Hierarchical Tasks Agent

Build a Hierarchical Tasks Agent flow for a multi-shot application using CrewAI.

This flow uses CrewAI to manage a Hierarchical Crew of Agents as they perform a sequence of Tasks.

Open Langflow and start a new project

  1. In the Astra Portal header, switch your active app from Astra DB Serverless to Langflow.

  2. In Langflow, click New Project, and then select the Hierarchical Tasks Agent project.

This opens a starter project with the necessary components to run a multi-shot application using CrewAI.

Hierarchical Tasks Agent flow

The Hierarchical Tasks Agent flow consists of these components:

  • The Chat Input component accepts user input to the chat.

  • The Prompt component combines the user input with a user-defined prompt.

  • The OpenAI model component sends the user input and prompt to the OpenAI API and receives a response.

  • The Chat Output component prints the flow’s output to the chat.

  • The CrewAI Agent component is an autonomous unit programmed to perform tasks, make decisions, and communicate with other agents.

  • The Crew AI Crew component represents a collaborative group of agents working together to achieve a set of tasks. This Crew can manage work sequentially or hierarchically.

  • The Crew AI Task component is a specific assignment to be completed by agents. This task can be sequential or hierarchical depending on the Crew’s configuration.

  • The SearchAPI tool performs web searches using the SearchAPI.io API.

Run the Hierarchical Tasks Agent flow

  1. Add your credentials to the Open AI and Search API components. The fastest and most secure way to add credentials is with Langflow’s Global Variables.

    1. Click settings Settings, and then click language Global Variables.

    2. Click Add New.

    3. Name your variable. Paste your API key in the Value field.

    4. In the Apply To Fields field, select the field you want to globally apply this variable to.

    5. Click Save Variable.

  2. In the Chat output component, click play_arrow Play to start the end-to-end application flow. A Chat output built successfully message and a check Check on all components indicate that the flow ran successfully.

  3. Click Playground Playground to view the flow’s output. The default output is a concise explanatory text about Langflow.

    Now that your query has completed the journey from Chat input to Chat output, you have completed the Hierarchical Tasks Agent flow.

Next steps

To interact with this flow as an API endpoint, see the Langflow API.

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