Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

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.

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-3.13.1a12.tar.gz (4.9 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-3.13.1a12-py3-none-any.whl (5.4 MB view details)

Uploaded Python 3

File details

Details for the file rasa_pro-3.13.1a12.tar.gz.

File metadata

  • Download URL: rasa_pro-3.13.1a12.tar.gz
  • Upload date:
  • Size: 4.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for rasa_pro-3.13.1a12.tar.gz
Algorithm Hash digest
SHA256 1a2fa06b8b3d575eaa884f7d6f96318c459a91bebc2b5a7d579c0c3d7d4e0b41
MD5 e84cd4564603d4ecf8f59781d1acc6f0
BLAKE2b-256 56196742e459fb2d37d927ef4aaad56d2100e2570af7ac29008a3f5af4d86072

See more details on using hashes here.

Provenance

The following attestation bundles were made for rasa_pro-3.13.1a12.tar.gz:

Publisher: release-artifacts-workflow.yml on RasaHQ/rasa-private

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file rasa_pro-3.13.1a12-py3-none-any.whl.

File metadata

  • Download URL: rasa_pro-3.13.1a12-py3-none-any.whl
  • Upload date:
  • Size: 5.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for rasa_pro-3.13.1a12-py3-none-any.whl
Algorithm Hash digest
SHA256 2aca2decd47c2e881759fb7495780793d4a25b33572f562c1a6895b0d30ec12c
MD5 7f52e45ba92f46bd769490b19944e743
BLAKE2b-256 3d0824560eff1261f63ce8c29dae23f76118722a51998f89c34bcdcb0eb8d4cd

See more details on using hashes here.

Provenance

The following attestation bundles were made for rasa_pro-3.13.1a12-py3-none-any.whl:

Publisher: release-artifacts-workflow.yml on RasaHQ/rasa-private

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

Supported by

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