@launchdarkly/mcp-server/dist/esm/funcs/experimentsCreate.js

The local [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server for [LaunchDarkly](https://launchdarkly.com/) federal and European Union (EU) environments.

/*
 * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.
 */
import { encodeJSON, encodeSimple } from "../lib/encodings.js";
import * as M from "../lib/matchers.js";
import { compactMap } from "../lib/primitives.js";
import { safeParse } from "../lib/schemas.js";
import { extractSecurity, resolveGlobalSecurity } from "../lib/security.js";
import { pathToFunc } from "../lib/url.js";
import * as components from "../models/components/index.js";
import * as errors from "../models/errors/index.js";
import * as operations from "../models/operations/index.js";
import { APIPromise } from "../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).
 */
export function experimentsCreate(client, request, options) {
    return new APIPromise($do(client, request, options));
}
async function $do(client, request, options) {
    const parsed = safeParse(request, (value) => operations.CreateExperimentRequest$outboundSchema.parse(value), "Input validation failed");
    if (!parsed.ok) {
        return [parsed, { status: "invalid" }];
    }
    const payload = parsed.value;
    const body = encodeJSON("body", payload.ExperimentPost, { explode: true });
    const pathParams = {
        environmentKey: encodeSimple("environmentKey", payload.environmentKey, {
            explode: false,
            charEncoding: "percent",
        }),
        projectKey: encodeSimple("projectKey", payload.projectKey, {
            explode: false,
            charEncoding: "percent",
        }),
    };
    const path = pathToFunc("/api/v2/projects/{projectKey}/environments/{environmentKey}/experiments")(pathParams);
    const headers = new Headers(compactMap({
        "Content-Type": "application/json",
        Accept: "application/json",
    }));
    const secConfig = await extractSecurity(client._options.apiKey);
    const securityInput = secConfig == null ? {} : { apiKey: secConfig };
    const requestSecurity = 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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