launchdarkly/js-client-sdk 2.0.0 on GitHub

[2.0.0] - 2018-05-25

To reduce the network bandwidth used for analytics events, feature request events are now sent as counters rather than individual events, and user details are now sent only at intervals rather than in each event. These behaviors can be modified through the LaunchDarkly UI and with the new configuration option inlineUsersInEvents. For more details, see Analytics Data Stream Reference.
In every function that takes an optional callback parameter, if you provide a callback, the function will not return a promise; a promise will be returned only if you omit the callback. Previously, it would always return a promise which would be resolved/rejected at the same time that the callback (if any) was called; this caused problems if you had not registered an error handler for the promise.
When sending analytics events, if there is a connection error or an HTTP 5xx response, the client will try to send the events again one more time after a one-second delay.
Analytics are now sent with an HTTP POST request if the browser supports CORS, or via image loading if it does not. Previously, they were always sent via image loading.

The new configuration option sendEventsOnlyForVariation, if set to true, causes analytics events for feature flags to be sent only when you call variation. Otherwise, the default behavior is to also send events when you call allFlags, and whenever a changed flag value is detected in streaming mode.
The new configuration option allowFrequentDuplicateEvents, if set to true, turns off throttling for feature flag events. Otherwise, the default behavior is to block the sending of an analytics event if another event with the same flag key, flag value, and user key was generated within the last five minutes.

If identify is called with a null user, or a user with no key, the function no longer tries to do an HTTP request to the server (which would always fail); instead, it just returns an error.

The configuration options all_attributes_private and private_attribute_names are deprecated. Use allAttributesPrivate and privateAttributeNames instead.