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-3.13.1a19.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-3.13.1a19-py3-none-any.whl (5.5 MB view details)

Uploaded Python 3

File details

Details for the file rasa_pro-3.13.1a19.tar.gz.

File metadata

  • Download URL: rasa_pro-3.13.1a19.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-3.13.1a19.tar.gz
Algorithm Hash digest
SHA256 a58e9cbb17654f6f311a6593282d953b7370852e7d7cea010d2d04a4dbfa5158
MD5 487f8d2570cbf549267c5610b137af3f
BLAKE2b-256 911ea68171a13d1ac58dc104d87a43b178d17903ece004eea64096ecefe81355

See more details on using hashes here.

Provenance

The following attestation bundles were made for rasa_pro-3.13.1a19.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-3.13.1a19-py3-none-any.whl.

File metadata

  • Download URL: rasa_pro-3.13.1a19-py3-none-any.whl
  • Upload date:
  • Size: 5.5 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-3.13.1a19-py3-none-any.whl
Algorithm Hash digest
SHA256 3e67a0710be08d5651f329cd99a50b82e3f0a6b18b554c48b2754b799a4e2f46
MD5 217864431ebe79f577d18355c5999d76
BLAKE2b-256 29ff7ee3f64d3f0fb2dd75daa1d75b61b7c3d59c76f8be0427ca36e76c220e14

See more details on using hashes here.

Provenance

The following attestation bundles were made for rasa_pro-3.13.1a19-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.

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