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

"use strict";
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    o["default"] = v;
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    if (mod && mod.__esModule) return mod;
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    __setModuleDefault(result, mod);
    return result;
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.RunsPage = exports.Runs = void 0;
const resource_1 = require("../../../../resource.js");
const core_1 = require("../../../../core.js");
const AssistantStream_1 = require("../../../../lib/AssistantStream.js");
const core_2 = require("../../../../core.js");
const RunsAPI = __importStar(require("./runs.js"));
const StepsAPI = __importStar(require("./steps.js"));
const pagination_1 = require("../../../../pagination.js");
class Runs extends resource_1.APIResource {
    constructor() {
        super(...arguments);
        this.steps = new StepsAPI.Steps(this._client);
    }
    create(threadId, params, options) {
        const { include, ...body } = params;
        return this._client.post(`/threads/${threadId}/runs`, {
            query: { include },
            body,
            ...options,
            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
            stream: params.stream ?? false,
        });
    }
    /**
     * Retrieves a run.
     */
    retrieve(threadId, runId, options) {
        return this._client.get(`/threads/${threadId}/runs/${runId}`, {
            ...options,
            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
        });
    }
    /**
     * Modifies a run.
     */
    update(threadId, runId, body, options) {
        return this._client.post(`/threads/${threadId}/runs/${runId}`, {
            body,
            ...options,
            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
        });
    }
    list(threadId, query = {}, options) {
        if ((0, core_1.isRequestOptions)(query)) {
            return this.list(threadId, {}, query);
        }
        return this._client.getAPIList(`/threads/${threadId}/runs`, RunsPage, {
            query,
            ...options,
            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
        });
    }
    /**
     * Cancels a run that is `in_progress`.
     */
    cancel(threadId, runId, options) {
        return this._client.post(`/threads/${threadId}/runs/${runId}/cancel`, {
            ...options,
            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
        });
    }
    /**
     * A helper to create a run an poll for a terminal state. More information on Run
     * lifecycles can be found here:
     * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
     */
    async createAndPoll(threadId, body, options) {
        const run = await this.create(threadId, body, options);
        return await this.poll(threadId, run.id, options);
    }
    /**
     * Create a Run stream
     *
     * @deprecated use `stream` instead
     */
    createAndStream(threadId, body, options) {
        return AssistantStream_1.AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);
    }
    /**
     * A helper to poll a run status until it reaches a terminal state. More
     * information on Run lifecycles can be found here:
     * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
     */
    async poll(threadId, runId, options) {
        const headers = { ...options?.headers, 'X-Stainless-Poll-Helper': 'true' };
        if (options?.pollIntervalMs) {
            headers['X-Stainless-Custom-Poll-Interval'] = options.pollIntervalMs.toString();
        }
        while (true) {
            const { data: run, response } = await this.retrieve(threadId, runId, {
                ...options,
                headers: { ...options?.headers, ...headers },
            }).withResponse();
            switch (run.status) {
                //If we are in any sort of intermediate state we poll
                case 'queued':
                case 'in_progress':
                case 'cancelling':
                    let sleepInterval = 5000;
                    if (options?.pollIntervalMs) {
                        sleepInterval = options.pollIntervalMs;
                    }
                    else {
                        const headerInterval = response.headers.get('openai-poll-after-ms');
                        if (headerInterval) {
                            const headerIntervalMs = parseInt(headerInterval);
                            if (!isNaN(headerIntervalMs)) {
                                sleepInterval = headerIntervalMs;
                            }
                        }
                    }
                    await (0, core_2.sleep)(sleepInterval);
                    break;
                //We return the run in any terminal state.
                case 'requires_action':
                case 'incomplete':
                case 'cancelled':
                case 'completed':
                case 'failed':
                case 'expired':
                    return run;
            }
        }
    }
    /**
     * Create a Run stream
     */
    stream(threadId, body, options) {
        return AssistantStream_1.AssistantStream.createAssistantStream(threadId, this._client.beta.threads.runs, body, options);
    }
    submitToolOutputs(threadId, runId, body, options) {
        return this._client.post(`/threads/${threadId}/runs/${runId}/submit_tool_outputs`, {
            body,
            ...options,
            headers: { 'OpenAI-Beta': 'assistants=v2', ...options?.headers },
            stream: body.stream ?? false,
        });
    }
    /**
     * A helper to submit a tool output to a run and poll for a terminal run state.
     * More information on Run lifecycles can be found here:
     * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
     */
    async submitToolOutputsAndPoll(threadId, runId, body, options) {
        const run = await this.submitToolOutputs(threadId, runId, body, options);
        return await this.poll(threadId, run.id, options);
    }
    /**
     * Submit the tool outputs from a previous run and stream the run to a terminal
     * state. More information on Run lifecycles can be found here:
     * https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps
     */
    submitToolOutputsStream(threadId, runId, body, options) {
        return AssistantStream_1.AssistantStream.createToolAssistantStream(threadId, runId, this._client.beta.threads.runs, body, options);
    }
}
exports.Runs = Runs;
class RunsPage extends pagination_1.CursorPage {
}
exports.RunsPage = RunsPage;
(function (Runs) {
    Runs.RunsPage = RunsAPI.RunsPage;
    Runs.Steps = StepsAPI.Steps;
    Runs.RunStepsPage = StepsAPI.RunStepsPage;
})(Runs = exports.Runs || (exports.Runs = {}));
//# sourceMappingURL=runs.js.map