DAGent

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What is DAGent?

DAGent is a Python library designed to simplify the creation of AI agents using Directed Acyclic Graphs (DAGs). It structures workflows by treating functions as nodes in a graph, enabling LLMs to decide which functions to run. The library supports various models and allows for easy customization of tools and decision-making processes.

Features

Structures workflows using DAGs for AI agents

Supports multiple LLM models for inference

Automatically generates tool descriptions for DecisionNodes

Allows function chaining with prev_output parameter

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Pros and Cons of DAGent

Pros

Simplifies AI agent creation with minimal overhead

Supports flexible integration of different LLM models

Enables easy customization of tools and workflows

Provides clear structure for complex agent tasks

Automates tool description generation for efficiency

Cons

Requires understanding of DAGs for effective use

May need manual tweaking of tool descriptions

Potential complexity in handling multiple function nodes

DAGent Use Cases

Automating decision-making workflows in AI systems

Streamlining multi-step data processing tasks

Enhancing LLM-based tool selection and execution

Building custom AI agents for specific business needs

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