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<div class="environment-container">
<mat-card>
<mat-card-header>
<mat-card-title>
<mat-icon>settings</mat-icon>
Environment Configuration
</mat-card-title>
</mat-card-header>
<mat-card-content>
@if (isGPTMode()) {
<mat-card class="info-card">
<mat-card-content>
<mat-icon>info</mat-icon>
<div>
<strong>{{ environment.work_mode === 'gpt4o' ? 'GPT-4o' : 'GPT-4o Mini' }} Mode</strong>
<p>This mode uses OpenAI's API which has usage-based pricing.</p>
<p>Approximate cost: {{ environment.work_mode === 'gpt4o' ? '$0.01-0.03' : '$0.001-0.003' }} per conversation turn.</p>
</div>
</mat-card-content>
</mat-card>
}
<form (ngSubmit)="save()" #envForm="ngForm">
<mat-form-field appearance="outline" class="full-width">
<mat-label>Work Mode</mat-label>
<mat-select
name="workMode"
[(ngModel)]="environment.work_mode"
(selectionChange)="onWorkModeChange()"
required
[disabled]="loading"
>
<mat-option value="hfcloud">HF Cloud</mat-option>
<mat-option value="cloud">Cloud</mat-option>
<mat-option value="on-premise">On-Premise</mat-option>
<mat-option value="gpt4o">GPT-4o</mat-option>
<mat-option value="gpt4o-mini">GPT-4o Mini</mat-option>
</mat-select>
<mat-icon matPrefix>cloud</mat-icon>
</mat-form-field>
<mat-form-field appearance="outline" class="full-width">
<mat-label>{{ getTokenLabel() }}</mat-label>
<input
matInput
type="password"
name="cloudToken"
[(ngModel)]="environment.cloud_token"
[disabled]="loading || environment.work_mode === 'on-premise'"
[placeholder]="getTokenPlaceholder()"
>
<mat-icon matPrefix>vpn_key</mat-icon>
<mat-hint>{{ isGPTMode() ? 'Required for OpenAI API access' : 'Required for HF Cloud and Cloud modes' }}</mat-hint>
</mat-form-field>
<mat-form-field appearance="outline" class="full-width">
<mat-label>Spark Endpoint</mat-label>
<input
matInput
type="url"
name="sparkEndpoint"
[(ngModel)]="environment.spark_endpoint"
[required]="!isGPTMode()"
[disabled]="loading || isGPTMode()"
placeholder="https://spark-service.example.com"
>
<mat-icon matPrefix>link</mat-icon>
<button
mat-icon-button
matSuffix
type="button"
(click)="testConnection()"
[disabled]="loading || !environment.spark_endpoint || isGPTMode()"
matTooltip="Test Connection"
>
<mat-icon>wifi_tethering</mat-icon>
</button>
@if (isGPTMode()) {
<mat-hint>Not required for GPT mode</mat-hint>
}
</mat-form-field>
<!-- TTS Configuration -->
<div class="engine-row">
<mat-form-field appearance="outline" class="engine-field">
<mat-label>TTS Engine</mat-label>
<mat-select
name="ttsEngine"
[(ngModel)]="environment.tts_engine"
(selectionChange)="onTTSEngineChange()"
[disabled]="loading"
>
<mat-option value="no_tts">No TTS</mat-option>
<mat-option value="elevenlabs">ElevenLabs</mat-option>
<mat-option value="blaze">Blaze (Coming Soon)</mat-option>
</mat-select>
<mat-icon matPrefix>record_voice_over</mat-icon>
</mat-form-field>
<mat-form-field appearance="outline" class="api-key-field">
<mat-label>TTS API Key</mat-label>
<input
matInput
type="password"
name="ttsApiKey"
[(ngModel)]="environment.tts_engine_api_key"
[disabled]="loading || environment.tts_engine === 'no_tts'"
[required]="environment.tts_engine !== 'no_tts'"
placeholder="Enter TTS API key"
>
<mat-icon matPrefix>key</mat-icon>
</mat-form-field>
<mat-checkbox
name="ttsUseSSML"
[(ngModel)]="ttsSettings.use_ssml"
[disabled]="loading || !isTTSProviderSSMLCapable()"
*ngIf="environment.tts_engine !== 'no_tts'">
Use SSML
</mat-checkbox>
<mat-hint *ngIf="isTTSProviderSSMLCapable() && environment.tts_engine !== 'no_tts'">
SSML provides better control over pronunciation, pauses, and emphasis
</mat-hint>
</div>
<!-- STT Configuration -->
<div class="engine-row">
<mat-form-field appearance="outline" class="engine-field">
<mat-label>STT Engine</mat-label>
<mat-select
name="sttEngine"
[(ngModel)]="environment.stt_engine"
(selectionChange)="onSTTEngineChange()"
[disabled]="loading"
>
<mat-option value="no_stt">No STT</mat-option>
<mat-option value="google">Google Cloud Speech</mat-option>
<mat-option value="azure">Azure Speech (Coming Soon)</mat-option>
<mat-option value="amazon">Amazon Transcribe (Coming Soon)</mat-option>
<mat-option value="flicker">Flicker (Coming Soon)</mat-option>
</mat-select>
<mat-icon matPrefix>mic</mat-icon>
</mat-form-field>
<mat-form-field appearance="outline" class="api-key-field">
<mat-label>{{ getSTTKeyLabel() }}</mat-label>
<input
matInput
type="password"
name="sttApiKey"
[(ngModel)]="environment.stt_engine_api_key"
[disabled]="loading || environment.stt_engine === 'no_stt'"
[required]="environment.stt_engine !== 'no_stt'"
[placeholder]="getSTTKeyPlaceholder()"
>
<mat-icon matPrefix>key</mat-icon>
<mat-hint>{{ getSTTKeyHint() }}</mat-hint>
</mat-form-field>
</div>
<div>
<!-- STT Settings Panel -->
<mat-expansion-panel class="stt-settings-panel" *ngIf="environment.stt_engine !== 'no_stt'">
<mat-expansion-panel-header>
<mat-panel-title>
<mat-icon>settings_voice</mat-icon>
STT Settings
</mat-panel-title>
<mat-panel-description>
Advanced speech recognition settings
</mat-panel-description>
</mat-expansion-panel-header>
<div class="stt-settings-content">
<!-- Language -->
<mat-form-field appearance="outline" class="full-width">
<mat-label>Language</mat-label>
<mat-select
name="sttLanguage"
[(ngModel)]="sttSettings.language"
[disabled]="loading"
>
<mat-option value="tr-TR">Turkish (tr-TR)</mat-option>
<mat-option value="en-US">English US (en-US)</mat-option>
<mat-option value="en-GB">English UK (en-GB)</mat-option>
<mat-option value="de-DE">German (de-DE)</mat-option>
<mat-option value="fr-FR">French (fr-FR)</mat-option>
<mat-option value="es-ES">Spanish (es-ES)</mat-option>
</mat-select>
<mat-icon matPrefix>language</mat-icon>
</mat-form-field>
<!-- Model -->
<mat-form-field appearance="outline" class="full-width" *ngIf="environment.stt_engine === 'google'">
<mat-label>Recognition Model</mat-label>
<mat-select
name="sttModel"
[(ngModel)]="sttSettings.model"
[disabled]="loading"
>
<mat-option value="latest_long">Latest Long (Best for long audio)</mat-option>
<mat-option value="latest_short">Latest Short (Best for short audio)</mat-option>
<mat-option value="command_and_search">Command and Search</mat-option>
<mat-option value="phone_call">Phone Call</mat-option>
<mat-option value="video">Video</mat-option>
</mat-select>
<mat-icon matPrefix>model_training</mat-icon>
</mat-form-field>
<!-- Speech Timeout -->
<div class="slider-field">
<label>Speech Timeout: {{ sttSettings.speech_timeout_ms }}ms</label>
<mat-slider
[min]="500"
[max]="5000"
[step]="100"
[discrete]="true"
[displayWith]="formatMilliseconds"
>
<input matSliderThumb
name="sttSpeechTimeout"
[(ngModel)]="sttSettings.speech_timeout_ms">
</mat-slider>
<mat-hint>Silence duration to end speech detection</mat-hint>
</div>
<!-- VAD Sensitivity -->
<div class="slider-field">
<label>Voice Activity Detection Sensitivity: {{ sttSettings.vad_sensitivity }}</label>
<mat-slider
[min]="0"
[max]="1"
[step]="0.1"
[discrete]="true"
>
<input matSliderThumb
name="sttVadSensitivity"
[(ngModel)]="sttSettings.vad_sensitivity">
</mat-slider>
<mat-hint>Higher values = more sensitive</mat-hint>
</div>
<!-- Noise Reduction Level -->
<div class="slider-field">
<label>Noise Reduction Level: {{ sttSettings.noise_reduction_level }}</label>
<mat-slider
[min]="0"
[max]="3"
[step]="1"
[discrete]="true"
>
<input matSliderThumb
name="sttNoiseReduction"
[(ngModel)]="sttSettings.noise_reduction_level">
</mat-slider>
<mat-hint>0 = Off, 3 = Maximum</mat-hint>
</div>
<!-- Checkboxes -->
<div class="checkbox-group">
<mat-checkbox
name="sttUseEnhanced"
[(ngModel)]="sttSettings.use_enhanced"
[disabled]="loading"
*ngIf="environment.stt_engine === 'google'">
Use Enhanced Model
</mat-checkbox>
<mat-checkbox
name="sttEnablePunctuation"
[(ngModel)]="sttSettings.enable_punctuation"
[disabled]="loading">
Enable Automatic Punctuation
</mat-checkbox>
<mat-checkbox
name="sttInterimResults"
[(ngModel)]="sttSettings.interim_results"
[disabled]="loading">
Show Interim Results
</mat-checkbox>
</div>
</div>
</mat-expansion-panel>
</div>
<mat-expansion-panel class="prompt-panel">
<mat-expansion-panel-header>
<mat-panel-title>
<mat-icon>psychology</mat-icon>
Internal System Prompt
</mat-panel-title>
<mat-panel-description>
Advanced configuration for LLM
</mat-panel-description>
</mat-expansion-panel-header>
<mat-form-field appearance="outline" class="full-width">
<mat-label>Internal Prompt</mat-label>
<textarea
matInput
name="internalPrompt"
[(ngModel)]="environment.internal_prompt"
[disabled]="loading"
rows="10"
placeholder="Enter internal system prompt..."
></textarea>
<mat-hint>This prompt will be prepended to all project prompts</mat-hint>
</mat-form-field>
</mat-expansion-panel>
<!-- Parameter Collection Configuration -->
<mat-expansion-panel class="prompt-panel">
<mat-expansion-panel-header>
<mat-panel-title>
<mat-icon>psychology</mat-icon>
Parameter Collection Configuration
</mat-panel-title>
<mat-panel-description>
Configure smart parameter collection behavior
</mat-panel-description>
</mat-expansion-panel-header>
<div class="param-collection-content">
<div class="config-grid">
<!-- Max Parameters Per Question -->
<div class="slider-field">
<label>Max Parameters Per Question: {{ parameterCollectionConfig.max_params_per_question }}</label>
<mat-slider
[min]="1"
[max]="5"
[step]="1"
[discrete]="true"
>
<input matSliderThumb
name="maxParamsPerQuestion"
[(ngModel)]="parameterCollectionConfig.max_params_per_question">
</mat-slider>
<mat-hint>Maximum number of parameters to ask in one question</mat-hint>
</div>
<!-- Smart Grouping -->
<mat-checkbox
name="smartGrouping"
[(ngModel)]="parameterCollectionConfig.smart_grouping"
[disabled]="loading"
class="collection-checkbox">
Smart Grouping
<mat-hint>Automatically group related parameters (e.g., from/to cities)</mat-hint>
</mat-checkbox>
<!-- Retry Unanswered -->
<mat-checkbox
name="retryUnanswered"
[(ngModel)]="parameterCollectionConfig.retry_unanswered"
[disabled]="loading"
class="collection-checkbox">
Retry Unanswered Parameters
<mat-hint>Re-ask parameters that the user didn't answer</mat-hint>
</mat-checkbox>
</div>
<!-- Collection Prompt Template -->
<mat-form-field appearance="outline" class="full-width">
<mat-label>Collection Prompt Template</mat-label>
<textarea
matInput
name="collectionPrompt"
[(ngModel)]="parameterCollectionConfig.collection_prompt"
[disabled]="loading"
rows="12"
placeholder="Enter the prompt template for generating parameter questions..."
class="code-textarea"
></textarea>
<mat-hint>
Available variables: {{conversation_history}}, {{intent_name}}, {{intent_caption}},
{{collected_params}}, {{missing_params}}, {{unanswered_params}}, {{max_params}}, {{project_language}}
</mat-hint>
</mat-form-field>
<!-- Template Variables Help -->
<mat-expansion-panel class="help-panel">
<mat-expansion-panel-header>
<mat-panel-title>
<mat-icon>help_outline</mat-icon>
Template Variables Reference
</mat-panel-title>
</mat-expansion-panel-header>
<mat-list>
<mat-list-item>
<mat-icon matListItemIcon>code</mat-icon>
<div matListItemTitle><code>{{conversation_history}}</code></div>
<div matListItemLine>Recent conversation between user and assistant</div>
</mat-list-item>
<mat-list-item>
<mat-icon matListItemIcon>code</mat-icon>
<div matListItemTitle><code>{{intent_name}}</code></div>
<div matListItemLine>Technical name of the detected intent</div>
</mat-list-item>
<mat-list-item>
<mat-icon matListItemIcon>code</mat-icon>
<div matListItemTitle><code>{{intent_caption}}</code></div>
<div matListItemLine>Human-readable caption of the intent</div>
</mat-list-item>
<mat-list-item>
<mat-icon matListItemIcon>code</mat-icon>
<div matListItemTitle><code>{{collected_params}}</code></div>
<div matListItemLine>Parameters already collected with their values</div>
</mat-list-item>
<mat-list-item>
<mat-icon matListItemIcon>code</mat-icon>
<div matListItemTitle><code>{{missing_params}}</code></div>
<div matListItemLine>Parameters still needed to complete the request</div>
</mat-list-item>
<mat-list-item>
<mat-icon matListItemIcon>code</mat-icon>
<div matListItemTitle><code>{{unanswered_params}}</code></div>
<div matListItemLine>Parameters asked before but not answered by user</div>
</mat-list-item>
<mat-list-item>
<mat-icon matListItemIcon>code</mat-icon>
<div matListItemTitle><code>{{max_params}}</code></div>
<div matListItemLine>Maximum number of parameters to ask in one question</div>
</mat-list-item>
<mat-list-item>
<mat-icon matListItemIcon>code</mat-icon>
<div matListItemTitle><code>{{project_language}}</code></div>
<div matListItemLine>Language setting of the current project</div>
</mat-list-item>
</mat-list>
</mat-expansion-panel>
<!-- Reset to Default Button -->
<button mat-stroked-button type="button" (click)="resetCollectionPrompt()" [disabled]="loading">
<mat-icon>restore</mat-icon>
Reset to Default Template
</button>
</div>
</mat-expansion-panel>
<div class="form-actions">
<button
mat-raised-button
color="primary"
type="submit"
[disabled]="loading || !envForm.valid || saving"
>
@if (saving) {
<mat-spinner diameter="20"></mat-spinner>
Saving...
} @else {
<mat-icon>save</mat-icon>
Save
}
</button>
<button
mat-raised-button
type="button"
(click)="reloadFromSpark()"
[disabled]="loading || isGPTMode()"
>
<mat-icon>refresh</mat-icon>
Reload from Spark
</button>
</div>
</form>
</mat-card-content>
</mat-card>
</div> |