Examples

Every C++ example here is runnable source under src/examples/cpp/ 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

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

Agents

• C++ 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 -- cpp src/examples/cpp/short-agents/basic_agent.cpp.
• C++ 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 -- cpp src/examples/cpp/short-agents/tools_agent.cpp.
• C++ 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 -- cpp src/examples/cpp/short-agents/handoff_agent.cpp.
• C++ 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 -- cpp src/examples/cpp/short-agents/model_panel.cpp.

Long-Horizon Agents

• C++ 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 -- cpp src/examples/cpp/long-agents/incident_log_forensics.cpp.
• C++ 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 -- cpp src/examples/cpp/long-agents/codebase_peek_map.cpp.
• C++ 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 -- cpp src/examples/cpp/long-agents/data_analyst_with_tools.cpp.
• C++ 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 -- cpp src/examples/cpp/long-agents/self_improving_lab.cpp.
• C++ 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 -- cpp src/examples/cpp/long-agents/skills_and_memory_assistant.cpp.

Flows

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

Audio

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

Optimization

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

Source

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

Pages

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