Pause and ask instead of guessingYou make the agent ask when a missing fact would change an action or result. Your host persists that pause, resumes safely, and keeps failures distinct from final output.cppacademyacademy/topics/agent-clarification-resumewebsite/content-src/academy/course.mjsacademyPause and ask instead of guessing
You make the agent ask when a missing fact would change an action or result. Your host persists that pause, resumes safely, and keeps failures distinct from final output.
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Unit example (nearest native match)
See the idea in context
auto helper = axllm::agent("question:string -> answer:string");
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/short-agents/tools_agent.cpp