{"version":3,"file":"GUIAgent.mjs","sources":["webpack://@ui-tars/sdk/./src/GUIAgent.ts"],"sourcesContent":["/* eslint-disable @typescript-eslint/no-explicit-any */\n/*\n * Copyright (c) 2025 Bytedance, Inc. and its affiliates.\n * SPDX-License-Identifier: Apache-2.0\n */\nimport {\n GUIAgentData,\n UITarsModelVersion,\n StatusEnum,\n ShareVersion,\n ErrorStatusEnum,\n GUIAgentError,\n Message,\n} from '@ui-tars/shared/types';\nimport { IMAGE_PLACEHOLDER, MAX_LOOP_COUNT } from '@ui-tars/shared/constants';\nimport { sleep } from '@ui-tars/shared/utils';\nimport asyncRetry from 'async-retry';\nimport { Jimp } from 'jimp';\nimport { v4 as uuidv4 } from 'uuid';\n\nimport { setContext } from './context/useContext';\nimport { Operator, GUIAgentConfig, InvokeParams } from './types';\nimport { UITarsModel } from './Model';\nimport { BaseGUIAgent } from './base';\nimport {\n getSummary,\n processVlmParams,\n replaceBase64Prefix,\n toVlmModelFormat,\n} from './utils';\nimport {\n INTERNAL_ACTION_SPACES_ENUM,\n MAX_SNAPSHOT_ERR_CNT,\n SYSTEM_PROMPT,\n SYSTEM_PROMPT_TEMPLATE,\n} from './constants';\nimport { InternalServerError } from 'openai';\n\nexport class GUIAgent extends BaseGUIAgent<\n GUIAgentConfig\n> {\n private readonly operator: T;\n private readonly model: InstanceType;\n private readonly logger: NonNullable['logger']>;\n private uiTarsVersion?: UITarsModelVersion;\n private systemPrompt: string;\n\n private isPaused = false;\n private resumePromise: Promise | null = null;\n private resolveResume: (() => void) | null = null;\n private isStopped = false;\n\n constructor(config: GUIAgentConfig) {\n super(config);\n this.operator = config.operator;\n\n this.model =\n config.model instanceof UITarsModel\n ? config.model\n : new UITarsModel(config.model);\n this.logger = config.logger || console;\n this.uiTarsVersion = config.uiTarsVersion;\n this.systemPrompt = config.systemPrompt || this.buildSystemPrompt();\n }\n\n async run(\n instruction: string,\n historyMessages?: Message[],\n remoteModelHdrs?: Record,\n ) {\n const { operator, model, logger } = this;\n const {\n signal,\n onData,\n onError,\n retry = {},\n maxLoopCount = MAX_LOOP_COUNT,\n } = this.config;\n\n const currentTime = Date.now();\n const data: GUIAgentData = {\n version: ShareVersion.V1,\n systemPrompt: this.systemPrompt,\n instruction,\n modelName: this.model.modelName,\n status: StatusEnum.INIT,\n logTime: currentTime,\n conversations: [\n {\n from: 'human',\n value: instruction,\n timing: {\n start: currentTime,\n end: currentTime,\n cost: 0,\n },\n },\n ],\n };\n\n // inject guiAgent config for operator to get\n setContext(\n Object.assign(this.config, {\n logger: this.logger,\n systemPrompt: this.systemPrompt,\n factors: this.model.factors,\n model: this.model,\n }),\n );\n\n logger.info(\n `[GUIAgent] run:\\nsystem prompt: ${this.systemPrompt},\\nmodel version: ${this.uiTarsVersion},\\nmodel config: ${JSON.stringify(this.model)}`,\n );\n\n let loopCnt = 0;\n let snapshotErrCnt = 0;\n let totalTokens = 0;\n let totalTime = 0;\n let previousResponseId: string | undefined;\n\n // start running agent\n data.status = StatusEnum.RUNNING;\n await onData?.({ data: { ...data, conversations: [] } });\n\n // Generate session id with UUID\n const sessionId = this.generateSessionId();\n\n try {\n // eslint-disable-next-line no-constant-condition\n while (true) {\n logger.info('[GUIAgent] loopCnt:', loopCnt);\n // check pause status\n if (this.isPaused && this.resumePromise) {\n data.status = StatusEnum.PAUSE;\n await onData?.({\n data: {\n ...data,\n conversations: [],\n },\n });\n await this.resumePromise;\n data.status = StatusEnum.RUNNING;\n await onData?.({\n data: {\n ...data,\n conversations: [],\n },\n });\n }\n\n if (\n this.isStopped ||\n (data.status !== StatusEnum.RUNNING &&\n data.status !== StatusEnum.PAUSE) ||\n signal?.aborted\n ) {\n // check if stop or aborted\n signal?.aborted && (data.status = StatusEnum.USER_STOPPED);\n break;\n }\n\n if (loopCnt >= maxLoopCount) {\n Object.assign(data, {\n status: StatusEnum.ERROR,\n error: this.guiAgentErrorParser(\n ErrorStatusEnum.REACH_MAXLOOP_ERROR,\n ),\n });\n break;\n }\n\n if (snapshotErrCnt >= MAX_SNAPSHOT_ERR_CNT) {\n Object.assign(data, {\n status: StatusEnum.ERROR,\n error: this.guiAgentErrorParser(\n ErrorStatusEnum.SCREENSHOT_RETRY_ERROR,\n ),\n });\n break;\n }\n\n loopCnt += 1;\n const start = Date.now();\n\n const snapshot = await asyncRetry(() => operator.screenshot(), {\n retries: retry?.screenshot?.maxRetries ?? 0,\n minTimeout: 5000,\n onRetry: retry?.screenshot?.onRetry,\n });\n\n const { width, height, mime } = await Jimp.fromBuffer(\n Buffer.from(replaceBase64Prefix(snapshot.base64), 'base64'),\n ).catch((e) => {\n logger.error('[GUIAgent] screenshot error', e);\n return {\n width: null,\n height: null,\n mime: '',\n };\n });\n\n const isValidImage = !!(snapshot?.base64 && width && height);\n\n if (!isValidImage) {\n loopCnt -= 1;\n snapshotErrCnt += 1;\n await sleep(1000);\n continue;\n }\n\n let end = Date.now();\n\n if (isValidImage) {\n data.conversations.push({\n from: 'human',\n value: IMAGE_PLACEHOLDER,\n screenshotBase64: snapshot.base64,\n screenshotContext: {\n size: {\n width,\n height,\n },\n mime,\n scaleFactor: snapshot.scaleFactor,\n },\n timing: {\n start,\n end,\n cost: end - start,\n },\n });\n await onData?.({\n data: {\n ...data,\n conversations: data.conversations.slice(-1),\n },\n });\n }\n\n // conversations -> messages, images\n const modelFormat = toVlmModelFormat({\n historyMessages: historyMessages || [],\n conversations: data.conversations,\n systemPrompt: data.systemPrompt,\n });\n // sliding images window to vlm model\n const vlmParams: InvokeParams = {\n ...processVlmParams(modelFormat.conversations, modelFormat.images),\n screenContext: {\n width,\n height,\n },\n scaleFactor: snapshot.scaleFactor,\n uiTarsVersion: this.uiTarsVersion,\n headers: {\n ...remoteModelHdrs,\n 'X-Session-Id': sessionId,\n },\n previousResponseId,\n };\n const {\n prediction,\n parsedPredictions,\n costTime,\n costTokens,\n responseId,\n } = await asyncRetry(\n async (bail) => {\n try {\n const result = await model.invoke(vlmParams);\n return result;\n } catch (error: unknown) {\n if (\n error instanceof Error &&\n (error?.name === 'APIUserAbortError' ||\n error?.message?.includes('aborted'))\n ) {\n bail(error as unknown as Error);\n return {\n prediction: '',\n parsedPredictions: [],\n };\n }\n\n Object.assign(data, {\n status: StatusEnum.ERROR,\n error: this.guiAgentErrorParser(\n ErrorStatusEnum.INVOKE_RETRY_ERROR,\n error as Error,\n ),\n });\n throw error;\n }\n },\n {\n retries: retry?.model?.maxRetries ?? 0,\n minTimeout: 1000 * 30,\n onRetry: retry?.model?.onRetry,\n },\n );\n\n // responseId shouldn't be assigned to null or undefined\n if (responseId) {\n previousResponseId = responseId;\n }\n\n totalTokens += costTokens || 0;\n totalTime += costTime || 0;\n\n logger.info(\n `[GUIAgent] consumes: >>> costTime: ${costTime}, costTokens: ${costTokens} <<<`,\n );\n logger.info('[GUIAgent] Response:', prediction);\n logger.info(\n '[GUIAgent] Parsed Predictions:',\n JSON.stringify(parsedPredictions),\n );\n\n if (!prediction) {\n logger.error('[GUIAgent] Response Empty:', prediction);\n continue;\n }\n\n const predictionSummary = getSummary(prediction);\n\n end = Date.now();\n data.conversations.push({\n from: 'gpt',\n value: predictionSummary,\n timing: {\n start,\n end,\n cost: end - start,\n },\n screenshotContext: {\n size: {\n width,\n height,\n },\n scaleFactor: snapshot.scaleFactor,\n },\n predictionParsed: parsedPredictions,\n });\n await onData?.({\n data: {\n ...data,\n conversations: data.conversations.slice(-1),\n },\n });\n\n // start execute action\n for (const parsedPrediction of parsedPredictions) {\n const actionType = parsedPrediction.action_type;\n\n logger.info('[GUIAgent] Action:', actionType);\n\n // handle internal action spaces\n if (actionType === INTERNAL_ACTION_SPACES_ENUM.ERROR_ENV) {\n Object.assign(data, {\n status: StatusEnum.ERROR,\n error: this.guiAgentErrorParser(\n ErrorStatusEnum.ENVIRONMENT_ERROR,\n ),\n });\n break;\n } else if (actionType === INTERNAL_ACTION_SPACES_ENUM.MAX_LOOP) {\n Object.assign(data, {\n status: StatusEnum.ERROR,\n error: this.guiAgentErrorParser(\n ErrorStatusEnum.REACH_MAXLOOP_ERROR,\n ),\n });\n break;\n }\n\n if (!signal?.aborted && !this.isStopped) {\n logger.info(\n '[GUIAgent] Action Inputs:',\n parsedPrediction.action_inputs,\n parsedPrediction.action_type,\n );\n // TODO: pass executeOutput to onData\n const executeOutput = await asyncRetry(\n () =>\n operator.execute({\n prediction,\n parsedPrediction,\n screenWidth: width,\n screenHeight: height,\n scaleFactor: snapshot.scaleFactor,\n factors: this.model.factors,\n }),\n {\n retries: retry?.execute?.maxRetries ?? 0,\n minTimeout: 5000,\n onRetry: retry?.execute?.onRetry,\n },\n ).catch((e) => {\n logger.error('[GUIAgent] execute error', e);\n Object.assign(data, {\n status: StatusEnum.ERROR,\n error: this.guiAgentErrorParser(\n ErrorStatusEnum.EXECUTE_RETRY_ERROR,\n e,\n ),\n });\n });\n\n if (executeOutput && executeOutput?.status) {\n data.status = executeOutput.status;\n }\n }\n\n // Action types must break the loop after operator execution:\n if (actionType === INTERNAL_ACTION_SPACES_ENUM.CALL_USER) {\n data.status = StatusEnum.CALL_USER;\n break;\n } else if (actionType === INTERNAL_ACTION_SPACES_ENUM.FINISHED) {\n data.status = StatusEnum.END;\n break;\n }\n }\n\n if (this.config.loopIntervalInMs && this.config.loopIntervalInMs > 0) {\n logger.info(\n `[GUIAgent] sleep for ${this.config.loopIntervalInMs}ms before next loop`,\n );\n await sleep(this.config.loopIntervalInMs);\n logger.info(\n `[GUIAgent] sleep for ${this.config.loopIntervalInMs}ms before next loop done`,\n );\n }\n }\n } catch (error) {\n logger.error('[GUIAgent] Catch error', error);\n if (\n error instanceof Error &&\n (error.name === 'AbortError' || error.message?.includes('aborted'))\n ) {\n logger.info('[GUIAgent] Catch: request was aborted');\n data.status = StatusEnum.USER_STOPPED;\n return;\n }\n\n data.status = StatusEnum.ERROR;\n data.error = this.guiAgentErrorParser(\n ErrorStatusEnum.UNKNOWN_ERROR,\n error as Error,\n );\n\n // We only use OnError callback to dispatch error information to caller,\n // and we will not throw error to the caller.\n // throw error;\n } finally {\n logger.info('[GUIAgent] Finally: status', data.status);\n\n this.model?.reset();\n\n if (data.status === StatusEnum.USER_STOPPED) {\n await operator.execute({\n prediction: '',\n parsedPrediction: {\n action_inputs: {},\n reflection: null,\n action_type: 'user_stop',\n thought: '',\n },\n screenWidth: 0,\n screenHeight: 0,\n scaleFactor: 1,\n factors: [0, 0],\n });\n }\n\n await onData?.({ data: { ...data, conversations: [] } });\n\n if (data.status === StatusEnum.ERROR) {\n onError?.({\n data,\n error:\n data.error ||\n new GUIAgentError(\n ErrorStatusEnum.UNKNOWN_ERROR,\n 'Unknown error occurred',\n ),\n });\n }\n\n logger.info(\n `[GUIAgent] >>> totalTokens: ${totalTokens}, totalTime: ${totalTime}, loopCnt: ${loopCnt} <<<`,\n );\n }\n }\n\n public pause() {\n this.isPaused = true;\n this.resumePromise = new Promise((resolve) => {\n this.resolveResume = resolve;\n });\n }\n\n public resume() {\n if (this.resolveResume) {\n this.resolveResume();\n this.resumePromise = null;\n this.resolveResume = null;\n }\n this.isPaused = false;\n }\n\n public stop() {\n this.isStopped = true;\n }\n\n private buildSystemPrompt() {\n const actionSpaces = (this.operator.constructor as typeof Operator)?.MANUAL\n ?.ACTION_SPACES;\n\n return actionSpaces == null || actionSpaces.length === 0\n ? SYSTEM_PROMPT\n : SYSTEM_PROMPT_TEMPLATE.replace(\n '{{action_spaces_holder}}',\n actionSpaces.join('\\n'),\n );\n }\n\n private guiAgentErrorParser(\n type: ErrorStatusEnum,\n error?: Error,\n ): GUIAgentError {\n this.logger.error('[GUIAgent] guiAgentErrorParser:', error);\n\n let parseError = null;\n\n if (error instanceof InternalServerError) {\n this.logger.error(\n '[GUIAgent] guiAgentErrorParser instanceof InternalServerError.',\n );\n parseError = new GUIAgentError(\n ErrorStatusEnum.MODEL_SERVICE_ERROR,\n error.message,\n error.stack,\n );\n }\n\n if (!parseError && type === ErrorStatusEnum.REACH_MAXLOOP_ERROR) {\n parseError = new GUIAgentError(\n ErrorStatusEnum.REACH_MAXLOOP_ERROR,\n `Has reached max loop count: ${error?.message || ''}`,\n error?.stack,\n );\n }\n\n if (!parseError && type === ErrorStatusEnum.SCREENSHOT_RETRY_ERROR) {\n parseError = new GUIAgentError(\n ErrorStatusEnum.SCREENSHOT_RETRY_ERROR,\n `Too many screenshot failures: ${error?.message || ''}`,\n error?.stack,\n );\n }\n\n if (!parseError && type === ErrorStatusEnum.INVOKE_RETRY_ERROR) {\n parseError = new GUIAgentError(\n ErrorStatusEnum.INVOKE_RETRY_ERROR,\n `Too many model invoke failures: ${error?.message || ''}`,\n error?.stack,\n );\n }\n\n if (!parseError && type === ErrorStatusEnum.EXECUTE_RETRY_ERROR) {\n parseError = new GUIAgentError(\n ErrorStatusEnum.EXECUTE_RETRY_ERROR,\n `Too many action execute failures: ${error?.message || ''}`,\n error?.stack,\n );\n }\n\n if (!parseError && type === ErrorStatusEnum.ENVIRONMENT_ERROR) {\n parseError = new GUIAgentError(\n ErrorStatusEnum.ENVIRONMENT_ERROR,\n `The environment error occurred when parsing the action: ${error?.message || ''}`,\n error?.stack,\n );\n }\n\n if (!parseError) {\n parseError = new GUIAgentError(\n ErrorStatusEnum.UNKNOWN_ERROR,\n error instanceof Error ? error.message : 'Unknown error occurred',\n error instanceof Error ? error.stack || 'null' : 'null',\n );\n }\n\n if (!parseError.stack) {\n // Avoid 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