Ax is a TypeScript-first programming framework for building applications with large language models through typed generation, agents, workflows, and optimization tools. It is intended for developers who want one model for LLM programs across TypeScript, Python, Java, C++, Go, Rust, and other runtimes.
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.
npx skills add ax-llm/ax --skill ax-cpp-aigit clone --depth 1 https://github.com/ax-llm/axWrote 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.
[](https://agentmods.dev/skills/ax-llm/ax/ax-cpp-ai)<a href="https://agentmods.dev/skills/ax-llm/ax/ax-cpp-ai"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-cpp-ai/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.
<a href="https://agentmods.dev/skills/ax-llm/ax/ax-cpp-ai"><img src="https://agentmods.dev/badge/skills/ax-llm/ax/ax-cpp-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.06561 |
| Opus 5.5 | $0.00019 | $0.02624 |
| Sonnet 5.5 | $0.00009 | $0.01312 |
| Haiku 4.5 | $0.00005 | $0.00656 |
Grade A, and why
ax-cpp-ai 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 today.
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.
Copies of this mod
4 near-identical copies found in the catalogue:
- ax-java-ai — 88% identical, 34 lines differ
- ax-rust-ai — 86% identical, 35 lines differ
- ax-python-ai — 86% identical, 33 lines differ
- ax-go-ai — 86% identical, 41 lines differ
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AxAI Providers 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
- Create provider clients or normalize provider options.
- Choose a named deployment profile separately from the model ID served by that deployment.
- Attach renewable per-request credentials for expiring cloud tokens.
- Resolve structured-output modes from the selected profile and model.
- Choose between model-list routing, ordered failover, and adaptive operational routing.
- Route multimodal requests without flattening native images or files when the selected provider supports them.
- Use scripted transports for deterministic no-key examples.
- Use provider-api examples only when explicit provider credentials are available.
Package Facts
- Language: C++.
- Package:
axllm. - Package API docs:
API.mdandaxir-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
#include "axllm/axllm.hpp"
auto llm = axllm::ai("openai", { {"apiKey", std::getenv("OPENAI_API_KEY")} });
Decision evidence
Add (evidence) to boolean/class/score/box signature outputs to retain probabilities, values, provenance, and native class/score confidence through AxGen. Boolean threshold 0.7 is local to that field; scalar fields still use provider trueThreshold. A plain score returns a continuous zero-based rubric index.
Native selected classes and continuous scores are preserved, even when they differ from argmax or a weighted mean. Generative providers elicit probabilities, derive values locally, omit confidence, and use provenance.source=elicited. Ax attaches actual provider/model provenance. The result shape does not make confidence or calibration comparable across models.
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.
- today Changed edc0d61cccf4
- yesterday Changed a2db77fcb5b0
- 3d ago Changed · +6 lines aabe0d0b92e8
- 5d ago Changed · +3 lines 7c8fa02254d7
- 7d ago Changed · +10 lines 414a959888c6
- 10d ago Changed · +1 lines 1e818feb2901
- 11d ago Changed · +10 lines fa46789ed5a3
- 12d ago Changed · +1 lines 07f35041d800
- 18d ago Changed · +8 lines 8e6cac37110f
- 21d ago First seen · 154 lines · 47 tokens per session scan A 0ccc811873fe
ax-cpp-ai is a skill published in the GitHub repository ax-llm/ax (2,967 stars, last pushed today), licensed Apache-2.0. It adds 47 tokens to every session and 6,561 once invoked, about $0.0002 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.
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