AxFlow For Python
Use when writing Python code with axllm for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.
Install
Install only this skill for Python:
npx skills add https://ax-llm.github.io/ax/python/ --skill 'ax-python-flow'Published skill file: ax-python-flow/SKILL.md.
Source
- Source: packages/python/skills/ax-python-flow/SKILL.md
- Version:
22.0.3
Skill Instructions
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
- Compose generators, agents, and nested flows into a workflow graph.
- Reason about flow state, node inputs, returns, caching, and errors.
- Use generated package examples for flow graphs and provider-backed flows.
Package Facts
- Language: Python.
- 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
from axllm import flow
wf = flow()
# See examples/axflow_program_graph.py for node wiring.Relevant API Surface
- Flow:
flow,AxFlow
Guardrails
- Start from package examples for exact native syntax before inventing a new call shape.
- Use
provider-apiexamples only when the user explicitly has provider credentials available. - Use
no-keyexamples 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.