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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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AgentTelemetry: Towards Unified Observability for Autonomous AI Agent Systems

Authors: Balusu, Krishna Chaitanya;

AgentTelemetry: Towards Unified Observability for Autonomous AI Agent Systems

Abstract

 AgentTelemetry is an open-source observability framework for autonomous AI agent systems built on large language models. It introduces agent-specific semantic conventions for distributed tracing — including span kinds for reasoning, LLM calls, tool invocations, planning, retrieval, and inter-agent communication — that extend OpenTelemetry for agent workloads. The framework provides auto-instrumentation for LangChain, CrewAI, AutoGen, and DSPy, W3C-compatible context propagation for multi-agent tracing, privacy-first design with opt-in content capture, built-in cost tracking, and export to any OTLP-compatible backend. Code and tests are available at https://github.com/Krishnachaitanyakc/AgentTelemetry.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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