Is the project dead?

The project commit history shows that status of OS. You should try the developer edition and Rasa CALM.

Getting Error: Type Error: 'NoneType' object is not iterable

It looks like your local instance is running Rasa Pro but your docker-compose is using a Rasa OSS image. Change the image in your docker compose from rasa/rasa to rasa/rasa-pro and don’t forget to set the RASA_PRO_LICENSE env var.

Programmatic Interaction with Chatbot in RASA

Yes, you can use the REST channel. Also discussed here.

Frontend Widget Not Receiving Bot Responses

Add --debug and see if confirm that the Rasa sees the message from the user.

Can we use rasa command generation model and other model at the same time?

You can read about configuring models in the docs here

Encountered empty domain during validation

Add --domain domain.yml to the command line.

Problem installing rasa x on ubuntu

It was announced in June 2022 that Rasa X is no longer maintained or supported.

Rasa X (Community Edition) is no longer maintained or supported

Rasa-Pro setup AVX Issue on macOS M1

Sounds like the wrong tensorflow. My install steps on an M1:

uv venv
source .venv/bin/activate
uv pip install rasa-pro==3.10.10
uv pip list | grep tensorflow

Rasa entities extraction which appears to be similar for slot filling via forms

Are you using a form? Can you give some example utterances that cause issues?

Can Rasa CALM handle image generation if integrated with the right LLM

You could do this via a custom action.

Recursion in Rasa Flows, Compatible LLM Models, and Fine-Tuning Datasets - Rasa Pro CALM

You can use CRV’s with other slot types too. Here’s a blog post showing a categorical.

How to add predefined Chitchat and FAQs to CALM

There’s a built in chitchat feature by default. It’s called pattern_completed. If you don’t want to use the built-in RAG feature then you could create flows for each FAQ or you could use the NLU based response selector.

Issue with Ollama LLM Integration - Port Binding and Quota Exceeded - RASA CALM

It could be the response rephraser which uses openai got-3.5 by default. It’s documented here and I would disable it for now in your endpoints.yml. If that’s not the issue, post the full logfile someplace and I will review.

Integrating Rasa with a Custom Frontend Framework

You can read about using the Socket or REST channels with your widget here.

Sending additional data to RASA server in REST request

You can supply metadata on the rest call and then retrieve that in action_session_start. There’s an example of this here. To supply the metadata via REST, here’s an example payload:

{
  "sender": "test_user", // sender ID of the user sending the message
  "message": "Hi there!"
  "metadata": {
    ...
  }
}

RASA Integration with server

You should review the training materials which do a good job covering the basics. To access services from the bot, this is done with custom actions.

Safe to delete contents of .rasa/cache/…?

Yes, it’s safe to delete the cache. It will mean that all components will have to re-train even if no changes were made.