microsoft-agents-a365-observability-core
Telemetry, tracing, and monitoring components for AI agents
Decision gist · record as of 2026-08-14
Yes, if you are building AI agents on the Microsoft Agent365 platform and need production observability. The package has low install friction, active maintenance, permissive licensing, and no known vulnerabilities. It is in Alpha status, so expect the API to evolve; verify that the instrumentation surface matches your monitoring requirements before committing to it in production.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later; depends on opentelemetry-api, opentelemetry-sdk, and microsoft-agents-a365-runtime.
- Low install friction; depends on established OpenTelemetry packages and standard utilities.
- Actively maintained with recent commits and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license is permissive and places no significant restrictions on use, modification, or distribution in commercial or open-source projects.
last release 2026-05-01 (105 days) · last repo commit 2026-07-25 · 40 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 98,504 downloads/mo, #13,079 on PyPI
Alternatives
Verify before relying
pip install microsoft-agents-a365-observability-core
from microsoft_agents_a365_observability_core import ...
# See https://learn.microsoft.com/microsoft-agent-365/developer/observability?tabs=python- Specific API surface and available span types for agent, tool, and LLM instrumentation
- Whether pluggable exporters support all major observability backends
- Performance overhead of structured tracing at scale
What it is and what it does
This package is a telemetry and tracing layer for AI agents built on the OpenTelemetry standard. It instruments agent invocation, tool execution, and LLM inference with structured spans and context propagation, allowing you to observe and monitor agent behavior across distributed systems. The package integrates with opentelemetry-api, opentelemetry-sdk, and opentelemetry-exporter-otlp to support pluggable exporters for sending traces to various observability backends.
It is part of the Microsoft Agent365 ecosystem and is designed for developers building production AI agents who need visibility into agent execution, tool calls, and LLM interactions. The package is in active development (Alpha status) and targets Python 3.11 and later.
Use it for
- Instrument AI agent workflows to trace invocation paths, tool calls, and LLM inference latency across distributed systems.
- Export structured telemetry from agent execution to observability platforms via OpenTelemetry exporters.
- Monitor and debug agent behavior by analyzing context-propagated spans for each agent invocation and tool execution.
- Correlate agent traces with downstream service calls and infrastructure metrics for end-to-end observability.
- Build custom monitoring dashboards and alerts based on agent execution telemetry and LLM inference metrics.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building AI agents on the Microsoft Agent365 platform and need production observability.
The package has low install friction, active maintenance, permissive licensing, and no known vulnerabilities. It is in Alpha status, so expect the API to evolve; verify that the instrumentation surface matches your monitoring requirements before committing to it in production.
Install
microsoft-agents-a365-observability-core on PyPI
Before you install
Low install friction; depends on established OpenTelemetry packages and standard utilities. Actively maintained with recent commits and no known vulnerabilities.
Requires Python 3.11 or later; depends on opentelemetry-api, opentelemetry-sdk, and microsoft-agents-a365-runtime.
License in practice
MIT license is permissive and places no significant restrictions on use, modification, or distribution in commercial or open-source projects.
Quickstart
pip install microsoft-agents-a365-observability-core
from microsoft_agents_a365_observability_core import ...
# See https://learn.microsoft.com/microsoft-agent-365/developer/observability?tabs=pythonVerify before relying
- Specific API surface and available span types for agent, tool, and LLM instrumentation
- Whether pluggable exporters support all major observability backends
- Performance overhead of structured tracing at scale
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagesopentelemetry-apiopentelemetry-sdkopentelemetry-exporter-otlppydantictyping-extensionswraptmicrosoft-agents-a365-runtime |
| Maintenance | Actively maintained 105 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 98,504 / month, #13,079 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries :: Python ModulesTopic :: System :: Monitoring |
Evidence: microsoft_agents_a365_observability_core-1.0.0-py3-none-any.whl
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