docs: add Sequential Tasks Agent documentation and sidebar entry (#4877)

* docs: add Sequential Tasks Agent documentation and sidebar entry

* docs: clarify instructions for Sequential Tasks Agent in documentation

* Apply suggestions from code review

Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com>

---------

Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com>

docs/docs/Starter-Projects/starter-projects-sequential-agent.md

@@ -0,0 +1,53 @@
+---
+title: Sequential tasks agent
+sidebar_position: 4
+slug: /starter-projects-sequential-agent
+---
+
+Build a **Sequential Tasks Agent** flow for a multi-agent application using multiple **Agent** components.
+
+Each agent has an LLM model and a unique set of tools at its disposal, with **Prompt** components connected to the **Agent Instructions** fields to control the agent's behavior. For example, the **Researcher Agent** has a **Tavily AI Search** component connected as a tool. The **Prompt** instructs the agent how to answer your query, format the response, and pass the query and research results on to the next agent in the flow.
+
+Each successive agent in the flow builds on the work of the previous agent, creating a chain of reasoning for solving complex problems.
+
+## Prerequisites
+- [An OpenAI API key](https://platform.openai.com/)
+- [A Tavily AI API key](https://www.tavily.com/)
+
+## Open Langflow and create a new flow
+
+1. Click **New Flow**, and then select **Sequential Tasks Agent**.
+This opens a starter template with the necessary components to run the flow.
+
+![Starter flow for Sequential Tasks Agent](/img/starter-flow-sequential-agent.png)
+
+The Sequential Tasks Agent flow consists of these components:
+
+* The **Agent** components use the connected LLM to analyze the user's input and select among the connected tools to complete the tasks.
+* The **Chat Input** component accepts user input to the chat.
+* The **Prompt** component combines the user input with a user-defined prompt.
+* The **Chat Output** component prints the flow's output to the chat.
+* The **YFinance** tool component provides access to financial data from Yahoo Finance.
+* The **Tavily AI Search** tool component performs AI-powered web searches.
+* The **Calculator** tool component performs mathematical calculations.
+
+## Run the Sequential Tasks Agent flow
+
+1. Add your OpenAI API key to the **Agent** components.
+2. Add your Tavily API key to the **Tavily** component.
+3. Click **Playground** to start a chat session with the template's default question.
+
+```plain
+Should I invest in Tesla (TSLA) stock right now?
+Please analyze the company's current position, market trends,
+financial health, and provide a clear investment recommendation.
+```
+
+This question provides clear instructions to the agents about how to proceed and what question to answer.
+
+4. In the **Playground**, inspect the answers to see how the agents use the **Tavily AI Search** tool to research the query, the **YFinance** tool to analyze the stock data, and the **Calculator** to determine if the stock is a wise investment.
+5. Ask similar questions to see how the agents use the tools to answer your queries.
+
+## Next steps
+
+To create your own multi-agent flow, see [Create a problem solving agent](/agents-tool-calling-agent-component).

docs/sidebars.js

@@ -19,6 +19,7 @@ module.exports = {
         'Starter-Projects/starter-projects-memory-chatbot',
         'Starter-Projects/starter-projects-simple-agent',
         'Starter-Projects/starter-projects-vector-store-rag',
+        'Starter-Projects/starter-projects-sequential-agent',
         'Starter-Projects/starter-projects-travel-planning-agent',
       ],
     },