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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/beta/realtime/realtime.d.mts

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+import { APIResource } from "../../../core/resource.mjs";
+import * as RealtimeAPI from "./realtime.mjs";
+import * as Shared from "../../shared.mjs";
+import * as SessionsAPI from "./sessions.mjs";
+import { Session as SessionsAPISession, SessionCreateParams, SessionCreateResponse, Sessions } from "./sessions.mjs";
+import * as TranscriptionSessionsAPI from "./transcription-sessions.mjs";
+import { TranscriptionSession, TranscriptionSessionCreateParams, TranscriptionSessions } from "./transcription-sessions.mjs";
+export declare class Realtime extends APIResource {
+    sessions: SessionsAPI.Sessions;
+    transcriptionSessions: TranscriptionSessionsAPI.TranscriptionSessions;
+}
+/**
+ * Returned when a conversation is created. Emitted right after session creation.
+ */
+export interface ConversationCreatedEvent {
+    /**
+     * The conversation resource.
+     */
+    conversation: ConversationCreatedEvent.Conversation;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The event type, must be `conversation.created`.
+     */
+    type: 'conversation.created';
+}
+export declare namespace ConversationCreatedEvent {
+    /**
+     * The conversation resource.
+     */
+    interface Conversation {
+        /**
+         * The unique ID of the conversation.
+         */
+        id?: string;
+        /**
+         * The object type, must be `realtime.conversation`.
+         */
+        object?: 'realtime.conversation';
+    }
+}
+/**
+ * The item to add to the conversation.
+ */
+export interface ConversationItem {
+    /**
+     * The unique ID of the item, this can be generated by the client to help manage
+     * server-side context, but is not required because the server will generate one if
+     * not provided.
+     */
+    id?: string;
+    /**
+     * The arguments of the function call (for `function_call` items).
+     */
+    arguments?: string;
+    /**
+     * The ID of the function call (for `function_call` and `function_call_output`
+     * items). If passed on a `function_call_output` item, the server will check that a
+     * `function_call` item with the same ID exists in the conversation history.
+     */
+    call_id?: string;
+    /**
+     * The content of the message, applicable for `message` items.
+     *
+     * - Message items of role `system` support only `input_text` content
+     * - Message items of role `user` support `input_text` and `input_audio` content
+     * - Message items of role `assistant` support `text` content.
+     */
+    content?: Array<ConversationItemContent>;
+    /**
+     * The name of the function being called (for `function_call` items).
+     */
+    name?: string;
+    /**
+     * Identifier for the API object being returned - always `realtime.item`.
+     */
+    object?: 'realtime.item';
+    /**
+     * The output of the function call (for `function_call_output` items).
+     */
+    output?: string;
+    /**
+     * The role of the message sender (`user`, `assistant`, `system`), only applicable
+     * for `message` items.
+     */
+    role?: 'user' | 'assistant' | 'system';
+    /**
+     * The status of the item (`completed`, `incomplete`, `in_progress`). These have no
+     * effect on the conversation, but are accepted for consistency with the
+     * `conversation.item.created` event.
+     */
+    status?: 'completed' | 'incomplete' | 'in_progress';
+    /**
+     * The type of the item (`message`, `function_call`, `function_call_output`).
+     */
+    type?: 'message' | 'function_call' | 'function_call_output';
+}
+export interface ConversationItemContent {
+    /**
+     * ID of a previous conversation item to reference (for `item_reference` content
+     * types in `response.create` events). These can reference both client and server
+     * created items.
+     */
+    id?: string;
+    /**
+     * Base64-encoded audio bytes, used for `input_audio` content type.
+     */
+    audio?: string;
+    /**
+     * The text content, used for `input_text` and `text` content types.
+     */
+    text?: string;
+    /**
+     * The transcript of the audio, used for `input_audio` and `audio` content types.
+     */
+    transcript?: string;
+    /**
+     * The content type (`input_text`, `input_audio`, `item_reference`, `text`,
+     * `audio`).
+     */
+    type?: 'input_text' | 'input_audio' | 'item_reference' | 'text' | 'audio';
+}
+/**
+ * Add a new Item to the Conversation's context, including messages, function
+ * calls, and function call responses. This event can be used both to populate a
+ * "history" of the conversation and to add new items mid-stream, but has the
+ * current limitation that it cannot populate assistant audio messages.
+ *
+ * If successful, the server will respond with a `conversation.item.created` event,
+ * otherwise an `error` event will be sent.
+ */
+export interface ConversationItemCreateEvent {
+    /**
+     * The item to add to the conversation.
+     */
+    item: ConversationItem;
+    /**
+     * The event type, must be `conversation.item.create`.
+     */
+    type: 'conversation.item.create';
+    /**
+     * Optional client-generated ID used to identify this event.
+     */
+    event_id?: string;
+    /**
+     * The ID of the preceding item after which the new item will be inserted. If not
+     * set, the new item will be appended to the end of the conversation. If set to
+     * `root`, the new item will be added to the beginning of the conversation. If set
+     * to an existing ID, it allows an item to be inserted mid-conversation. If the ID
+     * cannot be found, an error will be returned and the item will not be added.
+     */
+    previous_item_id?: string;
+}
+/**
+ * Returned when a conversation item is created. There are several scenarios that
+ * produce this event:
+ *
+ * - The server is generating a Response, which if successful will produce either
+ *   one or two Items, which will be of type `message` (role `assistant`) or type
+ *   `function_call`.
+ * - The input audio buffer has been committed, either by the client or the server
+ *   (in `server_vad` mode). The server will take the content of the input audio
+ *   buffer and add it to a new user message Item.
+ * - The client has sent a `conversation.item.create` event to add a new Item to
+ *   the Conversation.
+ */
+export interface ConversationItemCreatedEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The item to add to the conversation.
+     */
+    item: ConversationItem;
+    /**
+     * The event type, must be `conversation.item.created`.
+     */
+    type: 'conversation.item.created';
+    /**
+     * The ID of the preceding item in the Conversation context, allows the client to
+     * understand the order of the conversation. Can be `null` if the item has no
+     * predecessor.
+     */
+    previous_item_id?: string | null;
+}
+/**
+ * Send this event when you want to remove any item from the conversation history.
+ * The server will respond with a `conversation.item.deleted` event, unless the
+ * item does not exist in the conversation history, in which case the server will
+ * respond with an error.
+ */
+export interface ConversationItemDeleteEvent {
+    /**
+     * The ID of the item to delete.
+     */
+    item_id: string;
+    /**
+     * The event type, must be `conversation.item.delete`.
+     */
+    type: 'conversation.item.delete';
+    /**
+     * Optional client-generated ID used to identify this event.
+     */
+    event_id?: string;
+}
+/**
+ * Returned when an item in the conversation is deleted by the client with a
+ * `conversation.item.delete` event. This event is used to synchronize the server's
+ * understanding of the conversation history with the client's view.
+ */
+export interface ConversationItemDeletedEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the item that was deleted.
+     */
+    item_id: string;
+    /**
+     * The event type, must be `conversation.item.deleted`.
+     */
+    type: 'conversation.item.deleted';
+}
+/**
+ * This event is the output of audio transcription for user audio written to the
+ * user audio buffer. Transcription begins when the input audio buffer is committed
+ * by the client or server (in `server_vad` mode). Transcription runs
+ * asynchronously with Response creation, so this event may come before or after
+ * the Response events.
+ *
+ * Realtime API models accept audio natively, and thus input transcription is a
+ * separate process run on a separate ASR (Automatic Speech Recognition) model. The
+ * transcript may diverge somewhat from the model's interpretation, and should be
+ * treated as a rough guide.
+ */
+export interface ConversationItemInputAudioTranscriptionCompletedEvent {
+    /**
+     * The index of the content part containing the audio.
+     */
+    content_index: number;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the user message item containing the audio.
+     */
+    item_id: string;
+    /**
+     * The transcribed text.
+     */
+    transcript: string;
+    /**
+     * The event type, must be `conversation.item.input_audio_transcription.completed`.
+     */
+    type: 'conversation.item.input_audio_transcription.completed';
+    /**
+     * Usage statistics for the transcription.
+     */
+    usage: ConversationItemInputAudioTranscriptionCompletedEvent.TranscriptTextUsageTokens | ConversationItemInputAudioTranscriptionCompletedEvent.TranscriptTextUsageDuration;
+    /**
+     * The log probabilities of the transcription.
+     */
+    logprobs?: Array<ConversationItemInputAudioTranscriptionCompletedEvent.Logprob> | null;
+}
+export declare namespace ConversationItemInputAudioTranscriptionCompletedEvent {
+    /**
+     * Usage statistics for models billed by token usage.
+     */
+    interface TranscriptTextUsageTokens {
+        /**
+         * Number of input tokens billed for this request.
+         */
+        input_tokens: number;
+        /**
+         * Number of output tokens generated.
+         */
+        output_tokens: number;
+        /**
+         * Total number of tokens used (input + output).
+         */
+        total_tokens: number;
+        /**
+         * The type of the usage object. Always `tokens` for this variant.
+         */
+        type: 'tokens';
+        /**
+         * Details about the input tokens billed for this request.
+         */
+        input_token_details?: TranscriptTextUsageTokens.InputTokenDetails;
+    }
+    namespace TranscriptTextUsageTokens {
+        /**
+         * Details about the input tokens billed for this request.
+         */
+        interface InputTokenDetails {
+            /**
+             * Number of audio tokens billed for this request.
+             */
+            audio_tokens?: number;
+            /**
+             * Number of text tokens billed for this request.
+             */
+            text_tokens?: number;
+        }
+    }
+    /**
+     * Usage statistics for models billed by audio input duration.
+     */
+    interface TranscriptTextUsageDuration {
+        /**
+         * Duration of the input audio in seconds.
+         */
+        seconds: number;
+        /**
+         * The type of the usage object. Always `duration` for this variant.
+         */
+        type: 'duration';
+    }
+    /**
+     * A log probability object.
+     */
+    interface Logprob {
+        /**
+         * The token that was used to generate the log probability.
+         */
+        token: string;
+        /**
+         * The bytes that were used to generate the log probability.
+         */
+        bytes: Array<number>;
+        /**
+         * The log probability of the token.
+         */
+        logprob: number;
+    }
+}
+/**
+ * Returned when the text value of an input audio transcription content part is
+ * updated.
+ */
+export interface ConversationItemInputAudioTranscriptionDeltaEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the item.
+     */
+    item_id: string;
+    /**
+     * The event type, must be `conversation.item.input_audio_transcription.delta`.
+     */
+    type: 'conversation.item.input_audio_transcription.delta';
+    /**
+     * The index of the content part in the item's content array.
+     */
+    content_index?: number;
+    /**
+     * The text delta.
+     */
+    delta?: string;
+    /**
+     * The log probabilities of the transcription.
+     */
+    logprobs?: Array<ConversationItemInputAudioTranscriptionDeltaEvent.Logprob> | null;
+}
+export declare namespace ConversationItemInputAudioTranscriptionDeltaEvent {
+    /**
+     * A log probability object.
+     */
+    interface Logprob {
+        /**
+         * The token that was used to generate the log probability.
+         */
+        token: string;
+        /**
+         * The bytes that were used to generate the log probability.
+         */
+        bytes: Array<number>;
+        /**
+         * The log probability of the token.
+         */
+        logprob: number;
+    }
+}
+/**
+ * Returned when input audio transcription is configured, and a transcription
+ * request for a user message failed. These events are separate from other `error`
+ * events so that the client can identify the related Item.
+ */
+export interface ConversationItemInputAudioTranscriptionFailedEvent {
+    /**
+     * The index of the content part containing the audio.
+     */
+    content_index: number;
+    /**
+     * Details of the transcription error.
+     */
+    error: ConversationItemInputAudioTranscriptionFailedEvent.Error;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the user message item.
+     */
+    item_id: string;
+    /**
+     * The event type, must be `conversation.item.input_audio_transcription.failed`.
+     */
+    type: 'conversation.item.input_audio_transcription.failed';
+}
+export declare namespace ConversationItemInputAudioTranscriptionFailedEvent {
+    /**
+     * Details of the transcription error.
+     */
+    interface Error {
+        /**
+         * Error code, if any.
+         */
+        code?: string;
+        /**
+         * A human-readable error message.
+         */
+        message?: string;
+        /**
+         * Parameter related to the error, if any.
+         */
+        param?: string;
+        /**
+         * The type of error.
+         */
+        type?: string;
+    }
+}
+/**
+ * Send this event when you want to retrieve the server's representation of a
+ * specific item in the conversation history. This is useful, for example, to
+ * inspect user audio after noise cancellation and VAD. The server will respond
+ * with a `conversation.item.retrieved` event, unless the item does not exist in
+ * the conversation history, in which case the server will respond with an error.
+ */
+export interface ConversationItemRetrieveEvent {
+    /**
+     * The ID of the item to retrieve.
+     */
+    item_id: string;
+    /**
+     * The event type, must be `conversation.item.retrieve`.
+     */
+    type: 'conversation.item.retrieve';
+    /**
+     * Optional client-generated ID used to identify this event.
+     */
+    event_id?: string;
+}
+/**
+ * Send this event to truncate a previous assistant message’s audio. The server
+ * will produce audio faster than realtime, so this event is useful when the user
+ * interrupts to truncate audio that has already been sent to the client but not
+ * yet played. This will synchronize the server's understanding of the audio with
+ * the client's playback.
+ *
+ * Truncating audio will delete the server-side text transcript to ensure there is
+ * not text in the context that hasn't been heard by the user.
+ *
+ * If successful, the server will respond with a `conversation.item.truncated`
+ * event.
+ */
+export interface ConversationItemTruncateEvent {
+    /**
+     * Inclusive duration up to which audio is truncated, in milliseconds. If the
+     * audio_end_ms is greater than the actual audio duration, the server will respond
+     * with an error.
+     */
+    audio_end_ms: number;
+    /**
+     * The index of the content part to truncate. Set this to 0.
+     */
+    content_index: number;
+    /**
+     * The ID of the assistant message item to truncate. Only assistant message items
+     * can be truncated.
+     */
+    item_id: string;
+    /**
+     * The event type, must be `conversation.item.truncate`.
+     */
+    type: 'conversation.item.truncate';
+    /**
+     * Optional client-generated ID used to identify this event.
+     */
+    event_id?: string;
+}
+/**
+ * Returned when an earlier assistant audio message item is truncated by the client
+ * with a `conversation.item.truncate` event. This event is used to synchronize the
+ * server's understanding of the audio with the client's playback.
+ *
+ * This action will truncate the audio and remove the server-side text transcript
+ * to ensure there is no text in the context that hasn't been heard by the user.
+ */
+export interface ConversationItemTruncatedEvent {
+    /**
+     * The duration up to which the audio was truncated, in milliseconds.
+     */
+    audio_end_ms: number;
+    /**
+     * The index of the content part that was truncated.
+     */
+    content_index: number;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the assistant message item that was truncated.
+     */
+    item_id: string;
+    /**
+     * The event type, must be `conversation.item.truncated`.
+     */
+    type: 'conversation.item.truncated';
+}
+/**
+ * The item to add to the conversation.
+ */
+export interface ConversationItemWithReference {
+    /**
+     * For an item of type (`message` | `function_call` | `function_call_output`) this
+     * field allows the client to assign the unique ID of the item. It is not required
+     * because the server will generate one if not provided.
+     *
+     * For an item of type `item_reference`, this field is required and is a reference
+     * to any item that has previously existed in the conversation.
+     */
+    id?: string;
+    /**
+     * The arguments of the function call (for `function_call` items).
+     */
+    arguments?: string;
+    /**
+     * The ID of the function call (for `function_call` and `function_call_output`
+     * items). If passed on a `function_call_output` item, the server will check that a
+     * `function_call` item with the same ID exists in the conversation history.
+     */
+    call_id?: string;
+    /**
+     * The content of the message, applicable for `message` items.
+     *
+     * - Message items of role `system` support only `input_text` content
+     * - Message items of role `user` support `input_text` and `input_audio` content
+     * - Message items of role `assistant` support `text` content.
+     */
+    content?: Array<ConversationItemWithReference.Content>;
+    /**
+     * The name of the function being called (for `function_call` items).
+     */
+    name?: string;
+    /**
+     * Identifier for the API object being returned - always `realtime.item`.
+     */
+    object?: 'realtime.item';
+    /**
+     * The output of the function call (for `function_call_output` items).
+     */
+    output?: string;
+    /**
+     * The role of the message sender (`user`, `assistant`, `system`), only applicable
+     * for `message` items.
+     */
+    role?: 'user' | 'assistant' | 'system';
+    /**
+     * The status of the item (`completed`, `incomplete`, `in_progress`). These have no
+     * effect on the conversation, but are accepted for consistency with the
+     * `conversation.item.created` event.
+     */
+    status?: 'completed' | 'incomplete' | 'in_progress';
+    /**
+     * The type of the item (`message`, `function_call`, `function_call_output`,
+     * `item_reference`).
+     */
+    type?: 'message' | 'function_call' | 'function_call_output' | 'item_reference';
+}
+export declare namespace ConversationItemWithReference {
+    interface Content {
+        /**
+         * ID of a previous conversation item to reference (for `item_reference` content
+         * types in `response.create` events). These can reference both client and server
+         * created items.
+         */
+        id?: string;
+        /**
+         * Base64-encoded audio bytes, used for `input_audio` content type.
+         */
+        audio?: string;
+        /**
+         * The text content, used for `input_text` and `text` content types.
+         */
+        text?: string;
+        /**
+         * The transcript of the audio, used for `input_audio` content type.
+         */
+        transcript?: string;
+        /**
+         * The content type (`input_text`, `input_audio`, `item_reference`, `text`).
+         */
+        type?: 'input_text' | 'input_audio' | 'item_reference' | 'text';
+    }
+}
+/**
+ * Returned when an error occurs, which could be a client problem or a server
+ * problem. Most errors are recoverable and the session will stay open, we
+ * recommend to implementors to monitor and log error messages by default.
+ */
+export interface ErrorEvent {
+    /**
+     * Details of the error.
+     */
+    error: ErrorEvent.Error;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The event type, must be `error`.
+     */
+    type: 'error';
+}
+export declare namespace ErrorEvent {
+    /**
+     * Details of the error.
+     */
+    interface Error {
+        /**
+         * A human-readable error message.
+         */
+        message: string;
+        /**
+         * The type of error (e.g., "invalid_request_error", "server_error").
+         */
+        type: string;
+        /**
+         * Error code, if any.
+         */
+        code?: string | null;
+        /**
+         * The event_id of the client event that caused the error, if applicable.
+         */
+        event_id?: string | null;
+        /**
+         * Parameter related to the error, if any.
+         */
+        param?: string | null;
+    }
+}
+/**
+ * Send this event to append audio bytes to the input audio buffer. The audio
+ * buffer is temporary storage you can write to and later commit. In Server VAD
+ * mode, the audio buffer is used to detect speech and the server will decide when
+ * to commit. When Server VAD is disabled, you must commit the audio buffer
+ * manually.
+ *
+ * The client may choose how much audio to place in each event up to a maximum of
+ * 15 MiB, for example streaming smaller chunks from the client may allow the VAD
+ * to be more responsive. Unlike made other client events, the server will not send
+ * a confirmation response to this event.
+ */
+export interface InputAudioBufferAppendEvent {
+    /**
+     * Base64-encoded audio bytes. This must be in the format specified by the
+     * `input_audio_format` field in the session configuration.
+     */
+    audio: string;
+    /**
+     * The event type, must be `input_audio_buffer.append`.
+     */
+    type: 'input_audio_buffer.append';
+    /**
+     * Optional client-generated ID used to identify this event.
+     */
+    event_id?: string;
+}
+/**
+ * Send this event to clear the audio bytes in the buffer. The server will respond
+ * with an `input_audio_buffer.cleared` event.
+ */
+export interface InputAudioBufferClearEvent {
+    /**
+     * The event type, must be `input_audio_buffer.clear`.
+     */
+    type: 'input_audio_buffer.clear';
+    /**
+     * Optional client-generated ID used to identify this event.
+     */
+    event_id?: string;
+}
+/**
+ * Returned when the input audio buffer is cleared by the client with a
+ * `input_audio_buffer.clear` event.
+ */
+export interface InputAudioBufferClearedEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The event type, must be `input_audio_buffer.cleared`.
+     */
+    type: 'input_audio_buffer.cleared';
+}
+/**
+ * Send this event to commit the user input audio buffer, which will create a new
+ * user message item in the conversation. This event will produce an error if the
+ * input audio buffer is empty. When in Server VAD mode, the client does not need
+ * to send this event, the server will commit the audio buffer automatically.
+ *
+ * Committing the input audio buffer will trigger input audio transcription (if
+ * enabled in session configuration), but it will not create a response from the
+ * model. The server will respond with an `input_audio_buffer.committed` event.
+ */
+export interface InputAudioBufferCommitEvent {
+    /**
+     * The event type, must be `input_audio_buffer.commit`.
+     */
+    type: 'input_audio_buffer.commit';
+    /**
+     * Optional client-generated ID used to identify this event.
+     */
+    event_id?: string;
+}
+/**
+ * Returned when an input audio buffer is committed, either by the client or
+ * automatically in server VAD mode. The `item_id` property is the ID of the user
+ * message item that will be created, thus a `conversation.item.created` event will
+ * also be sent to the client.
+ */
+export interface InputAudioBufferCommittedEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the user message item that will be created.
+     */
+    item_id: string;
+    /**
+     * The event type, must be `input_audio_buffer.committed`.
+     */
+    type: 'input_audio_buffer.committed';
+    /**
+     * The ID of the preceding item after which the new item will be inserted. Can be
+     * `null` if the item has no predecessor.
+     */
+    previous_item_id?: string | null;
+}
+/**
+ * Sent by the server when in `server_vad` mode to indicate that speech has been
+ * detected in the audio buffer. This can happen any time audio is added to the
+ * buffer (unless speech is already detected). The client may want to use this
+ * event to interrupt audio playback or provide visual feedback to the user.
+ *
+ * The client should expect to receive a `input_audio_buffer.speech_stopped` event
+ * when speech stops. The `item_id` property is the ID of the user message item
+ * that will be created when speech stops and will also be included in the
+ * `input_audio_buffer.speech_stopped` event (unless the client manually commits
+ * the audio buffer during VAD activation).
+ */
+export interface InputAudioBufferSpeechStartedEvent {
+    /**
+     * Milliseconds from the start of all audio written to the buffer during the
+     * session when speech was first detected. This will correspond to the beginning of
+     * audio sent to the model, and thus includes the `prefix_padding_ms` configured in
+     * the Session.
+     */
+    audio_start_ms: number;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the user message item that will be created when speech stops.
+     */
+    item_id: string;
+    /**
+     * The event type, must be `input_audio_buffer.speech_started`.
+     */
+    type: 'input_audio_buffer.speech_started';
+}
+/**
+ * Returned in `server_vad` mode when the server detects the end of speech in the
+ * audio buffer. The server will also send an `conversation.item.created` event
+ * with the user message item that is created from the audio buffer.
+ */
+export interface InputAudioBufferSpeechStoppedEvent {
+    /**
+     * Milliseconds since the session started when speech stopped. This will correspond
+     * to the end of audio sent to the model, and thus includes the
+     * `min_silence_duration_ms` configured in the Session.
+     */
+    audio_end_ms: number;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the user message item that will be created.
+     */
+    item_id: string;
+    /**
+     * The event type, must be `input_audio_buffer.speech_stopped`.
+     */
+    type: 'input_audio_buffer.speech_stopped';
+}
+/**
+ * Emitted at the beginning of a Response to indicate the updated rate limits. When
+ * a Response is created some tokens will be "reserved" for the output tokens, the
+ * rate limits shown here reflect that reservation, which is then adjusted
+ * accordingly once the Response is completed.
+ */
+export interface RateLimitsUpdatedEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * List of rate limit information.
+     */
+    rate_limits: Array<RateLimitsUpdatedEvent.RateLimit>;
+    /**
+     * The event type, must be `rate_limits.updated`.
+     */
+    type: 'rate_limits.updated';
+}
+export declare namespace RateLimitsUpdatedEvent {
+    interface RateLimit {
+        /**
+         * The maximum allowed value for the rate limit.
+         */
+        limit?: number;
+        /**
+         * The name of the rate limit (`requests`, `tokens`).
+         */
+        name?: 'requests' | 'tokens';
+        /**
+         * The remaining value before the limit is reached.
+         */
+        remaining?: number;
+        /**
+         * Seconds until the rate limit resets.
+         */
+        reset_seconds?: number;
+    }
+}
+/**
+ * A realtime client event.
+ */
+export type RealtimeClientEvent = ConversationItemCreateEvent | ConversationItemDeleteEvent | ConversationItemRetrieveEvent | ConversationItemTruncateEvent | InputAudioBufferAppendEvent | InputAudioBufferClearEvent | RealtimeClientEvent.OutputAudioBufferClear | InputAudioBufferCommitEvent | ResponseCancelEvent | ResponseCreateEvent | SessionUpdateEvent | TranscriptionSessionUpdate;
+export declare namespace RealtimeClientEvent {
+    /**
+     * **WebRTC Only:** Emit to cut off the current audio response. This will trigger
+     * the server to stop generating audio and emit a `output_audio_buffer.cleared`
+     * event. This event should be preceded by a `response.cancel` client event to stop
+     * the generation of the current response.
+     * [Learn more](https://platform.openai.com/docs/guides/realtime-conversations#client-and-server-events-for-audio-in-webrtc).
+     */
+    interface OutputAudioBufferClear {
+        /**
+         * The event type, must be `output_audio_buffer.clear`.
+         */
+        type: 'output_audio_buffer.clear';
+        /**
+         * The unique ID of the client event used for error handling.
+         */
+        event_id?: string;
+    }
+}
+/**
+ * The response resource.
+ */
+export interface RealtimeResponse {
+    /**
+     * The unique ID of the response.
+     */
+    id?: string;
+    /**
+     * Which conversation the response is added to, determined by the `conversation`
+     * field in the `response.create` event. If `auto`, the response will be added to
+     * the default conversation and the value of `conversation_id` will be an id like
+     * `conv_1234`. If `none`, the response will not be added to any conversation and
+     * the value of `conversation_id` will be `null`. If responses are being triggered
+     * by server VAD, the response will be added to the default conversation, thus the
+     * `conversation_id` will be an id like `conv_1234`.
+     */
+    conversation_id?: string;
+    /**
+     * Maximum number of output tokens for a single assistant response, inclusive of
+     * tool calls, that was used in this response.
+     */
+    max_output_tokens?: number | 'inf';
+    /**
+     * 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 set of modalities the model used to respond. If there are multiple
+     * modalities, the model will pick one, for example if `modalities` is
+     * `["text", "audio"]`, the model could be responding in either text or audio.
+     */
+    modalities?: Array<'text' | 'audio'>;
+    /**
+     * The object type, must be `realtime.response`.
+     */
+    object?: 'realtime.response';
+    /**
+     * The list of output items generated by the response.
+     */
+    output?: Array<ConversationItem>;
+    /**
+     * The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`.
+     */
+    output_audio_format?: 'pcm16' | 'g711_ulaw' | 'g711_alaw';
+    /**
+     * The final status of the response (`completed`, `cancelled`, `failed`, or
+     * `incomplete`, `in_progress`).
+     */
+    status?: 'completed' | 'cancelled' | 'failed' | 'incomplete' | 'in_progress';
+    /**
+     * Additional details about the status.
+     */
+    status_details?: RealtimeResponseStatus;
+    /**
+     * Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8.
+     */
+    temperature?: number;
+    /**
+     * Usage statistics for the Response, this will correspond to billing. A Realtime
+     * API session will maintain a conversation context and append new Items to the
+     * Conversation, thus output from previous turns (text and audio tokens) will
+     * become the input for later turns.
+     */
+    usage?: RealtimeResponseUsage;
+    /**
+     * The voice the model used to respond. Current voice options are `alloy`, `ash`,
+     * `ballad`, `coral`, `echo`, `sage`, `shimmer`, and `verse`.
+     */
+    voice?: (string & {}) | 'alloy' | 'ash' | 'ballad' | 'coral' | 'echo' | 'sage' | 'shimmer' | 'verse';
+}
+/**
+ * Additional details about the status.
+ */
+export interface RealtimeResponseStatus {
+    /**
+     * A description of the error that caused the response to fail, populated when the
+     * `status` is `failed`.
+     */
+    error?: RealtimeResponseStatus.Error;
+    /**
+     * The reason the Response did not complete. For a `cancelled` Response, one of
+     * `turn_detected` (the server VAD detected a new start of speech) or
+     * `client_cancelled` (the client sent a cancel event). For an `incomplete`
+     * Response, one of `max_output_tokens` or `content_filter` (the server-side safety
+     * filter activated and cut off the response).
+     */
+    reason?: 'turn_detected' | 'client_cancelled' | 'max_output_tokens' | 'content_filter';
+    /**
+     * The type of error that caused the response to fail, corresponding with the
+     * `status` field (`completed`, `cancelled`, `incomplete`, `failed`).
+     */
+    type?: 'completed' | 'cancelled' | 'incomplete' | 'failed';
+}
+export declare namespace RealtimeResponseStatus {
+    /**
+     * A description of the error that caused the response to fail, populated when the
+     * `status` is `failed`.
+     */
+    interface Error {
+        /**
+         * Error code, if any.
+         */
+        code?: string;
+        /**
+         * The type of error.
+         */
+        type?: string;
+    }
+}
+/**
+ * Usage statistics for the Response, this will correspond to billing. A Realtime
+ * API session will maintain a conversation context and append new Items to the
+ * Conversation, thus output from previous turns (text and audio tokens) will
+ * become the input for later turns.
+ */
+export interface RealtimeResponseUsage {
+    /**
+     * Details about the input tokens used in the Response.
+     */
+    input_token_details?: RealtimeResponseUsage.InputTokenDetails;
+    /**
+     * The number of input tokens used in the Response, including text and audio
+     * tokens.
+     */
+    input_tokens?: number;
+    /**
+     * Details about the output tokens used in the Response.
+     */
+    output_token_details?: RealtimeResponseUsage.OutputTokenDetails;
+    /**
+     * The number of output tokens sent in the Response, including text and audio
+     * tokens.
+     */
+    output_tokens?: number;
+    /**
+     * The total number of tokens in the Response including input and output text and
+     * audio tokens.
+     */
+    total_tokens?: number;
+}
+export declare namespace RealtimeResponseUsage {
+    /**
+     * Details about the input tokens used in the Response.
+     */
+    interface InputTokenDetails {
+        /**
+         * The number of audio tokens used in the Response.
+         */
+        audio_tokens?: number;
+        /**
+         * The number of cached tokens used in the Response.
+         */
+        cached_tokens?: number;
+        /**
+         * The number of text tokens used in the Response.
+         */
+        text_tokens?: number;
+    }
+    /**
+     * Details about the output tokens used in the Response.
+     */
+    interface OutputTokenDetails {
+        /**
+         * The number of audio tokens used in the Response.
+         */
+        audio_tokens?: number;
+        /**
+         * The number of text tokens used in the Response.
+         */
+        text_tokens?: number;
+    }
+}
+/**
+ * A realtime server event.
+ */
+export type RealtimeServerEvent = ConversationCreatedEvent | ConversationItemCreatedEvent | ConversationItemDeletedEvent | ConversationItemInputAudioTranscriptionCompletedEvent | ConversationItemInputAudioTranscriptionDeltaEvent | ConversationItemInputAudioTranscriptionFailedEvent | RealtimeServerEvent.ConversationItemRetrieved | ConversationItemTruncatedEvent | ErrorEvent | InputAudioBufferClearedEvent | InputAudioBufferCommittedEvent | InputAudioBufferSpeechStartedEvent | InputAudioBufferSpeechStoppedEvent | RateLimitsUpdatedEvent | ResponseAudioDeltaEvent | ResponseAudioDoneEvent | ResponseAudioTranscriptDeltaEvent | ResponseAudioTranscriptDoneEvent | ResponseContentPartAddedEvent | ResponseContentPartDoneEvent | ResponseCreatedEvent | ResponseDoneEvent | ResponseFunctionCallArgumentsDeltaEvent | ResponseFunctionCallArgumentsDoneEvent | ResponseOutputItemAddedEvent | ResponseOutputItemDoneEvent | ResponseTextDeltaEvent | ResponseTextDoneEvent | SessionCreatedEvent | SessionUpdatedEvent | TranscriptionSessionUpdatedEvent | RealtimeServerEvent.OutputAudioBufferStarted | RealtimeServerEvent.OutputAudioBufferStopped | RealtimeServerEvent.OutputAudioBufferCleared;
+export declare namespace RealtimeServerEvent {
+    /**
+     * Returned when a conversation item is retrieved with
+     * `conversation.item.retrieve`.
+     */
+    interface ConversationItemRetrieved {
+        /**
+         * The unique ID of the server event.
+         */
+        event_id: string;
+        /**
+         * The item to add to the conversation.
+         */
+        item: RealtimeAPI.ConversationItem;
+        /**
+         * The event type, must be `conversation.item.retrieved`.
+         */
+        type: 'conversation.item.retrieved';
+    }
+    /**
+     * **WebRTC Only:** Emitted when the server begins streaming audio to the client.
+     * This event is emitted after an audio content part has been added
+     * (`response.content_part.added`) to the response.
+     * [Learn more](https://platform.openai.com/docs/guides/realtime-conversations#client-and-server-events-for-audio-in-webrtc).
+     */
+    interface OutputAudioBufferStarted {
+        /**
+         * The unique ID of the server event.
+         */
+        event_id: string;
+        /**
+         * The unique ID of the response that produced the audio.
+         */
+        response_id: string;
+        /**
+         * The event type, must be `output_audio_buffer.started`.
+         */
+        type: 'output_audio_buffer.started';
+    }
+    /**
+     * **WebRTC Only:** Emitted when the output audio buffer has been completely
+     * drained on the server, and no more audio is forthcoming. This event is emitted
+     * after the full response data has been sent to the client (`response.done`).
+     * [Learn more](https://platform.openai.com/docs/guides/realtime-conversations#client-and-server-events-for-audio-in-webrtc).
+     */
+    interface OutputAudioBufferStopped {
+        /**
+         * The unique ID of the server event.
+         */
+        event_id: string;
+        /**
+         * The unique ID of the response that produced the audio.
+         */
+        response_id: string;
+        /**
+         * The event type, must be `output_audio_buffer.stopped`.
+         */
+        type: 'output_audio_buffer.stopped';
+    }
+    /**
+     * **WebRTC Only:** Emitted when the output audio buffer is cleared. This happens
+     * either in VAD mode when the user has interrupted
+     * (`input_audio_buffer.speech_started`), or when the client has emitted the
+     * `output_audio_buffer.clear` event to manually cut off the current audio
+     * response.
+     * [Learn more](https://platform.openai.com/docs/guides/realtime-conversations#client-and-server-events-for-audio-in-webrtc).
+     */
+    interface OutputAudioBufferCleared {
+        /**
+         * The unique ID of the server event.
+         */
+        event_id: string;
+        /**
+         * The unique ID of the response that produced the audio.
+         */
+        response_id: string;
+        /**
+         * The event type, must be `output_audio_buffer.cleared`.
+         */
+        type: 'output_audio_buffer.cleared';
+    }
+}
+/**
+ * Returned when the model-generated audio is updated.
+ */
+export interface ResponseAudioDeltaEvent {
+    /**
+     * The index of the content part in the item's content array.
+     */
+    content_index: number;
+    /**
+     * Base64-encoded audio data delta.
+     */
+    delta: string;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the item.
+     */
+    item_id: string;
+    /**
+     * The index of the output item in the response.
+     */
+    output_index: number;
+    /**
+     * The ID of the response.
+     */
+    response_id: string;
+    /**
+     * The event type, must be `response.audio.delta`.
+     */
+    type: 'response.audio.delta';
+}
+/**
+ * Returned when the model-generated audio is done. Also emitted when a Response is
+ * interrupted, incomplete, or cancelled.
+ */
+export interface ResponseAudioDoneEvent {
+    /**
+     * The index of the content part in the item's content array.
+     */
+    content_index: number;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the item.
+     */
+    item_id: string;
+    /**
+     * The index of the output item in the response.
+     */
+    output_index: number;
+    /**
+     * The ID of the response.
+     */
+    response_id: string;
+    /**
+     * The event type, must be `response.audio.done`.
+     */
+    type: 'response.audio.done';
+}
+/**
+ * Returned when the model-generated transcription of audio output is updated.
+ */
+export interface ResponseAudioTranscriptDeltaEvent {
+    /**
+     * The index of the content part in the item's content array.
+     */
+    content_index: number;
+    /**
+     * The transcript delta.
+     */
+    delta: string;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the item.
+     */
+    item_id: string;
+    /**
+     * The index of the output item in the response.
+     */
+    output_index: number;
+    /**
+     * The ID of the response.
+     */
+    response_id: string;
+    /**
+     * The event type, must be `response.audio_transcript.delta`.
+     */
+    type: 'response.audio_transcript.delta';
+}
+/**
+ * Returned when the model-generated transcription of audio output is done
+ * streaming. Also emitted when a Response is interrupted, incomplete, or
+ * cancelled.
+ */
+export interface ResponseAudioTranscriptDoneEvent {
+    /**
+     * The index of the content part in the item's content array.
+     */
+    content_index: number;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the item.
+     */
+    item_id: string;
+    /**
+     * The index of the output item in the response.
+     */
+    output_index: number;
+    /**
+     * The ID of the response.
+     */
+    response_id: string;
+    /**
+     * The final transcript of the audio.
+     */
+    transcript: string;
+    /**
+     * The event type, must be `response.audio_transcript.done`.
+     */
+    type: 'response.audio_transcript.done';
+}
+/**
+ * Send this event to cancel an in-progress response. The server will respond with
+ * a `response.done` event with a status of `response.status=cancelled`. If there
+ * is no response to cancel, the server will respond with an error.
+ */
+export interface ResponseCancelEvent {
+    /**
+     * The event type, must be `response.cancel`.
+     */
+    type: 'response.cancel';
+    /**
+     * Optional client-generated ID used to identify this event.
+     */
+    event_id?: string;
+    /**
+     * A specific response ID to cancel - if not provided, will cancel an in-progress
+     * response in the default conversation.
+     */
+    response_id?: string;
+}
+/**
+ * Returned when a new content part is added to an assistant message item during
+ * response generation.
+ */
+export interface ResponseContentPartAddedEvent {
+    /**
+     * The index of the content part in the item's content array.
+     */
+    content_index: number;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the item to which the content part was added.
+     */
+    item_id: string;
+    /**
+     * The index of the output item in the response.
+     */
+    output_index: number;
+    /**
+     * The content part that was added.
+     */
+    part: ResponseContentPartAddedEvent.Part;
+    /**
+     * The ID of the response.
+     */
+    response_id: string;
+    /**
+     * The event type, must be `response.content_part.added`.
+     */
+    type: 'response.content_part.added';
+}
+export declare namespace ResponseContentPartAddedEvent {
+    /**
+     * The content part that was added.
+     */
+    interface Part {
+        /**
+         * Base64-encoded audio data (if type is "audio").
+         */
+        audio?: string;
+        /**
+         * The text content (if type is "text").
+         */
+        text?: string;
+        /**
+         * The transcript of the audio (if type is "audio").
+         */
+        transcript?: string;
+        /**
+         * The content type ("text", "audio").
+         */
+        type?: 'text' | 'audio';
+    }
+}
+/**
+ * Returned when a content part is done streaming in an assistant message item.
+ * Also emitted when a Response is interrupted, incomplete, or cancelled.
+ */
+export interface ResponseContentPartDoneEvent {
+    /**
+     * The index of the content part in the item's content array.
+     */
+    content_index: number;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the item.
+     */
+    item_id: string;
+    /**
+     * The index of the output item in the response.
+     */
+    output_index: number;
+    /**
+     * The content part that is done.
+     */
+    part: ResponseContentPartDoneEvent.Part;
+    /**
+     * The ID of the response.
+     */
+    response_id: string;
+    /**
+     * The event type, must be `response.content_part.done`.
+     */
+    type: 'response.content_part.done';
+}
+export declare namespace ResponseContentPartDoneEvent {
+    /**
+     * The content part that is done.
+     */
+    interface Part {
+        /**
+         * Base64-encoded audio data (if type is "audio").
+         */
+        audio?: string;
+        /**
+         * The text content (if type is "text").
+         */
+        text?: string;
+        /**
+         * The transcript of the audio (if type is "audio").
+         */
+        transcript?: string;
+        /**
+         * The content type ("text", "audio").
+         */
+        type?: 'text' | 'audio';
+    }
+}
+/**
+ * This event instructs the server to create a Response, which means triggering
+ * model inference. When in Server VAD mode, the server will create Responses
+ * automatically.
+ *
+ * A Response will include at least one Item, and may have two, in which case the
+ * second will be a function call. These Items will be appended to the conversation
+ * history.
+ *
+ * The server will respond with a `response.created` event, events for Items and
+ * content created, and finally a `response.done` event to indicate the Response is
+ * complete.
+ *
+ * The `response.create` event includes inference configuration like
+ * `instructions`, and `temperature`. These fields will override the Session's
+ * configuration for this Response only.
+ */
+export interface ResponseCreateEvent {
+    /**
+     * The event type, must be `response.create`.
+     */
+    type: 'response.create';
+    /**
+     * Optional client-generated ID used to identify this event.
+     */
+    event_id?: string;
+    /**
+     * Create a new Realtime response with these parameters
+     */
+    response?: ResponseCreateEvent.Response;
+}
+export declare namespace ResponseCreateEvent {
+    /**
+     * Create a new Realtime response with these parameters
+     */
+    interface Response {
+        /**
+         * Controls which conversation the response is added to. Currently supports `auto`
+         * and `none`, with `auto` as the default value. The `auto` value means that the
+         * contents of the response will be added to the default conversation. Set this to
+         * `none` to create an out-of-band response which will not add items to default
+         * conversation.
+         */
+        conversation?: (string & {}) | 'auto' | 'none';
+        /**
+         * Input items to include in the prompt for the model. Using this field creates a
+         * new context for this Response instead of using the default conversation. An
+         * empty array `[]` will clear the context for this Response. Note that this can
+         * include references to items from the default conversation.
+         */
+        input?: Array<RealtimeAPI.ConversationItemWithReference>;
+        /**
+         * 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';
+        /**
+         * 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 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?: 'pcm16' | 'g711_ulaw' | 'g711_alaw';
+        /**
+         * 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, like `{"type": "function", "function": {"name": "my_function"}}`.
+         */
+        tool_choice?: string;
+        /**
+         * Tools (functions) available to the model.
+         */
+        tools?: Array<Response.Tool>;
+        /**
+         * 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';
+    }
+    namespace Response {
+        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';
+        }
+    }
+}
+/**
+ * Returned when a new Response is created. The first event of response creation,
+ * where the response is in an initial state of `in_progress`.
+ */
+export interface ResponseCreatedEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The response resource.
+     */
+    response: RealtimeResponse;
+    /**
+     * The event type, must be `response.created`.
+     */
+    type: 'response.created';
+}
+/**
+ * Returned when a Response is done streaming. Always emitted, no matter the final
+ * state. The Response object included in the `response.done` event will include
+ * all output Items in the Response but will omit the raw audio data.
+ */
+export interface ResponseDoneEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The response resource.
+     */
+    response: RealtimeResponse;
+    /**
+     * The event type, must be `response.done`.
+     */
+    type: 'response.done';
+}
+/**
+ * Returned when the model-generated function call arguments are updated.
+ */
+export interface ResponseFunctionCallArgumentsDeltaEvent {
+    /**
+     * The ID of the function call.
+     */
+    call_id: string;
+    /**
+     * The arguments delta as a JSON string.
+     */
+    delta: string;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the function call item.
+     */
+    item_id: string;
+    /**
+     * The index of the output item in the response.
+     */
+    output_index: number;
+    /**
+     * The ID of the response.
+     */
+    response_id: string;
+    /**
+     * The event type, must be `response.function_call_arguments.delta`.
+     */
+    type: 'response.function_call_arguments.delta';
+}
+/**
+ * Returned when the model-generated function call arguments are done streaming.
+ * Also emitted when a Response is interrupted, incomplete, or cancelled.
+ */
+export interface ResponseFunctionCallArgumentsDoneEvent {
+    /**
+     * The final arguments as a JSON string.
+     */
+    arguments: string;
+    /**
+     * The ID of the function call.
+     */
+    call_id: string;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the function call item.
+     */
+    item_id: string;
+    /**
+     * The index of the output item in the response.
+     */
+    output_index: number;
+    /**
+     * The ID of the response.
+     */
+    response_id: string;
+    /**
+     * The event type, must be `response.function_call_arguments.done`.
+     */
+    type: 'response.function_call_arguments.done';
+}
+/**
+ * Returned when a new Item is created during Response generation.
+ */
+export interface ResponseOutputItemAddedEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The item to add to the conversation.
+     */
+    item: ConversationItem;
+    /**
+     * The index of the output item in the Response.
+     */
+    output_index: number;
+    /**
+     * The ID of the Response to which the item belongs.
+     */
+    response_id: string;
+    /**
+     * The event type, must be `response.output_item.added`.
+     */
+    type: 'response.output_item.added';
+}
+/**
+ * Returned when an Item is done streaming. Also emitted when a Response is
+ * interrupted, incomplete, or cancelled.
+ */
+export interface ResponseOutputItemDoneEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The item to add to the conversation.
+     */
+    item: ConversationItem;
+    /**
+     * The index of the output item in the Response.
+     */
+    output_index: number;
+    /**
+     * The ID of the Response to which the item belongs.
+     */
+    response_id: string;
+    /**
+     * The event type, must be `response.output_item.done`.
+     */
+    type: 'response.output_item.done';
+}
+/**
+ * Returned when the text value of a "text" content part is updated.
+ */
+export interface ResponseTextDeltaEvent {
+    /**
+     * The index of the content part in the item's content array.
+     */
+    content_index: number;
+    /**
+     * The text delta.
+     */
+    delta: string;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the item.
+     */
+    item_id: string;
+    /**
+     * The index of the output item in the response.
+     */
+    output_index: number;
+    /**
+     * The ID of the response.
+     */
+    response_id: string;
+    /**
+     * The event type, must be `response.text.delta`.
+     */
+    type: 'response.text.delta';
+}
+/**
+ * Returned when the text value of a "text" content part is done streaming. Also
+ * emitted when a Response is interrupted, incomplete, or cancelled.
+ */
+export interface ResponseTextDoneEvent {
+    /**
+     * The index of the content part in the item's content array.
+     */
+    content_index: number;
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * The ID of the item.
+     */
+    item_id: string;
+    /**
+     * The index of the output item in the response.
+     */
+    output_index: number;
+    /**
+     * The ID of the response.
+     */
+    response_id: string;
+    /**
+     * The final text content.
+     */
+    text: string;
+    /**
+     * The event type, must be `response.text.done`.
+     */
+    type: 'response.text.done';
+}
+/**
+ * Returned when a Session is created. Emitted automatically when a new connection
+ * is established as the first server event. This event will contain the default
+ * Session configuration.
+ */
+export interface SessionCreatedEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * Realtime session object configuration.
+     */
+    session: SessionsAPI.Session;
+    /**
+     * The event type, must be `session.created`.
+     */
+    type: 'session.created';
+}
+/**
+ * Send this event to update the session’s default configuration. The client may
+ * send this event at any time to update any field, except for `voice`. However,
+ * note that once a session has been initialized with a particular `model`, it
+ * can’t be changed to another model using `session.update`.
+ *
+ * When the server receives a `session.update`, it will respond with a
+ * `session.updated` event showing the full, effective configuration. Only the
+ * fields that are present are updated. To clear a field like `instructions`, pass
+ * an empty string.
+ */
+export interface SessionUpdateEvent {
+    /**
+     * Realtime session object configuration.
+     */
+    session: SessionUpdateEvent.Session;
+    /**
+     * The event type, must be `session.update`.
+     */
+    type: 'session.update';
+    /**
+     * Optional client-generated ID used to identify this event.
+     */
+    event_id?: string;
+}
+export declare namespace SessionUpdateEvent {
+    /**
+     * Realtime session object configuration.
+     */
+    interface Session {
+        /**
+         * Configuration options for the generated client secret.
+         */
+        client_secret?: Session.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?: 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';
+    }
+    namespace Session {
+        /**
+         * 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';
+        }
+    }
+}
+/**
+ * Returned when a session is updated with a `session.update` event, unless there
+ * is an error.
+ */
+export interface SessionUpdatedEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * Realtime session object configuration.
+     */
+    session: SessionsAPI.Session;
+    /**
+     * The event type, must be `session.updated`.
+     */
+    type: 'session.updated';
+}
+/**
+ * Send this event to update a transcription session.
+ */
+export interface TranscriptionSessionUpdate {
+    /**
+     * Realtime transcription session object configuration.
+     */
+    session: TranscriptionSessionUpdate.Session;
+    /**
+     * The event type, must be `transcription_session.update`.
+     */
+    type: 'transcription_session.update';
+    /**
+     * Optional client-generated ID used to identify this event.
+     */
+    event_id?: string;
+}
+export declare namespace TranscriptionSessionUpdate {
+    /**
+     * Realtime transcription session object configuration.
+     */
+    interface Session {
+        /**
+         * Configuration options for the generated client secret.
+         */
+        client_secret?: Session.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?: Session.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?: Session.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?: Session.TurnDetection;
+    }
+    namespace Session {
+        /**
+         * 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';
+        }
+    }
+}
+/**
+ * Returned when a transcription session is updated with a
+ * `transcription_session.update` event, unless there is an error.
+ */
+export interface TranscriptionSessionUpdatedEvent {
+    /**
+     * The unique ID of the server event.
+     */
+    event_id: string;
+    /**
+     * 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.
+     */
+    session: TranscriptionSessionsAPI.TranscriptionSession;
+    /**
+     * The event type, must be `transcription_session.updated`.
+     */
+    type: 'transcription_session.updated';
+}
+export declare namespace Realtime {
+    export { 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 { Sessions as Sessions, type SessionsAPISession as Session, type SessionCreateResponse as SessionCreateResponse, type SessionCreateParams as SessionCreateParams, };
+    export { TranscriptionSessions as TranscriptionSessions, type TranscriptionSession as TranscriptionSession, type TranscriptionSessionCreateParams as TranscriptionSessionCreateParams, };
+}
+//# sourceMappingURL=realtime.d.mts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/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

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/beta/threads/messages.js.map

@@ -0,0 +1 @@
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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/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

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/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

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/beta/threads/runs/runs.d.mts.map

@@ -0,0 +1 @@
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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/beta/threads/runs/steps.d.ts

@@ -0,0 +1,615 @@
+import { APIResource } from "../../../../core/resource.js";
+import * as StepsAPI from "./steps.js";
+import * as Shared from "../../../shared.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 Steps extends APIResource {
+    /**
+     * Retrieves a run step.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    retrieve(stepID: string, params: StepRetrieveParams, options?: RequestOptions): APIPromise<RunStep>;
+    /**
+     * Returns a list of run steps belonging to a run.
+     *
+     * @deprecated The Assistants API is deprecated in favor of the Responses API
+     */
+    list(runID: string, params: StepListParams, options?: RequestOptions): PagePromise<RunStepsPage, RunStep>;
+}
+export type RunStepsPage = CursorPage<RunStep>;
+/**
+ * Text output from the Code Interpreter tool call as part of a run step.
+ */
+export interface CodeInterpreterLogs {
+    /**
+     * The index of the output in the outputs array.
+     */
+    index: number;
+    /**
+     * Always `logs`.
+     */
+    type: 'logs';
+    /**
+     * The text output from the Code Interpreter tool call.
+     */
+    logs?: string;
+}
+export interface CodeInterpreterOutputImage {
+    /**
+     * The index of the output in the outputs array.
+     */
+    index: number;
+    /**
+     * Always `image`.
+     */
+    type: 'image';
+    image?: CodeInterpreterOutputImage.Image;
+}
+export declare namespace CodeInterpreterOutputImage {
+    interface Image {
+        /**
+         * The [file](https://platform.openai.com/docs/api-reference/files) ID of the
+         * image.
+         */
+        file_id?: string;
+    }
+}
+/**
+ * Details of the Code Interpreter tool call the run step was involved in.
+ */
+export interface CodeInterpreterToolCall {
+    /**
+     * The ID of the tool call.
+     */
+    id: string;
+    /**
+     * The Code Interpreter tool call definition.
+     */
+    code_interpreter: CodeInterpreterToolCall.CodeInterpreter;
+    /**
+     * The type of tool call. This is always going to be `code_interpreter` for this
+     * type of tool call.
+     */
+    type: 'code_interpreter';
+}
+export declare namespace CodeInterpreterToolCall {
+    /**
+     * The Code Interpreter tool call definition.
+     */
+    interface CodeInterpreter {
+        /**
+         * The input to the Code Interpreter tool call.
+         */
+        input: string;
+        /**
+         * The outputs from the Code Interpreter tool call. Code Interpreter can output one
+         * or more items, including text (`logs`) or images (`image`). Each of these are
+         * represented by a different object type.
+         */
+        outputs: Array<CodeInterpreter.Logs | CodeInterpreter.Image>;
+    }
+    namespace CodeInterpreter {
+        /**
+         * Text output from the Code Interpreter tool call as part of a run step.
+         */
+        interface Logs {
+            /**
+             * The text output from the Code Interpreter tool call.
+             */
+            logs: string;
+            /**
+             * Always `logs`.
+             */
+            type: 'logs';
+        }
+        interface Image {
+            image: Image.Image;
+            /**
+             * Always `image`.
+             */
+            type: 'image';
+        }
+        namespace Image {
+            interface Image {
+                /**
+                 * The [file](https://platform.openai.com/docs/api-reference/files) ID of the
+                 * image.
+                 */
+                file_id: string;
+            }
+        }
+    }
+}
+/**
+ * Details of the Code Interpreter tool call the run step was involved in.
+ */
+export interface CodeInterpreterToolCallDelta {
+    /**
+     * The index of the tool call in the tool calls array.
+     */
+    index: number;
+    /**
+     * The type of tool call. This is always going to be `code_interpreter` for this
+     * type of tool call.
+     */
+    type: 'code_interpreter';
+    /**
+     * The ID of the tool call.
+     */
+    id?: string;
+    /**
+     * The Code Interpreter tool call definition.
+     */
+    code_interpreter?: CodeInterpreterToolCallDelta.CodeInterpreter;
+}
+export declare namespace CodeInterpreterToolCallDelta {
+    /**
+     * The Code Interpreter tool call definition.
+     */
+    interface CodeInterpreter {
+        /**
+         * The input to the Code Interpreter tool call.
+         */
+        input?: string;
+        /**
+         * The outputs from the Code Interpreter tool call. Code Interpreter can output one
+         * or more items, including text (`logs`) or images (`image`). Each of these are
+         * represented by a different object type.
+         */
+        outputs?: Array<StepsAPI.CodeInterpreterLogs | StepsAPI.CodeInterpreterOutputImage>;
+    }
+}
+export interface FileSearchToolCall {
+    /**
+     * The ID of the tool call object.
+     */
+    id: string;
+    /**
+     * For now, this is always going to be an empty object.
+     */
+    file_search: FileSearchToolCall.FileSearch;
+    /**
+     * The type of tool call. This is always going to be `file_search` for this type of
+     * tool call.
+     */
+    type: 'file_search';
+}
+export declare namespace FileSearchToolCall {
+    /**
+     * For now, this is always going to be an empty object.
+     */
+    interface FileSearch {
+        /**
+         * The ranking options for the file search.
+         */
+        ranking_options?: FileSearch.RankingOptions;
+        /**
+         * The results of the file search.
+         */
+        results?: Array<FileSearch.Result>;
+    }
+    namespace FileSearch {
+        /**
+         * The ranking options for the file search.
+         */
+        interface RankingOptions {
+            /**
+             * The ranker to use for the file search. If not specified will use the `auto`
+             * ranker.
+             */
+            ranker: 'auto' | 'default_2024_08_21';
+            /**
+             * The score threshold for the file search. All values must be a floating point
+             * number between 0 and 1.
+             */
+            score_threshold: number;
+        }
+        /**
+         * A result instance of the file search.
+         */
+        interface Result {
+            /**
+             * The ID of the file that result was found in.
+             */
+            file_id: string;
+            /**
+             * The name of the file that result was found in.
+             */
+            file_name: string;
+            /**
+             * The score of the result. All values must be a floating point number between 0
+             * and 1.
+             */
+            score: number;
+            /**
+             * The content of the result that was found. The content is only included if
+             * requested via the include query parameter.
+             */
+            content?: Array<Result.Content>;
+        }
+        namespace Result {
+            interface Content {
+                /**
+                 * The text content of the file.
+                 */
+                text?: string;
+                /**
+                 * The type of the content.
+                 */
+                type?: 'text';
+            }
+        }
+    }
+}
+export interface FileSearchToolCallDelta {
+    /**
+     * For now, this is always going to be an empty object.
+     */
+    file_search: unknown;
+    /**
+     * The index of the tool call in the tool calls array.
+     */
+    index: number;
+    /**
+     * The type of tool call. This is always going to be `file_search` for this type of
+     * tool call.
+     */
+    type: 'file_search';
+    /**
+     * The ID of the tool call object.
+     */
+    id?: string;
+}
+export interface FunctionToolCall {
+    /**
+     * The ID of the tool call object.
+     */
+    id: string;
+    /**
+     * The definition of the function that was called.
+     */
+    function: FunctionToolCall.Function;
+    /**
+     * The type of tool call. This is always going to be `function` for this type of
+     * tool call.
+     */
+    type: 'function';
+}
+export declare namespace FunctionToolCall {
+    /**
+     * The definition of the function that was called.
+     */
+    interface Function {
+        /**
+         * The arguments passed to the function.
+         */
+        arguments: string;
+        /**
+         * The name of the function.
+         */
+        name: string;
+        /**
+         * The output of the function. This will be `null` if the outputs have not been
+         * [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
+         * yet.
+         */
+        output: string | null;
+    }
+}
+export interface FunctionToolCallDelta {
+    /**
+     * The index of the tool call in the tool calls array.
+     */
+    index: number;
+    /**
+     * The type of tool call. This is always going to be `function` for this type of
+     * tool call.
+     */
+    type: 'function';
+    /**
+     * The ID of the tool call object.
+     */
+    id?: string;
+    /**
+     * The definition of the function that was called.
+     */
+    function?: FunctionToolCallDelta.Function;
+}
+export declare namespace FunctionToolCallDelta {
+    /**
+     * The definition of the function that was called.
+     */
+    interface Function {
+        /**
+         * The arguments passed to the function.
+         */
+        arguments?: string;
+        /**
+         * The name of the function.
+         */
+        name?: string;
+        /**
+         * The output of the function. This will be `null` if the outputs have not been
+         * [submitted](https://platform.openai.com/docs/api-reference/runs/submitToolOutputs)
+         * yet.
+         */
+        output?: string | null;
+    }
+}
+/**
+ * Details of the message creation by the run step.
+ */
+export interface MessageCreationStepDetails {
+    message_creation: MessageCreationStepDetails.MessageCreation;
+    /**
+     * Always `message_creation`.
+     */
+    type: 'message_creation';
+}
+export declare namespace MessageCreationStepDetails {
+    interface MessageCreation {
+        /**
+         * The ID of the message that was created by this run step.
+         */
+        message_id: string;
+    }
+}
+/**
+ * Represents a step in execution of a run.
+ */
+export interface RunStep {
+    /**
+     * The identifier of the run step, which can be referenced in API endpoints.
+     */
+    id: string;
+    /**
+     * The ID of the
+     * [assistant](https://platform.openai.com/docs/api-reference/assistants)
+     * associated with the run step.
+     */
+    assistant_id: string;
+    /**
+     * The Unix timestamp (in seconds) for when the run step was cancelled.
+     */
+    cancelled_at: number | null;
+    /**
+     * The Unix timestamp (in seconds) for when the run step completed.
+     */
+    completed_at: number | null;
+    /**
+     * The Unix timestamp (in seconds) for when the run step was created.
+     */
+    created_at: number;
+    /**
+     * The Unix timestamp (in seconds) for when the run step expired. A step is
+     * considered expired if the parent run is expired.
+     */
+    expired_at: number | null;
+    /**
+     * The Unix timestamp (in seconds) for when the run step failed.
+     */
+    failed_at: number | null;
+    /**
+     * The last error associated with this run step. Will be `null` if there are no
+     * errors.
+     */
+    last_error: RunStep.LastError | 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.run.step`.
+     */
+    object: 'thread.run.step';
+    /**
+     * The ID of the [run](https://platform.openai.com/docs/api-reference/runs) that
+     * this run step is a part of.
+     */
+    run_id: string;
+    /**
+     * The status of the run step, which can be either `in_progress`, `cancelled`,
+     * `failed`, `completed`, or `expired`.
+     */
+    status: 'in_progress' | 'cancelled' | 'failed' | 'completed' | 'expired';
+    /**
+     * The details of the run step.
+     */
+    step_details: MessageCreationStepDetails | ToolCallsStepDetails;
+    /**
+     * The ID of the [thread](https://platform.openai.com/docs/api-reference/threads)
+     * that was run.
+     */
+    thread_id: string;
+    /**
+     * The type of run step, which can be either `message_creation` or `tool_calls`.
+     */
+    type: 'message_creation' | 'tool_calls';
+    /**
+     * Usage statistics related to the run step. This value will be `null` while the
+     * run step's status is `in_progress`.
+     */
+    usage: RunStep.Usage | null;
+}
+export declare namespace RunStep {
+    /**
+     * The last error associated with this run step. Will be `null` if there are no
+     * errors.
+     */
+    interface LastError {
+        /**
+         * One of `server_error` or `rate_limit_exceeded`.
+         */
+        code: 'server_error' | 'rate_limit_exceeded';
+        /**
+         * A human-readable description of the error.
+         */
+        message: string;
+    }
+    /**
+     * Usage statistics related to the run step. This value will be `null` while the
+     * run step's status is `in_progress`.
+     */
+    interface Usage {
+        /**
+         * Number of completion tokens used over the course of the run step.
+         */
+        completion_tokens: number;
+        /**
+         * Number of prompt tokens used over the course of the run step.
+         */
+        prompt_tokens: number;
+        /**
+         * Total number of tokens used (prompt + completion).
+         */
+        total_tokens: number;
+    }
+}
+/**
+ * The delta containing the fields that have changed on the run step.
+ */
+export interface RunStepDelta {
+    /**
+     * The details of the run step.
+     */
+    step_details?: RunStepDeltaMessageDelta | ToolCallDeltaObject;
+}
+/**
+ * Represents a run step delta i.e. any changed fields on a run step during
+ * streaming.
+ */
+export interface RunStepDeltaEvent {
+    /**
+     * The identifier of the run step, which can be referenced in API endpoints.
+     */
+    id: string;
+    /**
+     * The delta containing the fields that have changed on the run step.
+     */
+    delta: RunStepDelta;
+    /**
+     * The object type, which is always `thread.run.step.delta`.
+     */
+    object: 'thread.run.step.delta';
+}
+/**
+ * Details of the message creation by the run step.
+ */
+export interface RunStepDeltaMessageDelta {
+    /**
+     * Always `message_creation`.
+     */
+    type: 'message_creation';
+    message_creation?: RunStepDeltaMessageDelta.MessageCreation;
+}
+export declare namespace RunStepDeltaMessageDelta {
+    interface MessageCreation {
+        /**
+         * The ID of the message that was created by this run step.
+         */
+        message_id?: string;
+    }
+}
+export type RunStepInclude = 'step_details.tool_calls[*].file_search.results[*].content';
+/**
+ * Details of the Code Interpreter tool call the run step was involved in.
+ */
+export type ToolCall = CodeInterpreterToolCall | FileSearchToolCall | FunctionToolCall;
+/**
+ * Details of the Code Interpreter tool call the run step was involved in.
+ */
+export type ToolCallDelta = CodeInterpreterToolCallDelta | FileSearchToolCallDelta | FunctionToolCallDelta;
+/**
+ * Details of the tool call.
+ */
+export interface ToolCallDeltaObject {
+    /**
+     * Always `tool_calls`.
+     */
+    type: 'tool_calls';
+    /**
+     * An array of tool calls the run step was involved in. These can be associated
+     * with one of three types of tools: `code_interpreter`, `file_search`, or
+     * `function`.
+     */
+    tool_calls?: Array<ToolCallDelta>;
+}
+/**
+ * Details of the tool call.
+ */
+export interface ToolCallsStepDetails {
+    /**
+     * An array of tool calls the run step was involved in. These can be associated
+     * with one of three types of tools: `code_interpreter`, `file_search`, or
+     * `function`.
+     */
+    tool_calls: Array<ToolCall>;
+    /**
+     * Always `tool_calls`.
+     */
+    type: 'tool_calls';
+}
+export interface StepRetrieveParams {
+    /**
+     * Path param: The ID of the thread to which the run and run step belongs.
+     */
+    thread_id: string;
+    /**
+     * Path param: The ID of the run to which the run step belongs.
+     */
+    run_id: string;
+    /**
+     * Query param: A list of additional fields to include in the response. Currently
+     * the only supported value is
+     * `step_details.tool_calls[*].file_search.results[*].content` to fetch the file
+     * search result content.
+     *
+     * See the
+     * [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+     * for more information.
+     */
+    include?: Array<RunStepInclude>;
+}
+export interface StepListParams extends CursorPageParams {
+    /**
+     * Path param: The ID of the thread the run and run steps belong to.
+     */
+    thread_id: string;
+    /**
+     * Query param: 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;
+    /**
+     * Query param: A list of additional fields to include in the response. Currently
+     * the only supported value is
+     * `step_details.tool_calls[*].file_search.results[*].content` to fetch the file
+     * search result content.
+     *
+     * See the
+     * [file search tool documentation](https://platform.openai.com/docs/assistants/tools/file-search#customizing-file-search-settings)
+     * for more information.
+     */
+    include?: Array<RunStepInclude>;
+    /**
+     * Query param: Sort order by the `created_at` timestamp of the objects. `asc` for
+     * ascending order and `desc` for descending order.
+     */
+    order?: 'asc' | 'desc';
+}
+export declare namespace Steps {
+    export { type CodeInterpreterLogs as CodeInterpreterLogs, type CodeInterpreterOutputImage as CodeInterpreterOutputImage, type CodeInterpreterToolCall as CodeInterpreterToolCall, type CodeInterpreterToolCallDelta as CodeInterpreterToolCallDelta, type FileSearchToolCall as FileSearchToolCall, type FileSearchToolCallDelta as FileSearchToolCallDelta, type FunctionToolCall as FunctionToolCall, type FunctionToolCallDelta as FunctionToolCallDelta, type MessageCreationStepDetails as MessageCreationStepDetails, type RunStep as RunStep, type RunStepDelta as RunStepDelta, type RunStepDeltaEvent as RunStepDeltaEvent, type RunStepDeltaMessageDelta as RunStepDeltaMessageDelta, type RunStepInclude as RunStepInclude, type ToolCall as ToolCall, type ToolCallDelta as ToolCallDelta, type ToolCallDeltaObject as ToolCallDeltaObject, type ToolCallsStepDetails as ToolCallsStepDetails, type RunStepsPage as RunStepsPage, type StepRetrieveParams as StepRetrieveParams, type StepListParams as StepListParams, };
+}
+//# sourceMappingURL=steps.d.ts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/beta/threads/runs/steps.js.map

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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/beta/threads/threads.d.ts.map

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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/beta/threads/threads.js.map

@@ -0,0 +1 @@
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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/chat/completions/completions.d.mts

@@ -0,0 +1,1624 @@
+import { APIResource } from "../../../core/resource.mjs";
+import * as CompletionsCompletionsAPI from "./completions.mjs";
+import * as CompletionsAPI from "../../completions.mjs";
+import * as Shared from "../../shared.mjs";
+import * as MessagesAPI from "./messages.mjs";
+import { MessageListParams, Messages } from "./messages.mjs";
+import { APIPromise } from "../../../core/api-promise.mjs";
+import { CursorPage, type CursorPageParams, PagePromise } from "../../../core/pagination.mjs";
+import { Stream } from "../../../core/streaming.mjs";
+import { RequestOptions } from "../../../internal/request-options.mjs";
+import { ChatCompletionRunner } from "../../../lib/ChatCompletionRunner.mjs";
+import { ChatCompletionStreamingRunner } from "../../../lib/ChatCompletionStreamingRunner.mjs";
+import { RunnerOptions } from "../../../lib/AbstractChatCompletionRunner.mjs";
+import { ChatCompletionToolRunnerParams } from "../../../lib/ChatCompletionRunner.mjs";
+import { ChatCompletionStreamingToolRunnerParams } from "../../../lib/ChatCompletionStreamingRunner.mjs";
+import { ChatCompletionStream, type ChatCompletionStreamParams } from "../../../lib/ChatCompletionStream.mjs";
+import { ExtractParsedContentFromParams } from "../../../lib/parser.mjs";
+export declare class Completions extends APIResource {
+    messages: MessagesAPI.Messages;
+    /**
+     * **Starting a new project?** We recommend trying
+     * [Responses](https://platform.openai.com/docs/api-reference/responses) to take
+     * advantage of the latest OpenAI platform features. Compare
+     * [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses).
+     *
+     * ---
+     *
+     * Creates a model response for the given chat conversation. Learn more in the
+     * [text generation](https://platform.openai.com/docs/guides/text-generation),
+     * [vision](https://platform.openai.com/docs/guides/vision), and
+     * [audio](https://platform.openai.com/docs/guides/audio) guides.
+     *
+     * Parameter support can differ depending on the model used to generate the
+     * response, particularly for newer reasoning models. Parameters that are only
+     * supported for reasoning models are noted below. For the current state of
+     * unsupported parameters in reasoning models,
+     * [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
+     *
+     * @example
+     * ```ts
+     * const chatCompletion = await client.chat.completions.create(
+     *   {
+     *     messages: [{ content: 'string', role: 'developer' }],
+     *     model: 'gpt-4o',
+     *   },
+     * );
+     * ```
+     */
+    create(body: ChatCompletionCreateParamsNonStreaming, options?: RequestOptions): APIPromise<ChatCompletion>;
+    create(body: ChatCompletionCreateParamsStreaming, options?: RequestOptions): APIPromise<Stream<ChatCompletionChunk>>;
+    create(body: ChatCompletionCreateParamsBase, options?: RequestOptions): APIPromise<Stream<ChatCompletionChunk> | ChatCompletion>;
+    /**
+     * Get a stored chat completion. Only Chat Completions that have been created with
+     * the `store` parameter set to `true` will be returned.
+     *
+     * @example
+     * ```ts
+     * const chatCompletion =
+     *   await client.chat.completions.retrieve('completion_id');
+     * ```
+     */
+    retrieve(completionID: string, options?: RequestOptions): APIPromise<ChatCompletion>;
+    /**
+     * Modify a stored chat completion. Only Chat Completions that have been created
+     * with the `store` parameter set to `true` can be modified. Currently, the only
+     * supported modification is to update the `metadata` field.
+     *
+     * @example
+     * ```ts
+     * const chatCompletion = await client.chat.completions.update(
+     *   'completion_id',
+     *   { metadata: { foo: 'string' } },
+     * );
+     * ```
+     */
+    update(completionID: string, body: ChatCompletionUpdateParams, options?: RequestOptions): APIPromise<ChatCompletion>;
+    /**
+     * List stored Chat Completions. Only Chat Completions that have been stored with
+     * the `store` parameter set to `true` will be returned.
+     *
+     * @example
+     * ```ts
+     * // Automatically fetches more pages as needed.
+     * for await (const chatCompletion of client.chat.completions.list()) {
+     *   // ...
+     * }
+     * ```
+     */
+    list(query?: ChatCompletionListParams | null | undefined, options?: RequestOptions): PagePromise<ChatCompletionsPage, ChatCompletion>;
+    /**
+     * Delete a stored chat completion. Only Chat Completions that have been created
+     * with the `store` parameter set to `true` can be deleted.
+     *
+     * @example
+     * ```ts
+     * const chatCompletionDeleted =
+     *   await client.chat.completions.delete('completion_id');
+     * ```
+     */
+    delete(completionID: string, options?: RequestOptions): APIPromise<ChatCompletionDeleted>;
+    parse<Params extends ChatCompletionParseParams, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: RequestOptions): APIPromise<ParsedChatCompletion<ParsedT>>;
+    /**
+     * A convenience helper for using tool calls with the /chat/completions endpoint
+     * which automatically calls the JavaScript functions you provide and sends their
+     * results back to the /chat/completions endpoint, looping as long as the model
+     * requests function calls.
+     *
+     * For more details and examples, see
+     * [the docs](https://github.com/openai/openai-node#automated-function-calls)
+     */
+    runTools<Params extends ChatCompletionToolRunnerParams<any>, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: RunnerOptions): ChatCompletionRunner<ParsedT>;
+    runTools<Params extends ChatCompletionStreamingToolRunnerParams<any>, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: RunnerOptions): ChatCompletionStreamingRunner<ParsedT>;
+    /**
+     * Creates a chat completion stream
+     */
+    stream<Params extends ChatCompletionStreamParams, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: RequestOptions): ChatCompletionStream<ParsedT>;
+}
+export interface ParsedFunction extends ChatCompletionMessageFunctionToolCall.Function {
+    parsed_arguments?: unknown;
+}
+export interface ParsedFunctionToolCall extends ChatCompletionMessageFunctionToolCall {
+    function: ParsedFunction;
+}
+export interface ParsedChatCompletionMessage<ParsedT> extends ChatCompletionMessage {
+    parsed: ParsedT | null;
+    tool_calls?: Array<ParsedFunctionToolCall>;
+}
+export interface ParsedChoice<ParsedT> extends ChatCompletion.Choice {
+    message: ParsedChatCompletionMessage<ParsedT>;
+}
+export interface ParsedChatCompletion<ParsedT> extends ChatCompletion {
+    choices: Array<ParsedChoice<ParsedT>>;
+}
+export type ChatCompletionParseParams = ChatCompletionCreateParamsNonStreaming;
+export { ChatCompletionStreamingRunner } from "../../../lib/ChatCompletionStreamingRunner.mjs";
+export { type RunnableFunctionWithParse, type RunnableFunctionWithoutParse, ParsingToolFunction, } from "../../../lib/RunnableFunction.mjs";
+export { type ChatCompletionToolRunnerParams } from "../../../lib/ChatCompletionRunner.mjs";
+export { type ChatCompletionStreamingToolRunnerParams } from "../../../lib/ChatCompletionStreamingRunner.mjs";
+export { ChatCompletionStream, type ChatCompletionStreamParams } from "../../../lib/ChatCompletionStream.mjs";
+export { ChatCompletionRunner } from "../../../lib/ChatCompletionRunner.mjs";
+export type ChatCompletionsPage = CursorPage<ChatCompletion>;
+export type ChatCompletionStoreMessagesPage = CursorPage<ChatCompletionStoreMessage>;
+/**
+ * Represents a chat completion response returned by model, based on the provided
+ * input.
+ */
+export interface ChatCompletion {
+    /**
+     * A unique identifier for the chat completion.
+     */
+    id: string;
+    /**
+     * A list of chat completion choices. Can be more than one if `n` is greater
+     * than 1.
+     */
+    choices: Array<ChatCompletion.Choice>;
+    /**
+     * The Unix timestamp (in seconds) of when the chat completion was created.
+     */
+    created: number;
+    /**
+     * The model used for the chat completion.
+     */
+    model: string;
+    /**
+     * The object type, which is always `chat.completion`.
+     */
+    object: 'chat.completion';
+    /**
+     * Specifies the processing type used for serving the request.
+     *
+     * - If set to 'auto', then the request will be processed with the service tier
+     *   configured in the Project settings. Unless otherwise configured, the Project
+     *   will use 'default'.
+     * - If set to 'default', then the request will be processed with the standard
+     *   pricing and performance for the selected model.
+     * - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or
+     *   '[priority](https://openai.com/api-priority-processing/)', then the request
+     *   will be processed with the corresponding service tier.
+     * - When not set, the default behavior is 'auto'.
+     *
+     * When the `service_tier` parameter is set, the response body will include the
+     * `service_tier` value based on the processing mode actually used to serve the
+     * request. This response value may be different from the value set in the
+     * parameter.
+     */
+    service_tier?: 'auto' | 'default' | 'flex' | 'scale' | 'priority' | null;
+    /**
+     * @deprecated This fingerprint represents the backend configuration that the model
+     * runs with.
+     *
+     * Can be used in conjunction with the `seed` request parameter to understand when
+     * backend changes have been made that might impact determinism.
+     */
+    system_fingerprint?: string;
+    /**
+     * Usage statistics for the completion request.
+     */
+    usage?: CompletionsAPI.CompletionUsage;
+}
+export declare namespace ChatCompletion {
+    interface Choice {
+        /**
+         * The reason the model stopped generating tokens. This will be `stop` if the model
+         * hit a natural stop point or a provided stop sequence, `length` if the maximum
+         * number of tokens specified in the request was reached, `content_filter` if
+         * content was omitted due to a flag from our content filters, `tool_calls` if the
+         * model called a tool, or `function_call` (deprecated) if the model called a
+         * function.
+         */
+        finish_reason: 'stop' | 'length' | 'tool_calls' | 'content_filter' | 'function_call';
+        /**
+         * The index of the choice in the list of choices.
+         */
+        index: number;
+        /**
+         * Log probability information for the choice.
+         */
+        logprobs: Choice.Logprobs | null;
+        /**
+         * A chat completion message generated by the model.
+         */
+        message: CompletionsCompletionsAPI.ChatCompletionMessage;
+    }
+    namespace Choice {
+        /**
+         * Log probability information for the choice.
+         */
+        interface Logprobs {
+            /**
+             * A list of message content tokens with log probability information.
+             */
+            content: Array<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | null;
+            /**
+             * A list of message refusal tokens with log probability information.
+             */
+            refusal: Array<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | null;
+        }
+    }
+}
+/**
+ * Constrains the tools available to the model to a pre-defined set.
+ */
+export interface ChatCompletionAllowedToolChoice {
+    /**
+     * Constrains the tools available to the model to a pre-defined set.
+     */
+    allowed_tools: ChatCompletionAllowedTools;
+    /**
+     * Allowed tool configuration type. Always `allowed_tools`.
+     */
+    type: 'allowed_tools';
+}
+/**
+ * Messages sent by the model in response to user messages.
+ */
+export interface ChatCompletionAssistantMessageParam {
+    /**
+     * The role of the messages author, in this case `assistant`.
+     */
+    role: 'assistant';
+    /**
+     * Data about a previous audio response from the model.
+     * [Learn more](https://platform.openai.com/docs/guides/audio).
+     */
+    audio?: ChatCompletionAssistantMessageParam.Audio | null;
+    /**
+     * The contents of the assistant message. Required unless `tool_calls` or
+     * `function_call` is specified.
+     */
+    content?: string | Array<ChatCompletionContentPartText | ChatCompletionContentPartRefusal> | null;
+    /**
+     * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+     * function that should be called, as generated by the model.
+     */
+    function_call?: ChatCompletionAssistantMessageParam.FunctionCall | null;
+    /**
+     * An optional name for the participant. Provides the model information to
+     * differentiate between participants of the same role.
+     */
+    name?: string;
+    /**
+     * The refusal message by the assistant.
+     */
+    refusal?: string | null;
+    /**
+     * The tool calls generated by the model, such as function calls.
+     */
+    tool_calls?: Array<ChatCompletionMessageToolCall>;
+}
+export declare namespace ChatCompletionAssistantMessageParam {
+    /**
+     * Data about a previous audio response from the model.
+     * [Learn more](https://platform.openai.com/docs/guides/audio).
+     */
+    interface Audio {
+        /**
+         * Unique identifier for a previous audio response from the model.
+         */
+        id: string;
+    }
+    /**
+     * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+     * function that should be called, as generated by the model.
+     */
+    interface FunctionCall {
+        /**
+         * The arguments to call the function with, as generated by the model in JSON
+         * format. Note that the model does not always generate valid JSON, and may
+         * hallucinate parameters not defined by your function schema. Validate the
+         * arguments in your code before calling your function.
+         */
+        arguments: string;
+        /**
+         * The name of the function to call.
+         */
+        name: string;
+    }
+}
+/**
+ * If the audio output modality is requested, this object contains data about the
+ * audio response from the model.
+ * [Learn more](https://platform.openai.com/docs/guides/audio).
+ */
+export interface ChatCompletionAudio {
+    /**
+     * Unique identifier for this audio response.
+     */
+    id: string;
+    /**
+     * Base64 encoded audio bytes generated by the model, in the format specified in
+     * the request.
+     */
+    data: string;
+    /**
+     * The Unix timestamp (in seconds) for when this audio response will no longer be
+     * accessible on the server for use in multi-turn conversations.
+     */
+    expires_at: number;
+    /**
+     * Transcript of the audio generated by the model.
+     */
+    transcript: string;
+}
+/**
+ * Parameters for audio output. Required when audio output is requested with
+ * `modalities: ["audio"]`.
+ * [Learn more](https://platform.openai.com/docs/guides/audio).
+ */
+export interface ChatCompletionAudioParam {
+    /**
+     * Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`, `opus`,
+     * or `pcm16`.
+     */
+    format: 'wav' | 'aac' | 'mp3' | 'flac' | 'opus' | 'pcm16';
+    /**
+     * The voice the model uses to respond. Supported voices are `alloy`, `ash`,
+     * `ballad`, `coral`, `echo`, `fable`, `nova`, `onyx`, `sage`, and `shimmer`.
+     */
+    voice: (string & {}) | 'alloy' | 'ash' | 'ballad' | 'coral' | 'echo' | 'sage' | 'shimmer' | 'verse';
+}
+/**
+ * Represents a streamed chunk of a chat completion response returned by the model,
+ * based on the provided input.
+ * [Learn more](https://platform.openai.com/docs/guides/streaming-responses).
+ */
+export interface ChatCompletionChunk {
+    /**
+     * A unique identifier for the chat completion. Each chunk has the same ID.
+     */
+    id: string;
+    /**
+     * A list of chat completion choices. Can contain more than one elements if `n` is
+     * greater than 1. Can also be empty for the last chunk if you set
+     * `stream_options: {"include_usage": true}`.
+     */
+    choices: Array<ChatCompletionChunk.Choice>;
+    /**
+     * The Unix timestamp (in seconds) of when the chat completion was created. Each
+     * chunk has the same timestamp.
+     */
+    created: number;
+    /**
+     * The model to generate the completion.
+     */
+    model: string;
+    /**
+     * The object type, which is always `chat.completion.chunk`.
+     */
+    object: 'chat.completion.chunk';
+    /**
+     * Specifies the processing type used for serving the request.
+     *
+     * - If set to 'auto', then the request will be processed with the service tier
+     *   configured in the Project settings. Unless otherwise configured, the Project
+     *   will use 'default'.
+     * - If set to 'default', then the request will be processed with the standard
+     *   pricing and performance for the selected model.
+     * - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or
+     *   '[priority](https://openai.com/api-priority-processing/)', then the request
+     *   will be processed with the corresponding service tier.
+     * - When not set, the default behavior is 'auto'.
+     *
+     * When the `service_tier` parameter is set, the response body will include the
+     * `service_tier` value based on the processing mode actually used to serve the
+     * request. This response value may be different from the value set in the
+     * parameter.
+     */
+    service_tier?: 'auto' | 'default' | 'flex' | 'scale' | 'priority' | null;
+    /**
+     * @deprecated This fingerprint represents the backend configuration that the model
+     * runs with. Can be used in conjunction with the `seed` request parameter to
+     * understand when backend changes have been made that might impact determinism.
+     */
+    system_fingerprint?: string;
+    /**
+     * An optional field that will only be present when you set
+     * `stream_options: {"include_usage": true}` in your request. When present, it
+     * contains a null value **except for the last chunk** which contains the token
+     * usage statistics for the entire request.
+     *
+     * **NOTE:** If the stream is interrupted or cancelled, you may not receive the
+     * final usage chunk which contains the total token usage for the request.
+     */
+    usage?: CompletionsAPI.CompletionUsage | null;
+}
+export declare namespace ChatCompletionChunk {
+    interface Choice {
+        /**
+         * A chat completion delta generated by streamed model responses.
+         */
+        delta: Choice.Delta;
+        /**
+         * The reason the model stopped generating tokens. This will be `stop` if the model
+         * hit a natural stop point or a provided stop sequence, `length` if the maximum
+         * number of tokens specified in the request was reached, `content_filter` if
+         * content was omitted due to a flag from our content filters, `tool_calls` if the
+         * model called a tool, or `function_call` (deprecated) if the model called a
+         * function.
+         */
+        finish_reason: 'stop' | 'length' | 'tool_calls' | 'content_filter' | 'function_call' | null;
+        /**
+         * The index of the choice in the list of choices.
+         */
+        index: number;
+        /**
+         * Log probability information for the choice.
+         */
+        logprobs?: Choice.Logprobs | null;
+    }
+    namespace Choice {
+        /**
+         * A chat completion delta generated by streamed model responses.
+         */
+        interface Delta {
+            /**
+             * The contents of the chunk message.
+             */
+            content?: string | null;
+            /**
+             * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+             * function that should be called, as generated by the model.
+             */
+            function_call?: Delta.FunctionCall;
+            /**
+             * The refusal message generated by the model.
+             */
+            refusal?: string | null;
+            /**
+             * The role of the author of this message.
+             */
+            role?: 'developer' | 'system' | 'user' | 'assistant' | 'tool';
+            tool_calls?: Array<Delta.ToolCall>;
+        }
+        namespace Delta {
+            /**
+             * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+             * function that should be called, as generated by the model.
+             */
+            interface FunctionCall {
+                /**
+                 * The arguments to call the function with, as generated by the model in JSON
+                 * format. Note that the model does not always generate valid JSON, and may
+                 * hallucinate parameters not defined by your function schema. Validate the
+                 * arguments in your code before calling your function.
+                 */
+                arguments?: string;
+                /**
+                 * The name of the function to call.
+                 */
+                name?: string;
+            }
+            interface ToolCall {
+                index: number;
+                /**
+                 * The ID of the tool call.
+                 */
+                id?: string;
+                function?: ToolCall.Function;
+                /**
+                 * The type of the tool. Currently, only `function` is supported.
+                 */
+                type?: 'function';
+            }
+            namespace ToolCall {
+                interface Function {
+                    /**
+                     * The arguments to call the function with, as generated by the model in JSON
+                     * format. Note that the model does not always generate valid JSON, and may
+                     * hallucinate parameters not defined by your function schema. Validate the
+                     * arguments in your code before calling your function.
+                     */
+                    arguments?: string;
+                    /**
+                     * The name of the function to call.
+                     */
+                    name?: string;
+                }
+            }
+        }
+        /**
+         * Log probability information for the choice.
+         */
+        interface Logprobs {
+            /**
+             * A list of message content tokens with log probability information.
+             */
+            content: Array<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | null;
+            /**
+             * A list of message refusal tokens with log probability information.
+             */
+            refusal: Array<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | null;
+        }
+    }
+}
+/**
+ * Learn about
+ * [text inputs](https://platform.openai.com/docs/guides/text-generation).
+ */
+export type ChatCompletionContentPart = ChatCompletionContentPartText | ChatCompletionContentPartImage | ChatCompletionContentPartInputAudio | ChatCompletionContentPart.File;
+export declare namespace ChatCompletionContentPart {
+    /**
+     * Learn about [file inputs](https://platform.openai.com/docs/guides/text) for text
+     * generation.
+     */
+    interface File {
+        file: File.File;
+        /**
+         * The type of the content part. Always `file`.
+         */
+        type: 'file';
+    }
+    namespace File {
+        interface File {
+            /**
+             * The base64 encoded file data, used when passing the file to the model as a
+             * string.
+             */
+            file_data?: string;
+            /**
+             * The ID of an uploaded file to use as input.
+             */
+            file_id?: string;
+            /**
+             * The name of the file, used when passing the file to the model as a string.
+             */
+            filename?: string;
+        }
+    }
+}
+/**
+ * Learn about [image inputs](https://platform.openai.com/docs/guides/vision).
+ */
+export interface ChatCompletionContentPartImage {
+    image_url: ChatCompletionContentPartImage.ImageURL;
+    /**
+     * The type of the content part.
+     */
+    type: 'image_url';
+}
+export declare namespace ChatCompletionContentPartImage {
+    interface ImageURL {
+        /**
+         * Either a URL of the image or the base64 encoded image data.
+         */
+        url: string;
+        /**
+         * Specifies the detail level of the image. Learn more in the
+         * [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding).
+         */
+        detail?: 'auto' | 'low' | 'high';
+    }
+}
+/**
+ * Learn about [audio inputs](https://platform.openai.com/docs/guides/audio).
+ */
+export interface ChatCompletionContentPartInputAudio {
+    input_audio: ChatCompletionContentPartInputAudio.InputAudio;
+    /**
+     * The type of the content part. Always `input_audio`.
+     */
+    type: 'input_audio';
+}
+export declare namespace ChatCompletionContentPartInputAudio {
+    interface InputAudio {
+        /**
+         * Base64 encoded audio data.
+         */
+        data: string;
+        /**
+         * The format of the encoded audio data. Currently supports "wav" and "mp3".
+         */
+        format: 'wav' | 'mp3';
+    }
+}
+export interface ChatCompletionContentPartRefusal {
+    /**
+     * The refusal message generated by the model.
+     */
+    refusal: string;
+    /**
+     * The type of the content part.
+     */
+    type: 'refusal';
+}
+/**
+ * Learn about
+ * [text inputs](https://platform.openai.com/docs/guides/text-generation).
+ */
+export interface ChatCompletionContentPartText {
+    /**
+     * The text content.
+     */
+    text: string;
+    /**
+     * The type of the content part.
+     */
+    type: 'text';
+}
+/**
+ * A custom tool that processes input using a specified format.
+ */
+export interface ChatCompletionCustomTool {
+    /**
+     * Properties of the custom tool.
+     */
+    custom: ChatCompletionCustomTool.Custom;
+    /**
+     * The type of the custom tool. Always `custom`.
+     */
+    type: 'custom';
+}
+export declare namespace ChatCompletionCustomTool {
+    /**
+     * Properties of the custom tool.
+     */
+    interface Custom {
+        /**
+         * The name of the custom tool, used to identify it in tool calls.
+         */
+        name: string;
+        /**
+         * Optional description of the custom tool, used to provide more context.
+         */
+        description?: string;
+        /**
+         * The input format for the custom tool. Default is unconstrained text.
+         */
+        format?: Custom.Text | Custom.Grammar;
+    }
+    namespace Custom {
+        /**
+         * Unconstrained free-form text.
+         */
+        interface Text {
+            /**
+             * Unconstrained text format. Always `text`.
+             */
+            type: 'text';
+        }
+        /**
+         * A grammar defined by the user.
+         */
+        interface Grammar {
+            /**
+             * Your chosen grammar.
+             */
+            grammar: Grammar.Grammar;
+            /**
+             * Grammar format. Always `grammar`.
+             */
+            type: 'grammar';
+        }
+        namespace Grammar {
+            /**
+             * Your chosen grammar.
+             */
+            interface Grammar {
+                /**
+                 * The grammar definition.
+                 */
+                definition: string;
+                /**
+                 * The syntax of the grammar definition. One of `lark` or `regex`.
+                 */
+                syntax: 'lark' | 'regex';
+            }
+        }
+    }
+}
+export interface ChatCompletionDeleted {
+    /**
+     * The ID of the chat completion that was deleted.
+     */
+    id: string;
+    /**
+     * Whether the chat completion was deleted.
+     */
+    deleted: boolean;
+    /**
+     * The type of object being deleted.
+     */
+    object: 'chat.completion.deleted';
+}
+/**
+ * Developer-provided instructions that the model should follow, regardless of
+ * messages sent by the user. With o1 models and newer, `developer` messages
+ * replace the previous `system` messages.
+ */
+export interface ChatCompletionDeveloperMessageParam {
+    /**
+     * The contents of the developer message.
+     */
+    content: string | Array<ChatCompletionContentPartText>;
+    /**
+     * The role of the messages author, in this case `developer`.
+     */
+    role: 'developer';
+    /**
+     * An optional name for the participant. Provides the model information to
+     * differentiate between participants of the same role.
+     */
+    name?: string;
+}
+/**
+ * Specifying a particular function via `{"name": "my_function"}` forces the model
+ * to call that function.
+ */
+export interface ChatCompletionFunctionCallOption {
+    /**
+     * The name of the function to call.
+     */
+    name: string;
+}
+/**
+ * @deprecated
+ */
+export interface ChatCompletionFunctionMessageParam {
+    /**
+     * The contents of the function message.
+     */
+    content: string | null;
+    /**
+     * The name of the function to call.
+     */
+    name: string;
+    /**
+     * The role of the messages author, in this case `function`.
+     */
+    role: 'function';
+}
+/**
+ * A function tool that can be used to generate a response.
+ */
+export interface ChatCompletionFunctionTool {
+    function: Shared.FunctionDefinition;
+    /**
+     * The type of the tool. Currently, only `function` is supported.
+     */
+    type: 'function';
+}
+/**
+ * A chat completion message generated by the model.
+ */
+export interface ChatCompletionMessage {
+    /**
+     * The contents of the message.
+     */
+    content: string | null;
+    /**
+     * The refusal message generated by the model.
+     */
+    refusal: string | null;
+    /**
+     * The role of the author of this message.
+     */
+    role: 'assistant';
+    /**
+     * Annotations for the message, when applicable, as when using the
+     * [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+     */
+    annotations?: Array<ChatCompletionMessage.Annotation>;
+    /**
+     * If the audio output modality is requested, this object contains data about the
+     * audio response from the model.
+     * [Learn more](https://platform.openai.com/docs/guides/audio).
+     */
+    audio?: ChatCompletionAudio | null;
+    /**
+     * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+     * function that should be called, as generated by the model.
+     */
+    function_call?: ChatCompletionMessage.FunctionCall | null;
+    /**
+     * The tool calls generated by the model, such as function calls.
+     */
+    tool_calls?: Array<ChatCompletionMessageToolCall>;
+}
+export declare namespace ChatCompletionMessage {
+    /**
+     * A URL citation when using web search.
+     */
+    interface Annotation {
+        /**
+         * The type of the URL citation. Always `url_citation`.
+         */
+        type: 'url_citation';
+        /**
+         * A URL citation when using web search.
+         */
+        url_citation: Annotation.URLCitation;
+    }
+    namespace Annotation {
+        /**
+         * A URL citation when using web search.
+         */
+        interface URLCitation {
+            /**
+             * The index of the last character of the URL citation in the message.
+             */
+            end_index: number;
+            /**
+             * The index of the first character of the URL citation in the message.
+             */
+            start_index: number;
+            /**
+             * The title of the web resource.
+             */
+            title: string;
+            /**
+             * The URL of the web resource.
+             */
+            url: string;
+        }
+    }
+    /**
+     * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+     * function that should be called, as generated by the model.
+     */
+    interface FunctionCall {
+        /**
+         * The arguments to call the function with, as generated by the model in JSON
+         * format. Note that the model does not always generate valid JSON, and may
+         * hallucinate parameters not defined by your function schema. Validate the
+         * arguments in your code before calling your function.
+         */
+        arguments: string;
+        /**
+         * The name of the function to call.
+         */
+        name: string;
+    }
+}
+/**
+ * A call to a custom tool created by the model.
+ */
+export interface ChatCompletionMessageCustomToolCall {
+    /**
+     * The ID of the tool call.
+     */
+    id: string;
+    /**
+     * The custom tool that the model called.
+     */
+    custom: ChatCompletionMessageCustomToolCall.Custom;
+    /**
+     * The type of the tool. Always `custom`.
+     */
+    type: 'custom';
+}
+export declare namespace ChatCompletionMessageCustomToolCall {
+    /**
+     * The custom tool that the model called.
+     */
+    interface Custom {
+        /**
+         * The input for the custom tool call generated by the model.
+         */
+        input: string;
+        /**
+         * The name of the custom tool to call.
+         */
+        name: string;
+    }
+}
+/**
+ * A call to a function tool created by the model.
+ */
+export interface ChatCompletionMessageFunctionToolCall {
+    /**
+     * The ID of the tool call.
+     */
+    id: string;
+    /**
+     * The function that the model called.
+     */
+    function: ChatCompletionMessageFunctionToolCall.Function;
+    /**
+     * The type of the tool. Currently, only `function` is supported.
+     */
+    type: 'function';
+}
+export declare namespace ChatCompletionMessageFunctionToolCall {
+    /**
+     * The function that the model called.
+     */
+    interface Function {
+        /**
+         * The arguments to call the function with, as generated by the model in JSON
+         * format. Note that the model does not always generate valid JSON, and may
+         * hallucinate parameters not defined by your function schema. Validate the
+         * arguments in your code before calling your function.
+         */
+        arguments: string;
+        /**
+         * The name of the function to call.
+         */
+        name: string;
+    }
+}
+/**
+ * Developer-provided instructions that the model should follow, regardless of
+ * messages sent by the user. With o1 models and newer, `developer` messages
+ * replace the previous `system` messages.
+ */
+export type ChatCompletionMessageParam = ChatCompletionDeveloperMessageParam | ChatCompletionSystemMessageParam | ChatCompletionUserMessageParam | ChatCompletionAssistantMessageParam | ChatCompletionToolMessageParam | ChatCompletionFunctionMessageParam;
+/**
+ * A call to a function tool created by the model.
+ */
+export type ChatCompletionMessageToolCall = ChatCompletionMessageFunctionToolCall | ChatCompletionMessageCustomToolCall;
+export type ChatCompletionModality = 'text' | 'audio';
+/**
+ * Specifies a tool the model should use. Use to force the model to call a specific
+ * function.
+ */
+export interface ChatCompletionNamedToolChoice {
+    function: ChatCompletionNamedToolChoice.Function;
+    /**
+     * For function calling, the type is always `function`.
+     */
+    type: 'function';
+}
+export declare namespace ChatCompletionNamedToolChoice {
+    interface Function {
+        /**
+         * The name of the function to call.
+         */
+        name: string;
+    }
+}
+/**
+ * Specifies a tool the model should use. Use to force the model to call a specific
+ * custom tool.
+ */
+export interface ChatCompletionNamedToolChoiceCustom {
+    custom: ChatCompletionNamedToolChoiceCustom.Custom;
+    /**
+     * For custom tool calling, the type is always `custom`.
+     */
+    type: 'custom';
+}
+export declare namespace ChatCompletionNamedToolChoiceCustom {
+    interface Custom {
+        /**
+         * The name of the custom tool to call.
+         */
+        name: string;
+    }
+}
+/**
+ * Static predicted output content, such as the content of a text file that is
+ * being regenerated.
+ */
+export interface ChatCompletionPredictionContent {
+    /**
+     * The content that should be matched when generating a model response. If
+     * generated tokens would match this content, the entire model response can be
+     * returned much more quickly.
+     */
+    content: string | Array<ChatCompletionContentPartText>;
+    /**
+     * The type of the predicted content you want to provide. This type is currently
+     * always `content`.
+     */
+    type: 'content';
+}
+/**
+ * The role of the author of a message
+ */
+export type ChatCompletionRole = 'developer' | 'system' | 'user' | 'assistant' | 'tool' | 'function';
+/**
+ * A chat completion message generated by the model.
+ */
+export interface ChatCompletionStoreMessage extends ChatCompletionMessage {
+    /**
+     * The identifier of the chat message.
+     */
+    id: string;
+    /**
+     * If a content parts array was provided, this is an array of `text` and
+     * `image_url` parts. Otherwise, null.
+     */
+    content_parts?: Array<ChatCompletionContentPartText | ChatCompletionContentPartImage> | null;
+}
+/**
+ * Options for streaming response. Only set this when you set `stream: true`.
+ */
+export interface ChatCompletionStreamOptions {
+    /**
+     * When true, stream obfuscation will be enabled. Stream obfuscation adds random
+     * characters to an `obfuscation` field on streaming delta events to normalize
+     * payload sizes as a mitigation to certain side-channel attacks. These obfuscation
+     * fields are included by default, but add a small amount of overhead to the data
+     * stream. You can set `include_obfuscation` to false to optimize for bandwidth if
+     * you trust the network links between your application and the OpenAI API.
+     */
+    include_obfuscation?: boolean;
+    /**
+     * If set, an additional chunk will be streamed before the `data: [DONE]` message.
+     * The `usage` field on this chunk shows the token usage statistics for the entire
+     * request, and the `choices` field will always be an empty array.
+     *
+     * All other chunks will also include a `usage` field, but with a null value.
+     * **NOTE:** If the stream is interrupted, you may not receive the final usage
+     * chunk which contains the total token usage for the request.
+     */
+    include_usage?: boolean;
+}
+/**
+ * Developer-provided instructions that the model should follow, regardless of
+ * messages sent by the user. With o1 models and newer, use `developer` messages
+ * for this purpose instead.
+ */
+export interface ChatCompletionSystemMessageParam {
+    /**
+     * The contents of the system message.
+     */
+    content: string | Array<ChatCompletionContentPartText>;
+    /**
+     * The role of the messages author, in this case `system`.
+     */
+    role: 'system';
+    /**
+     * An optional name for the participant. Provides the model information to
+     * differentiate between participants of the same role.
+     */
+    name?: string;
+}
+export interface ChatCompletionTokenLogprob {
+    /**
+     * The token.
+     */
+    token: string;
+    /**
+     * A list of integers representing the UTF-8 bytes representation of the token.
+     * Useful in instances where characters are represented by multiple tokens and
+     * their byte representations must be combined to generate the correct text
+     * representation. Can be `null` if there is no bytes representation for the token.
+     */
+    bytes: Array<number> | null;
+    /**
+     * The log probability of this token, if it is within the top 20 most likely
+     * tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
+     * unlikely.
+     */
+    logprob: number;
+    /**
+     * List of the most likely tokens and their log probability, at this token
+     * position. In rare cases, there may be fewer than the number of requested
+     * `top_logprobs` returned.
+     */
+    top_logprobs: Array<ChatCompletionTokenLogprob.TopLogprob>;
+}
+export declare namespace ChatCompletionTokenLogprob {
+    interface TopLogprob {
+        /**
+         * The token.
+         */
+        token: string;
+        /**
+         * A list of integers representing the UTF-8 bytes representation of the token.
+         * Useful in instances where characters are represented by multiple tokens and
+         * their byte representations must be combined to generate the correct text
+         * representation. Can be `null` if there is no bytes representation for the token.
+         */
+        bytes: Array<number> | null;
+        /**
+         * The log probability of this token, if it is within the top 20 most likely
+         * tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
+         * unlikely.
+         */
+        logprob: number;
+    }
+}
+/**
+ * A function tool that can be used to generate a response.
+ */
+export type ChatCompletionTool = ChatCompletionFunctionTool | ChatCompletionCustomTool;
+/**
+ * Controls which (if any) tool is called by the model. `none` means the model will
+ * not call any tool and instead generates a message. `auto` means the model can
+ * pick between generating a message or calling one or more tools. `required` means
+ * the model must call one or more tools. Specifying a particular tool via
+ * `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+ * call that tool.
+ *
+ * `none` is the default when no tools are present. `auto` is the default if tools
+ * are present.
+ */
+export type ChatCompletionToolChoiceOption = 'none' | 'auto' | 'required' | ChatCompletionAllowedToolChoice | ChatCompletionNamedToolChoice | ChatCompletionNamedToolChoiceCustom;
+export interface ChatCompletionToolMessageParam {
+    /**
+     * The contents of the tool message.
+     */
+    content: string | Array<ChatCompletionContentPartText>;
+    /**
+     * The role of the messages author, in this case `tool`.
+     */
+    role: 'tool';
+    /**
+     * Tool call that this message is responding to.
+     */
+    tool_call_id: string;
+}
+/**
+ * Messages sent by an end user, containing prompts or additional context
+ * information.
+ */
+export interface ChatCompletionUserMessageParam {
+    /**
+     * The contents of the user message.
+     */
+    content: string | Array<ChatCompletionContentPart>;
+    /**
+     * The role of the messages author, in this case `user`.
+     */
+    role: 'user';
+    /**
+     * An optional name for the participant. Provides the model information to
+     * differentiate between participants of the same role.
+     */
+    name?: string;
+}
+/**
+ * Constrains the tools available to the model to a pre-defined set.
+ */
+export interface ChatCompletionAllowedTools {
+    /**
+     * Constrains the tools available to the model to a pre-defined set.
+     *
+     * `auto` allows the model to pick from among the allowed tools and generate a
+     * message.
+     *
+     * `required` requires the model to call one or more of the allowed tools.
+     */
+    mode: 'auto' | 'required';
+    /**
+     * A list of tool definitions that the model should be allowed to call.
+     *
+     * For the Chat Completions API, the list of tool definitions might look like:
+     *
+     * ```json
+     * [
+     *   { "type": "function", "function": { "name": "get_weather" } },
+     *   { "type": "function", "function": { "name": "get_time" } }
+     * ]
+     * ```
+     */
+    tools: Array<{
+        [key: string]: unknown;
+    }>;
+}
+export type ChatCompletionReasoningEffort = Shared.ReasoningEffort | null;
+export type ChatCompletionCreateParams = ChatCompletionCreateParamsNonStreaming | ChatCompletionCreateParamsStreaming;
+export interface ChatCompletionCreateParamsBase {
+    /**
+     * A list of messages comprising the conversation so far. Depending on the
+     * [model](https://platform.openai.com/docs/models) you use, different message
+     * types (modalities) are supported, like
+     * [text](https://platform.openai.com/docs/guides/text-generation),
+     * [images](https://platform.openai.com/docs/guides/vision), and
+     * [audio](https://platform.openai.com/docs/guides/audio).
+     */
+    messages: Array<ChatCompletionMessageParam>;
+    /**
+     * Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a
+     * wide range of models with different capabilities, performance characteristics,
+     * and price points. Refer to the
+     * [model guide](https://platform.openai.com/docs/models) to browse and compare
+     * available models.
+     */
+    model: (string & {}) | Shared.ChatModel;
+    /**
+     * Parameters for audio output. Required when audio output is requested with
+     * `modalities: ["audio"]`.
+     * [Learn more](https://platform.openai.com/docs/guides/audio).
+     */
+    audio?: ChatCompletionAudioParam | null;
+    /**
+     * Number between -2.0 and 2.0. Positive values penalize new tokens based on their
+     * existing frequency in the text so far, decreasing the model's likelihood to
+     * repeat the same line verbatim.
+     */
+    frequency_penalty?: number | null;
+    /**
+     * @deprecated Deprecated in favor of `tool_choice`.
+     *
+     * Controls which (if any) function is called by the model.
+     *
+     * `none` means the model will not call a function and instead generates a message.
+     *
+     * `auto` means the model can pick between generating a message or calling a
+     * function.
+     *
+     * Specifying a particular function via `{"name": "my_function"}` forces the model
+     * to call that function.
+     *
+     * `none` is the default when no functions are present. `auto` is the default if
+     * functions are present.
+     */
+    function_call?: 'none' | 'auto' | ChatCompletionFunctionCallOption;
+    /**
+     * @deprecated Deprecated in favor of `tools`.
+     *
+     * A list of functions the model may generate JSON inputs for.
+     */
+    functions?: Array<ChatCompletionCreateParams.Function>;
+    /**
+     * Modify the likelihood of specified tokens appearing in the completion.
+     *
+     * Accepts a JSON object that maps tokens (specified by their token ID in the
+     * tokenizer) to an associated bias value from -100 to 100. Mathematically, the
+     * bias is added to the logits generated by the model prior to sampling. The exact
+     * effect will vary per model, but values between -1 and 1 should decrease or
+     * increase likelihood of selection; values like -100 or 100 should result in a ban
+     * or exclusive selection of the relevant token.
+     */
+    logit_bias?: {
+        [key: string]: number;
+    } | null;
+    /**
+     * Whether to return log probabilities of the output tokens or not. If true,
+     * returns the log probabilities of each output token returned in the `content` of
+     * `message`.
+     */
+    logprobs?: boolean | null;
+    /**
+     * An upper bound for the number of tokens that can be generated for a completion,
+     * including visible output tokens and
+     * [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+     */
+    max_completion_tokens?: number | null;
+    /**
+     * @deprecated The maximum number of [tokens](/tokenizer) that can be generated in
+     * the chat completion. This value can be used to control
+     * [costs](https://openai.com/api/pricing/) for text generated via API.
+     *
+     * This value is now deprecated in favor of `max_completion_tokens`, and is not
+     * compatible with
+     * [o-series models](https://platform.openai.com/docs/guides/reasoning).
+     */
+    max_tokens?: number | 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;
+    /**
+     * Output types that you would like the model to generate. Most models are capable
+     * of generating text, which is the default:
+     *
+     * `["text"]`
+     *
+     * The `gpt-4o-audio-preview` model can also be used to
+     * [generate audio](https://platform.openai.com/docs/guides/audio). To request that
+     * this model generate both text and audio responses, you can use:
+     *
+     * `["text", "audio"]`
+     */
+    modalities?: Array<'text' | 'audio'> | null;
+    /**
+     * How many chat completion choices to generate for each input message. Note that
+     * you will be charged based on the number of generated tokens across all of the
+     * choices. Keep `n` as `1` to minimize costs.
+     */
+    n?: number | null;
+    /**
+     * Whether to enable
+     * [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+     * during tool use.
+     */
+    parallel_tool_calls?: boolean;
+    /**
+     * Static predicted output content, such as the content of a text file that is
+     * being regenerated.
+     */
+    prediction?: ChatCompletionPredictionContent | null;
+    /**
+     * Number between -2.0 and 2.0. Positive values penalize new tokens based on
+     * whether they appear in the text so far, increasing the model's likelihood to
+     * talk about new topics.
+     */
+    presence_penalty?: number | null;
+    /**
+     * Used by OpenAI to cache responses for similar requests to optimize your cache
+     * hit rates. Replaces the `user` field.
+     * [Learn more](https://platform.openai.com/docs/guides/prompt-caching).
+     */
+    prompt_cache_key?: string;
+    /**
+     * Constrains effort on reasoning for
+     * [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+     * supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
+     * effort can result in faster responses and fewer tokens used on reasoning in a
+     * response.
+     */
+    reasoning_effort?: Shared.ReasoningEffort | null;
+    /**
+     * An object specifying the format that the model must output.
+     *
+     * Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+     * Outputs which ensures the model will match your supplied JSON schema. Learn more
+     * in the
+     * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+     *
+     * Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+     * ensures the message the model generates is valid JSON. Using `json_schema` is
+     * preferred for models that support it.
+     */
+    response_format?: Shared.ResponseFormatText | Shared.ResponseFormatJSONSchema | Shared.ResponseFormatJSONObject;
+    /**
+     * A stable identifier used to help detect users of your application that may be
+     * violating OpenAI's usage policies. The IDs should be a string that uniquely
+     * identifies each user. We recommend hashing their username or email address, in
+     * order to avoid sending us any identifying information.
+     * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
+     */
+    safety_identifier?: string;
+    /**
+     * @deprecated This feature is in Beta. If specified, our system will make a best
+     * effort to sample deterministically, such that repeated requests with the same
+     * `seed` and parameters should return the same result. Determinism is not
+     * guaranteed, and you should refer to the `system_fingerprint` response parameter
+     * to monitor changes in the backend.
+     */
+    seed?: number | null;
+    /**
+     * Specifies the processing type used for serving the request.
+     *
+     * - If set to 'auto', then the request will be processed with the service tier
+     *   configured in the Project settings. Unless otherwise configured, the Project
+     *   will use 'default'.
+     * - If set to 'default', then the request will be processed with the standard
+     *   pricing and performance for the selected model.
+     * - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or
+     *   '[priority](https://openai.com/api-priority-processing/)', then the request
+     *   will be processed with the corresponding service tier.
+     * - When not set, the default behavior is 'auto'.
+     *
+     * When the `service_tier` parameter is set, the response body will include the
+     * `service_tier` value based on the processing mode actually used to serve the
+     * request. This response value may be different from the value set in the
+     * parameter.
+     */
+    service_tier?: 'auto' | 'default' | 'flex' | 'scale' | 'priority' | null;
+    /**
+     * Not supported with latest reasoning models `o3` and `o4-mini`.
+     *
+     * Up to 4 sequences where the API will stop generating further tokens. The
+     * returned text will not contain the stop sequence.
+     */
+    stop?: string | null | Array<string>;
+    /**
+     * Whether or not to store the output of this chat completion request for use in
+     * our [model distillation](https://platform.openai.com/docs/guides/distillation)
+     * or [evals](https://platform.openai.com/docs/guides/evals) products.
+     *
+     * Supports text and image inputs. Note: image inputs over 8MB will be dropped.
+     */
+    store?: boolean | null;
+    /**
+     * If set to true, the model response data will be streamed to the client as it is
+     * generated using
+     * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+     * See the
+     * [Streaming section below](https://platform.openai.com/docs/api-reference/chat/streaming)
+     * for more information, along with the
+     * [streaming responses](https://platform.openai.com/docs/guides/streaming-responses)
+     * guide for more information on how to handle the streaming events.
+     */
+    stream?: boolean | null;
+    /**
+     * Options for streaming response. Only set this when you set `stream: true`.
+     */
+    stream_options?: ChatCompletionStreamOptions | null;
+    /**
+     * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
+     * make the output more random, while lower values like 0.2 will make it more
+     * focused and deterministic. We generally recommend altering this or `top_p` but
+     * not both.
+     */
+    temperature?: number | null;
+    /**
+     * Controls which (if any) tool is called by the model. `none` means the model will
+     * not call any tool and instead generates a message. `auto` means the model can
+     * pick between generating a message or calling one or more tools. `required` means
+     * the model must call one or more tools. Specifying a particular tool via
+     * `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+     * call that tool.
+     *
+     * `none` is the default when no tools are present. `auto` is the default if tools
+     * are present.
+     */
+    tool_choice?: ChatCompletionToolChoiceOption;
+    /**
+     * A list of tools the model may call. You can provide either
+     * [custom tools](https://platform.openai.com/docs/guides/function-calling#custom-tools)
+     * or [function tools](https://platform.openai.com/docs/guides/function-calling).
+     */
+    tools?: Array<ChatCompletionTool>;
+    /**
+     * An integer between 0 and 20 specifying the number of most likely tokens to
+     * return at each token position, each with an associated log probability.
+     * `logprobs` must be set to `true` if this parameter is used.
+     */
+    top_logprobs?: number | null;
+    /**
+     * An alternative to sampling with temperature, called nucleus sampling, where the
+     * model considers the results of the tokens with top_p probability mass. So 0.1
+     * means only the tokens comprising the top 10% probability mass are considered.
+     *
+     * We generally recommend altering this or `temperature` but not both.
+     */
+    top_p?: number | null;
+    /**
+     * @deprecated This field is being replaced by `safety_identifier` and
+     * `prompt_cache_key`. Use `prompt_cache_key` instead to maintain caching
+     * optimizations. A stable identifier for your end-users. Used to boost cache hit
+     * rates by better bucketing similar requests and to help OpenAI detect and prevent
+     * abuse.
+     * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
+     */
+    user?: string;
+    /**
+     * Constrains the verbosity of the model's response. Lower values will result in
+     * more concise responses, while higher values will result in more verbose
+     * responses. Currently supported values are `low`, `medium`, and `high`.
+     */
+    verbosity?: 'low' | 'medium' | 'high' | null;
+    /**
+     * This tool searches the web for relevant results to use in a response. Learn more
+     * about the
+     * [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+     */
+    web_search_options?: ChatCompletionCreateParams.WebSearchOptions;
+}
+export declare namespace ChatCompletionCreateParams {
+    /**
+     * @deprecated
+     */
+    interface Function {
+        /**
+         * The name of the function to be called. Must be a-z, A-Z, 0-9, or contain
+         * underscores and dashes, with a maximum length of 64.
+         */
+        name: string;
+        /**
+         * A description of what the function does, used by the model to choose when and
+         * how to call the function.
+         */
+        description?: string;
+        /**
+         * The parameters the functions accepts, described as a JSON Schema object. See the
+         * [guide](https://platform.openai.com/docs/guides/function-calling) for examples,
+         * and the
+         * [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
+         * documentation about the format.
+         *
+         * Omitting `parameters` defines a function with an empty parameter list.
+         */
+        parameters?: Shared.FunctionParameters;
+    }
+    /**
+     * This tool searches the web for relevant results to use in a response. Learn more
+     * about the
+     * [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+     */
+    interface WebSearchOptions {
+        /**
+         * High level guidance for the amount of context window space to use for the
+         * search. One of `low`, `medium`, or `high`. `medium` is the default.
+         */
+        search_context_size?: 'low' | 'medium' | 'high';
+        /**
+         * Approximate location parameters for the search.
+         */
+        user_location?: WebSearchOptions.UserLocation | null;
+    }
+    namespace WebSearchOptions {
+        /**
+         * Approximate location parameters for the search.
+         */
+        interface UserLocation {
+            /**
+             * Approximate location parameters for the search.
+             */
+            approximate: UserLocation.Approximate;
+            /**
+             * The type of location approximation. Always `approximate`.
+             */
+            type: 'approximate';
+        }
+        namespace UserLocation {
+            /**
+             * Approximate location parameters for the search.
+             */
+            interface Approximate {
+                /**
+                 * Free text input for the city of the user, e.g. `San Francisco`.
+                 */
+                city?: string;
+                /**
+                 * The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of
+                 * the user, e.g. `US`.
+                 */
+                country?: string;
+                /**
+                 * Free text input for the region of the user, e.g. `California`.
+                 */
+                region?: string;
+                /**
+                 * The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the
+                 * user, e.g. `America/Los_Angeles`.
+                 */
+                timezone?: string;
+            }
+        }
+    }
+    type ChatCompletionCreateParamsNonStreaming = CompletionsCompletionsAPI.ChatCompletionCreateParamsNonStreaming;
+    type ChatCompletionCreateParamsStreaming = CompletionsCompletionsAPI.ChatCompletionCreateParamsStreaming;
+}
+export interface ChatCompletionCreateParamsNonStreaming extends ChatCompletionCreateParamsBase {
+    /**
+     * If set to true, the model response data will be streamed to the client as it is
+     * generated using
+     * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+     * See the
+     * [Streaming section below](https://platform.openai.com/docs/api-reference/chat/streaming)
+     * for more information, along with the
+     * [streaming responses](https://platform.openai.com/docs/guides/streaming-responses)
+     * guide for more information on how to handle the streaming events.
+     */
+    stream?: false | null;
+}
+export interface ChatCompletionCreateParamsStreaming extends ChatCompletionCreateParamsBase {
+    /**
+     * If set to true, the model response data will be streamed to the client as it is
+     * generated using
+     * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+     * See the
+     * [Streaming section below](https://platform.openai.com/docs/api-reference/chat/streaming)
+     * for more information, along with the
+     * [streaming responses](https://platform.openai.com/docs/guides/streaming-responses)
+     * guide for more information on how to handle the streaming events.
+     */
+    stream: true;
+}
+export interface ChatCompletionUpdateParams {
+    /**
+     * 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 ChatCompletionListParams extends CursorPageParams {
+    /**
+     * A list of metadata keys to filter the Chat Completions by. Example:
+     *
+     * `metadata[key1]=value1&metadata[key2]=value2`
+     */
+    metadata?: Shared.Metadata | null;
+    /**
+     * The model used to generate the Chat Completions.
+     */
+    model?: string;
+    /**
+     * Sort order for Chat Completions by timestamp. Use `asc` for ascending order or
+     * `desc` for descending order. Defaults to `asc`.
+     */
+    order?: 'asc' | 'desc';
+}
+export declare namespace Completions {
+    export { type ChatCompletion as ChatCompletion, type ChatCompletionAllowedToolChoice as ChatCompletionAllowedToolChoice, type ChatCompletionAssistantMessageParam as ChatCompletionAssistantMessageParam, type ChatCompletionAudio as ChatCompletionAudio, type ChatCompletionAudioParam as ChatCompletionAudioParam, type ChatCompletionChunk as ChatCompletionChunk, type ChatCompletionContentPart as ChatCompletionContentPart, type ChatCompletionContentPartImage as ChatCompletionContentPartImage, type ChatCompletionContentPartInputAudio as ChatCompletionContentPartInputAudio, type ChatCompletionContentPartRefusal as ChatCompletionContentPartRefusal, type ChatCompletionContentPartText as ChatCompletionContentPartText, type ChatCompletionCustomTool as ChatCompletionCustomTool, type ChatCompletionDeleted as ChatCompletionDeleted, type ChatCompletionDeveloperMessageParam as ChatCompletionDeveloperMessageParam, type ChatCompletionFunctionCallOption as ChatCompletionFunctionCallOption, type ChatCompletionFunctionMessageParam as ChatCompletionFunctionMessageParam, type ChatCompletionFunctionTool as ChatCompletionFunctionTool, type ChatCompletionMessage as ChatCompletionMessage, type ChatCompletionMessageCustomToolCall as ChatCompletionMessageCustomToolCall, type ChatCompletionMessageFunctionToolCall as ChatCompletionMessageFunctionToolCall, type ChatCompletionMessageParam as ChatCompletionMessageParam, type ChatCompletionMessageToolCall as ChatCompletionMessageToolCall, type ChatCompletionModality as ChatCompletionModality, type ChatCompletionNamedToolChoice as ChatCompletionNamedToolChoice, type ChatCompletionNamedToolChoiceCustom as ChatCompletionNamedToolChoiceCustom, type ChatCompletionPredictionContent as ChatCompletionPredictionContent, type ChatCompletionRole as ChatCompletionRole, type ChatCompletionStoreMessage as ChatCompletionStoreMessage, type ChatCompletionStreamOptions as ChatCompletionStreamOptions, type ChatCompletionSystemMessageParam as ChatCompletionSystemMessageParam, type ChatCompletionTokenLogprob as ChatCompletionTokenLogprob, type ChatCompletionTool as ChatCompletionTool, type ChatCompletionToolChoiceOption as ChatCompletionToolChoiceOption, type ChatCompletionToolMessageParam as ChatCompletionToolMessageParam, type ChatCompletionUserMessageParam as ChatCompletionUserMessageParam, type ChatCompletionAllowedTools as ChatCompletionAllowedTools, type ChatCompletionReasoningEffort as ChatCompletionReasoningEffort, type ChatCompletionsPage as ChatCompletionsPage, type ChatCompletionCreateParams as ChatCompletionCreateParams, type ChatCompletionCreateParamsNonStreaming as ChatCompletionCreateParamsNonStreaming, type ChatCompletionCreateParamsStreaming as ChatCompletionCreateParamsStreaming, type ChatCompletionUpdateParams as ChatCompletionUpdateParams, type ChatCompletionListParams as ChatCompletionListParams, };
+    export { Messages as Messages, type MessageListParams as MessageListParams };
+}
+//# sourceMappingURL=completions.d.mts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/chat/completions/completions.d.ts

@@ -0,0 +1,1624 @@
+import { APIResource } from "../../../core/resource.js";
+import * as CompletionsCompletionsAPI from "./completions.js";
+import * as CompletionsAPI from "../../completions.js";
+import * as Shared from "../../shared.js";
+import * as MessagesAPI from "./messages.js";
+import { MessageListParams, Messages } from "./messages.js";
+import { APIPromise } from "../../../core/api-promise.js";
+import { CursorPage, type CursorPageParams, PagePromise } from "../../../core/pagination.js";
+import { Stream } from "../../../core/streaming.js";
+import { RequestOptions } from "../../../internal/request-options.js";
+import { ChatCompletionRunner } from "../../../lib/ChatCompletionRunner.js";
+import { ChatCompletionStreamingRunner } from "../../../lib/ChatCompletionStreamingRunner.js";
+import { RunnerOptions } from "../../../lib/AbstractChatCompletionRunner.js";
+import { ChatCompletionToolRunnerParams } from "../../../lib/ChatCompletionRunner.js";
+import { ChatCompletionStreamingToolRunnerParams } from "../../../lib/ChatCompletionStreamingRunner.js";
+import { ChatCompletionStream, type ChatCompletionStreamParams } from "../../../lib/ChatCompletionStream.js";
+import { ExtractParsedContentFromParams } from "../../../lib/parser.js";
+export declare class Completions extends APIResource {
+    messages: MessagesAPI.Messages;
+    /**
+     * **Starting a new project?** We recommend trying
+     * [Responses](https://platform.openai.com/docs/api-reference/responses) to take
+     * advantage of the latest OpenAI platform features. Compare
+     * [Chat Completions with Responses](https://platform.openai.com/docs/guides/responses-vs-chat-completions?api-mode=responses).
+     *
+     * ---
+     *
+     * Creates a model response for the given chat conversation. Learn more in the
+     * [text generation](https://platform.openai.com/docs/guides/text-generation),
+     * [vision](https://platform.openai.com/docs/guides/vision), and
+     * [audio](https://platform.openai.com/docs/guides/audio) guides.
+     *
+     * Parameter support can differ depending on the model used to generate the
+     * response, particularly for newer reasoning models. Parameters that are only
+     * supported for reasoning models are noted below. For the current state of
+     * unsupported parameters in reasoning models,
+     * [refer to the reasoning guide](https://platform.openai.com/docs/guides/reasoning).
+     *
+     * @example
+     * ```ts
+     * const chatCompletion = await client.chat.completions.create(
+     *   {
+     *     messages: [{ content: 'string', role: 'developer' }],
+     *     model: 'gpt-4o',
+     *   },
+     * );
+     * ```
+     */
+    create(body: ChatCompletionCreateParamsNonStreaming, options?: RequestOptions): APIPromise<ChatCompletion>;
+    create(body: ChatCompletionCreateParamsStreaming, options?: RequestOptions): APIPromise<Stream<ChatCompletionChunk>>;
+    create(body: ChatCompletionCreateParamsBase, options?: RequestOptions): APIPromise<Stream<ChatCompletionChunk> | ChatCompletion>;
+    /**
+     * Get a stored chat completion. Only Chat Completions that have been created with
+     * the `store` parameter set to `true` will be returned.
+     *
+     * @example
+     * ```ts
+     * const chatCompletion =
+     *   await client.chat.completions.retrieve('completion_id');
+     * ```
+     */
+    retrieve(completionID: string, options?: RequestOptions): APIPromise<ChatCompletion>;
+    /**
+     * Modify a stored chat completion. Only Chat Completions that have been created
+     * with the `store` parameter set to `true` can be modified. Currently, the only
+     * supported modification is to update the `metadata` field.
+     *
+     * @example
+     * ```ts
+     * const chatCompletion = await client.chat.completions.update(
+     *   'completion_id',
+     *   { metadata: { foo: 'string' } },
+     * );
+     * ```
+     */
+    update(completionID: string, body: ChatCompletionUpdateParams, options?: RequestOptions): APIPromise<ChatCompletion>;
+    /**
+     * List stored Chat Completions. Only Chat Completions that have been stored with
+     * the `store` parameter set to `true` will be returned.
+     *
+     * @example
+     * ```ts
+     * // Automatically fetches more pages as needed.
+     * for await (const chatCompletion of client.chat.completions.list()) {
+     *   // ...
+     * }
+     * ```
+     */
+    list(query?: ChatCompletionListParams | null | undefined, options?: RequestOptions): PagePromise<ChatCompletionsPage, ChatCompletion>;
+    /**
+     * Delete a stored chat completion. Only Chat Completions that have been created
+     * with the `store` parameter set to `true` can be deleted.
+     *
+     * @example
+     * ```ts
+     * const chatCompletionDeleted =
+     *   await client.chat.completions.delete('completion_id');
+     * ```
+     */
+    delete(completionID: string, options?: RequestOptions): APIPromise<ChatCompletionDeleted>;
+    parse<Params extends ChatCompletionParseParams, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: RequestOptions): APIPromise<ParsedChatCompletion<ParsedT>>;
+    /**
+     * A convenience helper for using tool calls with the /chat/completions endpoint
+     * which automatically calls the JavaScript functions you provide and sends their
+     * results back to the /chat/completions endpoint, looping as long as the model
+     * requests function calls.
+     *
+     * For more details and examples, see
+     * [the docs](https://github.com/openai/openai-node#automated-function-calls)
+     */
+    runTools<Params extends ChatCompletionToolRunnerParams<any>, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: RunnerOptions): ChatCompletionRunner<ParsedT>;
+    runTools<Params extends ChatCompletionStreamingToolRunnerParams<any>, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: RunnerOptions): ChatCompletionStreamingRunner<ParsedT>;
+    /**
+     * Creates a chat completion stream
+     */
+    stream<Params extends ChatCompletionStreamParams, ParsedT = ExtractParsedContentFromParams<Params>>(body: Params, options?: RequestOptions): ChatCompletionStream<ParsedT>;
+}
+export interface ParsedFunction extends ChatCompletionMessageFunctionToolCall.Function {
+    parsed_arguments?: unknown;
+}
+export interface ParsedFunctionToolCall extends ChatCompletionMessageFunctionToolCall {
+    function: ParsedFunction;
+}
+export interface ParsedChatCompletionMessage<ParsedT> extends ChatCompletionMessage {
+    parsed: ParsedT | null;
+    tool_calls?: Array<ParsedFunctionToolCall>;
+}
+export interface ParsedChoice<ParsedT> extends ChatCompletion.Choice {
+    message: ParsedChatCompletionMessage<ParsedT>;
+}
+export interface ParsedChatCompletion<ParsedT> extends ChatCompletion {
+    choices: Array<ParsedChoice<ParsedT>>;
+}
+export type ChatCompletionParseParams = ChatCompletionCreateParamsNonStreaming;
+export { ChatCompletionStreamingRunner } from "../../../lib/ChatCompletionStreamingRunner.js";
+export { type RunnableFunctionWithParse, type RunnableFunctionWithoutParse, ParsingToolFunction, } from "../../../lib/RunnableFunction.js";
+export { type ChatCompletionToolRunnerParams } from "../../../lib/ChatCompletionRunner.js";
+export { type ChatCompletionStreamingToolRunnerParams } from "../../../lib/ChatCompletionStreamingRunner.js";
+export { ChatCompletionStream, type ChatCompletionStreamParams } from "../../../lib/ChatCompletionStream.js";
+export { ChatCompletionRunner } from "../../../lib/ChatCompletionRunner.js";
+export type ChatCompletionsPage = CursorPage<ChatCompletion>;
+export type ChatCompletionStoreMessagesPage = CursorPage<ChatCompletionStoreMessage>;
+/**
+ * Represents a chat completion response returned by model, based on the provided
+ * input.
+ */
+export interface ChatCompletion {
+    /**
+     * A unique identifier for the chat completion.
+     */
+    id: string;
+    /**
+     * A list of chat completion choices. Can be more than one if `n` is greater
+     * than 1.
+     */
+    choices: Array<ChatCompletion.Choice>;
+    /**
+     * The Unix timestamp (in seconds) of when the chat completion was created.
+     */
+    created: number;
+    /**
+     * The model used for the chat completion.
+     */
+    model: string;
+    /**
+     * The object type, which is always `chat.completion`.
+     */
+    object: 'chat.completion';
+    /**
+     * Specifies the processing type used for serving the request.
+     *
+     * - If set to 'auto', then the request will be processed with the service tier
+     *   configured in the Project settings. Unless otherwise configured, the Project
+     *   will use 'default'.
+     * - If set to 'default', then the request will be processed with the standard
+     *   pricing and performance for the selected model.
+     * - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or
+     *   '[priority](https://openai.com/api-priority-processing/)', then the request
+     *   will be processed with the corresponding service tier.
+     * - When not set, the default behavior is 'auto'.
+     *
+     * When the `service_tier` parameter is set, the response body will include the
+     * `service_tier` value based on the processing mode actually used to serve the
+     * request. This response value may be different from the value set in the
+     * parameter.
+     */
+    service_tier?: 'auto' | 'default' | 'flex' | 'scale' | 'priority' | null;
+    /**
+     * @deprecated This fingerprint represents the backend configuration that the model
+     * runs with.
+     *
+     * Can be used in conjunction with the `seed` request parameter to understand when
+     * backend changes have been made that might impact determinism.
+     */
+    system_fingerprint?: string;
+    /**
+     * Usage statistics for the completion request.
+     */
+    usage?: CompletionsAPI.CompletionUsage;
+}
+export declare namespace ChatCompletion {
+    interface Choice {
+        /**
+         * The reason the model stopped generating tokens. This will be `stop` if the model
+         * hit a natural stop point or a provided stop sequence, `length` if the maximum
+         * number of tokens specified in the request was reached, `content_filter` if
+         * content was omitted due to a flag from our content filters, `tool_calls` if the
+         * model called a tool, or `function_call` (deprecated) if the model called a
+         * function.
+         */
+        finish_reason: 'stop' | 'length' | 'tool_calls' | 'content_filter' | 'function_call';
+        /**
+         * The index of the choice in the list of choices.
+         */
+        index: number;
+        /**
+         * Log probability information for the choice.
+         */
+        logprobs: Choice.Logprobs | null;
+        /**
+         * A chat completion message generated by the model.
+         */
+        message: CompletionsCompletionsAPI.ChatCompletionMessage;
+    }
+    namespace Choice {
+        /**
+         * Log probability information for the choice.
+         */
+        interface Logprobs {
+            /**
+             * A list of message content tokens with log probability information.
+             */
+            content: Array<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | null;
+            /**
+             * A list of message refusal tokens with log probability information.
+             */
+            refusal: Array<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | null;
+        }
+    }
+}
+/**
+ * Constrains the tools available to the model to a pre-defined set.
+ */
+export interface ChatCompletionAllowedToolChoice {
+    /**
+     * Constrains the tools available to the model to a pre-defined set.
+     */
+    allowed_tools: ChatCompletionAllowedTools;
+    /**
+     * Allowed tool configuration type. Always `allowed_tools`.
+     */
+    type: 'allowed_tools';
+}
+/**
+ * Messages sent by the model in response to user messages.
+ */
+export interface ChatCompletionAssistantMessageParam {
+    /**
+     * The role of the messages author, in this case `assistant`.
+     */
+    role: 'assistant';
+    /**
+     * Data about a previous audio response from the model.
+     * [Learn more](https://platform.openai.com/docs/guides/audio).
+     */
+    audio?: ChatCompletionAssistantMessageParam.Audio | null;
+    /**
+     * The contents of the assistant message. Required unless `tool_calls` or
+     * `function_call` is specified.
+     */
+    content?: string | Array<ChatCompletionContentPartText | ChatCompletionContentPartRefusal> | null;
+    /**
+     * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+     * function that should be called, as generated by the model.
+     */
+    function_call?: ChatCompletionAssistantMessageParam.FunctionCall | null;
+    /**
+     * An optional name for the participant. Provides the model information to
+     * differentiate between participants of the same role.
+     */
+    name?: string;
+    /**
+     * The refusal message by the assistant.
+     */
+    refusal?: string | null;
+    /**
+     * The tool calls generated by the model, such as function calls.
+     */
+    tool_calls?: Array<ChatCompletionMessageToolCall>;
+}
+export declare namespace ChatCompletionAssistantMessageParam {
+    /**
+     * Data about a previous audio response from the model.
+     * [Learn more](https://platform.openai.com/docs/guides/audio).
+     */
+    interface Audio {
+        /**
+         * Unique identifier for a previous audio response from the model.
+         */
+        id: string;
+    }
+    /**
+     * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+     * function that should be called, as generated by the model.
+     */
+    interface FunctionCall {
+        /**
+         * The arguments to call the function with, as generated by the model in JSON
+         * format. Note that the model does not always generate valid JSON, and may
+         * hallucinate parameters not defined by your function schema. Validate the
+         * arguments in your code before calling your function.
+         */
+        arguments: string;
+        /**
+         * The name of the function to call.
+         */
+        name: string;
+    }
+}
+/**
+ * If the audio output modality is requested, this object contains data about the
+ * audio response from the model.
+ * [Learn more](https://platform.openai.com/docs/guides/audio).
+ */
+export interface ChatCompletionAudio {
+    /**
+     * Unique identifier for this audio response.
+     */
+    id: string;
+    /**
+     * Base64 encoded audio bytes generated by the model, in the format specified in
+     * the request.
+     */
+    data: string;
+    /**
+     * The Unix timestamp (in seconds) for when this audio response will no longer be
+     * accessible on the server for use in multi-turn conversations.
+     */
+    expires_at: number;
+    /**
+     * Transcript of the audio generated by the model.
+     */
+    transcript: string;
+}
+/**
+ * Parameters for audio output. Required when audio output is requested with
+ * `modalities: ["audio"]`.
+ * [Learn more](https://platform.openai.com/docs/guides/audio).
+ */
+export interface ChatCompletionAudioParam {
+    /**
+     * Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`, `opus`,
+     * or `pcm16`.
+     */
+    format: 'wav' | 'aac' | 'mp3' | 'flac' | 'opus' | 'pcm16';
+    /**
+     * The voice the model uses to respond. Supported voices are `alloy`, `ash`,
+     * `ballad`, `coral`, `echo`, `fable`, `nova`, `onyx`, `sage`, and `shimmer`.
+     */
+    voice: (string & {}) | 'alloy' | 'ash' | 'ballad' | 'coral' | 'echo' | 'sage' | 'shimmer' | 'verse';
+}
+/**
+ * Represents a streamed chunk of a chat completion response returned by the model,
+ * based on the provided input.
+ * [Learn more](https://platform.openai.com/docs/guides/streaming-responses).
+ */
+export interface ChatCompletionChunk {
+    /**
+     * A unique identifier for the chat completion. Each chunk has the same ID.
+     */
+    id: string;
+    /**
+     * A list of chat completion choices. Can contain more than one elements if `n` is
+     * greater than 1. Can also be empty for the last chunk if you set
+     * `stream_options: {"include_usage": true}`.
+     */
+    choices: Array<ChatCompletionChunk.Choice>;
+    /**
+     * The Unix timestamp (in seconds) of when the chat completion was created. Each
+     * chunk has the same timestamp.
+     */
+    created: number;
+    /**
+     * The model to generate the completion.
+     */
+    model: string;
+    /**
+     * The object type, which is always `chat.completion.chunk`.
+     */
+    object: 'chat.completion.chunk';
+    /**
+     * Specifies the processing type used for serving the request.
+     *
+     * - If set to 'auto', then the request will be processed with the service tier
+     *   configured in the Project settings. Unless otherwise configured, the Project
+     *   will use 'default'.
+     * - If set to 'default', then the request will be processed with the standard
+     *   pricing and performance for the selected model.
+     * - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or
+     *   '[priority](https://openai.com/api-priority-processing/)', then the request
+     *   will be processed with the corresponding service tier.
+     * - When not set, the default behavior is 'auto'.
+     *
+     * When the `service_tier` parameter is set, the response body will include the
+     * `service_tier` value based on the processing mode actually used to serve the
+     * request. This response value may be different from the value set in the
+     * parameter.
+     */
+    service_tier?: 'auto' | 'default' | 'flex' | 'scale' | 'priority' | null;
+    /**
+     * @deprecated This fingerprint represents the backend configuration that the model
+     * runs with. Can be used in conjunction with the `seed` request parameter to
+     * understand when backend changes have been made that might impact determinism.
+     */
+    system_fingerprint?: string;
+    /**
+     * An optional field that will only be present when you set
+     * `stream_options: {"include_usage": true}` in your request. When present, it
+     * contains a null value **except for the last chunk** which contains the token
+     * usage statistics for the entire request.
+     *
+     * **NOTE:** If the stream is interrupted or cancelled, you may not receive the
+     * final usage chunk which contains the total token usage for the request.
+     */
+    usage?: CompletionsAPI.CompletionUsage | null;
+}
+export declare namespace ChatCompletionChunk {
+    interface Choice {
+        /**
+         * A chat completion delta generated by streamed model responses.
+         */
+        delta: Choice.Delta;
+        /**
+         * The reason the model stopped generating tokens. This will be `stop` if the model
+         * hit a natural stop point or a provided stop sequence, `length` if the maximum
+         * number of tokens specified in the request was reached, `content_filter` if
+         * content was omitted due to a flag from our content filters, `tool_calls` if the
+         * model called a tool, or `function_call` (deprecated) if the model called a
+         * function.
+         */
+        finish_reason: 'stop' | 'length' | 'tool_calls' | 'content_filter' | 'function_call' | null;
+        /**
+         * The index of the choice in the list of choices.
+         */
+        index: number;
+        /**
+         * Log probability information for the choice.
+         */
+        logprobs?: Choice.Logprobs | null;
+    }
+    namespace Choice {
+        /**
+         * A chat completion delta generated by streamed model responses.
+         */
+        interface Delta {
+            /**
+             * The contents of the chunk message.
+             */
+            content?: string | null;
+            /**
+             * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+             * function that should be called, as generated by the model.
+             */
+            function_call?: Delta.FunctionCall;
+            /**
+             * The refusal message generated by the model.
+             */
+            refusal?: string | null;
+            /**
+             * The role of the author of this message.
+             */
+            role?: 'developer' | 'system' | 'user' | 'assistant' | 'tool';
+            tool_calls?: Array<Delta.ToolCall>;
+        }
+        namespace Delta {
+            /**
+             * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+             * function that should be called, as generated by the model.
+             */
+            interface FunctionCall {
+                /**
+                 * The arguments to call the function with, as generated by the model in JSON
+                 * format. Note that the model does not always generate valid JSON, and may
+                 * hallucinate parameters not defined by your function schema. Validate the
+                 * arguments in your code before calling your function.
+                 */
+                arguments?: string;
+                /**
+                 * The name of the function to call.
+                 */
+                name?: string;
+            }
+            interface ToolCall {
+                index: number;
+                /**
+                 * The ID of the tool call.
+                 */
+                id?: string;
+                function?: ToolCall.Function;
+                /**
+                 * The type of the tool. Currently, only `function` is supported.
+                 */
+                type?: 'function';
+            }
+            namespace ToolCall {
+                interface Function {
+                    /**
+                     * The arguments to call the function with, as generated by the model in JSON
+                     * format. Note that the model does not always generate valid JSON, and may
+                     * hallucinate parameters not defined by your function schema. Validate the
+                     * arguments in your code before calling your function.
+                     */
+                    arguments?: string;
+                    /**
+                     * The name of the function to call.
+                     */
+                    name?: string;
+                }
+            }
+        }
+        /**
+         * Log probability information for the choice.
+         */
+        interface Logprobs {
+            /**
+             * A list of message content tokens with log probability information.
+             */
+            content: Array<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | null;
+            /**
+             * A list of message refusal tokens with log probability information.
+             */
+            refusal: Array<CompletionsCompletionsAPI.ChatCompletionTokenLogprob> | null;
+        }
+    }
+}
+/**
+ * Learn about
+ * [text inputs](https://platform.openai.com/docs/guides/text-generation).
+ */
+export type ChatCompletionContentPart = ChatCompletionContentPartText | ChatCompletionContentPartImage | ChatCompletionContentPartInputAudio | ChatCompletionContentPart.File;
+export declare namespace ChatCompletionContentPart {
+    /**
+     * Learn about [file inputs](https://platform.openai.com/docs/guides/text) for text
+     * generation.
+     */
+    interface File {
+        file: File.File;
+        /**
+         * The type of the content part. Always `file`.
+         */
+        type: 'file';
+    }
+    namespace File {
+        interface File {
+            /**
+             * The base64 encoded file data, used when passing the file to the model as a
+             * string.
+             */
+            file_data?: string;
+            /**
+             * The ID of an uploaded file to use as input.
+             */
+            file_id?: string;
+            /**
+             * The name of the file, used when passing the file to the model as a string.
+             */
+            filename?: string;
+        }
+    }
+}
+/**
+ * Learn about [image inputs](https://platform.openai.com/docs/guides/vision).
+ */
+export interface ChatCompletionContentPartImage {
+    image_url: ChatCompletionContentPartImage.ImageURL;
+    /**
+     * The type of the content part.
+     */
+    type: 'image_url';
+}
+export declare namespace ChatCompletionContentPartImage {
+    interface ImageURL {
+        /**
+         * Either a URL of the image or the base64 encoded image data.
+         */
+        url: string;
+        /**
+         * Specifies the detail level of the image. Learn more in the
+         * [Vision guide](https://platform.openai.com/docs/guides/vision#low-or-high-fidelity-image-understanding).
+         */
+        detail?: 'auto' | 'low' | 'high';
+    }
+}
+/**
+ * Learn about [audio inputs](https://platform.openai.com/docs/guides/audio).
+ */
+export interface ChatCompletionContentPartInputAudio {
+    input_audio: ChatCompletionContentPartInputAudio.InputAudio;
+    /**
+     * The type of the content part. Always `input_audio`.
+     */
+    type: 'input_audio';
+}
+export declare namespace ChatCompletionContentPartInputAudio {
+    interface InputAudio {
+        /**
+         * Base64 encoded audio data.
+         */
+        data: string;
+        /**
+         * The format of the encoded audio data. Currently supports "wav" and "mp3".
+         */
+        format: 'wav' | 'mp3';
+    }
+}
+export interface ChatCompletionContentPartRefusal {
+    /**
+     * The refusal message generated by the model.
+     */
+    refusal: string;
+    /**
+     * The type of the content part.
+     */
+    type: 'refusal';
+}
+/**
+ * Learn about
+ * [text inputs](https://platform.openai.com/docs/guides/text-generation).
+ */
+export interface ChatCompletionContentPartText {
+    /**
+     * The text content.
+     */
+    text: string;
+    /**
+     * The type of the content part.
+     */
+    type: 'text';
+}
+/**
+ * A custom tool that processes input using a specified format.
+ */
+export interface ChatCompletionCustomTool {
+    /**
+     * Properties of the custom tool.
+     */
+    custom: ChatCompletionCustomTool.Custom;
+    /**
+     * The type of the custom tool. Always `custom`.
+     */
+    type: 'custom';
+}
+export declare namespace ChatCompletionCustomTool {
+    /**
+     * Properties of the custom tool.
+     */
+    interface Custom {
+        /**
+         * The name of the custom tool, used to identify it in tool calls.
+         */
+        name: string;
+        /**
+         * Optional description of the custom tool, used to provide more context.
+         */
+        description?: string;
+        /**
+         * The input format for the custom tool. Default is unconstrained text.
+         */
+        format?: Custom.Text | Custom.Grammar;
+    }
+    namespace Custom {
+        /**
+         * Unconstrained free-form text.
+         */
+        interface Text {
+            /**
+             * Unconstrained text format. Always `text`.
+             */
+            type: 'text';
+        }
+        /**
+         * A grammar defined by the user.
+         */
+        interface Grammar {
+            /**
+             * Your chosen grammar.
+             */
+            grammar: Grammar.Grammar;
+            /**
+             * Grammar format. Always `grammar`.
+             */
+            type: 'grammar';
+        }
+        namespace Grammar {
+            /**
+             * Your chosen grammar.
+             */
+            interface Grammar {
+                /**
+                 * The grammar definition.
+                 */
+                definition: string;
+                /**
+                 * The syntax of the grammar definition. One of `lark` or `regex`.
+                 */
+                syntax: 'lark' | 'regex';
+            }
+        }
+    }
+}
+export interface ChatCompletionDeleted {
+    /**
+     * The ID of the chat completion that was deleted.
+     */
+    id: string;
+    /**
+     * Whether the chat completion was deleted.
+     */
+    deleted: boolean;
+    /**
+     * The type of object being deleted.
+     */
+    object: 'chat.completion.deleted';
+}
+/**
+ * Developer-provided instructions that the model should follow, regardless of
+ * messages sent by the user. With o1 models and newer, `developer` messages
+ * replace the previous `system` messages.
+ */
+export interface ChatCompletionDeveloperMessageParam {
+    /**
+     * The contents of the developer message.
+     */
+    content: string | Array<ChatCompletionContentPartText>;
+    /**
+     * The role of the messages author, in this case `developer`.
+     */
+    role: 'developer';
+    /**
+     * An optional name for the participant. Provides the model information to
+     * differentiate between participants of the same role.
+     */
+    name?: string;
+}
+/**
+ * Specifying a particular function via `{"name": "my_function"}` forces the model
+ * to call that function.
+ */
+export interface ChatCompletionFunctionCallOption {
+    /**
+     * The name of the function to call.
+     */
+    name: string;
+}
+/**
+ * @deprecated
+ */
+export interface ChatCompletionFunctionMessageParam {
+    /**
+     * The contents of the function message.
+     */
+    content: string | null;
+    /**
+     * The name of the function to call.
+     */
+    name: string;
+    /**
+     * The role of the messages author, in this case `function`.
+     */
+    role: 'function';
+}
+/**
+ * A function tool that can be used to generate a response.
+ */
+export interface ChatCompletionFunctionTool {
+    function: Shared.FunctionDefinition;
+    /**
+     * The type of the tool. Currently, only `function` is supported.
+     */
+    type: 'function';
+}
+/**
+ * A chat completion message generated by the model.
+ */
+export interface ChatCompletionMessage {
+    /**
+     * The contents of the message.
+     */
+    content: string | null;
+    /**
+     * The refusal message generated by the model.
+     */
+    refusal: string | null;
+    /**
+     * The role of the author of this message.
+     */
+    role: 'assistant';
+    /**
+     * Annotations for the message, when applicable, as when using the
+     * [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+     */
+    annotations?: Array<ChatCompletionMessage.Annotation>;
+    /**
+     * If the audio output modality is requested, this object contains data about the
+     * audio response from the model.
+     * [Learn more](https://platform.openai.com/docs/guides/audio).
+     */
+    audio?: ChatCompletionAudio | null;
+    /**
+     * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+     * function that should be called, as generated by the model.
+     */
+    function_call?: ChatCompletionMessage.FunctionCall | null;
+    /**
+     * The tool calls generated by the model, such as function calls.
+     */
+    tool_calls?: Array<ChatCompletionMessageToolCall>;
+}
+export declare namespace ChatCompletionMessage {
+    /**
+     * A URL citation when using web search.
+     */
+    interface Annotation {
+        /**
+         * The type of the URL citation. Always `url_citation`.
+         */
+        type: 'url_citation';
+        /**
+         * A URL citation when using web search.
+         */
+        url_citation: Annotation.URLCitation;
+    }
+    namespace Annotation {
+        /**
+         * A URL citation when using web search.
+         */
+        interface URLCitation {
+            /**
+             * The index of the last character of the URL citation in the message.
+             */
+            end_index: number;
+            /**
+             * The index of the first character of the URL citation in the message.
+             */
+            start_index: number;
+            /**
+             * The title of the web resource.
+             */
+            title: string;
+            /**
+             * The URL of the web resource.
+             */
+            url: string;
+        }
+    }
+    /**
+     * @deprecated Deprecated and replaced by `tool_calls`. The name and arguments of a
+     * function that should be called, as generated by the model.
+     */
+    interface FunctionCall {
+        /**
+         * The arguments to call the function with, as generated by the model in JSON
+         * format. Note that the model does not always generate valid JSON, and may
+         * hallucinate parameters not defined by your function schema. Validate the
+         * arguments in your code before calling your function.
+         */
+        arguments: string;
+        /**
+         * The name of the function to call.
+         */
+        name: string;
+    }
+}
+/**
+ * A call to a custom tool created by the model.
+ */
+export interface ChatCompletionMessageCustomToolCall {
+    /**
+     * The ID of the tool call.
+     */
+    id: string;
+    /**
+     * The custom tool that the model called.
+     */
+    custom: ChatCompletionMessageCustomToolCall.Custom;
+    /**
+     * The type of the tool. Always `custom`.
+     */
+    type: 'custom';
+}
+export declare namespace ChatCompletionMessageCustomToolCall {
+    /**
+     * The custom tool that the model called.
+     */
+    interface Custom {
+        /**
+         * The input for the custom tool call generated by the model.
+         */
+        input: string;
+        /**
+         * The name of the custom tool to call.
+         */
+        name: string;
+    }
+}
+/**
+ * A call to a function tool created by the model.
+ */
+export interface ChatCompletionMessageFunctionToolCall {
+    /**
+     * The ID of the tool call.
+     */
+    id: string;
+    /**
+     * The function that the model called.
+     */
+    function: ChatCompletionMessageFunctionToolCall.Function;
+    /**
+     * The type of the tool. Currently, only `function` is supported.
+     */
+    type: 'function';
+}
+export declare namespace ChatCompletionMessageFunctionToolCall {
+    /**
+     * The function that the model called.
+     */
+    interface Function {
+        /**
+         * The arguments to call the function with, as generated by the model in JSON
+         * format. Note that the model does not always generate valid JSON, and may
+         * hallucinate parameters not defined by your function schema. Validate the
+         * arguments in your code before calling your function.
+         */
+        arguments: string;
+        /**
+         * The name of the function to call.
+         */
+        name: string;
+    }
+}
+/**
+ * Developer-provided instructions that the model should follow, regardless of
+ * messages sent by the user. With o1 models and newer, `developer` messages
+ * replace the previous `system` messages.
+ */
+export type ChatCompletionMessageParam = ChatCompletionDeveloperMessageParam | ChatCompletionSystemMessageParam | ChatCompletionUserMessageParam | ChatCompletionAssistantMessageParam | ChatCompletionToolMessageParam | ChatCompletionFunctionMessageParam;
+/**
+ * A call to a function tool created by the model.
+ */
+export type ChatCompletionMessageToolCall = ChatCompletionMessageFunctionToolCall | ChatCompletionMessageCustomToolCall;
+export type ChatCompletionModality = 'text' | 'audio';
+/**
+ * Specifies a tool the model should use. Use to force the model to call a specific
+ * function.
+ */
+export interface ChatCompletionNamedToolChoice {
+    function: ChatCompletionNamedToolChoice.Function;
+    /**
+     * For function calling, the type is always `function`.
+     */
+    type: 'function';
+}
+export declare namespace ChatCompletionNamedToolChoice {
+    interface Function {
+        /**
+         * The name of the function to call.
+         */
+        name: string;
+    }
+}
+/**
+ * Specifies a tool the model should use. Use to force the model to call a specific
+ * custom tool.
+ */
+export interface ChatCompletionNamedToolChoiceCustom {
+    custom: ChatCompletionNamedToolChoiceCustom.Custom;
+    /**
+     * For custom tool calling, the type is always `custom`.
+     */
+    type: 'custom';
+}
+export declare namespace ChatCompletionNamedToolChoiceCustom {
+    interface Custom {
+        /**
+         * The name of the custom tool to call.
+         */
+        name: string;
+    }
+}
+/**
+ * Static predicted output content, such as the content of a text file that is
+ * being regenerated.
+ */
+export interface ChatCompletionPredictionContent {
+    /**
+     * The content that should be matched when generating a model response. If
+     * generated tokens would match this content, the entire model response can be
+     * returned much more quickly.
+     */
+    content: string | Array<ChatCompletionContentPartText>;
+    /**
+     * The type of the predicted content you want to provide. This type is currently
+     * always `content`.
+     */
+    type: 'content';
+}
+/**
+ * The role of the author of a message
+ */
+export type ChatCompletionRole = 'developer' | 'system' | 'user' | 'assistant' | 'tool' | 'function';
+/**
+ * A chat completion message generated by the model.
+ */
+export interface ChatCompletionStoreMessage extends ChatCompletionMessage {
+    /**
+     * The identifier of the chat message.
+     */
+    id: string;
+    /**
+     * If a content parts array was provided, this is an array of `text` and
+     * `image_url` parts. Otherwise, null.
+     */
+    content_parts?: Array<ChatCompletionContentPartText | ChatCompletionContentPartImage> | null;
+}
+/**
+ * Options for streaming response. Only set this when you set `stream: true`.
+ */
+export interface ChatCompletionStreamOptions {
+    /**
+     * When true, stream obfuscation will be enabled. Stream obfuscation adds random
+     * characters to an `obfuscation` field on streaming delta events to normalize
+     * payload sizes as a mitigation to certain side-channel attacks. These obfuscation
+     * fields are included by default, but add a small amount of overhead to the data
+     * stream. You can set `include_obfuscation` to false to optimize for bandwidth if
+     * you trust the network links between your application and the OpenAI API.
+     */
+    include_obfuscation?: boolean;
+    /**
+     * If set, an additional chunk will be streamed before the `data: [DONE]` message.
+     * The `usage` field on this chunk shows the token usage statistics for the entire
+     * request, and the `choices` field will always be an empty array.
+     *
+     * All other chunks will also include a `usage` field, but with a null value.
+     * **NOTE:** If the stream is interrupted, you may not receive the final usage
+     * chunk which contains the total token usage for the request.
+     */
+    include_usage?: boolean;
+}
+/**
+ * Developer-provided instructions that the model should follow, regardless of
+ * messages sent by the user. With o1 models and newer, use `developer` messages
+ * for this purpose instead.
+ */
+export interface ChatCompletionSystemMessageParam {
+    /**
+     * The contents of the system message.
+     */
+    content: string | Array<ChatCompletionContentPartText>;
+    /**
+     * The role of the messages author, in this case `system`.
+     */
+    role: 'system';
+    /**
+     * An optional name for the participant. Provides the model information to
+     * differentiate between participants of the same role.
+     */
+    name?: string;
+}
+export interface ChatCompletionTokenLogprob {
+    /**
+     * The token.
+     */
+    token: string;
+    /**
+     * A list of integers representing the UTF-8 bytes representation of the token.
+     * Useful in instances where characters are represented by multiple tokens and
+     * their byte representations must be combined to generate the correct text
+     * representation. Can be `null` if there is no bytes representation for the token.
+     */
+    bytes: Array<number> | null;
+    /**
+     * The log probability of this token, if it is within the top 20 most likely
+     * tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
+     * unlikely.
+     */
+    logprob: number;
+    /**
+     * List of the most likely tokens and their log probability, at this token
+     * position. In rare cases, there may be fewer than the number of requested
+     * `top_logprobs` returned.
+     */
+    top_logprobs: Array<ChatCompletionTokenLogprob.TopLogprob>;
+}
+export declare namespace ChatCompletionTokenLogprob {
+    interface TopLogprob {
+        /**
+         * The token.
+         */
+        token: string;
+        /**
+         * A list of integers representing the UTF-8 bytes representation of the token.
+         * Useful in instances where characters are represented by multiple tokens and
+         * their byte representations must be combined to generate the correct text
+         * representation. Can be `null` if there is no bytes representation for the token.
+         */
+        bytes: Array<number> | null;
+        /**
+         * The log probability of this token, if it is within the top 20 most likely
+         * tokens. Otherwise, the value `-9999.0` is used to signify that the token is very
+         * unlikely.
+         */
+        logprob: number;
+    }
+}
+/**
+ * A function tool that can be used to generate a response.
+ */
+export type ChatCompletionTool = ChatCompletionFunctionTool | ChatCompletionCustomTool;
+/**
+ * Controls which (if any) tool is called by the model. `none` means the model will
+ * not call any tool and instead generates a message. `auto` means the model can
+ * pick between generating a message or calling one or more tools. `required` means
+ * the model must call one or more tools. Specifying a particular tool via
+ * `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+ * call that tool.
+ *
+ * `none` is the default when no tools are present. `auto` is the default if tools
+ * are present.
+ */
+export type ChatCompletionToolChoiceOption = 'none' | 'auto' | 'required' | ChatCompletionAllowedToolChoice | ChatCompletionNamedToolChoice | ChatCompletionNamedToolChoiceCustom;
+export interface ChatCompletionToolMessageParam {
+    /**
+     * The contents of the tool message.
+     */
+    content: string | Array<ChatCompletionContentPartText>;
+    /**
+     * The role of the messages author, in this case `tool`.
+     */
+    role: 'tool';
+    /**
+     * Tool call that this message is responding to.
+     */
+    tool_call_id: string;
+}
+/**
+ * Messages sent by an end user, containing prompts or additional context
+ * information.
+ */
+export interface ChatCompletionUserMessageParam {
+    /**
+     * The contents of the user message.
+     */
+    content: string | Array<ChatCompletionContentPart>;
+    /**
+     * The role of the messages author, in this case `user`.
+     */
+    role: 'user';
+    /**
+     * An optional name for the participant. Provides the model information to
+     * differentiate between participants of the same role.
+     */
+    name?: string;
+}
+/**
+ * Constrains the tools available to the model to a pre-defined set.
+ */
+export interface ChatCompletionAllowedTools {
+    /**
+     * Constrains the tools available to the model to a pre-defined set.
+     *
+     * `auto` allows the model to pick from among the allowed tools and generate a
+     * message.
+     *
+     * `required` requires the model to call one or more of the allowed tools.
+     */
+    mode: 'auto' | 'required';
+    /**
+     * A list of tool definitions that the model should be allowed to call.
+     *
+     * For the Chat Completions API, the list of tool definitions might look like:
+     *
+     * ```json
+     * [
+     *   { "type": "function", "function": { "name": "get_weather" } },
+     *   { "type": "function", "function": { "name": "get_time" } }
+     * ]
+     * ```
+     */
+    tools: Array<{
+        [key: string]: unknown;
+    }>;
+}
+export type ChatCompletionReasoningEffort = Shared.ReasoningEffort | null;
+export type ChatCompletionCreateParams = ChatCompletionCreateParamsNonStreaming | ChatCompletionCreateParamsStreaming;
+export interface ChatCompletionCreateParamsBase {
+    /**
+     * A list of messages comprising the conversation so far. Depending on the
+     * [model](https://platform.openai.com/docs/models) you use, different message
+     * types (modalities) are supported, like
+     * [text](https://platform.openai.com/docs/guides/text-generation),
+     * [images](https://platform.openai.com/docs/guides/vision), and
+     * [audio](https://platform.openai.com/docs/guides/audio).
+     */
+    messages: Array<ChatCompletionMessageParam>;
+    /**
+     * Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a
+     * wide range of models with different capabilities, performance characteristics,
+     * and price points. Refer to the
+     * [model guide](https://platform.openai.com/docs/models) to browse and compare
+     * available models.
+     */
+    model: (string & {}) | Shared.ChatModel;
+    /**
+     * Parameters for audio output. Required when audio output is requested with
+     * `modalities: ["audio"]`.
+     * [Learn more](https://platform.openai.com/docs/guides/audio).
+     */
+    audio?: ChatCompletionAudioParam | null;
+    /**
+     * Number between -2.0 and 2.0. Positive values penalize new tokens based on their
+     * existing frequency in the text so far, decreasing the model's likelihood to
+     * repeat the same line verbatim.
+     */
+    frequency_penalty?: number | null;
+    /**
+     * @deprecated Deprecated in favor of `tool_choice`.
+     *
+     * Controls which (if any) function is called by the model.
+     *
+     * `none` means the model will not call a function and instead generates a message.
+     *
+     * `auto` means the model can pick between generating a message or calling a
+     * function.
+     *
+     * Specifying a particular function via `{"name": "my_function"}` forces the model
+     * to call that function.
+     *
+     * `none` is the default when no functions are present. `auto` is the default if
+     * functions are present.
+     */
+    function_call?: 'none' | 'auto' | ChatCompletionFunctionCallOption;
+    /**
+     * @deprecated Deprecated in favor of `tools`.
+     *
+     * A list of functions the model may generate JSON inputs for.
+     */
+    functions?: Array<ChatCompletionCreateParams.Function>;
+    /**
+     * Modify the likelihood of specified tokens appearing in the completion.
+     *
+     * Accepts a JSON object that maps tokens (specified by their token ID in the
+     * tokenizer) to an associated bias value from -100 to 100. Mathematically, the
+     * bias is added to the logits generated by the model prior to sampling. The exact
+     * effect will vary per model, but values between -1 and 1 should decrease or
+     * increase likelihood of selection; values like -100 or 100 should result in a ban
+     * or exclusive selection of the relevant token.
+     */
+    logit_bias?: {
+        [key: string]: number;
+    } | null;
+    /**
+     * Whether to return log probabilities of the output tokens or not. If true,
+     * returns the log probabilities of each output token returned in the `content` of
+     * `message`.
+     */
+    logprobs?: boolean | null;
+    /**
+     * An upper bound for the number of tokens that can be generated for a completion,
+     * including visible output tokens and
+     * [reasoning tokens](https://platform.openai.com/docs/guides/reasoning).
+     */
+    max_completion_tokens?: number | null;
+    /**
+     * @deprecated The maximum number of [tokens](/tokenizer) that can be generated in
+     * the chat completion. This value can be used to control
+     * [costs](https://openai.com/api/pricing/) for text generated via API.
+     *
+     * This value is now deprecated in favor of `max_completion_tokens`, and is not
+     * compatible with
+     * [o-series models](https://platform.openai.com/docs/guides/reasoning).
+     */
+    max_tokens?: number | 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;
+    /**
+     * Output types that you would like the model to generate. Most models are capable
+     * of generating text, which is the default:
+     *
+     * `["text"]`
+     *
+     * The `gpt-4o-audio-preview` model can also be used to
+     * [generate audio](https://platform.openai.com/docs/guides/audio). To request that
+     * this model generate both text and audio responses, you can use:
+     *
+     * `["text", "audio"]`
+     */
+    modalities?: Array<'text' | 'audio'> | null;
+    /**
+     * How many chat completion choices to generate for each input message. Note that
+     * you will be charged based on the number of generated tokens across all of the
+     * choices. Keep `n` as `1` to minimize costs.
+     */
+    n?: number | null;
+    /**
+     * Whether to enable
+     * [parallel function calling](https://platform.openai.com/docs/guides/function-calling#configuring-parallel-function-calling)
+     * during tool use.
+     */
+    parallel_tool_calls?: boolean;
+    /**
+     * Static predicted output content, such as the content of a text file that is
+     * being regenerated.
+     */
+    prediction?: ChatCompletionPredictionContent | null;
+    /**
+     * Number between -2.0 and 2.0. Positive values penalize new tokens based on
+     * whether they appear in the text so far, increasing the model's likelihood to
+     * talk about new topics.
+     */
+    presence_penalty?: number | null;
+    /**
+     * Used by OpenAI to cache responses for similar requests to optimize your cache
+     * hit rates. Replaces the `user` field.
+     * [Learn more](https://platform.openai.com/docs/guides/prompt-caching).
+     */
+    prompt_cache_key?: string;
+    /**
+     * Constrains effort on reasoning for
+     * [reasoning models](https://platform.openai.com/docs/guides/reasoning). Currently
+     * supported values are `minimal`, `low`, `medium`, and `high`. Reducing reasoning
+     * effort can result in faster responses and fewer tokens used on reasoning in a
+     * response.
+     */
+    reasoning_effort?: Shared.ReasoningEffort | null;
+    /**
+     * An object specifying the format that the model must output.
+     *
+     * Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+     * Outputs which ensures the model will match your supplied JSON schema. Learn more
+     * in the
+     * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+     *
+     * Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+     * ensures the message the model generates is valid JSON. Using `json_schema` is
+     * preferred for models that support it.
+     */
+    response_format?: Shared.ResponseFormatText | Shared.ResponseFormatJSONSchema | Shared.ResponseFormatJSONObject;
+    /**
+     * A stable identifier used to help detect users of your application that may be
+     * violating OpenAI's usage policies. The IDs should be a string that uniquely
+     * identifies each user. We recommend hashing their username or email address, in
+     * order to avoid sending us any identifying information.
+     * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
+     */
+    safety_identifier?: string;
+    /**
+     * @deprecated This feature is in Beta. If specified, our system will make a best
+     * effort to sample deterministically, such that repeated requests with the same
+     * `seed` and parameters should return the same result. Determinism is not
+     * guaranteed, and you should refer to the `system_fingerprint` response parameter
+     * to monitor changes in the backend.
+     */
+    seed?: number | null;
+    /**
+     * Specifies the processing type used for serving the request.
+     *
+     * - If set to 'auto', then the request will be processed with the service tier
+     *   configured in the Project settings. Unless otherwise configured, the Project
+     *   will use 'default'.
+     * - If set to 'default', then the request will be processed with the standard
+     *   pricing and performance for the selected model.
+     * - If set to '[flex](https://platform.openai.com/docs/guides/flex-processing)' or
+     *   '[priority](https://openai.com/api-priority-processing/)', then the request
+     *   will be processed with the corresponding service tier.
+     * - When not set, the default behavior is 'auto'.
+     *
+     * When the `service_tier` parameter is set, the response body will include the
+     * `service_tier` value based on the processing mode actually used to serve the
+     * request. This response value may be different from the value set in the
+     * parameter.
+     */
+    service_tier?: 'auto' | 'default' | 'flex' | 'scale' | 'priority' | null;
+    /**
+     * Not supported with latest reasoning models `o3` and `o4-mini`.
+     *
+     * Up to 4 sequences where the API will stop generating further tokens. The
+     * returned text will not contain the stop sequence.
+     */
+    stop?: string | null | Array<string>;
+    /**
+     * Whether or not to store the output of this chat completion request for use in
+     * our [model distillation](https://platform.openai.com/docs/guides/distillation)
+     * or [evals](https://platform.openai.com/docs/guides/evals) products.
+     *
+     * Supports text and image inputs. Note: image inputs over 8MB will be dropped.
+     */
+    store?: boolean | null;
+    /**
+     * If set to true, the model response data will be streamed to the client as it is
+     * generated using
+     * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+     * See the
+     * [Streaming section below](https://platform.openai.com/docs/api-reference/chat/streaming)
+     * for more information, along with the
+     * [streaming responses](https://platform.openai.com/docs/guides/streaming-responses)
+     * guide for more information on how to handle the streaming events.
+     */
+    stream?: boolean | null;
+    /**
+     * Options for streaming response. Only set this when you set `stream: true`.
+     */
+    stream_options?: ChatCompletionStreamOptions | null;
+    /**
+     * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
+     * make the output more random, while lower values like 0.2 will make it more
+     * focused and deterministic. We generally recommend altering this or `top_p` but
+     * not both.
+     */
+    temperature?: number | null;
+    /**
+     * Controls which (if any) tool is called by the model. `none` means the model will
+     * not call any tool and instead generates a message. `auto` means the model can
+     * pick between generating a message or calling one or more tools. `required` means
+     * the model must call one or more tools. Specifying a particular tool via
+     * `{"type": "function", "function": {"name": "my_function"}}` forces the model to
+     * call that tool.
+     *
+     * `none` is the default when no tools are present. `auto` is the default if tools
+     * are present.
+     */
+    tool_choice?: ChatCompletionToolChoiceOption;
+    /**
+     * A list of tools the model may call. You can provide either
+     * [custom tools](https://platform.openai.com/docs/guides/function-calling#custom-tools)
+     * or [function tools](https://platform.openai.com/docs/guides/function-calling).
+     */
+    tools?: Array<ChatCompletionTool>;
+    /**
+     * An integer between 0 and 20 specifying the number of most likely tokens to
+     * return at each token position, each with an associated log probability.
+     * `logprobs` must be set to `true` if this parameter is used.
+     */
+    top_logprobs?: number | null;
+    /**
+     * An alternative to sampling with temperature, called nucleus sampling, where the
+     * model considers the results of the tokens with top_p probability mass. So 0.1
+     * means only the tokens comprising the top 10% probability mass are considered.
+     *
+     * We generally recommend altering this or `temperature` but not both.
+     */
+    top_p?: number | null;
+    /**
+     * @deprecated This field is being replaced by `safety_identifier` and
+     * `prompt_cache_key`. Use `prompt_cache_key` instead to maintain caching
+     * optimizations. A stable identifier for your end-users. Used to boost cache hit
+     * rates by better bucketing similar requests and to help OpenAI detect and prevent
+     * abuse.
+     * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices#safety-identifiers).
+     */
+    user?: string;
+    /**
+     * Constrains the verbosity of the model's response. Lower values will result in
+     * more concise responses, while higher values will result in more verbose
+     * responses. Currently supported values are `low`, `medium`, and `high`.
+     */
+    verbosity?: 'low' | 'medium' | 'high' | null;
+    /**
+     * This tool searches the web for relevant results to use in a response. Learn more
+     * about the
+     * [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+     */
+    web_search_options?: ChatCompletionCreateParams.WebSearchOptions;
+}
+export declare namespace ChatCompletionCreateParams {
+    /**
+     * @deprecated
+     */
+    interface Function {
+        /**
+         * The name of the function to be called. Must be a-z, A-Z, 0-9, or contain
+         * underscores and dashes, with a maximum length of 64.
+         */
+        name: string;
+        /**
+         * A description of what the function does, used by the model to choose when and
+         * how to call the function.
+         */
+        description?: string;
+        /**
+         * The parameters the functions accepts, described as a JSON Schema object. See the
+         * [guide](https://platform.openai.com/docs/guides/function-calling) for examples,
+         * and the
+         * [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
+         * documentation about the format.
+         *
+         * Omitting `parameters` defines a function with an empty parameter list.
+         */
+        parameters?: Shared.FunctionParameters;
+    }
+    /**
+     * This tool searches the web for relevant results to use in a response. Learn more
+     * about the
+     * [web search tool](https://platform.openai.com/docs/guides/tools-web-search?api-mode=chat).
+     */
+    interface WebSearchOptions {
+        /**
+         * High level guidance for the amount of context window space to use for the
+         * search. One of `low`, `medium`, or `high`. `medium` is the default.
+         */
+        search_context_size?: 'low' | 'medium' | 'high';
+        /**
+         * Approximate location parameters for the search.
+         */
+        user_location?: WebSearchOptions.UserLocation | null;
+    }
+    namespace WebSearchOptions {
+        /**
+         * Approximate location parameters for the search.
+         */
+        interface UserLocation {
+            /**
+             * Approximate location parameters for the search.
+             */
+            approximate: UserLocation.Approximate;
+            /**
+             * The type of location approximation. Always `approximate`.
+             */
+            type: 'approximate';
+        }
+        namespace UserLocation {
+            /**
+             * Approximate location parameters for the search.
+             */
+            interface Approximate {
+                /**
+                 * Free text input for the city of the user, e.g. `San Francisco`.
+                 */
+                city?: string;
+                /**
+                 * The two-letter [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of
+                 * the user, e.g. `US`.
+                 */
+                country?: string;
+                /**
+                 * Free text input for the region of the user, e.g. `California`.
+                 */
+                region?: string;
+                /**
+                 * The [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the
+                 * user, e.g. `America/Los_Angeles`.
+                 */
+                timezone?: string;
+            }
+        }
+    }
+    type ChatCompletionCreateParamsNonStreaming = CompletionsCompletionsAPI.ChatCompletionCreateParamsNonStreaming;
+    type ChatCompletionCreateParamsStreaming = CompletionsCompletionsAPI.ChatCompletionCreateParamsStreaming;
+}
+export interface ChatCompletionCreateParamsNonStreaming extends ChatCompletionCreateParamsBase {
+    /**
+     * If set to true, the model response data will be streamed to the client as it is
+     * generated using
+     * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+     * See the
+     * [Streaming section below](https://platform.openai.com/docs/api-reference/chat/streaming)
+     * for more information, along with the
+     * [streaming responses](https://platform.openai.com/docs/guides/streaming-responses)
+     * guide for more information on how to handle the streaming events.
+     */
+    stream?: false | null;
+}
+export interface ChatCompletionCreateParamsStreaming extends ChatCompletionCreateParamsBase {
+    /**
+     * If set to true, the model response data will be streamed to the client as it is
+     * generated using
+     * [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+     * See the
+     * [Streaming section below](https://platform.openai.com/docs/api-reference/chat/streaming)
+     * for more information, along with the
+     * [streaming responses](https://platform.openai.com/docs/guides/streaming-responses)
+     * guide for more information on how to handle the streaming events.
+     */
+    stream: true;
+}
+export interface ChatCompletionUpdateParams {
+    /**
+     * 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 ChatCompletionListParams extends CursorPageParams {
+    /**
+     * A list of metadata keys to filter the Chat Completions by. Example:
+     *
+     * `metadata[key1]=value1&metadata[key2]=value2`
+     */
+    metadata?: Shared.Metadata | null;
+    /**
+     * The model used to generate the Chat Completions.
+     */
+    model?: string;
+    /**
+     * Sort order for Chat Completions by timestamp. Use `asc` for ascending order or
+     * `desc` for descending order. Defaults to `asc`.
+     */
+    order?: 'asc' | 'desc';
+}
+export declare namespace Completions {
+    export { type ChatCompletion as ChatCompletion, type ChatCompletionAllowedToolChoice as ChatCompletionAllowedToolChoice, type ChatCompletionAssistantMessageParam as ChatCompletionAssistantMessageParam, type ChatCompletionAudio as ChatCompletionAudio, type ChatCompletionAudioParam as ChatCompletionAudioParam, type ChatCompletionChunk as ChatCompletionChunk, type ChatCompletionContentPart as ChatCompletionContentPart, type ChatCompletionContentPartImage as ChatCompletionContentPartImage, type ChatCompletionContentPartInputAudio as ChatCompletionContentPartInputAudio, type ChatCompletionContentPartRefusal as ChatCompletionContentPartRefusal, type ChatCompletionContentPartText as ChatCompletionContentPartText, type ChatCompletionCustomTool as ChatCompletionCustomTool, type ChatCompletionDeleted as ChatCompletionDeleted, type ChatCompletionDeveloperMessageParam as ChatCompletionDeveloperMessageParam, type ChatCompletionFunctionCallOption as ChatCompletionFunctionCallOption, type ChatCompletionFunctionMessageParam as ChatCompletionFunctionMessageParam, type ChatCompletionFunctionTool as ChatCompletionFunctionTool, type ChatCompletionMessage as ChatCompletionMessage, type ChatCompletionMessageCustomToolCall as ChatCompletionMessageCustomToolCall, type ChatCompletionMessageFunctionToolCall as ChatCompletionMessageFunctionToolCall, type ChatCompletionMessageParam as ChatCompletionMessageParam, type ChatCompletionMessageToolCall as ChatCompletionMessageToolCall, type ChatCompletionModality as ChatCompletionModality, type ChatCompletionNamedToolChoice as ChatCompletionNamedToolChoice, type ChatCompletionNamedToolChoiceCustom as ChatCompletionNamedToolChoiceCustom, type ChatCompletionPredictionContent as ChatCompletionPredictionContent, type ChatCompletionRole as ChatCompletionRole, type ChatCompletionStoreMessage as ChatCompletionStoreMessage, type ChatCompletionStreamOptions as ChatCompletionStreamOptions, type ChatCompletionSystemMessageParam as ChatCompletionSystemMessageParam, type ChatCompletionTokenLogprob as ChatCompletionTokenLogprob, type ChatCompletionTool as ChatCompletionTool, type ChatCompletionToolChoiceOption as ChatCompletionToolChoiceOption, type ChatCompletionToolMessageParam as ChatCompletionToolMessageParam, type ChatCompletionUserMessageParam as ChatCompletionUserMessageParam, type ChatCompletionAllowedTools as ChatCompletionAllowedTools, type ChatCompletionReasoningEffort as ChatCompletionReasoningEffort, type ChatCompletionsPage as ChatCompletionsPage, type ChatCompletionCreateParams as ChatCompletionCreateParams, type ChatCompletionCreateParamsNonStreaming as ChatCompletionCreateParamsNonStreaming, type ChatCompletionCreateParamsStreaming as ChatCompletionCreateParamsStreaming, type ChatCompletionUpdateParams as ChatCompletionUpdateParams, type ChatCompletionListParams as ChatCompletionListParams, };
+    export { Messages as Messages, type MessageListParams as MessageListParams };
+}
+//# sourceMappingURL=completions.d.ts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/chat/completions/index.d.ts.map

@@ -0,0 +1 @@
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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/chat/completions/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.Messages = exports.Completions = void 0;
+const tslib_1 = require("../../../internal/tslib.js");
+var completions_1 = require("./completions.js");
+Object.defineProperty(exports, "Completions", { enumerable: true, get: function () { return completions_1.Completions; } });
+tslib_1.__exportStar(require("./completions.js"), exports);
+var messages_1 = require("./messages.js");
+Object.defineProperty(exports, "Messages", { enumerable: true, get: function () { return messages_1.Messages; } });
+//# sourceMappingURL=index.js.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/chat/completions/messages.d.ts

@@ -0,0 +1,34 @@
+import { APIResource } from "../../../core/resource.js";
+import * as CompletionsAPI from "./completions.js";
+import { ChatCompletionStoreMessagesPage } from "./completions.js";
+import { type CursorPageParams, PagePromise } from "../../../core/pagination.js";
+import { RequestOptions } from "../../../internal/request-options.js";
+export declare class Messages extends APIResource {
+    /**
+     * Get the messages in a stored chat completion. Only Chat Completions that have
+     * been created with the `store` parameter set to `true` will be returned.
+     *
+     * @example
+     * ```ts
+     * // Automatically fetches more pages as needed.
+     * for await (const chatCompletionStoreMessage of client.chat.completions.messages.list(
+     *   'completion_id',
+     * )) {
+     *   // ...
+     * }
+     * ```
+     */
+    list(completionID: string, query?: MessageListParams | null | undefined, options?: RequestOptions): PagePromise<ChatCompletionStoreMessagesPage, CompletionsAPI.ChatCompletionStoreMessage>;
+}
+export interface MessageListParams extends CursorPageParams {
+    /**
+     * Sort order for messages by timestamp. Use `asc` for ascending order or `desc`
+     * for descending order. Defaults to `asc`.
+     */
+    order?: 'asc' | 'desc';
+}
+export declare namespace Messages {
+    export { type MessageListParams as MessageListParams };
+}
+export { type ChatCompletionStoreMessagesPage };
+//# sourceMappingURL=messages.d.ts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/chat/completions/messages.d.ts.map

@@ -0,0 +1 @@
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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/chat/completions/messages.js.map

@@ -0,0 +1 @@
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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/content.d.ts.map

@@ -0,0 +1 @@
+{"version":3,"file":"content.d.ts","sourceRoot":"","sources":["../../../src/resources/containers/files/content.ts"],"names":[],"mappings":"OAEO,EAAE,WAAW,EAAE;OACf,EAAE,UAAU,EAAE;OAEd,EAAE,cAAc,EAAE;AAGzB,qBAAa,OAAQ,SAAQ,WAAW;IACtC;;OAEG;IACH,QAAQ,CAAC,MAAM,EAAE,MAAM,EAAE,MAAM,EAAE,qBAAqB,EAAE,OAAO,CAAC,EAAE,cAAc,GAAG,UAAU,CAAC,QAAQ,CAAC;CAQxG;AAED,MAAM,WAAW,qBAAqB;IACpC,YAAY,EAAE,MAAM,CAAC;CACtB;AAED,MAAM,CAAC,OAAO,WAAW,OAAO,CAAC;IAC/B,OAAO,EAAE,KAAK,qBAAqB,IAAI,qBAAqB,EAAE,CAAC;CAChE"}

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/content.js

@@ -0,0 +1,22 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Content = void 0;
+const resource_1 = require("../../../core/resource.js");
+const headers_1 = require("../../../internal/headers.js");
+const path_1 = require("../../../internal/utils/path.js");
+class Content extends resource_1.APIResource {
+    /**
+     * Retrieve Container File Content
+     */
+    retrieve(fileID, params, options) {
+        const { container_id } = params;
+        return this._client.get((0, path_1.path) `/containers/${container_id}/files/${fileID}/content`, {
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ Accept: 'application/binary' }, options?.headers]),
+            __binaryResponse: true,
+        });
+    }
+}
+exports.Content = Content;
+//# sourceMappingURL=content.js.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/files.d.mts.map

@@ -0,0 +1 @@
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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/files.d.ts

@@ -0,0 +1,148 @@
+import { APIResource } from "../../../core/resource.js";
+import * as ContentAPI from "./content.js";
+import { Content, ContentRetrieveParams } from "./content.js";
+import { APIPromise } from "../../../core/api-promise.js";
+import { CursorPage, type CursorPageParams, PagePromise } from "../../../core/pagination.js";
+import { type Uploadable } from "../../../core/uploads.js";
+import { RequestOptions } from "../../../internal/request-options.js";
+export declare class Files extends APIResource {
+    content: ContentAPI.Content;
+    /**
+     * Create a Container File
+     *
+     * You can send either a multipart/form-data request with the raw file content, or
+     * a JSON request with a file ID.
+     */
+    create(containerID: string, body: FileCreateParams, options?: RequestOptions): APIPromise<FileCreateResponse>;
+    /**
+     * Retrieve Container File
+     */
+    retrieve(fileID: string, params: FileRetrieveParams, options?: RequestOptions): APIPromise<FileRetrieveResponse>;
+    /**
+     * List Container files
+     */
+    list(containerID: string, query?: FileListParams | null | undefined, options?: RequestOptions): PagePromise<FileListResponsesPage, FileListResponse>;
+    /**
+     * Delete Container File
+     */
+    delete(fileID: string, params: FileDeleteParams, options?: RequestOptions): APIPromise<void>;
+}
+export type FileListResponsesPage = CursorPage<FileListResponse>;
+export interface FileCreateResponse {
+    /**
+     * Unique identifier for the file.
+     */
+    id: string;
+    /**
+     * Size of the file in bytes.
+     */
+    bytes: number;
+    /**
+     * The container this file belongs to.
+     */
+    container_id: string;
+    /**
+     * Unix timestamp (in seconds) when the file was created.
+     */
+    created_at: number;
+    /**
+     * The type of this object (`container.file`).
+     */
+    object: 'container.file';
+    /**
+     * Path of the file in the container.
+     */
+    path: string;
+    /**
+     * Source of the file (e.g., `user`, `assistant`).
+     */
+    source: string;
+}
+export interface FileRetrieveResponse {
+    /**
+     * Unique identifier for the file.
+     */
+    id: string;
+    /**
+     * Size of the file in bytes.
+     */
+    bytes: number;
+    /**
+     * The container this file belongs to.
+     */
+    container_id: string;
+    /**
+     * Unix timestamp (in seconds) when the file was created.
+     */
+    created_at: number;
+    /**
+     * The type of this object (`container.file`).
+     */
+    object: 'container.file';
+    /**
+     * Path of the file in the container.
+     */
+    path: string;
+    /**
+     * Source of the file (e.g., `user`, `assistant`).
+     */
+    source: string;
+}
+export interface FileListResponse {
+    /**
+     * Unique identifier for the file.
+     */
+    id: string;
+    /**
+     * Size of the file in bytes.
+     */
+    bytes: number;
+    /**
+     * The container this file belongs to.
+     */
+    container_id: string;
+    /**
+     * Unix timestamp (in seconds) when the file was created.
+     */
+    created_at: number;
+    /**
+     * The type of this object (`container.file`).
+     */
+    object: 'container.file';
+    /**
+     * Path of the file in the container.
+     */
+    path: string;
+    /**
+     * Source of the file (e.g., `user`, `assistant`).
+     */
+    source: string;
+}
+export interface FileCreateParams {
+    /**
+     * The File object (not file name) to be uploaded.
+     */
+    file?: Uploadable;
+    /**
+     * Name of the file to create.
+     */
+    file_id?: string;
+}
+export interface FileRetrieveParams {
+    container_id: string;
+}
+export interface FileListParams extends CursorPageParams {
+    /**
+     * Sort order by the `created_at` timestamp of the objects. `asc` for ascending
+     * order and `desc` for descending order.
+     */
+    order?: 'asc' | 'desc';
+}
+export interface FileDeleteParams {
+    container_id: string;
+}
+export declare namespace Files {
+    export { type FileCreateResponse as FileCreateResponse, type FileRetrieveResponse as FileRetrieveResponse, type FileListResponse as FileListResponse, type FileListResponsesPage as FileListResponsesPage, type FileCreateParams as FileCreateParams, type FileRetrieveParams as FileRetrieveParams, type FileListParams as FileListParams, type FileDeleteParams as FileDeleteParams, };
+    export { Content as Content, type ContentRetrieveParams as ContentRetrieveParams };
+}
+//# sourceMappingURL=files.d.ts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/files.d.ts.map

@@ -0,0 +1 @@
+{"version":3,"file":"files.d.ts","sourceRoot":"","sources":["../../../src/resources/containers/files/files.ts"],"names":[],"mappings":"OAEO,EAAE,WAAW,EAAE;OACf,KAAK,UAAU;OACf,EAAE,OAAO,EAAE,qBAAqB,EAAE;OAClC,EAAE,UAAU,EAAE;OACd,EAAE,UAAU,EAAE,KAAK,gBAAgB,EAAE,WAAW,EAAE;OAClD,EAAE,KAAK,UAAU,EAAE;OAEnB,EAAE,cAAc,EAAE;AAIzB,qBAAa,KAAM,SAAQ,WAAW;IACpC,OAAO,EAAE,UAAU,CAAC,OAAO,CAAwC;IAEnE;;;;;OAKG;IACH,MAAM,CACJ,WAAW,EAAE,MAAM,EACnB,IAAI,EAAE,gBAAgB,EACtB,OAAO,CAAC,EAAE,cAAc,GACvB,UAAU,CAAC,kBAAkB,CAAC;IAOjC;;OAEG;IACH,QAAQ,CACN,MAAM,EAAE,MAAM,EACd,MAAM,EAAE,kBAAkB,EAC1B,OAAO,CAAC,EAAE,cAAc,GACvB,UAAU,CAAC,oBAAoB,CAAC;IAKnC;;OAEG;IACH,IAAI,CACF,WAAW,EAAE,MAAM,EACnB,KAAK,GAAE,cAAc,GAAG,IAAI,GAAG,SAAc,EAC7C,OAAO,CAAC,EAAE,cAAc,GACvB,WAAW,CAAC,qBAAqB,EAAE,gBAAgB,CAAC;IAOvD;;OAEG;IACH,MAAM,CAAC,MAAM,EAAE,MAAM,EAAE,MAAM,EAAE,gBAAgB,EAAE,OAAO,CAAC,EAAE,cAAc,GAAG,UAAU,CAAC,IAAI,CAAC;CAO7F;AAED,MAAM,MAAM,qBAAqB,GAAG,UAAU,CAAC,gBAAgB,CAAC,CAAC;AAEjE,MAAM,WAAW,kBAAkB;IACjC;;OAEG;IACH,EAAE,EAAE,MAAM,CAAC;IAEX;;OAEG;IACH,KAAK,EAAE,MAAM,CAAC;IAEd;;OAEG;IACH,YAAY,EAAE,MAAM,CAAC;IAErB;;OAEG;IACH,UAAU,EAAE,MAAM,CAAC;IAEnB;;OAEG;IACH,MAAM,EAAE,gBAAgB,CAAC;IAEzB;;OAEG;IACH,IAAI,EAAE,MAAM,CAAC;IAEb;;OAEG;IACH,MAAM,EAAE,MAAM,CAAC;CAChB;AAED,MAAM,WAAW,oBAAoB;IACnC;;OAEG;IACH,EAAE,EAAE,MAAM,CAAC;IAEX;;OAEG;IACH,KAAK,EAAE,MAAM,CAAC;IAEd;;OAEG;IACH,YAAY,EAAE,MAAM,CAAC;IAErB;;OAEG;IACH,UAAU,EAAE,MAAM,CAAC;IAEnB;;OAEG;IACH,MAAM,EAAE,gBAAgB,CAAC;IAEzB;;OAEG;IACH,IAAI,EAAE,MAAM,CAAC;IAEb;;OAEG;IACH,MAAM,EAAE,MAAM,CAAC;CAChB;AAED,MAAM,WAAW,gBAAgB;IAC/B;;OAEG;IACH,EAAE,EAAE,MAAM,CAAC;IAEX;;OAEG;IACH,KAAK,EAAE,MAAM,CAAC;IAEd;;OAEG;IACH,YAAY,EAAE,MAAM,CAAC;IAErB;;OAEG;IACH,UAAU,EAAE,MAAM,CAAC;IAEnB;;OAEG;IACH,MAAM,EAAE,gBAAgB,CAAC;IAEzB;;OAEG;IACH,IAAI,EAAE,MAAM,CAAC;IAEb;;OAEG;IACH,MAAM,EAAE,MAAM,CAAC;CAChB;AAED,MAAM,WAAW,gBAAgB;IAC/B;;OAEG;IACH,IAAI,CAAC,EAAE,UAAU,CAAC;IAElB;;OAEG;IACH,OAAO,CAAC,EAAE,MAAM,CAAC;CAClB;AAED,MAAM,WAAW,kBAAkB;IACjC,YAAY,EAAE,MAAM,CAAC;CACtB;AAED,MAAM,WAAW,cAAe,SAAQ,gBAAgB;IACtD;;;OAGG;IACH,KAAK,CAAC,EAAE,KAAK,GAAG,MAAM,CAAC;CACxB;AAED,MAAM,WAAW,gBAAgB;IAC/B,YAAY,EAAE,MAAM,CAAC;CACtB;AAID,MAAM,CAAC,OAAO,WAAW,KAAK,CAAC;IAC7B,OAAO,EACL,KAAK,kBAAkB,IAAI,kBAAkB,EAC7C,KAAK,oBAAoB,IAAI,oBAAoB,EACjD,KAAK,gBAAgB,IAAI,gBAAgB,EACzC,KAAK,qBAAqB,IAAI,qBAAqB,EACnD,KAAK,gBAAgB,IAAI,gBAAgB,EACzC,KAAK,kBAAkB,IAAI,kBAAkB,EAC7C,KAAK,cAAc,IAAI,cAAc,EACrC,KAAK,gBAAgB,IAAI,gBAAgB,GAC1C,CAAC;IAEF,OAAO,EAAE,OAAO,IAAI,OAAO,EAAE,KAAK,qBAAqB,IAAI,qBAAqB,EAAE,CAAC;CACpF"}

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/files.js

@@ -0,0 +1,56 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Files = void 0;
+const tslib_1 = require("../../../internal/tslib.js");
+const resource_1 = require("../../../core/resource.js");
+const ContentAPI = tslib_1.__importStar(require("./content.js"));
+const content_1 = require("./content.js");
+const pagination_1 = require("../../../core/pagination.js");
+const headers_1 = require("../../../internal/headers.js");
+const uploads_1 = require("../../../internal/uploads.js");
+const path_1 = require("../../../internal/utils/path.js");
+class Files extends resource_1.APIResource {
+    constructor() {
+        super(...arguments);
+        this.content = new ContentAPI.Content(this._client);
+    }
+    /**
+     * Create a Container File
+     *
+     * You can send either a multipart/form-data request with the raw file content, or
+     * a JSON request with a file ID.
+     */
+    create(containerID, body, options) {
+        return this._client.post((0, path_1.path) `/containers/${containerID}/files`, (0, uploads_1.multipartFormRequestOptions)({ body, ...options }, this._client));
+    }
+    /**
+     * Retrieve Container File
+     */
+    retrieve(fileID, params, options) {
+        const { container_id } = params;
+        return this._client.get((0, path_1.path) `/containers/${container_id}/files/${fileID}`, options);
+    }
+    /**
+     * List Container files
+     */
+    list(containerID, query = {}, options) {
+        return this._client.getAPIList((0, path_1.path) `/containers/${containerID}/files`, (pagination_1.CursorPage), {
+            query,
+            ...options,
+        });
+    }
+    /**
+     * Delete Container File
+     */
+    delete(fileID, params, options) {
+        const { container_id } = params;
+        return this._client.delete((0, path_1.path) `/containers/${container_id}/files/${fileID}`, {
+            ...options,
+            headers: (0, headers_1.buildHeaders)([{ Accept: '*/*' }, options?.headers]),
+        });
+    }
+}
+exports.Files = Files;
+Files.Content = content_1.Content;
+//# sourceMappingURL=files.js.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/files.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"files.js","sourceRoot":"","sources":["../../../src/resources/containers/files/files.ts"],"names":[],"mappings":";AAAA,sFAAsF;;;;AAEtF,wDAAqD;AACrD,iEAAwC;AACxC,0CAA2D;AAE3D,4DAA0F;AAE1F,0DAAyD;AAEzD,0DAAwE;AACxE,0DAAoD;AAEpD,MAAa,KAAM,SAAQ,sBAAW;IAAtC;;QACE,YAAO,GAAuB,IAAI,UAAU,CAAC,OAAO,CAAC,IAAI,CAAC,OAAO,CAAC,CAAC;IAuDrE,CAAC;IArDC;;;;;OAKG;IACH,MAAM,CACJ,WAAmB,EACnB,IAAsB,EACtB,OAAwB;QAExB,OAAO,IAAI,CAAC,OAAO,CAAC,IAAI,CACtB,IAAA,WAAI,EAAA,eAAe,WAAW,QAAQ,EACtC,IAAA,qCAA2B,EAAC,EAAE,IAAI,EAAE,GAAG,OAAO,EAAE,EAAE,IAAI,CAAC,OAAO,CAAC,CAChE,CAAC;IACJ,CAAC;IAED;;OAEG;IACH,QAAQ,CACN,MAAc,EACd,MAA0B,EAC1B,OAAwB;QAExB,MAAM,EAAE,YAAY,EAAE,GAAG,MAAM,CAAC;QAChC,OAAO,IAAI,CAAC,OAAO,CAAC,GAAG,CAAC,IAAA,WAAI,EAAA,eAAe,YAAY,UAAU,MAAM,EAAE,EAAE,OAAO,CAAC,CAAC;IACtF,CAAC;IAED;;OAEG;IACH,IAAI,CACF,WAAmB,EACnB,QAA2C,EAAE,EAC7C,OAAwB;QAExB,OAAO,IAAI,CAAC,OAAO,CAAC,UAAU,CAAC,IAAA,WAAI,EAAA,eAAe,WAAW,QAAQ,EAAE,CAAA,uBAA4B,CAAA,EAAE;YACnG,KAAK;YACL,GAAG,OAAO;SACX,CAAC,CAAC;IACL,CAAC;IAED;;OAEG;IACH,MAAM,CAAC,MAAc,EAAE,MAAwB,EAAE,OAAwB;QACvE,MAAM,EAAE,YAAY,EAAE,GAAG,MAAM,CAAC;QAChC,OAAO,IAAI,CAAC,OAAO,CAAC,MAAM,CAAC,IAAA,WAAI,EAAA,eAAe,YAAY,UAAU,MAAM,EAAE,EAAE;YAC5E,GAAG,OAAO;YACV,OAAO,EAAE,IAAA,sBAAY,EAAC,CAAC,EAAE,MAAM,EAAE,KAAK,EAAE,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC;SAC7D,CAAC,CAAC;IACL,CAAC;CACF;AAxDD,sBAwDC;AA+ID,KAAK,CAAC,OAAO,GAAG,iBAAO,CAAC"}

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/files.mjs

@@ -0,0 +1,51 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+import { APIResource } from "../../../core/resource.mjs";
+import * as ContentAPI from "./content.mjs";
+import { Content } from "./content.mjs";
+import { CursorPage } from "../../../core/pagination.mjs";
+import { buildHeaders } from "../../../internal/headers.mjs";
+import { multipartFormRequestOptions } from "../../../internal/uploads.mjs";
+import { path } from "../../../internal/utils/path.mjs";
+export class Files extends APIResource {
+    constructor() {
+        super(...arguments);
+        this.content = new ContentAPI.Content(this._client);
+    }
+    /**
+     * Create a Container File
+     *
+     * You can send either a multipart/form-data request with the raw file content, or
+     * a JSON request with a file ID.
+     */
+    create(containerID, body, options) {
+        return this._client.post(path `/containers/${containerID}/files`, multipartFormRequestOptions({ body, ...options }, this._client));
+    }
+    /**
+     * Retrieve Container File
+     */
+    retrieve(fileID, params, options) {
+        const { container_id } = params;
+        return this._client.get(path `/containers/${container_id}/files/${fileID}`, options);
+    }
+    /**
+     * List Container files
+     */
+    list(containerID, query = {}, options) {
+        return this._client.getAPIList(path `/containers/${containerID}/files`, (CursorPage), {
+            query,
+            ...options,
+        });
+    }
+    /**
+     * Delete Container File
+     */
+    delete(fileID, params, options) {
+        const { container_id } = params;
+        return this._client.delete(path `/containers/${container_id}/files/${fileID}`, {
+            ...options,
+            headers: buildHeaders([{ Accept: '*/*' }, options?.headers]),
+        });
+    }
+}
+Files.Content = Content;
+//# sourceMappingURL=files.mjs.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/files.mjs.map

@@ -0,0 +1 @@
+{"version":3,"file":"files.mjs","sourceRoot":"","sources":["../../../src/resources/containers/files/files.ts"],"names":[],"mappings":"AAAA,sFAAsF;OAE/E,EAAE,WAAW,EAAE;OACf,KAAK,UAAU;OACf,EAAE,OAAO,EAAyB;OAElC,EAAE,UAAU,EAAsC;OAElD,EAAE,YAAY,EAAE;OAEhB,EAAE,2BAA2B,EAAE;OAC/B,EAAE,IAAI,EAAE;AAEf,MAAM,OAAO,KAAM,SAAQ,WAAW;IAAtC;;QACE,YAAO,GAAuB,IAAI,UAAU,CAAC,OAAO,CAAC,IAAI,CAAC,OAAO,CAAC,CAAC;IAuDrE,CAAC;IArDC;;;;;OAKG;IACH,MAAM,CACJ,WAAmB,EACnB,IAAsB,EACtB,OAAwB;QAExB,OAAO,IAAI,CAAC,OAAO,CAAC,IAAI,CACtB,IAAI,CAAA,eAAe,WAAW,QAAQ,EACtC,2BAA2B,CAAC,EAAE,IAAI,EAAE,GAAG,OAAO,EAAE,EAAE,IAAI,CAAC,OAAO,CAAC,CAChE,CAAC;IACJ,CAAC;IAED;;OAEG;IACH,QAAQ,CACN,MAAc,EACd,MAA0B,EAC1B,OAAwB;QAExB,MAAM,EAAE,YAAY,EAAE,GAAG,MAAM,CAAC;QAChC,OAAO,IAAI,CAAC,OAAO,CAAC,GAAG,CAAC,IAAI,CAAA,eAAe,YAAY,UAAU,MAAM,EAAE,EAAE,OAAO,CAAC,CAAC;IACtF,CAAC;IAED;;OAEG;IACH,IAAI,CACF,WAAmB,EACnB,QAA2C,EAAE,EAC7C,OAAwB;QAExB,OAAO,IAAI,CAAC,OAAO,CAAC,UAAU,CAAC,IAAI,CAAA,eAAe,WAAW,QAAQ,EAAE,CAAA,UAA4B,CAAA,EAAE;YACnG,KAAK;YACL,GAAG,OAAO;SACX,CAAC,CAAC;IACL,CAAC;IAED;;OAEG;IACH,MAAM,CAAC,MAAc,EAAE,MAAwB,EAAE,OAAwB;QACvE,MAAM,EAAE,YAAY,EAAE,GAAG,MAAM,CAAC;QAChC,OAAO,IAAI,CAAC,OAAO,CAAC,MAAM,CAAC,IAAI,CAAA,eAAe,YAAY,UAAU,MAAM,EAAE,EAAE;YAC5E,GAAG,OAAO;YACV,OAAO,EAAE,YAAY,CAAC,CAAC,EAAE,MAAM,EAAE,KAAK,EAAE,EAAE,OAAO,EAAE,OAAO,CAAC,CAAC;SAC7D,CAAC,CAAC;IACL,CAAC;CACF;AA+ID,KAAK,CAAC,OAAO,GAAG,OAAO,CAAC"}

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/index.d.mts

@@ -0,0 +1,3 @@
+export { Content, type ContentRetrieveParams } from "./content.mjs";
+export { Files, type FileCreateResponse, type FileRetrieveResponse, type FileListResponse, type FileCreateParams, type FileRetrieveParams, type FileListParams, type FileDeleteParams, type FileListResponsesPage, } from "./files.mjs";
+//# sourceMappingURL=index.d.mts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/index.d.mts.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.d.mts","sourceRoot":"","sources":["../../../src/resources/containers/files/index.ts"],"names":[],"mappings":"OAEO,EAAE,OAAO,EAAE,KAAK,qBAAqB,EAAE;OACvC,EACL,KAAK,EACL,KAAK,kBAAkB,EACvB,KAAK,oBAAoB,EACzB,KAAK,gBAAgB,EACrB,KAAK,gBAAgB,EACrB,KAAK,kBAAkB,EACvB,KAAK,cAAc,EACnB,KAAK,gBAAgB,EACrB,KAAK,qBAAqB,GAC3B"}

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/index.d.ts

@@ -0,0 +1,3 @@
+export { Content, type ContentRetrieveParams } from "./content.js";
+export { Files, type FileCreateResponse, type FileRetrieveResponse, type FileListResponse, type FileCreateParams, type FileRetrieveParams, type FileListParams, type FileDeleteParams, type FileListResponsesPage, } from "./files.js";
+//# sourceMappingURL=index.d.ts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/index.d.ts.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../../../src/resources/containers/files/index.ts"],"names":[],"mappings":"OAEO,EAAE,OAAO,EAAE,KAAK,qBAAqB,EAAE;OACvC,EACL,KAAK,EACL,KAAK,kBAAkB,EACvB,KAAK,oBAAoB,EACzB,KAAK,gBAAgB,EACrB,KAAK,gBAAgB,EACrB,KAAK,kBAAkB,EACvB,KAAK,cAAc,EACnB,KAAK,gBAAgB,EACrB,KAAK,qBAAqB,GAC3B"}

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/index.js

@@ -0,0 +1,9 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Files = exports.Content = void 0;
+var content_1 = require("./content.js");
+Object.defineProperty(exports, "Content", { enumerable: true, get: function () { return content_1.Content; } });
+var files_1 = require("./files.js");
+Object.defineProperty(exports, "Files", { enumerable: true, get: function () { return files_1.Files; } });
+//# sourceMappingURL=index.js.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/index.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/resources/containers/files/index.ts"],"names":[],"mappings":";AAAA,sFAAsF;;;AAEtF,wCAAgE;AAAvD,kGAAA,OAAO,OAAA;AAChB,oCAUiB;AATf,8FAAA,KAAK,OAAA"}

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/index.mjs

@@ -0,0 +1,4 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+export { Content } from "./content.mjs";
+export { Files, } from "./files.mjs";
+//# sourceMappingURL=index.mjs.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/containers/files/index.mjs.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.mjs","sourceRoot":"","sources":["../../../src/resources/containers/files/index.ts"],"names":[],"mappings":"AAAA,sFAAsF;OAE/E,EAAE,OAAO,EAA8B;OACvC,EACL,KAAK,GASN"}

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/index.d.ts

@@ -0,0 +1,3 @@
+export { Evals, type EvalCustomDataSourceConfig, type EvalStoredCompletionsDataSourceConfig, type EvalCreateResponse, type EvalRetrieveResponse, type EvalUpdateResponse, type EvalListResponse, type EvalDeleteResponse, type EvalCreateParams, type EvalUpdateParams, type EvalListParams, type EvalListResponsesPage, } from "./evals.js";
+export { Runs, type CreateEvalCompletionsRunDataSource, type CreateEvalJSONLRunDataSource, type EvalAPIError, type RunCreateResponse, type RunRetrieveResponse, type RunListResponse, type RunDeleteResponse, type RunCancelResponse, type RunCreateParams, type RunRetrieveParams, type RunListParams, type RunDeleteParams, type RunCancelParams, type RunListResponsesPage, } from "./runs/index.js";
+//# sourceMappingURL=index.d.ts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs.d.ts.map

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

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/index.d.mts.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.d.mts","sourceRoot":"","sources":["../../../src/resources/evals/runs/index.ts"],"names":[],"mappings":"OAEO,EACL,WAAW,EACX,KAAK,0BAA0B,EAC/B,KAAK,sBAAsB,EAC3B,KAAK,wBAAwB,EAC7B,KAAK,oBAAoB,EACzB,KAAK,2BAA2B,GACjC;OACM,EACL,IAAI,EACJ,KAAK,kCAAkC,EACvC,KAAK,4BAA4B,EACjC,KAAK,YAAY,EACjB,KAAK,iBAAiB,EACtB,KAAK,mBAAmB,EACxB,KAAK,eAAe,EACpB,KAAK,iBAAiB,EACtB,KAAK,iBAAiB,EACtB,KAAK,eAAe,EACpB,KAAK,iBAAiB,EACtB,KAAK,aAAa,EAClB,KAAK,eAAe,EACpB,KAAK,eAAe,EACpB,KAAK,oBAAoB,GAC1B"}

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/index.d.ts

@@ -0,0 +1,3 @@
+export { OutputItems, type OutputItemRetrieveResponse, type OutputItemListResponse, type OutputItemRetrieveParams, type OutputItemListParams, type OutputItemListResponsesPage, } from "./output-items.js";
+export { Runs, type CreateEvalCompletionsRunDataSource, type CreateEvalJSONLRunDataSource, type EvalAPIError, type RunCreateResponse, type RunRetrieveResponse, type RunListResponse, type RunDeleteResponse, type RunCancelResponse, type RunCreateParams, type RunRetrieveParams, type RunListParams, type RunDeleteParams, type RunCancelParams, type RunListResponsesPage, } from "./runs.js";
+//# sourceMappingURL=index.d.ts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/index.d.ts.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.d.ts","sourceRoot":"","sources":["../../../src/resources/evals/runs/index.ts"],"names":[],"mappings":"OAEO,EACL,WAAW,EACX,KAAK,0BAA0B,EAC/B,KAAK,sBAAsB,EAC3B,KAAK,wBAAwB,EAC7B,KAAK,oBAAoB,EACzB,KAAK,2BAA2B,GACjC;OACM,EACL,IAAI,EACJ,KAAK,kCAAkC,EACvC,KAAK,4BAA4B,EACjC,KAAK,YAAY,EACjB,KAAK,iBAAiB,EACtB,KAAK,mBAAmB,EACxB,KAAK,eAAe,EACpB,KAAK,iBAAiB,EACtB,KAAK,iBAAiB,EACtB,KAAK,eAAe,EACpB,KAAK,iBAAiB,EACtB,KAAK,aAAa,EAClB,KAAK,eAAe,EACpB,KAAK,eAAe,EACpB,KAAK,oBAAoB,GAC1B"}

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/index.js

@@ -0,0 +1,9 @@
+"use strict";
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+Object.defineProperty(exports, "__esModule", { value: true });
+exports.Runs = exports.OutputItems = void 0;
+var output_items_1 = require("./output-items.js");
+Object.defineProperty(exports, "OutputItems", { enumerable: true, get: function () { return output_items_1.OutputItems; } });
+var runs_1 = require("./runs.js");
+Object.defineProperty(exports, "Runs", { enumerable: true, get: function () { return runs_1.Runs; } });
+//# sourceMappingURL=index.js.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/index.js.map

@@ -0,0 +1 @@
+{"version":3,"file":"index.js","sourceRoot":"","sources":["../../../src/resources/evals/runs/index.ts"],"names":[],"mappings":";AAAA,sFAAsF;;;AAEtF,kDAOwB;AANtB,2GAAA,WAAW,OAAA;AAOb,kCAgBgB;AAfd,4FAAA,IAAI,OAAA"}

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/index.mjs

@@ -0,0 +1,4 @@
+// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
+export { OutputItems, } from "./output-items.mjs";
+export { Runs, } from "./runs.mjs";
+//# sourceMappingURL=index.mjs.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/output-items.d.mts

@@ -0,0 +1,330 @@
+import { APIResource } from "../../../core/resource.mjs";
+import * as RunsAPI from "./runs.mjs";
+import { APIPromise } from "../../../core/api-promise.mjs";
+import { CursorPage, type CursorPageParams, PagePromise } from "../../../core/pagination.mjs";
+import { RequestOptions } from "../../../internal/request-options.mjs";
+export declare class OutputItems extends APIResource {
+    /**
+     * Get an evaluation run output item by ID.
+     */
+    retrieve(outputItemID: string, params: OutputItemRetrieveParams, options?: RequestOptions): APIPromise<OutputItemRetrieveResponse>;
+    /**
+     * Get a list of output items for an evaluation run.
+     */
+    list(runID: string, params: OutputItemListParams, options?: RequestOptions): PagePromise<OutputItemListResponsesPage, OutputItemListResponse>;
+}
+export type OutputItemListResponsesPage = CursorPage<OutputItemListResponse>;
+/**
+ * A schema representing an evaluation run output item.
+ */
+export interface OutputItemRetrieveResponse {
+    /**
+     * Unique identifier for the evaluation run output item.
+     */
+    id: string;
+    /**
+     * Unix timestamp (in seconds) when the evaluation run was created.
+     */
+    created_at: number;
+    /**
+     * Details of the input data source item.
+     */
+    datasource_item: {
+        [key: string]: unknown;
+    };
+    /**
+     * The identifier for the data source item.
+     */
+    datasource_item_id: number;
+    /**
+     * The identifier of the evaluation group.
+     */
+    eval_id: string;
+    /**
+     * The type of the object. Always "eval.run.output_item".
+     */
+    object: 'eval.run.output_item';
+    /**
+     * A list of results from the evaluation run.
+     */
+    results: Array<{
+        [key: string]: unknown;
+    }>;
+    /**
+     * The identifier of the evaluation run associated with this output item.
+     */
+    run_id: string;
+    /**
+     * A sample containing the input and output of the evaluation run.
+     */
+    sample: OutputItemRetrieveResponse.Sample;
+    /**
+     * The status of the evaluation run.
+     */
+    status: string;
+}
+export declare namespace OutputItemRetrieveResponse {
+    /**
+     * A sample containing the input and output of the evaluation run.
+     */
+    interface Sample {
+        /**
+         * An object representing an error response from the Eval API.
+         */
+        error: RunsAPI.EvalAPIError;
+        /**
+         * The reason why the sample generation was finished.
+         */
+        finish_reason: string;
+        /**
+         * An array of input messages.
+         */
+        input: Array<Sample.Input>;
+        /**
+         * The maximum number of tokens allowed for completion.
+         */
+        max_completion_tokens: number;
+        /**
+         * The model used for generating the sample.
+         */
+        model: string;
+        /**
+         * An array of output messages.
+         */
+        output: Array<Sample.Output>;
+        /**
+         * The seed used for generating the sample.
+         */
+        seed: number;
+        /**
+         * The sampling temperature used.
+         */
+        temperature: number;
+        /**
+         * The top_p value used for sampling.
+         */
+        top_p: number;
+        /**
+         * Token usage details for the sample.
+         */
+        usage: Sample.Usage;
+    }
+    namespace Sample {
+        /**
+         * An input message.
+         */
+        interface Input {
+            /**
+             * The content of the message.
+             */
+            content: string;
+            /**
+             * The role of the message sender (e.g., system, user, developer).
+             */
+            role: string;
+        }
+        interface Output {
+            /**
+             * The content of the message.
+             */
+            content?: string;
+            /**
+             * The role of the message (e.g. "system", "assistant", "user").
+             */
+            role?: string;
+        }
+        /**
+         * Token usage details for the sample.
+         */
+        interface Usage {
+            /**
+             * The number of tokens retrieved from cache.
+             */
+            cached_tokens: number;
+            /**
+             * The number of completion tokens generated.
+             */
+            completion_tokens: number;
+            /**
+             * The number of prompt tokens used.
+             */
+            prompt_tokens: number;
+            /**
+             * The total number of tokens used.
+             */
+            total_tokens: number;
+        }
+    }
+}
+/**
+ * A schema representing an evaluation run output item.
+ */
+export interface OutputItemListResponse {
+    /**
+     * Unique identifier for the evaluation run output item.
+     */
+    id: string;
+    /**
+     * Unix timestamp (in seconds) when the evaluation run was created.
+     */
+    created_at: number;
+    /**
+     * Details of the input data source item.
+     */
+    datasource_item: {
+        [key: string]: unknown;
+    };
+    /**
+     * The identifier for the data source item.
+     */
+    datasource_item_id: number;
+    /**
+     * The identifier of the evaluation group.
+     */
+    eval_id: string;
+    /**
+     * The type of the object. Always "eval.run.output_item".
+     */
+    object: 'eval.run.output_item';
+    /**
+     * A list of results from the evaluation run.
+     */
+    results: Array<{
+        [key: string]: unknown;
+    }>;
+    /**
+     * The identifier of the evaluation run associated with this output item.
+     */
+    run_id: string;
+    /**
+     * A sample containing the input and output of the evaluation run.
+     */
+    sample: OutputItemListResponse.Sample;
+    /**
+     * The status of the evaluation run.
+     */
+    status: string;
+}
+export declare namespace OutputItemListResponse {
+    /**
+     * A sample containing the input and output of the evaluation run.
+     */
+    interface Sample {
+        /**
+         * An object representing an error response from the Eval API.
+         */
+        error: RunsAPI.EvalAPIError;
+        /**
+         * The reason why the sample generation was finished.
+         */
+        finish_reason: string;
+        /**
+         * An array of input messages.
+         */
+        input: Array<Sample.Input>;
+        /**
+         * The maximum number of tokens allowed for completion.
+         */
+        max_completion_tokens: number;
+        /**
+         * The model used for generating the sample.
+         */
+        model: string;
+        /**
+         * An array of output messages.
+         */
+        output: Array<Sample.Output>;
+        /**
+         * The seed used for generating the sample.
+         */
+        seed: number;
+        /**
+         * The sampling temperature used.
+         */
+        temperature: number;
+        /**
+         * The top_p value used for sampling.
+         */
+        top_p: number;
+        /**
+         * Token usage details for the sample.
+         */
+        usage: Sample.Usage;
+    }
+    namespace Sample {
+        /**
+         * An input message.
+         */
+        interface Input {
+            /**
+             * The content of the message.
+             */
+            content: string;
+            /**
+             * The role of the message sender (e.g., system, user, developer).
+             */
+            role: string;
+        }
+        interface Output {
+            /**
+             * The content of the message.
+             */
+            content?: string;
+            /**
+             * The role of the message (e.g. "system", "assistant", "user").
+             */
+            role?: string;
+        }
+        /**
+         * Token usage details for the sample.
+         */
+        interface Usage {
+            /**
+             * The number of tokens retrieved from cache.
+             */
+            cached_tokens: number;
+            /**
+             * The number of completion tokens generated.
+             */
+            completion_tokens: number;
+            /**
+             * The number of prompt tokens used.
+             */
+            prompt_tokens: number;
+            /**
+             * The total number of tokens used.
+             */
+            total_tokens: number;
+        }
+    }
+}
+export interface OutputItemRetrieveParams {
+    /**
+     * The ID of the evaluation to retrieve runs for.
+     */
+    eval_id: string;
+    /**
+     * The ID of the run to retrieve.
+     */
+    run_id: string;
+}
+export interface OutputItemListParams extends CursorPageParams {
+    /**
+     * Path param: The ID of the evaluation to retrieve runs for.
+     */
+    eval_id: string;
+    /**
+     * Query param: Sort order for output items by timestamp. Use `asc` for ascending
+     * order or `desc` for descending order. Defaults to `asc`.
+     */
+    order?: 'asc' | 'desc';
+    /**
+     * Query param: Filter output items by status. Use `failed` to filter by failed
+     * output items or `pass` to filter by passed output items.
+     */
+    status?: 'fail' | 'pass';
+}
+export declare namespace OutputItems {
+    export { type OutputItemRetrieveResponse as OutputItemRetrieveResponse, type OutputItemListResponse as OutputItemListResponse, type OutputItemListResponsesPage as OutputItemListResponsesPage, type OutputItemRetrieveParams as OutputItemRetrieveParams, type OutputItemListParams as OutputItemListParams, };
+}
+//# sourceMappingURL=output-items.d.mts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/output-items.d.ts

@@ -0,0 +1,330 @@
+import { APIResource } from "../../../core/resource.js";
+import * as RunsAPI from "./runs.js";
+import { APIPromise } from "../../../core/api-promise.js";
+import { CursorPage, type CursorPageParams, PagePromise } from "../../../core/pagination.js";
+import { RequestOptions } from "../../../internal/request-options.js";
+export declare class OutputItems extends APIResource {
+    /**
+     * Get an evaluation run output item by ID.
+     */
+    retrieve(outputItemID: string, params: OutputItemRetrieveParams, options?: RequestOptions): APIPromise<OutputItemRetrieveResponse>;
+    /**
+     * Get a list of output items for an evaluation run.
+     */
+    list(runID: string, params: OutputItemListParams, options?: RequestOptions): PagePromise<OutputItemListResponsesPage, OutputItemListResponse>;
+}
+export type OutputItemListResponsesPage = CursorPage<OutputItemListResponse>;
+/**
+ * A schema representing an evaluation run output item.
+ */
+export interface OutputItemRetrieveResponse {
+    /**
+     * Unique identifier for the evaluation run output item.
+     */
+    id: string;
+    /**
+     * Unix timestamp (in seconds) when the evaluation run was created.
+     */
+    created_at: number;
+    /**
+     * Details of the input data source item.
+     */
+    datasource_item: {
+        [key: string]: unknown;
+    };
+    /**
+     * The identifier for the data source item.
+     */
+    datasource_item_id: number;
+    /**
+     * The identifier of the evaluation group.
+     */
+    eval_id: string;
+    /**
+     * The type of the object. Always "eval.run.output_item".
+     */
+    object: 'eval.run.output_item';
+    /**
+     * A list of results from the evaluation run.
+     */
+    results: Array<{
+        [key: string]: unknown;
+    }>;
+    /**
+     * The identifier of the evaluation run associated with this output item.
+     */
+    run_id: string;
+    /**
+     * A sample containing the input and output of the evaluation run.
+     */
+    sample: OutputItemRetrieveResponse.Sample;
+    /**
+     * The status of the evaluation run.
+     */
+    status: string;
+}
+export declare namespace OutputItemRetrieveResponse {
+    /**
+     * A sample containing the input and output of the evaluation run.
+     */
+    interface Sample {
+        /**
+         * An object representing an error response from the Eval API.
+         */
+        error: RunsAPI.EvalAPIError;
+        /**
+         * The reason why the sample generation was finished.
+         */
+        finish_reason: string;
+        /**
+         * An array of input messages.
+         */
+        input: Array<Sample.Input>;
+        /**
+         * The maximum number of tokens allowed for completion.
+         */
+        max_completion_tokens: number;
+        /**
+         * The model used for generating the sample.
+         */
+        model: string;
+        /**
+         * An array of output messages.
+         */
+        output: Array<Sample.Output>;
+        /**
+         * The seed used for generating the sample.
+         */
+        seed: number;
+        /**
+         * The sampling temperature used.
+         */
+        temperature: number;
+        /**
+         * The top_p value used for sampling.
+         */
+        top_p: number;
+        /**
+         * Token usage details for the sample.
+         */
+        usage: Sample.Usage;
+    }
+    namespace Sample {
+        /**
+         * An input message.
+         */
+        interface Input {
+            /**
+             * The content of the message.
+             */
+            content: string;
+            /**
+             * The role of the message sender (e.g., system, user, developer).
+             */
+            role: string;
+        }
+        interface Output {
+            /**
+             * The content of the message.
+             */
+            content?: string;
+            /**
+             * The role of the message (e.g. "system", "assistant", "user").
+             */
+            role?: string;
+        }
+        /**
+         * Token usage details for the sample.
+         */
+        interface Usage {
+            /**
+             * The number of tokens retrieved from cache.
+             */
+            cached_tokens: number;
+            /**
+             * The number of completion tokens generated.
+             */
+            completion_tokens: number;
+            /**
+             * The number of prompt tokens used.
+             */
+            prompt_tokens: number;
+            /**
+             * The total number of tokens used.
+             */
+            total_tokens: number;
+        }
+    }
+}
+/**
+ * A schema representing an evaluation run output item.
+ */
+export interface OutputItemListResponse {
+    /**
+     * Unique identifier for the evaluation run output item.
+     */
+    id: string;
+    /**
+     * Unix timestamp (in seconds) when the evaluation run was created.
+     */
+    created_at: number;
+    /**
+     * Details of the input data source item.
+     */
+    datasource_item: {
+        [key: string]: unknown;
+    };
+    /**
+     * The identifier for the data source item.
+     */
+    datasource_item_id: number;
+    /**
+     * The identifier of the evaluation group.
+     */
+    eval_id: string;
+    /**
+     * The type of the object. Always "eval.run.output_item".
+     */
+    object: 'eval.run.output_item';
+    /**
+     * A list of results from the evaluation run.
+     */
+    results: Array<{
+        [key: string]: unknown;
+    }>;
+    /**
+     * The identifier of the evaluation run associated with this output item.
+     */
+    run_id: string;
+    /**
+     * A sample containing the input and output of the evaluation run.
+     */
+    sample: OutputItemListResponse.Sample;
+    /**
+     * The status of the evaluation run.
+     */
+    status: string;
+}
+export declare namespace OutputItemListResponse {
+    /**
+     * A sample containing the input and output of the evaluation run.
+     */
+    interface Sample {
+        /**
+         * An object representing an error response from the Eval API.
+         */
+        error: RunsAPI.EvalAPIError;
+        /**
+         * The reason why the sample generation was finished.
+         */
+        finish_reason: string;
+        /**
+         * An array of input messages.
+         */
+        input: Array<Sample.Input>;
+        /**
+         * The maximum number of tokens allowed for completion.
+         */
+        max_completion_tokens: number;
+        /**
+         * The model used for generating the sample.
+         */
+        model: string;
+        /**
+         * An array of output messages.
+         */
+        output: Array<Sample.Output>;
+        /**
+         * The seed used for generating the sample.
+         */
+        seed: number;
+        /**
+         * The sampling temperature used.
+         */
+        temperature: number;
+        /**
+         * The top_p value used for sampling.
+         */
+        top_p: number;
+        /**
+         * Token usage details for the sample.
+         */
+        usage: Sample.Usage;
+    }
+    namespace Sample {
+        /**
+         * An input message.
+         */
+        interface Input {
+            /**
+             * The content of the message.
+             */
+            content: string;
+            /**
+             * The role of the message sender (e.g., system, user, developer).
+             */
+            role: string;
+        }
+        interface Output {
+            /**
+             * The content of the message.
+             */
+            content?: string;
+            /**
+             * The role of the message (e.g. "system", "assistant", "user").
+             */
+            role?: string;
+        }
+        /**
+         * Token usage details for the sample.
+         */
+        interface Usage {
+            /**
+             * The number of tokens retrieved from cache.
+             */
+            cached_tokens: number;
+            /**
+             * The number of completion tokens generated.
+             */
+            completion_tokens: number;
+            /**
+             * The number of prompt tokens used.
+             */
+            prompt_tokens: number;
+            /**
+             * The total number of tokens used.
+             */
+            total_tokens: number;
+        }
+    }
+}
+export interface OutputItemRetrieveParams {
+    /**
+     * The ID of the evaluation to retrieve runs for.
+     */
+    eval_id: string;
+    /**
+     * The ID of the run to retrieve.
+     */
+    run_id: string;
+}
+export interface OutputItemListParams extends CursorPageParams {
+    /**
+     * Path param: The ID of the evaluation to retrieve runs for.
+     */
+    eval_id: string;
+    /**
+     * Query param: Sort order for output items by timestamp. Use `asc` for ascending
+     * order or `desc` for descending order. Defaults to `asc`.
+     */
+    order?: 'asc' | 'desc';
+    /**
+     * Query param: Filter output items by status. Use `failed` to filter by failed
+     * output items or `pass` to filter by passed output items.
+     */
+    status?: 'fail' | 'pass';
+}
+export declare namespace OutputItems {
+    export { type OutputItemRetrieveResponse as OutputItemRetrieveResponse, type OutputItemListResponse as OutputItemListResponse, type OutputItemListResponsesPage as OutputItemListResponsesPage, type OutputItemRetrieveParams as OutputItemRetrieveParams, type OutputItemListParams as OutputItemListParams, };
+}
+//# sourceMappingURL=output-items.d.ts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/output-items.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.OutputItems = void 0;
+const resource_1 = require("../../../core/resource.js");
+const pagination_1 = require("../../../core/pagination.js");
+const path_1 = require("../../../internal/utils/path.js");
+class OutputItems extends resource_1.APIResource {
+    /**
+     * Get an evaluation run output item by ID.
+     */
+    retrieve(outputItemID, params, options) {
+        const { eval_id, run_id } = params;
+        return this._client.get((0, path_1.path) `/evals/${eval_id}/runs/${run_id}/output_items/${outputItemID}`, options);
+    }
+    /**
+     * Get a list of output items for an evaluation run.
+     */
+    list(runID, params, options) {
+        const { eval_id, ...query } = params;
+        return this._client.getAPIList((0, path_1.path) `/evals/${eval_id}/runs/${runID}/output_items`, (pagination_1.CursorPage), { query, ...options });
+    }
+}
+exports.OutputItems = OutputItems;
+//# sourceMappingURL=output-items.js.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/output-items.js.map

@@ -0,0 +1 @@
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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/output-items.mjs

@@ -0,0 +1,21 @@
+// 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 { path } from "../../../internal/utils/path.mjs";
+export class OutputItems extends APIResource {
+    /**
+     * Get an evaluation run output item by ID.
+     */
+    retrieve(outputItemID, params, options) {
+        const { eval_id, run_id } = params;
+        return this._client.get(path `/evals/${eval_id}/runs/${run_id}/output_items/${outputItemID}`, options);
+    }
+    /**
+     * Get a list of output items for an evaluation run.
+     */
+    list(runID, params, options) {
+        const { eval_id, ...query } = params;
+        return this._client.getAPIList(path `/evals/${eval_id}/runs/${runID}/output_items`, (CursorPage), { query, ...options });
+    }
+}
+//# sourceMappingURL=output-items.mjs.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/output-items.mjs.map

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platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/runs.d.mts

@@ -0,0 +1,2227 @@
+import { APIResource } from "../../../core/resource.mjs";
+import * as Shared from "../../shared.mjs";
+import * as ResponsesAPI from "../../responses/responses.mjs";
+import * as CompletionsAPI from "../../chat/completions/completions.mjs";
+import * as OutputItemsAPI from "./output-items.mjs";
+import { OutputItemListParams, OutputItemListResponse, OutputItemListResponsesPage, OutputItemRetrieveParams, OutputItemRetrieveResponse, OutputItems } from "./output-items.mjs";
+import { APIPromise } from "../../../core/api-promise.mjs";
+import { CursorPage, type CursorPageParams, PagePromise } from "../../../core/pagination.mjs";
+import { RequestOptions } from "../../../internal/request-options.mjs";
+export declare class Runs extends APIResource {
+    outputItems: OutputItemsAPI.OutputItems;
+    /**
+     * Kicks off a new run for a given evaluation, specifying the data source, and what
+     * model configuration to use to test. The datasource will be validated against the
+     * schema specified in the config of the evaluation.
+     */
+    create(evalID: string, body: RunCreateParams, options?: RequestOptions): APIPromise<RunCreateResponse>;
+    /**
+     * Get an evaluation run by ID.
+     */
+    retrieve(runID: string, params: RunRetrieveParams, options?: RequestOptions): APIPromise<RunRetrieveResponse>;
+    /**
+     * Get a list of runs for an evaluation.
+     */
+    list(evalID: string, query?: RunListParams | null | undefined, options?: RequestOptions): PagePromise<RunListResponsesPage, RunListResponse>;
+    /**
+     * Delete an eval run.
+     */
+    delete(runID: string, params: RunDeleteParams, options?: RequestOptions): APIPromise<RunDeleteResponse>;
+    /**
+     * Cancel an ongoing evaluation run.
+     */
+    cancel(runID: string, params: RunCancelParams, options?: RequestOptions): APIPromise<RunCancelResponse>;
+}
+export type RunListResponsesPage = CursorPage<RunListResponse>;
+/**
+ * A CompletionsRunDataSource object describing a model sampling configuration.
+ */
+export interface CreateEvalCompletionsRunDataSource {
+    /**
+     * Determines what populates the `item` namespace in this run's data source.
+     */
+    source: CreateEvalCompletionsRunDataSource.FileContent | CreateEvalCompletionsRunDataSource.FileID | CreateEvalCompletionsRunDataSource.StoredCompletions;
+    /**
+     * The type of run data source. Always `completions`.
+     */
+    type: 'completions';
+    /**
+     * Used when sampling from a model. Dictates the structure of the messages passed
+     * into the model. Can either be a reference to a prebuilt trajectory (ie,
+     * `item.input_trajectory`), or a template with variable references to the `item`
+     * namespace.
+     */
+    input_messages?: CreateEvalCompletionsRunDataSource.Template | CreateEvalCompletionsRunDataSource.ItemReference;
+    /**
+     * The name of the model to use for generating completions (e.g. "o3-mini").
+     */
+    model?: string;
+    sampling_params?: CreateEvalCompletionsRunDataSource.SamplingParams;
+}
+export declare namespace CreateEvalCompletionsRunDataSource {
+    interface FileContent {
+        /**
+         * The content of the jsonl file.
+         */
+        content: Array<FileContent.Content>;
+        /**
+         * The type of jsonl source. Always `file_content`.
+         */
+        type: 'file_content';
+    }
+    namespace FileContent {
+        interface Content {
+            item: {
+                [key: string]: unknown;
+            };
+            sample?: {
+                [key: string]: unknown;
+            };
+        }
+    }
+    interface FileID {
+        /**
+         * The identifier of the file.
+         */
+        id: string;
+        /**
+         * The type of jsonl source. Always `file_id`.
+         */
+        type: 'file_id';
+    }
+    /**
+     * A StoredCompletionsRunDataSource configuration describing a set of filters
+     */
+    interface StoredCompletions {
+        /**
+         * The type of source. Always `stored_completions`.
+         */
+        type: 'stored_completions';
+        /**
+         * An optional Unix timestamp to filter items created after this time.
+         */
+        created_after?: number | null;
+        /**
+         * An optional Unix timestamp to filter items created before this time.
+         */
+        created_before?: number | null;
+        /**
+         * An optional maximum number of items to return.
+         */
+        limit?: number | 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;
+        /**
+         * An optional model to filter by (e.g., 'gpt-4o').
+         */
+        model?: string | null;
+    }
+    interface Template {
+        /**
+         * A list of chat messages forming the prompt or context. May include variable
+         * references to the `item` namespace, ie {{item.name}}.
+         */
+        template: Array<ResponsesAPI.EasyInputMessage | Template.EvalItem>;
+        /**
+         * The type of input messages. Always `template`.
+         */
+        type: 'template';
+    }
+    namespace Template {
+        /**
+         * A message input to the model with a role indicating instruction following
+         * hierarchy. Instructions given with the `developer` or `system` role take
+         * precedence over instructions given with the `user` role. Messages with the
+         * `assistant` role are presumed to have been generated by the model in previous
+         * interactions.
+         */
+        interface EvalItem {
+            /**
+             * Inputs to the model - can contain template strings.
+             */
+            content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText | EvalItem.InputImage | Array<unknown>;
+            /**
+             * The role of the message input. One of `user`, `assistant`, `system`, or
+             * `developer`.
+             */
+            role: 'user' | 'assistant' | 'system' | 'developer';
+            /**
+             * The type of the message input. Always `message`.
+             */
+            type?: 'message';
+        }
+        namespace EvalItem {
+            /**
+             * A text output from the model.
+             */
+            interface OutputText {
+                /**
+                 * The text output from the model.
+                 */
+                text: string;
+                /**
+                 * The type of the output text. Always `output_text`.
+                 */
+                type: 'output_text';
+            }
+            /**
+             * An image input to the model.
+             */
+            interface InputImage {
+                /**
+                 * The URL of the image input.
+                 */
+                image_url: string;
+                /**
+                 * The type of the image input. Always `input_image`.
+                 */
+                type: 'input_image';
+                /**
+                 * The detail level of the image to be sent to the model. One of `high`, `low`, or
+                 * `auto`. Defaults to `auto`.
+                 */
+                detail?: string;
+            }
+        }
+    }
+    interface ItemReference {
+        /**
+         * A reference to a variable in the `item` namespace. Ie, "item.input_trajectory"
+         */
+        item_reference: string;
+        /**
+         * The type of input messages. Always `item_reference`.
+         */
+        type: 'item_reference';
+    }
+    interface SamplingParams {
+        /**
+         * The maximum number of tokens in the generated output.
+         */
+        max_completion_tokens?: number;
+        /**
+         * An object specifying the format that the model must output.
+         *
+         * Setting to `{ "type": "json_schema", "json_schema": {...} }` enables Structured
+         * Outputs which ensures the model will match your supplied JSON schema. Learn more
+         * in the
+         * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+         *
+         * Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+         * ensures the message the model generates is valid JSON. Using `json_schema` is
+         * preferred for models that support it.
+         */
+        response_format?: Shared.ResponseFormatText | Shared.ResponseFormatJSONSchema | Shared.ResponseFormatJSONObject;
+        /**
+         * A seed value to initialize the randomness, during sampling.
+         */
+        seed?: number;
+        /**
+         * A higher temperature increases randomness in the outputs.
+         */
+        temperature?: number;
+        /**
+         * A list of tools the model may call. Currently, only functions are supported as a
+         * tool. Use this to provide a list of functions the model may generate JSON inputs
+         * for. A max of 128 functions are supported.
+         */
+        tools?: Array<CompletionsAPI.ChatCompletionFunctionTool>;
+        /**
+         * An alternative to temperature for nucleus sampling; 1.0 includes all tokens.
+         */
+        top_p?: number;
+    }
+}
+/**
+ * A JsonlRunDataSource object with that specifies a JSONL file that matches the
+ * eval
+ */
+export interface CreateEvalJSONLRunDataSource {
+    /**
+     * Determines what populates the `item` namespace in the data source.
+     */
+    source: CreateEvalJSONLRunDataSource.FileContent | CreateEvalJSONLRunDataSource.FileID;
+    /**
+     * The type of data source. Always `jsonl`.
+     */
+    type: 'jsonl';
+}
+export declare namespace CreateEvalJSONLRunDataSource {
+    interface FileContent {
+        /**
+         * The content of the jsonl file.
+         */
+        content: Array<FileContent.Content>;
+        /**
+         * The type of jsonl source. Always `file_content`.
+         */
+        type: 'file_content';
+    }
+    namespace FileContent {
+        interface Content {
+            item: {
+                [key: string]: unknown;
+            };
+            sample?: {
+                [key: string]: unknown;
+            };
+        }
+    }
+    interface FileID {
+        /**
+         * The identifier of the file.
+         */
+        id: string;
+        /**
+         * The type of jsonl source. Always `file_id`.
+         */
+        type: 'file_id';
+    }
+}
+/**
+ * An object representing an error response from the Eval API.
+ */
+export interface EvalAPIError {
+    /**
+     * The error code.
+     */
+    code: string;
+    /**
+     * The error message.
+     */
+    message: string;
+}
+/**
+ * A schema representing an evaluation run.
+ */
+export interface RunCreateResponse {
+    /**
+     * Unique identifier for the evaluation run.
+     */
+    id: string;
+    /**
+     * Unix timestamp (in seconds) when the evaluation run was created.
+     */
+    created_at: number;
+    /**
+     * Information about the run's data source.
+     */
+    data_source: CreateEvalJSONLRunDataSource | CreateEvalCompletionsRunDataSource | RunCreateResponse.Responses;
+    /**
+     * An object representing an error response from the Eval API.
+     */
+    error: EvalAPIError;
+    /**
+     * The identifier of the associated evaluation.
+     */
+    eval_id: string;
+    /**
+     * 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 model that is evaluated, if applicable.
+     */
+    model: string;
+    /**
+     * The name of the evaluation run.
+     */
+    name: string;
+    /**
+     * The type of the object. Always "eval.run".
+     */
+    object: 'eval.run';
+    /**
+     * Usage statistics for each model during the evaluation run.
+     */
+    per_model_usage: Array<RunCreateResponse.PerModelUsage>;
+    /**
+     * Results per testing criteria applied during the evaluation run.
+     */
+    per_testing_criteria_results: Array<RunCreateResponse.PerTestingCriteriaResult>;
+    /**
+     * The URL to the rendered evaluation run report on the UI dashboard.
+     */
+    report_url: string;
+    /**
+     * Counters summarizing the outcomes of the evaluation run.
+     */
+    result_counts: RunCreateResponse.ResultCounts;
+    /**
+     * The status of the evaluation run.
+     */
+    status: string;
+}
+export declare namespace RunCreateResponse {
+    /**
+     * A ResponsesRunDataSource object describing a model sampling configuration.
+     */
+    interface Responses {
+        /**
+         * Determines what populates the `item` namespace in this run's data source.
+         */
+        source: Responses.FileContent | Responses.FileID | Responses.Responses;
+        /**
+         * The type of run data source. Always `responses`.
+         */
+        type: 'responses';
+        /**
+         * Used when sampling from a model. Dictates the structure of the messages passed
+         * into the model. Can either be a reference to a prebuilt trajectory (ie,
+         * `item.input_trajectory`), or a template with variable references to the `item`
+         * namespace.
+         */
+        input_messages?: Responses.Template | Responses.ItemReference;
+        /**
+         * The name of the model to use for generating completions (e.g. "o3-mini").
+         */
+        model?: string;
+        sampling_params?: Responses.SamplingParams;
+    }
+    namespace Responses {
+        interface FileContent {
+            /**
+             * The content of the jsonl file.
+             */
+            content: Array<FileContent.Content>;
+            /**
+             * The type of jsonl source. Always `file_content`.
+             */
+            type: 'file_content';
+        }
+        namespace FileContent {
+            interface Content {
+                item: {
+                    [key: string]: unknown;
+                };
+                sample?: {
+                    [key: string]: unknown;
+                };
+            }
+        }
+        interface FileID {
+            /**
+             * The identifier of the file.
+             */
+            id: string;
+            /**
+             * The type of jsonl source. Always `file_id`.
+             */
+            type: 'file_id';
+        }
+        /**
+         * A EvalResponsesSource object describing a run data source configuration.
+         */
+        interface Responses {
+            /**
+             * The type of run data source. Always `responses`.
+             */
+            type: 'responses';
+            /**
+             * Only include items created after this timestamp (inclusive). This is a query
+             * parameter used to select responses.
+             */
+            created_after?: number | null;
+            /**
+             * Only include items created before this timestamp (inclusive). This is a query
+             * parameter used to select responses.
+             */
+            created_before?: number | null;
+            /**
+             * Optional string to search the 'instructions' field. This is a query parameter
+             * used to select responses.
+             */
+            instructions_search?: string | null;
+            /**
+             * Metadata filter for the responses. This is a query parameter used to select
+             * responses.
+             */
+            metadata?: unknown | null;
+            /**
+             * The name of the model to find responses for. This is a query parameter used to
+             * select responses.
+             */
+            model?: string | null;
+            /**
+             * Optional reasoning effort parameter. This is a query parameter used to select
+             * responses.
+             */
+            reasoning_effort?: Shared.ReasoningEffort | null;
+            /**
+             * Sampling temperature. This is a query parameter used to select responses.
+             */
+            temperature?: number | null;
+            /**
+             * List of tool names. This is a query parameter used to select responses.
+             */
+            tools?: Array<string> | null;
+            /**
+             * Nucleus sampling parameter. This is a query parameter used to select responses.
+             */
+            top_p?: number | null;
+            /**
+             * List of user identifiers. This is a query parameter used to select responses.
+             */
+            users?: Array<string> | null;
+        }
+        interface Template {
+            /**
+             * A list of chat messages forming the prompt or context. May include variable
+             * references to the `item` namespace, ie {{item.name}}.
+             */
+            template: Array<Template.ChatMessage | Template.EvalItem>;
+            /**
+             * The type of input messages. Always `template`.
+             */
+            type: 'template';
+        }
+        namespace Template {
+            interface ChatMessage {
+                /**
+                 * The content of the message.
+                 */
+                content: string;
+                /**
+                 * The role of the message (e.g. "system", "assistant", "user").
+                 */
+                role: string;
+            }
+            /**
+             * A message input to the model with a role indicating instruction following
+             * hierarchy. Instructions given with the `developer` or `system` role take
+             * precedence over instructions given with the `user` role. Messages with the
+             * `assistant` role are presumed to have been generated by the model in previous
+             * interactions.
+             */
+            interface EvalItem {
+                /**
+                 * Inputs to the model - can contain template strings.
+                 */
+                content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText | EvalItem.InputImage | Array<unknown>;
+                /**
+                 * The role of the message input. One of `user`, `assistant`, `system`, or
+                 * `developer`.
+                 */
+                role: 'user' | 'assistant' | 'system' | 'developer';
+                /**
+                 * The type of the message input. Always `message`.
+                 */
+                type?: 'message';
+            }
+            namespace EvalItem {
+                /**
+                 * A text output from the model.
+                 */
+                interface OutputText {
+                    /**
+                     * The text output from the model.
+                     */
+                    text: string;
+                    /**
+                     * The type of the output text. Always `output_text`.
+                     */
+                    type: 'output_text';
+                }
+                /**
+                 * An image input to the model.
+                 */
+                interface InputImage {
+                    /**
+                     * The URL of the image input.
+                     */
+                    image_url: string;
+                    /**
+                     * The type of the image input. Always `input_image`.
+                     */
+                    type: 'input_image';
+                    /**
+                     * The detail level of the image to be sent to the model. One of `high`, `low`, or
+                     * `auto`. Defaults to `auto`.
+                     */
+                    detail?: string;
+                }
+            }
+        }
+        interface ItemReference {
+            /**
+             * A reference to a variable in the `item` namespace. Ie, "item.name"
+             */
+            item_reference: string;
+            /**
+             * The type of input messages. Always `item_reference`.
+             */
+            type: 'item_reference';
+        }
+        interface SamplingParams {
+            /**
+             * The maximum number of tokens in the generated output.
+             */
+            max_completion_tokens?: number;
+            /**
+             * A seed value to initialize the randomness, during sampling.
+             */
+            seed?: number;
+            /**
+             * A higher temperature increases randomness in the outputs.
+             */
+            temperature?: number;
+            /**
+             * Configuration options for a text response from the model. Can be plain text or
+             * structured JSON data. Learn more:
+             *
+             * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+             * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+             */
+            text?: SamplingParams.Text;
+            /**
+             * An array of tools the model may call while generating a response. You can
+             * specify which tool to use by setting the `tool_choice` parameter.
+             *
+             * The two categories of tools you can provide the model are:
+             *
+             * - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+             *   capabilities, like
+             *   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+             *   [file search](https://platform.openai.com/docs/guides/tools-file-search).
+             *   Learn more about
+             *   [built-in tools](https://platform.openai.com/docs/guides/tools).
+             * - **Function calls (custom tools)**: Functions that are defined by you, enabling
+             *   the model to call your own code. Learn more about
+             *   [function calling](https://platform.openai.com/docs/guides/function-calling).
+             */
+            tools?: Array<ResponsesAPI.Tool>;
+            /**
+             * An alternative to temperature for nucleus sampling; 1.0 includes all tokens.
+             */
+            top_p?: number;
+        }
+        namespace SamplingParams {
+            /**
+             * Configuration options for a text response from the model. Can be plain text or
+             * structured JSON data. Learn more:
+             *
+             * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+             * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+             */
+            interface Text {
+                /**
+                 * An object specifying the format that the model must output.
+                 *
+                 * Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
+                 * ensures the model will match your supplied JSON schema. Learn more in the
+                 * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+                 *
+                 * The default format is `{ "type": "text" }` with no additional options.
+                 *
+                 * **Not recommended for gpt-4o and newer models:**
+                 *
+                 * Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+                 * ensures the message the model generates is valid JSON. Using `json_schema` is
+                 * preferred for models that support it.
+                 */
+                format?: ResponsesAPI.ResponseFormatTextConfig;
+            }
+        }
+    }
+    interface PerModelUsage {
+        /**
+         * The number of tokens retrieved from cache.
+         */
+        cached_tokens: number;
+        /**
+         * The number of completion tokens generated.
+         */
+        completion_tokens: number;
+        /**
+         * The number of invocations.
+         */
+        invocation_count: number;
+        /**
+         * The name of the model.
+         */
+        model_name: string;
+        /**
+         * The number of prompt tokens used.
+         */
+        prompt_tokens: number;
+        /**
+         * The total number of tokens used.
+         */
+        total_tokens: number;
+    }
+    interface PerTestingCriteriaResult {
+        /**
+         * Number of tests failed for this criteria.
+         */
+        failed: number;
+        /**
+         * Number of tests passed for this criteria.
+         */
+        passed: number;
+        /**
+         * A description of the testing criteria.
+         */
+        testing_criteria: string;
+    }
+    /**
+     * Counters summarizing the outcomes of the evaluation run.
+     */
+    interface ResultCounts {
+        /**
+         * Number of output items that resulted in an error.
+         */
+        errored: number;
+        /**
+         * Number of output items that failed to pass the evaluation.
+         */
+        failed: number;
+        /**
+         * Number of output items that passed the evaluation.
+         */
+        passed: number;
+        /**
+         * Total number of executed output items.
+         */
+        total: number;
+    }
+}
+/**
+ * A schema representing an evaluation run.
+ */
+export interface RunRetrieveResponse {
+    /**
+     * Unique identifier for the evaluation run.
+     */
+    id: string;
+    /**
+     * Unix timestamp (in seconds) when the evaluation run was created.
+     */
+    created_at: number;
+    /**
+     * Information about the run's data source.
+     */
+    data_source: CreateEvalJSONLRunDataSource | CreateEvalCompletionsRunDataSource | RunRetrieveResponse.Responses;
+    /**
+     * An object representing an error response from the Eval API.
+     */
+    error: EvalAPIError;
+    /**
+     * The identifier of the associated evaluation.
+     */
+    eval_id: string;
+    /**
+     * 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 model that is evaluated, if applicable.
+     */
+    model: string;
+    /**
+     * The name of the evaluation run.
+     */
+    name: string;
+    /**
+     * The type of the object. Always "eval.run".
+     */
+    object: 'eval.run';
+    /**
+     * Usage statistics for each model during the evaluation run.
+     */
+    per_model_usage: Array<RunRetrieveResponse.PerModelUsage>;
+    /**
+     * Results per testing criteria applied during the evaluation run.
+     */
+    per_testing_criteria_results: Array<RunRetrieveResponse.PerTestingCriteriaResult>;
+    /**
+     * The URL to the rendered evaluation run report on the UI dashboard.
+     */
+    report_url: string;
+    /**
+     * Counters summarizing the outcomes of the evaluation run.
+     */
+    result_counts: RunRetrieveResponse.ResultCounts;
+    /**
+     * The status of the evaluation run.
+     */
+    status: string;
+}
+export declare namespace RunRetrieveResponse {
+    /**
+     * A ResponsesRunDataSource object describing a model sampling configuration.
+     */
+    interface Responses {
+        /**
+         * Determines what populates the `item` namespace in this run's data source.
+         */
+        source: Responses.FileContent | Responses.FileID | Responses.Responses;
+        /**
+         * The type of run data source. Always `responses`.
+         */
+        type: 'responses';
+        /**
+         * Used when sampling from a model. Dictates the structure of the messages passed
+         * into the model. Can either be a reference to a prebuilt trajectory (ie,
+         * `item.input_trajectory`), or a template with variable references to the `item`
+         * namespace.
+         */
+        input_messages?: Responses.Template | Responses.ItemReference;
+        /**
+         * The name of the model to use for generating completions (e.g. "o3-mini").
+         */
+        model?: string;
+        sampling_params?: Responses.SamplingParams;
+    }
+    namespace Responses {
+        interface FileContent {
+            /**
+             * The content of the jsonl file.
+             */
+            content: Array<FileContent.Content>;
+            /**
+             * The type of jsonl source. Always `file_content`.
+             */
+            type: 'file_content';
+        }
+        namespace FileContent {
+            interface Content {
+                item: {
+                    [key: string]: unknown;
+                };
+                sample?: {
+                    [key: string]: unknown;
+                };
+            }
+        }
+        interface FileID {
+            /**
+             * The identifier of the file.
+             */
+            id: string;
+            /**
+             * The type of jsonl source. Always `file_id`.
+             */
+            type: 'file_id';
+        }
+        /**
+         * A EvalResponsesSource object describing a run data source configuration.
+         */
+        interface Responses {
+            /**
+             * The type of run data source. Always `responses`.
+             */
+            type: 'responses';
+            /**
+             * Only include items created after this timestamp (inclusive). This is a query
+             * parameter used to select responses.
+             */
+            created_after?: number | null;
+            /**
+             * Only include items created before this timestamp (inclusive). This is a query
+             * parameter used to select responses.
+             */
+            created_before?: number | null;
+            /**
+             * Optional string to search the 'instructions' field. This is a query parameter
+             * used to select responses.
+             */
+            instructions_search?: string | null;
+            /**
+             * Metadata filter for the responses. This is a query parameter used to select
+             * responses.
+             */
+            metadata?: unknown | null;
+            /**
+             * The name of the model to find responses for. This is a query parameter used to
+             * select responses.
+             */
+            model?: string | null;
+            /**
+             * Optional reasoning effort parameter. This is a query parameter used to select
+             * responses.
+             */
+            reasoning_effort?: Shared.ReasoningEffort | null;
+            /**
+             * Sampling temperature. This is a query parameter used to select responses.
+             */
+            temperature?: number | null;
+            /**
+             * List of tool names. This is a query parameter used to select responses.
+             */
+            tools?: Array<string> | null;
+            /**
+             * Nucleus sampling parameter. This is a query parameter used to select responses.
+             */
+            top_p?: number | null;
+            /**
+             * List of user identifiers. This is a query parameter used to select responses.
+             */
+            users?: Array<string> | null;
+        }
+        interface Template {
+            /**
+             * A list of chat messages forming the prompt or context. May include variable
+             * references to the `item` namespace, ie {{item.name}}.
+             */
+            template: Array<Template.ChatMessage | Template.EvalItem>;
+            /**
+             * The type of input messages. Always `template`.
+             */
+            type: 'template';
+        }
+        namespace Template {
+            interface ChatMessage {
+                /**
+                 * The content of the message.
+                 */
+                content: string;
+                /**
+                 * The role of the message (e.g. "system", "assistant", "user").
+                 */
+                role: string;
+            }
+            /**
+             * A message input to the model with a role indicating instruction following
+             * hierarchy. Instructions given with the `developer` or `system` role take
+             * precedence over instructions given with the `user` role. Messages with the
+             * `assistant` role are presumed to have been generated by the model in previous
+             * interactions.
+             */
+            interface EvalItem {
+                /**
+                 * Inputs to the model - can contain template strings.
+                 */
+                content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText | EvalItem.InputImage | Array<unknown>;
+                /**
+                 * The role of the message input. One of `user`, `assistant`, `system`, or
+                 * `developer`.
+                 */
+                role: 'user' | 'assistant' | 'system' | 'developer';
+                /**
+                 * The type of the message input. Always `message`.
+                 */
+                type?: 'message';
+            }
+            namespace EvalItem {
+                /**
+                 * A text output from the model.
+                 */
+                interface OutputText {
+                    /**
+                     * The text output from the model.
+                     */
+                    text: string;
+                    /**
+                     * The type of the output text. Always `output_text`.
+                     */
+                    type: 'output_text';
+                }
+                /**
+                 * An image input to the model.
+                 */
+                interface InputImage {
+                    /**
+                     * The URL of the image input.
+                     */
+                    image_url: string;
+                    /**
+                     * The type of the image input. Always `input_image`.
+                     */
+                    type: 'input_image';
+                    /**
+                     * The detail level of the image to be sent to the model. One of `high`, `low`, or
+                     * `auto`. Defaults to `auto`.
+                     */
+                    detail?: string;
+                }
+            }
+        }
+        interface ItemReference {
+            /**
+             * A reference to a variable in the `item` namespace. Ie, "item.name"
+             */
+            item_reference: string;
+            /**
+             * The type of input messages. Always `item_reference`.
+             */
+            type: 'item_reference';
+        }
+        interface SamplingParams {
+            /**
+             * The maximum number of tokens in the generated output.
+             */
+            max_completion_tokens?: number;
+            /**
+             * A seed value to initialize the randomness, during sampling.
+             */
+            seed?: number;
+            /**
+             * A higher temperature increases randomness in the outputs.
+             */
+            temperature?: number;
+            /**
+             * Configuration options for a text response from the model. Can be plain text or
+             * structured JSON data. Learn more:
+             *
+             * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+             * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+             */
+            text?: SamplingParams.Text;
+            /**
+             * An array of tools the model may call while generating a response. You can
+             * specify which tool to use by setting the `tool_choice` parameter.
+             *
+             * The two categories of tools you can provide the model are:
+             *
+             * - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+             *   capabilities, like
+             *   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+             *   [file search](https://platform.openai.com/docs/guides/tools-file-search).
+             *   Learn more about
+             *   [built-in tools](https://platform.openai.com/docs/guides/tools).
+             * - **Function calls (custom tools)**: Functions that are defined by you, enabling
+             *   the model to call your own code. Learn more about
+             *   [function calling](https://platform.openai.com/docs/guides/function-calling).
+             */
+            tools?: Array<ResponsesAPI.Tool>;
+            /**
+             * An alternative to temperature for nucleus sampling; 1.0 includes all tokens.
+             */
+            top_p?: number;
+        }
+        namespace SamplingParams {
+            /**
+             * Configuration options for a text response from the model. Can be plain text or
+             * structured JSON data. Learn more:
+             *
+             * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+             * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+             */
+            interface Text {
+                /**
+                 * An object specifying the format that the model must output.
+                 *
+                 * Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
+                 * ensures the model will match your supplied JSON schema. Learn more in the
+                 * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+                 *
+                 * The default format is `{ "type": "text" }` with no additional options.
+                 *
+                 * **Not recommended for gpt-4o and newer models:**
+                 *
+                 * Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+                 * ensures the message the model generates is valid JSON. Using `json_schema` is
+                 * preferred for models that support it.
+                 */
+                format?: ResponsesAPI.ResponseFormatTextConfig;
+            }
+        }
+    }
+    interface PerModelUsage {
+        /**
+         * The number of tokens retrieved from cache.
+         */
+        cached_tokens: number;
+        /**
+         * The number of completion tokens generated.
+         */
+        completion_tokens: number;
+        /**
+         * The number of invocations.
+         */
+        invocation_count: number;
+        /**
+         * The name of the model.
+         */
+        model_name: string;
+        /**
+         * The number of prompt tokens used.
+         */
+        prompt_tokens: number;
+        /**
+         * The total number of tokens used.
+         */
+        total_tokens: number;
+    }
+    interface PerTestingCriteriaResult {
+        /**
+         * Number of tests failed for this criteria.
+         */
+        failed: number;
+        /**
+         * Number of tests passed for this criteria.
+         */
+        passed: number;
+        /**
+         * A description of the testing criteria.
+         */
+        testing_criteria: string;
+    }
+    /**
+     * Counters summarizing the outcomes of the evaluation run.
+     */
+    interface ResultCounts {
+        /**
+         * Number of output items that resulted in an error.
+         */
+        errored: number;
+        /**
+         * Number of output items that failed to pass the evaluation.
+         */
+        failed: number;
+        /**
+         * Number of output items that passed the evaluation.
+         */
+        passed: number;
+        /**
+         * Total number of executed output items.
+         */
+        total: number;
+    }
+}
+/**
+ * A schema representing an evaluation run.
+ */
+export interface RunListResponse {
+    /**
+     * Unique identifier for the evaluation run.
+     */
+    id: string;
+    /**
+     * Unix timestamp (in seconds) when the evaluation run was created.
+     */
+    created_at: number;
+    /**
+     * Information about the run's data source.
+     */
+    data_source: CreateEvalJSONLRunDataSource | CreateEvalCompletionsRunDataSource | RunListResponse.Responses;
+    /**
+     * An object representing an error response from the Eval API.
+     */
+    error: EvalAPIError;
+    /**
+     * The identifier of the associated evaluation.
+     */
+    eval_id: string;
+    /**
+     * 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 model that is evaluated, if applicable.
+     */
+    model: string;
+    /**
+     * The name of the evaluation run.
+     */
+    name: string;
+    /**
+     * The type of the object. Always "eval.run".
+     */
+    object: 'eval.run';
+    /**
+     * Usage statistics for each model during the evaluation run.
+     */
+    per_model_usage: Array<RunListResponse.PerModelUsage>;
+    /**
+     * Results per testing criteria applied during the evaluation run.
+     */
+    per_testing_criteria_results: Array<RunListResponse.PerTestingCriteriaResult>;
+    /**
+     * The URL to the rendered evaluation run report on the UI dashboard.
+     */
+    report_url: string;
+    /**
+     * Counters summarizing the outcomes of the evaluation run.
+     */
+    result_counts: RunListResponse.ResultCounts;
+    /**
+     * The status of the evaluation run.
+     */
+    status: string;
+}
+export declare namespace RunListResponse {
+    /**
+     * A ResponsesRunDataSource object describing a model sampling configuration.
+     */
+    interface Responses {
+        /**
+         * Determines what populates the `item` namespace in this run's data source.
+         */
+        source: Responses.FileContent | Responses.FileID | Responses.Responses;
+        /**
+         * The type of run data source. Always `responses`.
+         */
+        type: 'responses';
+        /**
+         * Used when sampling from a model. Dictates the structure of the messages passed
+         * into the model. Can either be a reference to a prebuilt trajectory (ie,
+         * `item.input_trajectory`), or a template with variable references to the `item`
+         * namespace.
+         */
+        input_messages?: Responses.Template | Responses.ItemReference;
+        /**
+         * The name of the model to use for generating completions (e.g. "o3-mini").
+         */
+        model?: string;
+        sampling_params?: Responses.SamplingParams;
+    }
+    namespace Responses {
+        interface FileContent {
+            /**
+             * The content of the jsonl file.
+             */
+            content: Array<FileContent.Content>;
+            /**
+             * The type of jsonl source. Always `file_content`.
+             */
+            type: 'file_content';
+        }
+        namespace FileContent {
+            interface Content {
+                item: {
+                    [key: string]: unknown;
+                };
+                sample?: {
+                    [key: string]: unknown;
+                };
+            }
+        }
+        interface FileID {
+            /**
+             * The identifier of the file.
+             */
+            id: string;
+            /**
+             * The type of jsonl source. Always `file_id`.
+             */
+            type: 'file_id';
+        }
+        /**
+         * A EvalResponsesSource object describing a run data source configuration.
+         */
+        interface Responses {
+            /**
+             * The type of run data source. Always `responses`.
+             */
+            type: 'responses';
+            /**
+             * Only include items created after this timestamp (inclusive). This is a query
+             * parameter used to select responses.
+             */
+            created_after?: number | null;
+            /**
+             * Only include items created before this timestamp (inclusive). This is a query
+             * parameter used to select responses.
+             */
+            created_before?: number | null;
+            /**
+             * Optional string to search the 'instructions' field. This is a query parameter
+             * used to select responses.
+             */
+            instructions_search?: string | null;
+            /**
+             * Metadata filter for the responses. This is a query parameter used to select
+             * responses.
+             */
+            metadata?: unknown | null;
+            /**
+             * The name of the model to find responses for. This is a query parameter used to
+             * select responses.
+             */
+            model?: string | null;
+            /**
+             * Optional reasoning effort parameter. This is a query parameter used to select
+             * responses.
+             */
+            reasoning_effort?: Shared.ReasoningEffort | null;
+            /**
+             * Sampling temperature. This is a query parameter used to select responses.
+             */
+            temperature?: number | null;
+            /**
+             * List of tool names. This is a query parameter used to select responses.
+             */
+            tools?: Array<string> | null;
+            /**
+             * Nucleus sampling parameter. This is a query parameter used to select responses.
+             */
+            top_p?: number | null;
+            /**
+             * List of user identifiers. This is a query parameter used to select responses.
+             */
+            users?: Array<string> | null;
+        }
+        interface Template {
+            /**
+             * A list of chat messages forming the prompt or context. May include variable
+             * references to the `item` namespace, ie {{item.name}}.
+             */
+            template: Array<Template.ChatMessage | Template.EvalItem>;
+            /**
+             * The type of input messages. Always `template`.
+             */
+            type: 'template';
+        }
+        namespace Template {
+            interface ChatMessage {
+                /**
+                 * The content of the message.
+                 */
+                content: string;
+                /**
+                 * The role of the message (e.g. "system", "assistant", "user").
+                 */
+                role: string;
+            }
+            /**
+             * A message input to the model with a role indicating instruction following
+             * hierarchy. Instructions given with the `developer` or `system` role take
+             * precedence over instructions given with the `user` role. Messages with the
+             * `assistant` role are presumed to have been generated by the model in previous
+             * interactions.
+             */
+            interface EvalItem {
+                /**
+                 * Inputs to the model - can contain template strings.
+                 */
+                content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText | EvalItem.InputImage | Array<unknown>;
+                /**
+                 * The role of the message input. One of `user`, `assistant`, `system`, or
+                 * `developer`.
+                 */
+                role: 'user' | 'assistant' | 'system' | 'developer';
+                /**
+                 * The type of the message input. Always `message`.
+                 */
+                type?: 'message';
+            }
+            namespace EvalItem {
+                /**
+                 * A text output from the model.
+                 */
+                interface OutputText {
+                    /**
+                     * The text output from the model.
+                     */
+                    text: string;
+                    /**
+                     * The type of the output text. Always `output_text`.
+                     */
+                    type: 'output_text';
+                }
+                /**
+                 * An image input to the model.
+                 */
+                interface InputImage {
+                    /**
+                     * The URL of the image input.
+                     */
+                    image_url: string;
+                    /**
+                     * The type of the image input. Always `input_image`.
+                     */
+                    type: 'input_image';
+                    /**
+                     * The detail level of the image to be sent to the model. One of `high`, `low`, or
+                     * `auto`. Defaults to `auto`.
+                     */
+                    detail?: string;
+                }
+            }
+        }
+        interface ItemReference {
+            /**
+             * A reference to a variable in the `item` namespace. Ie, "item.name"
+             */
+            item_reference: string;
+            /**
+             * The type of input messages. Always `item_reference`.
+             */
+            type: 'item_reference';
+        }
+        interface SamplingParams {
+            /**
+             * The maximum number of tokens in the generated output.
+             */
+            max_completion_tokens?: number;
+            /**
+             * A seed value to initialize the randomness, during sampling.
+             */
+            seed?: number;
+            /**
+             * A higher temperature increases randomness in the outputs.
+             */
+            temperature?: number;
+            /**
+             * Configuration options for a text response from the model. Can be plain text or
+             * structured JSON data. Learn more:
+             *
+             * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+             * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+             */
+            text?: SamplingParams.Text;
+            /**
+             * An array of tools the model may call while generating a response. You can
+             * specify which tool to use by setting the `tool_choice` parameter.
+             *
+             * The two categories of tools you can provide the model are:
+             *
+             * - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+             *   capabilities, like
+             *   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+             *   [file search](https://platform.openai.com/docs/guides/tools-file-search).
+             *   Learn more about
+             *   [built-in tools](https://platform.openai.com/docs/guides/tools).
+             * - **Function calls (custom tools)**: Functions that are defined by you, enabling
+             *   the model to call your own code. Learn more about
+             *   [function calling](https://platform.openai.com/docs/guides/function-calling).
+             */
+            tools?: Array<ResponsesAPI.Tool>;
+            /**
+             * An alternative to temperature for nucleus sampling; 1.0 includes all tokens.
+             */
+            top_p?: number;
+        }
+        namespace SamplingParams {
+            /**
+             * Configuration options for a text response from the model. Can be plain text or
+             * structured JSON data. Learn more:
+             *
+             * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+             * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+             */
+            interface Text {
+                /**
+                 * An object specifying the format that the model must output.
+                 *
+                 * Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
+                 * ensures the model will match your supplied JSON schema. Learn more in the
+                 * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+                 *
+                 * The default format is `{ "type": "text" }` with no additional options.
+                 *
+                 * **Not recommended for gpt-4o and newer models:**
+                 *
+                 * Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+                 * ensures the message the model generates is valid JSON. Using `json_schema` is
+                 * preferred for models that support it.
+                 */
+                format?: ResponsesAPI.ResponseFormatTextConfig;
+            }
+        }
+    }
+    interface PerModelUsage {
+        /**
+         * The number of tokens retrieved from cache.
+         */
+        cached_tokens: number;
+        /**
+         * The number of completion tokens generated.
+         */
+        completion_tokens: number;
+        /**
+         * The number of invocations.
+         */
+        invocation_count: number;
+        /**
+         * The name of the model.
+         */
+        model_name: string;
+        /**
+         * The number of prompt tokens used.
+         */
+        prompt_tokens: number;
+        /**
+         * The total number of tokens used.
+         */
+        total_tokens: number;
+    }
+    interface PerTestingCriteriaResult {
+        /**
+         * Number of tests failed for this criteria.
+         */
+        failed: number;
+        /**
+         * Number of tests passed for this criteria.
+         */
+        passed: number;
+        /**
+         * A description of the testing criteria.
+         */
+        testing_criteria: string;
+    }
+    /**
+     * Counters summarizing the outcomes of the evaluation run.
+     */
+    interface ResultCounts {
+        /**
+         * Number of output items that resulted in an error.
+         */
+        errored: number;
+        /**
+         * Number of output items that failed to pass the evaluation.
+         */
+        failed: number;
+        /**
+         * Number of output items that passed the evaluation.
+         */
+        passed: number;
+        /**
+         * Total number of executed output items.
+         */
+        total: number;
+    }
+}
+export interface RunDeleteResponse {
+    deleted?: boolean;
+    object?: string;
+    run_id?: string;
+}
+/**
+ * A schema representing an evaluation run.
+ */
+export interface RunCancelResponse {
+    /**
+     * Unique identifier for the evaluation run.
+     */
+    id: string;
+    /**
+     * Unix timestamp (in seconds) when the evaluation run was created.
+     */
+    created_at: number;
+    /**
+     * Information about the run's data source.
+     */
+    data_source: CreateEvalJSONLRunDataSource | CreateEvalCompletionsRunDataSource | RunCancelResponse.Responses;
+    /**
+     * An object representing an error response from the Eval API.
+     */
+    error: EvalAPIError;
+    /**
+     * The identifier of the associated evaluation.
+     */
+    eval_id: string;
+    /**
+     * 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 model that is evaluated, if applicable.
+     */
+    model: string;
+    /**
+     * The name of the evaluation run.
+     */
+    name: string;
+    /**
+     * The type of the object. Always "eval.run".
+     */
+    object: 'eval.run';
+    /**
+     * Usage statistics for each model during the evaluation run.
+     */
+    per_model_usage: Array<RunCancelResponse.PerModelUsage>;
+    /**
+     * Results per testing criteria applied during the evaluation run.
+     */
+    per_testing_criteria_results: Array<RunCancelResponse.PerTestingCriteriaResult>;
+    /**
+     * The URL to the rendered evaluation run report on the UI dashboard.
+     */
+    report_url: string;
+    /**
+     * Counters summarizing the outcomes of the evaluation run.
+     */
+    result_counts: RunCancelResponse.ResultCounts;
+    /**
+     * The status of the evaluation run.
+     */
+    status: string;
+}
+export declare namespace RunCancelResponse {
+    /**
+     * A ResponsesRunDataSource object describing a model sampling configuration.
+     */
+    interface Responses {
+        /**
+         * Determines what populates the `item` namespace in this run's data source.
+         */
+        source: Responses.FileContent | Responses.FileID | Responses.Responses;
+        /**
+         * The type of run data source. Always `responses`.
+         */
+        type: 'responses';
+        /**
+         * Used when sampling from a model. Dictates the structure of the messages passed
+         * into the model. Can either be a reference to a prebuilt trajectory (ie,
+         * `item.input_trajectory`), or a template with variable references to the `item`
+         * namespace.
+         */
+        input_messages?: Responses.Template | Responses.ItemReference;
+        /**
+         * The name of the model to use for generating completions (e.g. "o3-mini").
+         */
+        model?: string;
+        sampling_params?: Responses.SamplingParams;
+    }
+    namespace Responses {
+        interface FileContent {
+            /**
+             * The content of the jsonl file.
+             */
+            content: Array<FileContent.Content>;
+            /**
+             * The type of jsonl source. Always `file_content`.
+             */
+            type: 'file_content';
+        }
+        namespace FileContent {
+            interface Content {
+                item: {
+                    [key: string]: unknown;
+                };
+                sample?: {
+                    [key: string]: unknown;
+                };
+            }
+        }
+        interface FileID {
+            /**
+             * The identifier of the file.
+             */
+            id: string;
+            /**
+             * The type of jsonl source. Always `file_id`.
+             */
+            type: 'file_id';
+        }
+        /**
+         * A EvalResponsesSource object describing a run data source configuration.
+         */
+        interface Responses {
+            /**
+             * The type of run data source. Always `responses`.
+             */
+            type: 'responses';
+            /**
+             * Only include items created after this timestamp (inclusive). This is a query
+             * parameter used to select responses.
+             */
+            created_after?: number | null;
+            /**
+             * Only include items created before this timestamp (inclusive). This is a query
+             * parameter used to select responses.
+             */
+            created_before?: number | null;
+            /**
+             * Optional string to search the 'instructions' field. This is a query parameter
+             * used to select responses.
+             */
+            instructions_search?: string | null;
+            /**
+             * Metadata filter for the responses. This is a query parameter used to select
+             * responses.
+             */
+            metadata?: unknown | null;
+            /**
+             * The name of the model to find responses for. This is a query parameter used to
+             * select responses.
+             */
+            model?: string | null;
+            /**
+             * Optional reasoning effort parameter. This is a query parameter used to select
+             * responses.
+             */
+            reasoning_effort?: Shared.ReasoningEffort | null;
+            /**
+             * Sampling temperature. This is a query parameter used to select responses.
+             */
+            temperature?: number | null;
+            /**
+             * List of tool names. This is a query parameter used to select responses.
+             */
+            tools?: Array<string> | null;
+            /**
+             * Nucleus sampling parameter. This is a query parameter used to select responses.
+             */
+            top_p?: number | null;
+            /**
+             * List of user identifiers. This is a query parameter used to select responses.
+             */
+            users?: Array<string> | null;
+        }
+        interface Template {
+            /**
+             * A list of chat messages forming the prompt or context. May include variable
+             * references to the `item` namespace, ie {{item.name}}.
+             */
+            template: Array<Template.ChatMessage | Template.EvalItem>;
+            /**
+             * The type of input messages. Always `template`.
+             */
+            type: 'template';
+        }
+        namespace Template {
+            interface ChatMessage {
+                /**
+                 * The content of the message.
+                 */
+                content: string;
+                /**
+                 * The role of the message (e.g. "system", "assistant", "user").
+                 */
+                role: string;
+            }
+            /**
+             * A message input to the model with a role indicating instruction following
+             * hierarchy. Instructions given with the `developer` or `system` role take
+             * precedence over instructions given with the `user` role. Messages with the
+             * `assistant` role are presumed to have been generated by the model in previous
+             * interactions.
+             */
+            interface EvalItem {
+                /**
+                 * Inputs to the model - can contain template strings.
+                 */
+                content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText | EvalItem.InputImage | Array<unknown>;
+                /**
+                 * The role of the message input. One of `user`, `assistant`, `system`, or
+                 * `developer`.
+                 */
+                role: 'user' | 'assistant' | 'system' | 'developer';
+                /**
+                 * The type of the message input. Always `message`.
+                 */
+                type?: 'message';
+            }
+            namespace EvalItem {
+                /**
+                 * A text output from the model.
+                 */
+                interface OutputText {
+                    /**
+                     * The text output from the model.
+                     */
+                    text: string;
+                    /**
+                     * The type of the output text. Always `output_text`.
+                     */
+                    type: 'output_text';
+                }
+                /**
+                 * An image input to the model.
+                 */
+                interface InputImage {
+                    /**
+                     * The URL of the image input.
+                     */
+                    image_url: string;
+                    /**
+                     * The type of the image input. Always `input_image`.
+                     */
+                    type: 'input_image';
+                    /**
+                     * The detail level of the image to be sent to the model. One of `high`, `low`, or
+                     * `auto`. Defaults to `auto`.
+                     */
+                    detail?: string;
+                }
+            }
+        }
+        interface ItemReference {
+            /**
+             * A reference to a variable in the `item` namespace. Ie, "item.name"
+             */
+            item_reference: string;
+            /**
+             * The type of input messages. Always `item_reference`.
+             */
+            type: 'item_reference';
+        }
+        interface SamplingParams {
+            /**
+             * The maximum number of tokens in the generated output.
+             */
+            max_completion_tokens?: number;
+            /**
+             * A seed value to initialize the randomness, during sampling.
+             */
+            seed?: number;
+            /**
+             * A higher temperature increases randomness in the outputs.
+             */
+            temperature?: number;
+            /**
+             * Configuration options for a text response from the model. Can be plain text or
+             * structured JSON data. Learn more:
+             *
+             * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+             * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+             */
+            text?: SamplingParams.Text;
+            /**
+             * An array of tools the model may call while generating a response. You can
+             * specify which tool to use by setting the `tool_choice` parameter.
+             *
+             * The two categories of tools you can provide the model are:
+             *
+             * - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+             *   capabilities, like
+             *   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+             *   [file search](https://platform.openai.com/docs/guides/tools-file-search).
+             *   Learn more about
+             *   [built-in tools](https://platform.openai.com/docs/guides/tools).
+             * - **Function calls (custom tools)**: Functions that are defined by you, enabling
+             *   the model to call your own code. Learn more about
+             *   [function calling](https://platform.openai.com/docs/guides/function-calling).
+             */
+            tools?: Array<ResponsesAPI.Tool>;
+            /**
+             * An alternative to temperature for nucleus sampling; 1.0 includes all tokens.
+             */
+            top_p?: number;
+        }
+        namespace SamplingParams {
+            /**
+             * Configuration options for a text response from the model. Can be plain text or
+             * structured JSON data. Learn more:
+             *
+             * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+             * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+             */
+            interface Text {
+                /**
+                 * An object specifying the format that the model must output.
+                 *
+                 * Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
+                 * ensures the model will match your supplied JSON schema. Learn more in the
+                 * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+                 *
+                 * The default format is `{ "type": "text" }` with no additional options.
+                 *
+                 * **Not recommended for gpt-4o and newer models:**
+                 *
+                 * Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+                 * ensures the message the model generates is valid JSON. Using `json_schema` is
+                 * preferred for models that support it.
+                 */
+                format?: ResponsesAPI.ResponseFormatTextConfig;
+            }
+        }
+    }
+    interface PerModelUsage {
+        /**
+         * The number of tokens retrieved from cache.
+         */
+        cached_tokens: number;
+        /**
+         * The number of completion tokens generated.
+         */
+        completion_tokens: number;
+        /**
+         * The number of invocations.
+         */
+        invocation_count: number;
+        /**
+         * The name of the model.
+         */
+        model_name: string;
+        /**
+         * The number of prompt tokens used.
+         */
+        prompt_tokens: number;
+        /**
+         * The total number of tokens used.
+         */
+        total_tokens: number;
+    }
+    interface PerTestingCriteriaResult {
+        /**
+         * Number of tests failed for this criteria.
+         */
+        failed: number;
+        /**
+         * Number of tests passed for this criteria.
+         */
+        passed: number;
+        /**
+         * A description of the testing criteria.
+         */
+        testing_criteria: string;
+    }
+    /**
+     * Counters summarizing the outcomes of the evaluation run.
+     */
+    interface ResultCounts {
+        /**
+         * Number of output items that resulted in an error.
+         */
+        errored: number;
+        /**
+         * Number of output items that failed to pass the evaluation.
+         */
+        failed: number;
+        /**
+         * Number of output items that passed the evaluation.
+         */
+        passed: number;
+        /**
+         * Total number of executed output items.
+         */
+        total: number;
+    }
+}
+export interface RunCreateParams {
+    /**
+     * Details about the run's data source.
+     */
+    data_source: CreateEvalJSONLRunDataSource | CreateEvalCompletionsRunDataSource | RunCreateParams.CreateEvalResponsesRunDataSource;
+    /**
+     * 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 name of the run.
+     */
+    name?: string;
+}
+export declare namespace RunCreateParams {
+    /**
+     * A ResponsesRunDataSource object describing a model sampling configuration.
+     */
+    interface CreateEvalResponsesRunDataSource {
+        /**
+         * Determines what populates the `item` namespace in this run's data source.
+         */
+        source: CreateEvalResponsesRunDataSource.FileContent | CreateEvalResponsesRunDataSource.FileID | CreateEvalResponsesRunDataSource.Responses;
+        /**
+         * The type of run data source. Always `responses`.
+         */
+        type: 'responses';
+        /**
+         * Used when sampling from a model. Dictates the structure of the messages passed
+         * into the model. Can either be a reference to a prebuilt trajectory (ie,
+         * `item.input_trajectory`), or a template with variable references to the `item`
+         * namespace.
+         */
+        input_messages?: CreateEvalResponsesRunDataSource.Template | CreateEvalResponsesRunDataSource.ItemReference;
+        /**
+         * The name of the model to use for generating completions (e.g. "o3-mini").
+         */
+        model?: string;
+        sampling_params?: CreateEvalResponsesRunDataSource.SamplingParams;
+    }
+    namespace CreateEvalResponsesRunDataSource {
+        interface FileContent {
+            /**
+             * The content of the jsonl file.
+             */
+            content: Array<FileContent.Content>;
+            /**
+             * The type of jsonl source. Always `file_content`.
+             */
+            type: 'file_content';
+        }
+        namespace FileContent {
+            interface Content {
+                item: {
+                    [key: string]: unknown;
+                };
+                sample?: {
+                    [key: string]: unknown;
+                };
+            }
+        }
+        interface FileID {
+            /**
+             * The identifier of the file.
+             */
+            id: string;
+            /**
+             * The type of jsonl source. Always `file_id`.
+             */
+            type: 'file_id';
+        }
+        /**
+         * A EvalResponsesSource object describing a run data source configuration.
+         */
+        interface Responses {
+            /**
+             * The type of run data source. Always `responses`.
+             */
+            type: 'responses';
+            /**
+             * Only include items created after this timestamp (inclusive). This is a query
+             * parameter used to select responses.
+             */
+            created_after?: number | null;
+            /**
+             * Only include items created before this timestamp (inclusive). This is a query
+             * parameter used to select responses.
+             */
+            created_before?: number | null;
+            /**
+             * Optional string to search the 'instructions' field. This is a query parameter
+             * used to select responses.
+             */
+            instructions_search?: string | null;
+            /**
+             * Metadata filter for the responses. This is a query parameter used to select
+             * responses.
+             */
+            metadata?: unknown | null;
+            /**
+             * The name of the model to find responses for. This is a query parameter used to
+             * select responses.
+             */
+            model?: string | null;
+            /**
+             * Optional reasoning effort parameter. This is a query parameter used to select
+             * responses.
+             */
+            reasoning_effort?: Shared.ReasoningEffort | null;
+            /**
+             * Sampling temperature. This is a query parameter used to select responses.
+             */
+            temperature?: number | null;
+            /**
+             * List of tool names. This is a query parameter used to select responses.
+             */
+            tools?: Array<string> | null;
+            /**
+             * Nucleus sampling parameter. This is a query parameter used to select responses.
+             */
+            top_p?: number | null;
+            /**
+             * List of user identifiers. This is a query parameter used to select responses.
+             */
+            users?: Array<string> | null;
+        }
+        interface Template {
+            /**
+             * A list of chat messages forming the prompt or context. May include variable
+             * references to the `item` namespace, ie {{item.name}}.
+             */
+            template: Array<Template.ChatMessage | Template.EvalItem>;
+            /**
+             * The type of input messages. Always `template`.
+             */
+            type: 'template';
+        }
+        namespace Template {
+            interface ChatMessage {
+                /**
+                 * The content of the message.
+                 */
+                content: string;
+                /**
+                 * The role of the message (e.g. "system", "assistant", "user").
+                 */
+                role: string;
+            }
+            /**
+             * A message input to the model with a role indicating instruction following
+             * hierarchy. Instructions given with the `developer` or `system` role take
+             * precedence over instructions given with the `user` role. Messages with the
+             * `assistant` role are presumed to have been generated by the model in previous
+             * interactions.
+             */
+            interface EvalItem {
+                /**
+                 * Inputs to the model - can contain template strings.
+                 */
+                content: string | ResponsesAPI.ResponseInputText | EvalItem.OutputText | EvalItem.InputImage | Array<unknown>;
+                /**
+                 * The role of the message input. One of `user`, `assistant`, `system`, or
+                 * `developer`.
+                 */
+                role: 'user' | 'assistant' | 'system' | 'developer';
+                /**
+                 * The type of the message input. Always `message`.
+                 */
+                type?: 'message';
+            }
+            namespace EvalItem {
+                /**
+                 * A text output from the model.
+                 */
+                interface OutputText {
+                    /**
+                     * The text output from the model.
+                     */
+                    text: string;
+                    /**
+                     * The type of the output text. Always `output_text`.
+                     */
+                    type: 'output_text';
+                }
+                /**
+                 * An image input to the model.
+                 */
+                interface InputImage {
+                    /**
+                     * The URL of the image input.
+                     */
+                    image_url: string;
+                    /**
+                     * The type of the image input. Always `input_image`.
+                     */
+                    type: 'input_image';
+                    /**
+                     * The detail level of the image to be sent to the model. One of `high`, `low`, or
+                     * `auto`. Defaults to `auto`.
+                     */
+                    detail?: string;
+                }
+            }
+        }
+        interface ItemReference {
+            /**
+             * A reference to a variable in the `item` namespace. Ie, "item.name"
+             */
+            item_reference: string;
+            /**
+             * The type of input messages. Always `item_reference`.
+             */
+            type: 'item_reference';
+        }
+        interface SamplingParams {
+            /**
+             * The maximum number of tokens in the generated output.
+             */
+            max_completion_tokens?: number;
+            /**
+             * A seed value to initialize the randomness, during sampling.
+             */
+            seed?: number;
+            /**
+             * A higher temperature increases randomness in the outputs.
+             */
+            temperature?: number;
+            /**
+             * Configuration options for a text response from the model. Can be plain text or
+             * structured JSON data. Learn more:
+             *
+             * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+             * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+             */
+            text?: SamplingParams.Text;
+            /**
+             * An array of tools the model may call while generating a response. You can
+             * specify which tool to use by setting the `tool_choice` parameter.
+             *
+             * The two categories of tools you can provide the model are:
+             *
+             * - **Built-in tools**: Tools that are provided by OpenAI that extend the model's
+             *   capabilities, like
+             *   [web search](https://platform.openai.com/docs/guides/tools-web-search) or
+             *   [file search](https://platform.openai.com/docs/guides/tools-file-search).
+             *   Learn more about
+             *   [built-in tools](https://platform.openai.com/docs/guides/tools).
+             * - **Function calls (custom tools)**: Functions that are defined by you, enabling
+             *   the model to call your own code. Learn more about
+             *   [function calling](https://platform.openai.com/docs/guides/function-calling).
+             */
+            tools?: Array<ResponsesAPI.Tool>;
+            /**
+             * An alternative to temperature for nucleus sampling; 1.0 includes all tokens.
+             */
+            top_p?: number;
+        }
+        namespace SamplingParams {
+            /**
+             * Configuration options for a text response from the model. Can be plain text or
+             * structured JSON data. Learn more:
+             *
+             * - [Text inputs and outputs](https://platform.openai.com/docs/guides/text)
+             * - [Structured Outputs](https://platform.openai.com/docs/guides/structured-outputs)
+             */
+            interface Text {
+                /**
+                 * An object specifying the format that the model must output.
+                 *
+                 * Configuring `{ "type": "json_schema" }` enables Structured Outputs, which
+                 * ensures the model will match your supplied JSON schema. Learn more in the
+                 * [Structured Outputs guide](https://platform.openai.com/docs/guides/structured-outputs).
+                 *
+                 * The default format is `{ "type": "text" }` with no additional options.
+                 *
+                 * **Not recommended for gpt-4o and newer models:**
+                 *
+                 * Setting to `{ "type": "json_object" }` enables the older JSON mode, which
+                 * ensures the message the model generates is valid JSON. Using `json_schema` is
+                 * preferred for models that support it.
+                 */
+                format?: ResponsesAPI.ResponseFormatTextConfig;
+            }
+        }
+    }
+}
+export interface RunRetrieveParams {
+    /**
+     * The ID of the evaluation to retrieve runs for.
+     */
+    eval_id: string;
+}
+export interface RunListParams extends CursorPageParams {
+    /**
+     * Sort order for runs by timestamp. Use `asc` for ascending order or `desc` for
+     * descending order. Defaults to `asc`.
+     */
+    order?: 'asc' | 'desc';
+    /**
+     * Filter runs by status. One of `queued` | `in_progress` | `failed` | `completed`
+     * | `canceled`.
+     */
+    status?: 'queued' | 'in_progress' | 'completed' | 'canceled' | 'failed';
+}
+export interface RunDeleteParams {
+    /**
+     * The ID of the evaluation to delete the run from.
+     */
+    eval_id: string;
+}
+export interface RunCancelParams {
+    /**
+     * The ID of the evaluation whose run you want to cancel.
+     */
+    eval_id: string;
+}
+export declare namespace Runs {
+    export { type CreateEvalCompletionsRunDataSource as CreateEvalCompletionsRunDataSource, type CreateEvalJSONLRunDataSource as CreateEvalJSONLRunDataSource, type EvalAPIError as EvalAPIError, type RunCreateResponse as RunCreateResponse, type RunRetrieveResponse as RunRetrieveResponse, type RunListResponse as RunListResponse, type RunDeleteResponse as RunDeleteResponse, type RunCancelResponse as RunCancelResponse, type RunListResponsesPage as RunListResponsesPage, type RunCreateParams as RunCreateParams, type RunRetrieveParams as RunRetrieveParams, type RunListParams as RunListParams, type RunDeleteParams as RunDeleteParams, type RunCancelParams as RunCancelParams, };
+    export { OutputItems as OutputItems, type OutputItemRetrieveResponse as OutputItemRetrieveResponse, type OutputItemListResponse as OutputItemListResponse, type OutputItemListResponsesPage as OutputItemListResponsesPage, type OutputItemRetrieveParams as OutputItemRetrieveParams, type OutputItemListParams as OutputItemListParams, };
+}
+//# sourceMappingURL=runs.d.mts.map

platform/dbops/archive/databases_old/data/home/x/india-h200-1-workspace/claude-code-router/node_modules/openai/resources/evals/runs/runs.d.mts.map

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