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Implementation:Openai Openai node Ecosystem CLI

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Domains SDK, Testing, CLI
Last Updated 2026-02-15 12:00 GMT

Overview

TypeScript CLI orchestrator that builds, packs, and runs the openai-node SDK against a suite of ecosystem test projects spanning Node.js CJS/ESM, browser, Cloudflare Worker, Vercel Edge, Bun, and Webpack environments.

Description

ecosystem-tests/cli.ts is a 668-line TypeScript script that serves as the central test runner for SDK compatibility testing. It packs the SDK into a tarball, installs it into each test project, and executes the project-specific test commands. The script supports parallel execution, retries, CI integration, and live API testing.

Supported Test Projects

The CLI defines runners for the following ecosystem test projects:

Project Runtime/Environment Runner Behavior
`node-ts-cjs` Node.js + TypeScript (CommonJS) Install, compile with `tsc`, optionally run tests
`node-ts-cjs-web` Node.js + TypeScript (CJS, web target) Same as default Node runner
`node-ts-cjs-auto` Node.js + TypeScript (CJS, auto module) Same as default Node runner
`node-ts4.5-jest28` Node.js + TypeScript 4.5 + Jest 28 Same as default Node runner
`node-ts-esm` Node.js + TypeScript (ESM) Same as default Node runner
`node-ts-esm-web` Node.js + TypeScript (ESM, web target) Same as default Node runner
`node-ts-esm-auto` Node.js + TypeScript (ESM, auto module) Same as default Node runner
`node-js` Node.js (plain JavaScript) Install, run `test.js`
`ts-browser-webpack` Browser + Webpack Install, compile, build, optionally run CI tests
`browser-direct-import` Browser (direct import) Install, symlink node_modules, compile, optionally run CI tests
`vercel-edge` Vercel Edge Runtime Install, dev test, build, CI test, optional deploy
`cloudflare-worker` Cloudflare Workers Install, write `.dev.vars`, compile, CI test, optional deploy
`bun` Bun runtime Install via `bun install`, compile, optionally run tests

CLI Arguments

The script uses `yargs` to parse command-line options:

  • positional projects -- select specific projects to run
  • --verbose -- enable verbose output (stdio inherit)
  • --skip -- skip specific projects by name
  • --skipPack -- skip the build and pack step
  • --fromNpm -- test installing from a published NPM package instead of local tarball
  • --live -- make live API requests during tests
  • --deploy -- push projects to live servers (Vercel, Cloudflare)
  • --jobs -- number of parallel jobs (default: 1)
  • --parallel -- run all projects in parallel
  • --retry / --retryDelay -- retry failing projects with configurable delay
  • --noCleanup -- skip file restoration on exit

Architecture

The script follows this execution flow:

  1. Validate `OPENAI_API_KEY` environment variable is set
  2. Parse CLI arguments via `yargs`
  3. Find the package root directory by traversing up to find `package.json`
  4. Build and pack the SDK into a `.pack/openai.tgz` tarball (unless `--skipPack`)
  5. Start an HTTPS proxy server for proxied API connections
  6. Cache ecosystem project files (package.json, lockfiles) to a `tmp/` directory
  7. Execute each selected project runner, either sequentially or in parallel
  8. Restore cached files and clean up artifacts on exit

Key Internal Functions

  • `main()` -- Entry point; orchestrates the full lifecycle
  • `buildPackage()` -- Runs `yarn build` and `npm pack` to create the SDK tarball
  • `installPackage()` -- Cleans `node_modules` and installs the packed tarball into a test project
  • `startProxy()` -- Creates an HTTP CONNECT proxy to `api.openai.com:443` for testing proxy support
  • `withRetry(fn, id, retryAmount, retryDelayMs)` -- Retries a function with configurable delay
  • `fileCache` -- IIFE module that caches and restores `package.json`, `package-lock.json`, `deno.lock`, and `bun.lockb` files before/after test runs
  • `withChdir(dir, fn)` -- Executes a function in a different working directory
  • `run(command, args, config)` -- Wraps `execa` for subprocess execution with verbose logging

Parallel Execution

When `--jobs > 1` or `--parallel` is used, the CLI spawns child processes that re-invoke itself (`yarn tsn __filename project --skip-pack --noCleanup`) for each project. Output from parallel runs is buffered and flushed sequentially. A terminal spinner shows progress in interactive environments. In CI environments (`CI=true`), GitHub Actions `::group::` annotations are emitted.

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