[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
parent de84b2bf48
commit 97ac0f71f5
13682 changed files with 1125938 additions and 0 deletions
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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/resources/beta/assistants.d.ts.map
+  uploadId: 920982
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/resources/beta/assistants.d.ts
+  uploadId: 920982
@@ -0,0 +1,92 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.AssistantsPage = exports.Assistants = void 0;
+const resource_1 = require("../../resource.js");
+const core_1 = require("../../core.js");
+const pagination_1 = require("../../pagination.js");
+const AssistantStream_1 = require("../../lib/AssistantStream.js");
+class Assistants extends resource_1.APIResource {
+    /**
+     * Create an assistant with a model and instructions.
+     *
+     * @example
+     * ```ts
+     * const assistant = await client.beta.assistants.create({
+     *   model: 'gpt-4o',
+     * });
+     * ```
+     */
+    create(body, options) {
+        return this._client.post('/assistants', {
+            body,
+            ...options,
+            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+        });
+    }
+    /**
+     * Retrieves an assistant.
+     *
+     * @example
+     * ```ts
+     * const assistant = await client.beta.assistants.retrieve(
+     *   'assistant_id',
+     * );
+     * ```
+     */
+    retrieve(assistantId, options) {
+        return this._client.get(`/assistants/${assistantId}`, {
+            ...options,
+            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+        });
+    }
+    /**
+     * Modifies an assistant.
+     *
+     * @example
+     * ```ts
+     * const assistant = await client.beta.assistants.update(
+     *   'assistant_id',
+     * );
+     * ```
+     */
+    update(assistantId, body, options) {
+        return this._client.post(`/assistants/${assistantId}`, {
+            body,
+            ...options,
+            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+        });
+    }
+    list(query = {}, options) {
+        if ((0, core_1.isRequestOptions)(query)) {
+            return this.list({}, query);
+        }
+        return this._client.getAPIList('/assistants', AssistantsPage, {
+            query,
+            ...options,
+            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+        });
+    }
+    /**
+     * Delete an assistant.
+     *
+     * @example
+     * ```ts
+     * const assistantDeleted = await client.beta.assistants.del(
+     *   'assistant_id',
+     * );
+     * ```
+     */
+    del(assistantId, options) {
+        return this._client.delete(`/assistants/${assistantId}`, {
+            ...options,
+            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+        });
+    }
+}
+exports.Assistants = Assistants;
+class AssistantsPage extends pagination_1.CursorPage {
+}
+exports.AssistantsPage = AssistantsPage;
+Assistants.AssistantsPage = AssistantsPage;
+//# sourceMappingURL=assistants.js.map
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+  uploadId: 920982
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+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../resource.mjs";
+import { isRequestOptions } from "../../core.mjs";
+import { CursorPage } from "../../pagination.mjs";
+import { AssistantStream } from "../../lib/AssistantStream.mjs";
+export class Assistants extends APIResource {
+    /**
+     * Create an assistant with a model and instructions.
+     *
+     * @example
+     * ```ts
+     * const assistant = await client.beta.assistants.create({
+     *   model: 'gpt-4o',
+     * });
+     * ```
+     */
+    create(body, options) {
+        return this._client.post('/assistants', {
+            body,
+            ...options,
+            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+        });
+    }
+    /**
+     * Retrieves an assistant.
+     *
+     * @example
+     * ```ts
+     * const assistant = await client.beta.assistants.retrieve(
+     *   'assistant_id',
+     * );
+     * ```
+     */
+    retrieve(assistantId, options) {
+        return this._client.get(`/assistants/${assistantId}`, {
+            ...options,
+            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+        });
+    }
+    /**
+     * Modifies an assistant.
+     *
+     * @example
+     * ```ts
+     * const assistant = await client.beta.assistants.update(
+     *   'assistant_id',
+     * );
+     * ```
+     */
+    update(assistantId, body, options) {
+        return this._client.post(`/assistants/${assistantId}`, {
+            body,
+            ...options,
+            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+        });
+    }
+    list(query = {}, options) {
+        if (isRequestOptions(query)) {
+            return this.list({}, query);
+        }
+        return this._client.getAPIList('/assistants', AssistantsPage, {
+            query,
+            ...options,
+            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+        });
+    }
+    /**
+     * Delete an assistant.
+     *
+     * @example
+     * ```ts
+     * const assistantDeleted = await client.beta.assistants.del(
+     *   'assistant_id',
+     * );
+     * ```
+     */
+    del(assistantId, options) {
+        return this._client.delete(`/assistants/${assistantId}`, {
+            ...options,
+            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
+        });
+    }
+}
+export class AssistantsPage extends CursorPage {
+}
+Assistants.AssistantsPage = AssistantsPage;
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/resources/beta/assistants.mjs
+  uploadId: 920982
@@ -0,0 +1,22 @@
+import { APIResource } from "../../resource.js";
+import * as AssistantsAPI from "./assistants.js";
+import * as ChatAPI from "./chat/chat.js";
+import { Assistant, AssistantCreateParams, AssistantDeleted, AssistantListParams, AssistantStreamEvent, AssistantTool, AssistantUpdateParams, Assistants, AssistantsPage, CodeInterpreterTool, FileSearchTool, FunctionTool, MessageStreamEvent, RunStepStreamEvent, RunStreamEvent, ThreadStreamEvent } from "./assistants.js";
+import * as RealtimeAPI from "./realtime/realtime.js";
+import { ConversationCreatedEvent, ConversationItem, ConversationItemContent, ConversationItemCreateEvent, ConversationItemCreatedEvent, ConversationItemDeleteEvent, ConversationItemDeletedEvent, ConversationItemInputAudioTranscriptionCompletedEvent, ConversationItemInputAudioTranscriptionDeltaEvent, ConversationItemInputAudioTranscriptionFailedEvent, ConversationItemRetrieveEvent, ConversationItemTruncateEvent, ConversationItemTruncatedEvent, ConversationItemWithReference, ErrorEvent, InputAudioBufferAppendEvent, InputAudioBufferClearEvent, InputAudioBufferClearedEvent, InputAudioBufferCommitEvent, InputAudioBufferCommittedEvent, InputAudioBufferSpeechStartedEvent, InputAudioBufferSpeechStoppedEvent, RateLimitsUpdatedEvent, Realtime, RealtimeClientEvent, RealtimeResponse, RealtimeResponseStatus, RealtimeResponseUsage, RealtimeServerEvent, ResponseAudioDeltaEvent, ResponseAudioDoneEvent, ResponseAudioTranscriptDeltaEvent, ResponseAudioTranscriptDoneEvent, ResponseCancelEvent, ResponseContentPartAddedEvent, ResponseContentPartDoneEvent, ResponseCreateEvent, ResponseCreatedEvent, ResponseDoneEvent, ResponseFunctionCallArgumentsDeltaEvent, ResponseFunctionCallArgumentsDoneEvent, ResponseOutputItemAddedEvent, ResponseOutputItemDoneEvent, ResponseTextDeltaEvent, ResponseTextDoneEvent, SessionCreatedEvent, SessionUpdateEvent, SessionUpdatedEvent, TranscriptionSessionUpdate, TranscriptionSessionUpdatedEvent } from "./realtime/realtime.js";
+import * as ThreadsAPI from "./threads/threads.js";
+import { AssistantResponseFormatOption, AssistantToolChoice, AssistantToolChoiceFunction, AssistantToolChoiceOption, Thread, ThreadCreateAndRunParams, ThreadCreateAndRunParamsNonStreaming, ThreadCreateAndRunParamsStreaming, ThreadCreateAndRunPollParams, ThreadCreateAndRunStreamParams, ThreadCreateParams, ThreadDeleted, ThreadUpdateParams, Threads } from "./threads/threads.js";
+import { Chat } from "./chat/chat.js";
+export declare class Beta extends APIResource {
+    realtime: RealtimeAPI.Realtime;
+    chat: ChatAPI.Chat;
+    assistants: AssistantsAPI.Assistants;
+    threads: ThreadsAPI.Threads;
+}
+export declare namespace Beta {
+    export { Realtime as Realtime, type ConversationCreatedEvent as ConversationCreatedEvent, type ConversationItem as ConversationItem, type ConversationItemContent as ConversationItemContent, type ConversationItemCreateEvent as ConversationItemCreateEvent, type ConversationItemCreatedEvent as ConversationItemCreatedEvent, type ConversationItemDeleteEvent as ConversationItemDeleteEvent, type ConversationItemDeletedEvent as ConversationItemDeletedEvent, type ConversationItemInputAudioTranscriptionCompletedEvent as ConversationItemInputAudioTranscriptionCompletedEvent, type ConversationItemInputAudioTranscriptionDeltaEvent as ConversationItemInputAudioTranscriptionDeltaEvent, type ConversationItemInputAudioTranscriptionFailedEvent as ConversationItemInputAudioTranscriptionFailedEvent, type ConversationItemRetrieveEvent as ConversationItemRetrieveEvent, type ConversationItemTruncateEvent as ConversationItemTruncateEvent, type ConversationItemTruncatedEvent as ConversationItemTruncatedEvent, type ConversationItemWithReference as ConversationItemWithReference, type ErrorEvent as ErrorEvent, type InputAudioBufferAppendEvent as InputAudioBufferAppendEvent, type InputAudioBufferClearEvent as InputAudioBufferClearEvent, type InputAudioBufferClearedEvent as InputAudioBufferClearedEvent, type InputAudioBufferCommitEvent as InputAudioBufferCommitEvent, type InputAudioBufferCommittedEvent as InputAudioBufferCommittedEvent, type InputAudioBufferSpeechStartedEvent as InputAudioBufferSpeechStartedEvent, type InputAudioBufferSpeechStoppedEvent as InputAudioBufferSpeechStoppedEvent, type RateLimitsUpdatedEvent as RateLimitsUpdatedEvent, type RealtimeClientEvent as RealtimeClientEvent, type RealtimeResponse as RealtimeResponse, type RealtimeResponseStatus as RealtimeResponseStatus, type RealtimeResponseUsage as RealtimeResponseUsage, type RealtimeServerEvent as RealtimeServerEvent, type ResponseAudioDeltaEvent as ResponseAudioDeltaEvent, type ResponseAudioDoneEvent as ResponseAudioDoneEvent, type ResponseAudioTranscriptDeltaEvent as ResponseAudioTranscriptDeltaEvent, type ResponseAudioTranscriptDoneEvent as ResponseAudioTranscriptDoneEvent, type ResponseCancelEvent as ResponseCancelEvent, type ResponseContentPartAddedEvent as ResponseContentPartAddedEvent, type ResponseContentPartDoneEvent as ResponseContentPartDoneEvent, type ResponseCreateEvent as ResponseCreateEvent, type ResponseCreatedEvent as ResponseCreatedEvent, type ResponseDoneEvent as ResponseDoneEvent, type ResponseFunctionCallArgumentsDeltaEvent as ResponseFunctionCallArgumentsDeltaEvent, type ResponseFunctionCallArgumentsDoneEvent as ResponseFunctionCallArgumentsDoneEvent, type ResponseOutputItemAddedEvent as ResponseOutputItemAddedEvent, type ResponseOutputItemDoneEvent as ResponseOutputItemDoneEvent, type ResponseTextDeltaEvent as ResponseTextDeltaEvent, type ResponseTextDoneEvent as ResponseTextDoneEvent, type SessionCreatedEvent as SessionCreatedEvent, type SessionUpdateEvent as SessionUpdateEvent, type SessionUpdatedEvent as SessionUpdatedEvent, type TranscriptionSessionUpdate as TranscriptionSessionUpdate, type TranscriptionSessionUpdatedEvent as TranscriptionSessionUpdatedEvent, };
+    export { Chat };
+    export { Assistants as Assistants, type Assistant as Assistant, type AssistantDeleted as AssistantDeleted, type AssistantStreamEvent as AssistantStreamEvent, type AssistantTool as AssistantTool, type CodeInterpreterTool as CodeInterpreterTool, type FileSearchTool as FileSearchTool, type FunctionTool as FunctionTool, type MessageStreamEvent as MessageStreamEvent, type RunStepStreamEvent as RunStepStreamEvent, type RunStreamEvent as RunStreamEvent, type ThreadStreamEvent as ThreadStreamEvent, AssistantsPage as AssistantsPage, type AssistantCreateParams as AssistantCreateParams, type AssistantUpdateParams as AssistantUpdateParams, type AssistantListParams as AssistantListParams, };
+    export { Threads as Threads, type AssistantResponseFormatOption as AssistantResponseFormatOption, type AssistantToolChoice as AssistantToolChoice, type AssistantToolChoiceFunction as AssistantToolChoiceFunction, type AssistantToolChoiceOption as AssistantToolChoiceOption, type Thread as Thread, type ThreadDeleted as ThreadDeleted, type ThreadCreateParams as ThreadCreateParams, type ThreadUpdateParams as ThreadUpdateParams, type ThreadCreateAndRunParams as ThreadCreateAndRunParams, type ThreadCreateAndRunParamsNonStreaming as ThreadCreateAndRunParamsNonStreaming, type ThreadCreateAndRunParamsStreaming as ThreadCreateAndRunParamsStreaming, type ThreadCreateAndRunPollParams, type ThreadCreateAndRunStreamParams, };
+}
+//# sourceMappingURL=beta.d.ts.map
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/resources/beta/beta.d.ts
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+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+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 __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
+    Object.defineProperty(o, "default", { enumerable: true, value: v });
+}) : function(o, v) {
+    o["default"] = v;
+});
+var __importStar = (this && this.__importStar) || function (mod) {
+    if (mod && mod.__esModule) return mod;
+    var result = {};
+    if (mod != null) for (var k in mod) if (k !== "default" && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);
+    __setModuleDefault(result, mod);
+    return result;
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Beta = void 0;
+const resource_1 = require("../../resource.js");
+const AssistantsAPI = __importStar(require("./assistants.js"));
+const ChatAPI = __importStar(require("./chat/chat.js"));
+const assistants_1 = require("./assistants.js");
+const RealtimeAPI = __importStar(require("./realtime/realtime.js"));
+const realtime_1 = require("./realtime/realtime.js");
+const ThreadsAPI = __importStar(require("./threads/threads.js"));
+const threads_1 = require("./threads/threads.js");
+const chat_1 = require("./chat/chat.js");
+class Beta extends resource_1.APIResource {
+    constructor() {
+        super(...arguments);
+        this.realtime = new RealtimeAPI.Realtime(this._client);
+        this.chat = new ChatAPI.Chat(this._client);
+        this.assistants = new AssistantsAPI.Assistants(this._client);
+        this.threads = new ThreadsAPI.Threads(this._client);
+    }
+}
+exports.Beta = Beta;
+Beta.Realtime = realtime_1.Realtime;
+Beta.Assistants = assistants_1.Assistants;
+Beta.AssistantsPage = assistants_1.AssistantsPage;
+Beta.Threads = threads_1.Threads;
+//# sourceMappingURL=beta.js.map
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/resources/beta/beta.js
+  uploadId: 920982
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+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../resource.mjs";
+import * as AssistantsAPI from "./assistants.mjs";
+import * as ChatAPI from "./chat/chat.mjs";
+import { Assistants, AssistantsPage, } from "./assistants.mjs";
+import * as RealtimeAPI from "./realtime/realtime.mjs";
+import { Realtime, } from "./realtime/realtime.mjs";
+import * as ThreadsAPI from "./threads/threads.mjs";
+import { Threads, } from "./threads/threads.mjs";
+import { Chat } from "./chat/chat.mjs";
+export class Beta extends APIResource {
+    constructor() {
+        super(...arguments);
+        this.realtime = new RealtimeAPI.Realtime(this._client);
+        this.chat = new ChatAPI.Chat(this._client);
+        this.assistants = new AssistantsAPI.Assistants(this._client);
+        this.threads = new ThreadsAPI.Threads(this._client);
+    }
+}
+Beta.Realtime = Realtime;
+Beta.Assistants = Assistants;
+Beta.AssistantsPage = AssistantsPage;
+Beta.Threads = Threads;
+//# sourceMappingURL=beta.mjs.map
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+  packageVersion: 1.2.23
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+import { APIResource } from "../../../resource.js";
+import * as CompletionsAPI from "./completions.js";
+export declare class Chat extends APIResource {
+    completions: CompletionsAPI.Completions;
+}
+export declare namespace Chat {
+    export import Completions = CompletionsAPI.Completions;
+}
+//# sourceMappingURL=chat.d.ts.map
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+{"version":3,"file":"chat.d.ts","sourceRoot":"","sources":["../../../src/resources/beta/chat/chat.ts"],"names":[],"mappings":"AAEA,OAAO,EAAE,WAAW,EAAE,MAAM,mBAAmB,CAAC;AAChD,OAAO,KAAK,cAAc,MAAM,eAAe,CAAC;AAEhD,qBAAa,IAAK,SAAQ,WAAW;IACnC,WAAW,EAAE,cAAc,CAAC,WAAW,CAAgD;CACxF;AAED,yBAAiB,IAAI,CAAC;IACpB,MAAM,QAAQ,WAAW,GAAG,cAAc,CAAC,WAAW,CAAC;CACxD"}
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+  packageVersion: 1.2.23
+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/resources/beta/chat/chat.d.ts.map
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+  packageVersion: 1.2.23
+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/resources/beta/chat/chat.d.ts
+  uploadId: 920982
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+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+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 __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
+    Object.defineProperty(o, "default", { enumerable: true, value: v });
+}) : function(o, v) {
+    o["default"] = v;
+});
+var __importStar = (this && this.__importStar) || function (mod) {
+    if (mod && mod.__esModule) return mod;
+    var result = {};
+    if (mod != null) for (var k in mod) if (k !== "default" && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);
+    __setModuleDefault(result, mod);
+    return result;
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Chat = void 0;
+const resource_1 = require("../../../resource.js");
+const CompletionsAPI = __importStar(require("./completions.js"));
+class Chat extends resource_1.APIResource {
+    constructor() {
+        super(...arguments);
+        this.completions = new CompletionsAPI.Completions(this._client);
+    }
+}
+exports.Chat = Chat;
+(function (Chat) {
+    Chat.Completions = CompletionsAPI.Completions;
+})(Chat = exports.Chat || (exports.Chat = {}));
+//# sourceMappingURL=chat.js.map
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+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../../resource.mjs";
+import * as CompletionsAPI from "./completions.mjs";
+export class Chat extends APIResource {
+    constructor() {
+        super(...arguments);
+        this.completions = new CompletionsAPI.Completions(this._client);
+    }
+}
+(function (Chat) {
+    Chat.Completions = CompletionsAPI.Completions;
+})(Chat || (Chat = {}));
+//# sourceMappingURL=chat.mjs.map
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/resources/beta/chat/chat.mjs
+  uploadId: 920982
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+import * as Core from "../../../core.js";
+import { APIResource } from "../../../resource.js";
+import { ChatCompletionRunner, ChatCompletionFunctionRunnerParams } from "../../../lib/ChatCompletionRunner.js";
+import { ChatCompletionStreamingRunner, ChatCompletionStreamingFunctionRunnerParams } from "../../../lib/ChatCompletionStreamingRunner.js";
+import { BaseFunctionsArgs } from "../../../lib/RunnableFunction.js";
+import { RunnerOptions } from "../../../lib/AbstractChatCompletionRunner.js";
+import { ChatCompletionToolRunnerParams } from "../../../lib/ChatCompletionRunner.js";
+import { ChatCompletionStreamingToolRunnerParams } from "../../../lib/ChatCompletionStreamingRunner.js";
+import { ChatCompletionStream, type ChatCompletionStreamParams } from "../../../lib/ChatCompletionStream.js";
+import { ChatCompletion, ChatCompletionCreateParamsNonStreaming, ChatCompletionMessage, ChatCompletionMessageToolCall } from "../../chat/completions.js";
+import { ExtractParsedContentFromParams } from "../../../lib/parser.js";
+export { ChatCompletionStreamingRunner, type ChatCompletionStreamingFunctionRunnerParams, } from "../../../lib/ChatCompletionStreamingRunner.js";
+export { type RunnableFunction, type RunnableFunctions, type RunnableFunctionWithParse, type RunnableFunctionWithoutParse, ParsingFunction, ParsingToolFunction, } from "../../../lib/RunnableFunction.js";
+export { type ChatCompletionToolRunnerParams } from "../../../lib/ChatCompletionRunner.js";
+export { type ChatCompletionStreamingToolRunnerParams } from "../../../lib/ChatCompletionStreamingRunner.js";
+export { ChatCompletionStream, type ChatCompletionStreamParams } from "../../../lib/ChatCompletionStream.js";
+export { ChatCompletionRunner, type ChatCompletionFunctionRunnerParams, } from "../../../lib/ChatCompletionRunner.js";
+export interface ParsedFunction extends ChatCompletionMessageToolCall.Function {
+    parsed_arguments?: unknown;
+}
+export interface ParsedFunctionToolCall extends ChatCompletionMessageToolCall {
+    function: ParsedFunction;
+}
+export interface ParsedChatCompletionMessage<ParsedT> extends ChatCompletionMessage {
+    parsed: ParsedT | null;
+    tool_calls?: Array<ParsedFunctionToolCall>;
+}
+export interface ParsedChoice<ParsedT> extends ChatCompletion.Choice {
+    message: ParsedChatCompletionMessage<ParsedT>;
+}
+export interface ParsedChatCompletion<ParsedT> extends ChatCompletion {
+    choices: Array<ParsedChoice<ParsedT>>;
+}
+export type ChatCompletionParseParams = ChatCompletionCreateParamsNonStreaming;
+export declare class Completions extends APIResource {
+    parse<Params extends ChatCompletionParseParams, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: Core.RequestOptions): Core.APIPromise<ParsedChatCompletion<ParsedT>>;
+    /**
+     * @deprecated - use `runTools` instead.
+     */
+    runFunctions<FunctionsArgs extends BaseFunctionsArgs>(body: ChatCompletionFunctionRunnerParams<FunctionsArgs>, options?: Core.RequestOptions): ChatCompletionRunner<null>;
+    runFunctions<FunctionsArgs extends BaseFunctionsArgs>(body: ChatCompletionStreamingFunctionRunnerParams<FunctionsArgs>, options?: Core.RequestOptions): ChatCompletionStreamingRunner<null>;
+    /**
+     * A convenience helper for using tool calls with the /chat/completions endpoint
+     * which automatically calls the JavaScript functions you provide and sends their
+     * results back to the /chat/completions endpoint, looping as long as the model
+     * requests function calls.
+     *
+     * For more details and examples, see
+     * [the docs](https://github.com/openai/openai-node#automated-function-calls)
+     */
+    runTools<Params extends ChatCompletionToolRunnerParams<any>, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: RunnerOptions): ChatCompletionRunner<ParsedT>;
+    runTools<Params extends ChatCompletionStreamingToolRunnerParams<any>, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: RunnerOptions): ChatCompletionStreamingRunner<ParsedT>;
+    /**
+     * Creates a chat completion stream
+     */
+    stream<Params extends ChatCompletionStreamParams, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: Core.RequestOptions): ChatCompletionStream<ParsedT>;
+}
+//# sourceMappingURL=completions.d.ts.map
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/resources/beta/chat/completions.d.ts
+  uploadId: 920982
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+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Completions = exports.ChatCompletionRunner = exports.ChatCompletionStream = exports.ParsingToolFunction = exports.ParsingFunction = exports.ChatCompletionStreamingRunner = void 0;
+const resource_1 = require("../../../resource.js");
+const ChatCompletionRunner_1 = require("../../../lib/ChatCompletionRunner.js");
+const ChatCompletionStreamingRunner_1 = require("../../../lib/ChatCompletionStreamingRunner.js");
+const ChatCompletionStream_1 = require("../../../lib/ChatCompletionStream.js");
+const parser_1 = require("../../../lib/parser.js");
+var ChatCompletionStreamingRunner_2 = require("../../../lib/ChatCompletionStreamingRunner.js");
+Object.defineProperty(exports, "ChatCompletionStreamingRunner", { enumerable: true, get: function () { return ChatCompletionStreamingRunner_2.ChatCompletionStreamingRunner; } });
+var RunnableFunction_1 = require("../../../lib/RunnableFunction.js");
+Object.defineProperty(exports, "ParsingFunction", { enumerable: true, get: function () { return RunnableFunction_1.ParsingFunction; } });
+Object.defineProperty(exports, "ParsingToolFunction", { enumerable: true, get: function () { return RunnableFunction_1.ParsingToolFunction; } });
+var ChatCompletionStream_2 = require("../../../lib/ChatCompletionStream.js");
+Object.defineProperty(exports, "ChatCompletionStream", { enumerable: true, get: function () { return ChatCompletionStream_2.ChatCompletionStream; } });
+var ChatCompletionRunner_2 = require("../../../lib/ChatCompletionRunner.js");
+Object.defineProperty(exports, "ChatCompletionRunner", { enumerable: true, get: function () { return ChatCompletionRunner_2.ChatCompletionRunner; } });
+class Completions extends resource_1.APIResource {
+    parse(body, options) {
+        (0, parser_1.validateInputTools)(body.tools);
+        return this._client.chat.completions
+            .create(body, {
+            ...options,
+            headers: {
+                ...options?.headers,
+                'X-Stainless-Helper-Method': 'beta.chat.completions.parse',
+            },
+        })
+            ._thenUnwrap((completion) => (0, parser_1.parseChatCompletion)(completion, body));
+    }
+    runFunctions(body, options) {
+        if (body.stream) {
+            return ChatCompletionStreamingRunner_1.ChatCompletionStreamingRunner.runFunctions(this._client, body, options);
+        }
+        return ChatCompletionRunner_1.ChatCompletionRunner.runFunctions(this._client, body, options);
+    }
+    runTools(body, options) {
+        if (body.stream) {
+            return ChatCompletionStreamingRunner_1.ChatCompletionStreamingRunner.runTools(this._client, body, options);
+        }
+        return ChatCompletionRunner_1.ChatCompletionRunner.runTools(this._client, body, options);
+    }
+    /**
+     * Creates a chat completion stream
+     */
+    stream(body, options) {
+        return ChatCompletionStream_1.ChatCompletionStream.createChatCompletion(this._client, body, options);
+    }
+}
+exports.Completions = Completions;
+//# sourceMappingURL=completions.js.map
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/resources/beta/chat/completions.js.map
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+  assetPath: Assets/Synaptic AI Pro/MCPServer/node_modules/openai/resources/beta/chat/completions.js
+  uploadId: 920982
@@ -0,0 +1,43 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../../resource.mjs";
+import { ChatCompletionRunner } from "../../../lib/ChatCompletionRunner.mjs";
+import { ChatCompletionStreamingRunner, } from "../../../lib/ChatCompletionStreamingRunner.mjs";
+import { ChatCompletionStream } from "../../../lib/ChatCompletionStream.mjs";
+import { parseChatCompletion, validateInputTools } from "../../../lib/parser.mjs";
+export { ChatCompletionStreamingRunner, } from "../../../lib/ChatCompletionStreamingRunner.mjs";
+export { ParsingFunction, ParsingToolFunction, } from "../../../lib/RunnableFunction.mjs";
+export { ChatCompletionStream } from "../../../lib/ChatCompletionStream.mjs";
+export { ChatCompletionRunner, } from "../../../lib/ChatCompletionRunner.mjs";
+export class Completions extends APIResource {
+    parse(body, options) {
+        validateInputTools(body.tools);
+        return this._client.chat.completions
+            .create(body, {
+            ...options,
+            headers: {
+                ...options?.headers,
+                'X-Stainless-Helper-Method': 'beta.chat.completions.parse',
+            },
+        })
+            ._thenUnwrap((completion) => parseChatCompletion(completion, body));
+    }
+    runFunctions(body, options) {
+        if (body.stream) {
+            return ChatCompletionStreamingRunner.runFunctions(this._client, body, options);
+        }
+        return ChatCompletionRunner.runFunctions(this._client, body, options);
+    }
+    runTools(body, options) {
+        if (body.stream) {
+            return ChatCompletionStreamingRunner.runTools(this._client, body, options);
+        }
+        return ChatCompletionRunner.runTools(this._client, body, options);
+    }
+    /**
+     * Creates a chat completion stream
+     */
+    stream(body, options) {
+        return ChatCompletionStream.createChatCompletion(this._client, body, options);
+    }
+}
+//# sourceMappingURL=completions.mjs.map
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+export { Chat } from "./chat.js";
+export { Completions } from "./completions.js";
+//# sourceMappingURL=index.d.ts.map
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+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Completions = exports.Chat = void 0;
+var chat_1 = require("./chat.js");
+Object.defineProperty(exports, "Chat", { enumerable: true, get: function () { return chat_1.Chat; } });
+var completions_1 = require("./completions.js");
+Object.defineProperty(exports, "Completions", { enumerable: true, get: function () { return completions_1.Completions; } });
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+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+export { Chat } from "./chat.mjs";
+export { Completions } from "./completions.mjs";
+//# sourceMappingURL=index.mjs.map
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+{"version":3,"file":"index.mjs","sourceRoot":"","sources":["../../../src/resources/beta/chat/index.ts"],"names":[],"mappings":"AAAA,sFAAsF;OAE/E,EAAE,IAAI,EAAE;OACR,EAAE,WAAW,EAAE"}
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+export { AssistantsPage, Assistants, type Assistant, type AssistantDeleted, type AssistantStreamEvent, type AssistantTool, type CodeInterpreterTool, type FileSearchTool, type FunctionTool, type MessageStreamEvent, type RunStepStreamEvent, type RunStreamEvent, type ThreadStreamEvent, type AssistantCreateParams, type AssistantUpdateParams, type AssistantListParams, } from "./assistants.js";
+export { Beta } from "./beta.js";
+export { Realtime } from "./realtime/index.js";
+export { Chat } from "./chat/index.js";
+export { Threads, type AssistantResponseFormatOption, type AssistantToolChoice, type AssistantToolChoiceFunction, type AssistantToolChoiceOption, type Thread, type ThreadDeleted, type ThreadCreateParams, type ThreadUpdateParams, type ThreadCreateAndRunParams, type ThreadCreateAndRunParamsNonStreaming, type ThreadCreateAndRunParamsStreaming, type ThreadCreateAndRunPollParams, type ThreadCreateAndRunStreamParams, } from "./threads/index.js";
+//# sourceMappingURL=index.d.ts.map
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+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Threads = exports.Chat = exports.Realtime = exports.Beta = exports.Assistants = exports.AssistantsPage = void 0;
+var assistants_1 = require("./assistants.js");
+Object.defineProperty(exports, "AssistantsPage", { enumerable: true, get: function () { return assistants_1.AssistantsPage; } });
+Object.defineProperty(exports, "Assistants", { enumerable: true, get: function () { return assistants_1.Assistants; } });
+var beta_1 = require("./beta.js");
+Object.defineProperty(exports, "Beta", { enumerable: true, get: function () { return beta_1.Beta; } });
+var index_1 = require("./realtime/index.js");
+Object.defineProperty(exports, "Realtime", { enumerable: true, get: function () { return index_1.Realtime; } });
+var index_2 = require("./chat/index.js");
+Object.defineProperty(exports, "Chat", { enumerable: true, get: function () { return index_2.Chat; } });
+var index_3 = require("./threads/index.js");
+Object.defineProperty(exports, "Threads", { enumerable: true, get: function () { return index_3.Threads; } });
+//# sourceMappingURL=index.js.map
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+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+export { AssistantsPage, Assistants, } from "./assistants.mjs";
+export { Beta } from "./beta.mjs";
+export { Realtime } from "./realtime/index.mjs";
+export { Chat } from "./chat/index.mjs";
+export { Threads, } from "./threads/index.mjs";
+//# sourceMappingURL=index.mjs.map
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+export { Realtime } from "./realtime.js";
+export { Sessions, type Session, type SessionCreateResponse, type SessionCreateParams } from "./sessions.js";
+export { TranscriptionSessions, type TranscriptionSession, type TranscriptionSessionCreateParams, } from "./transcription-sessions.js";
+//# sourceMappingURL=index.d.ts.map
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+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.TranscriptionSessions = exports.Sessions = exports.Realtime = void 0;
+var realtime_1 = require("./realtime.js");
+Object.defineProperty(exports, "Realtime", { enumerable: true, get: function () { return realtime_1.Realtime; } });
+var sessions_1 = require("./sessions.js");
+Object.defineProperty(exports, "Sessions", { enumerable: true, get: function () { return sessions_1.Sessions; } });
+var transcription_sessions_1 = require("./transcription-sessions.js");
+Object.defineProperty(exports, "TranscriptionSessions", { enumerable: true, get: function () { return transcription_sessions_1.TranscriptionSessions; } });
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+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+export { Realtime } from "./realtime.mjs";
+export { Sessions } from "./sessions.mjs";
+export { TranscriptionSessions, } from "./transcription-sessions.mjs";
+//# sourceMappingURL=index.mjs.map
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+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
+    if (k2 === undefined) k2 = k;
+    var desc = Object.getOwnPropertyDescriptor(m, k);
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+var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
+    Object.defineProperty(o, "default", { enumerable: true, value: v });
+}) : function(o, v) {
+    o["default"] = v;
+});
+var __importStar = (this && this.__importStar) || function (mod) {
+    if (mod && mod.__esModule) return mod;
+    var result = {};
+    if (mod != null) for (var k in mod) if (k !== "default" && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);
+    __setModuleDefault(result, mod);
+    return result;
+};
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Realtime = void 0;
+const resource_1 = require("../../../resource.js");
+const SessionsAPI = __importStar(require("./sessions.js"));
+const sessions_1 = require("./sessions.js");
+const TranscriptionSessionsAPI = __importStar(require("./transcription-sessions.js"));
+const transcription_sessions_1 = require("./transcription-sessions.js");
+class Realtime extends resource_1.APIResource {
+    constructor() {
+        super(...arguments);
+        this.sessions = new SessionsAPI.Sessions(this._client);
+        this.transcriptionSessions = new TranscriptionSessionsAPI.TranscriptionSessions(this._client);
+    }
+}
+exports.Realtime = Realtime;
+Realtime.Sessions = sessions_1.Sessions;
+Realtime.TranscriptionSessions = transcription_sessions_1.TranscriptionSessions;
+//# sourceMappingURL=realtime.js.map
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+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../../resource.mjs";
+import * as SessionsAPI from "./sessions.mjs";
+import { Sessions, } from "./sessions.mjs";
+import * as TranscriptionSessionsAPI from "./transcription-sessions.mjs";
+import { TranscriptionSessions, } from "./transcription-sessions.mjs";
+export class Realtime extends APIResource {
+    constructor() {
+        super(...arguments);
+        this.sessions = new SessionsAPI.Sessions(this._client);
+        this.transcriptionSessions = new TranscriptionSessionsAPI.TranscriptionSessions(this._client);
+    }
+}
+Realtime.Sessions = Sessions;
+Realtime.TranscriptionSessions = TranscriptionSessions;
+//# sourceMappingURL=realtime.mjs.map
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+  uploadId: 920982
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+import { APIResource } from "../../../resource.js";
+import * as Core from "../../../core.js";
+export declare class Sessions extends APIResource {
+    /**
+     * Create an ephemeral API token for use in client-side applications with the
+     * Realtime API. Can be configured with the same session parameters as the
+     * `session.update` client event.
+     *
+     * It responds with a session object, plus a `client_secret` key which contains a
+     * usable ephemeral API token that can be used to authenticate browser clients for
+     * the Realtime API.
+     *
+     * @example
+     * ```ts
+     * const session =
+     *   await client.beta.realtime.sessions.create();
+     * ```
+     */
+    create(body: SessionCreateParams, options?: Core.RequestOptions): Core.APIPromise<SessionCreateResponse>;
+}
+/**
+ * Realtime session object configuration.
+ */
+export interface Session {
+    /**
+     * Unique identifier for the session that looks like `sess_1234567890abcdef`.
+     */
+    id?: string;
+    /**
+     * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For
+     * `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate, single channel
+     * (mono), and little-endian byte order.
+     */
+    input_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw';
+    /**
+     * Configuration for input audio noise reduction. This can be set to `null` to turn
+     * off. Noise reduction filters audio added to the input audio buffer before it is
+     * sent to VAD and the model. Filtering the audio can improve VAD and turn
+     * detection accuracy (reducing false positives) and model performance by improving
+     * perception of the input audio.
+     */
+    input_audio_noise_reduction?: Session.InputAudioNoiseReduction;
+    /**
+     * Configuration for input audio transcription, defaults to off and can be set to
+     * `null` to turn off once on. Input audio transcription is not native to the
+     * model, since the model consumes audio directly. Transcription runs
+     * asynchronously through
+     * [the /audio/transcriptions endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription)
+     * and should be treated as guidance of input audio content rather than precisely
+     * what the model heard. The client can optionally set the language and prompt for
+     * transcription, these offer additional guidance to the transcription service.
+     */
+    input_audio_transcription?: Session.InputAudioTranscription;
+    /**
+     * The default system instructions (i.e. system message) prepended to model calls.
+     * This field allows the client to guide the model on desired responses. The model
+     * can be instructed on response content and format, (e.g. "be extremely succinct",
+     * "act friendly", "here are examples of good responses") and on audio behavior
+     * (e.g. "talk quickly", "inject emotion into your voice", "laugh frequently"). The
+     * instructions are not guaranteed to be followed by the model, but they provide
+     * guidance to the model on the desired behavior.
+     *
+     * Note that the server sets default instructions which will be used if this field
+     * is not set and are visible in the `session.created` event at the start of the
+     * session.
+     */
+    instructions?: string;
+    /**
+     * Maximum number of output tokens for a single assistant response, inclusive of
+     * tool calls. Provide an integer between 1 and 4096 to limit output tokens, or
+     * `inf` for the maximum available tokens for a given model. Defaults to `inf`.
+     */
+    max_response_output_tokens?: number | 'inf';
+    /**
+     * The set of modalities the model can respond with. To disable audio, set this to
+     * ["text"].
+     */
+    modalities?: Array<'text' | 'audio'>;
+    /**
+     * The Realtime model used for this session.
+     */
+    model?: 'gpt-4o-realtime-preview' | 'gpt-4o-realtime-preview-2024-10-01' | 'gpt-4o-realtime-preview-2024-12-17' | 'gpt-4o-mini-realtime-preview' | 'gpt-4o-mini-realtime-preview-2024-12-17';
+    /**
+     * The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`.
+     * For `pcm16`, output audio is sampled at a rate of 24kHz.
+     */
+    output_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw';
+    /**
+     * Sampling temperature for the model, limited to [0.6, 1.2]. For audio models a
+     * temperature of 0.8 is highly recommended for best performance.
+     */
+    temperature?: number;
+    /**
+     * How the model chooses tools. Options are `auto`, `none`, `required`, or specify
+     * a function.
+     */
+    tool_choice?: string;
+    /**
+     * Tools (functions) available to the model.
+     */
+    tools?: Array<Session.Tool>;
+    /**
+     * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be
+     * set to `null` to turn off, in which case the client must manually trigger model
+     * response. Server VAD means that the model will detect the start and end of
+     * speech based on audio volume and respond at the end of user speech. Semantic VAD
+     * is more advanced and uses a turn detection model (in conjuction with VAD) to
+     * semantically estimate whether the user has finished speaking, then dynamically
+     * sets a timeout based on this probability. For example, if user audio trails off
+     * with "uhhm", the model will score a low probability of turn end and wait longer
+     * for the user to continue speaking. This can be useful for more natural
+     * conversations, but may have a higher latency.
+     */
+    turn_detection?: Session.TurnDetection;
+    /**
+     * The voice the model uses to respond. Voice cannot be changed during the session
+     * once the model has responded with audio at least once. Current voice options are
+     * `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`, `shimmer` and `verse`.
+     */
+    voice?: (string & {}) | 'alloy' | 'ash' | 'ballad' | 'coral' | 'echo' | 'fable' | 'onyx' | 'nova' | 'sage' | 'shimmer' | 'verse';
+}
+export declare namespace Session {
+    /**
+     * Configuration for input audio noise reduction. This can be set to `null` to turn
+     * off. Noise reduction filters audio added to the input audio buffer before it is
+     * sent to VAD and the model. Filtering the audio can improve VAD and turn
+     * detection accuracy (reducing false positives) and model performance by improving
+     * perception of the input audio.
+     */
+    interface InputAudioNoiseReduction {
+        /**
+         * Type of noise reduction. `near_field` is for close-talking microphones such as
+         * headphones, `far_field` is for far-field microphones such as laptop or
+         * conference room microphones.
+         */
+        type?: 'near_field' | 'far_field';
+    }
+    /**
+     * Configuration for input audio transcription, defaults to off and can be set to
+     * `null` to turn off once on. Input audio transcription is not native to the
+     * model, since the model consumes audio directly. Transcription runs
+     * asynchronously through
+     * [the /audio/transcriptions endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription)
+     * and should be treated as guidance of input audio content rather than precisely
+     * what the model heard. The client can optionally set the language and prompt for
+     * transcription, these offer additional guidance to the transcription service.
+     */
+    interface InputAudioTranscription {
+        /**
+         * The language of the input audio. Supplying the input language in
+         * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`)
+         * format will improve accuracy and latency.
+         */
+        language?: string;
+        /**
+         * The model to use for transcription, current options are `gpt-4o-transcribe`,
+         * `gpt-4o-mini-transcribe`, and `whisper-1`.
+         */
+        model?: string;
+        /**
+         * An optional text to guide the model's style or continue a previous audio
+         * segment. For `whisper-1`, the
+         * [prompt is a list of keywords](https://platform.openai.com/docs/guides/speech-to-text#prompting).
+         * For `gpt-4o-transcribe` models, the prompt is a free text string, for example
+         * "expect words related to technology".
+         */
+        prompt?: string;
+    }
+    interface Tool {
+        /**
+         * The description of the function, including guidance on when and how to call it,
+         * and guidance about what to tell the user when calling (if anything).
+         */
+        description?: string;
+        /**
+         * The name of the function.
+         */
+        name?: string;
+        /**
+         * Parameters of the function in JSON Schema.
+         */
+        parameters?: unknown;
+        /**
+         * The type of the tool, i.e. `function`.
+         */
+        type?: 'function';
+    }
+    /**
+     * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be
+     * set to `null` to turn off, in which case the client must manually trigger model
+     * response. Server VAD means that the model will detect the start and end of
+     * speech based on audio volume and respond at the end of user speech. Semantic VAD
+     * is more advanced and uses a turn detection model (in conjuction with VAD) to
+     * semantically estimate whether the user has finished speaking, then dynamically
+     * sets a timeout based on this probability. For example, if user audio trails off
+     * with "uhhm", the model will score a low probability of turn end and wait longer
+     * for the user to continue speaking. This can be useful for more natural
+     * conversations, but may have a higher latency.
+     */
+    interface TurnDetection {
+        /**
+         * Whether or not to automatically generate a response when a VAD stop event
+         * occurs.
+         */
+        create_response?: boolean;
+        /**
+         * Used only for `semantic_vad` mode. The eagerness of the model to respond. `low`
+         * will wait longer for the user to continue speaking, `high` will respond more
+         * quickly. `auto` is the default and is equivalent to `medium`.
+         */
+        eagerness?: 'low' | 'medium' | 'high' | 'auto';
+        /**
+         * Whether or not to automatically interrupt any ongoing response with output to
+         * the default conversation (i.e. `conversation` of `auto`) when a VAD start event
+         * occurs.
+         */
+        interrupt_response?: boolean;
+        /**
+         * Used only for `server_vad` mode. Amount of audio to include before the VAD
+         * detected speech (in milliseconds). Defaults to 300ms.
+         */
+        prefix_padding_ms?: number;
+        /**
+         * Used only for `server_vad` mode. Duration of silence to detect speech stop (in
+         * milliseconds). Defaults to 500ms. With shorter values the model will respond
+         * more quickly, but may jump in on short pauses from the user.
+         */
+        silence_duration_ms?: number;
+        /**
+         * Used only for `server_vad` mode. Activation threshold for VAD (0.0 to 1.0), this
+         * defaults to 0.5. A higher threshold will require louder audio to activate the
+         * model, and thus might perform better in noisy environments.
+         */
+        threshold?: number;
+        /**
+         * Type of turn detection.
+         */
+        type?: 'server_vad' | 'semantic_vad';
+    }
+}
+/**
+ * A new Realtime session configuration, with an ephermeral key. Default TTL for
+ * keys is one minute.
+ */
+export interface SessionCreateResponse {
+    /**
+     * Ephemeral key returned by the API.
+     */
+    client_secret: SessionCreateResponse.ClientSecret;
+    /**
+     * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`.
+     */
+    input_audio_format?: string;
+    /**
+     * Configuration for input audio transcription, defaults to off and can be set to
+     * `null` to turn off once on. Input audio transcription is not native to the
+     * model, since the model consumes audio directly. Transcription runs
+     * asynchronously through Whisper and should be treated as rough guidance rather
+     * than the representation understood by the model.
+     */
+    input_audio_transcription?: SessionCreateResponse.InputAudioTranscription;
+    /**
+     * The default system instructions (i.e. system message) prepended to model calls.
+     * This field allows the client to guide the model on desired responses. The model
+     * can be instructed on response content and format, (e.g. "be extremely succinct",
+     * "act friendly", "here are examples of good responses") and on audio behavior
+     * (e.g. "talk quickly", "inject emotion into your voice", "laugh frequently"). The
+     * instructions are not guaranteed to be followed by the model, but they provide
+     * guidance to the model on the desired behavior.
+     *
+     * Note that the server sets default instructions which will be used if this field
+     * is not set and are visible in the `session.created` event at the start of the
+     * session.
+     */
+    instructions?: string;
+    /**
+     * Maximum number of output tokens for a single assistant response, inclusive of
+     * tool calls. Provide an integer between 1 and 4096 to limit output tokens, or
+     * `inf` for the maximum available tokens for a given model. Defaults to `inf`.
+     */
+    max_response_output_tokens?: number | 'inf';
+    /**
+     * The set of modalities the model can respond with. To disable audio, set this to
+     * ["text"].
+     */
+    modalities?: Array<'text' | 'audio'>;
+    /**
+     * The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`.
+     */
+    output_audio_format?: string;
+    /**
+     * Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8.
+     */
+    temperature?: number;
+    /**
+     * How the model chooses tools. Options are `auto`, `none`, `required`, or specify
+     * a function.
+     */
+    tool_choice?: string;
+    /**
+     * Tools (functions) available to the model.
+     */
+    tools?: Array<SessionCreateResponse.Tool>;
+    /**
+     * Configuration for turn detection. Can be set to `null` to turn off. Server VAD
+     * means that the model will detect the start and end of speech based on audio
+     * volume and respond at the end of user speech.
+     */
+    turn_detection?: SessionCreateResponse.TurnDetection;
+    /**
+     * The voice the model uses to respond. Voice cannot be changed during the session
+     * once the model has responded with audio at least once. Current voice options are
+     * `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`, `shimmer` and `verse`.
+     */
+    voice?: (string & {}) | 'alloy' | 'ash' | 'ballad' | 'coral' | 'echo' | 'fable' | 'onyx' | 'nova' | 'sage' | 'shimmer' | 'verse';
+}
+export declare namespace SessionCreateResponse {
+    /**
+     * Ephemeral key returned by the API.
+     */
+    interface ClientSecret {
+        /**
+         * Timestamp for when the token expires. Currently, all tokens expire after one
+         * minute.
+         */
+        expires_at: number;
+        /**
+         * Ephemeral key usable in client environments to authenticate connections to the
+         * Realtime API. Use this in client-side environments rather than a standard API
+         * token, which should only be used server-side.
+         */
+        value: string;
+    }
+    /**
+     * Configuration for input audio transcription, defaults to off and can be set to
+     * `null` to turn off once on. Input audio transcription is not native to the
+     * model, since the model consumes audio directly. Transcription runs
+     * asynchronously through Whisper and should be treated as rough guidance rather
+     * than the representation understood by the model.
+     */
+    interface InputAudioTranscription {
+        /**
+         * The model to use for transcription, `whisper-1` is the only currently supported
+         * model.
+         */
+        model?: string;
+    }
+    interface Tool {
+        /**
+         * The description of the function, including guidance on when and how to call it,
+         * and guidance about what to tell the user when calling (if anything).
+         */
+        description?: string;
+        /**
+         * The name of the function.
+         */
+        name?: string;
+        /**
+         * Parameters of the function in JSON Schema.
+         */
+        parameters?: unknown;
+        /**
+         * The type of the tool, i.e. `function`.
+         */
+        type?: 'function';
+    }
+    /**
+     * Configuration for turn detection. Can be set to `null` to turn off. Server VAD
+     * means that the model will detect the start and end of speech based on audio
+     * volume and respond at the end of user speech.
+     */
+    interface TurnDetection {
+        /**
+         * Amount of audio to include before the VAD detected speech (in milliseconds).
+         * Defaults to 300ms.
+         */
+        prefix_padding_ms?: number;
+        /**
+         * Duration of silence to detect speech stop (in milliseconds). Defaults to 500ms.
+         * With shorter values the model will respond more quickly, but may jump in on
+         * short pauses from the user.
+         */
+        silence_duration_ms?: number;
+        /**
+         * Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A higher
+         * threshold will require louder audio to activate the model, and thus might
+         * perform better in noisy environments.
+         */
+        threshold?: number;
+        /**
+         * Type of turn detection, only `server_vad` is currently supported.
+         */
+        type?: string;
+    }
+}
+export interface SessionCreateParams {
+    /**
+     * Configuration options for the generated client secret.
+     */
+    client_secret?: SessionCreateParams.ClientSecret;
+    /**
+     * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For
+     * `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate, single channel
+     * (mono), and little-endian byte order.
+     */
+    input_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw';
+    /**
+     * Configuration for input audio noise reduction. This can be set to `null` to turn
+     * off. Noise reduction filters audio added to the input audio buffer before it is
+     * sent to VAD and the model. Filtering the audio can improve VAD and turn
+     * detection accuracy (reducing false positives) and model performance by improving
+     * perception of the input audio.
+     */
+    input_audio_noise_reduction?: SessionCreateParams.InputAudioNoiseReduction;
+    /**
+     * Configuration for input audio transcription, defaults to off and can be set to
+     * `null` to turn off once on. Input audio transcription is not native to the
+     * model, since the model consumes audio directly. Transcription runs
+     * asynchronously through
+     * [the /audio/transcriptions endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription)
+     * and should be treated as guidance of input audio content rather than precisely
+     * what the model heard. The client can optionally set the language and prompt for
+     * transcription, these offer additional guidance to the transcription service.
+     */
+    input_audio_transcription?: SessionCreateParams.InputAudioTranscription;
+    /**
+     * The default system instructions (i.e. system message) prepended to model calls.
+     * This field allows the client to guide the model on desired responses. The model
+     * can be instructed on response content and format, (e.g. "be extremely succinct",
+     * "act friendly", "here are examples of good responses") and on audio behavior
+     * (e.g. "talk quickly", "inject emotion into your voice", "laugh frequently"). The
+     * instructions are not guaranteed to be followed by the model, but they provide
+     * guidance to the model on the desired behavior.
+     *
+     * Note that the server sets default instructions which will be used if this field
+     * is not set and are visible in the `session.created` event at the start of the
+     * session.
+     */
+    instructions?: string;
+    /**
+     * Maximum number of output tokens for a single assistant response, inclusive of
+     * tool calls. Provide an integer between 1 and 4096 to limit output tokens, or
+     * `inf` for the maximum available tokens for a given model. Defaults to `inf`.
+     */
+    max_response_output_tokens?: number | 'inf';
+    /**
+     * The set of modalities the model can respond with. To disable audio, set this to
+     * ["text"].
+     */
+    modalities?: Array<'text' | 'audio'>;
+    /**
+     * The Realtime model used for this session.
+     */
+    model?: 'gpt-4o-realtime-preview' | 'gpt-4o-realtime-preview-2024-10-01' | 'gpt-4o-realtime-preview-2024-12-17' | 'gpt-4o-mini-realtime-preview' | 'gpt-4o-mini-realtime-preview-2024-12-17';
+    /**
+     * The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`.
+     * For `pcm16`, output audio is sampled at a rate of 24kHz.
+     */
+    output_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw';
+    /**
+     * Sampling temperature for the model, limited to [0.6, 1.2]. For audio models a
+     * temperature of 0.8 is highly recommended for best performance.
+     */
+    temperature?: number;
+    /**
+     * How the model chooses tools. Options are `auto`, `none`, `required`, or specify
+     * a function.
+     */
+    tool_choice?: string;
+    /**
+     * Tools (functions) available to the model.
+     */
+    tools?: Array<SessionCreateParams.Tool>;
+    /**
+     * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be
+     * set to `null` to turn off, in which case the client must manually trigger model
+     * response. Server VAD means that the model will detect the start and end of
+     * speech based on audio volume and respond at the end of user speech. Semantic VAD
+     * is more advanced and uses a turn detection model (in conjuction with VAD) to
+     * semantically estimate whether the user has finished speaking, then dynamically
+     * sets a timeout based on this probability. For example, if user audio trails off
+     * with "uhhm", the model will score a low probability of turn end and wait longer
+     * for the user to continue speaking. This can be useful for more natural
+     * conversations, but may have a higher latency.
+     */
+    turn_detection?: SessionCreateParams.TurnDetection;
+    /**
+     * The voice the model uses to respond. Voice cannot be changed during the session
+     * once the model has responded with audio at least once. Current voice options are
+     * `alloy`, `ash`, `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage`,
+     * `shimmer`, and `verse`.
+     */
+    voice?: (string & {}) | 'alloy' | 'ash' | 'ballad' | 'coral' | 'echo' | 'fable' | 'onyx' | 'nova' | 'sage' | 'shimmer' | 'verse';
+}
+export declare namespace SessionCreateParams {
+    /**
+     * Configuration options for the generated client secret.
+     */
+    interface ClientSecret {
+        /**
+         * Configuration for the ephemeral token expiration.
+         */
+        expires_at?: ClientSecret.ExpiresAt;
+    }
+    namespace ClientSecret {
+        /**
+         * Configuration for the ephemeral token expiration.
+         */
+        interface ExpiresAt {
+            /**
+             * The anchor point for the ephemeral token expiration. Only `created_at` is
+             * currently supported.
+             */
+            anchor?: 'created_at';
+            /**
+             * The number of seconds from the anchor point to the expiration. Select a value
+             * between `10` and `7200`.
+             */
+            seconds?: number;
+        }
+    }
+    /**
+     * Configuration for input audio noise reduction. This can be set to `null` to turn
+     * off. Noise reduction filters audio added to the input audio buffer before it is
+     * sent to VAD and the model. Filtering the audio can improve VAD and turn
+     * detection accuracy (reducing false positives) and model performance by improving
+     * perception of the input audio.
+     */
+    interface InputAudioNoiseReduction {
+        /**
+         * Type of noise reduction. `near_field` is for close-talking microphones such as
+         * headphones, `far_field` is for far-field microphones such as laptop or
+         * conference room microphones.
+         */
+        type?: 'near_field' | 'far_field';
+    }
+    /**
+     * Configuration for input audio transcription, defaults to off and can be set to
+     * `null` to turn off once on. Input audio transcription is not native to the
+     * model, since the model consumes audio directly. Transcription runs
+     * asynchronously through
+     * [the /audio/transcriptions endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription)
+     * and should be treated as guidance of input audio content rather than precisely
+     * what the model heard. The client can optionally set the language and prompt for
+     * transcription, these offer additional guidance to the transcription service.
+     */
+    interface InputAudioTranscription {
+        /**
+         * The language of the input audio. Supplying the input language in
+         * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`)
+         * format will improve accuracy and latency.
+         */
+        language?: string;
+        /**
+         * The model to use for transcription, current options are `gpt-4o-transcribe`,
+         * `gpt-4o-mini-transcribe`, and `whisper-1`.
+         */
+        model?: string;
+        /**
+         * An optional text to guide the model's style or continue a previous audio
+         * segment. For `whisper-1`, the
+         * [prompt is a list of keywords](https://platform.openai.com/docs/guides/speech-to-text#prompting).
+         * For `gpt-4o-transcribe` models, the prompt is a free text string, for example
+         * "expect words related to technology".
+         */
+        prompt?: string;
+    }
+    interface Tool {
+        /**
+         * The description of the function, including guidance on when and how to call it,
+         * and guidance about what to tell the user when calling (if anything).
+         */
+        description?: string;
+        /**
+         * The name of the function.
+         */
+        name?: string;
+        /**
+         * Parameters of the function in JSON Schema.
+         */
+        parameters?: unknown;
+        /**
+         * The type of the tool, i.e. `function`.
+         */
+        type?: 'function';
+    }
+    /**
+     * Configuration for turn detection, ether Server VAD or Semantic VAD. This can be
+     * set to `null` to turn off, in which case the client must manually trigger model
+     * response. Server VAD means that the model will detect the start and end of
+     * speech based on audio volume and respond at the end of user speech. Semantic VAD
+     * is more advanced and uses a turn detection model (in conjuction with VAD) to
+     * semantically estimate whether the user has finished speaking, then dynamically
+     * sets a timeout based on this probability. For example, if user audio trails off
+     * with "uhhm", the model will score a low probability of turn end and wait longer
+     * for the user to continue speaking. This can be useful for more natural
+     * conversations, but may have a higher latency.
+     */
+    interface TurnDetection {
+        /**
+         * Whether or not to automatically generate a response when a VAD stop event
+         * occurs.
+         */
+        create_response?: boolean;
+        /**
+         * Used only for `semantic_vad` mode. The eagerness of the model to respond. `low`
+         * will wait longer for the user to continue speaking, `high` will respond more
+         * quickly. `auto` is the default and is equivalent to `medium`.
+         */
+        eagerness?: 'low' | 'medium' | 'high' | 'auto';
+        /**
+         * Whether or not to automatically interrupt any ongoing response with output to
+         * the default conversation (i.e. `conversation` of `auto`) when a VAD start event
+         * occurs.
+         */
+        interrupt_response?: boolean;
+        /**
+         * Used only for `server_vad` mode. Amount of audio to include before the VAD
+         * detected speech (in milliseconds). Defaults to 300ms.
+         */
+        prefix_padding_ms?: number;
+        /**
+         * Used only for `server_vad` mode. Duration of silence to detect speech stop (in
+         * milliseconds). Defaults to 500ms. With shorter values the model will respond
+         * more quickly, but may jump in on short pauses from the user.
+         */
+        silence_duration_ms?: number;
+        /**
+         * Used only for `server_vad` mode. Activation threshold for VAD (0.0 to 1.0), this
+         * defaults to 0.5. A higher threshold will require louder audio to activate the
+         * model, and thus might perform better in noisy environments.
+         */
+        threshold?: number;
+        /**
+         * Type of turn detection.
+         */
+        type?: 'server_vad' | 'semantic_vad';
+    }
+}
+export declare namespace Sessions {
+    export { type Session as Session, type SessionCreateResponse as SessionCreateResponse, type SessionCreateParams as SessionCreateParams, };
+}
+//# sourceMappingURL=sessions.d.ts.map
--- a/Show More
+++ b/Show More
				`@@ -0,0 +1 @@`
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				`@@ -0,0 +1 @@`
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				`@@ -0,0 +1 @@`
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