Observability and Fault Injection for LLM-Based Multi-Agent Systems in Software Engineering

• URL: http://arxiv.org/abs/2608.24271v1
• Date: Tue, 25 Aug 2026 08:59:08 GMT
• Title: Observability and Fault Injection for LLM-Based Multi-Agent Systems in Software Engineering
• Abstract summary: Large Language Model-based multi-agent systems are increasingly explored for software engineering tasks.<n>We present llmmas-otel, a lightweight and framework-agnostic tool that combines OpenTelemetry-based distributed tracing with fault injection.
• Score: 16.65912184999416
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Large Language Model-based multi-agent systems are increasingly explored for software engineering tasks, but they remain difficult to inspect, debug, and evaluate under controlled failures. We present llmmas-otel, a lightweight and framework-agnostic tool that combines OpenTelemetry-based distributed tracing with fault injection for LLM-based multi-agent systems in software engineering workflows. The tool instruments agent executions with trace-aligned telemetry across workflow phases, agent steps, inter-agent communication, tool calls, and LLM invocations, and supports targeted fault injection at selected interaction points. This makes it possible to compare baseline and faulty executions in a reproducible way and inspect the effects through aligned traces and run artifacts. We describe the motivation, architecture, implementation, current capabilities, and initial validation of the tool on a minimal demo workflow and a real LLM-based multi-agent system for software development.

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