From 261675cb0cd8d6ee571873217041c666f6803e92 Mon Sep 17 00:00:00 2001 From: Clement Wang Date: Tue, 16 Apr 2024 22:32:40 +0800 Subject: [PATCH] update --- docs/concepts/concept-flows.md | 4 +--- docs/how-to-guides/tracing/index.md | 2 -- 2 files changed, 1 insertion(+), 5 deletions(-) diff --git a/docs/concepts/concept-flows.md b/docs/concepts/concept-flows.md index f30f099bf4b..15e37906295 100644 --- a/docs/concepts/concept-flows.md +++ b/docs/concepts/concept-flows.md @@ -2,9 +2,7 @@ While how LLMs work may be elusive to many developers, how LLM apps work is not # Flows -## Flex flows - -{bdg-success-line}`New in version 1.9.0` +## Flex flow You can create LLM apps using a Python function or class as the entry point, which encapsulating your app logic. You can directly test or run these with pure code experience. Or you can define a `flow.flex.yaml` that points to these entries, which enables testing, running, or viewing traces via the [Promptflow VS Code Extension](https://marketplace.visualstudio.com/items?itemName=prompt-flow.prompt-flow). diff --git a/docs/how-to-guides/tracing/index.md b/docs/how-to-guides/tracing/index.md index 9c1c603b643..f1056ffed38 100644 --- a/docs/how-to-guides/tracing/index.md +++ b/docs/how-to-guides/tracing/index.md @@ -4,8 +4,6 @@ This is an experimental feature, and may change at any time. Learn [more](../faq.md#stable-vs-experimental). ::: -{bdg-success-line}`New in version 1.9.0` - Prompt flow provides the trace feature to capture and visualize the internal execution details for all flows. For `DAG flow`, user can track and visualize node level inputs/outputs of flow execution, it provides critical insights for developer to understand the internal details of execution.