What is ax-python-agent-context?

A Python coding guide for the axllm package that helps choose how an agent handles context, long-running task history, optimization, and memory recall. It distinguishes temporary run context from persistent information and optimization work.

Use it when building Python agents, choosing between context maps and policies, optimizing prompts or programs, or recalling information for long-context tasks.

It helps developers select the appropriate axllm feature instead of mixing different ways of managing an agent's information.

ax-python-agent-context — Skill by ax-llm

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-python-agent-context

Any agent

npx skills add ax-llm/ax --skill ax-python-agent-context

Clone the repo

git clone --depth 1 https://github.com/ax-llm/ax

Made for: Claude Code, Codex.

Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 473 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin 80% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5	$0.00042	$0.00473
Opus 5	$0.00021	$0.00236
Sonnet 5	$0.00008	$0.00095
Haiku 4.5	$0.00004	$0.00047

Measured today against content hash 585a55e6afbb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ax-python-agent-context 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.

Origin

This is a copy

80% identical to ax-cpp-refine — 29 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

packages/python/skills/ax-python-agent-context/SKILL.md · 48 lines

What it actually says

AxAgent Context Selection 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

Choose between contextMap, contextPolicy, optimization, and recall for a task.
Avoid mixing persistent corpus orientation with within-run compaction.
Route long-context agent work to the right generated-package feature.

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

from axllm import agent

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

Relevant API Surface

Agents And RLM: agent, AxAgent
Runtime Profiles: ProcessCodeRuntime, RuntimeCapabilities, RuntimeEnvelope, javascript-quickjs, python-pyodide
Optimizers: optimize, playbook, AxPlaybook, AxBootstrapFewShot, AxGEPA, OptimizerEngine, OptimizerEvaluator

Guardrails

Start from package examples for exact native syntax before inventing a new call shape.
Use provider-api examples only when the user explicitly has provider credentials available.
Use no-key examples for deterministic local checks and provider request mapping.
Treat AxIR as the source of generated package truth: if package docs disagree with source code, update the compiler and regenerate packages.
Do not copy repo-maintainer skills from tools/*/skills/ into user packages.

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.

today Changed 585a55e6afbb
2d ago First seen · 48 lines · 42 tokens per session scan A 8af0755462ec

Subscribe to this mod's changes

ax-python-agent-context is a skill published in the GitHub repository ax-llm/ax (2,890 stars, last pushed yesterday), licensed Apache-2.0. It adds 42 tokens to every session and 473 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to ax-cpp-refine, differing in 29 lines, and is treated as a copy.

LLM Languages Memory and context Writing and docs ai cohere javascript openai typescript

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Format all code in the repository. Run before opening a PR or committing changes.

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ax-python-agent-context