PrompterOne: Agent for Claude Code

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

enable-observability is an agent for Claude Code, Codex from managedcode/PrompterOne. It costs 12 tokens per session (2,178 once invoked), scanned A, original, MIT.

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 Claude CodeCodex

Written for Codex and Claude Code: installed under .codex/, but also a Claude Code subagent (agents/*.md).

This is managedcode/PrompterOne's own configuration. It tells Claude Code and Codex how to work on PrompterOne itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything PrompterOne configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is For more detailed setup instructions, see the [Microsoft Foundry setup](../../user-guide/observability.md#microsoft-foundry-setup) section in the user guide..

Reuse

Borrowing it

Nothing to install: this file belongs to managedcode/PrompterOne. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/managedcode/PrompterOne/main/.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/tutorials/agents/enable-observability.md
Clone the repo
git clone --depth 1 https://github.com/managedcode/PrompterOne

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for enable-observability

README.md
[![agentmods](https://agentmods.dev/badge/agents/managedcode/prompterone/enable-observability/github.svg)](https://agentmods.dev/agents/managedcode/prompterone/enable-observability)
Your own site
<a href="https://agentmods.dev/agents/managedcode/prompterone/enable-observability"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/enable-observability/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for enable-observability

Your own site · 80×15
<a href="https://agentmods.dev/agents/managedcode/prompterone/enable-observability"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/enable-observability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
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. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00012 $0.02178
Opus 5.5 $0.00005 $0.00871
Sonnet 5.5 $0.00002 $0.00436
Haiku 4.5 $0.00001 $0.00218

Measured 1mo ago against content hash d03e2d0e5c91, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo ago.

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

1 near-identical copy 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. 1mo ago 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 (45 stars, last pushed 5mo ago), licensed MIT. It adds 12 tokens to every session and 2,178 once invoked, about $0.0000 per session on Opus 5.5. 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