Copertina

AgentTrace: A Structured Logging Framework for Agent System Observability

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	AlSayyad, Adam, Huang, Kelvin Yuxiang, Pal, Richik
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems
di: Wang, Zhaohui Geoffrey
Pubblicazione: (2026)

Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents
di: Rombaut, Benjamin, et al.
Pubblicazione: (2024)

Efficient Failure Management for Multi-Agent Systems with Reasoning Trace Representation
di: Zhang, Lingzhe, et al.
Pubblicazione: (2026)

LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis
di: Karanjai, Rabimba, et al.
Pubblicazione: (2024)

TraceCoder: A Trace-Driven Multi-Agent Framework for Automated Debugging of LLM-Generated Code
di: Huang, Jiangping, et al.
Pubblicazione: (2026)

From Flat Logs to Causal Graphs: Hierarchical Failure Attribution for LLM-based Multi-Agent Systems
di: Wang, Yawen, et al.
Pubblicazione: (2026)

CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems
di: Lyu, Zongyi, et al.
Pubblicazione: (2026)

An Empirical Study of Agent Developer Practices in AI Agent Frameworks
di: Wang, Yanlin, et al.
Pubblicazione: (2025)

Squeez: Task-Conditioned Tool-Output Pruning for Coding Agents
di: Kovács, Ádám
Pubblicazione: (2026)

AgentMesh: A Cooperative Multi-Agent Generative AI Framework for Software Development Automation
di: Khanzadeh, Sourena
Pubblicazione: (2025)

OrcaLoca: An LLM Agent Framework for Software Issue Localization
di: Yu, Zhongming, et al.
Pubblicazione: (2025)

Loosely-Structured Software: Engineering Context, Structure, and Evolution Entropy in Runtime-Rewired Multi-Agent Systems
di: Zhang, Weihao, et al.
Pubblicazione: (2026)

AgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software Engineering
di: Kumar, Rajesh, et al.
Pubblicazione: (2026)

CODESTRUCT: Code Agents over Structured Action Spaces
di: Kim, Myeongsoo, et al.
Pubblicazione: (2026)

A Self-Healing Framework for Reliable LLM-Based Autonomous Agents
di: Jeong, Cheonsu, et al.
Pubblicazione: (2026)

MAO: A Framework for Process Model Generation with Multi-Agent Orchestration
di: Lin, Leilei, et al.
Pubblicazione: (2024)

SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs
di: Aghili, Roozbeh, et al.
Pubblicazione: (2025)

AgentGit: A Version Control Framework for Reliable and Scalable LLM-Powered Multi-Agent Systems
di: Li, Yang, et al.
Pubblicazione: (2025)

Can Agents Fix Agent Issues?
di: Rahardja, Alfin Wijaya, et al.
Pubblicazione: (2025)

Structurally Aligned Subtask-Level Memory for Software Engineering Agents
di: Shen, Kangning, et al.
Pubblicazione: (2026)

An Agent-Based Framework for the Automatic Validation of Mathematical Optimization Models
di: Zadorojniy, Alexander, et al.
Pubblicazione: (2025)

Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent Systems
di: Xiong, Qian, et al.
Pubblicazione: (2025)

JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language Agents
di: Ghoshal, Sandip, et al.
Pubblicazione: (2026)

Contractual Skills: A GovernSpec Design Framework for Enterprise AI Agents
di: Liu, Ting
Pubblicazione: (2026)

Skilled AI Agents for Embedded and IoT Systems Development
di: Li, Yiming, et al.
Pubblicazione: (2026)

Cleaning Maintenance Logs with LLM Agents for Improved Predictive Maintenance
di: Dimidov, Valeriu, et al.
Pubblicazione: (2025)

Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel Faults
di: Zhou, Zhenhao, et al.
Pubblicazione: (2025)

AgentGuard: Runtime Verification of AI Agents
di: Koohestani, Roham
Pubblicazione: (2025)

SpecAgent: A Speculative Retrieval and Forecasting Agent for Code Completion
di: Ma, George, et al.
Pubblicazione: (2025)

AgentHub: A Registry for Discoverable, Verifiable, and Reproducible AI Agents
di: Pautsch, Erik, et al.
Pubblicazione: (2025)

Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents
di: Zhao, Chenyu, et al.
Pubblicazione: (2026)

ALMAS: an Autonomous LLM-based Multi-Agent Software Engineering Framework
di: Tawosi, Vali, et al.
Pubblicazione: (2025)

Beyond Isolated Tasks: A Framework for Evaluating Coding Agents on Sequential Software Evolution
di: Shastry, KN Ajay, et al.
Pubblicazione: (2026)

VulnAgent-X: A Layered Agentic Framework for Repository-Level Vulnerability Detection
di: Meng, Renwei, et al.
Pubblicazione: (2026)

Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents
di: Dang, Hy, et al.
Pubblicazione: (2026)

RefAgent: A Multi-agent LLM-based Framework for Automatic Software Refactoring
di: Oueslati, Khouloud, et al.
Pubblicazione: (2025)

SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents
di: Zhao, Bingchen, et al.
Pubblicazione: (2026)

AgentStepper: Interactive Debugging of Software Development Agents
di: Hutter, Robert, et al.
Pubblicazione: (2026)

HAFixAgent: History-Aware Program Repair Agent
di: Shi, Yu, et al.
Pubblicazione: (2025)

Agyn: A Multi-Agent System for Team-Based Autonomous Software Engineering
di: Benkovich, Nikita, et al.
Pubblicazione: (2026)