ax

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output parsing.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output parsing.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for using the generated Ax package, factory functions, package docs, examples, and API reference.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for using the generated Ax package, factory functions, package docs, examples, and API reference.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for the playbook() context-engineering surface, agent-bound verified evolution, run-end learning, online updates, and rendering a playbook into a program.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for the playbook() context-engineering surface, agent-bound verified evolution, run-end learning, online updates, and rendering a playbook into a program.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for reward-scored generation, iterative candidate improvement, evaluator feedback, and optimizer-backed refinement patterns.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for string signatures, field descriptors, JSON schema output, validation, and typed tool argument shapes.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for string signatures, field descriptors, JSON schema output, validation, and typed tool argument shapes.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.

Use when writing Go code with `github.com/ax-llm/ax/packages/go` for Typesafe Jev boolean/class signatures, value descriptions, configurable Noul conversion, native Noul/Choice/Score, structured criteria and hybrid generation.

Use when adding or changing generated AxIR language backends in this repo, including target registration, codegen templates, package metadata, examples, conformance, and verification. This is a repo-maintainer skill and must not be emitted into generated Ax packages.

Use when writing Java code with `dev.axllm:ax` for agents, child delegation, tools, MCP, citations, persistent playbook learning, stage instructions, runtime state, final typed responses, and direct-respond executor skipping.

Use when writing Java code with `dev.axllm:ax` for agents, child delegation, tools, MCP, citations, persistent playbook learning, stage instructions, runtime state, final typed responses, and direct-respond executor skipping.

Use when writing Java code with `dev.axllm:ax` for deciding between context maps, trajectory context policy, offline optimization (ACE/GEPA), and memory recall for long-context agents.