enable-observability

A tutorial for enabling OpenTelemetry in an AI agent, so interactions can be recorded as tracing data and exported. The example sends that output to the console.

In plain words
What is it for?
It is for adding the required .NET packages, enabling agent telemetry, and configuring a console trace exporter.
Why use it?
It helps developers inspect and monitor agent interactions instead of treating the agent as an unobservable process.

Agent for Codex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/managedcode/prompterone/enable-observability
Clone the repo
git clone --depth 1 https://github.com/managedcode/PrompterOne

Made for: Codex.

Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,178 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00012 $0.02178
Opus 5 $0.00006 $0.01089
Sonnet 5 $0.00002 $0.00436
Haiku 4.5 $0.00001 $0.00218

Measured yesterday against content hash d03e2d0e5c91, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

enable-observability scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/tutorials/agents/enable-observability.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Enabling observability for Agents

::: zone pivot="programming-language-csharp"

This tutorial shows how to enable OpenTelemetry on an agent so that interactions with the agent are automatically logged and exported. In this tutorial, output is written to the console using the OpenTelemetry console exporter.

[!NOTE] For more information about the standards followed by Microsoft Agent Framework, see Semantic Conventions for GenAI agent and framework spans from Open Telemetry.

Prerequisites

For prerequisites, see the Create and run a simple agent step in this tutorial.

Install NuGet packages

To use Microsoft Agent Framework with Azure OpenAI, you need to install the following NuGet packages:

dotnet add package Azure.AI.OpenAI --prerelease
dotnet add package Azure.Identity
dotnet add package Microsoft.Agents.AI.OpenAI --prerelease

To also add OpenTelemetry support, with support for writing to the console, install these additional packages:

dotnet add package OpenTelemetry
dotnet add package OpenTelemetry.Exporter.Console

Enable OpenTelemetry in your app

Enable Agent Framework telemetry and create an OpenTelemetry TracerProvider that exports to the console. The TracerProvider must remain alive while you run the agent so traces are exported.

using System;
using OpenTelemetry;
using OpenTelemetry.Trace;

// Create a TracerProvider that exports to the console
using var tracerProvider = Sdk.CreateTracerProviderBuilder()
    .AddSource("agent-telemetry-source")
    .AddConsoleExporter()
    .Build();

Create and instrument the agent

Create an agent, and using the builder pattern, call UseOpenTelemetry to provide a source name. Note that the string literal agent-telemetry-source is the OpenTelemetry source name that you used when you created the tracer provider.

using System;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI;

// Create the agent and enable OpenTelemetry instrumentation
AIAgent agent = new AzureOpenAIClient(
    new Uri("https://<myresource>.openai.azure.com"),
    new AzureCliCredential())
        .GetChatClient("gpt-4o-mini")
        .AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker")
        .AsBuilder()
        .UseOpenTelemetry(sourceName: "agent-telemetry-source")
        .Build();

Read the full file on GitHub · 277 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 277 lines · 12 tokens per session scan A d03e2d0e5c91

Subscribe to this mod's changes

enable-observability is an agent published in the GitHub repository managedcode/PrompterOne (42 stars, last pushed 3mo ago), licensed MIT. It adds 12 tokens to every session and 2,178 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other agents, from other repositories

se-technical-writer

Technical writing specialist. Use PROACTIVELY to create or update developer documentation under docs/ when new features are implemented or implementation details need documenting. Produces guides, tutorials, ADRs, and reference docs.

Andes-Software-Solutions/Andes.Extensions.AI · 48 tokens

release-manager

Owns the end-to-end modelcontextprotocol/csharp-sdk release process, orchestrating the prepare-release and publish-release skills (and the bump-version and breaking-changes skills they build on) across five stages: prepare (assess SemVer, bump the version, run ApiCompat/ApiDiff, review docs, draft release notes, open…

modelcontextprotocol/csharp-sdk · 317 tokens

wpf-data-binding-expert

WPF data binding specialist. Implements complex bindings (MultiBinding, PriorityBinding), custom converters, validation patterns, and debugging binding issues.

christian289/dotnet-with-claudecode · 34 tokens

wpf-control-designer

WPF CustomControl design and implementation specialist. Defines DependencyProperty, implements Parts and States Model, OnApplyTemplate patterns.

christian289/dotnet-with-claudecode · 30 tokens

serena-initializer

Serena MCP initialization agent. Checks if current project is activated and onboarded in Serena, performs activation and onboarding if not completed. Use when starting work on a new project or when Serena tools fail.

christian289/dotnet-with-claudecode · 46 tokens

theme-slot-auditor

Read-only auditor for Fluence.Wpf theming structure. Use after any theme, brush, color, accent, or ApplicationThemeManager change to verify the three-slot MergedDictionaries invariant, that slot [0] is rebuilt and replaced every Apply, DynamicResource usage, BrushFactory auto-twinning, canonical WinUI key names, and…

sintaxasn/Fluence.Wpf · 90 tokens