Agents Overview
Learn about the agent system used by the Newsletter AI Agent
Agents Overview
The Newsletter AI Agent uses a multi-agent system powered by CrewAI to generate newsletters. This system consists of three specialized agents that work together to research, write, and edit the newsletter content.
Agent Architecture
The agent system is implemented using CrewAI, which provides a framework for creating and coordinating multiple agents. Each agent has a specific role, goal, and set of tools that it can use to accomplish its tasks.
Integration with Apify
The agents use tools that leverage Apify actors for web scraping and data collection. Apify provides a platform for running web scraping and automation tasks at scale, which allows the Newsletter AI Agent to gather information from various sources efficiently.
The integration with Apify is implemented through a base class in src/tools/base.py
that provides a standardized way to call Apify actors and process their results:
Agent Roles
The Newsletter AI Agent consists of three specialized agents:
1. Researcher Agent
The Researcher Agent is responsible for gathering information about the specified topic. It uses a set of tools to search the web, collect social media posts, find relevant videos, and gather news articles.
Tools:
- Google Scraper Tool: Uses the Apify Google Search Scraper actor to search the web
- Reddit Scraper Tool: Uses an Apify Reddit scraper actor to gather discussions
- Twitter Scraper Tool: Uses the Apify Twitter Scraper Lite actor to collect tweets
- YouTube Scraper Tool: Uses an Apify YouTube scraper actor to find videos
- Google News Scraper Tool: Uses the Apify Super Fast Google News Scraper actor to gather news articles
2. Writer Agent
The Writer Agent is responsible for transforming the research data into engaging newsletter content. It takes the information gathered by the Researcher Agent and creates a well-structured newsletter draft.
Capabilities:
- Content creation from research data
- Structuring the newsletter into sections
- Formatting the content in markdown
- Adding links to sources
3. Editor Agent
The Editor Agent is responsible for reviewing and improving the newsletter draft. It ensures that the content is polished, error-free, and ready for distribution.
Capabilities:
- Grammar and spelling correction
- Style and tone consistency
- Fact-checking
- Formatting and layout improvement
Agent Workflow
The agents work together in a sequential workflow to generate the newsletter:
- The Researcher Agent gathers information about the specified topic
- The Writer Agent transforms the research data into a newsletter draft
- The Editor Agent reviews and improves the draft to create the final newsletter
This workflow is orchestrated by the NewsletterCrew
class in src/newsletter_crew.py
, which creates the agents, defines their tasks, and manages the flow of information between them.
Agent Implementation
Each agent is implemented as a class in the src/agents
directory:
src/agents/researcher.py
: Implements the Researcher Agentsrc/agents/writer.py
: Implements the Writer Agentsrc/agents/editor.py
: Implements the Editor Agent
The agents are created using CrewAI’s Agent
class, which provides a framework for defining an agent’s role, goal, backstory, and tools.
Configuration
The agent system can be configured through environment variables and configuration files:
- Environment Variables: Set API keys and other credentials in the
.env
file - Configuration Files: Modify agent behavior in the
src/config
directory
Next Steps
- Learn more about the Researcher Agent
- Explore the Writer Agent
- Discover the Editor Agent
- See how the agents contribute to the newsletter generation process