@ui-tars/sdk/dist/GUIAgent.mjs.map

A powerful cross-platform(ANY device/platform) toolkit for building GUI automation agents for UI-TARS

{"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<T extends Operator> extends BaseGUIAgent<\n  GUIAgentConfig<T>\n> {\n  private readonly operator: T;\n  private readonly model: InstanceType<typeof UITarsModel>;\n  private readonly logger: NonNullable<GUIAgentConfig<T>['logger']>;\n  private uiTarsVersion?: UITarsModelVersion;\n  private systemPrompt: string;\n\n  private isPaused = false;\n  private resumePromise: Promise<void> | null = null;\n  private resolveResume: (() => void) | null = null;\n  private isStopped = false;\n\n  constructor(config: GUIAgentConfig<T>) {\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<string, string>,\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 guiAgentErrorParser it self in stack trace\n      Error.captureStackTrace(parseError, this.guiAgentErrorParser);\n    }\n\n    return parseError;\n  }\n\n  private generateSessionId(): string {\n    return uuidv4();\n  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