---
id: microsoft-agents-a365-observability-core
version: "1.0.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# microsoft-agents-a365-observability-core — Telemetry, tracing, and monitoring components for AI agents

License: permissive · Maintenance: active · Downloads: 98.5K/mo

## 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 above — verify before relying.

Provides OpenTelemetry-based telemetry, tracing, and monitoring for AI agents, with structured spans for agent invocation, tool execution, and LLM inference.

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

pip install microsoft-agents-a365-observability-core
uv add microsoft-agents-a365-observability-core
poetry add microsoft-agents-a365-observability-core

## Installing microsoft-agents-a365-observability-core

Before you install: Low install friction; depends on established OpenTelemetry packages and standard utilities. Actively maintained with recent commits and no known vulnerabilities.

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=python

Requires Python 3.11 or later; depends on opentelemetry-api, opentelemetry-sdk, and microsoft-agents-a365-runtime.

Verify 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_current
- Install friction: low
- Maintenance: active
- Downloads: 98.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

opentelemetry tracing for ai agents, agent observability and monitoring, llm inference telemetry, structured span instrumentation, agent tool execution tracing, context propagation monitoring, ai agent observability, opentelemetry, agent-instrumentation, distributed-tracing

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