feat: Add Colang v2 example for sensitive_data_detection

Author: lapinek

examples/configs/sensitive_data_detection_v2/README.md

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+# Presidio-based Sensitive Data Detection Example
+
+This example demonstrates how to detect and redact sensitive data using [Presidio](https://github.com/Microsoft/presidio).
+
+## Prerequisites
+
+- `Presidio`
+
+  You can install it with:
+
+  ```bash
+  poetry run pip install presidio-analyzer presidio-anonymizer
+  ```
+
+  > **Note**
+  >
+  > Presidio may come with an unsupported version of `numpy`. To reinstall the supported version, run:
+  > ```bash
+  > poetry install
+  > ```
+
+- `en_core_web_lg` spaCy model
+
+  You can download it with:
+
+  ```bash
+  poetry run python -m spacy download en_core_web_lg
+  ```
+
+## Running example
+
+To test this configuration, run the CLI chat from the `examples/configs/sensitive_data_detection_v2` directory:
+
+```bash
+poetry run nemoguardrails chat --config=.
+```
+
+## Documentation
+
+- [Presidio-based Sensitive Data Detection configuration](../../../docs/user-guides/guardrails-library.md#presidio-based-sensitive-data-detection)
+- [Presidio Integration guide](../../../docs/user-guides/community/presidio.md)

examples/configs/sensitive_data_detection_v2/config.yml

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+colang_version: "2.x"
+
+models:
+  - type: main
+    engine: openai
+    model: gpt-4o-mini
+
+rails:
+  config:
+    sensitive_data_detection:
+      input:
+        score_threshold: 0.4
+        entities:
+          - PERSON
+          - EMAIL_ADDRESS
+          - PHONE_NUMBER
+          - CREDIT_CARD
+          - US_SSN
+          - LOCATION
+
+      output:
+        score_threshold: 0.4
+        entities:
+          - PERSON
+          - EMAIL_ADDRESS
+          - PHONE_NUMBER
+          - CREDIT_CARD
+          - US_SSN
+          - LOCATION

examples/configs/sensitive_data_detection_v2/flows.co

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+import guardrails
+import nemoguardrails.library.sensitive_data_detection
+
+flow input rails $input_text
+  """Check user utterances before they get further processed."""
+  await mask sensitive data on input
+
+flow output rails $output_text
+  """Check response before sending it to user."""
+  await mask sensitive data on output

examples/configs/sensitive_data_detection_v2/main.co

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+import core
+import llm
+
+flow main
+  activate llm continuation