OVOS Model2Vec Intent Pipeline

An intent matching pipeline for OpenVoiceOS (OVOS). It uses the Model2Vec model for intent classification.

This plugin uses a pretrained Model2Vec model to classify natural language utterances into intent labels registered with the system (Adapt, Padatious, and plugin-specific labels). It only considers intents from loaded skills and ignores labels from unregistered intents. Use this pipeline when deterministic engines fail to give a high-confidence match.

Features

Model2Vec drives intent classification.
The plugin integrates directly with OVOS pipelines.
The Model2Vec models train on GitLocalize exports.
English models come in several sizes, distilled from Potion.
The multilingual model is distilled from LaBSE.
The plugin syncs Adapt and Padatious intents dynamically at runtime.
The plugin considers only intents from loaded skills and ignores unregistered labels.

English models range from 8 MB to 150 MB. The multilingual model (the default) is over 500 MB.

Installation

Install the plugin with pip:

pip install ovos-m2v-pipeline

Configuration

In your mycroft.conf:

{
  "intents": {
    "ovos-m2v-pipeline": {
      "model": "Jarbas/ovos-model2vec-intents-LaBSE",
      "conf_high": 0.7,
      "conf_medium": 0.5,
      "conf_low": 0.15,
      "ignore_intents": []
    }
  }
}

model: Path to your pretrained Model2Vec model or huggingface repo.
conf_xxx: Minimum confidence threshold for intent matching.
ignore_intents: List of intents to ignore during matching.
prototype_strategy: Scoring strategy for prototype mode (default "max_over_all", back-compatible). See docs/strategies.md.
prototype_top_k: Top-k cosines averaged by the top_k_mean strategy (default 3).
prototype_tau: Softmax temperature for the softmax_weighted strategy (default 0.1).

The Model2Vec model is pretrained on GitLocalize exports. It cannot learn new skills dynamically.

Which entrypoint do I want?

This plugin ships two opm.pipeline entrypoints. Both use the same Model2VecIntentPipeline class, running in different modes:

ovos-m2v-pipeline (Model2VecIntentPipeline, mode: "classifier", the default) loads a pretrained, frozen classification head with a fixed label set baked in at training time. It is fast and needs no runtime fitting, but it can only ever return the labels it was trained on. It still tracks OVOS-INTENT-4 ovos.intent.register.template registrations from skills so it can gate/allowlist a trained label, but registering a new intent that was not part of training does not teach it to that skill. That intent will never be matched.
ovos-m2v-prototype-pipeline (Model2VecPrototypePipeline, mode: "prototype") loads a bare embedding model with no classification head and builds its label set entirely at runtime, from the example utterances supplied by Adapt/Padatious registrations and OVOS-INTENT-4 template registrations. Use this entrypoint whenever skills need to register new intents (including custom/dynamically-created skills) that must actually be matched.

You can enable both entrypoints together. Configure each independently under its own intents.<entrypoint-name> key (see the Model2VecPrototypePipeline docstring for an example), so a deployment can keep the fast frozen classifier for its core trained intents while the prototype matcher picks up everything else.

Usage

The Model2VecIntentPipeline class integrates with the OVOS intent system. It:

Receives an utterance (text).
Predicts intent labels using the pretrained Model2Vec model.
Filters out intents that are not part of the loaded skills.
Returns a match for the highest-confidence intent from the list of valid intents.

Tips

Tune min_conf to control the confidence threshold for intent matching.
Use the ignore_intents list to filter out specific problematic intents from predictions.
The plugin syncs Adapt and Padatious intents automatically at runtime, over the OVOS message bus.

Pre-trained models are available in the ovos-model2vec-intents Hugging Face collection.

Related projects

OpenVoiceOS: the OVOS org, and the intent-pipeline system this plugin extends.
ovos-plugin-manager: the base pipeline class and plugin infrastructure.
ovos-workshop: the skill framework this plugin integrates with.

License

This project is licensed under the Apache 2.0 License.

Credits

The model2vec intent pipeline was first prototyped by TigreGótico under the ILENIA project for OpenVoiceOS and later extended with an embeddings-only mode and new models, through the NGI0 Commons Fund.

This project was funded by the Ministerio para la Transformación Digital y de la Función Pública and Plan de Recuperación, Transformación y Resiliencia - Funded by EU, NextGenerationEU within the framework of the project ILENIA with reference 2022/TL22/00215337

This project was funded through the NGI0 Commons Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 101135429.

Release files for ovos-m2v-pipeline 0.6.0a1

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Source distribution (sdist)

Source distribution for ovos-m2v-pipeline 0.6.0a1
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Table of built distributions (wheels) for ovos-m2v-pipeline 0.6.0a1
File	Interpreter	ABI	Platform	Reset
ovos_m2v_pipeline-0.6.0a1-py3-none-any.whl 22.1 kB Aug 31, 2026	Python 3	none	any	Details

Total release size: 71.0 kB

Release files / ovos_m2v_pipeline-0.6.0a1.tar.gz

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