🎯 Major improvements to MissionControl component: - Always keep input field visible and functional after AI responses - Auto-clear input after submitting questions for better UX - Add dynamic visual indicators (first question vs follow-up) - Improve response layout with clear separation and hints - Enable proper chat-like experience for continuous learning 🌟 Additional enhancements: - Better language-specific messaging throughout interface - Clearer visual hierarchy between input and response areas - Intuitive flow that guides users to ask follow-up questions - Maintains responsive design and accessibility 🔧 Technical changes: - Enhanced MissionControl state management - Improved component layout and styling - Better TypeScript integration across components - Updated tsconfig for stricter type checking
81 lines
3.2 KiB
JavaScript
81 lines
3.2 KiB
JavaScript
"use strict";
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// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
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var __createBinding = (this && this.__createBinding) || (Object.create ? (function(o, m, k, k2) {
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if (k2 === undefined) k2 = k;
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var desc = Object.getOwnPropertyDescriptor(m, k);
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if (!desc || ("get" in desc ? !m.__esModule : desc.writable || desc.configurable)) {
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desc = { enumerable: true, get: function() { return m[k]; } };
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}
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Object.defineProperty(o, k2, desc);
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}) : (function(o, m, k, k2) {
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if (k2 === undefined) k2 = k;
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o[k2] = m[k];
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}));
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var __setModuleDefault = (this && this.__setModuleDefault) || (Object.create ? (function(o, v) {
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Object.defineProperty(o, "default", { enumerable: true, value: v });
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}) : function(o, v) {
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o["default"] = v;
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});
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var __importStar = (this && this.__importStar) || function (mod) {
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if (mod && mod.__esModule) return mod;
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var result = {};
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if (mod != null) for (var k in mod) if (k !== "default" && Object.prototype.hasOwnProperty.call(mod, k)) __createBinding(result, mod, k);
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__setModuleDefault(result, mod);
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return result;
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};
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.EvalListResponsesPage = exports.Evals = void 0;
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const resource_1 = require("../../resource.js");
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const core_1 = require("../../core.js");
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const RunsAPI = __importStar(require("./runs/runs.js"));
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const runs_1 = require("./runs/runs.js");
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const pagination_1 = require("../../pagination.js");
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class Evals extends resource_1.APIResource {
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constructor() {
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super(...arguments);
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this.runs = new RunsAPI.Runs(this._client);
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}
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/**
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* Create the structure of an evaluation that can be used to test a model's
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* performance. An evaluation is a set of testing criteria and the config for a
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* data source, which dictates the schema of the data used in the evaluation. After
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* creating an evaluation, you can run it on different models and model parameters.
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* We support several types of graders and datasources. For more information, see
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* the [Evals guide](https://platform.openai.com/docs/guides/evals).
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*/
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create(body, options) {
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return this._client.post('/evals', { body, ...options });
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}
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/**
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* Get an evaluation by ID.
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*/
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retrieve(evalId, options) {
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return this._client.get(`/evals/${evalId}`, options);
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}
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/**
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* Update certain properties of an evaluation.
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*/
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update(evalId, body, options) {
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return this._client.post(`/evals/${evalId}`, { body, ...options });
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}
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list(query = {}, options) {
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if ((0, core_1.isRequestOptions)(query)) {
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return this.list({}, query);
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}
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return this._client.getAPIList('/evals', EvalListResponsesPage, { query, ...options });
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}
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/**
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* Delete an evaluation.
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*/
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del(evalId, options) {
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return this._client.delete(`/evals/${evalId}`, options);
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}
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}
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exports.Evals = Evals;
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class EvalListResponsesPage extends pagination_1.CursorPage {
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}
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exports.EvalListResponsesPage = EvalListResponsesPage;
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Evals.EvalListResponsesPage = EvalListResponsesPage;
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Evals.Runs = runs_1.Runs;
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Evals.RunListResponsesPage = runs_1.RunListResponsesPage;
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//# sourceMappingURL=evals.js.map
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