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This page provides a comprehensive overview of the Python versions and dependency groups supported by Rasa Pro.

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Supported Python Versions

Rasa Pro supports the following Python versions:
TensorFlow LimitationsTensorFlow and related dependencies are only supported for Python < 3.12. This means that components requiring TensorFlow are not available for Python >= 3.12:
  • DIETClassifier
  • TEDPolicy
  • UnexpecTEDIntentPolicy
  • ResponseSelector
  • ConveRTFeaturizer
  • LanguageModelFeaturizer
If you need these components, use Python 3.11.
Python 3.14.1You cannot install torchvision on Python 3.14.1. As a result, if you install the full dependency group, or the nlu and pii groups together, LogisticRegressionClassifier and SklearnIntentClassifier are unavailable. Use Python 3.14.0 or Python 3.14.2 and later instead.

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Dependency Groups

Rasa Pro uses optional dependency groups to allow you to install only the dependencies you need for your specific use case. This helps reduce installation time and keeps your environment lean.

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Available Dependency Groups

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NLU Dependency Group

The nlu dependency group includes dependencies required for NLU components. These include:
  • spacy (^3.5.4)
  • skops (~0.13.0)
  • mitie (^0.7.36)
  • jieba (>=0.42.1, <0.43)
  • sklearn-crfsuite (~0.5.0)
  • transformers (~4.38.2)
Plus the following dependencies, which are only available for Python < 3.12:
  • tensorflow (^2.19.0)
  • tensorflow-text (^2.19.0)
  • tensorflow-hub (^0.13.0)
  • tensorflow-metal (^1.2.0)
  • tf-keras (^2.15.0)
  • sentencepiece (~0.1.99)
  • tensorflow-io-gcs-filesystem (0.31 for sys_platform == ‘win32’, 0.34 for sys_platform == ‘linux’, 0.34 for sys_platform == ‘linux’ for “sys_platform == ‘darwin’ and platform_machine != ‘arm64’)

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Channels Dependency Group

The channels dependency group includes dependencies required for channel connectors:
  • fbmessenger (~6.0.0)
  • twilio (~9.7.2)
  • webexteamssdk (>=1.6.1,<1.7.0)
  • mattermostwrapper (~2.2)
  • rocketchat_API (>=1.32.0,<1.33.0)
  • aiogram (~3.22.0)
  • slack-sdk (~3.36.0)
  • cvg-python-sdk (^0.5.1)
Channel Dependencies Not IncludedThe following channels do not require additional dependencies and are included in the main installation:
  • browser_audio
  • studio_chat
  • socketIO
  • rest

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Installation Examples

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Basic Installation

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With NLU Components

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With Channel Connectors

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With Both NLU and Channels

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Using uv

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When to Use Which Dependency Group

Use the nlu group when:
  • You are using NLU components in your pipeline (see NLU Components for a full list of all NLU components)
  • You need intent classification or entity extraction capabilities
  • You’re using components like DIETClassifier, TEDPolicy, or ResponseSelector
  • You’re building assistants that require traditional NLU capabilities
  • You need to process user input for intent recognition and entity extraction
Use the channels group when:
  • You’re connecting to external messaging platforms (Slack, Telegram, Facebook Messenger, etc.)
  • You need voice channel connectors (Jambonz, Audiocodes, Twilio Voice, etc.)
  • You’re deploying to platforms like Microsoft Bot Framework, Cisco Webex Teams, or RocketChat
  • You’re building voice assistants that require real-time audio processing
  • You need to integrate with customer support platforms or communication systems

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Use both groups when:

  • You’re building a comprehensive assistant that uses both NLU components and external channel integrations
  • You need the full feature set of Rasa Pro with traditional NLU capabilities and multi-platform deployment