Sedata.AI Docs

class ConfigValidator {
  static validate(config: TelemetryConfig): void
}

A small static class that asserts a TelemetryConfig is well-formed. Used internally by TelemetryManager’s constructor — exposed publicly so you can validate configs in tests, CLIs, or at deploy time.

Method

`validate(config: TelemetryConfig): void`

Throws on invalid input. Returns nothing on success.

Rules enforced

Rule	Error message
`exporterEndpoint` required unless `exporterType: 'console'`	`exporterEndpoint is required`
`samplingRate` must be in `[0, 1]` (when set)	`samplingRate must be between 0 and 1`
`metricExportIntervalMs` must be `> 0` (when set)	`metricExportIntervalMs must be >0`
`batchTimeoutMs` must be `>= 0` (when set)	`batchTimeout must be >=0`
`exporterAuth.type === 'bearer'` requires `token`	`Bearer token is required when using bearer auth`
`exporterAuth.type === 'apiKey'` requires `apiKey`	`API key is required when using apiKey auth`
`exporterAuth.type === 'basic'` requires `username` + `password`	`Username and password are required when using basic auth`

Example

import { ConfigValidator } from '@sedata-ai/mcp'

try {
  ConfigValidator.validate({
    serverName: 'my-server',
    serverVersion: '1.0.0',
    samplingRate: 1.5,
  })
} catch (err) {
  console.error('Bad config:', (err as Error).message)
  // → Bad config: samplingRate must be between 0 and 1
}

Use cases

Config tests

Assert your environment-driven config is valid in unit tests.

Bootstrap script

Fail fast at deploy time before connecting any transports.