@launchdarkly/mcp-server
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The local [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server for [LaunchDarkly](https://launchdarkly.com/) federal and European Union (EU) environments.
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JavaScript
;
/*
* Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.
*/
Object.defineProperty(exports, "__esModule", { value: true });
exports.Experiments = void 0;
const experimentsCreate_js_1 = require("../funcs/experimentsCreate.js");
const experimentsCreateIteration_js_1 = require("../funcs/experimentsCreateIteration.js");
const experimentsGet_js_1 = require("../funcs/experimentsGet.js");
const experimentsGetExperimentsAnyEnv_js_1 = require("../funcs/experimentsGetExperimentsAnyEnv.js");
const experimentsList_js_1 = require("../funcs/experimentsList.js");
const experimentsPatch_js_1 = require("../funcs/experimentsPatch.js");
const sdks_js_1 = require("../lib/sdks.js");
const fp_js_1 = require("../types/fp.js");
class Experiments extends sdks_js_1.ClientSDK {
/**
* Get experiments
*
* @remarks
* Get details about all experiments in an environment.
*
* ### Filtering experiments
*
* LaunchDarkly supports the `filter` query param for filtering, with the following fields:
*
* - `flagKey` filters for only experiments that use the flag with the given key.
* - `metricKey` filters for only experiments that use the metric with the given key.
* - `status` filters for only experiments with an iteration with the given status. An iteration can have the status `not_started`, `running` or `stopped`.
*
* For example, `filter=flagKey:my-flag,status:running,metricKey:page-load-ms` filters for experiments for the given flag key and the given metric key which have a currently running iteration.
*
* ### Expanding the experiments response
*
* LaunchDarkly supports five fields for expanding the "Get experiments" response. By default, these fields are **not** included in the response.
*
* To expand the response, append the `expand` query parameter and add a comma-separated list with any of the following fields:
*
* - `previousIterations` includes all iterations prior to the current iteration. By default only the current iteration is included in the response.
* - `draftIteration` includes the iteration which has not been started yet, if any.
* - `secondaryMetrics` includes secondary metrics. By default only the primary metric is included in the response.
* - `treatments` includes all treatment and parameter details. By default treatment data is not included in the response.
* - `analysisConfig` includes the analysis configuration for the experiment, such as the Bayesian threshold or significance threshold.
*
* For example, `expand=draftIteration,treatments` includes the `draftIteration` and `treatments` fields in the response. If fields that you request with the `expand` query parameter are empty, they are not included in the response.
*/
async list(request, options) {
return (0, fp_js_1.unwrapAsync)((0, experimentsList_js_1.experimentsList)(this, request, options));
}
/**
* Create experiment
*
* @remarks
* Create an experiment.
*
* To run this experiment, you'll need to [create an iteration](https://launchdarkly.com/docs/api/experiments/create-iteration) and then [update the experiment](https://launchdarkly.com/docs/api/experiments/patch-experiment) with the `startIteration` instruction.
*
* ### Experiment types
*
* Use the `type` field to specify the experiment type: `experiment` (default), `mab` (multi-armed bandit), or `holdout`.
*
* For multi-armed bandit experiments, set `reallocationFrequencyMillis` on the iteration to control how often traffic is reallocated across variations.
*
* ### Results analysis
*
* Use the `methodology` field to specify the results analysis approach: `frequentist` (default) or `bayesian`. Multi-armed bandit experiments support only `bayesian`, which is their default.
*
* Use the `dataSource` field to specify the source of metric data: `launchdarkly` (default), `snowflake`, or `databricks`.
*
* Use the `analysisConfig` field to customize analysis settings such as the Bayesian threshold, significance threshold, or multiple comparison correction method.
*
* To learn more, read [Creating experiments](https://launchdarkly.com/docs/home/experimentation/create).
*/
async create(request, options) {
return (0, fp_js_1.unwrapAsync)((0, experimentsCreate_js_1.experimentsCreate)(this, request, options));
}
/**
* Get experiment
*
* @remarks
* Get details about an experiment.
*
* ### Expanding the experiment response
*
* LaunchDarkly supports five fields for expanding the "Get experiment" response. By default, these fields are **not** included in the response.
*
* To expand the response, append the `expand` query parameter and add a comma-separated list with any of the following fields:
*
* - `previousIterations` includes all iterations prior to the current iteration. By default only the current iteration is included in the response.
* - `draftIteration` includes the iteration which has not been started yet, if any.
* - `secondaryMetrics` includes secondary metrics. By default only the primary metric is included in the response.
* - `treatments` includes all treatment and parameter details. By default treatment data is not included in the response.
* - `analysisConfig` includes the analysis configuration for the experiment, such as the Bayesian threshold or significance threshold.
*
* For example, `expand=draftIteration,treatments` includes the `draftIteration` and `treatments` fields in the response. If fields that you request with the `expand` query parameter are empty, they are not included in the response.
*/
async get(request, options) {
return (0, fp_js_1.unwrapAsync)((0, experimentsGet_js_1.experimentsGet)(this, request, options));
}
/**
* Patch experiment
*
* @remarks
* Update an experiment. Updating an experiment uses the semantic patch format.
*
* To make a semantic patch request, you must append `domain-model=launchdarkly.semanticpatch` to your `Content-Type` header. To learn more, read [Updates using semantic patch](https://launchdarkly.com/docs/api#updates-using-semantic-patch).
*
* ### Instructions
*
* Semantic patch requests support the following `kind` instructions for updating experiments.
*
* #### updateName
*
* > **Deprecated**: `updateName` will be removed in a future version. Use `updateExperimentFields` instead.
*
* Updates the experiment name.
*
* ##### Parameters
*
* - `value`: The new name.
*
* Here's an example:
*
* ```json
* {
* "instructions": [{
* "kind": "updateName",
* "value": "Example updated experiment name"
* }]
* }
* ```
*
* #### updateDescription
*
* > **Deprecated**: `updateDescription` will be removed in a future version. Use `updateExperimentFields` instead.
*
* Updates the experiment description.
*
* ##### Parameters
*
* - `value`: The new description.
*
* Here's an example:
*
* ```json
* {
* "instructions": [{
* "kind": "updateDescription",
* "value": "Example updated description"
* }]
* }
* ```
*
* #### updateExperimentFields
*
* Updates one or more fields on an experiment or its current iteration. Each field update specifies an operation (`add`, `update`, or `remove`) and an optional value.
*
* Which fields are mutable depends on the current iteration status. To discover which fields and operations are allowed, expand `mutableFieldsByStatus` on the [Get experiment](https://launchdarkly.com/docs/api/experiments/get-experiment) response.
*
* ##### Parameters
*
* - `value`: An object mapping field names to field updates. Each field update has the following properties:
* - `operation`: The operation to perform. One of `add`, `update`, or `remove`.
* - `value`: The new value for the field. Required for `add` and `update` operations.
*
* To find which fields are supported and which operations are allowed for each iteration status, expand `mutableFieldsByStatus` on the [Get experiment](https://launchdarkly.com/docs/api/experiments/get-experiment) response.
*
* Here's an example:
*
* ```json
* {
* "instructions": [{
* "kind": "updateExperimentFields",
* "value": {
* "name": {
* "operation": "update",
* "value": "Updated experiment name"
* },
* "tags": {
* "operation": "add",
* "value": ["tag1", "tag2"]
* }
* }
* }]
* }
* ```
*
* #### saveAndStartNewIteration
*
* Stops the current running iteration, creates a new iteration from it, optionally applies field updates, and starts the new iteration. This is a convenience instruction that combines stopping, updating, and starting in a single operation.
*
* ##### Parameters
*
* - `changeJustification`: (Optional) The reason for stopping and starting a new iteration.
* - `value`: (Optional) An object mapping field names to field updates, using the same format as `updateExperimentFields`. These updates are applied to the new iteration before it is started.
*
* Here's an example:
*
* ```json
* {
* "instructions": [{
* "kind": "saveAndStartNewIteration",
* "changeJustification": "Adjusting hypothesis based on early results",
* "value": {
* "hypothesis": {
* "operation": "update",
* "value": "Updated hypothesis text"
* }
* }
* }]
* }
* ```
*
* #### startIteration
*
* Starts a new iteration for this experiment. You must [create a new iteration](https://launchdarkly.com/docs/api/experiments/create-iteration) before calling this instruction.
*
* An iteration may not be started until it meets the following criteria:
*
* * Its associated flag is toggled on and is not archived
* * Its `randomizationUnit` is set
* * At least one of its `treatments` has a non-zero `allocationPercent`
*
* ##### Parameters
*
* - `changeJustification`: The reason for starting a new iteration. Required when you call `startIteration` on an already running experiment, otherwise optional.
*
* Here's an example:
*
* ```json
* {
* "instructions": [{
* "kind": "startIteration",
* "changeJustification": "It's time to start a new iteration"
* }]
* }
* ```
*
* #### stopIteration
*
* Stops the current iteration for this experiment.
*
* ##### Parameters
*
* - `winningTreatmentId`: The ID of the winning treatment. Treatment IDs are returned as part of the [Get experiment](https://launchdarkly.com/docs/api/experiments/get-experiment) response. They are the `_id` of each element in the `treatments` array.
* - `winningReason`: The reason for the winner
*
* Here's an example:
*
* ```json
* {
* "instructions": [{
* "kind": "stopIteration",
* "winningTreatmentId": "3a548ec2-72ac-4e59-8518-5c24f5609ccf",
* "winningReason": "Example reason to stop the iteration"
* }]
* }
* ```
*
* #### archiveExperiment
*
* Archives this experiment. Archived experiments are hidden by default in the LaunchDarkly user interface. You cannot start new iterations for archived experiments.
*
* Here's an example:
*
* ```json
* {
* "instructions": [{ "kind": "archiveExperiment" }]
* }
* ```
*
* #### restoreExperiment
*
* Restores an archived experiment. After restoring an experiment, you can start new iterations for it again.
*
* Here's an example:
*
* ```json
* {
* "instructions": [{ "kind": "restoreExperiment" }]
* }
* ```
*/
async patch(request, options) {
return (0, fp_js_1.unwrapAsync)((0, experimentsPatch_js_1.experimentsPatch)(this, request, options));
}
/**
* Create iteration
*
* @remarks
* > **Deprecated**: This endpoint will be removed in a future version. Use the `updateExperimentFields` and `saveAndStartNewIteration` instructions on [Update experiment](https://launchdarkly.com/docs/api/experiments/patch-experiment) instead.
*
* Create an experiment iteration.
*
* Experiment iterations let you record experiments in individual blocks of time. Initially, iterations are created with a status of `not_started` and appear in the `draftIteration` field of an experiment. To start or stop an iteration, [update the experiment](https://launchdarkly.com/docs/api/experiments/patch-experiment) with the `startIteration` or `stopIteration` instruction.
*
* To learn more, read [Start experiment iterations](https://launchdarkly.com/docs/home/experimentation/create#start-an-experiment-iteration).
*
* @deprecated method: This will be removed in a future release, please migrate away from it as soon as possible.
*/
async createIteration(request, options) {
return (0, fp_js_1.unwrapAsync)((0, experimentsCreateIteration_js_1.experimentsCreateIteration)(this, request, options));
}
/**
* Get experiments any environment
*
* @remarks
* Get a list of experiments from across all environments in the project
*/
async getExperimentsAnyEnv(request, options) {
return (0, fp_js_1.unwrapAsync)((0, experimentsGetExperimentsAnyEnv_js_1.experimentsGetExperimentsAnyEnv)(this, request, options));
}
}
exports.Experiments = Experiments;
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