From f5d08be4776274fff0287dd7bc0c74078b906c23 Mon Sep 17 00:00:00 2001 From: Leonid Ganeline Date: Fri, 8 Sep 2023 06:37:46 -0700 Subject: [PATCH] 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 | 6 ++++++ .../providers/portkey/logging_tracing_portkey.ipynb | 13 ++++--------- 2 files changed, 10 insertions(+), 9 deletions(-) diff --git a/docs/extras/integrations/providers/portkey/index.md b/docs/extras/integrations/providers/portkey/index.md index 51a99623863..daefe35a225 100644 --- a/docs/extras/integrations/providers/portkey/index.md +++ b/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 diff --git a/docs/extras/integrations/providers/portkey/logging_tracing_portkey.ipynb b/docs/extras/integrations/providers/portkey/logging_tracing_portkey.ipynb index e26fabd6593..7fd2cd41611 100644 --- a/docs/extras/integrations/providers/portkey/logging_tracing_portkey.ipynb +++ b/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 }