BerriAI / litellm
github.com·3d ago
Developer Tools
Databricks Blog·Aug 6·5 min read
What are Agentic Workflows?
TL;DR
Agentic workflows enable AI agents to autonomously plan and execute multi-step tasks, representing a significant advancement over traditional single-prompt interactions. This approach allows organizations to streamline complex objectives with minimal human oversight.
✦ Why It Matters
Evaluate your current automation strategies and consider integrating agentic workflows for improved task management.
Key Takeaways
- Explore agentic workflows for complex process automation.
- Implement governance frameworks to manage agent decision-making.
- Utilize tools like LangChain and Temporal for workflow orchestration.
- Monitor costs to prevent budget overruns in agentic AI projects.
How It Works
Agentic workflows consist of four core stages: perceive (gather data), reason (analyze options), act (execute tasks), and learn (refine approach). This iterative process allows agents to adapt their actions based on real-time information, making them capable of handling exceptions and changing conditions effectively.