[Docs] Update docs on data privacy risks involving use of LangSmith and LangFuse

.vale/styles/Microsoft/Headings.yml

@@ -71,6 +71,8 @@ exceptions:
   - Kubernetes Service
   - Lambda
   - LangChain
+  - LangFuse
+  - LangSmith
   - Linux
   - MySQL
   - Notebook

.vale/styles/Microsoft/ignore.txt

@@ -19,6 +19,7 @@ formatters
 fsspec
 globals
 Globals
+interpretability
 Kaggle
 namespace
 namespaces

vizro-ai/docs/pages/explanation/safety-in-vizro-ai.md

@@ -68,3 +68,13 @@ Users must exercise caution when executing code generated by or influenced by AI
 - Always review and understand the selected model before connecting with `vizro_ai`
 
 To learn more, refer to the section that describes how to [safeguard execution of dynamic code](safeguard.md).
+
+
+## Debugging in Vizro-AI with LangSmith and LangFuse
+
+[LangSmith](https://docs.smith.langchain.com/) and [LangFuse](https://langfuse.com/docs) are tools designed to enhance transparency and interpretability in AI workflows.
+To improve debugging and traceability, you can use the advanced observability and evaluation features of these tools with Vizro-AI.
+
+To ensure responsible use, review their data privacy and security policies. See [LangFuse Data Security & Privacy ](https://langfuse.com/docs/data-security-privacy) and [LangSmith Privacy Policy](https://www.langchain.com/privacy-policy) site for more details.
+
+Additionally, both support self-hosting options, which may be critical for security oriented users.See [LangSmith](https://docs.smith.langchain.com/self_hosting) and [LangFuse](https://langfuse.com/docs/deployment/self-host) self-hosting guides for more details. LangFuse offers a self-hosting service under the MIT License.