docs: `portkey` update (#10261)

Added the `Portkey` description. Fixed a title in the nested document
(and nested navbar).

docs/extras/integrations/providers/portkey/index.md

@@ -1,4 +1,10 @@
 # Portkey
+
+>[Portkey](https://docs.portkey.ai/overview/introduction) is a platform designed to streamline the deployment 
+> and management of Generative AI applications. 
+> It provides comprehensive features for monitoring, managing models,
+> and improving the performance of your AI applications.
+
 ## LLMOps for Langchain
 
 Portkey brings production readiness to Langchain. With Portkey, you can 

docs/extras/integrations/providers/portkey/logging_tracing_portkey.ipynb

@@ -1,19 +1,14 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Log, Trace, and Monitor Langchain LLM Calls\n",
+    "# Log, Trace, and Monitor\n",
     "\n",
     "When building apps or agents using Langchain, you end up making multiple API calls to fulfill a single user request. However, these requests are not chained when you want to analyse them. With [**Portkey**](/docs/ecosystem/integrations/portkey), all the embeddings, completion, and other requests from a single user request will get logged and traced to a common ID, enabling you to gain full visibility of user interactions.\n",
     "\n",
-    "This notebook serves as a step-by-step guide on how to integrate and use Portkey in your Langchain app."
+    "This notebook serves as a step-by-step guide on how to log, trace, and monitor Langchain LLM calls using `Portkey` in your Langchain app."
    ]
   },
   {
@@ -234,9 +229,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }