endpoints-docker-compose.yml

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

# Server which runs your custom actions.
# https://rasa.com/docs/rasa-pro/concepts/custom-actions
action_endpoint:
  actions_module: "actions"

# 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
   summarize_history: false
   llm:
     model_group: openai-gpt-4o

# Model groups are used to define the LLM models that are used in this assistant.
# For more details, refer to the documentation:
# https://rasa.com/docs/reference/config/components/llm-configuration
model_groups:
  - id: openai-gpt-4o
    models:
      - provider: openai
        model: gpt-4o-2024-11-20
        request_timeout: 7
        max_tokens: 256

# MCP servers are used to define the MCP servers that are used in this assistant.
mcp_servers:
  - name: tavily_search
    url: http://tavily_search_mcp_server:8001/mcp
    type: http
  - name: appointment_booking
    url: http://appointment_booking_mcp_server:8002/mcp
    type: http

tracker_store:
    type: SQL
    dialect: "postgresql" 
    url: "tracker_store:5432"  
    db: "rasa"  
    username: "rasa" # Ensure this matches POSTGRES_USER in the docker compose file.
    password: "rasa" # Ensure this matches POSTGRES_PASSWORD in the docker compose file.