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docs: Remove template pages because templates already include explanatory notes within Langflow (#9235)

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* finish template description

* remove travel planning and simple agent pages

* remove sequential agent and memory chatbot

* remove 2 template, finish redirects, sidebar

* remove vector store rag page

* remove basic prompting page

* add bold to template name

* fix link
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30
docs/docs/Agents/agents-tools.mdx
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@ -25,24 +25,26 @@ Tool names and descriptions can be edited, but the default tool identifiers cann
## Use an agent as a tool
The agent component itself also supports **Tool Mode** for creating multi-agent flows.
To create multi-agent flows, you can set another **Agent** component to **Tool Mode**, and then attach that agent as a tool for your primary **Agent** component.
Add an agent to your flow that uses a different OpenAI model for a larger context window.
To try this for yourself, add an additional agent to the **Simple Agent** template:
1. Create the [Simple agent starter flow](/simple-agent).
2. Add a second agent component to the flow.
3. Add your **OpenAI API Key** to the **Agent** component.
4. In the **Model Name** field, select `gpt-4.1`.
5. Click **Tool Mode** to use this new agent as a tool.
6. Connect the new agent's **Toolset** port to the previously created agent's **Tools** port.
The new agent will use `gpt-4.1` for the larger tasks of scraping and searching information that require large context windows.
The previously created agent will now use this agent as a tool, with its unique LLM and toolset.
1. Create a flow based on the **Simple Agent** template.
2. Add a second **Agent** component to the flow.
3. Add your **OpenAI API Key** to both **Agent** components.
4. In the second **Agent** component, change the model to `gpt-4.1`, and then enable **Tool Mode**.
5. Click <Icon name="SlidersHorizontal" aria-hidden="true"/> **Edit Tools** to set tool names and descriptions that help the primary agent understand how to use those tools.
![Agent as a tool](/img/agent-example-agent-as-tool.png)
For this example, change the tool name to `Agent-gpt-41` and set the description to `Use the gpt-4.1 model for complex problem solving`.
This lets the primary agent know that this tool uses the `gpt-4.1` model, which could be helpful for tasks requiring a larger context window, such as large scrape and search tasks.
7. The new agent's actions can be edited to help the agent understand how to use it.
Click <Icon name="SlidersHorizontal" aria-hidden="true"/> **Edit Tools** to modify its `name`, `description`, or `enabled` metadata.
For example, the default tool name is `Agent`. Edit the name to `Agent-gpt-41`, and edit the description to `Use the gpt-4.1 model for complex problem solving`. The connected agent will understand that this is the `gpt-4.1` agent, and will use it for tasks requiring a larger context window.
As another example, you could attach several specialized models to a primary agent, such as agents that are trained on certain tasks or domains, and then the primary agent would call each specialized agent as needed to respond to queries.
You can also enable and disable tools if you want to limit the available toolset.
6. Connect the new agent's **Toolset** port to the existing agent's **Tools** port.
![Agent as a tool](/img/agent-example-agent-as-tool.png)
## Add custom components as tools {#components-as-tools}

4
docs/docs/Agents/agents.mdx
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@ -10,7 +10,7 @@ This component provides everything you need to create an agent, including multip
It simplifies agent configuration so you can focus on application development.
<details>
<summary>How agents work</summary>
<summary>How do agents work?</summary>
Agents extend LLMs by integrating _tools_, which are functions that provide additional context and enable autonomous task execution.
These integrations make agents more specialized and powerful than standalone LLMs.
@ -31,7 +31,7 @@ The `Tool` object's description tells the agent what the tool can do so that it
## Use the Agent component in a flow
The following steps explain how to create an agentic flow in Langflow from a blank flow.
For a prebuilt example, use the [**Simple Agent** template](/simple-agent) or try the [Langflow quickstart](/get-started-quickstart).
For a prebuilt example, use the **Simple Agent** template or try the [Langflow quickstart](/get-started-quickstart).
1. Click **New Flow**, and then click **Blank Flow**.
2. Add an **Agent** component to the **Workspace**.