Turn a prompt into a reliable program You describe what goes in and what must come out, so your app stops parsing model prose. Ax turns that contract into the prompt and validation loop. cpp academy academy/topics/programs-not-prompts website/content-src/academy/course.mjs academy Turn a prompt into a reliable program
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Unit 1 · Build AI features you can measure

Turn a prompt into a reliable program

You describe what goes in and what must come out, so your app stops parsing model prose. Ax turns that contract into the prompt and validation loop.

ax()6 focused minutesNot started
Unit example (nearest native match)

See the idea in context

auto qa = axllm::ax("question:string -> answer:string, confidence:number");
  1. Name the input

    review is the value your application supplies.

  2. Constrain the output

    sentiment can only be one of the three declared classes.

  3. Keep the contract reusable

    The same program can be tested, traced, and improved without changing its call site.

Run itIn your own project
include(FetchContent)
FetchContent_Declare(axllm GIT_REPOSITORY https://github.com/ax-llm/ax GIT_TAG main SOURCE_SUBDIR packages/cpp)
FetchContent_MakeAvailable(axllm)
target_link_libraries(your_app PRIVATE axllm::axllm)

#include <axllm/axllm.hpp>

auto llm = axllm::ai("openai", axllm::object({{"apiKey", std::getenv("OPENAI_API_KEY")}}));
auto classify = axllm::ax("review:string -> sentiment:class \"positive, negative, neutral\"");

Set OPENAI_APIKEY in your environment before running provider-backed code.

In the ax repo

From a clone of the ax repo:

npm run example -- cpp src/examples/cpp/generation/structured_generation.cpp
Active practice

Show that you can use it

Answer 2 in a row to learn this · attempt 1
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Source-backed follow-up