Rasa Integration

Rasa is an open-source conversational AI framework for building contextual assistants and chatbots. Rasa Pro includes enterprise features like LLM-powered dialogue management and response generation.

Rasa Pro supports custom LLM endpoints through its configuration.

Prerequisites

An LLM API account with an API key
Rasa installed or accessible

Setup

Get Your LLM API Key

Log in to your LLM API dashboard
Click Create Key to Start
Copy your new API key immediately — it will only be shown once
Store the key securely (e.g., in a password manager or .env file)

LLM API is an OpenAI-compatible gateway that gives you access to dozens of AI models through a single API key and endpoint.

Configure LLM API in Rasa

Open your Rasa project's endpoints.yml or config.yml.
Add the LLM configuration:

models:
\- type: openai
api_key: your-llm-api-key-here
api_base: https://api.llmapi.ai/v1
model: openai/gpt-4o

Or set environment variables:

export OPENAI_API_KEY="your-llm-api-key-here"
export OPENAI_API_BASE="https://api.llmapi.ai/v1"

Restart Rasa to apply.

Test the Integration

Verify that Rasa can successfully communicate with LLM API by sending a test request. All requests will now be routed through LLM API.

Rasa's hybrid approach combines custom NLU with LLM API's generative capabilities for robust assistants.

Benefits of Using LLM API with Rasa

Multi-Provider Access: Use models from OpenAI, Anthropic, Google, and more through a single API
Cost Control: Track and limit your AI spending with detailed usage analytics
Unified Billing: One account for all providers instead of managing multiple API keys
Caching: Reduce costs with response caching for repeated requests

View all available models on the models page.