[Add] Synaptic AI Pro

https://assetstore.unity.com/packages/tools/generative-ai/synaptic-ai-pro-natural-language-control-for-unity-336030
2026-06-06 20:12:40 +07:00
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+  uploadId: 920982
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+  packageVersion: 1.2.23
+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/LICENSE
+  uploadId: 920982
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+# OpenAI TypeScript and JavaScript API Library
+
+[![NPM version](https://img.shields.io/npm/v/openai.svg)](https://npmjs.org/package/openai) ![npm bundle size](https://img.shields.io/bundlephobia/minzip/openai) [![JSR Version](https://jsr.io/badges/@openai/openai)](https://jsr.io/@openai/openai)
+
+This library provides convenient access to the OpenAI REST API from TypeScript or JavaScript.
+
+It is generated from our [OpenAPI specification](https://github.com/openai/openai-openapi) with [Stainless](https://stainlessapi.com/).
+
+To learn how to use the OpenAI API, check out our [API Reference](https://platform.openai.com/docs/api-reference) and [Documentation](https://platform.openai.com/docs).
+
+## Installation
+
+```sh
+npm install openai
+```
+
+### Installation from JSR
+
+```sh
+deno add jsr:@openai/openai
+npx jsr add @openai/openai
+```
+
+These commands will make the module importable from the `@openai/openai` scope. You can also [import directly from JSR](https://jsr.io/docs/using-packages#importing-with-jsr-specifiers) without an install step if you're using the Deno JavaScript runtime:
+
+```ts
+import OpenAI from 'jsr:@openai/openai';
+```
+
+## Usage
+
+The full API of this library can be found in [api.md file](api.md) along with many [code examples](https://github.com/openai/openai-node/tree/master/examples).
+
+The primary API for interacting with OpenAI models is the [Responses API](https://platform.openai.com/docs/api-reference/responses). You can generate text from the model with the code below.
+
+```ts
+import OpenAI from 'openai';
+
+const client = new OpenAI({
+  apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
+});
+
+const response = await client.responses.create({
+  model: 'gpt-4o',
+  instructions: 'You are a coding assistant that talks like a pirate',
+  input: 'Are semicolons optional in JavaScript?',
+});
+
+console.log(response.output_text);
+```
+
+The previous standard (supported indefinitely) for generating text is the [Chat Completions API](https://platform.openai.com/docs/api-reference/chat). You can use that API to generate text from the model with the code below.
+
+```ts
+import OpenAI from 'openai';
+
+const client = new OpenAI({
+  apiKey: process.env['OPENAI_API_KEY'], // This is the default and can be omitted
+});
+
+const completion = await client.chat.completions.create({
+  model: 'gpt-4o',
+  messages: [
+    { role: 'developer', content: 'Talk like a pirate.' },
+    { role: 'user', content: 'Are semicolons optional in JavaScript?' },
+  ],
+});
+
+console.log(completion.choices[0].message.content);
+```
+
+## Streaming responses
+
+We provide support for streaming responses using Server Sent Events (SSE).
+
+```ts
+import OpenAI from 'openai';
+
+const client = new OpenAI();
+
+const stream = await client.responses.create({
+  model: 'gpt-4o',
+  input: 'Say "Sheep sleep deep" ten times fast!',
+  stream: true,
+});
+
+for await (const event of stream) {
+  console.log(event);
+}
+```
+
+## File uploads
+
+Request parameters that correspond to file uploads can be passed in many different forms:
+
+- `File` (or an object with the same structure)
+- a `fetch` `Response` (or an object with the same structure)
+- an `fs.ReadStream`
+- the return value of our `toFile` helper
+
+```ts
+import fs from 'fs';
+import fetch from 'node-fetch';
+import OpenAI, { toFile } from 'openai';
+
+const client = new OpenAI();
+
+// If you have access to Node `fs` we recommend using `fs.createReadStream()`:
+await client.files.create({ file: fs.createReadStream('input.jsonl'), purpose: 'fine-tune' });
+
+// Or if you have the web `File` API you can pass a `File` instance:
+await client.files.create({ file: new File(['my bytes'], 'input.jsonl'), purpose: 'fine-tune' });
+
+// You can also pass a `fetch` `Response`:
+await client.files.create({ file: await fetch('https://somesite/input.jsonl'), purpose: 'fine-tune' });
+
+// Finally, if none of the above are convenient, you can use our `toFile` helper:
+await client.files.create({
+  file: await toFile(Buffer.from('my bytes'), 'input.jsonl'),
+  purpose: 'fine-tune',
+});
+await client.files.create({
+  file: await toFile(new Uint8Array([0, 1, 2]), 'input.jsonl'),
+  purpose: 'fine-tune',
+});
+```
+
+## Handling errors
+
+When the library is unable to connect to the API,
+or if the API returns a non-success status code (i.e., 4xx or 5xx response),
+a subclass of `APIError` will be thrown:
+
+<!-- prettier-ignore -->
+```ts
+async function main() {
+  const job = await client.fineTuning.jobs
+    .create({ model: 'gpt-4o', training_file: 'file-abc123' })
+    .catch(async (err) => {
+      if (err instanceof OpenAI.APIError) {
+        console.log(err.request_id);
+        console.log(err.status); // 400
+        console.log(err.name); // BadRequestError
+        console.log(err.headers); // {server: 'nginx', ...}
+      } else {
+        throw err;
+      }
+    });
+}
+
+main();
+```
+
+Error codes are as follows:
+
+| Status Code | Error Type                 |
+| ----------- | -------------------------- |
+| 400         | `BadRequestError`          |
+| 401         | `AuthenticationError`      |
+| 403         | `PermissionDeniedError`    |
+| 404         | `NotFoundError`            |
+| 422         | `UnprocessableEntityError` |
+| 429         | `RateLimitError`           |
+| >=500       | `InternalServerError`      |
+| N/A         | `APIConnectionError`       |
+
+### Retries
+
+Certain errors will be automatically retried 2 times by default, with a short exponential backoff.
+Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict,
+429 Rate Limit, and >=500 Internal errors will all be retried by default.
+
+You can use the `maxRetries` option to configure or disable this:
+
+<!-- prettier-ignore -->
+```js
+// Configure the default for all requests:
+const client = new OpenAI({
+  maxRetries: 0, // default is 2
+});
+
+// Or, configure per-request:
+await client.chat.completions.create({ messages: [{ role: 'user', content: 'How can I get the name of the current day in JavaScript?' }], model: 'gpt-4o' }, {
+  maxRetries: 5,
+});
+```
+
+### Timeouts
+
+Requests time out after 10 minutes by default. You can configure this with a `timeout` option:
+
+<!-- prettier-ignore -->
+```ts
+// Configure the default for all requests:
+const client = new OpenAI({
+  timeout: 20 * 1000, // 20 seconds (default is 10 minutes)
+});
+
+// Override per-request:
+await client.chat.completions.create({ messages: [{ role: 'user', content: 'How can I list all files in a directory using Python?' }], model: 'gpt-4o' }, {
+  timeout: 5 * 1000,
+});
+```
+
+On timeout, an `APIConnectionTimeoutError` is thrown.
+
+Note that requests which time out will be [retried twice by default](#retries).
+
+## Request IDs
+
+> For more information on debugging requests, see [these docs](https://platform.openai.com/docs/api-reference/debugging-requests)
+
+All object responses in the SDK provide a `_request_id` property which is added from the `x-request-id` response header so that you can quickly log failing requests and report them back to OpenAI.
+
+```ts
+const response = await client.responses.create({ model: 'gpt-4o', input: 'testing 123' });
+console.log(response._request_id) // req_123
+```
+
+You can also access the Request ID using the `.withResponse()` method:
+
+```ts
+const { data: stream, request_id } = await openai.responses
+  .create({
+    model: 'gpt-4o',
+    input: 'Say this is a test',
+    stream: true,
+  })
+  .withResponse();
+```
+
+## Auto-pagination
+
+List methods in the OpenAI API are paginated.
+You can use the `for await … of` syntax to iterate through items across all pages:
+
+```ts
+async function fetchAllFineTuningJobs(params) {
+  const allFineTuningJobs = [];
+  // Automatically fetches more pages as needed.
+  for await (const fineTuningJob of client.fineTuning.jobs.list({ limit: 20 })) {
+    allFineTuningJobs.push(fineTuningJob);
+  }
+  return allFineTuningJobs;
+}
+```
+
+Alternatively, you can request a single page at a time:
+
+```ts
+let page = await client.fineTuning.jobs.list({ limit: 20 });
+for (const fineTuningJob of page.data) {
+  console.log(fineTuningJob);
+}
+
+// Convenience methods are provided for manually paginating:
+while (page.hasNextPage()) {
+  page = await page.getNextPage();
+  // ...
+}
+```
+
+## Realtime API Beta
+
+The Realtime API enables you to build low-latency, multi-modal conversational experiences. It currently supports text and audio as both input and output, as well as [function calling](https://platform.openai.com/docs/guides/function-calling) through a `WebSocket` connection.
+
+```ts
+import { OpenAIRealtimeWebSocket } from 'openai/beta/realtime/websocket';
+
+const rt = new OpenAIRealtimeWebSocket({ model: 'gpt-4o-realtime-preview-2024-12-17' });
+
+rt.on('response.text.delta', (event) => process.stdout.write(event.delta));
+```
+
+For more information see [realtime.md](realtime.md).
+
+## Microsoft Azure OpenAI
+
+To use this library with [Azure OpenAI](https://learn.microsoft.com/azure/ai-services/openai/overview), use the `AzureOpenAI`
+class instead of the `OpenAI` class.
+
+> [!IMPORTANT]
+> The Azure API shape slightly differs from the core API shape which means that the static types for responses / params
+> won't always be correct.
+
+```ts
+import { AzureOpenAI } from 'openai';
+import { getBearerTokenProvider, DefaultAzureCredential } from '@azure/identity';
+
+const credential = new DefaultAzureCredential();
+const scope = 'https://cognitiveservices.azure.com/.default';
+const azureADTokenProvider = getBearerTokenProvider(credential, scope);
+
+const openai = new AzureOpenAI({ azureADTokenProvider, apiVersion: "<The API version, e.g. 2024-10-01-preview>" });
+
+const result = await openai.chat.completions.create({
+  model: 'gpt-4o',
+  messages: [{ role: 'user', content: 'Say hello!' }],
+});
+
+console.log(result.choices[0]!.message?.content);
+```
+
+For more information on support for the Azure API, see [azure.md](azure.md).
+
+## Advanced Usage
+
+### Accessing raw Response data (e.g., headers)
+
+The "raw" `Response` returned by `fetch()` can be accessed through the `.asResponse()` method on the `APIPromise` type that all methods return.
+
+You can also use the `.withResponse()` method to get the raw `Response` along with the parsed data.
+
+<!-- prettier-ignore -->
+```ts
+const client = new OpenAI();
+
+const httpResponse = await client.responses
+  .create({ model: 'gpt-4o', input: 'say this is a test.' })
+  .asResponse();
+
+// access the underlying web standard Response object
+console.log(httpResponse.headers.get('X-My-Header'));
+console.log(httpResponse.statusText);
+
+const { data: modelResponse, response: raw } = await client.responses
+  .create({ model: 'gpt-4o', input: 'say this is a test.' })
+  .withResponse();
+console.log(raw.headers.get('X-My-Header'));
+console.log(modelResponse);
+```
+
+### Making custom/undocumented requests
+
+This library is typed for convenient access to the documented API. If you need to access undocumented
+endpoints, params, or response properties, the library can still be used.
+
+#### Undocumented endpoints
+
+To make requests to undocumented endpoints, you can use `client.get`, `client.post`, and other HTTP verbs.
+Options on the client, such as retries, will be respected when making these requests.
+
+```ts
+await client.post('/some/path', {
+  body: { some_prop: 'foo' },
+  query: { some_query_arg: 'bar' },
+});
+```
+
+#### Undocumented request params
+
+To make requests using undocumented parameters, you may use `// @ts-expect-error` on the undocumented
+parameter. This library doesn't validate at runtime that the request matches the type, so any extra values you
+send will be sent as-is.
+
+```ts
+client.foo.create({
+  foo: 'my_param',
+  bar: 12,
+  // @ts-expect-error baz is not yet public
+  baz: 'undocumented option',
+});
+```
+
+For requests with the `GET` verb, any extra params will be in the query, all other requests will send the
+extra param in the body.
+
+If you want to explicitly send an extra argument, you can do so with the `query`, `body`, and `headers` request
+options.
+
+#### Undocumented response properties
+
+To access undocumented response properties, you may access the response object with `// @ts-expect-error` on
+the response object, or cast the response object to the requisite type. Like the request params, we do not
+validate or strip extra properties from the response from the API.
+
+### Customizing the fetch client
+
+> We're actively working on a new alpha version that migrates from `node-fetch` to builtin fetch.
+> 
+> Please try it out and let us know if you run into any issues!
+> https://community.openai.com/t/your-feedback-requested-node-js-sdk-5-0-0-alpha/1063774
+
+By default, this library uses `node-fetch` in Node, and expects a global `fetch` function in other environments.
+
+If you would prefer to use a global, web-standards-compliant `fetch` function even in a Node environment,
+(for example, if you are running Node with `--experimental-fetch` or using NextJS which polyfills with `undici`),
+add the following import before your first import `from "OpenAI"`:
+
+```ts
+// Tell TypeScript and the package to use the global web fetch instead of node-fetch.
+// Note, despite the name, this does not add any polyfills, but expects them to be provided if needed.
+import 'openai/shims/web';
+import OpenAI from 'openai';
+```
+
+To do the inverse, add `import "openai/shims/node"` (which does import polyfills).
+This can also be useful if you are getting the wrong TypeScript types for `Response` ([more details](https://github.com/openai/openai-node/tree/master/src/_shims#readme)).
+
+### Logging and middleware
+
+You may also provide a custom `fetch` function when instantiating the client,
+which can be used to inspect or alter the `Request` or `Response` before/after each request:
+
+```ts
+import { fetch } from 'undici'; // as one example
+import OpenAI from 'openai';
+
+const client = new OpenAI({
+  fetch: async (url: RequestInfo, init?: RequestInit): Promise<Response> => {
+    console.log('About to make a request', url, init);
+    const response = await fetch(url, init);
+    console.log('Got response', response);
+    return response;
+  },
+});
+```
+
+Note that if given a `DEBUG=true` environment variable, this library will log all requests and responses automatically.
+This is intended for debugging purposes only and may change in the future without notice.
+
+### Configuring an HTTP(S) Agent (e.g., for proxies)
+
+By default, this library uses a stable agent for all http/https requests to reuse TCP connections, eliminating many TCP & TLS handshakes and shaving around 100ms off most requests.
+
+If you would like to disable or customize this behavior, for example to use the API behind a proxy, you can pass an `httpAgent` which is used for all requests (be they http or https), for example:
+
+<!-- prettier-ignore -->
+```ts
+import http from 'http';
+import { HttpsProxyAgent } from 'https-proxy-agent';
+
+// Configure the default for all requests:
+const client = new OpenAI({
+  httpAgent: new HttpsProxyAgent(process.env.PROXY_URL),
+});
+
+// Override per-request:
+await client.models.list({
+  httpAgent: new http.Agent({ keepAlive: false }),
+});
+```
+
+## Semantic versioning
+
+This package generally follows [SemVer](https://semver.org/spec/v2.0.0.html) conventions, though certain backwards-incompatible changes may be released as minor versions:
+
+1. Changes that only affect static types, without breaking runtime behavior.
+2. Changes to library internals which are technically public but not intended or documented for external use. _(Please open a GitHub issue to let us know if you are relying on such internals.)_
+3. Changes that we do not expect to impact the vast majority of users in practice.
+
+We take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience.
+
+We are keen for your feedback; please open an [issue](https://www.github.com/openai/openai-node/issues) with questions, bugs, or suggestions.
+
+## Requirements
+
+TypeScript >= 4.5 is supported.
+
+The following runtimes are supported:
+
+- Node.js 18 LTS or later ([non-EOL](https://endoflife.date/nodejs)) versions.
+- Deno v1.28.0 or higher.
+- Bun 1.0 or later.
+- Cloudflare Workers.
+- Vercel Edge Runtime.
+- Jest 28 or greater with the `"node"` environment (`"jsdom"` is not supported at this time).
+- Nitro v2.6 or greater.
+- Web browsers: disabled by default to avoid exposing your secret API credentials. Enable browser support by explicitly setting `dangerouslyAllowBrowser` to true'.
+  <details>
+    <summary>More explanation</summary>
+
+  ### Why is this dangerous?
+
+  Enabling the `dangerouslyAllowBrowser` option can be dangerous because it exposes your secret API credentials in the client-side code. Web browsers are inherently less secure than server environments,
+  any user with access to the browser can potentially inspect, extract, and misuse these credentials. This could lead to unauthorized access using your credentials and potentially compromise sensitive data or functionality.
+
+  ### When might this not be dangerous?
+
+  In certain scenarios where enabling browser support might not pose significant risks:
+
+  - Internal Tools: If the application is used solely within a controlled internal environment where the users are trusted, the risk of credential exposure can be mitigated.
+  - Public APIs with Limited Scope: If your API has very limited scope and the exposed credentials do not grant access to sensitive data or critical operations, the potential impact of exposure is reduced.
+  - Development or debugging purpose: Enabling this feature temporarily might be acceptable, provided the credentials are short-lived, aren't also used in production environments, or are frequently rotated.
+
+</details>
+
+Note that React Native is not supported at this time.
+
+If you are interested in other runtime environments, please open or upvote an issue on GitHub.
+
+## Contributing
+
+See [the contributing documentation](./CONTRIBUTING.md).
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+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
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+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.MultipartBody = void 0;
+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+class MultipartBody {
+    constructor(body) {
+        this.body = body;
+    }
+    get [Symbol.toStringTag]() {
+        return 'MultipartBody';
+    }
+}
+exports.MultipartBody = MultipartBody;
+//# sourceMappingURL=MultipartBody.js.map
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+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+export class MultipartBody {
+    constructor(body) {
+        this.body = body;
+    }
+    get [Symbol.toStringTag]() {
+        return 'MultipartBody';
+    }
+}
+//# sourceMappingURL=MultipartBody.mjs.map
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+# 👋 Wondering what everything in here does?
+
+`openai` supports a wide variety of runtime environments like Node.js, Deno, Bun, browsers, and various
+edge runtimes, as well as both CommonJS (CJS) and EcmaScript Modules (ESM).
+
+To do this, `openai` provides shims for either using `node-fetch` when in Node (because `fetch` is still experimental there) or the global `fetch` API built into the environment when not in Node.
+
+It uses [conditional exports](https://nodejs.org/api/packages.html#conditional-exports) to
+automatically select the correct shims for each environment. However, conditional exports are a fairly new
+feature and not supported everywhere. For instance, the TypeScript `"moduleResolution": "node"`
+
+setting doesn't consult the `exports` map, compared to `"moduleResolution": "nodeNext"`, which does.
+Unfortunately that's still the default setting, and it can result in errors like
+getting the wrong raw `Response` type from `.asResponse()`, for example.
+
+The user can work around these issues by manually importing one of:
+
+- `import 'openai/shims/node'`
+- `import 'openai/shims/web'`
+
+All of the code here in `_shims` handles selecting the automatic default shims or manual overrides.
+
+### How it works - Runtime
+
+Runtime shims get installed by calling `setShims` exported by `openai/_shims/registry`.
+
+Manually importing `openai/shims/node` or `openai/shims/web`, calls `setShims` with the respective runtime shims.
+
+All client code imports shims from `openai/_shims/index`, which:
+
+- checks if shims have been set manually
+- if not, calls `setShims` with the shims from `openai/_shims/auto/runtime`
+- re-exports the installed shims from `openai/_shims/registry`.
+
+`openai/_shims/auto/runtime` exports web runtime shims.
+If the `node` export condition is set, the export map replaces it with `openai/_shims/auto/runtime-node`.
+
+### How it works - Type time
+
+All client code imports shim types from `openai/_shims/index`, which selects the manual types from `openai/_shims/manual-types` if they have been declared, otherwise it exports the auto types from `openai/_shims/auto/types`.
+
+`openai/_shims/manual-types` exports an empty namespace.
+Manually importing `openai/shims/node` or `openai/shims/web` merges declarations into this empty namespace, so they get picked up by `openai/_shims/index`.
+
+`openai/_shims/auto/types` exports web type definitions.
+If the `node` export condition is set, the export map replaces it with `openai/_shims/auto/types-node`, though TS only picks this up if `"moduleResolution": "nodenext"` or `"moduleResolution": "bundler"`.
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+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+export * from "../bun-runtime.js";
+//# sourceMappingURL=runtime-bun.d.ts.map
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+"use strict";
+var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    var desc = Object.getOwnPropertyDescriptor(m, k);
+    if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
+      desc = { enumerable: true, get: function() { return m[k]; } };
+    }
+    Object.defineProperty(o, k2, desc);
+}) : (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    o[k2] = m[k];
+}));
+var __exportStar = (this && this.__exportStar) || function(m, exports) {
+    for (var p in m) if (p !== "default" && !Object.prototype.hasOwnProperty.call(exports, p)) __createBinding(exports, m, p);
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+__exportStar(require("../bun-runtime.js"), exports);
+//# sourceMappingURL=runtime-bun.js.map
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+//# sourceMappingURL=runtime-bun.mjs.map
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+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+export * from "../node-runtime.js";
+//# sourceMappingURL=runtime-node.d.ts.map
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+"use strict";
+var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    var desc = Object.getOwnPropertyDescriptor(m, k);
+    if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
+      desc = { enumerable: true, get: function() { return m[k]; } };
+    }
+    Object.defineProperty(o, k2, desc);
+}) : (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    o[k2] = m[k];
+}));
+var __exportStar = (this && this.__exportStar) || function(m, exports) {
+    for (var p in m) if (p !== "default" && !Object.prototype.hasOwnProperty.call(exports, p)) __createBinding(exports, m, p);
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+__exportStar(require("../node-runtime.js"), exports);
+//# sourceMappingURL=runtime-node.js.map
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+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+export * from "../web-runtime.js";
+//# sourceMappingURL=runtime.d.ts.map
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+var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    var desc = Object.getOwnPropertyDescriptor(m, k);
+    if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
+      desc = { enumerable: true, get: function() { return m[k]; } };
+    }
+    Object.defineProperty(o, k2, desc);
+}) : (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    o[k2] = m[k];
+}));
+var __exportStar = (this && this.__exportStar) || function(m, exports) {
+    for (var p in m) if (p !== "default" && !Object.prototype.hasOwnProperty.call(exports, p)) __createBinding(exports, m, p);
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+__exportStar(require("../web-runtime.js"), exports);
+//# sourceMappingURL=runtime.js.map
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+//# sourceMappingURL=runtime.mjs.map
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/auto/runtime.mjs
+  uploadId: 920982
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+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+export * from "../node-types.js";
+//# sourceMappingURL=types-node.d.ts.map
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+{"version":3,"file":"types-node.d.ts","sourceRoot":"","sources":["../../src/_shims/auto/types-node.ts"],"names":[],"mappings":"AAAA;;GAEG;AACH,cAAc,eAAe,CAAC"}
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/auto/types-node.d.ts
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+"use strict";
+var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    var desc = Object.getOwnPropertyDescriptor(m, k);
+    if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
+      desc = { enumerable: true, get: function() { return m[k]; } };
+    }
+    Object.defineProperty(o, k2, desc);
+}) : (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    o[k2] = m[k];
+}));
+var __exportStar = (this && this.__exportStar) || function(m, exports) {
+    for (var p in m) if (p !== "default" && !Object.prototype.hasOwnProperty.call(exports, p)) __createBinding(exports, m, p);
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+__exportStar(require("../node-types.js"), exports);
+//# sourceMappingURL=types-node.js.map
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+{"version":3,"file":"types-node.js","sourceRoot":"","sources":["../../src/_shims/auto/types-node.ts"],"names":[],"mappings":";;;;;;;;;;;;;;;;AAAA;;GAEG;AACH,mDAA8B"}
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+export * from "../node-types.mjs";
+//# sourceMappingURL=types-node.mjs.map
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/auto/types-node.mjs
+  uploadId: 920982
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+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+export type Agent = any;
+
+// @ts-ignore
+declare const _fetch: unknown extends typeof fetch ? never : typeof fetch;
+export { _fetch as fetch };
+
+// @ts-ignore
+type _Request = unknown extends Request ? never : Request;
+export { _Request as Request };
+
+// @ts-ignore
+type _RequestInfo = unknown extends RequestInfo ? never : RequestInfo;
+export { type _RequestInfo as RequestInfo };
+
+// @ts-ignore
+type _RequestInit = unknown extends RequestInit ? never : RequestInit;
+export { type _RequestInit as RequestInit };
+
+// @ts-ignore
+type _Response = unknown extends Response ? never : Response;
+export { _Response as Response };
+
+// @ts-ignore
+type _ResponseInit = unknown extends ResponseInit ? never : ResponseInit;
+export { type _ResponseInit as ResponseInit };
+
+// @ts-ignore
+type _ResponseType = unknown extends ResponseType ? never : ResponseType;
+export { type _ResponseType as ResponseType };
+
+// @ts-ignore
+type _BodyInit = unknown extends BodyInit ? never : BodyInit;
+export { type _BodyInit as BodyInit };
+
+// @ts-ignore
+type _Headers = unknown extends Headers ? never : Headers;
+export { _Headers as Headers };
+
+// @ts-ignore
+type _HeadersInit = unknown extends HeadersInit ? never : HeadersInit;
+export { type _HeadersInit as HeadersInit };
+
+type EndingType = 'native' | 'transparent';
+
+export interface BlobPropertyBag {
+  endings?: EndingType;
+  type?: string;
+}
+
+export interface FilePropertyBag extends BlobPropertyBag {
+  lastModified?: number;
+}
+
+export type FileFromPathOptions = Omit<FilePropertyBag, 'lastModified'>;
+
+// @ts-ignore
+type _FormData = unknown extends FormData ? never : FormData;
+// @ts-ignore
+declare const _FormData: unknown extends typeof FormData ? never : typeof FormData;
+export { _FormData as FormData };
+
+// @ts-ignore
+type _File = unknown extends File ? never : File;
+// @ts-ignore
+declare const _File: unknown extends typeof File ? never : typeof File;
+export { _File as File };
+
+// @ts-ignore
+type _Blob = unknown extends Blob ? never : Blob;
+// @ts-ignore
+declare const _Blob: unknown extends typeof Blob ? never : typeof Blob;
+export { _Blob as Blob };
+
+export declare class Readable {
+  readable: boolean;
+  readonly readableEnded: boolean;
+  readonly readableFlowing: boolean | null;
+  readonly readableHighWaterMark: number;
+  readonly readableLength: number;
+  readonly readableObjectMode: boolean;
+  destroyed: boolean;
+  read(size?: number): any;
+  pause(): this;
+  resume(): this;
+  isPaused(): boolean;
+  destroy(error?: Error): this;
+  [Symbol.asyncIterator](): AsyncIterableIterator<any>;
+}
+
+export declare class FsReadStream extends Readable {
+  path: {}; // node type is string | Buffer
+}
+
+// @ts-ignore
+type _ReadableStream<R = any> = unknown extends ReadableStream<R> ? never : ReadableStream<R>;
+// @ts-ignore
+declare const _ReadableStream: unknown extends typeof ReadableStream ? never : typeof ReadableStream;
+export { _ReadableStream as ReadableStream };
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+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
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+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
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+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+import { type Shims } from "./registry.js";
+export declare function getRuntime(): Shims;
+//# sourceMappingURL=bun-runtime.d.ts.map
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+{"version":3,"file":"bun-runtime.d.ts","sourceRoot":"","sources":["../src/_shims/bun-runtime.ts"],"names":[],"mappings":"AAAA;;GAEG;AACH,OAAO,EAAE,KAAK,KAAK,EAAE,MAAM,YAAY,CAAC;AAIxC,wBAAgB,UAAU,IAAI,KAAK,CAMlC"}
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/bun-runtime.d.ts
+  uploadId: 920982
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+"use strict";
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.getRuntime = void 0;
+const web_runtime_1 = require("./web-runtime.js");
+const node_fs_1 = require("node:fs");
+function getRuntime() {
+    const runtime = (0, web_runtime_1.getRuntime)();
+    function isFsReadStream(value) {
+        return value instanceof node_fs_1.ReadStream;
+    }
+    return { ...runtime, isFsReadStream };
+}
+exports.getRuntime = getRuntime;
+//# sourceMappingURL=bun-runtime.js.map
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+{"version":3,"file":"bun-runtime.js","sourceRoot":"","sources":["../src/_shims/bun-runtime.ts"],"names":[],"mappings":";;;AAIA,kDAA4D;AAC5D,qCAAqD;AAErD,SAAgB,UAAU;IACxB,MAAM,OAAO,GAAG,IAAA,wBAAa,GAAE,CAAC;IAChC,SAAS,cAAc,CAAC,KAAU;QAChC,OAAO,KAAK,YAAY,oBAAY,CAAC;IACvC,CAAC;IACD,OAAO,EAAE,GAAG,OAAO,EAAE,cAAc,EAAE,CAAC;AACxC,CAAC;AAND,gCAMC"}
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+  packageName: Synaptic AI Pro - Natural Language Control for Unity
+  packageVersion: 1.2.23
+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/bun-runtime.js
+  uploadId: 920982
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+import { getRuntime as getWebRuntime } from "./web-runtime.mjs";
+import { ReadStream as FsReadStream } from 'node:fs';
+export function getRuntime() {
+    const runtime = getWebRuntime();
+    function isFsReadStream(value) {
+        return value instanceof FsReadStream;
+    }
+    return { ...runtime, isFsReadStream };
+}
+//# sourceMappingURL=bun-runtime.mjs.map
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+{"version":3,"file":"bun-runtime.mjs","sourceRoot":"","sources":["../src/_shims/bun-runtime.ts"],"names":[],"mappings":"OAIO,EAAE,UAAU,IAAI,aAAa,EAAE;OAC/B,EAAE,UAAU,IAAI,YAAY,EAAE,MAAM,SAAS;AAEpD,MAAM,UAAU,UAAU;IACxB,MAAM,OAAO,GAAG,aAAa,EAAE,CAAC;IAChC,SAAS,cAAc,CAAC,KAAU;QAChC,OAAO,KAAK,YAAY,YAAY,CAAC;IACvC,CAAC;IACD,OAAO,EAAE,GAAG,OAAO,EAAE,cAAc,EAAE,CAAC;AACxC,CAAC"}
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+  packageName: Synaptic AI Pro - Natural Language Control for Unity
+  packageVersion: 1.2.23
+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/bun-runtime.mjs
+  uploadId: 920982
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+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+import { manual } from "./manual-types.js";
+import * as auto from 'openai/_shims/auto/types';
+import { type RequestOptions } from "../core.js";
+
+type SelectType<Manual, Auto> = unknown extends Manual ? Auto : Manual;
+
+export const kind: string;
+
+// @ts-ignore
+export type Agent = SelectType<manual.Agent, auto.Agent>;
+
+// @ts-ignore
+export const fetch: SelectType<typeof manual.fetch, typeof auto.fetch>;
+
+// @ts-ignore
+export type Request = SelectType<manual.Request, auto.Request>;
+// @ts-ignore
+export type RequestInfo = SelectType<manual.RequestInfo, auto.RequestInfo>;
+// @ts-ignore
+export type RequestInit = SelectType<manual.RequestInit, auto.RequestInit>;
+
+// @ts-ignore
+export type Response = SelectType<manual.Response, auto.Response>;
+// @ts-ignore
+export type ResponseInit = SelectType<manual.ResponseInit, auto.ResponseInit>;
+// @ts-ignore
+export type ResponseType = SelectType<manual.ResponseType, auto.ResponseType>;
+// @ts-ignore
+export type BodyInit = SelectType<manual.BodyInit, auto.BodyInit>;
+// @ts-ignore
+export type Headers = SelectType<manual.Headers, auto.Headers>;
+// @ts-ignore
+export const Headers: SelectType<typeof manual.Headers, typeof auto.Headers>;
+// @ts-ignore
+export type HeadersInit = SelectType<manual.HeadersInit, auto.HeadersInit>;
+
+// @ts-ignore
+export type BlobPropertyBag = SelectType<manual.BlobPropertyBag, auto.BlobPropertyBag>;
+// @ts-ignore
+export type FilePropertyBag = SelectType<manual.FilePropertyBag, auto.FilePropertyBag>;
+// @ts-ignore
+export type FileFromPathOptions = SelectType<manual.FileFromPathOptions, auto.FileFromPathOptions>;
+// @ts-ignore
+export type FormData = SelectType<manual.FormData, auto.FormData>;
+// @ts-ignore
+export const FormData: SelectType<typeof manual.FormData, typeof auto.FormData>;
+// @ts-ignore
+export type File = SelectType<manual.File, auto.File>;
+// @ts-ignore
+export const File: SelectType<typeof manual.File, typeof auto.File>;
+// @ts-ignore
+export type Blob = SelectType<manual.Blob, auto.Blob>;
+// @ts-ignore
+export const Blob: SelectType<typeof manual.Blob, typeof auto.Blob>;
+
+// @ts-ignore
+export type Readable = SelectType<manual.Readable, auto.Readable>;
+// @ts-ignore
+export type FsReadStream = SelectType<manual.FsReadStream, auto.FsReadStream>;
+// @ts-ignore
+export type ReadableStream = SelectType<manual.ReadableStream, auto.ReadableStream>;
+// @ts-ignore
+export const ReadableStream: SelectType<typeof manual.ReadableStream, typeof auto.ReadableStream>;
+
+export function getMultipartRequestOptions<T = Record<string, unknown>>(
+  form: FormData,
+  opts: RequestOptions<T>,
+): Promise<RequestOptions<T>>;
+
+export function getDefaultAgent(url: string): any;
+
+// @ts-ignore
+export type FileFromPathOptions = SelectType<manual.FileFromPathOptions, auto.FileFromPathOptions>;
+
+export function fileFromPath(path: string, options?: FileFromPathOptions): Promise<File>;
+export function fileFromPath(path: string, filename?: string, options?: FileFromPathOptions): Promise<File>;
+
+export function isFsReadStream(value: any): value is FsReadStream;
+
+export const init: () => void;
@@ -0,0 +1,14 @@
+fileFormatVersion: 2
+guid: 376890b31a98143ee87eded47752fb85
+DefaultImporter:
+  externalObjects: {}
+  userData: 
+  assetBundleName: 
+  assetBundleVariant: 
+AssetOrigin:
+  serializedVersion: 1
+  productId: 336030
+  packageName: Synaptic AI Pro - Natural Language Control for Unity
+  packageVersion: 1.2.23
+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/index.d.ts
+  uploadId: 920982
@@ -0,0 +1,17 @@
+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+const shims = require('./registry');
+const auto = require('openai/_shims/auto/runtime');
+exports.init = () => {
+  if (!shims.kind) shims.setShims(auto.getRuntime(), { auto: true });
+};
+for (const property of Object.keys(shims)) {
+  Object.defineProperty(exports, property, {
+    get() {
+      return shims[property];
+    },
+  });
+}
+
+exports.init();
@@ -0,0 +1,14 @@
+fileFormatVersion: 2
+guid: 45bf565f766c64f399b470321fb30fb4
+DefaultImporter:
+  externalObjects: {}
+  userData: 
+  assetBundleName: 
+  assetBundleVariant: 
+AssetOrigin:
+  serializedVersion: 1
+  productId: 336030
+  packageName: Synaptic AI Pro - Natural Language Control for Unity
+  packageVersion: 1.2.23
+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/index.js
+  uploadId: 920982
@@ -0,0 +1,11 @@
+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+import * as shims from './registry.mjs';
+import * as auto from 'openai/_shims/auto/runtime';
+export const init = () => {
+  if (!shims.kind) shims.setShims(auto.getRuntime(), { auto: true });
+};
+export * from './registry.mjs';
+
+init();
@@ -0,0 +1,14 @@
+fileFormatVersion: 2
+guid: 24527627dee5f4ab9a8fda40ab194103
+DefaultImporter:
+  externalObjects: {}
+  userData: 
+  assetBundleName: 
+  assetBundleVariant: 
+AssetOrigin:
+  serializedVersion: 1
+  productId: 336030
+  packageName: Synaptic AI Pro - Natural Language Control for Unity
+  packageVersion: 1.2.23
+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/index.mjs
+  uploadId: 920982
@@ -0,0 +1,12 @@
+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
+/**
+ * Types will get added to this namespace when you import one of the following:
+ *
+ *   import 'openai/shims/node'
+ *   import 'openai/shims/web'
+ *
+ * Importing more than one will cause type and runtime errors.
+ */
+export namespace manual {}
@@ -0,0 +1,14 @@
+fileFormatVersion: 2
+guid: 99c92bccead354919868115895707c3c
+DefaultImporter:
+  externalObjects: {}
+  userData: 
+  assetBundleName: 
+  assetBundleVariant: 
+AssetOrigin:
+  serializedVersion: 1
+  productId: 336030
+  packageName: Synaptic AI Pro - Natural Language Control for Unity
+  packageVersion: 1.2.23
+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/manual-types.d.ts
+  uploadId: 920982
@@ -0,0 +1,3 @@
+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
@@ -0,0 +1,14 @@
+fileFormatVersion: 2
+guid: 554d17e5c49954e6db8be656441ff755
+DefaultImporter:
+  externalObjects: {}
+  userData: 
+  assetBundleName: 
+  assetBundleVariant: 
+AssetOrigin:
+  serializedVersion: 1
+  productId: 336030
+  packageName: Synaptic AI Pro - Natural Language Control for Unity
+  packageVersion: 1.2.23
+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/manual-types.js
+  uploadId: 920982
@@ -0,0 +1,3 @@
+/**
+ * Disclaimer: modules in _shims aren't intended to be imported by SDK users.
+ */
@@ -0,0 +1,14 @@
+fileFormatVersion: 2
+guid: ffcec272e13974bffa4ac37f7114d7d8
+DefaultImporter:
+  externalObjects: {}
+  userData: 
+  assetBundleName: 
+  assetBundleVariant: 
+AssetOrigin:
+  serializedVersion: 1
+  productId: 336030
+  packageName: Synaptic AI Pro - Natural Language Control for Unity
+  packageVersion: 1.2.23
+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/_shims/manual-types.mjs
+  uploadId: 920982
--- a/Show More
+++ b/Show More
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