A number of environment variables can be used to configure the behavior of the library. There are also functions to configure this behavior in code. The environment variables are convenient when troubleshooting problems.
Endpoint Overrides
GOOGLE_CLOUD_CPP_AUTOML_PREDICTION_SERVICE_ENDPOINT=... overrides the EndpointOption (which defaults to "automl.googleapis.com") used by MakePredictionServiceConnection().
GOOGLE_CLOUD_CPP_AUTO_ML_ENDPOINT=... overrides the EndpointOption (which defaults to "automl.googleapis.com") used by MakeAutoMlConnection().
GOOGLE_CLOUD_CPP_ENABLE_TRACING=rpc: turns on tracing for most gRPC calls. The library injects an additional Stub decorator that prints each gRPC request and response. Unless you have configured your own logging backend, you should also set GOOGLE_CLOUD_CPP_ENABLE_CLOG to produce any output on the program's console.
See Also
google::cloud::LoggingComponentsOptionGOOGLE_CLOUD_CPP_TRACING_OPTIONS=...: modifies the behavior of gRPC tracing, including whether messages will be output on multiple lines, or whether string/bytes fields will be truncated.
See Also
google::cloud::GrpcTracingOptionsOptionGOOGLE_CLOUD_CPP_ENABLE_CLOG=yes: turns on logging in the library, basically the library always "logs" but the logging infrastructure has no backend to actually print anything until the application sets a backend or they set this environment variable.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-05 UTC."],[[["This document provides reference information for different versions of the AutoML environment, ranging from version 2.11.0 up to the latest release candidate, 2.37.0-rc."],["The environment can be configured through various environment variables, offering flexibility for troubleshooting and customization of the library's behavior."],["Endpoint overrides for the prediction service and auto ml can be configured using `GOOGLE_CLOUD_CPP_AUTOML_PREDICTION_SERVICE_ENDPOINT` and `GOOGLE_CLOUD_CPP_AUTO_ML_ENDPOINT`, respectively."],["Tracing and logging for gRPC calls can be enabled using `GOOGLE_CLOUD_CPP_ENABLE_TRACING` and `GOOGLE_CLOUD_CPP_ENABLE_CLOG`, with additional options available through `GOOGLE_CLOUD_CPP_TRACING_OPTIONS`."]]],[]]
