hongbo-miao/hongbomiao.com

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machine-learning/hm-rasa/endpoints.yml

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

# Server where the models are pulled from.
# https://rasa.com/docs/rasa/model-storage#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/custom-actions

action_endpoint:
  url: "http://localhost:5055/webhook"

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

# event_broker:
#   url: localhost
#   username: username
#   password: password
#   queue: queue