2660 lines
107 KiB
JavaScript
2660 lines
107 KiB
JavaScript
"use strict";
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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.Client = exports.DEFAULT_BATCH_SIZE_LIMIT_BYTES = exports.Queue = void 0;
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const uuid = __importStar(require("uuid"));
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const async_caller_js_1 = require("./utils/async_caller.cjs");
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const messages_js_1 = require("./utils/messages.cjs");
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const env_js_1 = require("./utils/env.cjs");
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const index_js_1 = require("./index.cjs");
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const _uuid_js_1 = require("./utils/_uuid.cjs");
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const warn_js_1 = require("./utils/warn.cjs");
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const prompts_js_1 = require("./utils/prompts.cjs");
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const error_js_1 = require("./utils/error.cjs");
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const fetch_js_1 = require("./singletons/fetch.cjs");
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const index_js_2 = require("./utils/fast-safe-stringify/index.cjs");
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async function mergeRuntimeEnvIntoRunCreates(runs) {
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const runtimeEnv = await (0, env_js_1.getRuntimeEnvironment)();
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const envVars = (0, env_js_1.getLangChainEnvVarsMetadata)();
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return runs.map((run) => {
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const extra = run.extra ?? {};
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const metadata = extra.metadata;
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run.extra = {
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...extra,
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runtime: {
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...runtimeEnv,
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...extra?.runtime,
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},
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metadata: {
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...envVars,
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...(envVars.revision_id || run.revision_id
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? { revision_id: run.revision_id ?? envVars.revision_id }
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: {}),
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...metadata,
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},
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};
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return run;
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});
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}
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const getTracingSamplingRate = () => {
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const samplingRateStr = (0, env_js_1.getLangSmithEnvironmentVariable)("TRACING_SAMPLING_RATE");
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if (samplingRateStr === undefined) {
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return undefined;
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}
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const samplingRate = parseFloat(samplingRateStr);
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if (samplingRate < 0 || samplingRate > 1) {
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throw new Error(`LANGSMITH_TRACING_SAMPLING_RATE must be between 0 and 1 if set. Got: ${samplingRate}`);
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}
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return samplingRate;
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};
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// utility functions
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const isLocalhost = (url) => {
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const strippedUrl = url.replace("http://", "").replace("https://", "");
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const hostname = strippedUrl.split("/")[0].split(":")[0];
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return (hostname === "localhost" || hostname === "127.0.0.1" || hostname === "::1");
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};
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async function toArray(iterable) {
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const result = [];
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for await (const item of iterable) {
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result.push(item);
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}
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return result;
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}
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function trimQuotes(str) {
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if (str === undefined) {
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return undefined;
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}
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return str
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.trim()
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.replace(/^"(.*)"$/, "$1")
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.replace(/^'(.*)'$/, "$1");
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}
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const handle429 = async (response) => {
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if (response?.status === 429) {
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const retryAfter = parseInt(response.headers.get("retry-after") ?? "30", 10) * 1000;
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if (retryAfter > 0) {
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await new Promise((resolve) => setTimeout(resolve, retryAfter));
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// Return directly after calling this check
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return true;
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}
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}
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// Fall back to existing status checks
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return false;
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};
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class Queue {
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constructor() {
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Object.defineProperty(this, "items", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: []
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});
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}
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get size() {
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return this.items.length;
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}
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push(item) {
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// this.items.push is synchronous with promise creation:
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// https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Promise/Promise
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return new Promise((resolve) => {
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this.items.push([item, resolve]);
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});
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}
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pop(upToN) {
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if (upToN < 1) {
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throw new Error("Number of items to pop off may not be less than 1.");
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}
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const popped = [];
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while (popped.length < upToN && this.items.length) {
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const item = this.items.shift();
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if (item) {
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popped.push(item);
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}
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else {
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break;
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}
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}
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return [popped.map((it) => it[0]), () => popped.forEach((it) => it[1]())];
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}
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}
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exports.Queue = Queue;
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// 20 MB
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exports.DEFAULT_BATCH_SIZE_LIMIT_BYTES = 20_971_520;
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class Client {
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constructor(config = {}) {
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Object.defineProperty(this, "apiKey", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "apiUrl", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "webUrl", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "caller", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "batchIngestCaller", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "timeout_ms", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "_tenantId", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: null
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});
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Object.defineProperty(this, "hideInputs", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "hideOutputs", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "tracingSampleRate", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "filteredPostUuids", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: new Set()
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});
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Object.defineProperty(this, "autoBatchTracing", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: true
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});
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Object.defineProperty(this, "batchEndpointSupported", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "autoBatchQueue", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: new Queue()
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});
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Object.defineProperty(this, "pendingAutoBatchedRunLimit", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: 100
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});
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Object.defineProperty(this, "autoBatchTimeout", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "autoBatchInitialDelayMs", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: 250
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});
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Object.defineProperty(this, "autoBatchAggregationDelayMs", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: 50
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});
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Object.defineProperty(this, "serverInfo", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "fetchOptions", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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Object.defineProperty(this, "settings", {
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enumerable: true,
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configurable: true,
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writable: true,
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value: void 0
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});
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const defaultConfig = Client.getDefaultClientConfig();
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this.tracingSampleRate = getTracingSamplingRate();
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this.apiUrl = trimQuotes(config.apiUrl ?? defaultConfig.apiUrl) ?? "";
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if (this.apiUrl.endsWith("/")) {
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this.apiUrl = this.apiUrl.slice(0, -1);
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}
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this.apiKey = trimQuotes(config.apiKey ?? defaultConfig.apiKey);
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this.webUrl = trimQuotes(config.webUrl ?? defaultConfig.webUrl);
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if (this.webUrl?.endsWith("/")) {
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this.webUrl = this.webUrl.slice(0, -1);
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}
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this.timeout_ms = config.timeout_ms ?? 12_000;
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this.caller = new async_caller_js_1.AsyncCaller(config.callerOptions ?? {});
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this.batchIngestCaller = new async_caller_js_1.AsyncCaller({
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...(config.callerOptions ?? {}),
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onFailedResponseHook: handle429,
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});
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this.hideInputs =
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config.hideInputs ?? config.anonymizer ?? defaultConfig.hideInputs;
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this.hideOutputs =
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config.hideOutputs ?? config.anonymizer ?? defaultConfig.hideOutputs;
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this.autoBatchTracing = config.autoBatchTracing ?? this.autoBatchTracing;
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this.pendingAutoBatchedRunLimit =
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config.pendingAutoBatchedRunLimit ?? this.pendingAutoBatchedRunLimit;
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this.fetchOptions = config.fetchOptions || {};
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}
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static getDefaultClientConfig() {
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const apiKey = (0, env_js_1.getLangSmithEnvironmentVariable)("API_KEY");
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const apiUrl = (0, env_js_1.getLangSmithEnvironmentVariable)("ENDPOINT") ??
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"https://api.smith.langchain.com";
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const hideInputs = (0, env_js_1.getLangSmithEnvironmentVariable)("HIDE_INPUTS") === "true";
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const hideOutputs = (0, env_js_1.getLangSmithEnvironmentVariable)("HIDE_OUTPUTS") === "true";
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return {
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apiUrl: apiUrl,
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apiKey: apiKey,
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webUrl: undefined,
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hideInputs: hideInputs,
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hideOutputs: hideOutputs,
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};
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}
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getHostUrl() {
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if (this.webUrl) {
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return this.webUrl;
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}
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else if (isLocalhost(this.apiUrl)) {
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this.webUrl = "http://localhost:3000";
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return this.webUrl;
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}
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else if (this.apiUrl.includes("/api") &&
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!this.apiUrl.split(".", 1)[0].endsWith("api")) {
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this.webUrl = this.apiUrl.replace("/api", "");
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return this.webUrl;
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}
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else if (this.apiUrl.split(".", 1)[0].includes("dev")) {
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this.webUrl = "https://dev.smith.langchain.com";
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return this.webUrl;
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}
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else if (this.apiUrl.split(".", 1)[0].includes("eu")) {
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this.webUrl = "https://eu.smith.langchain.com";
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return this.webUrl;
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}
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else {
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this.webUrl = "https://smith.langchain.com";
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return this.webUrl;
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}
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}
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get headers() {
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const headers = {
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"User-Agent": `langsmith-js/${index_js_1.__version__}`,
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};
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if (this.apiKey) {
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headers["x-api-key"] = `${this.apiKey}`;
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}
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return headers;
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}
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processInputs(inputs) {
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if (this.hideInputs === false) {
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return inputs;
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}
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if (this.hideInputs === true) {
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return {};
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}
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if (typeof this.hideInputs === "function") {
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return this.hideInputs(inputs);
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}
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return inputs;
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}
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processOutputs(outputs) {
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if (this.hideOutputs === false) {
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return outputs;
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}
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if (this.hideOutputs === true) {
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return {};
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}
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if (typeof this.hideOutputs === "function") {
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return this.hideOutputs(outputs);
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}
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return outputs;
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}
|
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prepareRunCreateOrUpdateInputs(run) {
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const runParams = { ...run };
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if (runParams.inputs !== undefined) {
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runParams.inputs = this.processInputs(runParams.inputs);
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}
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if (runParams.outputs !== undefined) {
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runParams.outputs = this.processOutputs(runParams.outputs);
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}
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return runParams;
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}
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async _getResponse(path, queryParams) {
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const paramsString = queryParams?.toString() ?? "";
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const url = `${this.apiUrl}${path}?${paramsString}`;
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const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), url, {
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method: "GET",
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headers: this.headers,
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signal: AbortSignal.timeout(this.timeout_ms),
|
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...this.fetchOptions,
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});
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await (0, error_js_1.raiseForStatus)(response, `Failed to fetch ${path}`);
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return response;
|
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}
|
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async _get(path, queryParams) {
|
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const response = await this._getResponse(path, queryParams);
|
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return response.json();
|
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}
|
|
async *_getPaginated(path, queryParams = new URLSearchParams(), transform) {
|
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let offset = Number(queryParams.get("offset")) || 0;
|
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const limit = Number(queryParams.get("limit")) || 100;
|
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while (true) {
|
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queryParams.set("offset", String(offset));
|
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queryParams.set("limit", String(limit));
|
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const url = `${this.apiUrl}${path}?${queryParams}`;
|
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const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), url, {
|
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method: "GET",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, `Failed to fetch ${path}`);
|
|
const items = transform
|
|
? transform(await response.json())
|
|
: await response.json();
|
|
if (items.length === 0) {
|
|
break;
|
|
}
|
|
yield items;
|
|
if (items.length < limit) {
|
|
break;
|
|
}
|
|
offset += items.length;
|
|
}
|
|
}
|
|
async *_getCursorPaginatedList(path, body = null, requestMethod = "POST", dataKey = "runs") {
|
|
const bodyParams = body ? { ...body } : {};
|
|
while (true) {
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}${path}`, {
|
|
method: requestMethod,
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
body: JSON.stringify(bodyParams),
|
|
});
|
|
const responseBody = await response.json();
|
|
if (!responseBody) {
|
|
break;
|
|
}
|
|
if (!responseBody[dataKey]) {
|
|
break;
|
|
}
|
|
yield responseBody[dataKey];
|
|
const cursors = responseBody.cursors;
|
|
if (!cursors) {
|
|
break;
|
|
}
|
|
if (!cursors.next) {
|
|
break;
|
|
}
|
|
bodyParams.cursor = cursors.next;
|
|
}
|
|
}
|
|
_filterForSampling(runs, patch = false) {
|
|
if (this.tracingSampleRate === undefined) {
|
|
return runs;
|
|
}
|
|
if (patch) {
|
|
const sampled = [];
|
|
for (const run of runs) {
|
|
if (!this.filteredPostUuids.has(run.id)) {
|
|
sampled.push(run);
|
|
}
|
|
else {
|
|
this.filteredPostUuids.delete(run.id);
|
|
}
|
|
}
|
|
return sampled;
|
|
}
|
|
else {
|
|
const sampled = [];
|
|
for (const run of runs) {
|
|
if ((run.id !== run.trace_id &&
|
|
!this.filteredPostUuids.has(run.trace_id)) ||
|
|
Math.random() < this.tracingSampleRate) {
|
|
sampled.push(run);
|
|
}
|
|
else {
|
|
this.filteredPostUuids.add(run.id);
|
|
}
|
|
}
|
|
return sampled;
|
|
}
|
|
}
|
|
async drainAutoBatchQueue() {
|
|
while (this.autoBatchQueue.size >= 0) {
|
|
const [batch, done] = this.autoBatchQueue.pop(this.pendingAutoBatchedRunLimit);
|
|
if (!batch.length) {
|
|
done();
|
|
return;
|
|
}
|
|
try {
|
|
await this.batchIngestRuns({
|
|
runCreates: batch
|
|
.filter((item) => item.action === "create")
|
|
.map((item) => item.item),
|
|
runUpdates: batch
|
|
.filter((item) => item.action === "update")
|
|
.map((item) => item.item),
|
|
});
|
|
}
|
|
finally {
|
|
done();
|
|
}
|
|
}
|
|
}
|
|
async processRunOperation(item, immediatelyTriggerBatch) {
|
|
const oldTimeout = this.autoBatchTimeout;
|
|
clearTimeout(this.autoBatchTimeout);
|
|
this.autoBatchTimeout = undefined;
|
|
const itemPromise = this.autoBatchQueue.push(item);
|
|
if (immediatelyTriggerBatch ||
|
|
this.autoBatchQueue.size > this.pendingAutoBatchedRunLimit) {
|
|
await this.drainAutoBatchQueue().catch(console.error);
|
|
}
|
|
if (this.autoBatchQueue.size > 0) {
|
|
this.autoBatchTimeout = setTimeout(() => {
|
|
this.autoBatchTimeout = undefined;
|
|
// This error would happen in the background and is uncatchable
|
|
// from the outside. So just log instead.
|
|
void this.drainAutoBatchQueue().catch(console.error);
|
|
}, oldTimeout
|
|
? this.autoBatchAggregationDelayMs
|
|
: this.autoBatchInitialDelayMs);
|
|
}
|
|
return itemPromise;
|
|
}
|
|
async _getServerInfo() {
|
|
const response = await (0, fetch_js_1._getFetchImplementation)()(`${this.apiUrl}/info`, {
|
|
method: "GET",
|
|
headers: { Accept: "application/json" },
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "get server info");
|
|
return response.json();
|
|
}
|
|
async batchEndpointIsSupported() {
|
|
try {
|
|
this.serverInfo = await this._getServerInfo();
|
|
}
|
|
catch (e) {
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
async _getSettings() {
|
|
if (!this.settings) {
|
|
this.settings = this._get("/settings");
|
|
}
|
|
return await this.settings;
|
|
}
|
|
async createRun(run) {
|
|
if (!this._filterForSampling([run]).length) {
|
|
return;
|
|
}
|
|
const headers = { ...this.headers, "Content-Type": "application/json" };
|
|
const session_name = run.project_name;
|
|
delete run.project_name;
|
|
const runCreate = this.prepareRunCreateOrUpdateInputs({
|
|
session_name,
|
|
...run,
|
|
start_time: run.start_time ?? Date.now(),
|
|
});
|
|
if (this.autoBatchTracing &&
|
|
runCreate.trace_id !== undefined &&
|
|
runCreate.dotted_order !== undefined) {
|
|
void this.processRunOperation({
|
|
action: "create",
|
|
item: runCreate,
|
|
}).catch(console.error);
|
|
return;
|
|
}
|
|
const mergedRunCreateParams = await mergeRuntimeEnvIntoRunCreates([
|
|
runCreate,
|
|
]);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/runs`, {
|
|
method: "POST",
|
|
headers,
|
|
body: (0, index_js_2.stringify)(mergedRunCreateParams[0]),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "create run", true);
|
|
}
|
|
/**
|
|
* Batch ingest/upsert multiple runs in the Langsmith system.
|
|
* @param runs
|
|
*/
|
|
async batchIngestRuns({ runCreates, runUpdates, }) {
|
|
if (runCreates === undefined && runUpdates === undefined) {
|
|
return;
|
|
}
|
|
let preparedCreateParams = runCreates?.map((create) => this.prepareRunCreateOrUpdateInputs(create)) ?? [];
|
|
let preparedUpdateParams = runUpdates?.map((update) => this.prepareRunCreateOrUpdateInputs(update)) ?? [];
|
|
if (preparedCreateParams.length > 0 && preparedUpdateParams.length > 0) {
|
|
const createById = preparedCreateParams.reduce((params, run) => {
|
|
if (!run.id) {
|
|
return params;
|
|
}
|
|
params[run.id] = run;
|
|
return params;
|
|
}, {});
|
|
const standaloneUpdates = [];
|
|
for (const updateParam of preparedUpdateParams) {
|
|
if (updateParam.id !== undefined && createById[updateParam.id]) {
|
|
createById[updateParam.id] = {
|
|
...createById[updateParam.id],
|
|
...updateParam,
|
|
};
|
|
}
|
|
else {
|
|
standaloneUpdates.push(updateParam);
|
|
}
|
|
}
|
|
preparedCreateParams = Object.values(createById);
|
|
preparedUpdateParams = standaloneUpdates;
|
|
}
|
|
const rawBatch = {
|
|
post: this._filterForSampling(preparedCreateParams),
|
|
patch: this._filterForSampling(preparedUpdateParams, true),
|
|
};
|
|
if (!rawBatch.post.length && !rawBatch.patch.length) {
|
|
return;
|
|
}
|
|
preparedCreateParams = await mergeRuntimeEnvIntoRunCreates(preparedCreateParams);
|
|
if (this.batchEndpointSupported === undefined) {
|
|
this.batchEndpointSupported = await this.batchEndpointIsSupported();
|
|
}
|
|
if (!this.batchEndpointSupported) {
|
|
this.autoBatchTracing = false;
|
|
for (const preparedCreateParam of rawBatch.post) {
|
|
await this.createRun(preparedCreateParam);
|
|
}
|
|
for (const preparedUpdateParam of rawBatch.patch) {
|
|
if (preparedUpdateParam.id !== undefined) {
|
|
await this.updateRun(preparedUpdateParam.id, preparedUpdateParam);
|
|
}
|
|
}
|
|
return;
|
|
}
|
|
const sizeLimitBytes = this.serverInfo?.batch_ingest_config?.size_limit_bytes ??
|
|
exports.DEFAULT_BATCH_SIZE_LIMIT_BYTES;
|
|
const batchChunks = {
|
|
post: [],
|
|
patch: [],
|
|
};
|
|
let currentBatchSizeBytes = 0;
|
|
for (const k of ["post", "patch"]) {
|
|
const key = k;
|
|
const batchItems = rawBatch[key].reverse();
|
|
let batchItem = batchItems.pop();
|
|
while (batchItem !== undefined) {
|
|
const stringifiedBatchItem = (0, index_js_2.stringify)(batchItem);
|
|
if (currentBatchSizeBytes > 0 &&
|
|
currentBatchSizeBytes + stringifiedBatchItem.length > sizeLimitBytes) {
|
|
await this._postBatchIngestRuns((0, index_js_2.stringify)(batchChunks));
|
|
currentBatchSizeBytes = 0;
|
|
batchChunks.post = [];
|
|
batchChunks.patch = [];
|
|
}
|
|
currentBatchSizeBytes += stringifiedBatchItem.length;
|
|
batchChunks[key].push(batchItem);
|
|
batchItem = batchItems.pop();
|
|
}
|
|
}
|
|
if (batchChunks.post.length > 0 || batchChunks.patch.length > 0) {
|
|
await this._postBatchIngestRuns((0, index_js_2.stringify)(batchChunks));
|
|
}
|
|
}
|
|
async _postBatchIngestRuns(body) {
|
|
const headers = {
|
|
...this.headers,
|
|
"Content-Type": "application/json",
|
|
Accept: "application/json",
|
|
};
|
|
const response = await this.batchIngestCaller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/runs/batch`, {
|
|
method: "POST",
|
|
headers,
|
|
body: body,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "batch create run", true);
|
|
}
|
|
async updateRun(runId, run) {
|
|
(0, _uuid_js_1.assertUuid)(runId);
|
|
if (run.inputs) {
|
|
run.inputs = this.processInputs(run.inputs);
|
|
}
|
|
if (run.outputs) {
|
|
run.outputs = this.processOutputs(run.outputs);
|
|
}
|
|
// TODO: Untangle types
|
|
const data = { ...run, id: runId };
|
|
if (!this._filterForSampling([data], true).length) {
|
|
return;
|
|
}
|
|
if (this.autoBatchTracing &&
|
|
data.trace_id !== undefined &&
|
|
data.dotted_order !== undefined) {
|
|
if (run.end_time !== undefined && data.parent_run_id === undefined) {
|
|
// Trigger a batch as soon as a root trace ends and block to ensure trace finishes
|
|
// in serverless environments.
|
|
await this.processRunOperation({ action: "update", item: data }, true);
|
|
return;
|
|
}
|
|
else {
|
|
void this.processRunOperation({ action: "update", item: data }).catch(console.error);
|
|
}
|
|
return;
|
|
}
|
|
const headers = { ...this.headers, "Content-Type": "application/json" };
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/runs/${runId}`, {
|
|
method: "PATCH",
|
|
headers,
|
|
body: (0, index_js_2.stringify)(run),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "update run", true);
|
|
}
|
|
async readRun(runId, { loadChildRuns } = { loadChildRuns: false }) {
|
|
(0, _uuid_js_1.assertUuid)(runId);
|
|
let run = await this._get(`/runs/${runId}`);
|
|
if (loadChildRuns && run.child_run_ids) {
|
|
run = await this._loadChildRuns(run);
|
|
}
|
|
return run;
|
|
}
|
|
async getRunUrl({ runId, run, projectOpts, }) {
|
|
if (run !== undefined) {
|
|
let sessionId;
|
|
if (run.session_id) {
|
|
sessionId = run.session_id;
|
|
}
|
|
else if (projectOpts?.projectName) {
|
|
sessionId = (await this.readProject({ projectName: projectOpts?.projectName })).id;
|
|
}
|
|
else if (projectOpts?.projectId) {
|
|
sessionId = projectOpts?.projectId;
|
|
}
|
|
else {
|
|
const project = await this.readProject({
|
|
projectName: (0, env_js_1.getLangSmithEnvironmentVariable)("PROJECT") || "default",
|
|
});
|
|
sessionId = project.id;
|
|
}
|
|
const tenantId = await this._getTenantId();
|
|
return `${this.getHostUrl()}/o/${tenantId}/projects/p/${sessionId}/r/${run.id}?poll=true`;
|
|
}
|
|
else if (runId !== undefined) {
|
|
const run_ = await this.readRun(runId);
|
|
if (!run_.app_path) {
|
|
throw new Error(`Run ${runId} has no app_path`);
|
|
}
|
|
const baseUrl = this.getHostUrl();
|
|
return `${baseUrl}${run_.app_path}`;
|
|
}
|
|
else {
|
|
throw new Error("Must provide either runId or run");
|
|
}
|
|
}
|
|
async _loadChildRuns(run) {
|
|
const childRuns = await toArray(this.listRuns({ id: run.child_run_ids }));
|
|
const treemap = {};
|
|
const runs = {};
|
|
// TODO: make dotted order required when the migration finishes
|
|
childRuns.sort((a, b) => (a?.dotted_order ?? "").localeCompare(b?.dotted_order ?? ""));
|
|
for (const childRun of childRuns) {
|
|
if (childRun.parent_run_id === null ||
|
|
childRun.parent_run_id === undefined) {
|
|
throw new Error(`Child run ${childRun.id} has no parent`);
|
|
}
|
|
if (!(childRun.parent_run_id in treemap)) {
|
|
treemap[childRun.parent_run_id] = [];
|
|
}
|
|
treemap[childRun.parent_run_id].push(childRun);
|
|
runs[childRun.id] = childRun;
|
|
}
|
|
run.child_runs = treemap[run.id] || [];
|
|
for (const runId in treemap) {
|
|
if (runId !== run.id) {
|
|
runs[runId].child_runs = treemap[runId];
|
|
}
|
|
}
|
|
return run;
|
|
}
|
|
/**
|
|
* List runs from the LangSmith server.
|
|
* @param projectId - The ID of the project to filter by.
|
|
* @param projectName - The name of the project to filter by.
|
|
* @param parentRunId - The ID of the parent run to filter by.
|
|
* @param traceId - The ID of the trace to filter by.
|
|
* @param referenceExampleId - The ID of the reference example to filter by.
|
|
* @param startTime - The start time to filter by.
|
|
* @param isRoot - Indicates whether to only return root runs.
|
|
* @param runType - The run type to filter by.
|
|
* @param error - Indicates whether to filter by error runs.
|
|
* @param id - The ID of the run to filter by.
|
|
* @param query - The query string to filter by.
|
|
* @param filter - The filter string to apply to the run spans.
|
|
* @param traceFilter - The filter string to apply on the root run of the trace.
|
|
* @param limit - The maximum number of runs to retrieve.
|
|
* @returns {AsyncIterable<Run>} - The runs.
|
|
*
|
|
* @example
|
|
* // List all runs in a project
|
|
* const projectRuns = client.listRuns({ projectName: "<your_project>" });
|
|
*
|
|
* @example
|
|
* // List LLM and Chat runs in the last 24 hours
|
|
* const todaysLLMRuns = client.listRuns({
|
|
* projectName: "<your_project>",
|
|
* start_time: new Date(Date.now() - 24 * 60 * 60 * 1000),
|
|
* run_type: "llm",
|
|
* });
|
|
*
|
|
* @example
|
|
* // List traces in a project
|
|
* const rootRuns = client.listRuns({
|
|
* projectName: "<your_project>",
|
|
* execution_order: 1,
|
|
* });
|
|
*
|
|
* @example
|
|
* // List runs without errors
|
|
* const correctRuns = client.listRuns({
|
|
* projectName: "<your_project>",
|
|
* error: false,
|
|
* });
|
|
*
|
|
* @example
|
|
* // List runs by run ID
|
|
* const runIds = [
|
|
* "a36092d2-4ad5-4fb4-9c0d-0dba9a2ed836",
|
|
* "9398e6be-964f-4aa4-8ae9-ad78cd4b7074",
|
|
* ];
|
|
* const selectedRuns = client.listRuns({ run_ids: runIds });
|
|
*
|
|
* @example
|
|
* // List all "chain" type runs that took more than 10 seconds and had `total_tokens` greater than 5000
|
|
* const chainRuns = client.listRuns({
|
|
* projectName: "<your_project>",
|
|
* filter: 'and(eq(run_type, "chain"), gt(latency, 10), gt(total_tokens, 5000))',
|
|
* });
|
|
*
|
|
* @example
|
|
* // List all runs called "extractor" whose root of the trace was assigned feedback "user_score" score of 1
|
|
* const goodExtractorRuns = client.listRuns({
|
|
* projectName: "<your_project>",
|
|
* filter: 'eq(name, "extractor")',
|
|
* traceFilter: 'and(eq(feedback_key, "user_score"), eq(feedback_score, 1))',
|
|
* });
|
|
*
|
|
* @example
|
|
* // List all runs that started after a specific timestamp and either have "error" not equal to null or a "Correctness" feedback score equal to 0
|
|
* const complexRuns = client.listRuns({
|
|
* projectName: "<your_project>",
|
|
* filter: 'and(gt(start_time, "2023-07-15T12:34:56Z"), or(neq(error, null), and(eq(feedback_key, "Correctness"), eq(feedback_score, 0.0))))',
|
|
* });
|
|
*
|
|
* @example
|
|
* // List all runs where `tags` include "experimental" or "beta" and `latency` is greater than 2 seconds
|
|
* const taggedRuns = client.listRuns({
|
|
* projectName: "<your_project>",
|
|
* filter: 'and(or(has(tags, "experimental"), has(tags, "beta")), gt(latency, 2))',
|
|
* });
|
|
*/
|
|
async *listRuns(props) {
|
|
const { projectId, projectName, parentRunId, traceId, referenceExampleId, startTime, executionOrder, isRoot, runType, error, id, query, filter, traceFilter, treeFilter, limit, select, } = props;
|
|
let projectIds = [];
|
|
if (projectId) {
|
|
projectIds = Array.isArray(projectId) ? projectId : [projectId];
|
|
}
|
|
if (projectName) {
|
|
const projectNames = Array.isArray(projectName)
|
|
? projectName
|
|
: [projectName];
|
|
const projectIds_ = await Promise.all(projectNames.map((name) => this.readProject({ projectName: name }).then((project) => project.id)));
|
|
projectIds.push(...projectIds_);
|
|
}
|
|
const default_select = [
|
|
"app_path",
|
|
"child_run_ids",
|
|
"completion_cost",
|
|
"completion_tokens",
|
|
"dotted_order",
|
|
"end_time",
|
|
"error",
|
|
"events",
|
|
"extra",
|
|
"feedback_stats",
|
|
"first_token_time",
|
|
"id",
|
|
"inputs",
|
|
"name",
|
|
"outputs",
|
|
"parent_run_id",
|
|
"parent_run_ids",
|
|
"prompt_cost",
|
|
"prompt_tokens",
|
|
"reference_example_id",
|
|
"run_type",
|
|
"session_id",
|
|
"start_time",
|
|
"status",
|
|
"tags",
|
|
"total_cost",
|
|
"total_tokens",
|
|
"trace_id",
|
|
];
|
|
const body = {
|
|
session: projectIds.length ? projectIds : null,
|
|
run_type: runType,
|
|
reference_example: referenceExampleId,
|
|
query,
|
|
filter,
|
|
trace_filter: traceFilter,
|
|
tree_filter: treeFilter,
|
|
execution_order: executionOrder,
|
|
parent_run: parentRunId,
|
|
start_time: startTime ? startTime.toISOString() : null,
|
|
error,
|
|
id,
|
|
limit,
|
|
trace: traceId,
|
|
select: select ? select : default_select,
|
|
is_root: isRoot,
|
|
};
|
|
let runsYielded = 0;
|
|
for await (const runs of this._getCursorPaginatedList("/runs/query", body)) {
|
|
if (limit) {
|
|
if (runsYielded >= limit) {
|
|
break;
|
|
}
|
|
if (runs.length + runsYielded > limit) {
|
|
const newRuns = runs.slice(0, limit - runsYielded);
|
|
yield* newRuns;
|
|
break;
|
|
}
|
|
runsYielded += runs.length;
|
|
yield* runs;
|
|
}
|
|
else {
|
|
yield* runs;
|
|
}
|
|
}
|
|
}
|
|
async getRunStats({ id, trace, parentRun, runType, projectNames, projectIds, referenceExampleIds, startTime, endTime, error, query, filter, traceFilter, treeFilter, isRoot, dataSourceType, }) {
|
|
let projectIds_ = projectIds || [];
|
|
if (projectNames) {
|
|
projectIds_ = [
|
|
...(projectIds || []),
|
|
...(await Promise.all(projectNames.map((name) => this.readProject({ projectName: name }).then((project) => project.id)))),
|
|
];
|
|
}
|
|
const payload = {
|
|
id,
|
|
trace,
|
|
parent_run: parentRun,
|
|
run_type: runType,
|
|
session: projectIds_,
|
|
reference_example: referenceExampleIds,
|
|
start_time: startTime,
|
|
end_time: endTime,
|
|
error,
|
|
query,
|
|
filter,
|
|
trace_filter: traceFilter,
|
|
tree_filter: treeFilter,
|
|
is_root: isRoot,
|
|
data_source_type: dataSourceType,
|
|
};
|
|
// Remove undefined values from the payload
|
|
const filteredPayload = Object.fromEntries(Object.entries(payload).filter(([_, value]) => value !== undefined));
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/runs/stats`, {
|
|
method: "POST",
|
|
headers: this.headers,
|
|
body: JSON.stringify(filteredPayload),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
const result = await response.json();
|
|
return result;
|
|
}
|
|
async shareRun(runId, { shareId } = {}) {
|
|
const data = {
|
|
run_id: runId,
|
|
share_token: shareId || uuid.v4(),
|
|
};
|
|
(0, _uuid_js_1.assertUuid)(runId);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/runs/${runId}/share`, {
|
|
method: "PUT",
|
|
headers: this.headers,
|
|
body: JSON.stringify(data),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
const result = await response.json();
|
|
if (result === null || !("share_token" in result)) {
|
|
throw new Error("Invalid response from server");
|
|
}
|
|
return `${this.getHostUrl()}/public/${result["share_token"]}/r`;
|
|
}
|
|
async unshareRun(runId) {
|
|
(0, _uuid_js_1.assertUuid)(runId);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/runs/${runId}/share`, {
|
|
method: "DELETE",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "unshare run", true);
|
|
}
|
|
async readRunSharedLink(runId) {
|
|
(0, _uuid_js_1.assertUuid)(runId);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/runs/${runId}/share`, {
|
|
method: "GET",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
const result = await response.json();
|
|
if (result === null || !("share_token" in result)) {
|
|
return undefined;
|
|
}
|
|
return `${this.getHostUrl()}/public/${result["share_token"]}/r`;
|
|
}
|
|
async listSharedRuns(shareToken, { runIds, } = {}) {
|
|
const queryParams = new URLSearchParams({
|
|
share_token: shareToken,
|
|
});
|
|
if (runIds !== undefined) {
|
|
for (const runId of runIds) {
|
|
queryParams.append("id", runId);
|
|
}
|
|
}
|
|
(0, _uuid_js_1.assertUuid)(shareToken);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/public/${shareToken}/runs${queryParams}`, {
|
|
method: "GET",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
const runs = await response.json();
|
|
return runs;
|
|
}
|
|
async readDatasetSharedSchema(datasetId, datasetName) {
|
|
if (!datasetId && !datasetName) {
|
|
throw new Error("Either datasetId or datasetName must be given");
|
|
}
|
|
if (!datasetId) {
|
|
const dataset = await this.readDataset({ datasetName });
|
|
datasetId = dataset.id;
|
|
}
|
|
(0, _uuid_js_1.assertUuid)(datasetId);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/datasets/${datasetId}/share`, {
|
|
method: "GET",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
const shareSchema = await response.json();
|
|
shareSchema.url = `${this.getHostUrl()}/public/${shareSchema.share_token}/d`;
|
|
return shareSchema;
|
|
}
|
|
async shareDataset(datasetId, datasetName) {
|
|
if (!datasetId && !datasetName) {
|
|
throw new Error("Either datasetId or datasetName must be given");
|
|
}
|
|
if (!datasetId) {
|
|
const dataset = await this.readDataset({ datasetName });
|
|
datasetId = dataset.id;
|
|
}
|
|
const data = {
|
|
dataset_id: datasetId,
|
|
};
|
|
(0, _uuid_js_1.assertUuid)(datasetId);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/datasets/${datasetId}/share`, {
|
|
method: "PUT",
|
|
headers: this.headers,
|
|
body: JSON.stringify(data),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
const shareSchema = await response.json();
|
|
shareSchema.url = `${this.getHostUrl()}/public/${shareSchema.share_token}/d`;
|
|
return shareSchema;
|
|
}
|
|
async unshareDataset(datasetId) {
|
|
(0, _uuid_js_1.assertUuid)(datasetId);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/datasets/${datasetId}/share`, {
|
|
method: "DELETE",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "unshare dataset", true);
|
|
}
|
|
async readSharedDataset(shareToken) {
|
|
(0, _uuid_js_1.assertUuid)(shareToken);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/public/${shareToken}/datasets`, {
|
|
method: "GET",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
const dataset = await response.json();
|
|
return dataset;
|
|
}
|
|
/**
|
|
* Get shared examples.
|
|
*
|
|
* @param {string} shareToken The share token to get examples for. A share token is the UUID (or LangSmith URL, including UUID) generated when explicitly marking an example as public.
|
|
* @param {Object} [options] Additional options for listing the examples.
|
|
* @param {string[] | undefined} [options.exampleIds] A list of example IDs to filter by.
|
|
* @returns {Promise<Example[]>} The shared examples.
|
|
*/
|
|
async listSharedExamples(shareToken, options) {
|
|
const params = {};
|
|
if (options?.exampleIds) {
|
|
params.id = options.exampleIds;
|
|
}
|
|
const urlParams = new URLSearchParams();
|
|
Object.entries(params).forEach(([key, value]) => {
|
|
if (Array.isArray(value)) {
|
|
value.forEach((v) => urlParams.append(key, v));
|
|
}
|
|
else {
|
|
urlParams.append(key, value);
|
|
}
|
|
});
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/public/${shareToken}/examples?${urlParams.toString()}`, {
|
|
method: "GET",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
const result = await response.json();
|
|
if (!response.ok) {
|
|
if ("detail" in result) {
|
|
throw new Error(`Failed to list shared examples.\nStatus: ${response.status}\nMessage: ${result.detail.join("\n")}`);
|
|
}
|
|
throw new Error(`Failed to list shared examples: ${response.status} ${response.statusText}`);
|
|
}
|
|
return result.map((example) => ({
|
|
...example,
|
|
_hostUrl: this.getHostUrl(),
|
|
}));
|
|
}
|
|
async createProject({ projectName, description = null, metadata = null, upsert = false, projectExtra = null, referenceDatasetId = null, }) {
|
|
const upsert_ = upsert ? `?upsert=true` : "";
|
|
const endpoint = `${this.apiUrl}/sessions${upsert_}`;
|
|
const extra = projectExtra || {};
|
|
if (metadata) {
|
|
extra["metadata"] = metadata;
|
|
}
|
|
const body = {
|
|
name: projectName,
|
|
extra,
|
|
description,
|
|
};
|
|
if (referenceDatasetId !== null) {
|
|
body["reference_dataset_id"] = referenceDatasetId;
|
|
}
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), endpoint, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(body),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "create project");
|
|
const result = await response.json();
|
|
return result;
|
|
}
|
|
async updateProject(projectId, { name = null, description = null, metadata = null, projectExtra = null, endTime = null, }) {
|
|
const endpoint = `${this.apiUrl}/sessions/${projectId}`;
|
|
let extra = projectExtra;
|
|
if (metadata) {
|
|
extra = { ...(extra || {}), metadata };
|
|
}
|
|
const body = {
|
|
name,
|
|
extra,
|
|
description,
|
|
end_time: endTime ? new Date(endTime).toISOString() : null,
|
|
};
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), endpoint, {
|
|
method: "PATCH",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(body),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "update project");
|
|
const result = await response.json();
|
|
return result;
|
|
}
|
|
async hasProject({ projectId, projectName, }) {
|
|
// TODO: Add a head request
|
|
let path = "/sessions";
|
|
const params = new URLSearchParams();
|
|
if (projectId !== undefined && projectName !== undefined) {
|
|
throw new Error("Must provide either projectName or projectId, not both");
|
|
}
|
|
else if (projectId !== undefined) {
|
|
(0, _uuid_js_1.assertUuid)(projectId);
|
|
path += `/${projectId}`;
|
|
}
|
|
else if (projectName !== undefined) {
|
|
params.append("name", projectName);
|
|
}
|
|
else {
|
|
throw new Error("Must provide projectName or projectId");
|
|
}
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}${path}?${params}`, {
|
|
method: "GET",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
// consume the response body to release the connection
|
|
// https://undici.nodejs.org/#/?id=garbage-collection
|
|
try {
|
|
const result = await response.json();
|
|
if (!response.ok) {
|
|
return false;
|
|
}
|
|
// If it's OK and we're querying by name, need to check the list is not empty
|
|
if (Array.isArray(result)) {
|
|
return result.length > 0;
|
|
}
|
|
// projectId querying
|
|
return true;
|
|
}
|
|
catch (e) {
|
|
return false;
|
|
}
|
|
}
|
|
async readProject({ projectId, projectName, includeStats, }) {
|
|
let path = "/sessions";
|
|
const params = new URLSearchParams();
|
|
if (projectId !== undefined && projectName !== undefined) {
|
|
throw new Error("Must provide either projectName or projectId, not both");
|
|
}
|
|
else if (projectId !== undefined) {
|
|
(0, _uuid_js_1.assertUuid)(projectId);
|
|
path += `/${projectId}`;
|
|
}
|
|
else if (projectName !== undefined) {
|
|
params.append("name", projectName);
|
|
}
|
|
else {
|
|
throw new Error("Must provide projectName or projectId");
|
|
}
|
|
if (includeStats !== undefined) {
|
|
params.append("include_stats", includeStats.toString());
|
|
}
|
|
const response = await this._get(path, params);
|
|
let result;
|
|
if (Array.isArray(response)) {
|
|
if (response.length === 0) {
|
|
throw new Error(`Project[id=${projectId}, name=${projectName}] not found`);
|
|
}
|
|
result = response[0];
|
|
}
|
|
else {
|
|
result = response;
|
|
}
|
|
return result;
|
|
}
|
|
async getProjectUrl({ projectId, projectName, }) {
|
|
if (projectId === undefined && projectName === undefined) {
|
|
throw new Error("Must provide either projectName or projectId");
|
|
}
|
|
const project = await this.readProject({ projectId, projectName });
|
|
const tenantId = await this._getTenantId();
|
|
return `${this.getHostUrl()}/o/${tenantId}/projects/p/${project.id}`;
|
|
}
|
|
async getDatasetUrl({ datasetId, datasetName, }) {
|
|
if (datasetId === undefined && datasetName === undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId");
|
|
}
|
|
const dataset = await this.readDataset({ datasetId, datasetName });
|
|
const tenantId = await this._getTenantId();
|
|
return `${this.getHostUrl()}/o/${tenantId}/datasets/${dataset.id}`;
|
|
}
|
|
async _getTenantId() {
|
|
if (this._tenantId !== null) {
|
|
return this._tenantId;
|
|
}
|
|
const queryParams = new URLSearchParams({ limit: "1" });
|
|
for await (const projects of this._getPaginated("/sessions", queryParams)) {
|
|
this._tenantId = projects[0].tenant_id;
|
|
return projects[0].tenant_id;
|
|
}
|
|
throw new Error("No projects found to resolve tenant.");
|
|
}
|
|
async *listProjects({ projectIds, name, nameContains, referenceDatasetId, referenceDatasetName, referenceFree, metadata, } = {}) {
|
|
const params = new URLSearchParams();
|
|
if (projectIds !== undefined) {
|
|
for (const projectId of projectIds) {
|
|
params.append("id", projectId);
|
|
}
|
|
}
|
|
if (name !== undefined) {
|
|
params.append("name", name);
|
|
}
|
|
if (nameContains !== undefined) {
|
|
params.append("name_contains", nameContains);
|
|
}
|
|
if (referenceDatasetId !== undefined) {
|
|
params.append("reference_dataset", referenceDatasetId);
|
|
}
|
|
else if (referenceDatasetName !== undefined) {
|
|
const dataset = await this.readDataset({
|
|
datasetName: referenceDatasetName,
|
|
});
|
|
params.append("reference_dataset", dataset.id);
|
|
}
|
|
if (referenceFree !== undefined) {
|
|
params.append("reference_free", referenceFree.toString());
|
|
}
|
|
if (metadata !== undefined) {
|
|
params.append("metadata", JSON.stringify(metadata));
|
|
}
|
|
for await (const projects of this._getPaginated("/sessions", params)) {
|
|
yield* projects;
|
|
}
|
|
}
|
|
async deleteProject({ projectId, projectName, }) {
|
|
let projectId_;
|
|
if (projectId === undefined && projectName === undefined) {
|
|
throw new Error("Must provide projectName or projectId");
|
|
}
|
|
else if (projectId !== undefined && projectName !== undefined) {
|
|
throw new Error("Must provide either projectName or projectId, not both");
|
|
}
|
|
else if (projectId === undefined) {
|
|
projectId_ = (await this.readProject({ projectName })).id;
|
|
}
|
|
else {
|
|
projectId_ = projectId;
|
|
}
|
|
(0, _uuid_js_1.assertUuid)(projectId_);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/sessions/${projectId_}`, {
|
|
method: "DELETE",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, `delete session ${projectId_} (${projectName})`, true);
|
|
}
|
|
async uploadCsv({ csvFile, fileName, inputKeys, outputKeys, description, dataType, name, }) {
|
|
const url = `${this.apiUrl}/datasets/upload`;
|
|
const formData = new FormData();
|
|
formData.append("file", csvFile, fileName);
|
|
inputKeys.forEach((key) => {
|
|
formData.append("input_keys", key);
|
|
});
|
|
outputKeys.forEach((key) => {
|
|
formData.append("output_keys", key);
|
|
});
|
|
if (description) {
|
|
formData.append("description", description);
|
|
}
|
|
if (dataType) {
|
|
formData.append("data_type", dataType);
|
|
}
|
|
if (name) {
|
|
formData.append("name", name);
|
|
}
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), url, {
|
|
method: "POST",
|
|
headers: this.headers,
|
|
body: formData,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "upload CSV");
|
|
const result = await response.json();
|
|
return result;
|
|
}
|
|
async createDataset(name, { description, dataType, inputsSchema, outputsSchema, metadata, } = {}) {
|
|
const body = {
|
|
name,
|
|
description,
|
|
extra: metadata ? { metadata } : undefined,
|
|
};
|
|
if (dataType) {
|
|
body.data_type = dataType;
|
|
}
|
|
if (inputsSchema) {
|
|
body.inputs_schema_definition = inputsSchema;
|
|
}
|
|
if (outputsSchema) {
|
|
body.outputs_schema_definition = outputsSchema;
|
|
}
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/datasets`, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(body),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "create dataset");
|
|
const result = await response.json();
|
|
return result;
|
|
}
|
|
async readDataset({ datasetId, datasetName, }) {
|
|
let path = "/datasets";
|
|
// limit to 1 result
|
|
const params = new URLSearchParams({ limit: "1" });
|
|
if (datasetId !== undefined && datasetName !== undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId, not both");
|
|
}
|
|
else if (datasetId !== undefined) {
|
|
(0, _uuid_js_1.assertUuid)(datasetId);
|
|
path += `/${datasetId}`;
|
|
}
|
|
else if (datasetName !== undefined) {
|
|
params.append("name", datasetName);
|
|
}
|
|
else {
|
|
throw new Error("Must provide datasetName or datasetId");
|
|
}
|
|
const response = await this._get(path, params);
|
|
let result;
|
|
if (Array.isArray(response)) {
|
|
if (response.length === 0) {
|
|
throw new Error(`Dataset[id=${datasetId}, name=${datasetName}] not found`);
|
|
}
|
|
result = response[0];
|
|
}
|
|
else {
|
|
result = response;
|
|
}
|
|
return result;
|
|
}
|
|
async hasDataset({ datasetId, datasetName, }) {
|
|
try {
|
|
await this.readDataset({ datasetId, datasetName });
|
|
return true;
|
|
}
|
|
catch (e) {
|
|
if (
|
|
// eslint-disable-next-line no-instanceof/no-instanceof
|
|
e instanceof Error &&
|
|
e.message.toLocaleLowerCase().includes("not found")) {
|
|
return false;
|
|
}
|
|
throw e;
|
|
}
|
|
}
|
|
async diffDatasetVersions({ datasetId, datasetName, fromVersion, toVersion, }) {
|
|
let datasetId_ = datasetId;
|
|
if (datasetId_ === undefined && datasetName === undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId");
|
|
}
|
|
else if (datasetId_ !== undefined && datasetName !== undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId, not both");
|
|
}
|
|
else if (datasetId_ === undefined) {
|
|
const dataset = await this.readDataset({ datasetName });
|
|
datasetId_ = dataset.id;
|
|
}
|
|
const urlParams = new URLSearchParams({
|
|
from_version: typeof fromVersion === "string"
|
|
? fromVersion
|
|
: fromVersion.toISOString(),
|
|
to_version: typeof toVersion === "string" ? toVersion : toVersion.toISOString(),
|
|
});
|
|
const response = await this._get(`/datasets/${datasetId_}/versions/diff`, urlParams);
|
|
return response;
|
|
}
|
|
async readDatasetOpenaiFinetuning({ datasetId, datasetName, }) {
|
|
const path = "/datasets";
|
|
if (datasetId !== undefined) {
|
|
// do nothing
|
|
}
|
|
else if (datasetName !== undefined) {
|
|
datasetId = (await this.readDataset({ datasetName })).id;
|
|
}
|
|
else {
|
|
throw new Error("Must provide datasetName or datasetId");
|
|
}
|
|
const response = await this._getResponse(`${path}/${datasetId}/openai_ft`);
|
|
const datasetText = await response.text();
|
|
const dataset = datasetText
|
|
.trim()
|
|
.split("\n")
|
|
.map((line) => JSON.parse(line));
|
|
return dataset;
|
|
}
|
|
async *listDatasets({ limit = 100, offset = 0, datasetIds, datasetName, datasetNameContains, metadata, } = {}) {
|
|
const path = "/datasets";
|
|
const params = new URLSearchParams({
|
|
limit: limit.toString(),
|
|
offset: offset.toString(),
|
|
});
|
|
if (datasetIds !== undefined) {
|
|
for (const id_ of datasetIds) {
|
|
params.append("id", id_);
|
|
}
|
|
}
|
|
if (datasetName !== undefined) {
|
|
params.append("name", datasetName);
|
|
}
|
|
if (datasetNameContains !== undefined) {
|
|
params.append("name_contains", datasetNameContains);
|
|
}
|
|
if (metadata !== undefined) {
|
|
params.append("metadata", JSON.stringify(metadata));
|
|
}
|
|
for await (const datasets of this._getPaginated(path, params)) {
|
|
yield* datasets;
|
|
}
|
|
}
|
|
/**
|
|
* Update a dataset
|
|
* @param props The dataset details to update
|
|
* @returns The updated dataset
|
|
*/
|
|
async updateDataset(props) {
|
|
const { datasetId, datasetName, ...update } = props;
|
|
if (!datasetId && !datasetName) {
|
|
throw new Error("Must provide either datasetName or datasetId");
|
|
}
|
|
const _datasetId = datasetId ?? (await this.readDataset({ datasetName })).id;
|
|
(0, _uuid_js_1.assertUuid)(_datasetId);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/datasets/${_datasetId}`, {
|
|
method: "PATCH",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(update),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "update dataset");
|
|
return (await response.json());
|
|
}
|
|
async deleteDataset({ datasetId, datasetName, }) {
|
|
let path = "/datasets";
|
|
let datasetId_ = datasetId;
|
|
if (datasetId !== undefined && datasetName !== undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId, not both");
|
|
}
|
|
else if (datasetName !== undefined) {
|
|
const dataset = await this.readDataset({ datasetName });
|
|
datasetId_ = dataset.id;
|
|
}
|
|
if (datasetId_ !== undefined) {
|
|
(0, _uuid_js_1.assertUuid)(datasetId_);
|
|
path += `/${datasetId_}`;
|
|
}
|
|
else {
|
|
throw new Error("Must provide datasetName or datasetId");
|
|
}
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), this.apiUrl + path, {
|
|
method: "DELETE",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, `delete ${path}`);
|
|
await response.json();
|
|
}
|
|
async indexDataset({ datasetId, datasetName, tag, }) {
|
|
let datasetId_ = datasetId;
|
|
if (!datasetId_ && !datasetName) {
|
|
throw new Error("Must provide either datasetName or datasetId");
|
|
}
|
|
else if (datasetId_ && datasetName) {
|
|
throw new Error("Must provide either datasetName or datasetId, not both");
|
|
}
|
|
else if (!datasetId_) {
|
|
const dataset = await this.readDataset({ datasetName });
|
|
datasetId_ = dataset.id;
|
|
}
|
|
(0, _uuid_js_1.assertUuid)(datasetId_);
|
|
const data = {
|
|
tag: tag,
|
|
};
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/datasets/${datasetId_}/index`, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(data),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "index dataset");
|
|
await response.json();
|
|
}
|
|
/**
|
|
* Lets you run a similarity search query on a dataset.
|
|
*
|
|
* Requires the dataset to be indexed. Please see the `indexDataset` method to set up indexing.
|
|
*
|
|
* @param inputs The input on which to run the similarity search. Must have the
|
|
* same schema as the dataset.
|
|
*
|
|
* @param datasetId The dataset to search for similar examples.
|
|
*
|
|
* @param limit The maximum number of examples to return. Will return the top `limit` most
|
|
* similar examples in order of most similar to least similar. If no similar
|
|
* examples are found, random examples will be returned.
|
|
*
|
|
* @param filter A filter string to apply to the search. Only examples will be returned that
|
|
* match the filter string. Some examples of filters
|
|
*
|
|
* - eq(metadata.mykey, "value")
|
|
* - and(neq(metadata.my.nested.key, "value"), neq(metadata.mykey, "value"))
|
|
* - or(eq(metadata.mykey, "value"), eq(metadata.mykey, "othervalue"))
|
|
*
|
|
* @returns A list of similar examples.
|
|
*
|
|
*
|
|
* @example
|
|
* dataset_id = "123e4567-e89b-12d3-a456-426614174000"
|
|
* inputs = {"text": "How many people live in Berlin?"}
|
|
* limit = 5
|
|
* examples = await client.similarExamples(inputs, dataset_id, limit)
|
|
*/
|
|
async similarExamples(inputs, datasetId, limit, { filter, } = {}) {
|
|
const data = {
|
|
limit: limit,
|
|
inputs: inputs,
|
|
};
|
|
if (filter !== undefined) {
|
|
data["filter"] = filter;
|
|
}
|
|
(0, _uuid_js_1.assertUuid)(datasetId);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/datasets/${datasetId}/search`, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(data),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "fetch similar examples");
|
|
const result = await response.json();
|
|
return result["examples"];
|
|
}
|
|
async createExample(inputs, outputs, { datasetId, datasetName, createdAt, exampleId, metadata, split, sourceRunId, }) {
|
|
let datasetId_ = datasetId;
|
|
if (datasetId_ === undefined && datasetName === undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId");
|
|
}
|
|
else if (datasetId_ !== undefined && datasetName !== undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId, not both");
|
|
}
|
|
else if (datasetId_ === undefined) {
|
|
const dataset = await this.readDataset({ datasetName });
|
|
datasetId_ = dataset.id;
|
|
}
|
|
const createdAt_ = createdAt || new Date();
|
|
const data = {
|
|
dataset_id: datasetId_,
|
|
inputs,
|
|
outputs,
|
|
created_at: createdAt_?.toISOString(),
|
|
id: exampleId,
|
|
metadata,
|
|
split,
|
|
source_run_id: sourceRunId,
|
|
};
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/examples`, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(data),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "create example");
|
|
const result = await response.json();
|
|
return result;
|
|
}
|
|
async createExamples(props) {
|
|
const { inputs, outputs, metadata, sourceRunIds, exampleIds, datasetId, datasetName, } = props;
|
|
let datasetId_ = datasetId;
|
|
if (datasetId_ === undefined && datasetName === undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId");
|
|
}
|
|
else if (datasetId_ !== undefined && datasetName !== undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId, not both");
|
|
}
|
|
else if (datasetId_ === undefined) {
|
|
const dataset = await this.readDataset({ datasetName });
|
|
datasetId_ = dataset.id;
|
|
}
|
|
const formattedExamples = inputs.map((input, idx) => {
|
|
return {
|
|
dataset_id: datasetId_,
|
|
inputs: input,
|
|
outputs: outputs ? outputs[idx] : undefined,
|
|
metadata: metadata ? metadata[idx] : undefined,
|
|
split: props.splits ? props.splits[idx] : undefined,
|
|
id: exampleIds ? exampleIds[idx] : undefined,
|
|
source_run_id: sourceRunIds ? sourceRunIds[idx] : undefined,
|
|
};
|
|
});
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/examples/bulk`, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(formattedExamples),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "create examples");
|
|
const result = await response.json();
|
|
return result;
|
|
}
|
|
async createLLMExample(input, generation, options) {
|
|
return this.createExample({ input }, { output: generation }, options);
|
|
}
|
|
async createChatExample(input, generations, options) {
|
|
const finalInput = input.map((message) => {
|
|
if ((0, messages_js_1.isLangChainMessage)(message)) {
|
|
return (0, messages_js_1.convertLangChainMessageToExample)(message);
|
|
}
|
|
return message;
|
|
});
|
|
const finalOutput = (0, messages_js_1.isLangChainMessage)(generations)
|
|
? (0, messages_js_1.convertLangChainMessageToExample)(generations)
|
|
: generations;
|
|
return this.createExample({ input: finalInput }, { output: finalOutput }, options);
|
|
}
|
|
async readExample(exampleId) {
|
|
(0, _uuid_js_1.assertUuid)(exampleId);
|
|
const path = `/examples/${exampleId}`;
|
|
return await this._get(path);
|
|
}
|
|
async *listExamples({ datasetId, datasetName, exampleIds, asOf, splits, inlineS3Urls, metadata, limit, offset, filter, } = {}) {
|
|
let datasetId_;
|
|
if (datasetId !== undefined && datasetName !== undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId, not both");
|
|
}
|
|
else if (datasetId !== undefined) {
|
|
datasetId_ = datasetId;
|
|
}
|
|
else if (datasetName !== undefined) {
|
|
const dataset = await this.readDataset({ datasetName });
|
|
datasetId_ = dataset.id;
|
|
}
|
|
else {
|
|
throw new Error("Must provide a datasetName or datasetId");
|
|
}
|
|
const params = new URLSearchParams({ dataset: datasetId_ });
|
|
const dataset_version = asOf
|
|
? typeof asOf === "string"
|
|
? asOf
|
|
: asOf?.toISOString()
|
|
: undefined;
|
|
if (dataset_version) {
|
|
params.append("as_of", dataset_version);
|
|
}
|
|
const inlineS3Urls_ = inlineS3Urls ?? true;
|
|
params.append("inline_s3_urls", inlineS3Urls_.toString());
|
|
if (exampleIds !== undefined) {
|
|
for (const id_ of exampleIds) {
|
|
params.append("id", id_);
|
|
}
|
|
}
|
|
if (splits !== undefined) {
|
|
for (const split of splits) {
|
|
params.append("splits", split);
|
|
}
|
|
}
|
|
if (metadata !== undefined) {
|
|
const serializedMetadata = JSON.stringify(metadata);
|
|
params.append("metadata", serializedMetadata);
|
|
}
|
|
if (limit !== undefined) {
|
|
params.append("limit", limit.toString());
|
|
}
|
|
if (offset !== undefined) {
|
|
params.append("offset", offset.toString());
|
|
}
|
|
if (filter !== undefined) {
|
|
params.append("filter", filter);
|
|
}
|
|
let i = 0;
|
|
for await (const examples of this._getPaginated("/examples", params)) {
|
|
for (const example of examples) {
|
|
yield example;
|
|
i++;
|
|
}
|
|
if (limit !== undefined && i >= limit) {
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
async deleteExample(exampleId) {
|
|
(0, _uuid_js_1.assertUuid)(exampleId);
|
|
const path = `/examples/${exampleId}`;
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), this.apiUrl + path, {
|
|
method: "DELETE",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, `delete ${path}`);
|
|
await response.json();
|
|
}
|
|
async updateExample(exampleId, update) {
|
|
(0, _uuid_js_1.assertUuid)(exampleId);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/examples/${exampleId}`, {
|
|
method: "PATCH",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(update),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "update example");
|
|
const result = await response.json();
|
|
return result;
|
|
}
|
|
async updateExamples(update) {
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/examples/bulk`, {
|
|
method: "PATCH",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(update),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "update examples");
|
|
const result = await response.json();
|
|
return result;
|
|
}
|
|
async listDatasetSplits({ datasetId, datasetName, asOf, }) {
|
|
let datasetId_;
|
|
if (datasetId === undefined && datasetName === undefined) {
|
|
throw new Error("Must provide dataset name or ID");
|
|
}
|
|
else if (datasetId !== undefined && datasetName !== undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId, not both");
|
|
}
|
|
else if (datasetId === undefined) {
|
|
const dataset = await this.readDataset({ datasetName });
|
|
datasetId_ = dataset.id;
|
|
}
|
|
else {
|
|
datasetId_ = datasetId;
|
|
}
|
|
(0, _uuid_js_1.assertUuid)(datasetId_);
|
|
const params = new URLSearchParams();
|
|
const dataset_version = asOf
|
|
? typeof asOf === "string"
|
|
? asOf
|
|
: asOf?.toISOString()
|
|
: undefined;
|
|
if (dataset_version) {
|
|
params.append("as_of", dataset_version);
|
|
}
|
|
const response = await this._get(`/datasets/${datasetId_}/splits`, params);
|
|
return response;
|
|
}
|
|
async updateDatasetSplits({ datasetId, datasetName, splitName, exampleIds, remove = false, }) {
|
|
let datasetId_;
|
|
if (datasetId === undefined && datasetName === undefined) {
|
|
throw new Error("Must provide dataset name or ID");
|
|
}
|
|
else if (datasetId !== undefined && datasetName !== undefined) {
|
|
throw new Error("Must provide either datasetName or datasetId, not both");
|
|
}
|
|
else if (datasetId === undefined) {
|
|
const dataset = await this.readDataset({ datasetName });
|
|
datasetId_ = dataset.id;
|
|
}
|
|
else {
|
|
datasetId_ = datasetId;
|
|
}
|
|
(0, _uuid_js_1.assertUuid)(datasetId_);
|
|
const data = {
|
|
split_name: splitName,
|
|
examples: exampleIds.map((id) => {
|
|
(0, _uuid_js_1.assertUuid)(id);
|
|
return id;
|
|
}),
|
|
remove,
|
|
};
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/datasets/${datasetId_}/splits`, {
|
|
method: "PUT",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(data),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "update dataset splits", true);
|
|
}
|
|
/**
|
|
* @deprecated This method is deprecated and will be removed in future LangSmith versions, use `evaluate` from `langsmith/evaluation` instead.
|
|
*/
|
|
async evaluateRun(run, evaluator, { sourceInfo, loadChildRuns, referenceExample, } = { loadChildRuns: false }) {
|
|
(0, warn_js_1.warnOnce)("This method is deprecated and will be removed in future LangSmith versions, use `evaluate` from `langsmith/evaluation` instead.");
|
|
let run_;
|
|
if (typeof run === "string") {
|
|
run_ = await this.readRun(run, { loadChildRuns });
|
|
}
|
|
else if (typeof run === "object" && "id" in run) {
|
|
run_ = run;
|
|
}
|
|
else {
|
|
throw new Error(`Invalid run type: ${typeof run}`);
|
|
}
|
|
if (run_.reference_example_id !== null &&
|
|
run_.reference_example_id !== undefined) {
|
|
referenceExample = await this.readExample(run_.reference_example_id);
|
|
}
|
|
const feedbackResult = await evaluator.evaluateRun(run_, referenceExample);
|
|
const [_, feedbacks] = await this._logEvaluationFeedback(feedbackResult, run_, sourceInfo);
|
|
return feedbacks[0];
|
|
}
|
|
async createFeedback(runId, key, { score, value, correction, comment, sourceInfo, feedbackSourceType = "api", sourceRunId, feedbackId, feedbackConfig, projectId, comparativeExperimentId, }) {
|
|
if (!runId && !projectId) {
|
|
throw new Error("One of runId or projectId must be provided");
|
|
}
|
|
if (runId && projectId) {
|
|
throw new Error("Only one of runId or projectId can be provided");
|
|
}
|
|
const feedback_source = {
|
|
type: feedbackSourceType ?? "api",
|
|
metadata: sourceInfo ?? {},
|
|
};
|
|
if (sourceRunId !== undefined &&
|
|
feedback_source?.metadata !== undefined &&
|
|
!feedback_source.metadata["__run"]) {
|
|
feedback_source.metadata["__run"] = { run_id: sourceRunId };
|
|
}
|
|
if (feedback_source?.metadata !== undefined &&
|
|
feedback_source.metadata["__run"]?.run_id !== undefined) {
|
|
(0, _uuid_js_1.assertUuid)(feedback_source.metadata["__run"].run_id);
|
|
}
|
|
const feedback = {
|
|
id: feedbackId ?? uuid.v4(),
|
|
run_id: runId,
|
|
key,
|
|
score,
|
|
value,
|
|
correction,
|
|
comment,
|
|
feedback_source: feedback_source,
|
|
comparative_experiment_id: comparativeExperimentId,
|
|
feedbackConfig,
|
|
session_id: projectId,
|
|
};
|
|
const url = `${this.apiUrl}/feedback`;
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), url, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(feedback),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "create feedback", true);
|
|
return feedback;
|
|
}
|
|
async updateFeedback(feedbackId, { score, value, correction, comment, }) {
|
|
const feedbackUpdate = {};
|
|
if (score !== undefined && score !== null) {
|
|
feedbackUpdate["score"] = score;
|
|
}
|
|
if (value !== undefined && value !== null) {
|
|
feedbackUpdate["value"] = value;
|
|
}
|
|
if (correction !== undefined && correction !== null) {
|
|
feedbackUpdate["correction"] = correction;
|
|
}
|
|
if (comment !== undefined && comment !== null) {
|
|
feedbackUpdate["comment"] = comment;
|
|
}
|
|
(0, _uuid_js_1.assertUuid)(feedbackId);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/feedback/${feedbackId}`, {
|
|
method: "PATCH",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(feedbackUpdate),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "update feedback", true);
|
|
}
|
|
async readFeedback(feedbackId) {
|
|
(0, _uuid_js_1.assertUuid)(feedbackId);
|
|
const path = `/feedback/${feedbackId}`;
|
|
const response = await this._get(path);
|
|
return response;
|
|
}
|
|
async deleteFeedback(feedbackId) {
|
|
(0, _uuid_js_1.assertUuid)(feedbackId);
|
|
const path = `/feedback/${feedbackId}`;
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), this.apiUrl + path, {
|
|
method: "DELETE",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, `delete ${path}`);
|
|
await response.json();
|
|
}
|
|
async *listFeedback({ runIds, feedbackKeys, feedbackSourceTypes, } = {}) {
|
|
const queryParams = new URLSearchParams();
|
|
if (runIds) {
|
|
queryParams.append("run", runIds.join(","));
|
|
}
|
|
if (feedbackKeys) {
|
|
for (const key of feedbackKeys) {
|
|
queryParams.append("key", key);
|
|
}
|
|
}
|
|
if (feedbackSourceTypes) {
|
|
for (const type of feedbackSourceTypes) {
|
|
queryParams.append("source", type);
|
|
}
|
|
}
|
|
for await (const feedbacks of this._getPaginated("/feedback", queryParams)) {
|
|
yield* feedbacks;
|
|
}
|
|
}
|
|
/**
|
|
* Creates a presigned feedback token and URL.
|
|
*
|
|
* The token can be used to authorize feedback metrics without
|
|
* needing an API key. This is useful for giving browser-based
|
|
* applications the ability to submit feedback without needing
|
|
* to expose an API key.
|
|
*
|
|
* @param runId - The ID of the run.
|
|
* @param feedbackKey - The feedback key.
|
|
* @param options - Additional options for the token.
|
|
* @param options.expiration - The expiration time for the token.
|
|
*
|
|
* @returns A promise that resolves to a FeedbackIngestToken.
|
|
*/
|
|
async createPresignedFeedbackToken(runId, feedbackKey, { expiration, feedbackConfig, } = {}) {
|
|
const body = {
|
|
run_id: runId,
|
|
feedback_key: feedbackKey,
|
|
feedback_config: feedbackConfig,
|
|
};
|
|
if (expiration) {
|
|
if (typeof expiration === "string") {
|
|
body["expires_at"] = expiration;
|
|
}
|
|
else if (expiration?.hours || expiration?.minutes || expiration?.days) {
|
|
body["expires_in"] = expiration;
|
|
}
|
|
}
|
|
else {
|
|
body["expires_in"] = {
|
|
hours: 3,
|
|
};
|
|
}
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/feedback/tokens`, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(body),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
const result = await response.json();
|
|
return result;
|
|
}
|
|
async createComparativeExperiment({ name, experimentIds, referenceDatasetId, createdAt, description, metadata, id, }) {
|
|
if (experimentIds.length === 0) {
|
|
throw new Error("At least one experiment is required");
|
|
}
|
|
if (!referenceDatasetId) {
|
|
referenceDatasetId = (await this.readProject({
|
|
projectId: experimentIds[0],
|
|
})).reference_dataset_id;
|
|
}
|
|
if (!referenceDatasetId == null) {
|
|
throw new Error("A reference dataset is required");
|
|
}
|
|
const body = {
|
|
id,
|
|
name,
|
|
experiment_ids: experimentIds,
|
|
reference_dataset_id: referenceDatasetId,
|
|
description,
|
|
created_at: (createdAt ?? new Date())?.toISOString(),
|
|
extra: {},
|
|
};
|
|
if (metadata)
|
|
body.extra["metadata"] = metadata;
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/datasets/comparative`, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(body),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
return await response.json();
|
|
}
|
|
/**
|
|
* Retrieves a list of presigned feedback tokens for a given run ID.
|
|
* @param runId The ID of the run.
|
|
* @returns An async iterable of FeedbackIngestToken objects.
|
|
*/
|
|
async *listPresignedFeedbackTokens(runId) {
|
|
(0, _uuid_js_1.assertUuid)(runId);
|
|
const params = new URLSearchParams({ run_id: runId });
|
|
for await (const tokens of this._getPaginated("/feedback/tokens", params)) {
|
|
yield* tokens;
|
|
}
|
|
}
|
|
_selectEvalResults(results) {
|
|
let results_;
|
|
if ("results" in results) {
|
|
results_ = results.results;
|
|
}
|
|
else {
|
|
results_ = [results];
|
|
}
|
|
return results_;
|
|
}
|
|
async _logEvaluationFeedback(evaluatorResponse, run, sourceInfo) {
|
|
const evalResults = this._selectEvalResults(evaluatorResponse);
|
|
const feedbacks = [];
|
|
for (const res of evalResults) {
|
|
let sourceInfo_ = sourceInfo || {};
|
|
if (res.evaluatorInfo) {
|
|
sourceInfo_ = { ...res.evaluatorInfo, ...sourceInfo_ };
|
|
}
|
|
let runId_ = null;
|
|
if (res.targetRunId) {
|
|
runId_ = res.targetRunId;
|
|
}
|
|
else if (run) {
|
|
runId_ = run.id;
|
|
}
|
|
feedbacks.push(await this.createFeedback(runId_, res.key, {
|
|
score: res.score,
|
|
value: res.value,
|
|
comment: res.comment,
|
|
correction: res.correction,
|
|
sourceInfo: sourceInfo_,
|
|
sourceRunId: res.sourceRunId,
|
|
feedbackConfig: res.feedbackConfig,
|
|
feedbackSourceType: "model",
|
|
}));
|
|
}
|
|
return [evalResults, feedbacks];
|
|
}
|
|
async logEvaluationFeedback(evaluatorResponse, run, sourceInfo) {
|
|
const [results] = await this._logEvaluationFeedback(evaluatorResponse, run, sourceInfo);
|
|
return results;
|
|
}
|
|
/**
|
|
* API for managing annotation queues
|
|
*/
|
|
/**
|
|
* List the annotation queues on the LangSmith API.
|
|
* @param options - The options for listing annotation queues
|
|
* @param options.queueIds - The IDs of the queues to filter by
|
|
* @param options.name - The name of the queue to filter by
|
|
* @param options.nameContains - The substring that the queue name should contain
|
|
* @param options.limit - The maximum number of queues to return
|
|
* @returns An iterator of AnnotationQueue objects
|
|
*/
|
|
async *listAnnotationQueues(options = {}) {
|
|
const { queueIds, name, nameContains, limit } = options;
|
|
const params = new URLSearchParams();
|
|
if (queueIds) {
|
|
queueIds.forEach((id, i) => {
|
|
(0, _uuid_js_1.assertUuid)(id, `queueIds[${i}]`);
|
|
params.append("ids", id);
|
|
});
|
|
}
|
|
if (name)
|
|
params.append("name", name);
|
|
if (nameContains)
|
|
params.append("name_contains", nameContains);
|
|
params.append("limit", (limit !== undefined ? Math.min(limit, 100) : 100).toString());
|
|
let count = 0;
|
|
for await (const queues of this._getPaginated("/annotation-queues", params)) {
|
|
yield* queues;
|
|
count++;
|
|
if (limit !== undefined && count >= limit)
|
|
break;
|
|
}
|
|
}
|
|
/**
|
|
* Create an annotation queue on the LangSmith API.
|
|
* @param options - The options for creating an annotation queue
|
|
* @param options.name - The name of the annotation queue
|
|
* @param options.description - The description of the annotation queue
|
|
* @param options.queueId - The ID of the annotation queue
|
|
* @returns The created AnnotationQueue object
|
|
*/
|
|
async createAnnotationQueue(options) {
|
|
const { name, description, queueId } = options;
|
|
const body = {
|
|
name,
|
|
description,
|
|
id: queueId || uuid.v4(),
|
|
};
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/annotation-queues`, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(Object.fromEntries(Object.entries(body).filter(([_, v]) => v !== undefined))),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "create annotation queue");
|
|
const data = await response.json();
|
|
return data;
|
|
}
|
|
/**
|
|
* Read an annotation queue with the specified queue ID.
|
|
* @param queueId - The ID of the annotation queue to read
|
|
* @returns The AnnotationQueue object
|
|
*/
|
|
async readAnnotationQueue(queueId) {
|
|
// TODO: Replace when actual endpoint is added
|
|
const queueIteratorResult = await this.listAnnotationQueues({
|
|
queueIds: [queueId],
|
|
}).next();
|
|
if (queueIteratorResult.done) {
|
|
throw new Error(`Annotation queue with ID ${queueId} not found`);
|
|
}
|
|
return queueIteratorResult.value;
|
|
}
|
|
/**
|
|
* Update an annotation queue with the specified queue ID.
|
|
* @param queueId - The ID of the annotation queue to update
|
|
* @param options - The options for updating the annotation queue
|
|
* @param options.name - The new name for the annotation queue
|
|
* @param options.description - The new description for the annotation queue
|
|
*/
|
|
async updateAnnotationQueue(queueId, options) {
|
|
const { name, description } = options;
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/annotation-queues/${(0, _uuid_js_1.assertUuid)(queueId, "queueId")}`, {
|
|
method: "PATCH",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify({ name, description }),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "update annotation queue");
|
|
}
|
|
/**
|
|
* Delete an annotation queue with the specified queue ID.
|
|
* @param queueId - The ID of the annotation queue to delete
|
|
*/
|
|
async deleteAnnotationQueue(queueId) {
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/annotation-queues/${(0, _uuid_js_1.assertUuid)(queueId, "queueId")}`, {
|
|
method: "DELETE",
|
|
headers: { ...this.headers, Accept: "application/json" },
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "delete annotation queue");
|
|
}
|
|
/**
|
|
* Add runs to an annotation queue with the specified queue ID.
|
|
* @param queueId - The ID of the annotation queue
|
|
* @param runIds - The IDs of the runs to be added to the annotation queue
|
|
*/
|
|
async addRunsToAnnotationQueue(queueId, runIds) {
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/annotation-queues/${(0, _uuid_js_1.assertUuid)(queueId, "queueId")}/runs`, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(runIds.map((id, i) => (0, _uuid_js_1.assertUuid)(id, `runIds[${i}]`).toString())),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "add runs to annotation queue");
|
|
}
|
|
/**
|
|
* Get a run from an annotation queue at the specified index.
|
|
* @param queueId - The ID of the annotation queue
|
|
* @param index - The index of the run to retrieve
|
|
* @returns A Promise that resolves to a RunWithAnnotationQueueInfo object
|
|
* @throws {Error} If the run is not found at the given index or for other API-related errors
|
|
*/
|
|
async getRunFromAnnotationQueue(queueId, index) {
|
|
const baseUrl = `/annotation-queues/${(0, _uuid_js_1.assertUuid)(queueId, "queueId")}/run`;
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}${baseUrl}/${index}`, {
|
|
method: "GET",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "get run from annotation queue");
|
|
return await response.json();
|
|
}
|
|
async _currentTenantIsOwner(owner) {
|
|
const settings = await this._getSettings();
|
|
return owner == "-" || settings.tenant_handle === owner;
|
|
}
|
|
async _ownerConflictError(action, owner) {
|
|
const settings = await this._getSettings();
|
|
return new Error(`Cannot ${action} for another tenant.\n
|
|
Current tenant: ${settings.tenant_handle}\n
|
|
Requested tenant: ${owner}`);
|
|
}
|
|
async _getLatestCommitHash(promptOwnerAndName) {
|
|
const res = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/commits/${promptOwnerAndName}/?limit=${1}&offset=${0}`, {
|
|
method: "GET",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
const json = await res.json();
|
|
if (!res.ok) {
|
|
const detail = typeof json.detail === "string"
|
|
? json.detail
|
|
: JSON.stringify(json.detail);
|
|
const error = new Error(`Error ${res.status}: ${res.statusText}\n${detail}`);
|
|
// eslint-disable-next-line @typescript-eslint/no-explicit-any
|
|
error.statusCode = res.status;
|
|
throw error;
|
|
}
|
|
if (json.commits.length === 0) {
|
|
return undefined;
|
|
}
|
|
return json.commits[0].commit_hash;
|
|
}
|
|
async _likeOrUnlikePrompt(promptIdentifier, like) {
|
|
const [owner, promptName, _] = (0, prompts_js_1.parsePromptIdentifier)(promptIdentifier);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/likes/${owner}/${promptName}`, {
|
|
method: "POST",
|
|
body: JSON.stringify({ like: like }),
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, `${like ? "like" : "unlike"} prompt`);
|
|
return await response.json();
|
|
}
|
|
async _getPromptUrl(promptIdentifier) {
|
|
const [owner, promptName, commitHash] = (0, prompts_js_1.parsePromptIdentifier)(promptIdentifier);
|
|
if (!(await this._currentTenantIsOwner(owner))) {
|
|
if (commitHash !== "latest") {
|
|
return `${this.getHostUrl()}/hub/${owner}/${promptName}/${commitHash.substring(0, 8)}`;
|
|
}
|
|
else {
|
|
return `${this.getHostUrl()}/hub/${owner}/${promptName}`;
|
|
}
|
|
}
|
|
else {
|
|
const settings = await this._getSettings();
|
|
if (commitHash !== "latest") {
|
|
return `${this.getHostUrl()}/prompts/${promptName}/${commitHash.substring(0, 8)}?organizationId=${settings.id}`;
|
|
}
|
|
else {
|
|
return `${this.getHostUrl()}/prompts/${promptName}?organizationId=${settings.id}`;
|
|
}
|
|
}
|
|
}
|
|
async promptExists(promptIdentifier) {
|
|
const prompt = await this.getPrompt(promptIdentifier);
|
|
return !!prompt;
|
|
}
|
|
async likePrompt(promptIdentifier) {
|
|
return this._likeOrUnlikePrompt(promptIdentifier, true);
|
|
}
|
|
async unlikePrompt(promptIdentifier) {
|
|
return this._likeOrUnlikePrompt(promptIdentifier, false);
|
|
}
|
|
async *listCommits(promptOwnerAndName) {
|
|
for await (const commits of this._getPaginated(`/commits/${promptOwnerAndName}/`, new URLSearchParams(), (res) => res.commits)) {
|
|
yield* commits;
|
|
}
|
|
}
|
|
async *listPrompts(options) {
|
|
const params = new URLSearchParams();
|
|
params.append("sort_field", options?.sortField ?? "updated_at");
|
|
params.append("sort_direction", "desc");
|
|
params.append("is_archived", (!!options?.isArchived).toString());
|
|
if (options?.isPublic !== undefined) {
|
|
params.append("is_public", options.isPublic.toString());
|
|
}
|
|
if (options?.query) {
|
|
params.append("query", options.query);
|
|
}
|
|
for await (const prompts of this._getPaginated("/repos", params, (res) => res.repos)) {
|
|
yield* prompts;
|
|
}
|
|
}
|
|
async getPrompt(promptIdentifier) {
|
|
const [owner, promptName, _] = (0, prompts_js_1.parsePromptIdentifier)(promptIdentifier);
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/repos/${owner}/${promptName}`, {
|
|
method: "GET",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
if (response.status === 404) {
|
|
return null;
|
|
}
|
|
await (0, error_js_1.raiseForStatus)(response, "get prompt");
|
|
const result = await response.json();
|
|
if (result.repo) {
|
|
return result.repo;
|
|
}
|
|
else {
|
|
return null;
|
|
}
|
|
}
|
|
async createPrompt(promptIdentifier, options) {
|
|
const settings = await this._getSettings();
|
|
if (options?.isPublic && !settings.tenant_handle) {
|
|
throw new Error(`Cannot create a public prompt without first\n
|
|
creating a LangChain Hub handle.
|
|
You can add a handle by creating a public prompt at:\n
|
|
https://smith.langchain.com/prompts`);
|
|
}
|
|
const [owner, promptName, _] = (0, prompts_js_1.parsePromptIdentifier)(promptIdentifier);
|
|
if (!(await this._currentTenantIsOwner(owner))) {
|
|
throw await this._ownerConflictError("create a prompt", owner);
|
|
}
|
|
const data = {
|
|
repo_handle: promptName,
|
|
...(options?.description && { description: options.description }),
|
|
...(options?.readme && { readme: options.readme }),
|
|
...(options?.tags && { tags: options.tags }),
|
|
is_public: !!options?.isPublic,
|
|
};
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/repos/`, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(data),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "create prompt");
|
|
const { repo } = await response.json();
|
|
return repo;
|
|
}
|
|
async createCommit(promptIdentifier, object, options) {
|
|
if (!(await this.promptExists(promptIdentifier))) {
|
|
throw new Error("Prompt does not exist, you must create it first.");
|
|
}
|
|
const [owner, promptName, _] = (0, prompts_js_1.parsePromptIdentifier)(promptIdentifier);
|
|
const resolvedParentCommitHash = options?.parentCommitHash === "latest" || !options?.parentCommitHash
|
|
? await this._getLatestCommitHash(`${owner}/${promptName}`)
|
|
: options?.parentCommitHash;
|
|
const payload = {
|
|
manifest: JSON.parse(JSON.stringify(object)),
|
|
parent_commit: resolvedParentCommitHash,
|
|
};
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/commits/${owner}/${promptName}`, {
|
|
method: "POST",
|
|
headers: { ...this.headers, "Content-Type": "application/json" },
|
|
body: JSON.stringify(payload),
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "create commit");
|
|
const result = await response.json();
|
|
return this._getPromptUrl(`${owner}/${promptName}${result.commit_hash ? `:${result.commit_hash}` : ""}`);
|
|
}
|
|
async updatePrompt(promptIdentifier, options) {
|
|
if (!(await this.promptExists(promptIdentifier))) {
|
|
throw new Error("Prompt does not exist, you must create it first.");
|
|
}
|
|
const [owner, promptName] = (0, prompts_js_1.parsePromptIdentifier)(promptIdentifier);
|
|
if (!(await this._currentTenantIsOwner(owner))) {
|
|
throw await this._ownerConflictError("update a prompt", owner);
|
|
}
|
|
const payload = {};
|
|
if (options?.description !== undefined)
|
|
payload.description = options.description;
|
|
if (options?.readme !== undefined)
|
|
payload.readme = options.readme;
|
|
if (options?.tags !== undefined)
|
|
payload.tags = options.tags;
|
|
if (options?.isPublic !== undefined)
|
|
payload.is_public = options.isPublic;
|
|
if (options?.isArchived !== undefined)
|
|
payload.is_archived = options.isArchived;
|
|
// Check if payload is empty
|
|
if (Object.keys(payload).length === 0) {
|
|
throw new Error("No valid update options provided");
|
|
}
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/repos/${owner}/${promptName}`, {
|
|
method: "PATCH",
|
|
body: JSON.stringify(payload),
|
|
headers: {
|
|
...this.headers,
|
|
"Content-Type": "application/json",
|
|
},
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "update prompt");
|
|
return response.json();
|
|
}
|
|
async deletePrompt(promptIdentifier) {
|
|
if (!(await this.promptExists(promptIdentifier))) {
|
|
throw new Error("Prompt does not exist, you must create it first.");
|
|
}
|
|
const [owner, promptName, _] = (0, prompts_js_1.parsePromptIdentifier)(promptIdentifier);
|
|
if (!(await this._currentTenantIsOwner(owner))) {
|
|
throw await this._ownerConflictError("delete a prompt", owner);
|
|
}
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/repos/${owner}/${promptName}`, {
|
|
method: "DELETE",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
return await response.json();
|
|
}
|
|
async pullPromptCommit(promptIdentifier, options) {
|
|
const [owner, promptName, commitHash] = (0, prompts_js_1.parsePromptIdentifier)(promptIdentifier);
|
|
const serverInfo = await this._getServerInfo();
|
|
const useOptimization = (0, prompts_js_1.isVersionGreaterOrEqual)(serverInfo.version, "0.5.23");
|
|
let passedCommitHash = commitHash;
|
|
if (!useOptimization && commitHash === "latest") {
|
|
const latestCommitHash = await this._getLatestCommitHash(`${owner}/${promptName}`);
|
|
if (!latestCommitHash) {
|
|
throw new Error("No commits found");
|
|
}
|
|
else {
|
|
passedCommitHash = latestCommitHash;
|
|
}
|
|
}
|
|
const response = await this.caller.call((0, fetch_js_1._getFetchImplementation)(), `${this.apiUrl}/commits/${owner}/${promptName}/${passedCommitHash}${options?.includeModel ? "?include_model=true" : ""}`, {
|
|
method: "GET",
|
|
headers: this.headers,
|
|
signal: AbortSignal.timeout(this.timeout_ms),
|
|
...this.fetchOptions,
|
|
});
|
|
await (0, error_js_1.raiseForStatus)(response, "pull prompt commit");
|
|
const result = await response.json();
|
|
return {
|
|
owner,
|
|
repo: promptName,
|
|
commit_hash: result.commit_hash,
|
|
manifest: result.manifest,
|
|
examples: result.examples,
|
|
};
|
|
}
|
|
/**
|
|
* This method should not be used directly, use `import { pull } from "langchain/hub"` instead.
|
|
* Using this method directly returns the JSON string of the prompt rather than a LangChain object.
|
|
* @private
|
|
*/
|
|
async _pullPrompt(promptIdentifier, options) {
|
|
const promptObject = await this.pullPromptCommit(promptIdentifier, {
|
|
includeModel: options?.includeModel,
|
|
});
|
|
const prompt = JSON.stringify(promptObject.manifest);
|
|
return prompt;
|
|
}
|
|
async pushPrompt(promptIdentifier, options) {
|
|
// Create or update prompt metadata
|
|
if (await this.promptExists(promptIdentifier)) {
|
|
if (options && Object.keys(options).some((key) => key !== "object")) {
|
|
await this.updatePrompt(promptIdentifier, {
|
|
description: options?.description,
|
|
readme: options?.readme,
|
|
tags: options?.tags,
|
|
isPublic: options?.isPublic,
|
|
});
|
|
}
|
|
}
|
|
else {
|
|
await this.createPrompt(promptIdentifier, {
|
|
description: options?.description,
|
|
readme: options?.readme,
|
|
tags: options?.tags,
|
|
isPublic: options?.isPublic,
|
|
});
|
|
}
|
|
if (!options?.object) {
|
|
return await this._getPromptUrl(promptIdentifier);
|
|
}
|
|
// Create a commit with the new manifest
|
|
const url = await this.createCommit(promptIdentifier, options?.object, {
|
|
parentCommitHash: options?.parentCommitHash,
|
|
});
|
|
return url;
|
|
}
|
|
/**
|
|
* Clone a public dataset to your own langsmith tenant.
|
|
* This operation is idempotent. If you already have a dataset with the given name,
|
|
* this function will do nothing.
|
|
|
|
* @param {string} tokenOrUrl The token of the public dataset to clone.
|
|
* @param {Object} [options] Additional options for cloning the dataset.
|
|
* @param {string} [options.sourceApiUrl] The URL of the langsmith server where the data is hosted. Defaults to the API URL of your current client.
|
|
* @param {string} [options.datasetName] The name of the dataset to create in your tenant. Defaults to the name of the public dataset.
|
|
* @returns {Promise<void>}
|
|
*/
|
|
async clonePublicDataset(tokenOrUrl, options = {}) {
|
|
const { sourceApiUrl = this.apiUrl, datasetName } = options;
|
|
const [parsedApiUrl, tokenUuid] = this.parseTokenOrUrl(tokenOrUrl, sourceApiUrl);
|
|
const sourceClient = new Client({
|
|
apiUrl: parsedApiUrl,
|
|
// Placeholder API key not needed anymore in most cases, but
|
|
// some private deployments may have API key-based rate limiting
|
|
// that would cause this to fail if we provide no value.
|
|
apiKey: "placeholder",
|
|
});
|
|
const ds = await sourceClient.readSharedDataset(tokenUuid);
|
|
const finalDatasetName = datasetName || ds.name;
|
|
try {
|
|
if (await this.hasDataset({ datasetId: finalDatasetName })) {
|
|
console.log(`Dataset ${finalDatasetName} already exists in your tenant. Skipping.`);
|
|
return;
|
|
}
|
|
}
|
|
catch (_) {
|
|
// `.hasDataset` will throw an error if the dataset does not exist.
|
|
// no-op in that case
|
|
}
|
|
// Fetch examples first, then create the dataset
|
|
const examples = await sourceClient.listSharedExamples(tokenUuid);
|
|
const dataset = await this.createDataset(finalDatasetName, {
|
|
description: ds.description,
|
|
dataType: ds.data_type || "kv",
|
|
inputsSchema: ds.inputs_schema_definition ?? undefined,
|
|
outputsSchema: ds.outputs_schema_definition ?? undefined,
|
|
});
|
|
try {
|
|
await this.createExamples({
|
|
inputs: examples.map((e) => e.inputs),
|
|
outputs: examples.flatMap((e) => (e.outputs ? [e.outputs] : [])),
|
|
datasetId: dataset.id,
|
|
});
|
|
}
|
|
catch (e) {
|
|
console.error(`An error occurred while creating dataset ${finalDatasetName}. ` +
|
|
"You should delete it manually.");
|
|
throw e;
|
|
}
|
|
}
|
|
parseTokenOrUrl(urlOrToken, apiUrl, numParts = 2, kind = "dataset") {
|
|
// Try parsing as UUID
|
|
try {
|
|
(0, _uuid_js_1.assertUuid)(urlOrToken); // Will throw if it's not a UUID.
|
|
return [apiUrl, urlOrToken];
|
|
}
|
|
catch (_) {
|
|
// no-op if it's not a uuid
|
|
}
|
|
// Parse as URL
|
|
try {
|
|
const parsedUrl = new URL(urlOrToken);
|
|
const pathParts = parsedUrl.pathname
|
|
.split("/")
|
|
.filter((part) => part !== "");
|
|
if (pathParts.length >= numParts) {
|
|
const tokenUuid = pathParts[pathParts.length - numParts];
|
|
return [apiUrl, tokenUuid];
|
|
}
|
|
else {
|
|
throw new Error(`Invalid public ${kind} URL: ${urlOrToken}`);
|
|
}
|
|
}
|
|
catch (error) {
|
|
throw new Error(`Invalid public ${kind} URL or token: ${urlOrToken}`);
|
|
}
|
|
}
|
|
}
|
|
exports.Client = Client;
|