DAGent

DAGent - Directed Acyclic Graphs (DAGs) as AI Agents

DAGent is a Python library designed to streamline the creation of AI agents by structuring them into workflows using directed acyclic graphs (DAGs).

Key Features:

• Tool Abstraction: Functions are treated as tools that LLMs can utilize, with docstrings and annotations aiding in LLM inference.
• Function Nodes: Executes Python functions, which can be attached to Decision Nodes.
• Decision Nodes: LLMs select functions to run from available options. Tool descriptions are autogenerated and stored in Tool_JSON folder, which can be manually edited for better agent reliability.
• Model Flexibility: Supports different LLM models for inference and tool description generation, including Groq and Ollama.
• Data Passing: Facilitates data transfer between functions using the prev_output parameter.

Use Cases:

• Automated task execution using AI agents.
• Building complex workflows with LLM-driven decision-making.
• Integrating existing Python code into AI agent frameworks.