Docs/community cleanlab

docs/user_guides/community/cleanlab.md

@@ -0,0 +1,34 @@
+# Cleanlab Integration
+
+The `cleanlab trustworthiness` flow uses trustworthiness score with a default threshold of 0.6 to determine if the output should be allowed or not (i.e., if the trustworthiness score is below the threshold, the response is considered "untrustworthy").
+
+A high trustworthiness score generally correlates with high-quality responses. In a question-answering application, high trustworthiness is indicative of correct responses, while in general open-ended applications, a high score corresponds to the response being helpful and informative. Trustworthiness scores are less useful for creative or open-ended requests.
+
+The mathematical derivation of the score is explained in [Cleanlab's documentation](https://help.cleanlab.ai/tutorials/tlm/#how-does-the-tlm-trustworthiness-score-work), and you can also access [trustworthiness score benchmarks](https://cleanlab.ai/blog/trustworthy-language-model/).
+
+You can easily change the cutoff value for the trustworthiness score by adjusting the threshold in the [config](https://github.com/NVIDIA/NeMo-Guardrails/tree/develop/nemoguardrails/library/cleanlab/flows.co). For example, to change the threshold to 0.7, you can add the following flow to your config:
+
+```colang
+define subflow cleanlab trustworthiness
+  """Guardrail based on trustworthiness score."""
+  $result = execute call cleanlab api
+
+  if $result.trustworthiness_score < 0.7
+    bot response untrustworthy
+    stop
+
+define bot response untrustworthy
+  "Don't place much confidence in this response"
+```
+
+## Setup
+
+Install `cleanlab-studio` to use Cleanlab's trustworthiness score:
+
+```
+pip install cleanlab-studio
+```
+
+Then, you can get an API key for free by [creating a Cleanlab account](https://app.cleanlab.ai/?signup_origin=TLM) or experiment with TLM in the [playground](https://tlm.cleanlab.ai/). You can also [email Cleanlab](mailto:sales@cleanlab.ai) for any special requests or support.
+
+Lastly, set the `CLEANLAB_API_KEY` environment variable with the API key.

docs/user_guides/guardrails-library.md

@@ -652,27 +652,7 @@ rails:
       - cleanlab trustworthiness
 ```
 
-The `cleanlab trustworthiness` flow uses trustworthiness score with a default threshold of 0.6 to determine if the output should be allowed or not (i.e., if the trustworthiness score is below the threshold, the response is considered "untrustworthy").
-
-
-A high trustworthiness score generally correlates with high-quality responses. In a question-answering application, high trustworthiness is indicative of correct responses, while in general open-ended applications, a high score corresponds to the response being helpful and informative. Trustworthiness scores are less useful for creative or open-ended requests.
-
-The mathematical derivation of the score is explained in [Cleanlab's documentation](https://help.cleanlab.ai/tutorials/tlm/#how-does-the-tlm-trustworthiness-score-work), and you can also access [trustworthiness score benchmarks](https://cleanlab.ai/blog/trustworthy-language-model/).
-
-You can easily change the cutoff value for the trustworthiness score by adjusting the threshold in the [config](https://github.com/NVIDIA/NeMo-Guardrails/tree/develop/nemoguardrails/library/cleanlab/flows.co). For example, to change the threshold to 0.7, you can add the following flow to your config:
-
-```colang
-define subflow cleanlab trustworthiness
-  """Guardrail based on trustworthiness score."""
-  $result = execute call cleanlab api
-
-  if $result.trustworthiness_score < 0.7
-    bot response untrustworthy
-    stop
-
-define bot response untrustworthy
-  "Don't place much confidence in this response"
-```
+For more details, check out the [Cleanlab Integration](./community/cleanlab.md) page.
 
 ## Other