Developer guide
This guide is designed to help you integrate the Elixir SDK quickly and start evaluating feature flags in your Elixir application.Getting started
Install the Elixir client
Add the SDK as a dependency in yourmix.exs file:
mix.exs
Additional configuration
Create aclient-elixir.json configuration file to provide credentials and customize SDK behavior.
We recommend saving this file to the default path, /etc/kameleoon/client-elixir.conf.
The Elixir SDK can be configured either with a configuration file used by config_path: or by passing a %Kameleoon.ClientConfig{} struct with the config: option.
The following table shows the available properties that you can set:
Initialize the Kameleoon client
After you have installed the SDK and configured your credentials, create a%Kameleoon.Client{} by using Kameleoon.ClientFactory.
- Config File
- Code
%Kameleoon.Client{} is the main object used to evaluate feature flags, add visitor data, and send tracking requests.
Activating a feature flag
Assigning a unique ID to a user
To assign a unique ID to a user, you can use theget_visitor_code method. If a visitor code doesn’t exist (from the request headers cookie), the method generates a random unique ID or uses a default_visitor_code that you would have generated. The ID is then set in a response headers cookie.
If you are using Kameleoon in Hybrid mode, calling the get_visitor_code method ensures that the unique ID (visitor code) is shared between the application file engine.js (previously named, kameleoon.js) and the SDK.
Retrieving a flag configuration
To implement a feature flag in your code, you must first create the feature flag in your Kameleoon account. To determine the status or variation of a feature flag for a specific user, you should use theget_variation or is_feature_active? method to retrieve the configuration based on the feature_key.
The get_variation method handles both simple feature flags with ON/OFF states and more complex flags with multiple variations. The method retrieves the appropriate variation for the user by checking the feature rules, assigning the variation, and returning it based on the feature_key and visitor_code.
The is_feature_active? method can be used if you want to retrieve the configuration of a simple feature flag that has only an ON or OFF state, as opposed to more complex feature flags with multiple variations or targeting options.
If your feature flag has associated variables (such as specific behaviors tied to each variation) get_variation also enables you to access the Variation object, which provides details about the assigned variation and its associated experiment. This method checks whether the user is targeted, finds the visitor’s assigned variation, and saves it to storage. When track=true, the SDK will send the exposure event to the specified experiment on the next tracking request, which is automatically triggered based on the SDK’s tracking_interval_millis. By default, this interval is set to 1000 milliseconds (1 second).
The get_variation method allows you to control whether tracking is done. If track=false, no exposure events will be sent by the SDK. This is useful if you prefer not to track data through the SDK and instead rely on client-side tracking managed by the Kameleoon engine, for example. Additionally, setting track=false is helpful when using the get_variations method, where you might only need the variations for all flags without triggering any tracking events. If you want to know more about how tracking works, view this article
Adding data points to target a user or filter / breakdown visits in reports
To target a user, ensure you’ve added relevant data points to their profile before retrieving the feature variation or checking if the flag is active. Use theClient.add_data method to add these data points to the user’s profile.
To retrieve data points collected on other devices or to access past user data (collected client-side when using Kameleoon in Hybrid mode), use the get_remote_visitor_data method. This method asynchronously fetches data from the servers. It is important to call get_remote_visitor_data before retrieving the variation or checking if the feature flag is active, as this data might be required to assign a user to a given variation.
To learn more about available targeting conditions, see the detailed article on the subject.
Additionally, the data points you add to the visitor profile will be available when analyzing your experiments, allowing you to filter and break down your results by factors like device and browser. Kameleoon Hybrid mode automatically collects a variety of data points on the client-side, making it easy to break down your results based on these pre-collected data points. See the complete list here.
If you need to track additional data points beyond what’s automatically collected, you can use Kameleoon’s Custom Data feature. Custom Data allows you to capture and analyze specific information relevant to your experiments. Don’t forget to call the flush method to send the collected data to Kameleoon servers for analysis.
To ensure your results are accurate, it’s recommended to filter out bots by using the
UserAgent data type.Tracking goal conversions
When a user completes a desired action (such as making a purchase), it is recorded as a conversion. To track conversions, use thetrack_conversion method and provide the required visitor_code and goal_id parameters.
The conversion tracking request will be sent along with the next scheduled tracking request, which the SDK sends at regular intervals (defined by tracking_interval_millis). If you prefer to send the request immediately, use the Client.flush_instant method.
Sending events to analytics solutions
To track conversions and send exposure events to your customer analytics solution, you must first implement Kameleoon in Hybrid mode. Then, use theget_engine_tracking_code method.
The get_engine_tracking_code method retrieves the unique tracking code required to send exposure events to your analytics solution. Using this method allows you to record events and send them to your desired analytics platform.
Using a custom bucketing key
By default, Kameleoon uses a unique, anonymous visitor ID (visitor_code) to assign users to feature flag variations. This ID is typically generated and stored on the user’s device (in a browser cookie for client-side and server-side SDKs—in persistent storage for mobile SDKs). However, in certain scenarios you may need to ensure all users of the same organization see the same variant of a feature flag.
The Custom Bucketing Key option allows you to override this default behavior by providing your own custom identifier for bucketing. This override ensures that Kameleoon’s assignment logic uses your specified key instead of the default visitor_code.
Use cases
Using a custom bucketing key is essential for maintaining consistency and accuracy in your feature flag assignments, particularly in these situations:- Account-level or organizational experiments: For B2B products or scenarios where you want to assign all users from the same organization to the same variation, you can use an identifier like an
account_id. Custom bucketing keys are crucial for A/B testing features that impact an entire team or company.
Technical details
When you configure a custom bucketing key for a feature flag, you provide Kameleoon with a specific identifier from your application’s data:- Providing the custom key: You provide your custom identifier to the Kameleoon SDK using the
Client.add_datamethod. In this method, you will pass your chosen custom bucketing key as aCustomDataobject. Here,new_visitor_coderefers to the identifier you wish to use for your bucketing (for example, the newuser_idoraccount_id).
- Bucketing logic: Once a custom bucketing key is provided through the
Client.add_datamethod, all hash calculations for assigning users to variations will use thisnew_visitor_code(your custom key) instead of the defaultvisitor_code. Using thenew_visitor_codemeans that the bucketing decision is tied to your custom identifier, ensuring consistent assignments across various contexts where that identifier is present. - Data tracking and analytics: It’s crucial to note that while the
new_visitor_code(your custom key) is used for bucketing decisions, all subsequent data (tracking events and conversions, for example) is sent and associated with the originalvisitor_code. This separation ensures that your analytics accurately reflect individual user journeys and interactions within your experiment’s broader context, even when bucketing is performed at a higher level (like an account) or across multiple devices/sessions. Your original visitor data remains intact for comprehensive reporting.
Technical requirements
To effectively use a custom bucketing key:- The key must be a
String.t(). - It must be unique for the entity you intend to bucket (for example, if using a
user_id, each user’s ID should be unique). - The key must be available to the SDK at the exact moment the feature flag decision is evaluated for that user or request.
Targeting conditions
The Kameleoon SDKs support a variety of predefined targeting conditions that you can use to target users in your campaigns. For the list of conditions this SDK supports, see use visit history to target users. You can also use your own external data to target users.Cross-device experimentation
To support visitors who access an app from multiple devices, Kameleoon allows the synchronization of previously collected visitor data across each of the visitor’s devices and reconciliation of their visit history across devices through cross-device experimentation. Case studies and detailed information on how Kameleoon handles data across devices are available in the article on cross-device experimentation.Synchronizing custom data across devices
Although custom mapping synchronization is used to align visitor data across devices, it is not always necessary. Below are two scenarios where custom mapping sync is not required: Same user ID across devices If the same user ID is used consistently across all devices, synchronization is handled automatically without a custom mapping sync. It is enough to call theget_remote_visitor_data method when you want to sync the data collected between multiple devices.
Multi-server instances with consistent IDs
In complex setups involving multiple servers (for example, distributed server instances), where the same user ID is available across servers, synchronization between servers (with get_remote_visitor_data) is sufficient without additional custom mapping sync.
Customers who need additional data can refer to the get_remote_visitor_data method description for further guidance. In the below code, it is assumed that the same unique identifier (in this case, the visitor_code, which can also be referred to as userId) is used consistently between the two devices for accurate data retrieval.
If you want to sync collected data in real time, you need to choose the scope Visitor for your custom data.
Device A
Device B
Using custom data for session merging
Cross-device experimentation allows for combining a visitor’s history across each of their devices (history reconciliation). History reconciliation allows merging different visitor sessions into one. To reconcile visit history, useCustomData to provide a unique identifier for the visitor. For more information, see the dedicated documentation.
After cross-device reconciliation is enabled, calling get_remote_visitor_data with the parameter userId retrieves all known data for a given user.
Sessions with the same identifier will always be shown the same variation in an experiment. In the Visitor view of your experiment’s results pages, these sessions will appear as a single visitor.
The SDK configuration ensures that associated sessions always see the same variation of the experiment. However, there are some limitations regarding cross-device variation allocation. These limitations are outlined here.
Follow the activating cross-device history reconciliation guide to set up your custom data on the Kameleoon platform.
Afterwards, you can use the SDK normally. The following methods that may be helpful in the context of session merging:
get_remote_visitor_datawith addedUniqueIdentifier(true)- to retrieve data for all linked visitors.track_conversionorflushwith addedUniqueIdentifier(true)data - to track some data for specific visitor that is associated with another visitor.
get_visitor_code method is used. After the user logs in, the anonymous visitor is associated with the user ID and used as a unique identifier for the visitor.
Logging
The SDK generates logs to reflect various internal processes and issues.Log levels
The SDK supports configuring limiting logging by a log level.Custom handling of logs
The SDK writes its logs to the console output by default. This behaviour can be overridden.Logging limiting by a log level is performed apart from the log handling logic.
Reference
This is the full reference documentation for the Elixir SDK.Initialization
create()
To use the SDK, create a%Kameleoon.Client{} from a %Kameleoon.ClientConfig{} instance with Kameleoon.ClientFactory.create().
- ClientConfig (config:)
- Config Path (config_path:)
Parameters
Return value
Errors
initialize()
Waits for the Kameleoon client to initialize, using either the configureddefault_timeout_millis or a provided timeout. This method ensures that the client is fully initialized before performing any further operations.
Parameters
Return value
Errors
is_ready()
Checks whether the client has been initialized.Return value
forget()
Removes the cached SDK client associated with the specifiedsite_code.
Parameters
Return value
Feature flags and variations
is_feature_active()
- 📨 Sends tracking data to Kameleoon (depending on the
trackoption)
Kameleoon uses tracking to count sessions and visitors when you call certain methods, such as
is_feature_active?, get_variation or get_variations.Use the default true value for the track parameter when you expose visitors to a variation and need to count them. Set the track parameter to false only if you call these methods before you expose visitors.For example, if you call get_variations to retrieve all variations before you expose visitors, set the track parameter to false. This setting prevents Kameleoon from prematurely counting a session. You can then trigger tracking later when you explicitly expose the visitor.Kameleoon sends tracking data every second by default. You can configure this interval up to five seconds using the tracking interval configuration option. Kameleoon groups tracking events into a single session as long as the interval between events is less than 30 minutes. If more than 30 minutes elapse between tracking events, Kameleoon counts the events as separate sessions. A visit appears in your reports 30 minutes after the last recorded event in the session.Parameters
Return value
Errors
get_variation()
- 📨 Sends Tracking Data to Kameleoon (depending on the
trackparameter)
Variation assigned to a given visitor for a specific feature flag.
This method takes a visitor_code and feature_key as mandatory arguments. The track argument is optional and defaults to true.
It returns the assigned Variation for the visitor. If the visitor is not associated with any feature flag rules, the method returns the default Variation for the given feature flag.
Ensure that proper error handling is implemented in your code to manage potential exceptions.
The default variation refers to the variation assigned to a visitor when they do not match any predefined delivery rules for a feature flag. In other words, it is the fallback variation applied to all users who are not targeted by specific rules. It’s represented as the variation in the “Then, for everyone else…” section in a management interface.
Parameters
Return value
Errors
get_variations()
- 📨 Sends Tracking Data to Kameleoon (depending on the
trackparameter)
Variation objects assigned to a given visitor across all feature flags.
This method iterates over all available feature flags and returns the assigned Variation for each flag associated with the specified visitor. It takes visitor_code as a mandatory argument, while only_active and track are optional.
- If
only_activeis set totrue, the methodget_variationswill return feature flags variations provided the user is not bucketed with theoffvariation. - The
trackparameter controls whether or not the method will track the variation assignments. By default, it is set totrue. If set tofalse, the tracking will be disabled.
Variation as values. If no variation is assigned for a feature flag, the method returns the default Variation for that flag.
Proper error handling should be implemented to manage potential exceptions.
The default variation refers to the variation assigned to a visitor when they do not match any predefined delivery rules for a feature flag. In other words, it is the fallback variation applied to all users who are not targeted by specific rules. It’s represented as the variation in the “Then, for everyone else…” section in a management interface.
Parameters
Return value
Errors
set_forced_variation()
The method allows you to programmatically assign a specificVariation to a user, bypassing the standard evaluation process. This is especially valuable for controlled experiments where the usual evaluation logic is not required or must be skipped. It can also be helpful in scenarios like debugging or custom testing.
When a forced variation is set, it overrides Kameleoon’s real-time evaluation logic. Processes like segmentation, targeting conditions, and algorithmic calculations are skipped. To preserve segmentation and targeting conditions during an experiment, set force_targeting=false instead.
Simulated variations always take precedence in the execution order. If a simulated variation calculation is triggered, it will be fully processed and completed first.
Parameters
Return value
Errors
evaluate_audiences()
- 📨 Sends Tracking Data to Kameleoon
evaluate_audiences should be called after all relevant visitor data has been set or updated, and just before getting a feature variation or checking a feature flag. This approach ensures that the visitor is evaluated against the most current data available, allowing for accurate audience assignment based on all criteria.
After calling this method, you can perform a detailed analysis of segment performance in Audiences Explorer.
Parameters
Return value
Errors
get_datafile()
Returns the current SDK configuration as aDataFile object.
Return value
Errors
Visitor data
get_visitor_code()
Useget_visitor_code() to obtain the current visitor’s Kameleoon visitor_code. The method works with any cookie store that implements the Kameleoon.CookieAccessor behaviour.
The implementation logic is as follows:
- The SDK checks whether a
kameleoonVisitorCodecookie is already available through the provided accessor. - If the cookie is absent, the SDK uses
default_visitor_codewhen you provide one. - Otherwise, the SDK generates a new visitor code and stores it through the accessor.
The
get_visitor_code method allows you to set simulated variations for a visitor. When cookies (from a request or document) contain the key kameleoonSimulationFFData, the standard evaluation process is bypassed. Instead, the method directly returns a Variation based on the provided data.You can apply simulations in two ways:- Automatically (recommended): If using Kameleoon Web Experimentation or the SDK in Hybrid mode, the cookie is created automatically when simulating a variant’s display using the Simulation Panel.
- Manually: Set the
kameleoonSimulationFFDatacookie manually.
- Simulated variations: Affect the overall feature flag result.
- Forced variations: Are specific to an individual experiment.
kameleoonSimulationFFData cookie follows this format:kameleoonSimulationFFData={"featureKey":{"expId":10,"varId":20}}: Simulates the variation withvarIdof experimentexpIdfor the givenfeatureKey.kameleoonSimulationFFData={"featureKey":{"expId":0}}: Simulates the default variation (defined in the Then, for everyone else in Production, serve section) for the givenfeatureKey.
encodeURIComponent.- Custom
- Plug.Conn
Parameters
Return value
add_data()
TheClient.add_data method adds targeting data to storage so other methods can use the data to decide whether or not to target the current visitor.
The Client.add_data method does not return any value and does not interact with Kameleoon back-end servers on its own. Instead, all the declared data is saved for future transmission using the flush method. This approach reduces the number of server calls made, as the data is typically grouped into a single server call that is triggered by the flush.
The track_conversion method also sends out any previously associated data, just like the flush. The same holds true for get_variation and get_variations methods if an experimentation rule is triggered.
Parameters
Return value
Errors
flush()
- 📨 Sends tracking data to Kameleoon
flush() method aggregates all Kameleoon data associated with a visitor and sends a tracking request to the server. This request includes any data previously added via the add_data method that has not yet been transmitted through other tracking mechanisms (see the referenced methods for details). The flush() operation is non-blocking, as the server call is performed asynchronously.
This method provides control over when data linked to a specific visitor_code is transmitted. For example, if add_data() is called multiple times, sending a request after each invocation would be inefficient. Instead, you can batch these updates and call flush() once to send all accumulated data in a single request.
The flush() method uses the provided visitor_code as the unique visitor identifier.
Parameters
Return value
Errors
get_remote_data()
Theget_remote_data() method lets you retrieve remote data stored on Kameleoon servers for the specified key. In most setups, this data is written through the Kameleoon Data API and can later be fetched by your Elixir service whenever you need additional application context.
This method is useful when you want to keep structured information on Kameleoon’s remote infrastructure and reuse it from your back-end without maintaining a separate retrieval mechanism.
Parameters
Return value
Errors
get_remote_visitor_data()
get_remote_visitor_data() retrieves Kameleoon visit data for the provided visitor_code. The method adds the data to local visitor storage so other SDK methods can use it for targeting decisions.
Data obtained using this method is especially useful when you want to:
- use data collected from other devices.
- access a visitor’s history, such as previously viewed pages from past visits.
- use data that is only available on the client side, such as datalayer variables and front-end goal conversions.
Parameters
Return value
Errors
Using parameters in get_remote_visitor_data()
Theget_remote_visitor_data() method lets you control which data is retrieved for a visitor. The same filtering approach works across goals, experiments, variations, and other visitor data.
For example, if you want to target users who converted on a goal during their last five visits, you can set previous_visit_amount to 5 and conversions to true.
The flexibility shown in this example is not limited to goal data. You can use the filter to retrieve many different visitor behaviors and make them available to targeting and reporting logic in your Elixir application.
RemoteVisitorDataFilter fields
get_visitor_warehouse_audience()
This method retrieves audience data associated with a visitor in your warehouse integration by using the specifiedvisitor_code and, optionally, a warehouse_key. The warehouse_key is typically your internal user ID. The custom_data_index parameter corresponds to the Kameleoon custom data that Kameleoon uses to target your visitors.
When the call succeeds, the SDK converts the returned audience list into CustomData, adds it to the visitor locally, and makes it available for targeting purposes. For more background, see the warehouse targeting documentation.
Parameters
Return value
Errors
set_legal_consent()
You must use this method to specify whether the visitor has given legal consent to use personal data. Settinglegal_consent to false limits the types of data that can be included in tracking requests. This helps you adhere to legal and regulatory requirements while responsibly managing visitor data. For more information, see the consent management policy.
The Elixir SDK updates visitor cookies through the required Kameleoon.CookieAccessor adapter and returns the updated adapter state.
Parameters
Return value
Errors
Consent revocation behavior
When you callset_legal_consent with legal_consent=false, the SDK does not delete the kameleoonVisitorCode cookie. Instead, it stops extending the cookie’s expiration date, allowing the cookie to persist until it naturally expires.
If your compliance requirements demand the immediate removal of the cookie file upon opt-out, you must delete it manually using your framework’s native cookie management methods. The SDK will not remove the file automatically.
Goals and third-party analytics
track_conversion()
- 📨 Sends Tracking Data to Kameleoon
visitor_code and goal_id. In addition, this method also accepts an optional revenue, negative and metadata arguments. The visitor_code is usually identical to the one that was used when triggering the experiment.
Parameters
metadata values are accessible through raw data exports and the results page.If the
metadata parameter is provided, Kameleoon will use these specified values for the current conversion instead of what was previously collected using the Client.add_data method. If the parameter is omitted, Kameleoon will use the last tracked values for those CustomData prior to the conversion and within the same visit.Kameleoon will only consider the metadata values that are explicitly passed as parameters to the track_conversion method.In the example below, Kameleoon will associate the conversion only with the custom data value explicitly provided as a parameter (here: index 5 with the value ‘Amex Credit Card’).Return value
Errors
get_engine_tracking_code()
Kameleoon integrates with several analytics solutions, including Mixpanel, Google Analytics 4, and Segment. To track server-side experiments correctly, call theget_engine_tracking_code method after the visitor triggers an experiment. The SDK returns JavaScript queue commands for the experiments that the visitor triggered during the previous five seconds. When you insert this code into the page, Engine.js processes the commands and sends the exposure events through the active analytics integration.
Refer to hybrid experimentation for more information on implementing this method.
- To use this feature, implement both the Elixir SDK and Kameleoon Engine.js. Because Engine.js is used only for tracking in this flow, you can install the asynchronous tag before the closing
</body>tag. - If you only want to track experiments in Kameleoon and do not need to send exposure events to third-party analytics tools, use the JavaScript / TypeScript SDK. This option works well for serverless edge compute platforms. The JavaScript / TypeScript SDK automatically tracks variations when you call
getVisitorCode, as long as you add the corresponding experiment assignments towindow.kameleoonQueue. - You can insert the returned tracking code directly into an HTML
<script>tag.
123456 and 234567 are experiment IDs, and 7890 and 8901 are variation IDs. In your implementation, the SDK generates these values in the returned tracking code.Parameters
Return value
Errors
Events
on_datafile_update()
Theon_datafile_update method allows you to handle the event when configuration has updated data. It takes one input parameter, handler. The handler that will be called when the configuration is updated using a real-time configuration event.
Parameters
Data types
This section lists the Elixir data types available underKameleoon.Data.
ApplicationVersion
ApplicationVersion represents the semantic version number of your application.
Browser
TheBrowser data set stored here can be used to filter experiment and personalization reports by any value associated with it.
Conversion
TheConversion data set stored here can be used to filter experiment and personalization reports by any goal associated with it.
Cookie
Cookie contains information about the cookies stored on the visitor’s device.
CustomData
CustomData enables the association of any type of data with each visitor, making it an effective tool for targeting conditions in segments. Additionally, it can be used as a filter or breakdown in experiment reports. For more information about custom data, please refer to this article.
Define custom data types in the Kameleoon app or the Data API and use them from the SDK.
-
Each visitor is allowed only one
CustomDatafor each uniqueindex(name). Adding anotherCustomDatawith the sameindex(name) will replace the existing one. - The custom data ‘index’ can be found in the Custom Data dashboard under the “INDEX” column.
- To prevent the SDK from sending data with the selected index to Kameleoon servers for privacy reasons, enable the option: Use this data only locally for targeting purposes when creating custom data.
-
Adding a
CustomDatainstance created with a name when the SDK instance is not initialized or the name is not registered, will result in the data being ignored.
Device
You can use device data to filter experiment and personalization reports by any associated value.Geolocation
Geolocation contains the visitor’s geolocation details.
OperatingSystem
OperatingSystem contains information about the operating system on the visitor’s device.
PageView
Store page view events.The referrer index is available in the Kameleoon app on the acquisition channel configuration page. Be careful: the index starts at
0, so the first acquisition channel you create has the ID 0, not 1.UniqueIdentifier
If you do not addUniqueIdentifier for a visitor, visitor_code is used as the unique visitor identifier, which is useful for cross-device experimentation. When you add UniqueIdentifier.new!(true), the SDK links flushed data with the visitor associated with the specified identifier.
This can be useful in situations where you cannot access the anonymous visitor_code originally assigned to a visitor, but you do have access to an internal identifier connected to that visitor through session merging.
UserAgent
Server-side experiments are more likely to be affected by bot traffic than client-side experiments. Kameleoon uses the IAB/ABC International Spiders and Bots List to recognize known bots and spiders, and it also uses theUserAgent field to filter out other unwanted traffic that might distort your conversion metrics. For more information, see the help article on bot filtering.
If you use internal bots, we recommend sending the user-agent value curl/8.0 to exclude them from analytics.
Returned types
DataFile
TheDataFile contains the SDK configuration details.
It can be extended with additional information if required by clients. If you need more details, please contact your Customer Success Manager.
FeatureFlag
TheFeatureFlag represents a set of properties that define a feature flag itself — for example, its Variations, Rules, environment status, and other related details.
It can be extended with additional information if required by clients. If you need more details, please contact your Customer Success Manager.
Rule
TheRule represents a set of properties that define a rule itself — for example, its Variations.
It can be extended with additional information if required by clients. If you need more details, please contact your Customer Success Manager.
Variation
Variation contains information about the visitor’s assigned variation, or the default variation when no specific assignment exists.
Variationdescribes the assigned or default variation, whileVariablecontains the details of each individual variable.idandexperiment_idcan benil, which indicates a default variation that is not tied to a specific experiment assignment.
Variable
Variable contains information about a variable associated with the assigned variation.