| name | anonymizer |
| description | Use when the user wants to detect and replace, hash, redact, annotate, or rewrite PII (names, emails, phone numbers, locations, ...) in a CSV or Parquet dataset using the NeMo Anonymizer plugin. |
| argument-hint | ["describe the dataset and how PII should be handled"] |
Before You Start
Do not explore the workspace first. The workflow's Learn step gives you everything you need.
Source of truth. For anything you're unsure about, prefer the in-tree CLI docs over your memory: docs/anonymizer/index.md, docs/anonymizer/cli.md, and docs/anonymizer/tutorials/{index,preview,run}.md. The NVIDIA NeMo Anonymizer library docs own detection, replacement strategy parameters, and rewrite-mode semantics.
Goal
Anonymize a tabular text dataset using the NeMo Anonymizer plugin so it matches this description:
$ARGUMENTS
The plugin wraps the NVIDIA NeMo Anonymizer library and exposes:
- An
anonymizer.preview streaming function (small samples, fast iteration). Use nemo anonymizer preview run for local execution and nemo anonymizer preview submit for platform execution.
- An
anonymizer.run job for full-dataset execution. Use nemo anonymizer run run for local execution and nemo anonymizer run submit for Jobs-worker execution.
- A
nemo anonymizer validate command (synchronous config validation).
Workflow
Use Autopilot mode if the user implies they don't want to answer questions — e.g., they say something like "be opinionated", "you decide", "make reasonable assumptions", "just anonymize it", "surprise me", etc. Otherwise, use Interactive mode (default).
Read only the workflow file that matches the selected mode, then follow it:
- Interactive → read
workflows/interactive.md
- Autopilot → read
workflows/autopilot.md
Rules
- Prefer CLI surfaces. Generate YAML specs and run
nemo anonymizer ... commands unless the user explicitly asks for Python.
- Always iterate via
nemo anonymizer preview run or nemo anonymizer preview submit before running the full job. Previews are cheap and stream a small sample (default 10 records) with full detection traces.
- When you include
config, pick exactly one of replace (Annotate/Hash/Redact/Substitute) or rewrite on the AnonymizerConfig. Not both. Do not claim config is required for every flow; the Anonymizer library owns default config behavior and strategy semantics. See references/replace-strategies.md for plugin request formatting and the library docs for semantics.
- The input must be a single CSV or Parquet file.
text_column defaults to text; set it explicitly when the free-text column has another name. If the dataset has a stable record id, also set id_column. See references/inputs.md.
model_configs is optional for local execution (preview run / run run); when omitted, the Anonymizer library defaults are used.- The current plugin-service / Jobs paths (
preview submit, run submit) require model_configs so requests route through the NeMo Platform Inference Gateway. See references/model-configs.md.
selected_models overrides are only valid when model_configs is also supplied; aliases must resolve against that pool.- Local file paths only work for local execution. Plugin-service / Jobs execution requires an
http(s) URL or a fileset reference (<workspace>/<fileset>#<path> or fileset://...).
- If a spec file matching the user's description already exists in the working directory, ask whether to edit it or create a new one.
Usage Tips and Common Pitfalls
- Replacement strategies need a discriminated payload. Hand-written YAML specs must include
kind: redact (or annotate / hash / substitute) inside the replace block.
- Substitute and rewrite need LLM-backed model aliases. For plugin-service / Jobs execution they must be backed by providers declared in
model_configs. For library-level details, refer to the Anonymizer library docs or library skills.
- Spec files are YAML, not JSON.
nemo anonymizer preview run --spec-file <path> and nemo anonymizer run run --spec-file <path> both load YAML.
- Run results are artifacts. The job writes an artifacts directory containing
dataset.parquet, trace.parquet, metadata.json, and optional failed_records.json.
- Fileset refs use
# to point at a file. <workspace>/<fileset>#<path>, <fileset>#<path> (uses request workspace), or fileset://<workspace>/<fileset>#<path>. The # fragment must point at a .csv or .parquet file.
- Detection labels. Keep the Anonymizer library default label set unless the user asks to restrict detection. Refer to the Anonymizer library docs or library skills for supported label/config details.
- Preview record cap.
num_records defaults to 10 and is bounded by the service's preview_num_records.max setting. Use a small value while iterating.
Troubleshooting
nemo anonymizer CLI not found: The plugin isn't installed in this environment. From the repo root, run uv sync; the root workspace includes the Anonymizer plugin. Confirm with nemo anonymizer --help. Do not install anything without the user's permission.nemo anonymizer preview submit returns 404: The plugin service isn't mounted on the gateway. nemo setup does not auto-mount it. Re-run nemo services run (no --services flag) and verify the routes show up under /apis/anonymizer/ in the OpenAPI listing. See docs/anonymizer/tutorials/index.md Prerequisites.model_configs are required for remote execution: preview submit and run submit go through plugin-service / Jobs paths. Add model_configs referencing an Inference Gateway provider; use the inference/model-provider docs or skill for provider discovery.Input source ... is a local path: Plugin-service execution rejects local paths. Either upload the file to a fileset, use an http(s) URL, or switch to preview run / run run (local execution).Fileset input ... must resolve to a .csv or .parquet file: The #<path> fragment points at a directory or a non-CSV/Parquet file. Point it at a single file.- Config validation failed (HTTP 422): Run
nemo anonymizer validate --config <yaml> [--model-configs <yaml>] to surface the exact error synchronously. Common causes: mixing replace and rewrite, picking Substitute without a replacement_generator alias in model_configs, fileset path missing the #<file> fragment.
selected_models requires model_configs ...: The user passed selected_models overrides without an explicit model pool. Either drop the overrides or define model_configs with the aliases the overrides reference.- User asks to run remotely: Use
nemo anonymizer run submit. Ensure data.source is an HTTP(S) URL or fileset reference and model_configs is present.
- Empty preview dataset / "No preview dataset received": Check the log frames printed by the preview stream. Most commonly the detection model alias is wrong, or the dataset has zero rows after column resolution.
Output Template
Generate a YAML spec file in the current directory describing the request. Name it descriptively (e.g., redact_records_preview.yaml or redact_records_run.yaml).
Preview spec — fast iteration over a small sample:
config:
replace:
kind: redact
format_template: "[REDACTED_{label}]"
data:
source: "anonymizer-inputs#anonymizer-input.csv"
text_column: biography
id_column: id
num_records: 5
model_configs:
- alias: gliner-pii-detector
provider: nvidia-build
model: nvidia/gliner-pii
- alias: gpt-oss-120b
provider: nvidia-build
model: openai/gpt-oss-120b
- alias: nemotron-30b-thinking
provider: nvidia-build
model: nvidia/nemotron-3-nano-30b-a3b
Run spec — full-dataset job:
config:
replace:
kind: redact
format_template: "[REDACTED_{label}]"
data:
source: "anonymizer-inputs#anonymizer-input.csv"
text_column: biography
id_column: id
model_configs:
- alias: gliner-pii-detector
provider: nvidia-build
model: nvidia/gliner-pii
- alias: gpt-oss-120b
provider: nvidia-build
model: openai/gpt-oss-120b
- alias: nemotron-30b-thinking
provider: nvidia-build
model: nvidia/nemotron-3-nano-30b-a3b
Include only the bits the task requires — e.g., omit model_configs for purely local previews, omit selected_models unless overrides are needed, and use Substitute / rewrite only when the user wants LLM-generated replacements or holistic rewriting.
