Skip to main content

State-of-the-art open-core Conversational AI framework for Enterprises that natively leverages generative AI for effortless assistant development.

Project description

Rasa Pro

Quality Gate Status Documentation Status Python version support


Rasa Pro is a framework for building scalable, dynamic conversational AI assistants that integrate large language models (LLMs) to enable more contextually aware and agentic interactions. Whether you’re new to conversational AI or an experienced developer, Rasa Pro offers enhanced flexibility, control, and performance for mission-critical applications.

Building on the foundation of Rasa Open Source, Rasa Pro adds advanced features like CALM (Conversational AI with Language Models) and Dialogue Understanding (DU), which enable developers to shift from traditional intent-driven systems to LLM-based agents. This allows for more robust, responsive interactions that adhere strictly to business logic, while reducing risks like prompt injection and minimizing hallucinations.

Key Features:

  • Flows for Business Logic: Easily define business logic through Flows, a simplified way to describe how your AI assistant should handle conversations. Flows help streamline the development process, focusing on key tasks and reducing the complexity involved in managing conversations.
  • Automatic Conversation Repair: Ensure seamless interactions by automatically handling interruptions or unexpected inputs. Developers have full control to customize these repairs based on specific use cases.
  • Customizable and Open: Fully customizable code that allows developers to modify Rasa Pro to meet specific requirements, ensuring flexibility and adaptability to various conversational AI needs.
  • Robustness and Control: Maintain strict adherence to business logic, preventing unwanted behaviors like prompt injection and hallucinations, leading to more reliable responses and secure interactions.
  • Built-in Security: Safeguard sensitive data, control access, and ensure secure deployment, essential for production environments that demand high levels of security and compliance.

A free developer license is available so you can explore and get to know Rasa Pro. It allows you to take your assistant live in production a limited capacity. A paid license is required for larger-scale production use, but all code is visible and can be customized as needed.

To get started right now, you can

pip install rasa-pro

Check out our

for more. Also feel free to reach out to us on the Rasa forum.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rasa_pro-3.12.10.tar.gz (4.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rasa_pro-3.12.10-py3-none-any.whl (4.8 MB view details)

Uploaded Python 3

File details

Details for the file rasa_pro-3.12.10.tar.gz.

File metadata

  • Download URL: rasa_pro-3.12.10.tar.gz
  • Upload date:
  • Size: 4.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for rasa_pro-3.12.10.tar.gz
Algorithm Hash digest
SHA256 0c313d2a0e6dccc972a196c0aa47d6195199e570c9eadbdb970066316df33c6a
MD5 634a932dff206697538a1a04832b4e49
BLAKE2b-256 0892f068a3b87504ea511341a3aaa54d38157f07cd8cceb89a6fcdc4a1b655f0

See more details on using hashes here.

File details

Details for the file rasa_pro-3.12.10-py3-none-any.whl.

File metadata

  • Download URL: rasa_pro-3.12.10-py3-none-any.whl
  • Upload date:
  • Size: 4.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for rasa_pro-3.12.10-py3-none-any.whl
Algorithm Hash digest
SHA256 86842f860dfcc59dee5edee4c50c0894763dd30d979dcfead19970a1cf54fa94
MD5 9a7d6f681d5e93183f2dd5e01ce276d4
BLAKE2b-256 91bac7d4d72b48b12d56d9492fa36871b2338dfe06cac273e8720671be1142ee

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page