@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.
147 lines • 6.93 kB
JavaScript
;
/*
* Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.
*/
var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
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}) : function(o, v) {
o["default"] = v;
});
var __importStar = (this && this.__importStar) || (function () {
var ownKeys = function(o) {
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__setModuleDefault(result, mod);
return result;
};
})();
Object.defineProperty(exports, "__esModule", { value: true });
exports.experimentsCreate = experimentsCreate;
const encodings_js_1 = require("../lib/encodings.js");
const M = __importStar(require("../lib/matchers.js"));
const primitives_js_1 = require("../lib/primitives.js");
const schemas_js_1 = require("../lib/schemas.js");
const security_js_1 = require("../lib/security.js");
const url_js_1 = require("../lib/url.js");
const components = __importStar(require("../models/components/index.js"));
const errors = __importStar(require("../models/errors/index.js"));
const operations = __importStar(require("../models/operations/index.js"));
const async_js_1 = require("../types/async.js");
/**
* 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).
*/
function experimentsCreate(client, request, options) {
return new async_js_1.APIPromise($do(client, request, options));
}
async function $do(client, request, options) {
const parsed = (0, schemas_js_1.safeParse)(request, (value) => operations.CreateExperimentRequest$outboundSchema.parse(value), "Input validation failed");
if (!parsed.ok) {
return [parsed, { status: "invalid" }];
}
const payload = parsed.value;
const body = (0, encodings_js_1.encodeJSON)("body", payload.ExperimentPost, { explode: true });
const pathParams = {
environmentKey: (0, encodings_js_1.encodeSimple)("environmentKey", payload.environmentKey, {
explode: false,
charEncoding: "percent",
}),
projectKey: (0, encodings_js_1.encodeSimple)("projectKey", payload.projectKey, {
explode: false,
charEncoding: "percent",
}),
};
const path = (0, url_js_1.pathToFunc)("/api/v2/projects/{projectKey}/environments/{environmentKey}/experiments")(pathParams);
const headers = new Headers((0, primitives_js_1.compactMap)({
"Content-Type": "application/json",
Accept: "application/json",
}));
const secConfig = await (0, security_js_1.extractSecurity)(client._options.apiKey);
const securityInput = secConfig == null ? {} : { apiKey: secConfig };
const requestSecurity = (0, security_js_1.resolveGlobalSecurity)(securityInput);
const context = {
options: client._options,
baseURL: options?.serverURL ?? client._baseURL ?? "",
operationID: "createExperiment",
oAuth2Scopes: null,
resolvedSecurity: requestSecurity,
securitySource: client._options.apiKey,
retryConfig: options?.retries
|| client._options.retryConfig
|| { strategy: "none" },
retryCodes: options?.retryCodes || ["429", "500", "502", "503", "504"],
};
const requestRes = client._createRequest(context, {
security: requestSecurity,
method: "POST",
baseURL: options?.serverURL,
path: path,
headers: headers,
body: body,
userAgent: client._options.userAgent,
timeoutMs: options?.timeoutMs || client._options.timeoutMs || -1,
}, options);
if (!requestRes.ok) {
return [requestRes, { status: "invalid" }];
}
const req = requestRes.value;
const doResult = await client._do(req, {
context,
errorCodes: ["400", "401", "403", "404", "429", "4XX", "5XX"],
retryConfig: context.retryConfig,
retryCodes: context.retryCodes,
});
if (!doResult.ok) {
return [doResult, { status: "request-error", request: req }];
}
const response = doResult.value;
const responseFields = {
HttpMeta: { Response: response, Request: req },
};
const [result] = await M.match(M.json(201, components.Experiment$inboundSchema), M.jsonErr(400, errors.InvalidRequestErrorRep$inboundSchema), M.jsonErr(401, errors.UnauthorizedErrorRep$inboundSchema), M.jsonErr(403, errors.ForbiddenErrorRep$inboundSchema), M.jsonErr(404, errors.NotFoundErrorRep$inboundSchema), M.jsonErr(429, errors.RateLimitedErrorRep$inboundSchema), M.fail("4XX"), M.fail("5XX"))(response, req, { extraFields: responseFields });
if (!result.ok) {
return [result, { status: "complete", request: req, response }];
}
return [result, { status: "complete", request: req, response }];
}
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