endpoints.yml

# This file contains the different endpoints your bot can use.

# Server where the models are pulled from.
# https://rasa.com/docs/rasa/user-guide/configuring-http-api/#fetching-models-from-a-server/

#models:
#  url: http://my-server.com/models/default_core@latest
#  wait_time_between_pulls:  10   # [optional](default: 100)


# Server which runs your custom actions.
# https://rasa.com/docs/rasa/core/actions/#custom-actions/

action_endpoint:
  url: "http://localhost:5005/webhook"

# Tracker store which is used to store the conversations.
# By default the conversations are stored in memory.
# https://rasa.com/docs/rasa/api/tracker-stores/

#tracker_store:
#    type: redis
#    url: <host of the redis instance, e.g. localhost>
#    port: <port of your redis instance, usually 6379>
#    db: <number of your database within redis, e.g. 0>
#    password: <password used for authentication>
#    use_ssl: <whether or not the communication is encrypted, default false>

#tracker_store:
#    type: mongod
#    url: <url to your mongo instance, e.g. mongodb://localhost:27017>
#    db: <name of the db within your mongo instance, e.g. rasa>
#    username: <username used for authentication>
#    password: <password used for authentication>

# Event broker which all conversation events should be streamed to.
# https://rasa.com/docs/rasa/api/event-brokers/

#event_broker:
#  url: localhost
#  username: username
#  password: password
#  queue: queue
#nlg:
#  url: http://localhost:5055/nlg    # url of the nlg endpoint
  # you can also specify additional parameters, if you need them:
  # headers:
  #   my-custom-header: value
  # token: "my_authentication_token"    # will be passed as a get parameter
  # basic_auth:
  #   username: user
  #   password: pass
# example of redis external tracker store config
#
# example of mongoDB external tracker store config
#tracker_store:
  #type: mongod
  #url: mongodb://localhost:27017
  #db: rasa
  #user: username
  #password: password