  person_name:
    type: any
  problem_description:
    type: text
  product:
    type: categorical
    values:
    - core
    - nlu
    - x
    - rasa
    - all
  shown_privacy:
    type: any
  step:
    type: any
  suggestion:
    type: any
  unknown_nlu_part:
    type: any
  unknown_product:
    type: any
  use_case:
    type: any
  docs_found:
    type: bool
  faq:
    type: any
responses:
  utter_already_subscribed:
  - text: Looks like {email} is already subscribed - good choice! If you haven't received
      a newsletter in a while, maybe check your spam folder 🗑
  utter_also_explain_core:
  - text: Would you also like me to explain Core?
  utter_also_explain_nlu:
  - text: Would you also like me to explain NLU?
  utter_also_explain_nlucore:
  - text: Would you also like me to explain NLU and Core?
  utter_anything_else:
  - text: Is there anything else I can help you with?
  utter_ask_budget:
  - text: What's your annual budget for conversational AI? 💸
  utter_ask_business_email:
  - text: What's your business email?
  utter_ask_company:
  - text: What company do you work for?
  utter_ask_continue_newsletter:
  - text: Do you still want to subscribe to the newsletter?
  utter_ask_continue_rasa_init:
  - text: Do you want to go ahead with the steps to create a contextual assistant?
  utter_ask_continue_sales:
  - text: Do you still want to talk to sales?
  utter_ask_describe_problem:
  - text: Can you describe the problem you're having?
  utter_ask_docs_help:
  - buttons:
    - payload: /affirm
      title: 👍
    - payload: /deny
      title: 👎
    text: Did that help?
  utter_ask_email:
  - text: What's your email address?
  utter_ask_entities:
  - text: What kind of entities do you want to extract?
  utter_ask_explain_nlucorex:
  - text: Would you like to know more about Rasa Open Source or Rasa X?
  utter_ask_feedback:
  - buttons:
    - payload: '/feedback{{"feedback_value": "positive"}}'
      title: 👍
    - payload: '/feedback{{"feedback_value": "negative"}}'
      title: 👎
    text: How is this conversation going?
  utter_ask_feedback_message:
  - text: I'm sorry I couldn't help you. Please let me know if you have any suggestions
      for how I can improve.
  utter_ask_for_nlu_specifics:
  - text: Anything in particular you'd like to know about, e.g. intent classification
      or entity recognition?
  utter_ask_goal:
  - text: If you're new to Rasa, I can help you get started! If you've already started
      building an assistant, you can also ask me about the different parts of Rasa 🐦
  utter_ask_if_problem:
  - text: Did you encounter any problems during installation?
  utter_ask_job_function:
  - text: What's your job? 🕴
  utter_ask_migration:
  - text: Are you migrating from another tool?
  utter_ask_name:
  - text: What's your name?
  utter_ask_person_name:
  - text: What's your name?
  utter_ask_use_case:
  - text: What kind of assistant do you want to build with Rasa?
  utter_ask_which_product:
  - text: Ok, which product would you like to know more about? Rasa Open Source or Rasa X?
  utter_ask_which_tool:
  - text: Which tool are you migrating from?
  utter_awesome:
  - text: Awesome, thanks! 👍
  - text: Sweet, thank you! 😄
  - text: Thanks! 👌
  - text: Cool, thank you!
  utter_built_bot_before:
  - text: And have you built a contextual assistant or a bot before?
  utter_bye:
  - text: Goodbye!
  - text: Bye!
  - text: Ciao!
  - text: Bye, was nice talking to you!
  - text: Bye bye!
  utter_can_do:
  - text: Sure thing!
  - text: Can do!
  - text: You got it. 👍
  utter_canthelp:
  - text: I'm sorry I couldn't help you. If you have general questions about Rasa,
      please head to our [forum](https://forum.rasa.com/), otherwise contact us at
      [hi@rasa.com](mailto:hi@rasa.com) for anything else.
  utter_cantsignup:
  - text: I can't sign you up if you don't provide your email 😉
  utter_change_mind:
  - text: You can still change your mind below though.
  utter_chatbot_tutorial:
  - text: No problem, here's a [course on Datacamp](https://www.datacamp.com/courses/building-chatbots-in-python)
      that teaches you about building your own chatbot 🤓
  utter_confirm_salesrequest:
  - text: Thanks a bunch, we'll be in touch soon! ✉️
  utter_confirmationemail:
  - text: We sent a confirmation email to {email}.
  utter_contact_email:
  - text: You can’t speak to a human directly in this chat, but you can email us at hi@rasa.com.
  utter_continue_step2:
  - channel: socketio
    text: "Let's continue, please click\n [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step2%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started%23build-an-assistant-with-rasa-open-source%22%3B)."
  - text: Let's continue, please click the button below.
    buttons:
    - title: Next step
      payload: /get_started_step2
  utter_continue_step3:
  - channel: socketio
    text: "Let's continue, please click\n [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step3%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started%23improve-your-assistant-with-rasa-x%22%3B)."
  - text: Let's continue, please click the button below.
    buttons:
    - title: Next step
      payload: /get_started_step3
  utter_continue_step4:
  - channel: socketio
    text: "Let's continue, please click\n [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step4%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started%23join-the-community%22%3B)."
  - text: Let's continue, please click the button below.
    buttons:
    - title: Next step
      payload: /get_started_step4
  utter_crf:
  - text: For custom entities like that, I would suggest using the [CRFEntityExtractor](https://rasa.com/docs/rasa/nlu/components/#crfentityextractor)
      component. Read more about how to annotate entities in your data [here](https://rasa.com/docs/nlu/dataformat/).
  utter_default:
  - text: Sorry, I didn't get that 🤷. Could you please rephrase?
  - text: I didn't understand, could you rephrase that?
  - text: I'm sorry, but I didn't understand you. Could you please rephrase what you
      just said?
  - text: I'm afraid I didn't get what you just said. Could you rephrase that?
  - text: I didn't quite get that, could you rephrase your message?
  - text: Could you rephrase your message? I didn't get it, I'm sorry.
  utter_direct_to_forum_for_help:
  - text: If you're still stuck, please ask for help on our [forum](https://forum.rasa.com/).
  utter_direct_to_step2:
  - channel: socketio
    text: You can click [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step2%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started.html%23build-an-assistant-with-rasa-open-source%22%3B)
      if you want to go to the next step to try out Rasa Open Source.
  - text: You can click the button below if you want to go to the next step to try out Rasa Open Source.
    buttons:
    - title: Next step
      payload: /get_started_step2
  utter_direct_to_step3:
  - channel: socketio
    text: "If you have no questions, click\n [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step3%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started%23improve-your-assistant-with-rasa-x%22%3B)\n
      when you're ready to go to the next step. Or, at any point after you're done asking questions, say 'take me to the next step'."
  - text: If you have no questions, click the button below to go to the next step when you're
      ready. Or, at any point after you're done asking questions, say 'take me to the next step'.
    buttons:
    - title: Next step
      payload: /get_started_step3
  utter_direct_to_step4:
  - channel: socketio
    text: "The final step is to join the community, find more information about our\n
      community [here](javascript:window.localStorage.setItem(%22mrbot_next_message%22%2CJSON.stringify(%7Bmessage%3A%22%2Fget_started_step4%22%2Cexpiry%3ADate.now()%2B6e4%7D))%2Clocation.href%3D%22https%3A%2F%2Frasa.com%2Fdocs%2Fgetting-started%23join-the-community%22%3B)"
  - text: The final step is to join the community. Click the button to find more information
      about our community.
    buttons:
    - title: Next step
      payload: /get_started_step4
  utter_docu:
  - text: If you want some more awesome Rasa content, check out our [forum](https://forum.rasa.com/).
  utter_dont_know_nlu_part:
  - text: Hmm, seems like I haven't learned about that part of NLU yet!
  utter_duckling:
  - text: For that entity I'd suggest using the rule-based
      [DucklingHTTPExtractor](https://rasa.com/docs/rasa/nlu/components/#ducklinghttpextractor) component 🐥
  utter_duckling_info:
  - text: Duckling is a rule-based entity recognition library from Facebook. [Here](https://duckling.wit.ai/)
      is the link to its documentation.
  utter_encourage_building_bot:
  - text: Cool, then good luck with building your first contextual assistant! 🤖
  utter_explain_budget:
  - text: If you tell us your budget, we can prepare a package that fits you best.
  utter_explain_business_email:
  - text: We need your business email to contact you afterwards. Otherwise, we cannot
      help you set up Rasa.
  utter_explain_company:
  - text: Just for completeness.
  utter_explain_core:
  - text: "Core decides what happens next in this conversation. Its machine learning-based\
      \ dialogue management predicts the next best action based on the input from\
      \ NLU, the conversation history and your training data.\n(Example: Core has\
      \ a confidence of 87% that ask_primary_change is the next best action to confirm\
      \ with the user if they want to change their primary contact information.)"
  utter_explain_job_function:
  - text: Your job function helps us in understanding how we can talk to you best.
  utter_explain_nlu:
  - text: "NLU understands the user’s message based on your previous training data:\n\
      - Intent classification: Interpreting meaning based on predefined intents (Example:\
      \ “Please send the confirmation to amy@example.com” is a send_confirmation intent\
      \ with 93% confidence)\n- Entity extraction: Recognizing structured data (Example:\
      \ amy@example.com is an email)."
  utter_explain_person_name:
  - text: To be able to contact you later on, we would like to know your name.
  utter_explain_rasa_components:
  - text: Alright, I'll briefly explain the components that make up Rasa then.
  utter_explain_use_case:
  - text: In order to help you best, we need to know what you want to build with Rasa.
  utter_explain_x:
  - text: Rasa X is a toolset used to improve contextual assistants built using Rasa Open Source by
      helping you turn real user conversations into training data. Rasa X includes a user interface and a REST API.
  utter_faq_channels_more:
  - text: Please read our [documentation](https://rasa.com/docs/rasa/user-guide/messaging-and-voice-channels/)
      for more information.
  utter_faq_languages_more:
  - text: Please read our [documentation](https://rasa.com/docs/rasa/nlu/language-support/)
      for more information.
  utter_faq_ee_more:
  - text: Please read the Rasa X [documentation](https://rasa.com/docs/rasa-x/) for
      more information.
  utter_faq_slots_more:
  - text: Please read our [documentation](https://rasa.com/docs/rasa/core/slots/)
      for more information.
  utter_faq_voice_more:
  - text: Please read our [documentation](https://rasa.com/docs/rasa/user-guide/messaging-and-voice-channels/)
      for more information.
  utter_tutorialnlu:
  - text: Rasa Masterclass episodes 2-4 focus on NLU. Check out episode 2 [here](https://www.youtube.com/watch?v=k5UeywXA28k).
  utter_first_bot_with_rasa:
  - text: Let's go. Are you new to Rasa?
  utter_get_started_step1:
  - text: If you're new to Rasa, I can help you get started! Shall we?
  utter_get_started_step2:
  - text: I can show you how to start building your first AI assistant with Rasa.
      Are you ready?
  utter_get_started_step3:
  - text: Now, let's take a look at Rasa X, to improve your assistant. Sound good?
  utter_get_started_step4:
  - text: As a Rasa developer you will be part of a huge community. You can ask me
      about the upcoming Rasa events, ways to contribute or about our forum.
  utter_getstarted:
  - text: To determine how I can help you best, I'm going to ask you a few questions.
  utter_getstarted_new:
  - text: I see you’re new, let me ask you a quick question to determine how best
      I can help you.
  utter_great:
  - text: Great! 👍
  - text: That's great! 🙌
  - text: Awesome! 🎉
  - text: Cool, let's do it 🚀
  utter_greet:
  - text: Hey there, my name is Sara.
  - text: Hi, I'm Sara!
  - text: Hi! My name's Sara.
  utter_greet_name:
  - text: Hi, {name}!
  - text: Hello, {name}!
  - text: Hey, {name}!
  utter_greet_noname:
  - text: Hey!
  - text: Hi!
  - text: Hey there!
  utter_have_you_used_rasa_before:
  - text: Have you used Rasa before?
  utter_inform_privacypolicy:
  - text: By chatting to me you agree to our [privacy policy](https://rasa.com/privacy-policy/).
  utter_installation_command:
  - text: "You will first need to install Rasa Open Source using this installation\
      \ command. \n\n\"pip install rasa\""
  utter_installation_command_followup:
  - text: "Once you're done, you can install Rasa Open Source with pip using the following\
      \ command. \n\n\"pip install rasa\""
  utter_having_trouble_installing:
  - text: If you are having any trouble installing, you can look up detailed installation
      instructions [here](https://rasa.com/docs/rasa/user-guide/installation/#step-by-step-installation-guide).
  utter_installation_instructions:
  - text: If you haven't already read the detailed instruction guide, you can look
      it up [here](https://rasa.com/docs/rasa/user-guide/installation/#step-by-step-installation-guide).
  utter_ask_ready_to_build:
  - text: If you got it successfully installed, are you ready to start building a contextual assistant?
  utter_link_to_forum:
  - text: "Here's the link to the forum: [https://forum.rasa.com](https://forum.rasa.com)"
  utter_moreinformation:
  - text: Sure, we can book a sales call! Let's get to know each other first 😉
  utter_must_accept:
  - text: We can't speak until you accept.
  utter_nlu_entity_tutorial:
  - text: "[Part 2](https://blog.rasa.com/rasa-nlu-in-depth-part-2-entity-recognition/)
      of the Rasa NLU In Depth series from our software engineer Tobias is a great
      tutorial about entity recognition."
  utter_nlu_intent_tutorial:
  - text: Check out [part 1](https://blog.rasa.com/rasa-nlu-in-depth-part-1-intent-classification/)
      of the Rasa NLU In Depth series from our software engineer Tobias to learn more
      about intent classification.
  utter_nlu_tools:
  - text: We recommend using Rasa X to easily create and classify NLU data from within
      a UI.
  utter_no_email:
  - text: Hmm, I'm not sure that's a valid email, please make sure to include the
      full address 😅
  utter_no_guide_for_switch:
  - text: Sorry, but we don't have a migration guide for that tool yet. You can still
      follow the [tutorial](https://rasa.com/docs/rasa/user-guide/rasa-tutorial/)
      to build a Rasa assistant based on your existing one, though!
  utter_no_more_steps:
  - text: Looks like you've already gone through all the steps!
  utter_no_speak:
  - text: I'm afraid we can't chat then 😢
  utter_nohelp:
  - text: For now that's all I can do, so feel free to try it out. If you have any
      suggestions for what I should learn, let me know!
  utter_not_sure:
  - text: Hmm, not sure what you mean...
  utter_noworries:
  - text: No worries!
  - text: You're welcome!
  - text: I'm happy to help.
  utter_offer_recommendation:
  - text: Would you like me to try to recommend a pipeline?
  utter_possibilities:
  - text: "You can ask me about:\n- how to get started with Rasa\n- the components\
      \ of Rasa,\n- booking a sales call\n- subscribing to our newsletter\n"
  utter_possibilities_to_contribute:
  - text: Check out the [Contribute to Rasa](https://github.com/orgs/RasaHQ/projects/23)
      board for ideas on how to contribute code or content. You can also help by answering
      other members' questions on the [forum](http://forum.rasa.com).
  utter_rasa_components_details:
  - text: Rasa Open Source is a machine learning framework for automated text and
      voice-based conversations. Rasa X is a tool that helps you build, improve, and
      deploy AI Assistants that are powered by the Rasa Open Source framework.
  utter_react_negative:
  - text: 😕
  - text: 😞
  - text: 😥
  - text: 😢
  utter_react_positive:
  - text: 😄
  - text: 😊
  - text: 👏
  - text: 😍
  utter_reasons_to_contribute:
  - text: "Here a few reasons why you should contribute:\n- Explore the source code\
      \ in depth\n- Contribute to open source software\n- Earn [Rasa swag])(https://rasa.com/community/contribute/)!\n"
  utter_recommend_forum:
  - text: You should join the [Rasa Community forum](https://forum.rasa.com), where
      you can ask questions about Rasa Open Source and Rasa X, find resources, and
      stay up-to-date with what's happening at Rasa.
  utter_response_why_email:
  - text: I need your email address to sign you up to the newsletter.
  - text: I need it so that I can sign you up to the newsletter.
  utter_restart:
  - text: Loading... And I've been restarted! 🤯
  - text: Congrats you've restarted me! 😉
  utter_restart_with_button:
  - buttons:
    - payload: /restart
      title: Restart
    text: Click the button below if you want to start over.
  utter_run_rasa_init:
  - text: "You can now create a new Rasa assistant and also talk to it by simply running\
      \ \"rasa init\".\nThis comes with some sample training data and the required\
      \ configuration files to get you started. You can also talk to the assistant after\
      \ it is done training. "
  utter_sales_contact:
  - text: Thanks, now I need to know how we can reach you.
  utter_salesrequest_failed:
  - text: Unfortunately we weren't able to store your information. Sorry about that!
      You can still contact sales via our [website](https://rasa.com/contact-sales/)
      🙂
  utter_search_bar:
  - text: Try using the search bar above for now.
  utter_source_code:
  - text: Like Rasa Open Source, my code is freely available on GitHub! You can find
      it [here](https://github.com/RasaHQ/rasa-demo) 👻
  utter_pipeline_english:
  - text: If your training data is in English, a good starting point is this
      [recommended pipeline](https://rasa.com/docs/rasa/nlu/choosing-a-pipeline/#the-short-answer),
      which uses both pretrained and supervised embeddings.
  utter_spacy:
  - text: SpaCy has excellent pre-trained named-entity recognizers for this -- check
      out this [interactive demo](https://demos.explosion.ai/displacy-ent/). I would
      suggest using the [SpacyEntityExtractor](https://rasa.com/docs/rasa/nlu/components/#spacyentityextractor)
      component in your pipeline.
  utter_pipeline_nonenglish_spacy:
  - text: Looks like for your {language} assistant, a good starting point is the [recommended pipeline](https://rasa.com/docs/rasa/nlu/choosing-a-pipeline/#the-short-answer)
      for languages other than English. If you want to use pretrained embeddings, the [pipeline using SpacyNLP](https://rasa.com/docs/rasa/nlu/choosing-a-pipeline/#a-longer-answer)
      also works for your language.
  utter_suggestion:
  - text: I don't have a skill to help you with this stage yet, but please ask any
      questions you have so I can learn them in the future!
  utter_switch_dialogflow:
  - text: We have a guide for migrating from DialogFlow [here](https://www.rasa.com/docs/rasa/migrate-from/google-dialogflow-to-rasa/).
  utter_switch_luis:
  - text: We have a guide for migrating from LUIS [here](https://www.rasa.com/docs/rasa/migrate-from/microsoft-luis-to-rasa/).
  utter_pipeline_nonenglish_nospacy:
  - text: For {language}, a good starting point is the [recommended pipeline](https://rasa.com/docs/rasa/nlu/choosing-a-pipeline/#the-short-answer)
          for languages other than English.
  utter_thank_suggestion:
  - text: Thanks for your input!
  utter_thumbsup:
  - text: 👍
  - text: Okay.
  - text: Got it.
  utter_what_help:
  - text: Ok, what can I help you with?
  utter_what_language:
  - text: Which (human) language is your assistant in?
  utter_x_tutorial:
  - text: Rasa Masterclass covers how to [set up Rasa X](https://www.youtube.com/watch?v=IUYdwy8HPVc) and how
      to [improve your assistant](https://www.youtube.com/watch?v=LWzsS5Q-RoI) by sharing your assistant with
      others.
  utter_ask_rephrase:
  - text: Can you rephrase the question?
  utter_no_further_info:
  - text: Sorry, that's all the info I've got on that subject 😕
  utter_why_rasa:
  - text:  Rasa provides the infrastructure and tools needed to build
      high-performing, resilient assistants that work. What's more,
      Rasa is **open source** - no black-box magic!
  utter_ask_more:
  - text: Would you like to learn more?
  utter_ask_more_details:
  - text: Could you be more specific?
  - text: Can you tell me more?
  utter_ask_more_migrate:
  - text: Would you like to learn more about the advantages of switching to Rasa?
  utter_why_rasa_research:
  - text: Rasa invests in extensive research to create leading-edge
      conversational AI, enabling developers to create the best text- and
      voice-based assistants without a dedicated research team.
  utter_why_rasa_nlu:
  - text: Rasa's NLU supports multiple languages, single and multiple
      intents, and both pre-trained and custom entities.
  utter_why_rasa_dialogue:
  - text: Assistants built on Rasa can hold meaningful conversations
      with users - multi-step conversations that remember context and
      integrate business logic. No state machines here!
  utter_why_rasa_os:
  - text: Because Rasa is open source, you can customize your bot
      and explore its inner workings as much as you'd like. There's no vendor lock in, and no
      hidden algorithms.
  utter_why_rasa_compliant:
  - text: If data security and compliance is a priority for you, Rasa has
      your back! You can deploy Rasa either in the cloud or on premise and
      maintain complete control over your assistant & its data.

actions:
- action_default_ask_affirmation
- action_default_fallback
- action_docs_search
- action_explain_sales_form
- action_set_faq_slot
- action_explain_faq
- action_forum_search
- action_get_community_events
- action_greet_user
- action_next_step
- action_pause
- action_set_onboarding
- action_store_bot_language
- action_store_entity_extractor
- action_store_problem_description
- action_store_unknown_nlu_part
- action_store_unknown_product
- action_tag_docs_search
- action_tag_feedback
- action_submit_subscribe_newsletter_form
- action_submit_sales_form
- action_submit_suggestion_form
- validate_subscribe_newsletter_form
- validate_sales_form


forms:
  suggestion_form:
    suggestion:
      - type: from_text
  sales_form:
    job_function:
      - type: from_entity
        entity: job_function
      - type: from_text
        intent: enter_data
    use_case:
      - type: from_text
        intent: enter_data
    budget:
      - type: from_entity
        entity: amount-of-money
      - type: from_entity
        entity: number
      - type: from_text
        intent: enter_data
    person_name:
      - type: from_entity
        entity: name
      - type: from_text
        intent: enter_data
    company:
      - type: from_entity
        entity: company
      - type: from_text
        intent: enter_data
    business_email:
      - type: from_entity
        entity: email
      - type: from_text
        intent: enter_data
  subscribe_newsletter_form:
    email:
      - type: from_entity
        entity: email
      - type: from_text
        intent: enter_data