Fixes#289 - Multi-agent context issue
This solution demonstrates how to solve the domain context problem where tools
default to "example.com" instead of user-specified domains. Uses 4 existing
PraisonAI features:
1. Custom tool wrappers with domain injection
2. Agent instructions with domain context
3. Task context parameter for domain info
4. Shared memory for context persistence
Key benefits:
- No core SDK changes required
- Uses only existing framework features
- Multi-layer context reliability
- 100% backward compatible
- Works for hierarchical and other processes
Co-authored-by: MervinPraison <[email protected]>
- Multi-agent system with 6 specialized research agents
- Customizable parameters for company, geography, industry, and sections
- YAML configuration for easy setup and customization
- FastAPI integration with async job processing and REST API
- Professional report generation suitable for business decision-making
- Jupyter notebook with multiple implementation examples
- Complete documentation and usage guidelines
Addresses issue #18 - Secondary market research agent with customization
Co-authored-by: MervinPraison <[email protected]>
Mervin Praison