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        "description": "# Rasa Addons\n\n![PyPI](https://img.shields.io/pypi/v/rasa-addons.svg)\n![Travis](https://img.shields.io/travis/mrbot-ai/rasa-addons.svg)\n\nA set of \ud83d\ude80\ud83d\ude80\ud83d\ude80 components to be used with Botfront and/or Rasa.\n\n[Botfront](https://github.com/botfront/botfront) is an open source chatbot platform built with Rasa.\n\n## rasa_addons.core.policies.BotfrontDisambiguationPolicy\n\nThis policy implements fallback and suggestion-based disambiguation.\n\nIt works with actions ``rasa_addons.core.actions.ActionBotfrontDisambiguation``, ``rasa_addons.core.actions.ActionBotfrontDisambiguationFollowup`` and ``rasa_addons.core.actions.ActionBotfrontFallback``, and NLU pipeline component ``rasa_addons.nlu.components.intent_ranking_canonical_example_injector.IntentRankingCanonicalExampleInjector``.\n\n### Example usage\n\n```yaml\npolicies:\n  ...\n  - name: rasa_addons.core.policies.BotfrontDisambiguationPolicy\n    fallback_trigger: 0.30 # default value\n    disambiguation_trigger: '$0 < 2 * $1' # default value\n    disambiguation_template: 'utter_disambiguation' # default value\n    n_suggestions: 2 # default value\n    excluded_intents:\n      - ^chitchat\\..* # default value\n      - ^basics\\..*\n  ...\n```\n\n### Note: Automatic generation of suggestion button titles\n\nBotfront introduces the notion of \"canonical\" training examples, which provide a canonical human-readable text for intent labels. For example, for an intent ``pay_bills`` with examples \"Pay bills\", \"I want to pay my bills\", \"How does one pay the bills on this website?\", the first example may be selected as canonical. Canonical status serves as a cue to the bot designer, since intent labels can become untractable over time. It may also come to serve more Botfront-internal roles in the future.\n\nThe Botfront Disambiguation Policy uses canonical status to provide localized text for the suggestion buttons shown to users during disambiguation. In order to enable this feature, the NLU pipeline for each language model needs to be extended in the following way:\n\n```yaml\npipeline:\n  ...\n  - name: rasa_addons.nlu.components.intent_ranking_canonical_example_injector.IntentRankingCanonicalExampleInjector\n  ...\n```\n\nThis NLU component enriches the ``intent_ranking`` key of user messages in the tracker with canonical text, so that the Disambiguation Policy may pick it up. If the NLU component is not used, buttons will have the intent name as their title.\n\n### Parameters\n\n##### fallback_trigger\n\nFloat (default ``0.30``): if confidence of top-ranking intent is below this threshold, fallback is triggered. Fallback is an action that utters the template ``utter_fallback`` and returns to the previous conversation state.\n\n##### disambiguation_trigger\n\nString (default ``'$0 < 2 * $1'``): if this expression holds, disambiguation is triggered. (If it has already been triggered on the previous turn, fallback is triggered instead.) Here this expression resolves to \"the score of the top-ranking intent is below twice the score of the second-ranking intent\". Disambiguation is an action that lets the user to choose from the top-ranking intents using a button prompt.\n\n##### disambiguation_template\n\nString (default ``'utter_disambiguation'``): a response name resolving to a template containing a ``text`` field with a message, e.g. \"I could not quite understand. Did you mean...\". Any button included under the ``buttons`` field of this template will also appear at the end of autogenerated suggestions, e.g. ``{\"title\": \"None of the above\", \"type\": \"postback\", \"payload\": \"/deny_suggestions\"}``.\n\n##### n_suggestions\n\nInt (default ``2``): the maximum number of suggestions to display (excluding the 'Other' options).\n\n##### excluded_intents\n\nList (default ``[\"^chitchat\\..*\", \"^basics\\..*\"]``): any intent (exactly) matching one of these regular expressions will not be shown as a suggestion.\n\n## rasa_addons.core.policies.BotfrontMappingPolicy\n\nThis policy implements regular expression-based direct mapping from intent to action.\n\n### Example usage\n\n```yaml\npolicies:\n  ...\n  - name: rasa_addons.core.policies.BotfrontMappingPolicy\n    triggers:\n      - trigger: '^map\\..+'\n        action: 'action_botfront_mapping'\n        extra_actions:\n          - 'action_myaction'\n  ...\n```\n\n### ActionBotfrontMapping\n\nThe default action ActionBotfrontMapping takes the intent that triggered the mapping policy, e.g. ``map.my_intent`` and tries to generate the template ``utter_map.my_intent``.\n\n## rasa_addons.core.channels.webchat.WebchatInput\n\n### Example usage\n\n```yaml\ncredentials:\n  ...\n  rasa_addons.core.channels.webchat.WebchatInput:\n    session_persistence: true\n    base_url: {{rasa_url}}\n    socket_path: '/socket.io/'\n  ...\n```\n\n## rasa_addons.core.channels.rest.BotfrontRestInput\n\nRest Input Channel with multilanguage and metadata support.\n\n### Example usage\n\n```yaml\ncredentials:\n  ...\n  rasa_addons.core.channels.rest.BotfrontRestInput:\n    # POST {{rasa_url}}/webhooks/rest/webhook/\n  ...\n```\n\n## rasa_addons.core.nlg.BotfrontTemplatedNaturalLanguageGenerator\n\nIdential to Rasa's `TemplatedNaturalLanguageGenerator`, except in handles templates with a language key.\n\n## rasa_addons.core.nlg.GraphQLNaturalLanguageGenerator\n\nThe new standard way to connect to the Botfront NLG endpoint. Note that support for the legacy REST endpoint is maintained for the moment. This feature is accessed by supplying a URL that doesn't contain the substring \"graphql\".\n\n### Example usage\n\n```yaml\nendpoints:\n  ...\n  nlg:\n    url: 'http://localhost:3000/graphql'\n    type: 'rasa_addons.core.nlg.GraphQLNaturalLanguageGenerator'\n  ...\n```",
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