Dynamic Agent

Build a Dynamic Agent flow for an agentic application using the CrewAI.

An agent uses an LLM as its "brain" to reason through tasks and select among the connected tools to complete them.

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

CrewAI agents have Roles, Goals, and Backstories that define their behavior and interactions with other agents. Agents in a Hierarchical Crew are managed by a single agent with a Manager role, which is connected to an Open AI LLM component to reason through the tasks and select the appropriate tools to complete them.

This flow is "dynamic" because it uses the Chat input component's text to define a CrewAI agent's Role, Goal, and Backstory. The created agent then uses the connected tools to research and complete the Task created from the Chat input component.

Prerequisites

To use this flow, you need an OpenAI API key and a Search API key.

Open Langflow and start a new project

Click New Project, and then select the Dynamic Agent project.

This opens a starter project with the necessary components to run an agentic application using CrewAI.

The Dynamic 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.
• The Yahoo Finance News Tool component creates a tool for retrieving news from Yahoo Finance.

Run the Dynamic Agent flow

1. Add your credentials to the OpenAI and SearchAPI components using Langflow's Global Variables:
   • Click Settings, then Global Variables.
   • Click Add New.
   • Name your variable and paste your API key in the Value field.
   • In the Apply To Fields field, select the field to apply this variable to.
   • Click Save Variable.
2. In the Chat output component, click ▶️ Play to start the end-to-end application flow. A Chat output built successfully message and a ✅ Check on all components indicate that the flow ran successfully.
3. Click Playground to start a chat session. You should receive a detailed, helpful answer to the question defined in the Chat input component.

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