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OVOS Model2Vec Intent Pipeline

An intent-matching pipeline plugin for OpenVoiceOS, built on Model2Vec static embeddings. It classifies an utterance against the intents that loaded skills registered at runtime, either through a pre-trained classifier head or through the skills' own example utterances with no training step. Use it as a semantic fallback behind exact matchers such as Adapt and padacioso.

Install

uv pip install --prerelease=allow ovos-m2v-pipeline

Configure

{
  "intents": {
    "ovos-m2v-pipeline": {
      "model": "OpenVoiceOS/ovos-m2v-intents-multilingual"
    },
    "pipeline": [
      "ovos-padacioso-pipeline-plugin-high",
      "ovos-m2v-pipeline-high",
      "ovos-m2v-prototype-pipeline-medium"
    ]
  }
}

intents.pipeline replaces the whole pipeline list, not only its m2v entries; see the pipeline order for where the other plugins a deployment installs belong in it.

ovos-padacioso-pipeline-plugin-high runs first: a frozen classifier only answers with a label it was trained on, so an exact template line of a skill it never saw is claimed earlier, and correctly, by an exact matcher. See the pipeline order for the full reasoning.

Tiers

Entry-point suffix Method Answers from
-high match_high() the trained head, or the skill's own examples for the standalone prototype plugin
-medium match_medium() same, at a lower threshold
-low match_low() the skill's own examples by default (low_tier: "prototype")

Documentation

Page Covers
Configuration Every config key, its default and its type
OVOS Pipeline Plugin Entry points, tiers, modes, caching
Models Published model ids and picking one
Training Building the corpus and fitting a model
Label scheme Label format, families, dedup and renames
Pre-release quirks Behaviour changes by pre-release version, reset at each stable release

Training your own model starts at Training.

License

Apache 2.0. See LICENSE.

Credits

First built by TigreGótico for OpenVoiceOS under the ILENIA project, and extended through the NGI0 Commons Fund.

NGI0 Commons Fund

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