Agent Specifications
Detailed documentation of the specialized AI agents
Agent Specifications
The Company Research Agent uses three specialized AI agents, each with a specific role in the research process. This document details each agent’s configuration and responsibilities.
Researcher Agent
The primary data gathering agent.
Researcher Capabilities
News Search
Finds and analyzes recent news articles about the company
Profile Discovery
Locates company profiles across professional platforms
Data Scraping
Extracts detailed information from various sources
Search Integration
Performs targeted Google searches for specific information
Data Analyst Agent
Processes and analyzes gathered information.
Analysis Capabilities
- Market trend identification
- Financial metric analysis
- Competitive landscape assessment
- Growth pattern recognition
- Risk factor identification
Content Compiler Agent
Formats and structures the research findings.
Compilation Capabilities
- Report structuring
- Key insight highlighting
- Data visualization recommendations
- Executive summary creation
- Action item identification
Agent Interaction Flow
Configuration Parameters
Common Parameters
Parameter | Type | Description |
---|---|---|
role | string | Agent’s specific role |
goal | string | Primary objective |
backstory | string | Context and expertise |
llm | LLM | Language model instance |
Researcher-Specific Parameters
Parameter | Type | Description |
---|---|---|
tools | List[BaseTool] | Available research tools |
verbose | boolean | Output verbosity |
Best Practices
-
Agent Independence
- Each agent operates independently
- Clear separation of responsibilities
- Minimal cross-agent dependencies
-
Error Handling
- Agents handle task-specific errors
- Graceful failure recovery
- Clear error reporting
-
Performance Optimization
- Efficient tool usage
- Resource management
- Output filtering
Agents are designed to be autonomous but collaborative. Each agent focuses on its specific role while contributing to the overall research objective.