初始化仓库

node_modules/openai/resources/beta/assistants.js

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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.Assistants = void 0;
+const resource_1 = require("../../core/resource.js");
+const pagination_1 = require("../../core/pagination.js");
+const headers_1 = require("../../internal/headers.js");
+const path_1 = require("../../internal/utils/path.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: (0, headers_1.buildHeaders)([{ '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((0, path_1.path) `/assistants/${assistantID}`, {
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Modifies an assistant.
+     *
+     * @example
+     * ```ts
+     * const assistant = await client.beta.assistants.update(
+     *   'assistant_id',
+     * );
+     * ```
+     */
+    update(assistantID, body, options) {
+        return this._client.post((0, path_1.path) `/assistants/${assistantID}`, {
+            body,
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Returns a list of assistants.
+     *
+     * @example
+     * ```ts
+     * // Automatically fetches more pages as needed.
+     * for await (const assistant of client.beta.assistants.list()) {
+     *   // ...
+     * }
+     * ```
+     */
+    list(query = {}, options) {
+        return this._client.getAPIList('/assistants', (pagination_1.CursorPage), {
+            query,
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Delete an assistant.
+     *
+     * @example
+     * ```ts
+     * const assistantDeleted =
+     *   await client.beta.assistants.delete('assistant_id');
+     * ```
+     */
+    delete(assistantID, options) {
+        return this._client.delete((0, path_1.path) `/assistants/${assistantID}`, {
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+}
+exports.Assistants = Assistants;
+//# sourceMappingURL=assistants.js.map

node_modules/openai/resources/beta/assistants.js.map

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node_modules/openai/resources/beta/assistants.mjs

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+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../core/resource.mjs";
+import { CursorPage } from "../../core/pagination.mjs";
+import { buildHeaders } from "../../internal/headers.mjs";
+import { path } from "../../internal/utils/path.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: buildHeaders([{ '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(path `/assistants/${assistantID}`, {
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Modifies an assistant.
+     *
+     * @example
+     * ```ts
+     * const assistant = await client.beta.assistants.update(
+     *   'assistant_id',
+     * );
+     * ```
+     */
+    update(assistantID, body, options) {
+        return this._client.post(path `/assistants/${assistantID}`, {
+            body,
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Returns a list of assistants.
+     *
+     * @example
+     * ```ts
+     * // Automatically fetches more pages as needed.
+     * for await (const assistant of client.beta.assistants.list()) {
+     *   // ...
+     * }
+     * ```
+     */
+    list(query = {}, options) {
+        return this._client.getAPIList('/assistants', (CursorPage), {
+            query,
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Delete an assistant.
+     *
+     * @example
+     * ```ts
+     * const assistantDeleted =
+     *   await client.beta.assistants.delete('assistant_id');
+     * ```
+     */
+    delete(assistantID, options) {
+        return this._client.delete(path `/assistants/${assistantID}`, {
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+}
+//# sourceMappingURL=assistants.mjs.map

node_modules/openai/resources/beta/assistants.mjs.map

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node_modules/openai/resources/beta/beta.d.mts

@@ -0,0 +1,18 @@
+import { APIResource } from "../../core/resource.mjs";
+import * as AssistantsAPI from "./assistants.mjs";
+import { Assistant, AssistantCreateParams, AssistantDeleted, AssistantListParams, AssistantStreamEvent, AssistantTool, AssistantUpdateParams, Assistants, AssistantsPage, CodeInterpreterTool, FileSearchTool, FunctionTool, MessageStreamEvent, RunStepStreamEvent, RunStreamEvent, ThreadStreamEvent } from "./assistants.mjs";
+import * as RealtimeAPI from "./realtime/realtime.mjs";
+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.mjs";
+import * as ThreadsAPI from "./threads/threads.mjs";
+import { AssistantResponseFormatOption, AssistantToolChoice, AssistantToolChoiceFunction, AssistantToolChoiceOption, Thread, ThreadCreateAndRunParams, ThreadCreateAndRunParamsNonStreaming, ThreadCreateAndRunParamsStreaming, ThreadCreateAndRunPollParams, ThreadCreateAndRunStreamParams, ThreadCreateParams, ThreadDeleted, ThreadUpdateParams, Threads } from "./threads/threads.mjs";
+export declare class Beta extends APIResource {
+    realtime: RealtimeAPI.Realtime;
+    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 { 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, type 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.mts.map

node_modules/openai/resources/beta/beta.d.mts.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/beta.d.ts

@@ -0,0 +1,18 @@
+import { APIResource } from "../../core/resource.js";
+import * as AssistantsAPI from "./assistants.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";
+export declare class Beta extends APIResource {
+    realtime: RealtimeAPI.Realtime;
+    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 { 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, type 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

node_modules/openai/resources/beta/beta.d.ts.map

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node_modules/openai/resources/beta/beta.js

@@ -0,0 +1,25 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Beta = void 0;
+const tslib_1 = require("../../internal/tslib.js");
+const resource_1 = require("../../core/resource.js");
+const AssistantsAPI = tslib_1.__importStar(require("./assistants.js"));
+const assistants_1 = require("./assistants.js");
+const RealtimeAPI = tslib_1.__importStar(require("./realtime/realtime.js"));
+const realtime_1 = require("./realtime/realtime.js");
+const ThreadsAPI = tslib_1.__importStar(require("./threads/threads.js"));
+const threads_1 = require("./threads/threads.js");
+class Beta extends resource_1.APIResource {
+    constructor() {
+        super(...arguments);
+        this.realtime = new RealtimeAPI.Realtime(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.Threads = threads_1.Threads;
+//# sourceMappingURL=beta.js.map

node_modules/openai/resources/beta/beta.js.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/beta.mjs

@@ -0,0 +1,20 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../core/resource.mjs";
+import * as AssistantsAPI from "./assistants.mjs";
+import { Assistants, } 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";
+export class Beta extends APIResource {
+    constructor() {
+        super(...arguments);
+        this.realtime = new RealtimeAPI.Realtime(this._client);
+        this.assistants = new AssistantsAPI.Assistants(this._client);
+        this.threads = new ThreadsAPI.Threads(this._client);
+    }
+}
+Beta.Realtime = Realtime;
+Beta.Assistants = Assistants;
+Beta.Threads = Threads;
+//# sourceMappingURL=beta.mjs.map

node_modules/openai/resources/beta/beta.mjs.map

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node_modules/openai/resources/beta/index.d.mts

@@ -0,0 +1,5 @@
+export { 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, type AssistantsPage, } from "./assistants.mjs";
+export { Beta } from "./beta.mjs";
+export { Realtime } from "./realtime/index.mjs";
+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.mjs";
+//# sourceMappingURL=index.d.mts.map

node_modules/openai/resources/beta/index.d.mts.map

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node_modules/openai/resources/beta/index.d.ts

@@ -0,0 +1,5 @@
+export { 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, type AssistantsPage, } from "./assistants.js";
+export { Beta } from "./beta.js";
+export { Realtime } from "./realtime/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

node_modules/openai/resources/beta/index.d.ts.map

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node_modules/openai/resources/beta/index.js

@@ -0,0 +1,13 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Threads = exports.Realtime = exports.Beta = exports.Assistants = void 0;
+var assistants_1 = require("./assistants.js");
+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("./threads/index.js");
+Object.defineProperty(exports, "Threads", { enumerable: true, get: function () { return index_2.Threads; } });
+//# sourceMappingURL=index.js.map

node_modules/openai/resources/beta/index.js.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/index.mjs

@@ -0,0 +1,6 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+export { Assistants, } from "./assistants.mjs";
+export { Beta } from "./beta.mjs";
+export { Realtime } from "./realtime/index.mjs";
+export { Threads, } from "./threads/index.mjs";
+//# sourceMappingURL=index.mjs.map

node_modules/openai/resources/beta/index.mjs.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.mjs","sourceRoot":"","sources":["../../src/resources/beta/index.ts"],"names":[],"mappings":"AAAA,sFAAsF;OAE/E,EACL,UAAU,GAgBX;OACM,EAAE,IAAI,EAAE;OACR,EAAE,QAAQ,EAAE;OACZ,EACL,OAAO,GAcR"}

node_modules/openai/resources/beta/realtime.d.mts

@@ -0,0 +1,2 @@
+export * from "./realtime/index.mjs";
+//# sourceMappingURL=realtime.d.mts.map

node_modules/openai/resources/beta/realtime.d.mts.map

@@ -0,0 +1 @@
+{"version":3,"file":"realtime.d.mts","sourceRoot":"","sources":["../../src/resources/beta/realtime.ts"],"names":[],"mappings":""}

node_modules/openai/resources/beta/realtime.d.ts

@@ -0,0 +1,2 @@
+export * from "./realtime/index.js";
+//# sourceMappingURL=realtime.d.ts.map

node_modules/openai/resources/beta/realtime.d.ts.map

@@ -0,0 +1 @@
+{"version":3,"file":"realtime.d.ts","sourceRoot":"","sources":["../../src/resources/beta/realtime.ts"],"names":[],"mappings":""}

node_modules/openai/resources/beta/realtime.js

@@ -0,0 +1,6 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+const tslib_1 = require("../../internal/tslib.js");
+tslib_1.__exportStar(require("./realtime/index.js"), exports);
+//# sourceMappingURL=realtime.js.map

node_modules/openai/resources/beta/realtime.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"realtime.js","sourceRoot":"","sources":["../../src/resources/beta/realtime.ts"],"names":[],"mappings":";AAAA,sFAAsF;;;AAEtF,8DAAiC"}

node_modules/openai/resources/beta/realtime.mjs

@@ -0,0 +1,3 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+export * from "./realtime/index.mjs";
+//# sourceMappingURL=realtime.mjs.map

node_modules/openai/resources/beta/realtime.mjs.map

@@ -0,0 +1 @@
+{"version":3,"file":"realtime.mjs","sourceRoot":"","sources":["../../src/resources/beta/realtime.ts"],"names":[],"mappings":"AAAA,sFAAsF"}

node_modules/openai/resources/beta/realtime/index.d.mts

@@ -0,0 +1,4 @@
+export { Realtime } from "./realtime.mjs";
+export { Sessions, type Session, type SessionCreateResponse, type SessionCreateParams } from "./sessions.mjs";
+export { TranscriptionSessions, type TranscriptionSession, type TranscriptionSessionCreateParams, } from "./transcription-sessions.mjs";
+//# sourceMappingURL=index.d.mts.map

node_modules/openai/resources/beta/realtime/index.d.mts.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/realtime/index.d.ts

@@ -0,0 +1,4 @@
+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

node_modules/openai/resources/beta/realtime/index.d.ts.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../../../src/resources/beta/realtime/index.ts"],"names":[],"mappings":"OAEO,EAAE,QAAQ,EAAE;OACZ,EAAE,QAAQ,EAAE,KAAK,OAAO,EAAE,KAAK,qBAAqB,EAAE,KAAK,mBAAmB,EAAE;OAChF,EACL,qBAAqB,EACrB,KAAK,oBAAoB,EACzB,KAAK,gCAAgC,GACtC"}

node_modules/openai/resources/beta/realtime/index.js

@@ -0,0 +1,11 @@
+"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; } });
+//# sourceMappingURL=index.js.map

node_modules/openai/resources/beta/realtime/index.js.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/realtime/index.mjs

@@ -0,0 +1,5 @@
+// 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

node_modules/openai/resources/beta/realtime/index.mjs.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/realtime/realtime.js

@@ -0,0 +1,21 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Realtime = void 0;
+const tslib_1 = require("../../../internal/tslib.js");
+const resource_1 = require("../../../core/resource.js");
+const SessionsAPI = tslib_1.__importStar(require("./sessions.js"));
+const sessions_1 = require("./sessions.js");
+const TranscriptionSessionsAPI = tslib_1.__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

node_modules/openai/resources/beta/realtime/realtime.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"realtime.js","sourceRoot":"","sources":["../../../src/resources/beta/realtime/realtime.ts"],"names":[],"mappings":";AAAA,sFAAsF;;;;AAEtF,wDAAqD;AAGrD,mEAA0C;AAC1C,4CAKoB;AACpB,8FAAqE;AACrE,wEAIkC;AAElC,MAAa,QAAS,SAAQ,sBAAW;IAAzC;;QACE,aAAQ,GAAyB,IAAI,WAAW,CAAC,QAAQ,CAAC,IAAI,CAAC,OAAO,CAAC,CAAC;QACxE,0BAAqB,GACnB,IAAI,wBAAwB,CAAC,qBAAqB,CAAC,IAAI,CAAC,OAAO,CAAC,CAAC;IACrE,CAAC;CAAA;AAJD,4BAIC;AA8qFD,QAAQ,CAAC,QAAQ,GAAG,mBAAQ,CAAC;AAC7B,QAAQ,CAAC,qBAAqB,GAAG,8CAAqB,CAAC"}

node_modules/openai/resources/beta/realtime/realtime.mjs

@@ -0,0 +1,16 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../../core/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

node_modules/openai/resources/beta/realtime/realtime.mjs.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/realtime/sessions.d.mts

@@ -0,0 +1,744 @@
+import { APIResource } from "../../../core/resource.mjs";
+import { APIPromise } from "../../../core/api-promise.mjs";
+import { RequestOptions } from "../../../internal/request-options.mjs";
+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?: RequestOptions): 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-realtime-preview-2025-06-03' | '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';
+    /**
+     * The speed of the model's spoken response. 1.0 is the default speed. 0.25 is the
+     * minimum speed. 1.5 is the maximum speed. This value can only be changed in
+     * between model turns, not while a response is in progress.
+     */
+    speed?: number;
+    /**
+     * 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 options for tracing. Set to null to disable tracing. Once tracing
+     * is enabled for a session, the configuration cannot be modified.
+     *
+     * `auto` will create a trace for the session with default values for the workflow
+     * name, group id, and metadata.
+     */
+    tracing?: 'auto' | Session.TracingConfiguration;
+    /**
+     * 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 conjunction 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' | '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';
+    }
+    /**
+     * Granular configuration for tracing.
+     */
+    interface TracingConfiguration {
+        /**
+         * The group id to attach to this trace to enable filtering and grouping in the
+         * traces dashboard.
+         */
+        group_id?: string;
+        /**
+         * The arbitrary metadata to attach to this trace to enable filtering in the traces
+         * dashboard.
+         */
+        metadata?: unknown;
+        /**
+         * The name of the workflow to attach to this trace. This is used to name the trace
+         * in the traces dashboard.
+         */
+        workflow_name?: string;
+    }
+    /**
+     * 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 conjunction 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 ephemeral 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 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;
+    /**
+     * The speed of the model's spoken response. 1.0 is the default speed. 0.25 is the
+     * minimum speed. 1.5 is the maximum speed. This value can only be changed in
+     * between model turns, not while a response is in progress.
+     */
+    speed?: number;
+    /**
+     * 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 options for tracing. Set to null to disable tracing. Once tracing
+     * is enabled for a session, the configuration cannot be modified.
+     *
+     * `auto` will create a trace for the session with default values for the workflow
+     * name, group id, and metadata.
+     */
+    tracing?: 'auto' | SessionCreateResponse.TracingConfiguration;
+    /**
+     * 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' | '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 and should be treated as rough guidance rather than the
+     * representation understood by the model.
+     */
+    interface InputAudioTranscription {
+        /**
+         * The model to use for transcription.
+         */
+        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';
+    }
+    /**
+     * Granular configuration for tracing.
+     */
+    interface TracingConfiguration {
+        /**
+         * The group id to attach to this trace to enable filtering and grouping in the
+         * traces dashboard.
+         */
+        group_id?: string;
+        /**
+         * The arbitrary metadata to attach to this trace to enable filtering in the traces
+         * dashboard.
+         */
+        metadata?: unknown;
+        /**
+         * The name of the workflow to attach to this trace. This is used to name the trace
+         * in the traces dashboard.
+         */
+        workflow_name?: string;
+    }
+    /**
+     * 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-realtime-preview-2025-06-03' | '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';
+    /**
+     * The speed of the model's spoken response. 1.0 is the default speed. 0.25 is the
+     * minimum speed. 1.5 is the maximum speed. This value can only be changed in
+     * between model turns, not while a response is in progress.
+     */
+    speed?: number;
+    /**
+     * 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 options for tracing. Set to null to disable tracing. Once tracing
+     * is enabled for a session, the configuration cannot be modified.
+     *
+     * `auto` will create a trace for the session with default values for the workflow
+     * name, group id, and metadata.
+     */
+    tracing?: 'auto' | SessionCreateParams.TracingConfiguration;
+    /**
+     * 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 conjunction 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`, `sage`, `shimmer`, and `verse`.
+     */
+    voice?: (string & {}) | 'alloy' | 'ash' | 'ballad' | 'coral' | 'echo' | 'sage' | 'shimmer' | 'verse';
+}
+export declare namespace SessionCreateParams {
+    /**
+     * Configuration options for the generated client secret.
+     */
+    interface ClientSecret {
+        /**
+         * Configuration for the ephemeral token expiration.
+         */
+        expires_after?: ClientSecret.ExpiresAfter;
+    }
+    namespace ClientSecret {
+        /**
+         * Configuration for the ephemeral token expiration.
+         */
+        interface ExpiresAfter {
+            /**
+             * 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';
+    }
+    /**
+     * Granular configuration for tracing.
+     */
+    interface TracingConfiguration {
+        /**
+         * The group id to attach to this trace to enable filtering and grouping in the
+         * traces dashboard.
+         */
+        group_id?: string;
+        /**
+         * The arbitrary metadata to attach to this trace to enable filtering in the traces
+         * dashboard.
+         */
+        metadata?: unknown;
+        /**
+         * The name of the workflow to attach to this trace. This is used to name the trace
+         * in the traces dashboard.
+         */
+        workflow_name?: string;
+    }
+    /**
+     * 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 conjunction 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.mts.map

node_modules/openai/resources/beta/realtime/sessions.d.ts

@@ -0,0 +1,744 @@
+import { APIResource } from "../../../core/resource.js";
+import { APIPromise } from "../../../core/api-promise.js";
+import { RequestOptions } from "../../../internal/request-options.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?: RequestOptions): 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-realtime-preview-2025-06-03' | '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';
+    /**
+     * The speed of the model's spoken response. 1.0 is the default speed. 0.25 is the
+     * minimum speed. 1.5 is the maximum speed. This value can only be changed in
+     * between model turns, not while a response is in progress.
+     */
+    speed?: number;
+    /**
+     * 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 options for tracing. Set to null to disable tracing. Once tracing
+     * is enabled for a session, the configuration cannot be modified.
+     *
+     * `auto` will create a trace for the session with default values for the workflow
+     * name, group id, and metadata.
+     */
+    tracing?: 'auto' | Session.TracingConfiguration;
+    /**
+     * 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 conjunction 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' | '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';
+    }
+    /**
+     * Granular configuration for tracing.
+     */
+    interface TracingConfiguration {
+        /**
+         * The group id to attach to this trace to enable filtering and grouping in the
+         * traces dashboard.
+         */
+        group_id?: string;
+        /**
+         * The arbitrary metadata to attach to this trace to enable filtering in the traces
+         * dashboard.
+         */
+        metadata?: unknown;
+        /**
+         * The name of the workflow to attach to this trace. This is used to name the trace
+         * in the traces dashboard.
+         */
+        workflow_name?: string;
+    }
+    /**
+     * 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 conjunction 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 ephemeral 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 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;
+    /**
+     * The speed of the model's spoken response. 1.0 is the default speed. 0.25 is the
+     * minimum speed. 1.5 is the maximum speed. This value can only be changed in
+     * between model turns, not while a response is in progress.
+     */
+    speed?: number;
+    /**
+     * 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 options for tracing. Set to null to disable tracing. Once tracing
+     * is enabled for a session, the configuration cannot be modified.
+     *
+     * `auto` will create a trace for the session with default values for the workflow
+     * name, group id, and metadata.
+     */
+    tracing?: 'auto' | SessionCreateResponse.TracingConfiguration;
+    /**
+     * 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' | '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 and should be treated as rough guidance rather than the
+     * representation understood by the model.
+     */
+    interface InputAudioTranscription {
+        /**
+         * The model to use for transcription.
+         */
+        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';
+    }
+    /**
+     * Granular configuration for tracing.
+     */
+    interface TracingConfiguration {
+        /**
+         * The group id to attach to this trace to enable filtering and grouping in the
+         * traces dashboard.
+         */
+        group_id?: string;
+        /**
+         * The arbitrary metadata to attach to this trace to enable filtering in the traces
+         * dashboard.
+         */
+        metadata?: unknown;
+        /**
+         * The name of the workflow to attach to this trace. This is used to name the trace
+         * in the traces dashboard.
+         */
+        workflow_name?: string;
+    }
+    /**
+     * 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-realtime-preview-2025-06-03' | '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';
+    /**
+     * The speed of the model's spoken response. 1.0 is the default speed. 0.25 is the
+     * minimum speed. 1.5 is the maximum speed. This value can only be changed in
+     * between model turns, not while a response is in progress.
+     */
+    speed?: number;
+    /**
+     * 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 options for tracing. Set to null to disable tracing. Once tracing
+     * is enabled for a session, the configuration cannot be modified.
+     *
+     * `auto` will create a trace for the session with default values for the workflow
+     * name, group id, and metadata.
+     */
+    tracing?: 'auto' | SessionCreateParams.TracingConfiguration;
+    /**
+     * 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 conjunction 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`, `sage`, `shimmer`, and `verse`.
+     */
+    voice?: (string & {}) | 'alloy' | 'ash' | 'ballad' | 'coral' | 'echo' | 'sage' | 'shimmer' | 'verse';
+}
+export declare namespace SessionCreateParams {
+    /**
+     * Configuration options for the generated client secret.
+     */
+    interface ClientSecret {
+        /**
+         * Configuration for the ephemeral token expiration.
+         */
+        expires_after?: ClientSecret.ExpiresAfter;
+    }
+    namespace ClientSecret {
+        /**
+         * Configuration for the ephemeral token expiration.
+         */
+        interface ExpiresAfter {
+            /**
+             * 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';
+    }
+    /**
+     * Granular configuration for tracing.
+     */
+    interface TracingConfiguration {
+        /**
+         * The group id to attach to this trace to enable filtering and grouping in the
+         * traces dashboard.
+         */
+        group_id?: string;
+        /**
+         * The arbitrary metadata to attach to this trace to enable filtering in the traces
+         * dashboard.
+         */
+        metadata?: unknown;
+        /**
+         * The name of the workflow to attach to this trace. This is used to name the trace
+         * in the traces dashboard.
+         */
+        workflow_name?: string;
+    }
+    /**
+     * 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 conjunction 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

node_modules/openai/resources/beta/realtime/sessions.js

@@ -0,0 +1,32 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Sessions = void 0;
+const resource_1 = require("../../../core/resource.js");
+const headers_1 = require("../../../internal/headers.js");
+class Sessions extends resource_1.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, options) {
+        return this._client.post('/realtime/sessions', {
+            body,
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+}
+exports.Sessions = Sessions;
+//# sourceMappingURL=sessions.js.map

node_modules/openai/resources/beta/realtime/sessions.js.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/realtime/sessions.mjs

@@ -0,0 +1,28 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../../core/resource.mjs";
+import { buildHeaders } from "../../../internal/headers.mjs";
+export 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, options) {
+        return this._client.post('/realtime/sessions', {
+            body,
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+}
+//# sourceMappingURL=sessions.mjs.map

node_modules/openai/resources/beta/realtime/sessions.mjs.map

@@ -0,0 +1 @@
+{"version":3,"file":"sessions.mjs","sourceRoot":"","sources":["../../../src/resources/beta/realtime/sessions.ts"],"names":[],"mappings":"AAAA,sFAAsF;OAE/E,EAAE,WAAW,EAAE;OAEf,EAAE,YAAY,EAAE;AAGvB,MAAM,OAAO,QAAS,SAAQ,WAAW;IACvC;;;;;;;;;;;;;;OAcG;IACH,MAAM,CAAC,IAAyB,EAAE,OAAwB;QACxD,OAAO,IAAI,CAAC,OAAO,CAAC,IAAI,CAAC,oBAAoB,EAAE;YAC7C,IAAI;YACJ,GAAG,OAAO;YACV,OAAO,EAAE,YAAY,CAAC,CAAC,EAAE,aAAa,EAAE,eAAe,EAAE,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC;SAC9E,CAAC,CAAC;IACL,CAAC;CACF"}

node_modules/openai/resources/beta/realtime/transcription-sessions.d.mts

@@ -0,0 +1,299 @@
+import { APIResource } from "../../../core/resource.mjs";
+import { APIPromise } from "../../../core/api-promise.mjs";
+import { RequestOptions } from "../../../internal/request-options.mjs";
+export declare class TranscriptionSessions extends APIResource {
+    /**
+     * Create an ephemeral API token for use in client-side applications with the
+     * Realtime API specifically for realtime transcriptions. Can be configured with
+     * the same session parameters as the `transcription_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 transcriptionSession =
+     *   await client.beta.realtime.transcriptionSessions.create();
+     * ```
+     */
+    create(body: TranscriptionSessionCreateParams, options?: RequestOptions): APIPromise<TranscriptionSession>;
+}
+/**
+ * A new Realtime transcription session configuration.
+ *
+ * When a session is created on the server via REST API, the session object also
+ * contains an ephemeral key. Default TTL for keys is 10 minutes. This property is
+ * not present when a session is updated via the WebSocket API.
+ */
+export interface TranscriptionSession {
+    /**
+     * Ephemeral key returned by the API. Only present when the session is created on
+     * the server via REST API.
+     */
+    client_secret: TranscriptionSession.ClientSecret;
+    /**
+     * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`.
+     */
+    input_audio_format?: string;
+    /**
+     * Configuration of the transcription model.
+     */
+    input_audio_transcription?: TranscriptionSession.InputAudioTranscription;
+    /**
+     * The set of modalities the model can respond with. To disable audio, set this to
+     * ["text"].
+     */
+    modalities?: Array<'text' | 'audio'>;
+    /**
+     * 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?: TranscriptionSession.TurnDetection;
+}
+export declare namespace TranscriptionSession {
+    /**
+     * Ephemeral key returned by the API. Only present when the session is created on
+     * the server via REST 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 of the transcription model.
+     */
+    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. Can be `gpt-4o-transcribe`,
+         * `gpt-4o-mini-transcribe`, or `whisper-1`.
+         */
+        model?: 'gpt-4o-transcribe' | 'gpt-4o-mini-transcribe' | 'whisper-1';
+        /**
+         * An optional text to guide the model's style or continue a previous audio
+         * segment. The
+         * [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
+         * should match the audio language.
+         */
+        prompt?: string;
+    }
+    /**
+     * 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 TranscriptionSessionCreateParams {
+    /**
+     * Configuration options for the generated client secret.
+     */
+    client_secret?: TranscriptionSessionCreateParams.ClientSecret;
+    /**
+     * The set of items to include in the transcription. Current available items are:
+     *
+     * - `item.input_audio_transcription.logprobs`
+     */
+    include?: Array<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?: TranscriptionSessionCreateParams.InputAudioNoiseReduction;
+    /**
+     * Configuration for input audio transcription. The client can optionally set the
+     * language and prompt for transcription, these offer additional guidance to the
+     * transcription service.
+     */
+    input_audio_transcription?: TranscriptionSessionCreateParams.InputAudioTranscription;
+    /**
+     * The set of modalities the model can respond with. To disable audio, set this to
+     * ["text"].
+     */
+    modalities?: Array<'text' | 'audio'>;
+    /**
+     * 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 conjunction 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?: TranscriptionSessionCreateParams.TurnDetection;
+}
+export declare namespace TranscriptionSessionCreateParams {
+    /**
+     * 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. 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?: 'gpt-4o-transcribe' | 'gpt-4o-mini-transcribe' | 'whisper-1';
+        /**
+         * 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;
+    }
+    /**
+     * 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 conjunction 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. Not available for transcription sessions.
+         */
+        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. Not available for transcription sessions.
+         */
+        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 TranscriptionSessions {
+    export { type TranscriptionSession as TranscriptionSession, type TranscriptionSessionCreateParams as TranscriptionSessionCreateParams, };
+}
+//# sourceMappingURL=transcription-sessions.d.mts.map

node_modules/openai/resources/beta/realtime/transcription-sessions.d.mts.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/realtime/transcription-sessions.d.ts

@@ -0,0 +1,299 @@
+import { APIResource } from "../../../core/resource.js";
+import { APIPromise } from "../../../core/api-promise.js";
+import { RequestOptions } from "../../../internal/request-options.js";
+export declare class TranscriptionSessions extends APIResource {
+    /**
+     * Create an ephemeral API token for use in client-side applications with the
+     * Realtime API specifically for realtime transcriptions. Can be configured with
+     * the same session parameters as the `transcription_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 transcriptionSession =
+     *   await client.beta.realtime.transcriptionSessions.create();
+     * ```
+     */
+    create(body: TranscriptionSessionCreateParams, options?: RequestOptions): APIPromise<TranscriptionSession>;
+}
+/**
+ * A new Realtime transcription session configuration.
+ *
+ * When a session is created on the server via REST API, the session object also
+ * contains an ephemeral key. Default TTL for keys is 10 minutes. This property is
+ * not present when a session is updated via the WebSocket API.
+ */
+export interface TranscriptionSession {
+    /**
+     * Ephemeral key returned by the API. Only present when the session is created on
+     * the server via REST API.
+     */
+    client_secret: TranscriptionSession.ClientSecret;
+    /**
+     * The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`.
+     */
+    input_audio_format?: string;
+    /**
+     * Configuration of the transcription model.
+     */
+    input_audio_transcription?: TranscriptionSession.InputAudioTranscription;
+    /**
+     * The set of modalities the model can respond with. To disable audio, set this to
+     * ["text"].
+     */
+    modalities?: Array<'text' | 'audio'>;
+    /**
+     * 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?: TranscriptionSession.TurnDetection;
+}
+export declare namespace TranscriptionSession {
+    /**
+     * Ephemeral key returned by the API. Only present when the session is created on
+     * the server via REST 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 of the transcription model.
+     */
+    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. Can be `gpt-4o-transcribe`,
+         * `gpt-4o-mini-transcribe`, or `whisper-1`.
+         */
+        model?: 'gpt-4o-transcribe' | 'gpt-4o-mini-transcribe' | 'whisper-1';
+        /**
+         * An optional text to guide the model's style or continue a previous audio
+         * segment. The
+         * [prompt](https://platform.openai.com/docs/guides/speech-to-text#prompting)
+         * should match the audio language.
+         */
+        prompt?: string;
+    }
+    /**
+     * 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 TranscriptionSessionCreateParams {
+    /**
+     * Configuration options for the generated client secret.
+     */
+    client_secret?: TranscriptionSessionCreateParams.ClientSecret;
+    /**
+     * The set of items to include in the transcription. Current available items are:
+     *
+     * - `item.input_audio_transcription.logprobs`
+     */
+    include?: Array<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?: TranscriptionSessionCreateParams.InputAudioNoiseReduction;
+    /**
+     * Configuration for input audio transcription. The client can optionally set the
+     * language and prompt for transcription, these offer additional guidance to the
+     * transcription service.
+     */
+    input_audio_transcription?: TranscriptionSessionCreateParams.InputAudioTranscription;
+    /**
+     * The set of modalities the model can respond with. To disable audio, set this to
+     * ["text"].
+     */
+    modalities?: Array<'text' | 'audio'>;
+    /**
+     * 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 conjunction 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?: TranscriptionSessionCreateParams.TurnDetection;
+}
+export declare namespace TranscriptionSessionCreateParams {
+    /**
+     * 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. 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?: 'gpt-4o-transcribe' | 'gpt-4o-mini-transcribe' | 'whisper-1';
+        /**
+         * 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;
+    }
+    /**
+     * 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 conjunction 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. Not available for transcription sessions.
+         */
+        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. Not available for transcription sessions.
+         */
+        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 TranscriptionSessions {
+    export { type TranscriptionSession as TranscriptionSession, type TranscriptionSessionCreateParams as TranscriptionSessionCreateParams, };
+}
+//# sourceMappingURL=transcription-sessions.d.ts.map

node_modules/openai/resources/beta/realtime/transcription-sessions.d.ts.map

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node_modules/openai/resources/beta/realtime/transcription-sessions.js

@@ -0,0 +1,32 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.TranscriptionSessions = void 0;
+const resource_1 = require("../../../core/resource.js");
+const headers_1 = require("../../../internal/headers.js");
+class TranscriptionSessions extends resource_1.APIResource {
+    /**
+     * Create an ephemeral API token for use in client-side applications with the
+     * Realtime API specifically for realtime transcriptions. Can be configured with
+     * the same session parameters as the `transcription_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 transcriptionSession =
+     *   await client.beta.realtime.transcriptionSessions.create();
+     * ```
+     */
+    create(body, options) {
+        return this._client.post('/realtime/transcription_sessions', {
+            body,
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+}
+exports.TranscriptionSessions = TranscriptionSessions;
+//# sourceMappingURL=transcription-sessions.js.map

node_modules/openai/resources/beta/realtime/transcription-sessions.js.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/realtime/transcription-sessions.mjs

@@ -0,0 +1,28 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../../core/resource.mjs";
+import { buildHeaders } from "../../../internal/headers.mjs";
+export class TranscriptionSessions extends APIResource {
+    /**
+     * Create an ephemeral API token for use in client-side applications with the
+     * Realtime API specifically for realtime transcriptions. Can be configured with
+     * the same session parameters as the `transcription_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 transcriptionSession =
+     *   await client.beta.realtime.transcriptionSessions.create();
+     * ```
+     */
+    create(body, options) {
+        return this._client.post('/realtime/transcription_sessions', {
+            body,
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+}
+//# sourceMappingURL=transcription-sessions.mjs.map

node_modules/openai/resources/beta/realtime/transcription-sessions.mjs.map

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node_modules/openai/resources/beta/threads.d.mts

@@ -0,0 +1,2 @@
+export * from "./threads/index.mjs";
+//# sourceMappingURL=threads.d.mts.map

node_modules/openai/resources/beta/threads.d.mts.map

@@ -0,0 +1 @@
+{"version":3,"file":"threads.d.mts","sourceRoot":"","sources":["../../src/resources/beta/threads.ts"],"names":[],"mappings":""}

node_modules/openai/resources/beta/threads.d.ts

@@ -0,0 +1,2 @@
+export * from "./threads/index.js";
+//# sourceMappingURL=threads.d.ts.map

node_modules/openai/resources/beta/threads.d.ts.map

@@ -0,0 +1 @@
+{"version":3,"file":"threads.d.ts","sourceRoot":"","sources":["../../src/resources/beta/threads.ts"],"names":[],"mappings":""}

node_modules/openai/resources/beta/threads.js

@@ -0,0 +1,6 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+const tslib_1 = require("../../internal/tslib.js");
+tslib_1.__exportStar(require("./threads/index.js"), exports);
+//# sourceMappingURL=threads.js.map

node_modules/openai/resources/beta/threads.js.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/threads.mjs

@@ -0,0 +1,3 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+export * from "./threads/index.mjs";
+//# sourceMappingURL=threads.mjs.map

node_modules/openai/resources/beta/threads.mjs.map

@@ -0,0 +1 @@
+{"version":3,"file":"threads.mjs","sourceRoot":"","sources":["../../src/resources/beta/threads.ts"],"names":[],"mappings":"AAAA,sFAAsF"}

node_modules/openai/resources/beta/threads/index.d.mts

@@ -0,0 +1,4 @@
+export { Messages, type Annotation, type AnnotationDelta, type FileCitationAnnotation, type FileCitationDeltaAnnotation, type FilePathAnnotation, type FilePathDeltaAnnotation, type ImageFile, type ImageFileContentBlock, type ImageFileDelta, type ImageFileDeltaBlock, type ImageURL, type ImageURLContentBlock, type ImageURLDelta, type ImageURLDeltaBlock, type Message, type MessageContent, type MessageContentDelta, type MessageContentPartParam, type MessageDeleted, type MessageDelta, type MessageDeltaEvent, type RefusalContentBlock, type RefusalDeltaBlock, type Text, type TextContentBlock, type TextContentBlockParam, type TextDelta, type TextDeltaBlock, type MessageCreateParams, type MessageRetrieveParams, type MessageUpdateParams, type MessageListParams, type MessageDeleteParams, type MessagesPage, } from "./messages.mjs";
+export { Runs, type RequiredActionFunctionToolCall, type Run, type RunStatus, type RunCreateParams, type RunCreateParamsNonStreaming, type RunCreateParamsStreaming, type RunRetrieveParams, type RunUpdateParams, type RunListParams, type RunCancelParams, type RunSubmitToolOutputsParams, type RunSubmitToolOutputsParamsNonStreaming, type RunSubmitToolOutputsParamsStreaming, type RunsPage, type RunCreateAndPollParams, type RunCreateAndStreamParams, type RunStreamParams, type RunSubmitToolOutputsAndPollParams, type RunSubmitToolOutputsStreamParams, } from "./runs/index.mjs";
+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.mjs";
+//# sourceMappingURL=index.d.mts.map

node_modules/openai/resources/beta/threads/index.d.mts.map

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node_modules/openai/resources/beta/threads/index.d.ts

@@ -0,0 +1,4 @@
+export { Messages, type Annotation, type AnnotationDelta, type FileCitationAnnotation, type FileCitationDeltaAnnotation, type FilePathAnnotation, type FilePathDeltaAnnotation, type ImageFile, type ImageFileContentBlock, type ImageFileDelta, type ImageFileDeltaBlock, type ImageURL, type ImageURLContentBlock, type ImageURLDelta, type ImageURLDeltaBlock, type Message, type MessageContent, type MessageContentDelta, type MessageContentPartParam, type MessageDeleted, type MessageDelta, type MessageDeltaEvent, type RefusalContentBlock, type RefusalDeltaBlock, type Text, type TextContentBlock, type TextContentBlockParam, type TextDelta, type TextDeltaBlock, type MessageCreateParams, type MessageRetrieveParams, type MessageUpdateParams, type MessageListParams, type MessageDeleteParams, type MessagesPage, } from "./messages.js";
+export { Runs, type RequiredActionFunctionToolCall, type Run, type RunStatus, type RunCreateParams, type RunCreateParamsNonStreaming, type RunCreateParamsStreaming, type RunRetrieveParams, type RunUpdateParams, type RunListParams, type RunCancelParams, type RunSubmitToolOutputsParams, type RunSubmitToolOutputsParamsNonStreaming, type RunSubmitToolOutputsParamsStreaming, type RunsPage, type RunCreateAndPollParams, type RunCreateAndStreamParams, type RunStreamParams, type RunSubmitToolOutputsAndPollParams, type RunSubmitToolOutputsStreamParams, } from "./runs/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.js";
+//# sourceMappingURL=index.d.ts.map

node_modules/openai/resources/beta/threads/index.d.ts.map

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node_modules/openai/resources/beta/threads/index.js

@@ -0,0 +1,11 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Threads = exports.Runs = exports.Messages = void 0;
+var messages_1 = require("./messages.js");
+Object.defineProperty(exports, "Messages", { enumerable: true, get: function () { return messages_1.Messages; } });
+var index_1 = require("./runs/index.js");
+Object.defineProperty(exports, "Runs", { enumerable: true, get: function () { return index_1.Runs; } });
+var threads_1 = require("./threads.js");
+Object.defineProperty(exports, "Threads", { enumerable: true, get: function () { return threads_1.Threads; } });
+//# sourceMappingURL=index.js.map

node_modules/openai/resources/beta/threads/index.js.map

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node_modules/openai/resources/beta/threads/index.mjs

@@ -0,0 +1,5 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+export { Messages, } from "./messages.mjs";
+export { Runs, } from "./runs/index.mjs";
+export { Threads, } from "./threads.mjs";
+//# sourceMappingURL=index.mjs.map

node_modules/openai/resources/beta/threads/index.mjs.map

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node_modules/openai/resources/beta/threads/messages.d.mts

@@ -0,0 +1,594 @@
+import { APIResource } from "../../../core/resource.mjs";
+import * as Shared from "../../shared.mjs";
+import * as AssistantsAPI from "../assistants.mjs";
+import { APIPromise } from "../../../core/api-promise.mjs";
+import { CursorPage, type CursorPageParams, PagePromise } from "../../../core/pagination.mjs";
+import { RequestOptions } from "../../../internal/request-options.mjs";
+/**
+ * @deprecated The Assistants API is deprecated in favor of the Responses API
+ */
+export declare class Messages extends APIResource {
+    /**
+     * Create a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    create(threadID: string, body: MessageCreateParams, options?: RequestOptions): APIPromise<Message>;
+    /**
+     * Retrieve a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    retrieve(messageID: string, params: MessageRetrieveParams, options?: RequestOptions): APIPromise<Message>;
+    /**
+     * Modifies a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    update(messageID: string, params: MessageUpdateParams, options?: RequestOptions): APIPromise<Message>;
+    /**
+     * Returns a list of messages for a given thread.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    list(threadID: string, query?: MessageListParams | null | undefined, options?: RequestOptions): PagePromise<MessagesPage, Message>;
+    /**
+     * Deletes a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    delete(messageID: string, params: MessageDeleteParams, options?: RequestOptions): APIPromise<MessageDeleted>;
+}
+export type MessagesPage = CursorPage<Message>;
+/**
+ * A citation within the message that points to a specific quote from a specific
+ * File associated with the assistant or the message. Generated when the assistant
+ * uses the "file_search" tool to search files.
+ */
+export type Annotation = FileCitationAnnotation | FilePathAnnotation;
+/**
+ * A citation within the message that points to a specific quote from a specific
+ * File associated with the assistant or the message. Generated when the assistant
+ * uses the "file_search" tool to search files.
+ */
+export type AnnotationDelta = FileCitationDeltaAnnotation | FilePathDeltaAnnotation;
+/**
+ * A citation within the message that points to a specific quote from a specific
+ * File associated with the assistant or the message. Generated when the assistant
+ * uses the "file_search" tool to search files.
+ */
+export interface FileCitationAnnotation {
+    end_index: number;
+    file_citation: FileCitationAnnotation.FileCitation;
+    start_index: number;
+    /**
+     * The text in the message content that needs to be replaced.
+     */
+    text: string;
+    /**
+     * Always `file_citation`.
+     */
+    type: 'file_citation';
+}
+export declare namespace FileCitationAnnotation {
+    interface FileCitation {
+        /**
+         * The ID of the specific File the citation is from.
+         */
+        file_id: string;
+    }
+}
+/**
+ * A citation within the message that points to a specific quote from a specific
+ * File associated with the assistant or the message. Generated when the assistant
+ * uses the "file_search" tool to search files.
+ */
+export interface FileCitationDeltaAnnotation {
+    /**
+     * The index of the annotation in the text content part.
+     */
+    index: number;
+    /**
+     * Always `file_citation`.
+     */
+    type: 'file_citation';
+    end_index?: number;
+    file_citation?: FileCitationDeltaAnnotation.FileCitation;
+    start_index?: number;
+    /**
+     * The text in the message content that needs to be replaced.
+     */
+    text?: string;
+}
+export declare namespace FileCitationDeltaAnnotation {
+    interface FileCitation {
+        /**
+         * The ID of the specific File the citation is from.
+         */
+        file_id?: string;
+        /**
+         * The specific quote in the file.
+         */
+        quote?: string;
+    }
+}
+/**
+ * A URL for the file that's generated when the assistant used the
+ * `code_interpreter` tool to generate a file.
+ */
+export interface FilePathAnnotation {
+    end_index: number;
+    file_path: FilePathAnnotation.FilePath;
+    start_index: number;
+    /**
+     * The text in the message content that needs to be replaced.
+     */
+    text: string;
+    /**
+     * Always `file_path`.
+     */
+    type: 'file_path';
+}
+export declare namespace FilePathAnnotation {
+    interface FilePath {
+        /**
+         * The ID of the file that was generated.
+         */
+        file_id: string;
+    }
+}
+/**
+ * A URL for the file that's generated when the assistant used the
+ * `code_interpreter` tool to generate a file.
+ */
+export interface FilePathDeltaAnnotation {
+    /**
+     * The index of the annotation in the text content part.
+     */
+    index: number;
+    /**
+     * Always `file_path`.
+     */
+    type: 'file_path';
+    end_index?: number;
+    file_path?: FilePathDeltaAnnotation.FilePath;
+    start_index?: number;
+    /**
+     * The text in the message content that needs to be replaced.
+     */
+    text?: string;
+}
+export declare namespace FilePathDeltaAnnotation {
+    interface FilePath {
+        /**
+         * The ID of the file that was generated.
+         */
+        file_id?: string;
+    }
+}
+export interface ImageFile {
+    /**
+     * The [File](https://platform.openai.com/docs/api-reference/files) ID of the image
+     * in the message content. Set `purpose="vision"` when uploading the File if you
+     * need to later display the file content.
+     */
+    file_id: string;
+    /**
+     * Specifies the detail level of the image if specified by the user. `low` uses
+     * fewer tokens, you can opt in to high resolution using `high`.
+     */
+    detail?: 'auto' | 'low' | 'high';
+}
+/**
+ * References an image [File](https://platform.openai.com/docs/api-reference/files)
+ * in the content of a message.
+ */
+export interface ImageFileContentBlock {
+    image_file: ImageFile;
+    /**
+     * Always `image_file`.
+     */
+    type: 'image_file';
+}
+export interface ImageFileDelta {
+    /**
+     * Specifies the detail level of the image if specified by the user. `low` uses
+     * fewer tokens, you can opt in to high resolution using `high`.
+     */
+    detail?: 'auto' | 'low' | 'high';
+    /**
+     * The [File](https://platform.openai.com/docs/api-reference/files) ID of the image
+     * in the message content. Set `purpose="vision"` when uploading the File if you
+     * need to later display the file content.
+     */
+    file_id?: string;
+}
+/**
+ * References an image [File](https://platform.openai.com/docs/api-reference/files)
+ * in the content of a message.
+ */
+export interface ImageFileDeltaBlock {
+    /**
+     * The index of the content part in the message.
+     */
+    index: number;
+    /**
+     * Always `image_file`.
+     */
+    type: 'image_file';
+    image_file?: ImageFileDelta;
+}
+export interface ImageURL {
+    /**
+     * The external URL of the image, must be a supported image types: jpeg, jpg, png,
+     * gif, webp.
+     */
+    url: string;
+    /**
+     * Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
+     * to high resolution using `high`. Default value is `auto`
+     */
+    detail?: 'auto' | 'low' | 'high';
+}
+/**
+ * References an image URL in the content of a message.
+ */
+export interface ImageURLContentBlock {
+    image_url: ImageURL;
+    /**
+     * The type of the content part.
+     */
+    type: 'image_url';
+}
+export interface ImageURLDelta {
+    /**
+     * Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
+     * to high resolution using `high`.
+     */
+    detail?: 'auto' | 'low' | 'high';
+    /**
+     * The URL of the image, must be a supported image types: jpeg, jpg, png, gif,
+     * webp.
+     */
+    url?: string;
+}
+/**
+ * References an image URL in the content of a message.
+ */
+export interface ImageURLDeltaBlock {
+    /**
+     * The index of the content part in the message.
+     */
+    index: number;
+    /**
+     * Always `image_url`.
+     */
+    type: 'image_url';
+    image_url?: ImageURLDelta;
+}
+/**
+ * Represents a message within a
+ * [thread](https://platform.openai.com/docs/api-reference/threads).
+ */
+export interface Message {
+    /**
+     * The identifier, which can be referenced in API endpoints.
+     */
+    id: string;
+    /**
+     * If applicable, the ID of the
+     * [assistant](https://platform.openai.com/docs/api-reference/assistants) that
+     * authored this message.
+     */
+    assistant_id: string | null;
+    /**
+     * A list of files attached to the message, and the tools they were added to.
+     */
+    attachments: Array<Message.Attachment> | null;
+    /**
+     * The Unix timestamp (in seconds) for when the message was completed.
+     */
+    completed_at: number | null;
+    /**
+     * The content of the message in array of text and/or images.
+     */
+    content: Array<MessageContent>;
+    /**
+     * The Unix timestamp (in seconds) for when the message was created.
+     */
+    created_at: number;
+    /**
+     * The Unix timestamp (in seconds) for when the message was marked as incomplete.
+     */
+    incomplete_at: number | null;
+    /**
+     * On an incomplete message, details about why the message is incomplete.
+     */
+    incomplete_details: Message.IncompleteDetails | null;
+    /**
+     * Set of 16 key-value pairs that can be attached to an object. This can be useful
+     * for storing additional information about the object in a structured format, and
+     * querying for objects via API or the dashboard.
+     *
+     * Keys are strings with a maximum length of 64 characters. Values are strings with
+     * a maximum length of 512 characters.
+     */
+    metadata: Shared.Metadata | null;
+    /**
+     * The object type, which is always `thread.message`.
+     */
+    object: 'thread.message';
+    /**
+     * The entity that produced the message. One of `user` or `assistant`.
+     */
+    role: 'user' | 'assistant';
+    /**
+     * The ID of the [run](https://platform.openai.com/docs/api-reference/runs)
+     * associated with the creation of this message. Value is `null` when messages are
+     * created manually using the create message or create thread endpoints.
+     */
+    run_id: string | null;
+    /**
+     * The status of the message, which can be either `in_progress`, `incomplete`, or
+     * `completed`.
+     */
+    status: 'in_progress' | 'incomplete' | 'completed';
+    /**
+     * The [thread](https://platform.openai.com/docs/api-reference/threads) ID that
+     * this message belongs to.
+     */
+    thread_id: string;
+}
+export declare namespace Message {
+    interface Attachment {
+        /**
+         * The ID of the file to attach to the message.
+         */
+        file_id?: string;
+        /**
+         * The tools to add this file to.
+         */
+        tools?: Array<AssistantsAPI.CodeInterpreterTool | Attachment.AssistantToolsFileSearchTypeOnly>;
+    }
+    namespace Attachment {
+        interface AssistantToolsFileSearchTypeOnly {
+            /**
+             * The type of tool being defined: `file_search`
+             */
+            type: 'file_search';
+        }
+    }
+    /**
+     * On an incomplete message, details about why the message is incomplete.
+     */
+    interface IncompleteDetails {
+        /**
+         * The reason the message is incomplete.
+         */
+        reason: 'content_filter' | 'max_tokens' | 'run_cancelled' | 'run_expired' | 'run_failed';
+    }
+}
+/**
+ * References an image [File](https://platform.openai.com/docs/api-reference/files)
+ * in the content of a message.
+ */
+export type MessageContent = ImageFileContentBlock | ImageURLContentBlock | TextContentBlock | RefusalContentBlock;
+/**
+ * References an image [File](https://platform.openai.com/docs/api-reference/files)
+ * in the content of a message.
+ */
+export type MessageContentDelta = ImageFileDeltaBlock | TextDeltaBlock | RefusalDeltaBlock | ImageURLDeltaBlock;
+/**
+ * References an image [File](https://platform.openai.com/docs/api-reference/files)
+ * in the content of a message.
+ */
+export type MessageContentPartParam = ImageFileContentBlock | ImageURLContentBlock | TextContentBlockParam;
+export interface MessageDeleted {
+    id: string;
+    deleted: boolean;
+    object: 'thread.message.deleted';
+}
+/**
+ * The delta containing the fields that have changed on the Message.
+ */
+export interface MessageDelta {
+    /**
+     * The content of the message in array of text and/or images.
+     */
+    content?: Array<MessageContentDelta>;
+    /**
+     * The entity that produced the message. One of `user` or `assistant`.
+     */
+    role?: 'user' | 'assistant';
+}
+/**
+ * Represents a message delta i.e. any changed fields on a message during
+ * streaming.
+ */
+export interface MessageDeltaEvent {
+    /**
+     * The identifier of the message, which can be referenced in API endpoints.
+     */
+    id: string;
+    /**
+     * The delta containing the fields that have changed on the Message.
+     */
+    delta: MessageDelta;
+    /**
+     * The object type, which is always `thread.message.delta`.
+     */
+    object: 'thread.message.delta';
+}
+/**
+ * The refusal content generated by the assistant.
+ */
+export interface RefusalContentBlock {
+    refusal: string;
+    /**
+     * Always `refusal`.
+     */
+    type: 'refusal';
+}
+/**
+ * The refusal content that is part of a message.
+ */
+export interface RefusalDeltaBlock {
+    /**
+     * The index of the refusal part in the message.
+     */
+    index: number;
+    /**
+     * Always `refusal`.
+     */
+    type: 'refusal';
+    refusal?: string;
+}
+export interface Text {
+    annotations: Array<Annotation>;
+    /**
+     * The data that makes up the text.
+     */
+    value: string;
+}
+/**
+ * The text content that is part of a message.
+ */
+export interface TextContentBlock {
+    text: Text;
+    /**
+     * Always `text`.
+     */
+    type: 'text';
+}
+/**
+ * The text content that is part of a message.
+ */
+export interface TextContentBlockParam {
+    /**
+     * Text content to be sent to the model
+     */
+    text: string;
+    /**
+     * Always `text`.
+     */
+    type: 'text';
+}
+export interface TextDelta {
+    annotations?: Array<AnnotationDelta>;
+    /**
+     * The data that makes up the text.
+     */
+    value?: string;
+}
+/**
+ * The text content that is part of a message.
+ */
+export interface TextDeltaBlock {
+    /**
+     * The index of the content part in the message.
+     */
+    index: number;
+    /**
+     * Always `text`.
+     */
+    type: 'text';
+    text?: TextDelta;
+}
+export interface MessageCreateParams {
+    /**
+     * The text contents of the message.
+     */
+    content: string | Array<MessageContentPartParam>;
+    /**
+     * The role of the entity that is creating the message. Allowed values include:
+     *
+     * - `user`: Indicates the message is sent by an actual user and should be used in
+     *   most cases to represent user-generated messages.
+     * - `assistant`: Indicates the message is generated by the assistant. Use this
+     *   value to insert messages from the assistant into the conversation.
+     */
+    role: 'user' | 'assistant';
+    /**
+     * A list of files attached to the message, and the tools they should be added to.
+     */
+    attachments?: Array<MessageCreateParams.Attachment> | null;
+    /**
+     * Set of 16 key-value pairs that can be attached to an object. This can be useful
+     * for storing additional information about the object in a structured format, and
+     * querying for objects via API or the dashboard.
+     *
+     * Keys are strings with a maximum length of 64 characters. Values are strings with
+     * a maximum length of 512 characters.
+     */
+    metadata?: Shared.Metadata | null;
+}
+export declare namespace MessageCreateParams {
+    interface Attachment {
+        /**
+         * The ID of the file to attach to the message.
+         */
+        file_id?: string;
+        /**
+         * The tools to add this file to.
+         */
+        tools?: Array<AssistantsAPI.CodeInterpreterTool | Attachment.FileSearch>;
+    }
+    namespace Attachment {
+        interface FileSearch {
+            /**
+             * The type of tool being defined: `file_search`
+             */
+            type: 'file_search';
+        }
+    }
+}
+export interface MessageRetrieveParams {
+    /**
+     * The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
+     * to which this message belongs.
+     */
+    thread_id: string;
+}
+export interface MessageUpdateParams {
+    /**
+     * Path param: The ID of the thread to which this message belongs.
+     */
+    thread_id: string;
+    /**
+     * Body param: Set of 16 key-value pairs that can be attached to an object. This
+     * can be useful for storing additional information about the object in a
+     * structured format, and querying for objects via API or the dashboard.
+     *
+     * Keys are strings with a maximum length of 64 characters. Values are strings with
+     * a maximum length of 512 characters.
+     */
+    metadata?: Shared.Metadata | null;
+}
+export interface MessageListParams extends CursorPageParams {
+    /**
+     * A cursor for use in pagination. `before` is an object ID that defines your place
+     * in the list. For instance, if you make a list request and receive 100 objects,
+     * starting with obj_foo, your subsequent call can include before=obj_foo in order
+     * to fetch the previous page of the list.
+     */
+    before?: string;
+    /**
+     * Sort order by the `created_at` timestamp of the objects. `asc` for ascending
+     * order and `desc` for descending order.
+     */
+    order?: 'asc' | 'desc';
+    /**
+     * Filter messages by the run ID that generated them.
+     */
+    run_id?: string;
+}
+export interface MessageDeleteParams {
+    /**
+     * The ID of the thread to which this message belongs.
+     */
+    thread_id: string;
+}
+export declare namespace Messages {
+    export { type Annotation as Annotation, type AnnotationDelta as AnnotationDelta, type FileCitationAnnotation as FileCitationAnnotation, type FileCitationDeltaAnnotation as FileCitationDeltaAnnotation, type FilePathAnnotation as FilePathAnnotation, type FilePathDeltaAnnotation as FilePathDeltaAnnotation, type ImageFile as ImageFile, type ImageFileContentBlock as ImageFileContentBlock, type ImageFileDelta as ImageFileDelta, type ImageFileDeltaBlock as ImageFileDeltaBlock, type ImageURL as ImageURL, type ImageURLContentBlock as ImageURLContentBlock, type ImageURLDelta as ImageURLDelta, type ImageURLDeltaBlock as ImageURLDeltaBlock, type Message as Message, type MessageContent as MessageContent, type MessageContentDelta as MessageContentDelta, type MessageContentPartParam as MessageContentPartParam, type MessageDeleted as MessageDeleted, type MessageDelta as MessageDelta, type MessageDeltaEvent as MessageDeltaEvent, type RefusalContentBlock as RefusalContentBlock, type RefusalDeltaBlock as RefusalDeltaBlock, type Text as Text, type TextContentBlock as TextContentBlock, type TextContentBlockParam as TextContentBlockParam, type TextDelta as TextDelta, type TextDeltaBlock as TextDeltaBlock, type MessagesPage as MessagesPage, type MessageCreateParams as MessageCreateParams, type MessageRetrieveParams as MessageRetrieveParams, type MessageUpdateParams as MessageUpdateParams, type MessageListParams as MessageListParams, type MessageDeleteParams as MessageDeleteParams, };
+}
+//# sourceMappingURL=messages.d.mts.map

node_modules/openai/resources/beta/threads/messages.d.ts

@@ -0,0 +1,594 @@
+import { APIResource } from "../../../core/resource.js";
+import * as Shared from "../../shared.js";
+import * as AssistantsAPI from "../assistants.js";
+import { APIPromise } from "../../../core/api-promise.js";
+import { CursorPage, type CursorPageParams, PagePromise } from "../../../core/pagination.js";
+import { RequestOptions } from "../../../internal/request-options.js";
+/**
+ * @deprecated The Assistants API is deprecated in favor of the Responses API
+ */
+export declare class Messages extends APIResource {
+    /**
+     * Create a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    create(threadID: string, body: MessageCreateParams, options?: RequestOptions): APIPromise<Message>;
+    /**
+     * Retrieve a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    retrieve(messageID: string, params: MessageRetrieveParams, options?: RequestOptions): APIPromise<Message>;
+    /**
+     * Modifies a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    update(messageID: string, params: MessageUpdateParams, options?: RequestOptions): APIPromise<Message>;
+    /**
+     * Returns a list of messages for a given thread.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    list(threadID: string, query?: MessageListParams | null | undefined, options?: RequestOptions): PagePromise<MessagesPage, Message>;
+    /**
+     * Deletes a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    delete(messageID: string, params: MessageDeleteParams, options?: RequestOptions): APIPromise<MessageDeleted>;
+}
+export type MessagesPage = CursorPage<Message>;
+/**
+ * A citation within the message that points to a specific quote from a specific
+ * File associated with the assistant or the message. Generated when the assistant
+ * uses the "file_search" tool to search files.
+ */
+export type Annotation = FileCitationAnnotation | FilePathAnnotation;
+/**
+ * A citation within the message that points to a specific quote from a specific
+ * File associated with the assistant or the message. Generated when the assistant
+ * uses the "file_search" tool to search files.
+ */
+export type AnnotationDelta = FileCitationDeltaAnnotation | FilePathDeltaAnnotation;
+/**
+ * A citation within the message that points to a specific quote from a specific
+ * File associated with the assistant or the message. Generated when the assistant
+ * uses the "file_search" tool to search files.
+ */
+export interface FileCitationAnnotation {
+    end_index: number;
+    file_citation: FileCitationAnnotation.FileCitation;
+    start_index: number;
+    /**
+     * The text in the message content that needs to be replaced.
+     */
+    text: string;
+    /**
+     * Always `file_citation`.
+     */
+    type: 'file_citation';
+}
+export declare namespace FileCitationAnnotation {
+    interface FileCitation {
+        /**
+         * The ID of the specific File the citation is from.
+         */
+        file_id: string;
+    }
+}
+/**
+ * A citation within the message that points to a specific quote from a specific
+ * File associated with the assistant or the message. Generated when the assistant
+ * uses the "file_search" tool to search files.
+ */
+export interface FileCitationDeltaAnnotation {
+    /**
+     * The index of the annotation in the text content part.
+     */
+    index: number;
+    /**
+     * Always `file_citation`.
+     */
+    type: 'file_citation';
+    end_index?: number;
+    file_citation?: FileCitationDeltaAnnotation.FileCitation;
+    start_index?: number;
+    /**
+     * The text in the message content that needs to be replaced.
+     */
+    text?: string;
+}
+export declare namespace FileCitationDeltaAnnotation {
+    interface FileCitation {
+        /**
+         * The ID of the specific File the citation is from.
+         */
+        file_id?: string;
+        /**
+         * The specific quote in the file.
+         */
+        quote?: string;
+    }
+}
+/**
+ * A URL for the file that's generated when the assistant used the
+ * `code_interpreter` tool to generate a file.
+ */
+export interface FilePathAnnotation {
+    end_index: number;
+    file_path: FilePathAnnotation.FilePath;
+    start_index: number;
+    /**
+     * The text in the message content that needs to be replaced.
+     */
+    text: string;
+    /**
+     * Always `file_path`.
+     */
+    type: 'file_path';
+}
+export declare namespace FilePathAnnotation {
+    interface FilePath {
+        /**
+         * The ID of the file that was generated.
+         */
+        file_id: string;
+    }
+}
+/**
+ * A URL for the file that's generated when the assistant used the
+ * `code_interpreter` tool to generate a file.
+ */
+export interface FilePathDeltaAnnotation {
+    /**
+     * The index of the annotation in the text content part.
+     */
+    index: number;
+    /**
+     * Always `file_path`.
+     */
+    type: 'file_path';
+    end_index?: number;
+    file_path?: FilePathDeltaAnnotation.FilePath;
+    start_index?: number;
+    /**
+     * The text in the message content that needs to be replaced.
+     */
+    text?: string;
+}
+export declare namespace FilePathDeltaAnnotation {
+    interface FilePath {
+        /**
+         * The ID of the file that was generated.
+         */
+        file_id?: string;
+    }
+}
+export interface ImageFile {
+    /**
+     * The [File](https://platform.openai.com/docs/api-reference/files) ID of the image
+     * in the message content. Set `purpose="vision"` when uploading the File if you
+     * need to later display the file content.
+     */
+    file_id: string;
+    /**
+     * Specifies the detail level of the image if specified by the user. `low` uses
+     * fewer tokens, you can opt in to high resolution using `high`.
+     */
+    detail?: 'auto' | 'low' | 'high';
+}
+/**
+ * References an image [File](https://platform.openai.com/docs/api-reference/files)
+ * in the content of a message.
+ */
+export interface ImageFileContentBlock {
+    image_file: ImageFile;
+    /**
+     * Always `image_file`.
+     */
+    type: 'image_file';
+}
+export interface ImageFileDelta {
+    /**
+     * Specifies the detail level of the image if specified by the user. `low` uses
+     * fewer tokens, you can opt in to high resolution using `high`.
+     */
+    detail?: 'auto' | 'low' | 'high';
+    /**
+     * The [File](https://platform.openai.com/docs/api-reference/files) ID of the image
+     * in the message content. Set `purpose="vision"` when uploading the File if you
+     * need to later display the file content.
+     */
+    file_id?: string;
+}
+/**
+ * References an image [File](https://platform.openai.com/docs/api-reference/files)
+ * in the content of a message.
+ */
+export interface ImageFileDeltaBlock {
+    /**
+     * The index of the content part in the message.
+     */
+    index: number;
+    /**
+     * Always `image_file`.
+     */
+    type: 'image_file';
+    image_file?: ImageFileDelta;
+}
+export interface ImageURL {
+    /**
+     * The external URL of the image, must be a supported image types: jpeg, jpg, png,
+     * gif, webp.
+     */
+    url: string;
+    /**
+     * Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
+     * to high resolution using `high`. Default value is `auto`
+     */
+    detail?: 'auto' | 'low' | 'high';
+}
+/**
+ * References an image URL in the content of a message.
+ */
+export interface ImageURLContentBlock {
+    image_url: ImageURL;
+    /**
+     * The type of the content part.
+     */
+    type: 'image_url';
+}
+export interface ImageURLDelta {
+    /**
+     * Specifies the detail level of the image. `low` uses fewer tokens, you can opt in
+     * to high resolution using `high`.
+     */
+    detail?: 'auto' | 'low' | 'high';
+    /**
+     * The URL of the image, must be a supported image types: jpeg, jpg, png, gif,
+     * webp.
+     */
+    url?: string;
+}
+/**
+ * References an image URL in the content of a message.
+ */
+export interface ImageURLDeltaBlock {
+    /**
+     * The index of the content part in the message.
+     */
+    index: number;
+    /**
+     * Always `image_url`.
+     */
+    type: 'image_url';
+    image_url?: ImageURLDelta;
+}
+/**
+ * Represents a message within a
+ * [thread](https://platform.openai.com/docs/api-reference/threads).
+ */
+export interface Message {
+    /**
+     * The identifier, which can be referenced in API endpoints.
+     */
+    id: string;
+    /**
+     * If applicable, the ID of the
+     * [assistant](https://platform.openai.com/docs/api-reference/assistants) that
+     * authored this message.
+     */
+    assistant_id: string | null;
+    /**
+     * A list of files attached to the message, and the tools they were added to.
+     */
+    attachments: Array<Message.Attachment> | null;
+    /**
+     * The Unix timestamp (in seconds) for when the message was completed.
+     */
+    completed_at: number | null;
+    /**
+     * The content of the message in array of text and/or images.
+     */
+    content: Array<MessageContent>;
+    /**
+     * The Unix timestamp (in seconds) for when the message was created.
+     */
+    created_at: number;
+    /**
+     * The Unix timestamp (in seconds) for when the message was marked as incomplete.
+     */
+    incomplete_at: number | null;
+    /**
+     * On an incomplete message, details about why the message is incomplete.
+     */
+    incomplete_details: Message.IncompleteDetails | null;
+    /**
+     * Set of 16 key-value pairs that can be attached to an object. This can be useful
+     * for storing additional information about the object in a structured format, and
+     * querying for objects via API or the dashboard.
+     *
+     * Keys are strings with a maximum length of 64 characters. Values are strings with
+     * a maximum length of 512 characters.
+     */
+    metadata: Shared.Metadata | null;
+    /**
+     * The object type, which is always `thread.message`.
+     */
+    object: 'thread.message';
+    /**
+     * The entity that produced the message. One of `user` or `assistant`.
+     */
+    role: 'user' | 'assistant';
+    /**
+     * The ID of the [run](https://platform.openai.com/docs/api-reference/runs)
+     * associated with the creation of this message. Value is `null` when messages are
+     * created manually using the create message or create thread endpoints.
+     */
+    run_id: string | null;
+    /**
+     * The status of the message, which can be either `in_progress`, `incomplete`, or
+     * `completed`.
+     */
+    status: 'in_progress' | 'incomplete' | 'completed';
+    /**
+     * The [thread](https://platform.openai.com/docs/api-reference/threads) ID that
+     * this message belongs to.
+     */
+    thread_id: string;
+}
+export declare namespace Message {
+    interface Attachment {
+        /**
+         * The ID of the file to attach to the message.
+         */
+        file_id?: string;
+        /**
+         * The tools to add this file to.
+         */
+        tools?: Array<AssistantsAPI.CodeInterpreterTool | Attachment.AssistantToolsFileSearchTypeOnly>;
+    }
+    namespace Attachment {
+        interface AssistantToolsFileSearchTypeOnly {
+            /**
+             * The type of tool being defined: `file_search`
+             */
+            type: 'file_search';
+        }
+    }
+    /**
+     * On an incomplete message, details about why the message is incomplete.
+     */
+    interface IncompleteDetails {
+        /**
+         * The reason the message is incomplete.
+         */
+        reason: 'content_filter' | 'max_tokens' | 'run_cancelled' | 'run_expired' | 'run_failed';
+    }
+}
+/**
+ * References an image [File](https://platform.openai.com/docs/api-reference/files)
+ * in the content of a message.
+ */
+export type MessageContent = ImageFileContentBlock | ImageURLContentBlock | TextContentBlock | RefusalContentBlock;
+/**
+ * References an image [File](https://platform.openai.com/docs/api-reference/files)
+ * in the content of a message.
+ */
+export type MessageContentDelta = ImageFileDeltaBlock | TextDeltaBlock | RefusalDeltaBlock | ImageURLDeltaBlock;
+/**
+ * References an image [File](https://platform.openai.com/docs/api-reference/files)
+ * in the content of a message.
+ */
+export type MessageContentPartParam = ImageFileContentBlock | ImageURLContentBlock | TextContentBlockParam;
+export interface MessageDeleted {
+    id: string;
+    deleted: boolean;
+    object: 'thread.message.deleted';
+}
+/**
+ * The delta containing the fields that have changed on the Message.
+ */
+export interface MessageDelta {
+    /**
+     * The content of the message in array of text and/or images.
+     */
+    content?: Array<MessageContentDelta>;
+    /**
+     * The entity that produced the message. One of `user` or `assistant`.
+     */
+    role?: 'user' | 'assistant';
+}
+/**
+ * Represents a message delta i.e. any changed fields on a message during
+ * streaming.
+ */
+export interface MessageDeltaEvent {
+    /**
+     * The identifier of the message, which can be referenced in API endpoints.
+     */
+    id: string;
+    /**
+     * The delta containing the fields that have changed on the Message.
+     */
+    delta: MessageDelta;
+    /**
+     * The object type, which is always `thread.message.delta`.
+     */
+    object: 'thread.message.delta';
+}
+/**
+ * The refusal content generated by the assistant.
+ */
+export interface RefusalContentBlock {
+    refusal: string;
+    /**
+     * Always `refusal`.
+     */
+    type: 'refusal';
+}
+/**
+ * The refusal content that is part of a message.
+ */
+export interface RefusalDeltaBlock {
+    /**
+     * The index of the refusal part in the message.
+     */
+    index: number;
+    /**
+     * Always `refusal`.
+     */
+    type: 'refusal';
+    refusal?: string;
+}
+export interface Text {
+    annotations: Array<Annotation>;
+    /**
+     * The data that makes up the text.
+     */
+    value: string;
+}
+/**
+ * The text content that is part of a message.
+ */
+export interface TextContentBlock {
+    text: Text;
+    /**
+     * Always `text`.
+     */
+    type: 'text';
+}
+/**
+ * The text content that is part of a message.
+ */
+export interface TextContentBlockParam {
+    /**
+     * Text content to be sent to the model
+     */
+    text: string;
+    /**
+     * Always `text`.
+     */
+    type: 'text';
+}
+export interface TextDelta {
+    annotations?: Array<AnnotationDelta>;
+    /**
+     * The data that makes up the text.
+     */
+    value?: string;
+}
+/**
+ * The text content that is part of a message.
+ */
+export interface TextDeltaBlock {
+    /**
+     * The index of the content part in the message.
+     */
+    index: number;
+    /**
+     * Always `text`.
+     */
+    type: 'text';
+    text?: TextDelta;
+}
+export interface MessageCreateParams {
+    /**
+     * The text contents of the message.
+     */
+    content: string | Array<MessageContentPartParam>;
+    /**
+     * The role of the entity that is creating the message. Allowed values include:
+     *
+     * - `user`: Indicates the message is sent by an actual user and should be used in
+     *   most cases to represent user-generated messages.
+     * - `assistant`: Indicates the message is generated by the assistant. Use this
+     *   value to insert messages from the assistant into the conversation.
+     */
+    role: 'user' | 'assistant';
+    /**
+     * A list of files attached to the message, and the tools they should be added to.
+     */
+    attachments?: Array<MessageCreateParams.Attachment> | null;
+    /**
+     * Set of 16 key-value pairs that can be attached to an object. This can be useful
+     * for storing additional information about the object in a structured format, and
+     * querying for objects via API or the dashboard.
+     *
+     * Keys are strings with a maximum length of 64 characters. Values are strings with
+     * a maximum length of 512 characters.
+     */
+    metadata?: Shared.Metadata | null;
+}
+export declare namespace MessageCreateParams {
+    interface Attachment {
+        /**
+         * The ID of the file to attach to the message.
+         */
+        file_id?: string;
+        /**
+         * The tools to add this file to.
+         */
+        tools?: Array<AssistantsAPI.CodeInterpreterTool | Attachment.FileSearch>;
+    }
+    namespace Attachment {
+        interface FileSearch {
+            /**
+             * The type of tool being defined: `file_search`
+             */
+            type: 'file_search';
+        }
+    }
+}
+export interface MessageRetrieveParams {
+    /**
+     * The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
+     * to which this message belongs.
+     */
+    thread_id: string;
+}
+export interface MessageUpdateParams {
+    /**
+     * Path param: The ID of the thread to which this message belongs.
+     */
+    thread_id: string;
+    /**
+     * Body param: Set of 16 key-value pairs that can be attached to an object. This
+     * can be useful for storing additional information about the object in a
+     * structured format, and querying for objects via API or the dashboard.
+     *
+     * Keys are strings with a maximum length of 64 characters. Values are strings with
+     * a maximum length of 512 characters.
+     */
+    metadata?: Shared.Metadata | null;
+}
+export interface MessageListParams extends CursorPageParams {
+    /**
+     * A cursor for use in pagination. `before` is an object ID that defines your place
+     * in the list. For instance, if you make a list request and receive 100 objects,
+     * starting with obj_foo, your subsequent call can include before=obj_foo in order
+     * to fetch the previous page of the list.
+     */
+    before?: string;
+    /**
+     * Sort order by the `created_at` timestamp of the objects. `asc` for ascending
+     * order and `desc` for descending order.
+     */
+    order?: 'asc' | 'desc';
+    /**
+     * Filter messages by the run ID that generated them.
+     */
+    run_id?: string;
+}
+export interface MessageDeleteParams {
+    /**
+     * The ID of the thread to which this message belongs.
+     */
+    thread_id: string;
+}
+export declare namespace Messages {
+    export { type Annotation as Annotation, type AnnotationDelta as AnnotationDelta, type FileCitationAnnotation as FileCitationAnnotation, type FileCitationDeltaAnnotation as FileCitationDeltaAnnotation, type FilePathAnnotation as FilePathAnnotation, type FilePathDeltaAnnotation as FilePathDeltaAnnotation, type ImageFile as ImageFile, type ImageFileContentBlock as ImageFileContentBlock, type ImageFileDelta as ImageFileDelta, type ImageFileDeltaBlock as ImageFileDeltaBlock, type ImageURL as ImageURL, type ImageURLContentBlock as ImageURLContentBlock, type ImageURLDelta as ImageURLDelta, type ImageURLDeltaBlock as ImageURLDeltaBlock, type Message as Message, type MessageContent as MessageContent, type MessageContentDelta as MessageContentDelta, type MessageContentPartParam as MessageContentPartParam, type MessageDeleted as MessageDeleted, type MessageDelta as MessageDelta, type MessageDeltaEvent as MessageDeltaEvent, type RefusalContentBlock as RefusalContentBlock, type RefusalDeltaBlock as RefusalDeltaBlock, type Text as Text, type TextContentBlock as TextContentBlock, type TextContentBlockParam as TextContentBlockParam, type TextDelta as TextDelta, type TextDeltaBlock as TextDeltaBlock, type MessagesPage as MessagesPage, type MessageCreateParams as MessageCreateParams, type MessageRetrieveParams as MessageRetrieveParams, type MessageUpdateParams as MessageUpdateParams, type MessageListParams as MessageListParams, type MessageDeleteParams as MessageDeleteParams, };
+}
+//# sourceMappingURL=messages.d.ts.map

node_modules/openai/resources/beta/threads/messages.js

@@ -0,0 +1,76 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Messages = void 0;
+const resource_1 = require("../../../core/resource.js");
+const pagination_1 = require("../../../core/pagination.js");
+const headers_1 = require("../../../internal/headers.js");
+const path_1 = require("../../../internal/utils/path.js");
+/**
+ * @deprecated The Assistants API is deprecated in favor of the Responses API
+ */
+class Messages extends resource_1.APIResource {
+    /**
+     * Create a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    create(threadID, body, options) {
+        return this._client.post((0, path_1.path) `/threads/${threadID}/messages`, {
+            body,
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Retrieve a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    retrieve(messageID, params, options) {
+        const { thread_id } = params;
+        return this._client.get((0, path_1.path) `/threads/${thread_id}/messages/${messageID}`, {
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Modifies a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    update(messageID, params, options) {
+        const { thread_id, ...body } = params;
+        return this._client.post((0, path_1.path) `/threads/${thread_id}/messages/${messageID}`, {
+            body,
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Returns a list of messages for a given thread.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    list(threadID, query = {}, options) {
+        return this._client.getAPIList((0, path_1.path) `/threads/${threadID}/messages`, (pagination_1.CursorPage), {
+            query,
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Deletes a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    delete(messageID, params, options) {
+        const { thread_id } = params;
+        return this._client.delete((0, path_1.path) `/threads/${thread_id}/messages/${messageID}`, {
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+}
+exports.Messages = Messages;
+//# sourceMappingURL=messages.js.map

node_modules/openai/resources/beta/threads/messages.js.map

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node_modules/openai/resources/beta/threads/messages.mjs

@@ -0,0 +1,72 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../../core/resource.mjs";
+import { CursorPage } from "../../../core/pagination.mjs";
+import { buildHeaders } from "../../../internal/headers.mjs";
+import { path } from "../../../internal/utils/path.mjs";
+/**
+ * @deprecated The Assistants API is deprecated in favor of the Responses API
+ */
+export class Messages extends APIResource {
+    /**
+     * Create a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    create(threadID, body, options) {
+        return this._client.post(path `/threads/${threadID}/messages`, {
+            body,
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Retrieve a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    retrieve(messageID, params, options) {
+        const { thread_id } = params;
+        return this._client.get(path `/threads/${thread_id}/messages/${messageID}`, {
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Modifies a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    update(messageID, params, options) {
+        const { thread_id, ...body } = params;
+        return this._client.post(path `/threads/${thread_id}/messages/${messageID}`, {
+            body,
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Returns a list of messages for a given thread.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    list(threadID, query = {}, options) {
+        return this._client.getAPIList(path `/threads/${threadID}/messages`, (CursorPage), {
+            query,
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+    /**
+     * Deletes a message.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    delete(messageID, params, options) {
+        const { thread_id } = params;
+        return this._client.delete(path `/threads/${thread_id}/messages/${messageID}`, {
+            ...options,
+            headers: buildHeaders([{ 'OpenAI-Beta': 'assistants=v2' }, options?.headers]),
+        });
+    }
+}
+//# sourceMappingURL=messages.mjs.map

node_modules/openai/resources/beta/threads/messages.mjs.map

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node_modules/openai/resources/beta/threads/runs.d.mts

@@ -0,0 +1,2 @@
+export * from "./runs/index.mjs";
+//# sourceMappingURL=runs.d.mts.map

node_modules/openai/resources/beta/threads/runs.d.mts.map

@@ -0,0 +1 @@
+{"version":3,"file":"runs.d.mts","sourceRoot":"","sources":["../../../src/resources/beta/threads/runs.ts"],"names":[],"mappings":""}

node_modules/openai/resources/beta/threads/runs.d.ts

@@ -0,0 +1,2 @@
+export * from "./runs/index.js";
+//# sourceMappingURL=runs.d.ts.map

node_modules/openai/resources/beta/threads/runs.d.ts.map

@@ -0,0 +1 @@
+{"version":3,"file":"runs.d.ts","sourceRoot":"","sources":["../../../src/resources/beta/threads/runs.ts"],"names":[],"mappings":""}

node_modules/openai/resources/beta/threads/runs.js

@@ -0,0 +1,6 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+const tslib_1 = require("../../../internal/tslib.js");
+tslib_1.__exportStar(require("./runs/index.js"), exports);
+//# sourceMappingURL=runs.js.map

node_modules/openai/resources/beta/threads/runs.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"runs.js","sourceRoot":"","sources":["../../../src/resources/beta/threads/runs.ts"],"names":[],"mappings":";AAAA,sFAAsF;;;AAEtF,0DAA6B"}

node_modules/openai/resources/beta/threads/runs.mjs

@@ -0,0 +1,3 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+export * from "./runs/index.mjs";
+//# sourceMappingURL=runs.mjs.map

node_modules/openai/resources/beta/threads/runs.mjs.map

@@ -0,0 +1 @@
+{"version":3,"file":"runs.mjs","sourceRoot":"","sources":["../../../src/resources/beta/threads/runs.ts"],"names":[],"mappings":"AAAA,sFAAsF"}

node_modules/openai/resources/beta/threads/runs/index.d.mts

@@ -0,0 +1,3 @@
+export { Runs, type RequiredActionFunctionToolCall, type Run, type RunStatus, type RunCreateParams, type RunCreateParamsNonStreaming, type RunCreateParamsStreaming, type RunRetrieveParams, type RunUpdateParams, type RunListParams, type RunCancelParams, type RunSubmitToolOutputsParams, type RunSubmitToolOutputsParamsNonStreaming, type RunSubmitToolOutputsParamsStreaming, type RunsPage, type RunCreateAndPollParams, type RunCreateAndStreamParams, type RunStreamParams, type RunSubmitToolOutputsAndPollParams, type RunSubmitToolOutputsStreamParams, } from "./runs.mjs";
+export { Steps, type CodeInterpreterLogs, type CodeInterpreterOutputImage, type CodeInterpreterToolCall, type CodeInterpreterToolCallDelta, type FileSearchToolCall, type FileSearchToolCallDelta, type FunctionToolCall, type FunctionToolCallDelta, type MessageCreationStepDetails, type RunStep, type RunStepInclude, type RunStepDelta, type RunStepDeltaEvent, type RunStepDeltaMessageDelta, type ToolCall, type ToolCallDelta, type ToolCallDeltaObject, type ToolCallsStepDetails, type StepRetrieveParams, type StepListParams, type RunStepsPage, } from "./steps.mjs";
+//# sourceMappingURL=index.d.mts.map

node_modules/openai/resources/beta/threads/runs/index.d.mts.map

@@ -0,0 +1 @@
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node_modules/openai/resources/beta/threads/runs/index.d.ts

@@ -0,0 +1,3 @@
+export { Runs, type RequiredActionFunctionToolCall, type Run, type RunStatus, type RunCreateParams, type RunCreateParamsNonStreaming, type RunCreateParamsStreaming, type RunRetrieveParams, type RunUpdateParams, type RunListParams, type RunCancelParams, type RunSubmitToolOutputsParams, type RunSubmitToolOutputsParamsNonStreaming, type RunSubmitToolOutputsParamsStreaming, type RunsPage, type RunCreateAndPollParams, type RunCreateAndStreamParams, type RunStreamParams, type RunSubmitToolOutputsAndPollParams, type RunSubmitToolOutputsStreamParams, } from "./runs.js";
+export { Steps, type CodeInterpreterLogs, type CodeInterpreterOutputImage, type CodeInterpreterToolCall, type CodeInterpreterToolCallDelta, type FileSearchToolCall, type FileSearchToolCallDelta, type FunctionToolCall, type FunctionToolCallDelta, type MessageCreationStepDetails, type RunStep, type RunStepInclude, type RunStepDelta, type RunStepDeltaEvent, type RunStepDeltaMessageDelta, type ToolCall, type ToolCallDelta, type ToolCallDeltaObject, type ToolCallsStepDetails, type StepRetrieveParams, type StepListParams, type RunStepsPage, } from "./steps.js";
+//# sourceMappingURL=index.d.ts.map

node_modules/openai/resources/beta/threads/runs/index.d.ts.map

@@ -0,0 +1 @@
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