Unit 2 · Make AI outputs predictable

Connect Ax to the right model

You configure the provider, current model, credentials, and runtime options in one place. Your program contract stays separate from that choice.

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Worked example

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auto client = axllm::ai("openai", axllm::object({{"apiKey", std::getenv("OPENAI_API_KEY")}}));

Choose the provider
name selects the provider adapter used by this client.
Read credentials from the host
The API key stays in the process environment instead of browser storage or source code.
Pick a current model
Model selection belongs in provider configuration, not in the program signature.

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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See the idea in context

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Source-backed follow-up