Tracker

These docs are for version 1.x of Rasa Open Source.

User Guide

• Installation
• Tutorial: Rasa Basics
• Tutorial: Building Assistants
• Command Line Interface
• Architecture
• Messaging and Voice Channels
• Evaluating Models
• Validate Data
• Configuring the HTTP API
• Deploying your Rasa Assistant
• Cloud Storage

NLU

• About
• Using NLU Only
• Training Data Format
• Choosing a Pipeline
• Language Support
• Entity Extraction
• Components

Core

• About
• Stories
• Domains
• Responses
• Actions
• Policies
• Slots
• Forms
• Retrieval Actions
• Interactive Learning
• Fallback Actions
• Knowledge Base Actions

Conversation Design

• Dialogue Elements
• Small Talk
• Completing Tasks
• Guiding Users

API Reference

• Action Server
• HTTP API
• Jupyter Notebooks
• Agent
• Custom NLU Components
• Rasa SDK
• Events
• Tracker
• Tracker Stores
• Event Brokers
• Lock Stores
• Training Data Importers
• Featurization of Conversations
• Migration Guide
• Rasa OSS Change Log

Migrate from (beta)

• Dialogflow
• Wit.ai
• LUIS
• IBM Watson

Reference

• Glossary

Tracker

Trackers maintain the state of a dialogue between the assistant and the user in the form of conversation sessions. To learn more about how to configure the session behaviour, check out the docs on Session configuration.

Class rasa.core.trackers.DialogueStateTracker

Maintains the state of a conversation.

Methods:

• applied_events() : Returns all actions that should be applied - w/o reverted events.
• as_dialogue() : Return a Dialogue object containing all of the turns.
• change_form_to(form_name) : Activate or deactivate a form.
• clear_followup_action() : Clears follow up action when it was executed.
• copy() : Creates a duplicate of this tracker.
• current_slot_values() : Return the currently set values of the slots.
• current_state(event_verbosity=<EventVerbosity.NONE: 1>) : Return the current tracker state as an object.
• events_after_latest_restart() : Return a list of events after the most recent restart.
• export_stories(e2e=False, include_source=False) : Dump the tracker as a story in the Rasa Core story format.
• export_stories_to_file(export_path='debug.md') : Dump the tracker as a story to a file.
• from_dict(sender_id, events_as_dict, slots=None, max_event_history=None) : Create a tracker from dump.

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