Examples

Every Go example here is runnable source under src/examples/go/ and calls a real provider API. The website and npm run example -- list are generated from each file’s ax-example header.

Groups

• Generation - 3 examples.
• Agents - 4 examples.
• Long-Horizon Agents - 5 examples.
• Flows - 3 examples.
• Audio - 3 examples.
• Optimization - 3 examples.

Generation

• Go Typed Generation - Runs a small typed generation program against OpenAI. Run: npm run example -- go src/examples/go/generation/basic_generation.go.
• Go Structured Extraction - Extracts structured fields and labels from support text with OpenAI. Run: npm run example -- go src/examples/go/generation/structured_generation.go.
• Go Contextual Generation - Answers from supplied context and returns compact citations with OpenAI. Run: npm run example -- go src/examples/go/generation/context_generation.go.

Agents

• Go Grounded Support Agent - Answers a support question grounded in a handbook that is kept out of the model prompt via contextFields. Run: npm run example -- go src/examples/go/short-agents/basic_agent.go.
• Go Incident Triage Agent - Triages a noisy incident report held in contextFields, using a lean contextPolicy to keep the raw log out of the prompt while it reasons. Run: npm run example -- go src/examples/go/short-agents/tools_agent.go.
• Go Specialist Planner Agent - A specialist that plans a migration from a long brief held in contextFields, using a checkpointed contextPolicy and a runtime-output cap to stay compact. Run: npm run example -- go src/examples/go/short-agents/handoff_agent.go.
• Go Multi-Model Panel - Fans one question across three providers (OpenAI, Gemini, Anthropic), then judges the candidates and synthesizes a single grounded answer. Run: npm run example -- go src/examples/go/short-agents/model_panel.go.

Long-Horizon Agents

• Go Incident Log Forensics (RLM) - Infers service architecture and root-cause findings from a huge CloudWatch export that never enters the prompt – held in contextFields and worked through the runtime under a lean contextPolicy. Run: npm run example -- go src/examples/go/long-agents/incident_log_forensics.go.
• Go Codebase Q&A with a Peek Context Map - Answers several dependency questions over one large module index by building and reusing an evolving context map (the “peek” orientation cache), so later questions skip re-scanning the corpus. Run: npm run example -- go src/examples/go/long-agents/codebase_peek_map.go.
• Go Data Analyst (Large Context + Tools) - Combines a large data dictionary held in contextFields with typed warehouse tools, so the agent answers business questions over a big dataset it never has to inline. Run: npm run example -- go src/examples/go/long-agents/data_analyst_with_tools.go.
• Go Self-Improving Lab Agent - A many-tool agent that runs experiments, grades them against a rubric with an independent verifier, and distills verified rules into memory – iterating until the rubric passes. Run: npm run example -- go src/examples/go/long-agents/self_improving_lab.go.
• Go Skills + Memory Ops Assistant - An on-call assistant that recalls past decisions from a memory store and loads the right runbook skill on demand, using the agent skills and memories subsystems. Run: npm run example -- go src/examples/go/long-agents/skills_and_memory_assistant.go.

Flows

• Go Sequential Flow - Runs a two-step Ax flow against OpenAI. Run: npm run example -- go src/examples/go/flows/sequential_flow.go.
• Go Branching Flow - Routes a classification through follow-up flow logic backed by OpenAI. Run: npm run example -- go src/examples/go/flows/branch_flow.go.
• Go Composed Flow - Composes multiple typed programs into one OpenAI-backed flow. Run: npm run example -- go src/examples/go/flows/composed_flow.go.

Audio

• Go Text To Speech - Generates speech audio through OpenAI. Run: npm run example -- go src/examples/go/audio/speech_audio.go.
• Go Speech To Text - Transcribes a checked-in WAV file through OpenAI. Run: npm run example -- go src/examples/go/audio/transcribe_audio.go.
• Go Audio Summary Pipeline - Transcribes audio and summarizes the transcript with an OpenAI-backed generator. Run: npm run example -- go src/examples/go/audio/pipeline_audio.go.

Optimization

• Go AxGen Optimization - Runs a baseline OpenAI prediction and applies an optimizer artifact. Run: npm run example -- go src/examples/go/optimization/axgen_optimization.go.
• Go GEPA Optimization - Pairs a real OpenAI baseline with a local GEPA optimization pass. Run: npm run example -- go src/examples/go/optimization/gepa_optimization.go.
• Go Optimization Artifact Reuse - Saves and reapplies an optimizer artifact after a real OpenAI baseline. Run: npm run example -- go src/examples/go/optimization/artifact_optimization.go.

Source

• Catalog: npm run example -- list --json from scripts/example-catalog.mjs
• Files: src/examples/go/

Pages

• Generation Generation — Go examples backed by real provider calls.
• Agents Agents — Go examples backed by real provider calls.
• Long-Horizon Agents Long-Horizon Agents — Go examples backed by real provider calls.
• Flows Flows — Go examples backed by real provider calls.
• Audio Audio — Go examples backed by real provider calls.
• Optimization Optimization — Go examples backed by real provider calls.