openvinotoolkit

Author, edit, debug, and review the OpenVINO GitHub Actions CI infrastructure — regular (non-agentic) workflows under .github/workflows, reusable job_*.yml workflows, custom composite actions under .github/actions, CI helper scripts under .github/scripts,…

Enable a new model architecture/family in the OpenVINO GGUF frontend's native .gguf builder, or check whether a GGUF model is supported. Use when the user asks to enable, support or bring up a GGUF/llama.cpp model (llama, qwen, phi, gemma, MoE and similar…

Debug wrong or degraded output from a GGUF model running through the OpenVINO GGUF frontend or the ggml-openvino backend. Use when a GGUF model converts but produces garbage, repeated or drifting tokens, a cosine-similarity cliff between layers, output that…

Enable a ggml operation in the OpenVINO GGUF frontend by adding or fixing an op translator. Use when conversion fails with "Translation for operation type GGML_OP_* is not implemented", when the user asks to add/implement/fix a GGUF or ggml op translator or…

Upgrade the PyTorch version used by OpenVINO tests (torch / torchvision / torchaudio) and resolve fallout — missing operator translators, new functionalized `*_copy` aten ops, decomposition changes, FX-only tests failing in TorchScript mode, and accuracy…

Author, edit, compile, validate, and debug any OpenVINO gh-aw agentic workflow (e.g. ci-doctor, ci-doctor-mq, and any future ones) and their shared safe-output jobs under .github/workflows/shared/agentic-workflows. Use when a user wants to create a new…

Write unit tests for OpenVINO ov::Model graph transformations (passes). Use when the user asks to write, add, or refactor tests for a transformation pass (MatcherPass, ModelPass), or to modernize legacy transformation tests.

Troubleshooting all sorts of failures, crashes, exceptions and errors using debug capabilities. Analyze accuracy, performance, model compilation, or memory issues. Dump tensors and intermediate blobs. Serialize and visualize IRs, execution graphs. Enable…

Enables VLM models for GenAI VLM pipelines.

Generate OpenVINO GenAI release notes from commits since the latest release. Use when: preparing release notes, summarizing a release branch, or comparing the latest release tag with the current release branch.

Update OpenVINO GenAI site documentation for API or feature changes. Use when: new pipelines, models, or use-cases are introduced; site docs need to reflect new capabilities.

Validate a newly supported optimum-intel model with OpenVINO GenAI. Use when: checking new model support, verifying model export to OpenVINO IR, running GenAI inference test with llm_bench, benchmarking model accuracy with who-what-benchmark.

Analyze results of WWB execution with a specific model with all possible backends. Use when: checking wwb logs, troubleshooting wwb fails.

Analyze failed llm_bench execution results for a model. Use when: checking llm_bench log, troubleshooting llm_bench fails.

Open a pull request to openvinotoolkit/openvino.genai. Use when: submitting changes, creating PR, opening pull request, pushing work for review, finalizing a task with a PR.

Works with physicalai.config (Config recipes, export_config, jsonargparse, YAML). Use when editing src/physicalai/config, class_path YAML, runtime or policy construction, or docs under docs/how-to/config and docs/explanation/configuration.md. Runtime owns…

Adds or modifies robot hardware integrations under physicalai.robot. Use when implementing the Robot protocol, SO101 or Trossen WidowX drivers, robot connect helpers, verify.py checks, optional extras so101 or trossen, or tests in tests/unit/robot.

Adds or modifies a camera backend under physicalai.capture. Use when implementing a new Camera type, extending create_camera in src/physicalai/capture/factory.py, discovery helpers, optional pip extras for vendor SDKs, SharedCamera transport, or tests under…

Configures preprocessors, postprocessors, and runners around InferenceModel via manifest specs and ComponentRegistry. Use when editing physicalai.inference.preprocessors or postprocessors, manifest preprocessor/postprocessor lists, instantiate_component,…

Loads and validates policies exported from Physical AI Studio for Runtime deployment. Use when working on InferenceModel, InferenceModel.from_pretrained, manifest.json, adapter auto-detection (onnx, openvino), backend/device kwargs, Hugging Face Hub policy…

Runs exported policies on hardware with PolicyRuntime, execution modes, and physicalai run. Use when wiring PolicyRuntime, SyncExecution or RTC execution, runtime YAML configs, action queues, runtime callbacks, or docs/how-to/runtime run-policy-on-robot and…

Standardize GitHub Actions workflows with minimal functional changes.

Increment the version of NNCF in src/nncf/version.py.

Generate release notes for the new NNCF release.

Validate a HuggingFace tokenizer with OpenVINO Tokenizers and OpenVINO GenAI. Use when: checking if a tokenizer converts and works correctly, verifying tokenizer/detokenizer accuracy, testing normalization steps, checking GenAI Tokenizer compatibility.

Diagnose tokenizer conversion issues for OpenVINO Tokenizers. Use when: tokenizer-checker reports failures, need to pinpoint root cause location (Python conversion vs C++ operation), identify which pipeline stage diverges, determine whether to use…

Fix Python conversion issues in OpenVINO Tokenizers. Use when: tokenizer-diagnostics reports root_cause_location=python, unsupported types need new handlers in hf_parser.py, pipeline step mapping or merging is incorrect, tokenizer_pipeline.py step classes…