Rasa Pro
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
- Rasa-pro Quickstart,
- Conversational AI with Language Models (CALM) conceptual rundown,
- Rasa Pro / CALM tutorial, and
- Rasa pro changelog
for more. Also feel free to reach out to us on the Rasa forum.
2 maintainers
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file rasa_pro-3.12.23.tar.gz.
File metadata
- Download URL: rasa_pro-3.12.23.tar.gz
- Upload date:
- Size: 4.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ed3438bcbc493a9ebff75a30c70c6688baf9b7561e0243e331202b5a81d97c61
|
|
| MD5 |
104178d39a2749f2365b8acdb6d6b0b8
|
|
| BLAKE2b-256 |
069c15cb77a657beae23daa83d0b3699d66d298028589988222068b4e93ef387
|
Provenance
The following attestation bundles were made for rasa_pro-3.12.23.tar.gz:
Publisher:
release-artifacts-workflow.yml on RasaHQ/rasa-private
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
rasa_pro-3.12.23.tar.gz -
Subject digest:
ed3438bcbc493a9ebff75a30c70c6688baf9b7561e0243e331202b5a81d97c61 - Sigstore transparency entry: 270071327
- Sigstore integration time:
-
Permalink:
RasaHQ/rasa-private@f1c73e4aa5ba4b82aa7494df4675088b26ff6c72 -
Branch / Tag:
refs/tags/3.12.23 - Owner: https://github.com/RasaHQ
-
Access:
internal
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release-artifacts-workflow.yml@f1c73e4aa5ba4b82aa7494df4675088b26ff6c72 -
Trigger Event:
push
-
Statement type:
File details
Details for the file rasa_pro-3.12.23-py3-none-any.whl.
File metadata
- Download URL: rasa_pro-3.12.23-py3-none-any.whl
- Upload date:
- Size: 4.8 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9b81638a71cc43797f6796752ec7103ab722ed603c44f1aad9841e808803f56e
|
|
| MD5 |
2493ba02d4fb797cf6c8a34dd1009b89
|
|
| BLAKE2b-256 |
b93e6fb8c11aa814b7eaac8f9a3e6cefdba0d68911e968a0eaf38c424503840d
|
Provenance
The following attestation bundles were made for rasa_pro-3.12.23-py3-none-any.whl:
Publisher:
release-artifacts-workflow.yml on RasaHQ/rasa-private
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
rasa_pro-3.12.23-py3-none-any.whl -
Subject digest:
9b81638a71cc43797f6796752ec7103ab722ed603c44f1aad9841e808803f56e - Sigstore transparency entry: 270071338
- Sigstore integration time:
-
Permalink:
RasaHQ/rasa-private@f1c73e4aa5ba4b82aa7494df4675088b26ff6c72 -
Branch / Tag:
refs/tags/3.12.23 - Owner: https://github.com/RasaHQ
-
Access:
internal
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release-artifacts-workflow.yml@f1c73e4aa5ba4b82aa7494df4675088b26ff6c72 -
Trigger Event:
push
-
Statement type:
