Agent
These docs are for version 1.x of Rasa Open Source.
User Guide
- Installation
- Tutorial: Rasa Basics
- Tutorial: Building Assistants
- Command Line Interface
- Architecture
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- Testing Your Assistant
- Setting up CI/CD
- Validate Data
- Configuring the HTTP API
- Deploying Your Rasa Assistant
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Conversation Design
API Reference
- Action Server
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- Agent
- Custom NLU Components
- Rasa SDK
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- Tracker
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- Training Data Importers
- Featurization of Conversations
- TensorFlow Configuration
- Migration Guide
- Rasa Open Source Change Log
Migrate from (beta)
Reference
Versioning
Viewing: 1.10.3
Agent ΒΆ
@classmethod load()
The Agent class provides a convenient interface for the most important Rasa functionality.
This includes training, handling messages, loading a dialogue model, getting the next action, and handling a channel.
Example usage:
>>> from rasa.core.agent import Agent
>>> await agent.handle_text("hello")
[u'how can I help you?']
π I can help you get started with Rasa and answer your technical questions.