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-3.13.0.dev1.tar.gz (4.3 MB view details)

Uploaded Source

Built Distribution

rasa_pro-3.13.0.dev1-py3-none-any.whl (4.8 MB view details)

Uploaded Python 3

File details

Details for the file rasa_pro-3.13.0.dev1.tar.gz.

File metadata

  • Download URL: rasa_pro-3.13.0.dev1.tar.gz
  • Upload date:
  • Size: 4.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for rasa_pro-3.13.0.dev1.tar.gz
Algorithm Hash digest
SHA256 b5528a2b96b354b6054c487b5f234864fc62843d2496da043e750d1173b3fe4c
MD5 473742c3c5717c841d757f80a7f77b14
BLAKE2b-256 9db2af653cdb30a30550f2053d8cd5885ef35dc7f6212658c379fbfd60fe77d7

See more details on using hashes here.

File details

Details for the file rasa_pro-3.13.0.dev1-py3-none-any.whl.

File metadata

File hashes

Hashes for rasa_pro-3.13.0.dev1-py3-none-any.whl
Algorithm Hash digest
SHA256 39d8fb805063563a9201e3855f66d5eef4d8ddb50120a9b6557d94f44fd9e9c9
MD5 798a80a830facbf553ab63ff0c614d58
BLAKE2b-256 e9054e2c3d51ad93e33c65e018bdd6f71fedf7e8ced00430e985327df04a2cdf

See more details on using hashes here.

Supported by

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