@c8y/ngx-components/fesm2022/c8y-ngx-components-ai-agent-chat.mjs.map

Angular modules for Cumulocity IoT applications

{"version":3,"file":"c8y-ngx-components-ai-agent-chat.mjs","sources":["../../ai/agent-chat/agent-step-feedback.component.ts","../../ai/agent-chat/agent-step-feedback.component.html","../../ai/agent-chat/agent-chat.component.ts","../../ai/agent-chat/agent-chat.component.html","../../ai/agent-chat/widget-ai-chat-section.component.ts","../../ai/agent-chat/widget-ai-chat-section.component.html","../../ai/agent-chat/c8y-ngx-components-ai-agent-chat.ts"],"sourcesContent":["import { JsonPipe, NgClass, AsyncPipe } from '@angular/common';\nimport { Component, Input, OnChanges, OnInit, SimpleChanges } from '@angular/core';\nimport {\n  ListGroupComponent,\n  ListItemBodyComponent,\n  ListItemCollapseComponent,\n  ListItemComponent,\n  ListItemIconComponent,\n  MarkdownToHtmlPipe,\n  C8yTranslatePipe\n} from '@c8y/ngx-components';\nimport { AgentStep } from '@c8y/ngx-components/ai';\nimport { gettext } from '@c8y/ngx-components/gettext';\n\n@Component({\n  selector: 'c8y-agent-step-feedback',\n  templateUrl: './agent-step-feedback.component.html',\n  standalone: true,\n  imports: [\n    ListGroupComponent,\n    ListItemComponent,\n    ListItemCollapseComponent,\n    ListItemBodyComponent,\n    ListItemIconComponent,\n    NgClass,\n    JsonPipe,\n    MarkdownToHtmlPipe,\n    AsyncPipe,\n    C8yTranslatePipe\n  ],\n  host: { class: 'agent-step-feedback' }\n})\nexport class AgentStepFeedbackComponent implements OnInit, OnChanges {\n  @Input({ required: true }) step: AgentStep;\n\n  @Input() label: string;\n  @Input() loading = false;\n  @Input() collapsed = true;\n  @Input() canCollapse = false;\n\n  ngOnInit(): void {\n    if (this.step) {\n      this.parseDefaultAgentStep(this.step);\n    }\n  }\n\n  ngOnChanges(changes: SimpleChanges): void {\n    if (changes.step) {\n      this.parseDefaultAgentStep(changes.step.currentValue);\n    }\n  }\n\n  parseDefaultAgentStep(step: AgentStep): void {\n    if (step.reasoning) {\n      this.label = gettext('Reasoning');\n      this.loading = false;\n      this.canCollapse = true;\n      this.collapsed = false;\n    }\n\n    if (step.toolCalls.length > 0 && !step.toolResults?.length) {\n      this.label = gettext('Calling a tool');\n      this.loading = true;\n      this.canCollapse = true;\n      this.collapsed = true;\n    } else if (step.toolResults?.length > 0) {\n      this.label = gettext('Tool result');\n      this.loading = false;\n      this.canCollapse = true;\n      this.collapsed = true;\n    }\n  }\n}\n","@if (!step.reasoning) {\n  <div [innerHTML]=\"step.text | markdownToHtml | async\"></div>\n}\n@if (label) {\n  <c8y-list-group class=\"m-t-16 m-b-16\">\n    <c8y-li\n      [active]=\"!loading\"\n      [collapsed]=\"collapsed\"\n    >\n      <c8y-li-icon>\n        <span\n          class=\"btn-ai btn-ai-hint btn-sm\"\n          [ngClass]=\"{ working: loading }\"\n        >\n          <span></span>\n        </span>\n      </c8y-li-icon>\n      <c8y-li-body>\n        {{ label | translate }}\n      </c8y-li-body>\n\n      @if (canCollapse) {\n        <c8y-li-collapse>\n          @if (step.reasoning) {\n            <div [innerHTML]=\"step.reasoning | markdownToHtml | async\"></div>\n          } @else if (step) {\n            <pre\n              class=\"fit-w\"\n              style=\"max-height: 320px\"\n              >{{ step | json }}</pre\n            >\n          }\n        </c8y-li-collapse>\n      }\n    </c8y-li>\n  </c8y-list-group>\n}\n","import { AsyncPipe, NgComponentOutlet } from '@angular/common';\nimport {\n  Component,\n  EventEmitter,\n  inject,\n  Input,\n  OnDestroy,\n  OnInit,\n  Output,\n  Type\n} from '@angular/core';\nimport {\n  AlertService,\n  C8yTranslatePipe,\n  EmptyStateComponent,\n  GainsightService,\n  LoadingComponent,\n  MarkdownToHtmlPipe\n} from '@c8y/ngx-components';\nimport {\n  AgentHealthCheckResponse,\n  AgentStep,\n  AIMessage,\n  AIMessageStreamSteps,\n  AIService,\n  ClientAgentDefinition,\n  ToolResult\n} from '@c8y/ngx-components/ai';\nimport {\n  AiChatComponent,\n  AiChatMessageActionComponent,\n  AiChatMessageComponent,\n  AiChatSuggestionComponent\n} from '@c8y/ngx-components/ai/ai-chat';\nimport { gettext } from '@c8y/ngx-components/gettext';\nimport { BehaviorSubject, map, Observable, of, OperatorFunction, Subscription } from 'rxjs';\nimport { AgentStepFeedbackComponent } from './agent-step-feedback.component';\n\n@Component({\n  selector: 'c8y-agent-chat',\n  templateUrl: './agent-chat.component.html',\n  imports: [\n    AiChatComponent,\n    AiChatSuggestionComponent,\n    AiChatMessageComponent,\n    AiChatMessageActionComponent,\n    LoadingComponent,\n    MarkdownToHtmlPipe,\n    AsyncPipe,\n    NgComponentOutlet,\n    C8yTranslatePipe,\n    EmptyStateComponent\n  ]\n})\nexport class AgentChatComponent implements OnInit, OnDestroy {\n  @Input({ required: true }) agent: string | ClientAgentDefinition;\n  @Input() suggestions: { label: string; prompt: string; icon?: string }[] = [];\n  @Input() title: string;\n  @Input() headline: string = gettext('Welcome!');\n  @Input() welcomeText: string;\n  @Input() autoInstallAgents = true;\n  @Input() variables = {};\n  @Input() stepRenderComponent: Type<any> = AgentStepFeedbackComponent;\n\n  @Output() onMessageDelta = new EventEmitter<string>();\n  @Output() onMessageText = new EventEmitter<string>();\n  @Output() onMessageFinish = new EventEmitter<string>();\n  @Output() onToolResult = new EventEmitter<ToolResult>();\n\n  isLoading = false;\n\n  /**\n   * A stream of AI messages representing the conversation.\n   */\n  messages$: BehaviorSubject<AIMessageStreamSteps[]> = new BehaviorSubject<AIMessageStreamSteps[]>(\n    []\n  );\n  agentName: string;\n  hasError = true;\n  canCreate = false;\n  errorMsg = '';\n  prompt = '';\n\n  private aiService = inject(AIService);\n  private gainsightService = inject(GainsightService);\n  private alertService = inject(AlertService);\n  private abortController: AbortController;\n  private assistantSubscription: Subscription;\n\n  defaultAgentStepRendererPipe: OperatorFunction<\n    AgentStep[],\n    { content: Type<any> | string; origin: AgentStep }[]\n  > = <T extends AgentStep[]>(source: Observable<T>) => {\n    return source.pipe(\n      map(steps =>\n        steps.map(step => {\n          if (step.reasoning || step.toolCalls || step.toolResults) {\n            return { content: this.stepRenderComponent, origin: { ...step } };\n          }\n          return { content: step.text, origin: { ...step } };\n        })\n      )\n    );\n  };\n\n  async ngOnInit(): Promise<void> {\n    this.isLoading = true;\n    this.agentName = typeof this.agent === 'string' ? this.agent : this.agent.definitions[0].name;\n    try {\n      const agentHealth: AgentHealthCheckResponse = await this.aiService.getAgentHealth(\n        this.agentName\n      );\n      this.composeErrorMessage(agentHealth);\n      if (typeof this.agent !== 'string' && this.agent.snapshot) {\n        this.createAgent();\n      }\n    } catch (ex) {\n      this.errorMsg = gettext('Microservice not found. Please contact your administrator.');\n      this.hasError = true;\n    }\n    this.isLoading = false;\n  }\n\n  async sendMessage(message: AIMessage) {\n    this.messages$.next([...this.messages$.value, message]);\n    this.isLoading = true;\n    this.abortController = new AbortController();\n    const currentAssistantMessage: AIMessageStreamSteps = {\n      role: 'assistant',\n      content: ''\n    };\n    this.messages$.next([...this.messages$.value, currentAssistantMessage]);\n    const stream = await this.aiService.stream$(\n      this.agentName,\n      this.messages$.value.filter(m => m !== currentAssistantMessage),\n      this.variables,\n      this.abortController\n    );\n\n    if (this.assistantSubscription) {\n      this.assistantSubscription.unsubscribe();\n    }\n\n    this.assistantSubscription = stream.subscribe((messageFromAssistant: AIMessage) =>\n      this.processAgentMessage(\n        currentAssistantMessage,\n        messageFromAssistant,\n        this.agentName,\n        message\n      )\n    );\n  }\n\n  ngOnDestroy(): void {\n    this.cancel();\n  }\n\n  reprompt(userMessage: AIMessageStreamSteps) {\n    const index = this.messages$.value.indexOf(userMessage);\n    if (index > -1) {\n      this.messages$.next(this.messages$.value.slice(0, index));\n      this.prompt = userMessage.content;\n    }\n  }\n\n  rate(assistantMessage: AIMessageStreamSteps, positive) {\n    const agentName = typeof this.agent === 'string' ? this.agent : this.agent.label;\n    this.gainsightService.triggerEvent('ai.agent.feedback', {\n      positive,\n      assistant: assistantMessage,\n      user: this.messages$.value[this.messages$.value.indexOf(assistantMessage) - 1],\n      agent: agentName\n    });\n  }\n\n  reload(assistantMessage: AIMessageStreamSteps) {\n    const index = this.messages$.value.indexOf(assistantMessage);\n    const userMessage = this.messages$.value[index - 1];\n    if (index > -1) {\n      this.messages$.next(this.messages$.value.slice(0, index - 1));\n      this.sendMessage({\n        role: 'user',\n        content: userMessage.content,\n        timestamp: new Date().toISOString()\n      });\n    }\n  }\n\n  cancel() {\n    if (this.abortController) {\n      this.abortController.abort();\n    }\n    if (this.assistantSubscription) {\n      this.assistantSubscription.unsubscribe();\n    }\n    this.isLoading = false;\n  }\n\n  async createAgent() {\n    this.isLoading = true;\n    try {\n      await this.aiService.createOrUpdateAgent(this.agent as ClientAgentDefinition);\n      this.hasError = false;\n    } catch (ex) {\n      this.alertService.danger(gettext('Failed to create the agent.'));\n      this.hasError = true;\n    }\n    this.isLoading = false;\n  }\n\n  private composeErrorMessage(agentHealth: AgentHealthCheckResponse) {\n    if (agentHealth.exists) {\n      this.errorMsg = '';\n      this.hasError = false;\n      return;\n    }\n    this.hasError = true;\n    if (!agentHealth.isProviderConfigured) {\n      this.errorMsg = gettext('AI provider is not configured. Please contact your administrator.');\n      return;\n    }\n    if (agentHealth.canCreate && typeof this.agent === 'string') {\n      this.errorMsg = gettext(\n        'The agent does not exist. Provide the agent definition in the agent manager to use it.'\n      );\n      return;\n    }\n    if (agentHealth.canCreate && typeof this.agent !== 'string') {\n      this.canCreate = true;\n      if (this.autoInstallAgents) {\n        this.createAgent();\n        return;\n      }\n      this.errorMsg = gettext('The agent does not exist. You can create it now.');\n      return;\n    }\n    if (!agentHealth.canCreate) {\n      this.errorMsg = gettext('The agent does not exist. Please contact your administrator.');\n      if (agentHealth.messages?.length) {\n        this.errorMsg += '\\n' + agentHealth.messages.join(' ');\n      }\n      return;\n    }\n    this.errorMsg = gettext('Unknown error. Please contact your administrator.');\n  }\n\n  private processAgentMessage(\n    currentAssistantMessage: AIMessageStreamSteps,\n    messageFromAssistant: AIMessage,\n    agentName: string,\n    message: AIMessage\n  ) {\n    currentAssistantMessage.content = messageFromAssistant.content;\n\n    const steps = messageFromAssistant.steps || [];\n    const lastStep = steps.length ? steps[steps.length - 1] : null;\n\n    this.onMessageDelta.emit(lastStep.textDelta);\n    this.onMessageText.emit(lastStep.text);\n    currentAssistantMessage.componentSteps$ = of(steps).pipe(this.defaultAgentStepRendererPipe);\n\n    if (messageFromAssistant.finishReason === 'stop') {\n      currentAssistantMessage.timestamp = new Date().toISOString();\n      this.onMessageFinish.emit(currentAssistantMessage.content);\n      this.gainsightService.triggerEvent('ai.agent.message', {\n        agent: agentName,\n        user: message,\n        assistant: currentAssistantMessage.content\n      });\n      this.isLoading = false;\n    }\n\n    if (messageFromAssistant.finishReason === 'error') {\n      currentAssistantMessage.timestamp = new Date().toISOString();\n      this.isLoading = false;\n    }\n\n    if (lastStep?.toolResults) {\n      lastStep.toolResults.forEach(toolResult => {\n        this.onToolResult.emit(toolResult);\n      });\n    }\n\n    // as we are mutating the currentAssistantMessage object\n    // which is already in the messages array we need to emit a new array reference\n    this.messages$.next([...this.messages$.value]);\n  }\n}\n","@if (hasError && isLoading) {\n  <c8y-loading class=\"m-auto\"></c8y-loading>\n}\n@if (hasError && !isLoading) {\n  <c8y-ui-empty-state\n    class=\"m-auto\"\n    [icon]=\"'disclaimer'\"\n    [title]=\"'An error occurred' | translate\"\n    [subtitle]=\"errorMsg | translate\"\n    [horizontal]=\"true\"\n  >\n    @if (canCreate) {\n      <div class=\"text-center m-t-16 m-b-16\">\n        <button\n          class=\"btn btn-primary\"\n          (click)=\"createAgent()\"\n        >\n          {{ 'Create agent' | translate }}\n        </button>\n      </div>\n    }\n  </c8y-ui-empty-state>\n}\n\n@if (!hasError) {\n  <c8y-ai-chat\n    (onMessage)=\"sendMessage($event)\"\n    [isLoading]=\"isLoading\"\n    (onCancel)=\"cancel()\"\n    [config]=\"{ title: title, headline: headline, welcomeText: welcomeText }\"\n    [prompt]=\"prompt\"\n  >\n    @for (message of messages$ | async; track $index; let i = $index) {\n      <c8y-ai-chat-message\n        [message]=\"{ role: message.role, content: '', timestamp: message.timestamp }\"\n      >\n        @if (!message.componentSteps$) {\n          <div [innerHTML]=\"message.content | markdownToHtml | async\"></div>\n        }\n        @for (step of message.componentSteps$ | async; track $index) {\n          @if (typeof step.content === 'string') {\n            <div [innerHTML]=\"step.content | markdownToHtml | async\"></div>\n          } @else {\n            <ng-container\n              [ngComponentOutlet]=\"step.content\"\n              [ngComponentOutletInputs]=\"{ step: step.origin }\"\n            ></ng-container>\n          }\n        }\n\n        @if (message.role === 'user') {\n          <c8y-ai-chat-message-action\n            icon=\"pencil\"\n            [tooltip]=\"'Edit and resend this message' | translate\"\n            [disabled]=\"isLoading\"\n            (click)=\"reprompt(message)\"\n          ></c8y-ai-chat-message-action>\n        }\n\n        @if (message.role === 'assistant' && (i < (messages$ | async)?.length - 1 || !isLoading)) {\n          <c8y-ai-chat-message-action\n            icon=\"thumbs-up\"\n            [tooltip]=\"'This is useful' | translate\"\n            [disabled]=\"isLoading\"\n            (click)=\"rate(message, true)\"\n          ></c8y-ai-chat-message-action>\n        }\n\n        @if (message.role === 'assistant' && (i < (messages$ | async)?.length - 1 || !isLoading)) {\n          <c8y-ai-chat-message-action\n            icon=\"thumbs-down\"\n            [tooltip]=\"'This is not useful' | translate\"\n            [disabled]=\"isLoading\"\n            (click)=\"rate(message, false)\"\n          ></c8y-ai-chat-message-action>\n        }\n\n        @if (message.role === 'assistant' && (i < (messages$ | async)?.length - 1 || !isLoading)) {\n          <c8y-ai-chat-message-action\n            icon=\"refresh\"\n            [tooltip]=\"'Regenerate this response' | translate\"\n            [disabled]=\"isLoading\"\n            (click)=\"reload(message)\"\n          ></c8y-ai-chat-message-action>\n        }\n\n        @if (\n          !message.content && message.role === 'assistant' && i === (messages$ | async)?.length - 1\n        ) {\n          <div class=\"text-center\">\n            <c8y-loading></c8y-loading>\n          </div>\n        }\n      </c8y-ai-chat-message>\n    }\n\n    @for (suggestion of suggestions; track $index) {\n      <c8y-ai-chat-suggestion\n        [icon]=\"suggestion.icon || 'c8y-bulb'\"\n        [useAiButtons]=\"true\"\n        [label]=\"suggestion.label\"\n        [prompt]=\"suggestion.prompt\"\n        (suggestionClicked)=\"sendMessage($event)\"\n        [disabled]=\"isLoading\"\n      ></c8y-ai-chat-suggestion>\n    }\n  </c8y-ai-chat>\n}\n","import { AsyncPipe } from '@angular/common';\nimport { Component, inject, Input, OnInit, Type } from '@angular/core';\nimport { AlertService, C8yTranslatePipe, ContextRouteService } from '@c8y/ngx-components';\nimport { gettext } from '@c8y/ngx-components/gettext';\nimport { ClientAgentDefinition, ToolResult } from '@c8y/ngx-components/ai';\nimport {\n  WidgetConfigFeedbackComponent,\n  WidgetConfigService\n} from '@c8y/ngx-components/context-dashboard';\nimport { AgentChatComponent } from './agent-chat.component';\nimport { AgentStepFeedbackComponent } from './agent-step-feedback.component';\n\n@Component({\n  selector: 'c8y-widget-ai-chat-section',\n  imports: [AgentChatComponent, C8yTranslatePipe, AsyncPipe, WidgetConfigFeedbackComponent],\n  standalone: true,\n  templateUrl: './widget-ai-chat-section.component.html'\n})\nexport class WidgetAiChatSectionComponent implements OnInit {\n  @Input()\n  suggestions: Array<{ label: string; prompt: string }> = [];\n  @Input()\n  agent: string | ClientAgentDefinition;\n  @Input()\n  headline = gettext('Welcome!');\n  @Input()\n  title: string = gettext('What can I help you with?');\n  @Input()\n  welcomeText;\n  @Input()\n  variables: { [key: string]: any };\n  @Input()\n  useContextAsVariable = true;\n  @Input()\n  contextVariableName = 'c8yContext';\n  _renderStepComponent: Type<any>;\n\n  private readonly widgetConfigService = inject(WidgetConfigService);\n  private readonly alertService = inject(AlertService);\n  private readonly contextRouteService = inject(ContextRouteService);\n\n  /**\n   * A component that is used to render each step in the chat. By default, it uses the `AgentStepFeedbackComponent`.\n   * You can provide your own component by returning it from this callback.\n   *\n   * @returns A promise that resolves to a component type.\n   */\n  @Input()\n  loadRenderStepComponent: () => Promise<Type<any>> = () =>\n    Promise.resolve(AgentStepFeedbackComponent);\n\n  /**\n   * A callback that is invoked when a tool result is returned. The function can return either:\n   * - `undefined` or `void`: No action is taken.\n   * - an object which is stored to the widget configuration.\n   */\n  onToolResult: (step: ToolResult) => undefined | any = () => undefined;\n\n  /**\n   * @ignore\n   */\n  async ngOnInit(): Promise<void> {\n    if (!this.variables && this.useContextAsVariable) {\n      const { contextData } = this.contextRouteService.activatedContextData;\n      this.variables = {\n        [this.contextVariableName]: contextData || this.widgetConfigService.currentConfig.device\n      };\n    }\n\n    this._renderStepComponent = await this.loadRenderStepComponent();\n  }\n\n  /**\n   * Handles the tool result returned from the AI agent.\n   * @param tool The tool result returned from the AI agent.\n   */\n  toolResultHandler(tool: ToolResult) {\n    try {\n      const parsedResult = this.onToolResult(tool);\n      if (!parsedResult) {\n        return;\n      }\n      this.widgetConfigService.updateConfig(\n        {\n          config: {\n            ...this.widgetConfigService.currentConfig,\n            ...parsedResult\n          }\n        },\n        true\n      );\n    } catch (e) {\n      this.alertService.danger(gettext('There was an error processing the AI response.'));\n    }\n  }\n}\n","<c8y-widget-config-feedback>\n  <div\n    class=\"m-l-4 btn-ai btn-ai-hint btn-sm\"\n    [title]=\"'AI code assistant' | translate\"\n  >\n    <span></span>\n  </div>\n</c8y-widget-config-feedback>\n\n<c8y-agent-chat\n  [title]=\"title | translate\"\n  [headline]=\"headline | translate\"\n  [welcomeText]=\"welcomeText | translate\"\n  #agentChat\n  [suggestions]=\"(agentChat.messages$ | async)?.length === 0 ? suggestions : []\"\n  [agent]=\"agent\"\n  [variables]=\"variables\"\n  [stepRenderComponent]=\"_renderStepComponent\"\n  (onToolResult)=\"toolResultHandler($event)\"\n></c8y-agent-chat>\n","/**\n * Generated bundle index. Do not edit.\n */\n\nexport * from 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