diff --git a/404.html b/404.html index 583090ea1c..48e55ab5d2 100644 --- a/404.html +++ b/404.html @@ -23,7 +23,7 @@ - + diff --git a/about-langflow.html b/about-langflow.html index bbcc8e9d68..4ee89a91ba 100644 --- a/about-langflow.html +++ b/about-langflow.html @@ -23,7 +23,7 @@ - + diff --git a/agent-tutorial.html b/agent-tutorial.html index 0fe49a9e89..ade00fee65 100644 --- a/agent-tutorial.html +++ b/agent-tutorial.html @@ -23,7 +23,7 @@ - + @@ -53,10 +53,10 @@

With the agent connected, your application can use any connected tools to retrieve more contextual and timely data without changing any application code. The tools are selected by the agent's internal LLM to solve problems and answer questions.

Prerequisites​

This tutorial uses an OpenAI LLM. If you want to use a different provider, you need a valid credential for that provider.

Create an agentic flow​

diff --git a/agents-tools.html b/agents-tools.html index 532efc1476..4c984051bd 100644 --- a/agents-tools.html +++ b/agents-tools.html @@ -23,7 +23,7 @@ - + @@ -127,7 +127,14 @@ Your flow should be visible in the response as a tool. The connected flow returns an answer based on your question. For example, a Basic Prompting flow connected as a tool returns a different result depending upon its LLM and prompt instructions. -

Run Flow as tool connected to an agent