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deeppavlov

DeepPavlov package routing for config-driven NLP workflows, model-family selection, and serving.

The English summary is being prepared. Showing the original description.

See how to install

Files included (28)

  • SKILL.md3.6 KB
  • references/installation-and-cli.md2.2 KB
  • references/model-overview.md2.1 KB
  • references/repo-provenance.md1.3 KB
  • references/repo-routing-metadata.json532 B
  • references/troubleshooting.md3.3 KB
  • scripts/smoke_deeppavlov_pipeline.py1.5 KB
  • sub-skills/pipelines/references/api-reference.md6.6 KB
  • sub-skills/pipelines/references/config-workflows.md5.8 KB
  • sub-skills/pipelines/references/custom-components.md3.7 KB
  • sub-skills/pipelines/references/troubleshooting.md5.2 KB
  • sub-skills/pipelines/scripts/inspect_config_requirements.py5.2 KB
  • sub-skills/pipelines/SKILL.md4.1 KB
  • sub-skills/retrieval-qa/references/data-and-indexing.md9.1 KB
  • sub-skills/retrieval-qa/references/model-catalog.md7.0 KB
  • sub-skills/retrieval-qa/references/troubleshooting.md6.8 KB
  • sub-skills/retrieval-qa/scripts/tiny_retrieval_config.py6.0 KB
  • sub-skills/retrieval-qa/SKILL.md2.4 KB
  • sub-skills/serving/references/api-reference.md3.2 KB
  • sub-skills/serving/references/service-configuration.md2.0 KB
  • sub-skills/serving/references/troubleshooting.md2.5 KB
  • sub-skills/serving/scripts/socket_payload_smoke.py2.6 KB
  • sub-skills/serving/SKILL.md1.2 KB
  • sub-skills/text-models/references/data-formats.md5.1 KB
  • sub-skills/text-models/references/model-catalog.md6.4 KB
  • sub-skills/text-models/references/troubleshooting.md4.0 KB
  • sub-skills/text-models/scripts/list_config_categories.py2.9 KB
  • sub-skills/text-models/SKILL.md2.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

DeepPavlov

Use this repo skill when the task involves the DeepPavlov Python package, its deeppavlov.configs tree, or the python -m deeppavlov command family.

What this skill covers

  • Installing and smoke-checking the package.
  • Choosing the right CLI mode for a config-driven workflow.
  • Routing to the right model family for text classification, tagging, retrieval/QA, or serving.
  • Troubleshooting package-wide install/import and config issues.

Start here

  1. Read references/installation-and-cli.md for install, CLI modes, and the offline smoke helper.
  2. Read references/model-overview.md to route to the right sub-skill for the user’s task family.
  3. Read references/troubleshooting.md when the failure is package-wide rather than family-specific.
  4. Read references/repo-provenance.md if you need the source baseline used to create this skill.

Route to a sub-skill

sub-skills/pipelines/SKILL.md

Use this for config parsing, build_model, train_model, evaluate_model, train_evaluate_model_from_config, parse_config, deep_download, nested configs, registries, custom components, cross-validation, and parameter search.

sub-skills/text-models/SKILL.md

Use this for classifiers, NER, entity extraction, spelling correction, sentence segmentation, morpho-syntax parsing, relation extraction, multitask models, and embedding extraction.

sub-skills/retrieval-qa/SKILL.md

Use this for document retrieval, ranking, FAQ, SQuAD, ODQA, and KBQA.

sub-skills/serving/SKILL.md

Use this for riseapi, risesocket, /probe, /api, socket framing, service settings, TLS flags, metrics, and runtime request validation.

Minimal package smoke

After installing DeepPavlov in the target environment, run the offline smoke script:

python scripts/smoke_deeppavlov_pipeline.py

Expected result: the tiny lowercasing/tokenization pipeline prints a tokenized output for the default text.

Common decisions

  • If the user only gives a config stem, let DeepPavlov resolve it unless a deprecation alias warning appears.
  • If the task is about the shape of a config or how to wire a pipeline, go to pipelines.
  • If the task is about which built-in model family to use, go to text-models or retrieval-qa.
  • If the task is about exposing a chosen model over HTTP or sockets, go to serving.
  • If the task is about a broken install, import, or dependency conflict and does not depend on a specific family, use the root troubleshooting reference.

What not to do here

  • Do not re-open the original repository checkout for runtime guidance when the bundled references already answer the question.
  • Do not bury model-family specifics in this root file; keep them in the owned sub-skill.
  • Do not send serving questions to a model-family sub-skill just because the model family appears in the request.

Useful commands

  • python -m deeppavlov --help
  • python scripts/smoke_deeppavlov_pipeline.py
  • python -m pip check

Provenance and selection metadata

  • See references/repo-provenance.md for the source baseline.
  • See references/repo-routing-metadata.json for router placement and usage signals.

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