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Adapt Intent Parser

Adapt is a keyword and rule based intent parser. It reads an utterance and matches it to a registered intent, then extracts the entity values the intent needs. This repository provides an OVOS pipeline plugin and bundles a maintained fork of the original MycroftAI/adapt parser, from the now-defunct MycroftAI.

Three OPM pipeline entry points are exposed:

  • ovos-adapt-pipeline-plugin (AdaptPipeline), the flat pipeline. It wraps a single IntentDeterminationEngine and all skills share one trie.
  • ovos-adapt-domain-pipeline-plugin (DomainAdaptPipeline), a per-skill pipeline. It wraps DomainIntentDeterminationEngine. Each skill_id gets its own sub-engine ("domain"). At match time every domain is scored in parallel and the global argmax wins. Configure it under intents.ovos_adapt_domain_pipeline.
  • ovos-adapt-hierarchical-pipeline-plugin (HierarchicalAdaptPipeline), the same per-skill domain model, with two-stage routing. A stage-1 classifier picks one domain, then only that domain's sub-engine is scored. Configure it under intents.ovos_adapt_hierarchical_pipeline.

See Pipeline variants for when to use each.

Install

pip install ovos-adapt-parser

Usage

The adapt parser also works standalone, with no OVOS and no messagebus:

from ovos_adapt.intent import IntentBuilder
from ovos_adapt.engine import IntentDeterminationEngine

engine = IntentDeterminationEngine()

# register vocabulary: surface forms grouped by entity type
for word in ["weather", "forecast"]:
    engine.register_entity(word, "WeatherKeyword")
for city in ["Seattle", "San Francisco", "Tokyo"]:
    engine.register_entity(city, "Location")

# build an intent over those entity types
weather = IntentBuilder("WeatherIntent") \
    .require("WeatherKeyword") \
    .require("Location") \
    .build()
engine.register_intent_parser(weather)

# match
for intent in engine.determine_intent("what is the forecast in Tokyo"):
    if intent.get("confidence", 0) > 0:
        print(intent)

In a full OVOS install the plugin runs as a pipeline stage instead. Skills register vocabulary and intents over the messagebus, and the plugin matches incoming utterances automatically. More runnable examples ship in the examples/ folder.

Documentation

A full guide, from first concepts to internals, lives in docs/:

Reporting issues

Adapt is difficult to debug without full context. Include a serialized copy of the intent determination engine, using the debug dump utilities:

from ovos_adapt.engine import IntentDeterminationEngine

engine = IntentDeterminationEngine()
# load engine with vocabulary and parsers

import ovos_adapt.tools.debug as atd

atd.dump(engine, 'debug.ovos_adapt')

License

Apache License 2.0. See LICENSE.md.

Metadata

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