chore: bump dd to 0.9.1 and anon to 0.3.3

.github/wheel-constraints/nemo-platform-services.txt

@@ -16,7 +16,7 @@ boto3==1.40.61
 botocore==1.40.61
 clickhouse-connect==0.15.1
 cloudpickle==3.1.2
-data-designer==0.8.0
+data-designer==0.9.1
 datasets==4.3.0
 distro==1.9.0
 docker==7.2.0
@@ -40,7 +40,7 @@ langchain-nvidia-ai-endpoints==1.4.3
 langchain-openai==1.4.0
 langchain==1.3.14
 lark==1.3.1
-nemo-anonymizer==0.3.1
+nemo-anonymizer==0.3.3
 nemo-fabric==0.1.1
 nemo-relay==0.6.0
 nemo-safe-synthesizer==0.1.7

docs/data-designer/index.mdx

@@ -10,7 +10,7 @@ Data Designer on NeMo Platform enables high-quality synthetic data generation th
 
 Data Designer is a framework for orchestrating complex synthetic data generation workflows. It coordinates LLM calls, manages dependencies between data fields, handles batching and parallelization, and validates generated data against specifications.
 
-The plugin is built on the open-source [NVIDIA NeMo Data Designer library](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/getting-started/welcome) ([GitHub](https://github.com/NVIDIA-NeMo/DataDesigner)). The library provides the configuration and generation engine; the plugin provides CLI, SDK, Data Designer API, Jobs, Files API, Secrets API, and Inference Gateway API integration.
+The plugin is built on the open-source [NVIDIA NeMo Data Designer library](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/getting-started/welcome) ([GitHub](https://github.com/NVIDIA-NeMo/DataDesigner)). The library provides the configuration and generation engine; the plugin provides CLI, SDK, Data Designer API, Jobs, Files API, Secrets API, and Inference Gateway API integration.
 
 ## How It Works
 
@@ -46,7 +46,7 @@ config_builder.add_column(dd.LLMTextColumnConfig(...))
 
 Configuration code describes the dataset schema, columns, dependencies, constraints, seed data, processors, profilers, and inference settings.
 
-**Learn more**: See the [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/getting-started/welcome) for comprehensive guides on column types, samplers, constraints, and advanced features.
+**Learn more**: See the [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/getting-started/welcome) for comprehensive guides on column types, samplers, constraints, and advanced features.
 
 ### 2. Choose Where to Execute
 
@@ -99,7 +99,7 @@ Learn through examples: basics, seeding, and more.
 Move configurations between local CLI and NeMo Services execution.
 
 </Card>
-<Card title="Library Documentation" href="https://docs.nvidia.com/nemo/datadesigner/v0.8.0/getting-started/welcome">
+<Card title="Library Documentation" href="https://docs.nvidia.com/nemo/datadesigner/v0.9.1/getting-started/welcome">
 
 Comprehensive guides on column types, constraints, and advanced features.
 

docs/data-designer/migration.mdx

@@ -83,4 +83,4 @@ Before switching execution modes, verify:
 - **Execution Modes:** See [Execution Modes](/documentation/design-synthetic-data/execution-modes) for the conceptual model.
 - **CLI:** See [Data Designer CLI](/documentation/design-synthetic-data/cli) for `run`, `submit`, and persona commands.
 - **Tutorials:** Follow the [tutorials](/documentation/design-synthetic-data/tutorials) for hands-on examples.
-- **Library Docs:** Refer to the [open-source library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/getting-started/welcome) for configuration details.
+- **Library Docs:** Refer to the [open-source library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/getting-started/welcome) for configuration details.

docs/data-designer/tutorials/basics.mdx

@@ -6,7 +6,7 @@ description: ""
 
 This tutorial demonstrates the fundamentals of Data Designer by generating a product review dataset.
 
-For more detail about column behavior, see the [open-source library's version](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/tutorials/the-basics) of this tutorial.
+For more detail about column behavior, see the [open-source library's version](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/tutorials/the-basics) of this tutorial.
 
 ## Prerequisites
 
@@ -47,7 +47,7 @@ config_builder = dd.DataDesignerConfigBuilder(model_configs)
 
 ### Add Columns
 
-Define the columns for your dataset. The [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/tutorials/the-basics) explains these column types in detail.
+Define the columns for your dataset. The [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/tutorials/the-basics) explains these column types in detail.
 
 
 ```python
@@ -305,5 +305,5 @@ When you use CLI `submit` or the SDK today:
 
 - **Seed data:** Learn how to use external datasets in the [seeding tutorial](/documentation/design-synthetic-data/tutorials/seeding-with-external-datasets)
 - **Execution modes:** Learn more about local and NeMo Services execution in [Execution Modes](/documentation/design-synthetic-data/execution-modes)
-- **Column types:** Explore all available column types in the [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/concepts/columns)
-- **Advanced features:** Learn about [processors](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/concepts/processors) and [validation](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/concepts/validators)
+- **Column types:** Explore all available column types in the [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/concepts/columns)
+- **Advanced features:** Learn about [processors](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/concepts/processors) and [validation](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/concepts/validators)

docs/data-designer/tutorials/index.mdx

@@ -18,7 +18,7 @@ Data Designer separates **configuration** (building dataset schemas) from **exec
 
 **Part 1: Build Configs (Library)**
 
-Use `data_designer.config` to define your dataset. See the [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/getting-started/welcome) for comprehensive guides on column types, constraints, and processors.
+Use `data_designer.config` to define your dataset. See the [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/getting-started/welcome) for comprehensive guides on column types, constraints, and processors.
 
 ```python
 import data_designer.config as dd

docs/data-designer/tutorials/seeding.mdx

@@ -6,7 +6,7 @@ description: ""
 
 This tutorial demonstrates how to use external datasets as seed data for synthetic data generation in Data Designer.
 
-For more detail about seed dataset behavior, see the [open-source library's version](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/tutorials/seeding-with-an-external-dataset) of this tutorial.
+For more detail about seed dataset behavior, see the [open-source library's version](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/tutorials/seeding-with-an-external-dataset) of this tutorial.
 
 ## Seed Sources by Execution Mode
 
@@ -344,5 +344,5 @@ When you configure a seed dataset:
 ## Next Steps
 
 - **Execution modes:** Learn more about local and NeMo Services execution in [Execution Modes](/documentation/design-synthetic-data/execution-modes)
-- **Column types:** Explore all available column types in the [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/concepts/columns)
-- **Processors:** Transform your data with processors in the [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.8.0/concepts/processors)
+- **Column types:** Explore all available column types in the [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/concepts/columns)
+- **Processors:** Transform your data with processors in the [library documentation](https://docs.nvidia.com/nemo/datadesigner/v0.9.1/concepts/processors)

packages/data_designer_nemo/pyproject.toml

@@ -6,7 +6,7 @@ requires-python = ">=3.11,<3.15"
 authors = [{ name = "NVIDIA", email = "nemo@nvidia.com" }]
 dependencies = [
     "nemo-platform",
-    "data-designer==0.8.0",
+    "data-designer==0.9.1",
     "anyio>=4.0",
     "duckdb",
     "pydantic>=2",

packages/nemo_platform/pyproject.toml

@@ -85,7 +85,7 @@ core-service = [
 
 # Generated from [tool.bundle-package]; do not edit by hand.
 data-designer-nemo = [
-  "data-designer==0.8.0",
+  "data-designer==0.9.1",
   "anyio>=4.0",
   "duckdb",
   "pydantic>=2",
@@ -244,8 +244,8 @@ nemo-agents-plugin = [
 # Generated from [tool.bundle-package]; do not edit by hand.
 nemo-anonymizer-plugin = [
   "nemo-platform-plugin",
-  "nemo-anonymizer>=0.3.1",
-  "data-designer==0.8.0",
+  "nemo-anonymizer==0.3.3",
+  "data-designer==0.9.1",
   "data-designer-nemo",
   "httpx>=0.27",
   "fastapi",
@@ -266,7 +266,7 @@ nemo-auditor-plugin = [
 # Generated from [tool.bundle-package]; do not edit by hand.
 nemo-data-designer-plugin = [
   "nemo-platform-plugin",
-  "data-designer==0.8.0",
+  "data-designer==0.9.1",
   "data-designer-nemo",
   "httpx>=0.27",
   "fastapi",
@@ -581,6 +581,7 @@ anonymizer = "nemo_anonymizer_plugin.skills:get_skills_path"
 guardrails = "nemo_guardrails_plugin.skills:get_skills_path"
 platform = "nemo_platform.skills:skills_dir"
 safe-synthesizer = "nemo_safe_synthesizer_plugin.skills:get_skills_path"
+
 [tool.uv.sources]
 nemo-platform-sdk = { workspace = true }
 nemo-platform-ext = { workspace = true }

plugins/nemo-anonymizer/pyproject.toml

@@ -7,8 +7,8 @@ authors = [{ name = "NVIDIA", email = "nemo@nvidia.com" }]
 dependencies = [
     "nemo-platform-plugin",
     "nemo-platform",
-    "nemo-anonymizer>=0.3.1",
-    "data-designer==0.8.0",
+    "nemo-anonymizer==0.3.3",
+    "data-designer==0.9.1",
     "data-designer-nemo",
     "httpx>=0.27",
     "fastapi",

plugins/nemo-data-designer/pyproject.toml

@@ -7,7 +7,7 @@ authors = [{ name = "NVIDIA", email = "nemo@nvidia.com" }]
 dependencies = [
     "nemo-platform-plugin",
     "nemo-platform",
-    "data-designer==0.8.0",
+    "data-designer==0.9.1",
     "data-designer-nemo",
     "httpx>=0.27",
     "fastapi",
@@ -47,7 +47,7 @@ test = [
 
 # Generated from [tool.bundle-package]; do not edit by hand.
 data-designer-nemo = [
-  "data-designer==0.8.0",
+  "data-designer==0.9.1",
   "anyio>=4.0",
   "duckdb",
   "pydantic>=2",