LangGraph - Intro
AI Summary
- Introduction to Lang Grath
- New library built on Lang Chain
- Simplifies creation of agents and agent runtimes
- Definition of Concepts
- Agent: System using a language model to decide actions
- Agent Runtime: Executes agent in a loop, records observations, and continues until agent finishes
- Customization and Development
- Lang Chain Expression Language allows agent customization
- Lang Grath enables flexible and dynamic agent runtime customization
- Features of Lang Grath
- Adds cyclical capabilities to agent runtimes
- Introduces new frameworks for cyclical processes, unlike non-cyclical Lang Chain Expression Language
- Main Agent Runtimes in Lang Grath
- Agent Executor: Recreated from Lang Chain with L Graph
- Chat Agent Executor: Handles chat-based models, represents agent state as a list of messages
- Modifications and Enhancements
- Various ways to modify base agent executors
- Includes adding human-in-the-loop and prioritizing specific tool calls
- Conclusion
- Upcoming videos to focus on detailed features of agent runtimes in Lang Grath