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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-pro/production/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-pro/concepts/custom-actions
action_endpoint:
actions_module: "actions"
# Tracker store which is used to store the conversations.
# By default the conversations are stored in memory.
# https://rasa.com/docs/rasa-pro/production/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-pro/production/event-brokers
#event_broker:
# url: localhost
# username: username
# password: password
# queue: queue
# The lines below activate contextual rephrasing, using the default OpenAI language model.
# Ensure the OPENAI_API_KEY is set to prevent any missing API key errors.
# For more details, refer to the documentation:
# https://rasa.com/docs/rasa-pro/concepts/contextual-response-rephraser
# To enable the rephraser, remove the comment symbols in the lines below.
#nlg:
# type: rephrase
model_groups:
- id: openai-gpt-4o
models:
- provider: openai
model: gpt-4o-2024-11-20
request_timeout: 7
max_tokens: 256
- id: openai-embeddings
models:
- provider: openai
model: text-embedding-3-large