ax-python-llm

ax-python-llm is a skill for Claude Code, Codex from ax-llm/ax. It costs 36 tokens per session (776 once invoked), scanned A, original, Apache-2.0.

A reference for writing Python programs with axllm, a package for connecting applications to language models and building generated Ax programs. It explains the package's Python APIs, examples, and supported capabilities.

In plain words
What is it for?
Use it to create Ax programs, configure language-model providers, use package entry points, and follow the available Python examples and documentation.
Why use it?
It reduces the risk of using the wrong language-specific API or relying on TypeScript examples when writing Python.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create Ax programs, configure language-model providers, use package entry points, and follow the available Python examples and documentation.

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Install with agentmods
npx agentmods add skills/ax-llm/ax/ax-python-llm
About the project

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.

ax-llm/ax · 2,967 stars · on GitHub · axllm.dev

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.

Any agent
npx skills add ax-llm/ax --skill ax-python-llm
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.

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README.md
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Your own site · 80×15
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Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 776 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00036 $0.00776
Opus 5.5 $0.00014 $0.00310
Sonnet 5.5 $0.00007 $0.00155
Haiku 4.5 $0.00004 $0.00078

Measured yesterday against content hash 57a620db7262, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ax-python-llm 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/python/skills/ax-python-llm/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ax LLM Quick Reference For Python

This skill helps an agent write Python 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

  • Start a generated-language Ax program from package docs or examples.
  • Translate the Ax mental model into the target package without TypeScript-only imports.
  • Choose the native package entrypoints for signatures, providers, generators, agents, flows, and optimizers.
  • Find ordered or adaptive provider-balancing guidance in the language-specific AI skill.

Package Facts

  • Language: Python.
  • 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

import os
from axllm import ai

llm = ai("openai", api_key=os.environ["OPENAI_API_KEY"])

Relevant API Surface

  • Signatures: s, f, AxSignature
  • AxGen: ax, AxGen, run_control, AxRunControl, Callable[[str, dict | None], dict | None], set_caching_function
  • AxAI: ai, openai_decisions, AxAIOpenAIDecisionsClient, typesafe, AxAITypesafeClient, AxCancellationToken, AxAIServiceAbortedError, get_supported_ai_models, dict[str, str], Callable[[dict[str, str]], dict[str, str]], AIClient.owned_worker_factory, AxChatSession, closable generator, OpenAICompatibleClient, OpenAIResponsesClient, GoogleGeminiClient, AnthropicClient, AxUsageContext, AxUsageEvent, AxUsageObserver, set_usage_observer, AxRuntimeHooks, AxRateLimitInfo, AxRateLimiter, AxTracer, AxMeter, AxGlobals, set_rate_limiter, set_tracer, set_meter, AxBalancer, AxBalancerAdaptiveStrategy, AxBalancerStatsStore, AxInMemoryBalancerStatsStore, create_balancer_route_stats, update_balancer_route_stats, sample_balancer_route_health, MultiServiceRouter, ProviderRouter
  • Agents And RLM: agent, AxAgent, AxAgent.add_child_agent, AxAgent.streaming_forward
  • Flow: flow, AxFlow, AxProgram.owned_worker_factory
  • Optimizers: optimize, playbook, AxPlaybook, AxBootstrapFewShot, AxGEPA, OptimizerEngine, OptimizerEvaluator

Read the full file on GitHub · 52 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 57a620db7262
  2. 3d ago Changed 1b38c2155393
  3. 5d ago Changed 91a236a8770b
  4. 8d ago Changed 9dc259aa9943
  5. 9d ago Changed 1a58979c1ffd
  6. 10d ago Changed 9696520ab94b
  7. 16d ago Changed acf935ce29bb
  8. 19d ago Changed b1ae6646581c
  9. 21d ago Changed 42fb8460ddd5
  10. 24d ago First seen · 52 lines · 36 tokens per session scan A 39c9f8576883

Subscribe to this mod's changes

ax-python-llm is a skill published in the GitHub repository ax-llm/ax (2,967 stars, last pushed 2d ago), licensed Apache-2.0. It adds 36 tokens to every session and 776 once invoked, about $0.0001 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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