| name | ax-java-flow |
| description | Use when writing Java code with `dev.axllm:ax` for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components. |
| version | 23.0.14 |
AxFlow For Java
This skill helps an agent write Java code with the generated Ax package dev.axllm:ax. 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: Java.
- Package:
dev.axllm:ax.
- 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
AxGen draft = Ax.ax("topicText:string -> draftText:string");
AxFlow wf = Ax.flow(java.util.Map.of("id", "docs.coreFlow"))
.execute("draft", draft, java.util.Map.of(
"reads", java.util.List.of("topicText"),
"writes", java.util.List.of("draftResult", "draftText")))
.returns(java.util.Map.of("draftText", "draftText"));
More Patterns
Typed programs
Build each flow node from its own input/output contract.
AxGen classifier = Ax.ax("requestText:string -> route:class \"support, sales, engineering\"");
AxGen responder = Ax.ax("requestText:string, route:string -> responseText:string");
Class decision
Declare reads and writes so the responder waits for the typed route.
AxFlow branchFlow = Ax.flow(Map.of("id", "docs.branchFlow"))
.execute("classifier", classifier, Map.of("reads", List.of("requestText"), "writes", List.of("classifierResult", "route")))
.execute("responder", responder, Map.of("reads", List.of("requestText", "route"), "writes", List.of("responderResult", "responseText")))
.returns(Map.of("route", "route", "responseText", "responseText"));
Parallel fan-out and join
Independent reads let research and audience analysis share one planner group.
AxFlow parallelFlow = Ax.flow(Map.of("id", "docs.parallelFlow"))
.execute("research", research, Map.of("reads", List.of("topicText"), "writes", List.of("researchResult", "factList")))
.execute("audience", audience, Map.of("reads", List.of("topicText"), "writes", List.of("audienceResult", "audienceAngle")))
.execute("join", join, Map.of("reads", List.of("factList", "audienceAngle"), "writes", List.of("joinResult", "briefText")))
.returns(Map.of("briefText", "briefText"));
Draft, critique, revise
A linear refinement pipeline makes each dependency explicit.
AxFlow refineFlow = Ax.flow(Map.of("id", "docs.refineFlow"))
.execute("draft", draft, Map.of("reads", List.of("topicText"), "writes", List.of("draftResult", "draftText")))
.execute("critique", critique, Map.of("reads", List.of("draftText"), "writes", List.of("critiqueResult", "critiqueText")))
.execute("revise", revise, Map.of("reads", List.of("draftText", "critiqueText"), "writes", List.of("reviseResult", "revisedText")))
.returns(Map.of("revisedText", "revisedText"));
Run a flow
Forward accepts the provider client and the public flow inputs.
var output = parallelFlow.forward(client, Map.of("topicText", "Typed LLM workflows"));
Start from the complete programs under examples/, then browse the larger gallery at https://axllm.dev/java/subsystems/flow/.
Relevant API Surface
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.