@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 { GUIAgentData, StatusEnum, ShareVersion } 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';\n\nimport { setContext } from './context/useContext';\nimport { Operator, GUIAgentConfig } 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';\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 systemPrompt: string;\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.systemPrompt = config.systemPrompt || this.buildSystemPrompt();\n  }\n\n  async run(instruction: string) {\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    let loopCnt = 0;\n    let snapshotErrCnt = 0;\n\n    // start running agent\n    data.status = StatusEnum.RUNNING;\n    await onData?.({ data: { ...data, conversations: [] } });\n\n    try {\n      // eslint-disable-next-line no-constant-condition\n      while (true) {\n        console.log('[run_data_status]', data.status);\n\n        if (data.status !== StatusEnum.RUNNING || signal?.aborted) {\n          signal?.aborted && (data.status = StatusEnum.END);\n          await onData?.({ data: { ...data, conversations: [] } });\n          break;\n        }\n\n        if (loopCnt >= maxLoopCount || snapshotErrCnt >= MAX_SNAPSHOT_ERR_CNT) {\n          Object.assign(data, {\n            status: StatusEnum.MAX_LOOP,\n            errMsg:\n              loopCnt >= maxLoopCount\n                ? 'Exceeds the maximum number of loops'\n                : 'Too many screenshot failures',\n          });\n          await onData?.({ data: { ...data, conversations: [] } });\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          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          conversations: data.conversations,\n          systemPrompt: data.systemPrompt,\n        });\n        // sliding images window to vlm model\n        const vlmParams = {\n          ...processVlmParams(modelFormat.conversations, modelFormat.images),\n          screenContext: {\n            width,\n            height,\n          },\n          mime,\n          scaleFactor: snapshot.scaleFactor,\n        };\n        const { prediction, parsedPredictions } = 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              throw error;\n            }\n          },\n          {\n            retries: retry?.model?.maxRetries ?? 0,\n            onRetry: retry?.model?.onRetry,\n          },\n        );\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 (\n            [\n              INTERNAL_ACTION_SPACES_ENUM.CALL_USER,\n              INTERNAL_ACTION_SPACES_ENUM.ERROR_ENV,\n              INTERNAL_ACTION_SPACES_ENUM.FINISHED,\n            ].includes(actionType as unknown as INTERNAL_ACTION_SPACES_ENUM)\n          ) {\n            data.status = StatusEnum.END;\n            break;\n          } else if (actionType === INTERNAL_ACTION_SPACES_ENUM.MAX_LOOP) {\n            data.status = StatusEnum.MAX_LOOP;\n            break;\n          }\n\n          if (!signal?.aborted) {\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                onRetry: retry?.execute?.onRetry,\n              },\n            ).catch((e) => {\n              logger.error('GUIAgent execute error', e);\n            });\n\n            if (executeOutput && executeOutput?.status) {\n              data.status = executeOutput.status;\n            }\n          }\n        }\n      }\n    } catch (error) {\n      if (\n        error instanceof Error &&\n        (error.name === 'AbortError' || error.message?.includes('aborted'))\n      ) {\n        logger.info('Request was aborted');\n        return;\n      }\n\n      logger.error('[GUIAgent] run error', error);\n      onError?.({\n        data,\n        error: {\n          code: -1,\n          error: 'GUIAgent Service Error',\n          stack: `${error}`,\n        },\n      });\n      throw error;\n    } finally {\n      const prevStatus = data.status;\n      data.status = StatusEnum.END;\n\n      if (data.status !== prevStatus) {\n        await onData?.({\n          data: {\n            ...data,\n            conversations: [],\n          },\n        });\n      }\n\n      logger.info('[GUIAgent] finally: status', data.status);\n    }\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  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