import { APIResource } from "../../core/resource.js";
import * as Shared from "../shared.js";
import * as ResponsesAPI from "./responses.js";
import { APIPromise } from "../../core/api-promise.js";
import { RequestOptions } from "../../internal/request-options.js";
export declare class InputTokens extends APIResource {
    /**
     * Get input token counts
     *
     * @example
     * ```ts
     * const response = await client.responses.inputTokens.count();
     * ```
     */
    count(body?: InputTokenCountParams | null | undefined, options?: RequestOptions): APIPromise<InputTokenCountResponse>;
}
export interface InputTokenCountResponse {
    input_tokens: number;
    object: 'response.input_tokens';
}
export interface InputTokenCountParams {
    /**
     * The conversation that this response belongs to. Items from this conversation are
     * prepended to `input_items` for this response request. Input items and output
     * items from this response are automatically added to this conversation after this
     * response completes.
     */
    conversation?: string | ResponsesAPI.ResponseConversationParam | null;
    /**
     * Text, image, or file inputs to the model, used to generate a response
     */
    input?: string | Array<ResponsesAPI.ResponseInputItem> | null;
    /**
     * A system (or developer) message inserted into the model's context. When used
     * along with `previous_response_id`, the instructions from a previous response
     * will not be carried over to the next response. This makes it simple to swap out
     * system (or developer) messages in new responses.
     */
    instructions?: string | null;
    /**
     * 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 | null;
    /**
     * Whether to allow the model to run tool calls in parallel.
     */
    parallel_tool_calls?: boolean | null;
    /**
     * The unique ID of the previous response to the model. Use this to create
     * multi-turn conversations. Learn more about
     * [conversation state](https://platform.openai.com/docs/guides/conversation-state).
     * Cannot be used in conjunction with `conversation`.
     */
    previous_response_id?: string | null;
    /**
     * **gpt-5 and o-series models only** Configuration options for
     * [reasoning models](https://platform.openai.com/docs/guides/reasoning).
     */
    reasoning?: Shared.Reasoning | null;
    /**
     * 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?: InputTokenCountParams.Text | null;
    /**
     * How the model should select which tool (or tools) to use when generating a
     * response. See the `tools` parameter to see how to specify which tools the model
     * can call.
     */
    tool_choice?: ResponsesAPI.ToolChoiceOptions | ResponsesAPI.ToolChoiceAllowed | ResponsesAPI.ToolChoiceTypes | ResponsesAPI.ToolChoiceFunction | ResponsesAPI.ToolChoiceMcp | ResponsesAPI.ToolChoiceCustom | null;
    /**
     * 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.
     */
    tools?: Array<ResponsesAPI.Tool> | null;
    /**
     * The truncation strategy to use for the model response. - `auto`: If the input to
     * this Response exceeds the model's context window size, the model will truncate
     * the response to fit the context window by dropping items from the beginning of
     * the conversation. - `disabled` (default): If the input size will exceed the
     * context window size for a model, the request will fail with a 400 error.
     */
    truncation?: 'auto' | 'disabled';
}
export declare namespace InputTokenCountParams {
    /**
     * 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;
        /**
         * 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;
    }
}
export declare namespace InputTokens {
    export { type InputTokenCountResponse as InputTokenCountResponse, type InputTokenCountParams as InputTokenCountParams, };
}
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