ax-cpp-agent-observability

ax-cpp-agent-observability is a skill for Claude Code, Codex from ax-llm/ax. It costs 44 tokens per session (1,122 once invoked), scanned A, original, Apache-2.0.

A set of instructions for adding tracing and usage monitoring to C++ agents built with the axllm package. Tracing records what an agent does so its model calls, tools, progress, and failures can be inspected later.

In plain words
What is it for?
Use it when adding action logs, runtime diagnostics, replay, progress callbacks, or per-user and per-request usage accounting to C++ agent code.
Why use it?
It helps developers understand agent behaviour in production, account for usage across users or tenants, and reproduce problems during debugging.

Skill for Claude CodeCodex

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 skills/ax-llm/ax/ax-cpp-agent-observability
Any agent
npx skills add ax-llm/ax --skill ax-cpp-agent-observability
Clone the repo
git clone --depth 1 https://github.com/ax-llm/ax

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 ax-cpp-agent-observability

README.md
[![agentmods](https://agentmods.dev/badge/skills/ax-llm/ax/ax-cpp-agent-observability.svg)](https://agentmods.dev/skills/ax-llm/ax/ax-cpp-agent-observability)
Your own site
<a href="https://agentmods.dev/skills/ax-llm/ax/ax-cpp-agent-observability"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-cpp-agent-observability.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,122 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 $0.00044 $0.01122
Opus 5 $0.00022 $0.00561
Sonnet 5 $0.00009 $0.00224
Haiku 4.5 $0.00004 $0.00112

Measured yesterday against content hash ddb774c309e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ax-cpp-agent-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.

packages/cpp/skills/ax-cpp-agent-observability/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AxAgent Observability For C++

This skill helps an agent write C++ code with the generated Ax package axllm. Use the generated package API, examples, and manifests; do not import TypeScript-only APIs unless you are editing the TypeScript package.

When To Use

  • Inspect agent traces, runtime envelopes, usage, or action logs.
  • Register the process-wide usage observer and attribute model calls by tenant, user, request, run, or feature.
  • Attach callbacks for model/tool activity and runtime progress.
  • Debug agent loops through generated package state and examples.

Package Facts

  • Language: C++.
  • Package: axllm.
  • Package API docs: API.md and axir-api.json.
  • Capability manifest: axir-capabilities.json.
  • Runnable examples: examples/.
  • Real network support: yes.
  • Scripted no-key transport support: yes.
  • Runtime profiles: javascript-quickjs, python-pyodide.

Core Pattern

auto helper = axllm::agent("question:string -> answer:string");
auto out = helper.forward(llm, { {"question", "How should I proceed?"} });

Centralized Usage Observer

Use the process-wide usage observer for application accounting across many agents, API routes, tenants, and users. Keep per-agent usage accessors for inspecting one agent instance after a run.

axllm::set_usage_observer(
    [&usage_queue](axllm::AxUsageEvent event) {
      usage_queue.push(std::move(event));
    });
// Later: axllm::set_usage_observer({});
  • The observer receives one normalized event for each completed chat or embedding call that reports provider usage. A fully consumed stream emits once; an unconsumed or cancelled stream may not emit.
  • Events include the operation, AI/provider name, model, normalized tokens, streaming flag, optional usage context, and available session or remote request IDs.
  • Attach usageContext in AI service options for stable application or environment defaults. Attach it in call or agent-forward option maps for tenant, user, request, run, and feature attribution.
  • Per-call context overrides service defaults. Nested attributes are shallow-merged.
  • The observer is process-wide, best-effort, and fail-open. Registering again replaces the previous observer. Clear it during test teardown or shutdown when appropriate.
  • The observer runs on the request path. Production callbacks should synchronously enqueue into a bounded concurrent queue and return immediately, then persist or aggregate out of band. Use a shared durable pipeline across processes or serverless instances.
  • Keep identifiers opaque and attributes low-cardinality. Do not attach prompts, responses, secrets, or other sensitive payloads.
  • Calculate currency cost downstream against a versioned provider/model pricing table.
  • Runnable provider example: src/examples/cpp/generation/usage_observer.cpp.

Read the full file on GitHub · 69 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 Changed ddb774c309e7
  2. 3d ago First seen · 69 lines · 44 tokens per session scan A ef16b6c1d31c

Subscribe to this mod's changes

ax-cpp-agent-observability is a skill published in the GitHub repository ax-llm/ax (2,892 stars, last pushed 2d ago), licensed Apache-2.0. It adds 44 tokens to every session and 1,122 once invoked, about $0.0002 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.

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