astra-langchain4j: Experiences Combining LLMs and Agent Programming
Given the emergence of Generative AI over the last two years and the increasing focus on Agentic AI as a form of Multi-Agent System it is important to explore both how such technologies can impact the use of traditional Agent Toolkits and how the wealth of experience encapsulated in those toolkits can influence the design of the new agentic platforms. This paper presents an overview of our experience developing a prototype large language model (LLM) integration for the ASTRA programming language. It presents a brief overview of the toolkit, followed by three example implementations, concluding with a discussion of the experiences garnered through the examples.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Astra: A Multi-Agent System for GPU Kernel Performance Optimization
GPU kernel optimization has long been a central challenge at the intersection of high-performance computing and machine learning. Efficient kernels are crucial for accelerating large language model (LLM) training and ser…
Code GenerationAstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs
Reinforcement learning (RL) is increasingly used to improve the reasoning, coding, and tool-use capabilities of large language models, but agentic RL remains prohibitively expensive. Scaling RL to agentic LLMs requires s…
Reinforcement LearningAstraea: A State-Aware Scheduling Engine for LLM-Powered Agents
Large Language Models (LLMs) are increasingly being deployed as intelligent agents. Their multi-stage workflows, which alternate between local computation and calls to external network services like Web APIs, introduce a…
ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas
Large language models (LLMs) are increasingly used as tool-augmented agents for multi-step decision making, yet training robust tool-using agents remains challenging. Existing methods still require manual intervention, d…
Reinforcement LearningDecision MakingHumSum: A Personalized Lecture Summarization Tool for Humanities Students Using LLMs
Generative AI systems aim to create customizable content for their users, with a subsequent surge in demand for adaptable tools that can create personalized experiences. This paper presents HumSum, a web-based tool tailo…