mirror of
https://github.com/Routstr/routstr-core.git
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chore: remove the disabled API Endpoints testing tab from the models page
This commit is contained in:
9qeklajc
@@ -1,699 +0,0 @@
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import type { ChangeEvent, Dispatch, SetStateAction } from 'react';
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import Image from 'next/image';
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import { Alert, AlertDescription } from '@/components/ui/alert';
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import { Badge } from '@/components/ui/badge';
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import { Button } from '@/components/ui/button';
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import { Input } from '@/components/ui/input';
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import { Label } from '@/components/ui/label';
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import {
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Select,
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SelectContent,
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SelectItem,
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SelectTrigger,
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SelectValue,
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} from '@/components/ui/select';
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import { Textarea } from '@/components/ui/textarea';
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import { Image as ImageIcon, List, Mic, MicOff, Volume2 } from 'lucide-react';
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import type { EndpointType } from '@/components/api-endpoint-types';
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interface ApiEndpointFormProps {
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selectedEndpoint: EndpointType;
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maxTokens: number;
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setMaxTokens: Dispatch<SetStateAction<number>>;
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temperature: number;
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setTemperature: Dispatch<SetStateAction<number>>;
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systemMessage: string;
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setSystemMessage: Dispatch<SetStateAction<string>>;
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userMessage: string;
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setUserMessage: Dispatch<SetStateAction<string>>;
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visionMaxTokens: number;
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setVisionMaxTokens: Dispatch<SetStateAction<number>>;
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visionTemperature: number;
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setVisionTemperature: Dispatch<SetStateAction<number>>;
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visionSystemMessage: string;
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setVisionSystemMessage: Dispatch<SetStateAction<string>>;
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visionUserMessage: string;
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setVisionUserMessage: Dispatch<SetStateAction<string>>;
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imageDetail: 'low' | 'high' | 'auto';
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setImageDetail: Dispatch<SetStateAction<'low' | 'high' | 'auto'>>;
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selectedImage: File | null;
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imagePreviewUrl: string | null;
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onImageUpload: (event: ChangeEvent<HTMLInputElement>) => void;
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onRemoveImage: () => void;
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embeddingInput: string;
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setEmbeddingInput: Dispatch<SetStateAction<string>>;
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encodingFormat: 'float' | 'base64';
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setEncodingFormat: Dispatch<SetStateAction<'float' | 'base64'>>;
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imageCount: number;
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setImageCount: Dispatch<SetStateAction<number>>;
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imageSize: '256x256' | '512x512' | '1024x1024' | '1792x1024' | '1024x1792';
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setImageSize: Dispatch<
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SetStateAction<
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'256x256' | '512x512' | '1024x1024' | '1792x1024' | '1024x1792'
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>
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>;
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imageQuality: 'standard' | 'hd';
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setImageQuality: Dispatch<SetStateAction<'standard' | 'hd'>>;
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imageStyle: 'vivid' | 'natural';
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setImageStyle: Dispatch<SetStateAction<'vivid' | 'natural'>>;
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imagePrompt: string;
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setImagePrompt: Dispatch<SetStateAction<string>>;
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speechVoice: 'alloy' | 'echo' | 'fable' | 'onyx' | 'nova' | 'shimmer';
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setSpeechVoice: Dispatch<
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SetStateAction<'alloy' | 'echo' | 'fable' | 'onyx' | 'nova' | 'shimmer'>
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>;
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speechFormat: 'mp3' | 'opus' | 'aac' | 'flac' | 'wav' | 'pcm';
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setSpeechFormat: Dispatch<
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SetStateAction<'mp3' | 'opus' | 'aac' | 'flac' | 'wav' | 'pcm'>
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>;
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speechSpeed: number;
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setSpeechSpeed: Dispatch<SetStateAction<number>>;
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speechInput: string;
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setSpeechInput: Dispatch<SetStateAction<string>>;
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audioTranscriptionPrompt: string;
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setAudioTranscriptionPrompt: Dispatch<SetStateAction<string>>;
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audioTemperature: number;
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setAudioTemperature: Dispatch<SetStateAction<number>>;
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audioLanguage: string;
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setAudioLanguage: Dispatch<SetStateAction<string>>;
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audioResponseFormat: 'json' | 'text' | 'srt' | 'verbose_json' | 'vtt';
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setAudioResponseFormat: Dispatch<
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SetStateAction<'json' | 'text' | 'srt' | 'verbose_json' | 'vtt'>
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>;
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isRecording: boolean;
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onStartRecording: () => void;
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onStopRecording: () => void;
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onAudioUpload: (event: ChangeEvent<HTMLInputElement>) => void;
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recordedAudio: File | null;
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recordingUrl: string | null;
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onRemoveAudio: () => void;
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}
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export function ApiEndpointForm({
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selectedEndpoint,
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maxTokens,
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setMaxTokens,
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temperature,
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setTemperature,
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systemMessage,
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setSystemMessage,
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userMessage,
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setUserMessage,
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visionMaxTokens,
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setVisionMaxTokens,
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visionTemperature,
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setVisionTemperature,
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visionSystemMessage,
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setVisionSystemMessage,
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visionUserMessage,
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setVisionUserMessage,
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imageDetail,
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setImageDetail,
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selectedImage,
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imagePreviewUrl,
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onImageUpload,
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onRemoveImage,
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embeddingInput,
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setEmbeddingInput,
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encodingFormat,
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setEncodingFormat,
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imageCount,
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setImageCount,
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imageSize,
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setImageSize,
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imageQuality,
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setImageQuality,
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imageStyle,
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setImageStyle,
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imagePrompt,
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setImagePrompt,
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speechVoice,
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setSpeechVoice,
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speechFormat,
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setSpeechFormat,
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speechSpeed,
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setSpeechSpeed,
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speechInput,
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setSpeechInput,
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audioTranscriptionPrompt,
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setAudioTranscriptionPrompt,
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audioTemperature,
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setAudioTemperature,
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audioLanguage,
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setAudioLanguage,
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audioResponseFormat,
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setAudioResponseFormat,
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isRecording,
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onStartRecording,
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onStopRecording,
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onAudioUpload,
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recordedAudio,
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recordingUrl,
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onRemoveAudio,
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}: ApiEndpointFormProps) {
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switch (selectedEndpoint) {
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case 'chat-completions':
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return (
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<div className='space-y-4'>
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<div className='grid grid-cols-1 gap-4 md:grid-cols-2'>
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<div className='space-y-2'>
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<Label htmlFor='max-tokens'>Max Tokens</Label>
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<Input
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id='max-tokens'
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type='number'
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min={1}
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max={4000}
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value={maxTokens}
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onChange={(event) =>
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setMaxTokens(parseInt(event.target.value) || 150)
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}
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/>
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</div>
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<div className='space-y-2'>
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<Label htmlFor='temperature'>Temperature</Label>
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<Input
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id='temperature'
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type='number'
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min={0}
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max={2}
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step={0.1}
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value={temperature}
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onChange={(event) =>
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setTemperature(parseFloat(event.target.value) || 0.7)
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}
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/>
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</div>
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</div>
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<div className='space-y-2'>
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<Label htmlFor='system-message'>System Message (Optional)</Label>
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<Textarea
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id='system-message'
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placeholder='Enter system message...'
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value={systemMessage}
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onChange={(event) => setSystemMessage(event.target.value)}
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rows={2}
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/>
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</div>
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<div className='space-y-2'>
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<Label htmlFor='user-message'>Test Message</Label>
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<Textarea
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id='user-message'
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placeholder='Enter your test message...'
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value={userMessage}
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onChange={(event) => setUserMessage(event.target.value)}
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rows={3}
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/>
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</div>
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</div>
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);
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case 'vision-chat':
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return (
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<div className='space-y-4'>
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<div className='grid grid-cols-1 gap-4 md:grid-cols-2'>
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<div className='space-y-2'>
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<Label htmlFor='vision-max-tokens'>Max Tokens</Label>
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<Input
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id='vision-max-tokens'
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type='number'
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min={1}
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max={4000}
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value={visionMaxTokens}
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onChange={(event) =>
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setVisionMaxTokens(parseInt(event.target.value) || 300)
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}
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/>
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</div>
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<div className='space-y-2'>
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<Label htmlFor='vision-temperature'>Temperature</Label>
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<Input
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id='vision-temperature'
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type='number'
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min={0}
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max={2}
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step={0.1}
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value={visionTemperature}
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onChange={(event) =>
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setVisionTemperature(parseFloat(event.target.value) || 0.7)
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}
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/>
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</div>
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</div>
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<div className='space-y-2'>
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<Label htmlFor='vision-system-message'>
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System Message (Optional)
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</Label>
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<Textarea
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id='vision-system-message'
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placeholder='Enter system message...'
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value={visionSystemMessage}
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onChange={(event) => setVisionSystemMessage(event.target.value)}
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rows={2}
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/>
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</div>
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<div className='space-y-2'>
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<Label htmlFor='vision-user-message'>Test Message</Label>
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<Textarea
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id='vision-user-message'
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placeholder='Enter your test message...'
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value={visionUserMessage}
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onChange={(event) => setVisionUserMessage(event.target.value)}
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rows={3}
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/>
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</div>
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<div className='space-y-2'>
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<Label htmlFor='image-detail'>Image Detail</Label>
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<Select
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value={imageDetail}
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onValueChange={(value: 'low' | 'high' | 'auto') =>
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setImageDetail(value)
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}
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>
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<SelectTrigger>
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<SelectValue />
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</SelectTrigger>
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<SelectContent>
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<SelectItem value='low'>Low</SelectItem>
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<SelectItem value='high'>High</SelectItem>
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<SelectItem value='auto'>Auto</SelectItem>
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</SelectContent>
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</Select>
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</div>
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<div className='space-y-2'>
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<Label htmlFor='image-upload'>Upload Image (Optional)</Label>
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<Input
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type='file'
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accept='image/*'
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onChange={onImageUpload}
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className='cursor-pointer'
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/>
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{selectedImage && (
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<div className='mt-2 flex flex-wrap items-center gap-2'>
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<ImageIcon className='text-muted-foreground h-5 w-5' />
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<span className='text-muted-foreground text-sm'>
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Selected image: {selectedImage.name}
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</span>
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<Button
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variant='outline'
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size='sm'
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onClick={onRemoveImage}
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className='ml-0 sm:ml-auto'
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>
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Remove
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</Button>
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</div>
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)}
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{imagePreviewUrl && (
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<div className='relative mt-2 aspect-square w-32 overflow-hidden rounded-md border'>
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<Image
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src={imagePreviewUrl}
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alt='Image preview'
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fill
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className='object-cover'
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/>
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</div>
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)}
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</div>
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</div>
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);
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case 'embeddings':
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return (
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<div className='space-y-4'>
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<div className='space-y-2'>
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<Label htmlFor='encoding-format'>Encoding Format</Label>
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<Select
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value={encodingFormat}
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onValueChange={(value: 'float' | 'base64') =>
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setEncodingFormat(value)
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}
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>
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<SelectTrigger>
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<SelectValue />
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</SelectTrigger>
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<SelectContent>
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<SelectItem value='float'>Float</SelectItem>
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<SelectItem value='base64'>Base64</SelectItem>
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</SelectContent>
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</Select>
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</div>
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<div className='space-y-2'>
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<Label htmlFor='embedding-input'>Text Input</Label>
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<Textarea
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id='embedding-input'
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placeholder='Enter text to generate embeddings for...'
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value={embeddingInput}
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onChange={(event) => setEmbeddingInput(event.target.value)}
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rows={4}
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/>
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</div>
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</div>
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);
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case 'images':
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return (
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<div className='space-y-4'>
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<div className='grid grid-cols-1 gap-4 md:grid-cols-2 lg:grid-cols-3'>
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<div className='space-y-2'>
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<Label htmlFor='image-count'>Number of Images</Label>
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<Input
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id='image-count'
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type='number'
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min={1}
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max={10}
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value={imageCount}
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onChange={(event) =>
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setImageCount(parseInt(event.target.value) || 1)
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}
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/>
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</div>
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<div className='space-y-2'>
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<Label htmlFor='image-size'>Size</Label>
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<Select
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||||
value={imageSize}
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onValueChange={(
|
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value:
|
||||
| '256x256'
|
||||
| '512x512'
|
||||
| '1024x1024'
|
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| '1792x1024'
|
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| '1024x1792'
|
||||
) => setImageSize(value)}
|
||||
>
|
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<SelectTrigger>
|
||||
<SelectValue />
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
<SelectItem value='256x256'>256x256</SelectItem>
|
||||
<SelectItem value='512x512'>512x512</SelectItem>
|
||||
<SelectItem value='1024x1024'>1024x1024</SelectItem>
|
||||
<SelectItem value='1792x1024'>1792x1024</SelectItem>
|
||||
<SelectItem value='1024x1792'>1024x1792</SelectItem>
|
||||
</SelectContent>
|
||||
</Select>
|
||||
</div>
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||||
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='image-quality'>Quality</Label>
|
||||
<Select
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||||
value={imageQuality}
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||||
onValueChange={(value: 'standard' | 'hd') =>
|
||||
setImageQuality(value)
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||||
}
|
||||
>
|
||||
<SelectTrigger>
|
||||
<SelectValue />
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
<SelectItem value='standard'>Standard</SelectItem>
|
||||
<SelectItem value='hd'>HD</SelectItem>
|
||||
</SelectContent>
|
||||
</Select>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='image-style'>Style</Label>
|
||||
<Select
|
||||
value={imageStyle}
|
||||
onValueChange={(value: 'vivid' | 'natural') =>
|
||||
setImageStyle(value)
|
||||
}
|
||||
>
|
||||
<SelectTrigger>
|
||||
<SelectValue />
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
<SelectItem value='vivid'>Vivid</SelectItem>
|
||||
<SelectItem value='natural'>Natural</SelectItem>
|
||||
</SelectContent>
|
||||
</Select>
|
||||
</div>
|
||||
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='image-prompt'>Image Prompt</Label>
|
||||
<Textarea
|
||||
id='image-prompt'
|
||||
placeholder='Describe the image you want to generate...'
|
||||
value={imagePrompt}
|
||||
onChange={(event) => setImagePrompt(event.target.value)}
|
||||
rows={3}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
|
||||
case 'audio-speech':
|
||||
return (
|
||||
<div className='space-y-4'>
|
||||
<div className='grid grid-cols-1 gap-4 md:grid-cols-3'>
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='speech-voice'>Voice</Label>
|
||||
<Select
|
||||
value={speechVoice}
|
||||
onValueChange={(
|
||||
value:
|
||||
| 'alloy'
|
||||
| 'echo'
|
||||
| 'fable'
|
||||
| 'onyx'
|
||||
| 'nova'
|
||||
| 'shimmer'
|
||||
) => setSpeechVoice(value)}
|
||||
>
|
||||
<SelectTrigger>
|
||||
<SelectValue />
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
<SelectItem value='alloy'>Alloy</SelectItem>
|
||||
<SelectItem value='echo'>Echo</SelectItem>
|
||||
<SelectItem value='fable'>Fable</SelectItem>
|
||||
<SelectItem value='onyx'>Onyx</SelectItem>
|
||||
<SelectItem value='nova'>Nova</SelectItem>
|
||||
<SelectItem value='shimmer'>Shimmer</SelectItem>
|
||||
</SelectContent>
|
||||
</Select>
|
||||
</div>
|
||||
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='speech-format'>Response Format</Label>
|
||||
<Select
|
||||
value={speechFormat}
|
||||
onValueChange={(
|
||||
value: 'mp3' | 'opus' | 'aac' | 'flac' | 'wav' | 'pcm'
|
||||
) => setSpeechFormat(value)}
|
||||
>
|
||||
<SelectTrigger>
|
||||
<SelectValue />
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
<SelectItem value='mp3'>MP3</SelectItem>
|
||||
<SelectItem value='opus'>Opus</SelectItem>
|
||||
<SelectItem value='aac'>AAC</SelectItem>
|
||||
<SelectItem value='flac'>FLAC</SelectItem>
|
||||
<SelectItem value='wav'>WAV</SelectItem>
|
||||
<SelectItem value='pcm'>PCM</SelectItem>
|
||||
</SelectContent>
|
||||
</Select>
|
||||
</div>
|
||||
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='speech-speed'>Speed</Label>
|
||||
<Input
|
||||
id='speech-speed'
|
||||
type='number'
|
||||
min={0.25}
|
||||
max={4.0}
|
||||
step={0.25}
|
||||
value={speechSpeed}
|
||||
onChange={(event) =>
|
||||
setSpeechSpeed(parseFloat(event.target.value) || 1.0)
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='speech-input'>Text to Synthesize</Label>
|
||||
<Textarea
|
||||
id='speech-input'
|
||||
placeholder='Enter text to convert to speech...'
|
||||
value={speechInput}
|
||||
onChange={(event) => setSpeechInput(event.target.value)}
|
||||
rows={4}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
|
||||
case 'audio-transcription':
|
||||
return (
|
||||
<div className='space-y-4'>
|
||||
<div className='grid grid-cols-1 gap-4 md:grid-cols-2'>
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='audio-transcription-prompt'>
|
||||
Prompt (Optional)
|
||||
</Label>
|
||||
<Textarea
|
||||
id='audio-transcription-prompt'
|
||||
placeholder='Enter a prompt for the transcription...'
|
||||
value={audioTranscriptionPrompt}
|
||||
onChange={(event) =>
|
||||
setAudioTranscriptionPrompt(event.target.value)
|
||||
}
|
||||
rows={2}
|
||||
/>
|
||||
</div>
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='audio-transcription-temperature'>
|
||||
Temperature
|
||||
</Label>
|
||||
<Input
|
||||
id='audio-transcription-temperature'
|
||||
type='number'
|
||||
min={0}
|
||||
max={1}
|
||||
step={0.1}
|
||||
value={audioTemperature}
|
||||
onChange={(event) =>
|
||||
setAudioTemperature(parseFloat(event.target.value) || 0.0)
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='audio-transcription-language'>
|
||||
Language (Optional)
|
||||
</Label>
|
||||
<Input
|
||||
id='audio-transcription-language'
|
||||
placeholder='e.g., en-US, fr-FR'
|
||||
value={audioLanguage}
|
||||
onChange={(event) => setAudioLanguage(event.target.value)}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='audio-transcription-response-format'>
|
||||
Response Format
|
||||
</Label>
|
||||
<Select
|
||||
value={audioResponseFormat}
|
||||
onValueChange={(
|
||||
value: 'json' | 'text' | 'srt' | 'verbose_json' | 'vtt'
|
||||
) => setAudioResponseFormat(value)}
|
||||
>
|
||||
<SelectTrigger>
|
||||
<SelectValue />
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
<SelectItem value='json'>JSON</SelectItem>
|
||||
<SelectItem value='text'>Text</SelectItem>
|
||||
<SelectItem value='srt'>SRT</SelectItem>
|
||||
<SelectItem value='verbose_json'>Verbose JSON</SelectItem>
|
||||
<SelectItem value='vtt'>VTT</SelectItem>
|
||||
</SelectContent>
|
||||
</Select>
|
||||
</div>
|
||||
|
||||
<div className='space-y-4'>
|
||||
<div className='space-y-2'>
|
||||
<Label>Voice Recording</Label>
|
||||
<div className='flex flex-wrap items-center gap-2'>
|
||||
<Button
|
||||
type='button'
|
||||
variant={isRecording ? 'destructive' : 'default'}
|
||||
size='sm'
|
||||
onClick={isRecording ? onStopRecording : onStartRecording}
|
||||
className='flex items-center gap-2'
|
||||
>
|
||||
{isRecording ? (
|
||||
<>
|
||||
<MicOff className='h-4 w-4' />
|
||||
Stop Recording
|
||||
</>
|
||||
) : (
|
||||
<>
|
||||
<Mic className='h-4 w-4' />
|
||||
Start Recording
|
||||
</>
|
||||
)}
|
||||
</Button>
|
||||
{isRecording && (
|
||||
<Badge variant='destructive' className='gap-1.5'>
|
||||
<span className='h-2 w-2 animate-pulse rounded-full bg-current' />
|
||||
Recording...
|
||||
</Badge>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='audio-transcription-upload'>
|
||||
Or Upload Audio File
|
||||
</Label>
|
||||
<Input
|
||||
type='file'
|
||||
accept='audio/*'
|
||||
onChange={onAudioUpload}
|
||||
className='cursor-pointer'
|
||||
/>
|
||||
{recordedAudio && (
|
||||
<div className='mt-2 flex flex-wrap items-center gap-2'>
|
||||
<Volume2 className='text-muted-foreground h-5 w-5' />
|
||||
<span className='text-muted-foreground text-sm'>
|
||||
Selected audio: {recordedAudio.name}
|
||||
</span>
|
||||
<Button
|
||||
variant='outline'
|
||||
size='sm'
|
||||
onClick={onRemoveAudio}
|
||||
className='ml-0 sm:ml-auto'
|
||||
>
|
||||
Remove
|
||||
</Button>
|
||||
</div>
|
||||
)}
|
||||
{recordingUrl && (
|
||||
<div className='bg-muted mt-2 rounded-md p-4'>
|
||||
<audio controls src={recordingUrl} className='w-full'>
|
||||
Your browser does not support the audio element.
|
||||
</audio>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
|
||||
case 'models':
|
||||
return (
|
||||
<div className='space-y-4'>
|
||||
<Alert>
|
||||
<List className='h-4 w-4' />
|
||||
<AlertDescription>
|
||||
This endpoint lists all available models from the provider. No
|
||||
additional parameters are required.
|
||||
</AlertDescription>
|
||||
</Alert>
|
||||
</div>
|
||||
);
|
||||
|
||||
default:
|
||||
return null;
|
||||
}
|
||||
}
|
||||
@@ -1,306 +0,0 @@
|
||||
import Image from 'next/image';
|
||||
import { Label } from '@/components/ui/label';
|
||||
|
||||
export interface ChatCompletionResponse {
|
||||
id: string;
|
||||
object: string;
|
||||
created: number;
|
||||
model: string;
|
||||
choices: {
|
||||
index: number;
|
||||
message: {
|
||||
role: string;
|
||||
content: string;
|
||||
};
|
||||
finish_reason: string;
|
||||
}[];
|
||||
usage?: {
|
||||
prompt_tokens: number;
|
||||
completion_tokens: number;
|
||||
total_tokens: number;
|
||||
};
|
||||
}
|
||||
|
||||
export interface EmbeddingResponse {
|
||||
object: string;
|
||||
data: {
|
||||
object: string;
|
||||
index: number;
|
||||
embedding: number[];
|
||||
}[];
|
||||
model: string;
|
||||
usage: {
|
||||
prompt_tokens: number;
|
||||
total_tokens: number;
|
||||
};
|
||||
}
|
||||
|
||||
export interface ImageGenerationResponse {
|
||||
created: number;
|
||||
data: {
|
||||
url: string;
|
||||
revised_prompt?: string;
|
||||
}[];
|
||||
}
|
||||
|
||||
export interface AudioResponse {
|
||||
type: 'audio';
|
||||
url: string;
|
||||
size: number;
|
||||
}
|
||||
|
||||
export interface AudioTranscriptionResponse {
|
||||
text: string;
|
||||
}
|
||||
|
||||
export interface ModelsListResponse {
|
||||
object: string;
|
||||
data: {
|
||||
id: string;
|
||||
object?: string;
|
||||
created?: number;
|
||||
}[];
|
||||
}
|
||||
|
||||
export type ApiResponse =
|
||||
| ChatCompletionResponse
|
||||
| EmbeddingResponse
|
||||
| ImageGenerationResponse
|
||||
| AudioResponse
|
||||
| AudioTranscriptionResponse
|
||||
| ModelsListResponse;
|
||||
|
||||
const isAudioResponse = (response: ApiResponse): response is AudioResponse => {
|
||||
return 'type' in response && response.type === 'audio';
|
||||
};
|
||||
|
||||
const isChatCompletionResponse = (
|
||||
response: ApiResponse
|
||||
): response is ChatCompletionResponse => {
|
||||
return 'choices' in response;
|
||||
};
|
||||
|
||||
const isEmbeddingResponse = (
|
||||
response: ApiResponse
|
||||
): response is EmbeddingResponse => {
|
||||
return (
|
||||
'data' in response &&
|
||||
Array.isArray(response.data) &&
|
||||
response.data.length > 0 &&
|
||||
'embedding' in response.data[0]
|
||||
);
|
||||
};
|
||||
|
||||
const isImageGenerationResponse = (
|
||||
response: ApiResponse
|
||||
): response is ImageGenerationResponse => {
|
||||
return (
|
||||
'data' in response &&
|
||||
Array.isArray(response.data) &&
|
||||
response.data.length > 0 &&
|
||||
'url' in response.data[0]
|
||||
);
|
||||
};
|
||||
|
||||
const isModelsListResponse = (
|
||||
response: ApiResponse
|
||||
): response is ModelsListResponse => {
|
||||
return (
|
||||
'data' in response &&
|
||||
Array.isArray(response.data) &&
|
||||
response.data.length > 0 &&
|
||||
'id' in response.data[0]
|
||||
);
|
||||
};
|
||||
|
||||
const isAudioTranscriptionResponse = (
|
||||
response: ApiResponse
|
||||
): response is AudioTranscriptionResponse => {
|
||||
return 'text' in response;
|
||||
};
|
||||
|
||||
export function ApiEndpointResponse({
|
||||
response,
|
||||
}: {
|
||||
response: ApiResponse | null;
|
||||
}) {
|
||||
if (!response) {
|
||||
return null;
|
||||
}
|
||||
|
||||
if (isAudioResponse(response)) {
|
||||
return (
|
||||
<div className='space-y-4'>
|
||||
<div className='space-y-2'>
|
||||
<Label>Generated Audio</Label>
|
||||
<div className='bg-muted rounded-md p-4'>
|
||||
<audio controls src={response.url} className='w-full'>
|
||||
Your browser does not support the audio element.
|
||||
</audio>
|
||||
<p className='text-muted-foreground mt-2 text-sm'>
|
||||
Audio file size: {(response.size / 1024).toFixed(2)} KB
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
if (isAudioTranscriptionResponse(response)) {
|
||||
return (
|
||||
<div className='space-y-4'>
|
||||
<div className='space-y-2'>
|
||||
<Label>Transcription Result</Label>
|
||||
<div className='bg-muted rounded-md p-4'>
|
||||
<p className='text-sm whitespace-pre-wrap'>
|
||||
{response.text || 'No transcription result available'}
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
if (isChatCompletionResponse(response)) {
|
||||
return (
|
||||
<div className='space-y-4'>
|
||||
<div className='space-y-2'>
|
||||
<Label>Model Response</Label>
|
||||
<div className='bg-muted rounded-md p-4'>
|
||||
<p className='text-sm whitespace-pre-wrap'>
|
||||
{response.choices?.[0]?.message?.content ||
|
||||
'No content in response'}
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{response.usage && (
|
||||
<div className='space-y-2'>
|
||||
<Label>Usage Statistics</Label>
|
||||
<div className='grid grid-cols-1 gap-2 text-sm sm:grid-cols-3 sm:gap-4'>
|
||||
<div className='bg-muted rounded p-2 text-center'>
|
||||
<div className='font-semibold'>
|
||||
{response.usage.prompt_tokens}
|
||||
</div>
|
||||
<div className='text-muted-foreground'>Prompt Tokens</div>
|
||||
</div>
|
||||
<div className='bg-muted rounded p-2 text-center'>
|
||||
<div className='font-semibold'>
|
||||
{response.usage.completion_tokens}
|
||||
</div>
|
||||
<div className='text-muted-foreground'>Completion Tokens</div>
|
||||
</div>
|
||||
<div className='bg-muted rounded p-2 text-center'>
|
||||
<div className='font-semibold'>
|
||||
{response.usage.total_tokens}
|
||||
</div>
|
||||
<div className='text-muted-foreground'>Total Tokens</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
if (isEmbeddingResponse(response)) {
|
||||
return (
|
||||
<div className='space-y-4'>
|
||||
<div className='space-y-2'>
|
||||
<Label>Embedding Vector</Label>
|
||||
<div className='bg-muted rounded-md p-4'>
|
||||
<p className='text-muted-foreground mb-2 text-sm'>
|
||||
Generated {response.data?.[0]?.embedding?.length || 0} dimensional
|
||||
embedding vector
|
||||
</p>
|
||||
<details className='group'>
|
||||
<summary className='hover:text-foreground cursor-pointer text-sm'>
|
||||
Show first 10 values
|
||||
</summary>
|
||||
<pre className='mt-2 text-xs'>
|
||||
{JSON.stringify(
|
||||
response.data?.[0]?.embedding?.slice(0, 10),
|
||||
null,
|
||||
2
|
||||
)}
|
||||
...
|
||||
</pre>
|
||||
</details>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{response.usage && (
|
||||
<div className='space-y-2'>
|
||||
<Label>Usage Statistics</Label>
|
||||
<div className='bg-muted rounded p-2 text-center text-sm'>
|
||||
<div className='font-semibold'>{response.usage.total_tokens}</div>
|
||||
<div className='text-muted-foreground'>Total Tokens</div>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
if (isImageGenerationResponse(response)) {
|
||||
return (
|
||||
<div className='space-y-4'>
|
||||
<div className='space-y-2'>
|
||||
<Label>Generated Images</Label>
|
||||
<div className='grid grid-cols-1 gap-4 md:grid-cols-2'>
|
||||
{response.data?.map((image, index: number) => (
|
||||
<div key={index} className='space-y-2'>
|
||||
<div className='relative aspect-square w-full'>
|
||||
<Image
|
||||
src={image.url}
|
||||
alt={`Generated image ${index + 1}`}
|
||||
fill
|
||||
className='rounded-md border object-cover'
|
||||
unoptimized={true}
|
||||
/>
|
||||
</div>
|
||||
{image.revised_prompt && (
|
||||
<p className='text-muted-foreground text-xs'>
|
||||
Revised prompt: {image.revised_prompt}
|
||||
</p>
|
||||
)}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
if (isModelsListResponse(response)) {
|
||||
return (
|
||||
<div className='space-y-4'>
|
||||
<div className='space-y-2'>
|
||||
<Label>Available Models</Label>
|
||||
<div className='max-h-60 overflow-auto'>
|
||||
<div className='grid gap-2'>
|
||||
{response.data?.map((model) => (
|
||||
<div key={model.id} className='bg-muted rounded-md p-3'>
|
||||
<div className='font-medium'>{model.id}</div>
|
||||
{model.object && (
|
||||
<div className='text-muted-foreground text-sm'>
|
||||
Type: {model.object}
|
||||
</div>
|
||||
)}
|
||||
{model.created && (
|
||||
<div className='text-muted-foreground text-sm'>
|
||||
Created:{' '}
|
||||
{new Date(model.created * 1000).toLocaleDateString()}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return null;
|
||||
}
|
||||
@@ -1,730 +0,0 @@
|
||||
'use client';
|
||||
|
||||
import React, { useState } from 'react';
|
||||
import { useMutation, useQuery } from '@tanstack/react-query';
|
||||
import { type Model } from '@/lib/api/schemas/models';
|
||||
import { ModelService } from '@/lib/api/services/models';
|
||||
import { Button } from '@/components/ui/button';
|
||||
import { Label } from '@/components/ui/label';
|
||||
import {
|
||||
Card,
|
||||
CardContent,
|
||||
CardDescription,
|
||||
CardHeader,
|
||||
CardTitle,
|
||||
} from '@/components/ui/card';
|
||||
import {
|
||||
Select,
|
||||
SelectContent,
|
||||
SelectItem,
|
||||
SelectTrigger,
|
||||
SelectValue,
|
||||
} from '@/components/ui/select';
|
||||
import { Badge } from '@/components/ui/badge';
|
||||
import { Alert, AlertDescription } from '@/components/ui/alert';
|
||||
import {
|
||||
Loader2,
|
||||
Send,
|
||||
CheckCircle,
|
||||
XCircle,
|
||||
Info,
|
||||
Key,
|
||||
Globe,
|
||||
} from 'lucide-react';
|
||||
import { toast } from 'sonner';
|
||||
import {
|
||||
ApiEndpointResponse,
|
||||
type ApiResponse,
|
||||
} from '@/components/api-endpoint-response';
|
||||
import { ApiEndpointForm } from '@/components/api-endpoint-form';
|
||||
import {
|
||||
API_ENDPOINTS,
|
||||
DEFAULT_REQUESTS,
|
||||
type EndpointType,
|
||||
type ChatCompletionRequest,
|
||||
type EmbeddingRequest,
|
||||
type ImageGenerationRequest,
|
||||
type AudioSpeechRequest,
|
||||
type AudioTranscriptionRequest,
|
||||
type EndpointRequestData,
|
||||
} from '@/components/api-endpoint-types';
|
||||
|
||||
interface ApiEndpointTesterProps {
|
||||
models: Model[];
|
||||
}
|
||||
|
||||
export function ApiEndpointTester({ models }: ApiEndpointTesterProps) {
|
||||
const [selectedModelId, setSelectedModelId] = useState<string>('');
|
||||
const [selectedEndpoint, setSelectedEndpoint] =
|
||||
useState<EndpointType>('chat-completions');
|
||||
const [response, setResponse] = useState<ApiResponse | null>(null);
|
||||
const [error, setError] = useState<string | null>(null);
|
||||
|
||||
// Chat Completions state
|
||||
const [systemMessage, setSystemMessage] = useState(
|
||||
DEFAULT_REQUESTS['chat-completions'].systemMessage
|
||||
);
|
||||
const [userMessage, setUserMessage] = useState(
|
||||
DEFAULT_REQUESTS['chat-completions'].userMessage
|
||||
);
|
||||
const [maxTokens, setMaxTokens] = useState(
|
||||
DEFAULT_REQUESTS['chat-completions'].maxTokens
|
||||
);
|
||||
const [temperature, setTemperature] = useState(
|
||||
DEFAULT_REQUESTS['chat-completions'].temperature
|
||||
);
|
||||
|
||||
// Vision Chat state
|
||||
const [visionSystemMessage, setVisionSystemMessage] = useState(
|
||||
DEFAULT_REQUESTS['vision-chat'].systemMessage
|
||||
);
|
||||
const [visionUserMessage, setVisionUserMessage] = useState(
|
||||
DEFAULT_REQUESTS['vision-chat'].userMessage
|
||||
);
|
||||
const [visionMaxTokens, setVisionMaxTokens] = useState(
|
||||
DEFAULT_REQUESTS['vision-chat'].maxTokens
|
||||
);
|
||||
const [visionTemperature, setVisionTemperature] = useState(
|
||||
DEFAULT_REQUESTS['vision-chat'].temperature
|
||||
);
|
||||
const [imageDetail, setImageDetail] = useState<'low' | 'high' | 'auto'>(
|
||||
DEFAULT_REQUESTS['vision-chat'].imageDetail
|
||||
);
|
||||
const [selectedImage, setSelectedImage] = useState<File | null>(null);
|
||||
const [imagePreviewUrl, setImagePreviewUrl] = useState<string | null>(null);
|
||||
|
||||
// Voice Recording state
|
||||
const [isRecording, setIsRecording] = useState(false);
|
||||
const [recordedAudio, setRecordedAudio] = useState<File | null>(null);
|
||||
const [recordingUrl, setRecordingUrl] = useState<string | null>(null);
|
||||
const [mediaRecorder, setMediaRecorder] = useState<MediaRecorder | null>(
|
||||
null
|
||||
);
|
||||
const [audioTranscriptionPrompt, setAudioTranscriptionPrompt] = useState(
|
||||
DEFAULT_REQUESTS['audio-transcription'].prompt
|
||||
);
|
||||
const [audioResponseFormat, setAudioResponseFormat] = useState<
|
||||
'json' | 'text' | 'srt' | 'verbose_json' | 'vtt'
|
||||
>(DEFAULT_REQUESTS['audio-transcription'].response_format);
|
||||
const [audioTemperature, setAudioTemperature] = useState(
|
||||
DEFAULT_REQUESTS['audio-transcription'].temperature
|
||||
);
|
||||
const [audioLanguage, setAudioLanguage] = useState(
|
||||
DEFAULT_REQUESTS['audio-transcription'].language
|
||||
);
|
||||
|
||||
// Embeddings state
|
||||
const [embeddingInput, setEmbeddingInput] = useState(
|
||||
DEFAULT_REQUESTS.embeddings.input
|
||||
);
|
||||
const [encodingFormat, setEncodingFormat] = useState<'float' | 'base64'>(
|
||||
DEFAULT_REQUESTS.embeddings.encoding_format
|
||||
);
|
||||
|
||||
// Image Generation state
|
||||
const [imagePrompt, setImagePrompt] = useState(
|
||||
DEFAULT_REQUESTS.images.prompt
|
||||
);
|
||||
const [imageCount, setImageCount] = useState(DEFAULT_REQUESTS.images.n);
|
||||
const [imageSize, setImageSize] = useState<
|
||||
'256x256' | '512x512' | '1024x1024' | '1792x1024' | '1024x1792'
|
||||
>(DEFAULT_REQUESTS.images.size);
|
||||
const [imageQuality, setImageQuality] = useState<'standard' | 'hd'>(
|
||||
DEFAULT_REQUESTS.images.quality
|
||||
);
|
||||
const [imageStyle, setImageStyle] = useState<'vivid' | 'natural'>(
|
||||
DEFAULT_REQUESTS.images.style
|
||||
);
|
||||
|
||||
// Audio Speech state
|
||||
const [speechInput, setSpeechInput] = useState(
|
||||
DEFAULT_REQUESTS['audio-speech'].input
|
||||
);
|
||||
const [speechVoice, setSpeechVoice] = useState<
|
||||
'alloy' | 'echo' | 'fable' | 'onyx' | 'nova' | 'shimmer'
|
||||
>(DEFAULT_REQUESTS['audio-speech'].voice);
|
||||
const [speechFormat, setSpeechFormat] = useState<
|
||||
'mp3' | 'opus' | 'aac' | 'flac' | 'wav' | 'pcm'
|
||||
>(DEFAULT_REQUESTS['audio-speech'].response_format);
|
||||
const [speechSpeed, setSpeechSpeed] = useState(
|
||||
DEFAULT_REQUESTS['audio-speech'].speed
|
||||
);
|
||||
|
||||
// Fetch model groups for API key resolution
|
||||
const { data: groups = [] } = useQuery({
|
||||
queryKey: ['model-groups'],
|
||||
queryFn: () => ModelService.getModelGroups(),
|
||||
refetchOnWindowFocus: false,
|
||||
});
|
||||
|
||||
const selectedModel = models.find((model) => model.id === selectedModelId);
|
||||
|
||||
// Image upload handler
|
||||
const handleImageUpload = (event: React.ChangeEvent<HTMLInputElement>) => {
|
||||
const file = event.target.files?.[0];
|
||||
if (file) {
|
||||
if (file.type.startsWith('image/')) {
|
||||
setSelectedImage(file);
|
||||
const previewUrl = URL.createObjectURL(file);
|
||||
setImagePreviewUrl(previewUrl);
|
||||
} else {
|
||||
toast.error('Please select a valid image file');
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// Audio file upload handler
|
||||
const handleAudioUpload = (event: React.ChangeEvent<HTMLInputElement>) => {
|
||||
const file = event.target.files?.[0];
|
||||
if (file) {
|
||||
if (file.type.startsWith('audio/')) {
|
||||
setRecordedAudio(file);
|
||||
const audioUrl = URL.createObjectURL(file);
|
||||
setRecordingUrl(audioUrl);
|
||||
} else {
|
||||
toast.error('Please select a valid audio file');
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
// Voice recording functions
|
||||
const startRecording = async () => {
|
||||
try {
|
||||
const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
|
||||
const recorder = new MediaRecorder(stream);
|
||||
const chunks: BlobPart[] = [];
|
||||
|
||||
recorder.ondataavailable = (event) => {
|
||||
if (event.data.size > 0) {
|
||||
chunks.push(event.data);
|
||||
}
|
||||
};
|
||||
|
||||
recorder.onstop = () => {
|
||||
const blob = new Blob(chunks, { type: 'audio/webm' });
|
||||
const file = new File([blob], 'recording.webm', { type: 'audio/webm' });
|
||||
setRecordedAudio(file);
|
||||
const audioUrl = URL.createObjectURL(blob);
|
||||
setRecordingUrl(audioUrl);
|
||||
|
||||
// Stop all tracks to release microphone
|
||||
stream.getTracks().forEach((track) => track.stop());
|
||||
};
|
||||
|
||||
recorder.start();
|
||||
setMediaRecorder(recorder);
|
||||
setIsRecording(true);
|
||||
toast.success('Recording started');
|
||||
} catch {
|
||||
toast.error(
|
||||
'Failed to start recording. Please check microphone permissions.'
|
||||
);
|
||||
}
|
||||
};
|
||||
|
||||
const stopRecording = () => {
|
||||
if (mediaRecorder) {
|
||||
mediaRecorder.stop();
|
||||
setMediaRecorder(null);
|
||||
setIsRecording(false);
|
||||
toast.success('Recording stopped');
|
||||
}
|
||||
};
|
||||
|
||||
// Convert file to base64 for vision API
|
||||
const fileToBase64 = (file: File): Promise<string> => {
|
||||
return new Promise((resolve, reject) => {
|
||||
const reader = new FileReader();
|
||||
reader.readAsDataURL(file);
|
||||
reader.onload = () => resolve(reader.result as string);
|
||||
reader.onerror = (error) => reject(error);
|
||||
});
|
||||
};
|
||||
|
||||
// Get effective API key and endpoint URL for the selected model
|
||||
const getModelCredentials = (model: Model) => {
|
||||
const group = groups.find((g) => g.provider === model.provider);
|
||||
|
||||
// Determine API key (individual takes precedence over group)
|
||||
const apiKey = model.api_key || group?.group_api_key;
|
||||
|
||||
// Determine base endpoint URL
|
||||
let baseUrl = model.url;
|
||||
|
||||
// If model URL is relative and group has a base URL, combine them
|
||||
if (model.url.startsWith('/') && group?.group_url) {
|
||||
baseUrl = `${group.group_url.replace(/\/$/, '')}${model.url}`;
|
||||
}
|
||||
|
||||
// Remove any existing endpoint path to get base URL
|
||||
baseUrl = baseUrl.replace(/\/v1\/.*$/, '').replace(/\/$/, '');
|
||||
|
||||
return {
|
||||
apiKey,
|
||||
baseUrl,
|
||||
group,
|
||||
};
|
||||
};
|
||||
|
||||
const buildEndpointUrl = (baseUrl: string, endpointPath: string) => {
|
||||
return `${baseUrl}${endpointPath}`;
|
||||
};
|
||||
|
||||
const buildRequest = async (): Promise<EndpointRequestData> => {
|
||||
if (!selectedModel) return null;
|
||||
|
||||
switch (selectedEndpoint) {
|
||||
case 'chat-completions':
|
||||
const messages = [];
|
||||
if (systemMessage.trim()) {
|
||||
messages.push({
|
||||
role: 'system' as const,
|
||||
content: systemMessage.trim(),
|
||||
});
|
||||
}
|
||||
messages.push({ role: 'user' as const, content: userMessage.trim() });
|
||||
|
||||
return {
|
||||
model: selectedModel.name,
|
||||
messages,
|
||||
max_tokens: maxTokens,
|
||||
temperature: temperature,
|
||||
} as ChatCompletionRequest;
|
||||
|
||||
case 'vision-chat':
|
||||
if (!selectedImage) {
|
||||
throw new Error('Please select an image for vision analysis');
|
||||
}
|
||||
|
||||
const imageBase64 = await fileToBase64(selectedImage);
|
||||
const visionMessages = [];
|
||||
|
||||
if (visionSystemMessage.trim()) {
|
||||
visionMessages.push({
|
||||
role: 'system' as const,
|
||||
content: visionSystemMessage.trim(),
|
||||
});
|
||||
}
|
||||
|
||||
visionMessages.push({
|
||||
role: 'user' as const,
|
||||
content: [
|
||||
{
|
||||
type: 'text' as const,
|
||||
text: visionUserMessage.trim(),
|
||||
},
|
||||
{
|
||||
type: 'image_url' as const,
|
||||
image_url: {
|
||||
url: imageBase64,
|
||||
detail: imageDetail,
|
||||
},
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
return {
|
||||
model: selectedModel.name,
|
||||
messages: visionMessages,
|
||||
max_tokens: visionMaxTokens,
|
||||
temperature: visionTemperature,
|
||||
} as ChatCompletionRequest;
|
||||
|
||||
case 'embeddings':
|
||||
return {
|
||||
model: selectedModel.name,
|
||||
input: embeddingInput,
|
||||
encoding_format: encodingFormat,
|
||||
} as EmbeddingRequest;
|
||||
|
||||
case 'images':
|
||||
return {
|
||||
model: selectedModel.name,
|
||||
prompt: imagePrompt,
|
||||
n: imageCount,
|
||||
size: imageSize,
|
||||
quality: imageQuality,
|
||||
style: imageStyle,
|
||||
} as ImageGenerationRequest;
|
||||
|
||||
case 'audio-speech':
|
||||
return {
|
||||
model: selectedModel.name,
|
||||
input: speechInput,
|
||||
voice: speechVoice,
|
||||
response_format: speechFormat,
|
||||
speed: speechSpeed,
|
||||
} as AudioSpeechRequest;
|
||||
|
||||
case 'audio-transcription':
|
||||
if (!recordedAudio) {
|
||||
throw new Error(
|
||||
'Please record or upload an audio file for transcription'
|
||||
);
|
||||
}
|
||||
|
||||
return {
|
||||
model: selectedModel.name,
|
||||
file: recordedAudio,
|
||||
prompt: audioTranscriptionPrompt.trim() || undefined,
|
||||
response_format: audioResponseFormat,
|
||||
temperature: audioTemperature,
|
||||
language: audioLanguage.trim() || undefined,
|
||||
} as AudioTranscriptionRequest;
|
||||
|
||||
case 'models':
|
||||
return null; // No request body needed for models endpoint
|
||||
|
||||
default:
|
||||
return null;
|
||||
}
|
||||
};
|
||||
|
||||
const testEndpointMutation = useMutation({
|
||||
mutationFn: async (requestData: EndpointRequestData) => {
|
||||
if (!selectedModel) {
|
||||
throw new Error('No model selected');
|
||||
}
|
||||
|
||||
setError(null);
|
||||
setResponse(null);
|
||||
|
||||
try {
|
||||
const response = await ModelService.testModel(
|
||||
selectedModel.id,
|
||||
selectedEndpoint,
|
||||
requestData
|
||||
);
|
||||
|
||||
if (!response.success) {
|
||||
throw new Error(response.error || 'Test failed');
|
||||
}
|
||||
|
||||
return response.data as ApiResponse;
|
||||
} catch (err: unknown) {
|
||||
const errorMessage =
|
||||
err instanceof Error
|
||||
? err.message
|
||||
: 'Failed to test endpoint via proxy';
|
||||
throw new Error(errorMessage);
|
||||
}
|
||||
},
|
||||
onSuccess: (data) => {
|
||||
setResponse(data);
|
||||
toast.success(
|
||||
`${API_ENDPOINTS[selectedEndpoint].name} test completed successfully!`
|
||||
);
|
||||
},
|
||||
onError: (err: Error) => {
|
||||
const errorMessage = err?.message || 'Unknown error occurred';
|
||||
setError(errorMessage);
|
||||
toast.error(
|
||||
`${API_ENDPOINTS[selectedEndpoint].name} test failed: ${errorMessage}`
|
||||
);
|
||||
},
|
||||
});
|
||||
|
||||
const handleTest = async () => {
|
||||
if (!selectedModel) {
|
||||
toast.error('Please select a model to test');
|
||||
return;
|
||||
}
|
||||
|
||||
// Validate required fields based on endpoint
|
||||
if (selectedEndpoint === 'chat-completions' && !userMessage.trim()) {
|
||||
toast.error('Please enter a test message');
|
||||
return;
|
||||
}
|
||||
|
||||
if (selectedEndpoint === 'vision-chat') {
|
||||
if (!visionUserMessage.trim()) {
|
||||
toast.error('Please enter a test message');
|
||||
return;
|
||||
}
|
||||
if (!selectedImage) {
|
||||
toast.error('Please select an image for vision analysis');
|
||||
return;
|
||||
}
|
||||
}
|
||||
|
||||
if (selectedEndpoint === 'embeddings' && !embeddingInput.trim()) {
|
||||
toast.error('Please enter text for embedding');
|
||||
return;
|
||||
}
|
||||
|
||||
if (selectedEndpoint === 'images' && !imagePrompt.trim()) {
|
||||
toast.error('Please enter an image prompt');
|
||||
return;
|
||||
}
|
||||
|
||||
if (selectedEndpoint === 'audio-speech' && !speechInput.trim()) {
|
||||
toast.error('Please enter text for speech synthesis');
|
||||
return;
|
||||
}
|
||||
|
||||
if (selectedEndpoint === 'audio-transcription' && !recordedAudio) {
|
||||
toast.error('Please record or upload an audio file for transcription');
|
||||
return;
|
||||
}
|
||||
|
||||
const requestData = await buildRequest();
|
||||
testEndpointMutation.mutate(requestData);
|
||||
};
|
||||
|
||||
const enabledModels = Array.from(
|
||||
new Map(
|
||||
models.filter((model) => model.isEnabled).map((m) => [m.id, m])
|
||||
).values()
|
||||
);
|
||||
const credentials = selectedModel ? getModelCredentials(selectedModel) : null;
|
||||
const endpointUrl = credentials
|
||||
? buildEndpointUrl(
|
||||
credentials.baseUrl,
|
||||
API_ENDPOINTS[selectedEndpoint].path
|
||||
)
|
||||
: '';
|
||||
|
||||
return (
|
||||
<Card className='w-full'>
|
||||
<CardHeader>
|
||||
<CardTitle>API Endpoint Tester</CardTitle>
|
||||
<CardDescription>
|
||||
Comprehensive testing of OpenAI-compatible API endpoints through the
|
||||
secure proxy (resolves CORS and network issues)
|
||||
</CardDescription>
|
||||
</CardHeader>
|
||||
<CardContent className='space-y-6'>
|
||||
{/* Model and Endpoint Selection */}
|
||||
<div className='grid grid-cols-1 gap-4 md:grid-cols-2'>
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='model-select'>Select Model</Label>
|
||||
<Select value={selectedModelId} onValueChange={setSelectedModelId}>
|
||||
<SelectTrigger id='model-select'>
|
||||
<SelectValue placeholder='Choose a model to test...' />
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
{enabledModels.map((model) => (
|
||||
<SelectItem key={model.id} value={model.id}>
|
||||
<div className='flex items-center gap-2'>
|
||||
<span>{model.name}</span>
|
||||
<Badge variant='outline' className='text-xs'>
|
||||
{model.provider}
|
||||
</Badge>
|
||||
{model.is_free && (
|
||||
<Badge variant='secondary' className='text-xs'>
|
||||
Free
|
||||
</Badge>
|
||||
)}
|
||||
</div>
|
||||
</SelectItem>
|
||||
))}
|
||||
</SelectContent>
|
||||
</Select>
|
||||
</div>
|
||||
|
||||
<div className='space-y-2'>
|
||||
<Label htmlFor='endpoint-select'>API Endpoint</Label>
|
||||
<Select
|
||||
value={selectedEndpoint}
|
||||
onValueChange={(value: EndpointType) =>
|
||||
setSelectedEndpoint(value)
|
||||
}
|
||||
>
|
||||
<SelectTrigger id='endpoint-select'>
|
||||
<SelectValue />
|
||||
</SelectTrigger>
|
||||
<SelectContent>
|
||||
{Object.entries(API_ENDPOINTS).map(([key, endpoint]) => {
|
||||
const Icon = endpoint.icon;
|
||||
return (
|
||||
<SelectItem key={key} value={key}>
|
||||
<div className='flex items-center gap-2'>
|
||||
<Icon className='h-4 w-4' />
|
||||
<span>{endpoint.name}</span>
|
||||
</div>
|
||||
</SelectItem>
|
||||
);
|
||||
})}
|
||||
</SelectContent>
|
||||
</Select>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Model Information */}
|
||||
{selectedModel && credentials && (
|
||||
<div className='text-muted-foreground bg-muted space-y-2 rounded-md p-3 text-sm'>
|
||||
<div className='flex items-center gap-2'>
|
||||
<Globe className='h-4 w-4' />
|
||||
<span className='break-all'>
|
||||
<strong>Endpoint:</strong> {endpointUrl}
|
||||
</span>
|
||||
</div>
|
||||
<div className='flex items-center gap-2'>
|
||||
<Key className='h-4 w-4' />
|
||||
<span>
|
||||
<strong>API Key:</strong>{' '}
|
||||
{credentials.apiKey
|
||||
? `${credentials.apiKey.substring(0, 8)}...`
|
||||
: 'Not configured'}
|
||||
</span>
|
||||
<Badge
|
||||
variant={credentials.apiKey ? 'default' : 'destructive'}
|
||||
className='text-xs'
|
||||
>
|
||||
{selectedModel.api_key_type || 'Unknown'}
|
||||
</Badge>
|
||||
</div>
|
||||
<div>
|
||||
<span>
|
||||
<strong>Provider:</strong> {selectedModel.provider}
|
||||
</span>
|
||||
</div>
|
||||
<div>
|
||||
<span>
|
||||
<strong>Description:</strong>{' '}
|
||||
{API_ENDPOINTS[selectedEndpoint].description}
|
||||
</span>
|
||||
</div>
|
||||
{!credentials.apiKey && (
|
||||
<Alert variant='default' className='mt-2'>
|
||||
<Info className='h-4 w-4' />
|
||||
<AlertDescription>
|
||||
No API key configured for this model. Testing may still work
|
||||
if the model is free or if authentication is handled
|
||||
elsewhere. For models requiring authentication, please add an
|
||||
API key to the model or its provider group.
|
||||
</AlertDescription>
|
||||
</Alert>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
|
||||
<ApiEndpointForm
|
||||
selectedEndpoint={selectedEndpoint}
|
||||
maxTokens={maxTokens}
|
||||
setMaxTokens={setMaxTokens}
|
||||
temperature={temperature}
|
||||
setTemperature={setTemperature}
|
||||
systemMessage={systemMessage}
|
||||
setSystemMessage={setSystemMessage}
|
||||
userMessage={userMessage}
|
||||
setUserMessage={setUserMessage}
|
||||
visionMaxTokens={visionMaxTokens}
|
||||
setVisionMaxTokens={setVisionMaxTokens}
|
||||
visionTemperature={visionTemperature}
|
||||
setVisionTemperature={setVisionTemperature}
|
||||
visionSystemMessage={visionSystemMessage}
|
||||
setVisionSystemMessage={setVisionSystemMessage}
|
||||
visionUserMessage={visionUserMessage}
|
||||
setVisionUserMessage={setVisionUserMessage}
|
||||
imageDetail={imageDetail}
|
||||
setImageDetail={setImageDetail}
|
||||
selectedImage={selectedImage}
|
||||
imagePreviewUrl={imagePreviewUrl}
|
||||
onImageUpload={handleImageUpload}
|
||||
onRemoveImage={() => {
|
||||
setSelectedImage(null);
|
||||
setImagePreviewUrl(null);
|
||||
}}
|
||||
embeddingInput={embeddingInput}
|
||||
setEmbeddingInput={setEmbeddingInput}
|
||||
encodingFormat={encodingFormat}
|
||||
setEncodingFormat={setEncodingFormat}
|
||||
imageCount={imageCount}
|
||||
setImageCount={setImageCount}
|
||||
imageSize={imageSize}
|
||||
setImageSize={setImageSize}
|
||||
imageQuality={imageQuality}
|
||||
setImageQuality={setImageQuality}
|
||||
imageStyle={imageStyle}
|
||||
setImageStyle={setImageStyle}
|
||||
imagePrompt={imagePrompt}
|
||||
setImagePrompt={setImagePrompt}
|
||||
speechVoice={speechVoice}
|
||||
setSpeechVoice={setSpeechVoice}
|
||||
speechFormat={speechFormat}
|
||||
setSpeechFormat={setSpeechFormat}
|
||||
speechSpeed={speechSpeed}
|
||||
setSpeechSpeed={setSpeechSpeed}
|
||||
speechInput={speechInput}
|
||||
setSpeechInput={setSpeechInput}
|
||||
audioTranscriptionPrompt={audioTranscriptionPrompt}
|
||||
setAudioTranscriptionPrompt={setAudioTranscriptionPrompt}
|
||||
audioTemperature={audioTemperature}
|
||||
setAudioTemperature={setAudioTemperature}
|
||||
audioLanguage={audioLanguage}
|
||||
setAudioLanguage={setAudioLanguage}
|
||||
audioResponseFormat={audioResponseFormat}
|
||||
setAudioResponseFormat={setAudioResponseFormat}
|
||||
isRecording={isRecording}
|
||||
onStartRecording={startRecording}
|
||||
onStopRecording={stopRecording}
|
||||
onAudioUpload={handleAudioUpload}
|
||||
recordedAudio={recordedAudio}
|
||||
recordingUrl={recordingUrl}
|
||||
onRemoveAudio={() => {
|
||||
setRecordedAudio(null);
|
||||
setRecordingUrl(null);
|
||||
}}
|
||||
/>
|
||||
|
||||
{/* Test Button */}
|
||||
<Button
|
||||
onClick={handleTest}
|
||||
disabled={!selectedModelId || testEndpointMutation.isPending}
|
||||
className='w-full'
|
||||
>
|
||||
{testEndpointMutation.isPending ? (
|
||||
<>
|
||||
<Loader2 className='mr-2 h-4 w-4 animate-spin' />
|
||||
Testing {API_ENDPOINTS[selectedEndpoint].name}...
|
||||
</>
|
||||
) : (
|
||||
<>
|
||||
<Send className='mr-2 h-4 w-4' />
|
||||
Test {API_ENDPOINTS[selectedEndpoint].name}
|
||||
</>
|
||||
)}
|
||||
</Button>
|
||||
|
||||
{/* Results */}
|
||||
{error && (
|
||||
<Alert variant='destructive'>
|
||||
<XCircle className='h-4 w-4' />
|
||||
<AlertDescription>
|
||||
<strong>Test Failed:</strong> {error}
|
||||
</AlertDescription>
|
||||
</Alert>
|
||||
)}
|
||||
|
||||
{response && (
|
||||
<Alert>
|
||||
<CheckCircle className='h-4 w-4' />
|
||||
<AlertDescription>
|
||||
<strong>Test Successful!</strong>{' '}
|
||||
{API_ENDPOINTS[selectedEndpoint].name} endpoint responded
|
||||
correctly.
|
||||
</AlertDescription>
|
||||
</Alert>
|
||||
)}
|
||||
|
||||
<ApiEndpointResponse response={response} />
|
||||
|
||||
{response && (
|
||||
<div className='space-y-2'>
|
||||
<Label>Raw Response</Label>
|
||||
<details className='group'>
|
||||
<summary className='text-muted-foreground hover:text-foreground cursor-pointer text-sm'>
|
||||
<Info className='mr-1 inline h-4 w-4' />
|
||||
Show detailed response data
|
||||
</summary>
|
||||
<pre className='bg-muted mt-2 max-h-60 overflow-auto rounded-md p-4 text-xs'>
|
||||
{JSON.stringify(response, null, 2)}
|
||||
</pre>
|
||||
</details>
|
||||
</div>
|
||||
)}
|
||||
</CardContent>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
@@ -1,156 +0,0 @@
|
||||
import {
|
||||
FileText,
|
||||
Eye,
|
||||
List,
|
||||
Image as ImageIcon,
|
||||
Mic,
|
||||
Volume2,
|
||||
} from 'lucide-react';
|
||||
|
||||
export const API_ENDPOINTS = {
|
||||
'chat-completions': {
|
||||
name: 'Chat Completions',
|
||||
path: '/chat/completions',
|
||||
icon: FileText,
|
||||
description: 'Test conversational AI with chat completion requests',
|
||||
},
|
||||
'vision-chat': {
|
||||
name: 'Vision Chat (Image + Text)',
|
||||
path: '/chat/completions',
|
||||
icon: Eye,
|
||||
description: 'Analyze images with text prompts using vision models',
|
||||
},
|
||||
embeddings: {
|
||||
name: 'Embeddings',
|
||||
path: '/embeddings',
|
||||
icon: List,
|
||||
description: 'Generate embeddings for text input',
|
||||
},
|
||||
images: {
|
||||
name: 'Image Generation',
|
||||
path: '/images/generations',
|
||||
icon: ImageIcon,
|
||||
description: 'Generate images from text prompts',
|
||||
},
|
||||
'audio-speech': {
|
||||
name: 'Text-to-Speech',
|
||||
path: '/audio/speech',
|
||||
icon: Mic,
|
||||
description: 'Convert text to speech audio',
|
||||
},
|
||||
'audio-transcription': {
|
||||
name: 'Audio Transcription',
|
||||
path: '/audio/transcriptions',
|
||||
icon: Volume2,
|
||||
description: 'Transcribe audio files to text',
|
||||
},
|
||||
models: {
|
||||
name: 'List Models',
|
||||
path: '/models',
|
||||
icon: List,
|
||||
description: 'List all available models from the provider',
|
||||
},
|
||||
} as const;
|
||||
|
||||
export type EndpointType = keyof typeof API_ENDPOINTS;
|
||||
|
||||
export interface ChatCompletionRequest {
|
||||
model: string;
|
||||
messages: {
|
||||
role: 'system' | 'user' | 'assistant';
|
||||
content:
|
||||
| string
|
||||
| Array<{
|
||||
type: 'text' | 'image_url';
|
||||
text?: string;
|
||||
image_url?: {
|
||||
url: string;
|
||||
detail?: 'low' | 'high' | 'auto';
|
||||
};
|
||||
}>;
|
||||
}[];
|
||||
max_tokens?: number;
|
||||
temperature?: number;
|
||||
}
|
||||
|
||||
export interface EmbeddingRequest {
|
||||
model: string;
|
||||
input: string | string[];
|
||||
encoding_format?: 'float' | 'base64';
|
||||
}
|
||||
|
||||
export interface ImageGenerationRequest {
|
||||
model?: string;
|
||||
prompt: string;
|
||||
n?: number;
|
||||
size?: '256x256' | '512x512' | '1024x1024' | '1792x1024' | '1024x1792';
|
||||
quality?: 'standard' | 'hd';
|
||||
style?: 'vivid' | 'natural';
|
||||
}
|
||||
|
||||
export interface AudioSpeechRequest {
|
||||
model: string;
|
||||
input: string;
|
||||
voice: 'alloy' | 'echo' | 'fable' | 'onyx' | 'nova' | 'shimmer';
|
||||
response_format?: 'mp3' | 'opus' | 'aac' | 'flac' | 'wav' | 'pcm';
|
||||
speed?: number;
|
||||
}
|
||||
|
||||
export interface AudioTranscriptionRequest {
|
||||
model: string;
|
||||
file: File;
|
||||
prompt?: string;
|
||||
response_format?: 'json' | 'text' | 'srt' | 'verbose_json' | 'vtt';
|
||||
temperature?: number;
|
||||
language?: string;
|
||||
}
|
||||
|
||||
export const DEFAULT_REQUESTS = {
|
||||
'chat-completions': {
|
||||
systemMessage: 'You are a helpful assistant. Please respond concisely.',
|
||||
userMessage:
|
||||
'Hello! Can you tell me what model you are and confirm that you are working correctly?',
|
||||
maxTokens: 150,
|
||||
temperature: 0.7,
|
||||
},
|
||||
'vision-chat': {
|
||||
systemMessage:
|
||||
'You are a helpful assistant that can analyze images. Please describe what you see.',
|
||||
userMessage:
|
||||
'What do you see in this image? Please provide a detailed description.',
|
||||
maxTokens: 300,
|
||||
temperature: 0.7,
|
||||
imageDetail: 'auto' as const,
|
||||
},
|
||||
embeddings: {
|
||||
input: 'The quick brown fox jumps over the lazy dog.',
|
||||
encoding_format: 'float' as const,
|
||||
},
|
||||
images: {
|
||||
prompt: 'A beautiful sunset over a mountain landscape',
|
||||
n: 1,
|
||||
size: '1024x1024' as const,
|
||||
quality: 'standard' as const,
|
||||
style: 'vivid' as const,
|
||||
},
|
||||
'audio-speech': {
|
||||
input: 'Hello, this is a test of the text-to-speech functionality.',
|
||||
voice: 'alloy' as const,
|
||||
response_format: 'mp3' as const,
|
||||
speed: 1.0,
|
||||
},
|
||||
'audio-transcription': {
|
||||
prompt: 'This is a test transcription.',
|
||||
response_format: 'json' as const,
|
||||
temperature: 0.0,
|
||||
language: '',
|
||||
},
|
||||
};
|
||||
|
||||
export type EndpointRequestData =
|
||||
| ChatCompletionRequest
|
||||
| EmbeddingRequest
|
||||
| ImageGenerationRequest
|
||||
| AudioSpeechRequest
|
||||
| AudioTranscriptionRequest
|
||||
| null;
|
||||
@@ -21,19 +21,13 @@ import {
|
||||
import { Skeleton } from '@/components/ui/skeleton';
|
||||
import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
|
||||
|
||||
// The testing tabs are never the landing view, so keeping them out of this
|
||||
// The testing tab is never the landing view, so keeping it out of this
|
||||
// route's chunk is what lets the navigation itself resolve quickly.
|
||||
const ModelTester = dynamic(
|
||||
() => import('@/components/model-tester').then((m) => m.ModelTester),
|
||||
{ loading: () => <Skeleton className='h-[420px] w-full' />, ssr: false }
|
||||
);
|
||||
|
||||
const ApiEndpointTester = dynamic(
|
||||
() =>
|
||||
import('@/components/api-endpoint-tester').then((m) => m.ApiEndpointTester),
|
||||
{ loading: () => <Skeleton className='h-[420px] w-full' />, ssr: false }
|
||||
);
|
||||
|
||||
export function ModelsPage() {
|
||||
const [filteredModels, setFilteredModels] = useState<Model[] | undefined>(
|
||||
undefined
|
||||
@@ -130,14 +124,6 @@ export function ModelsPage() {
|
||||
>
|
||||
Basic Testing
|
||||
</TabsTrigger>
|
||||
{/*
|
||||
<TabsTrigger
|
||||
value='test-api'
|
||||
className='h-9 snap-start px-2 text-[13px] sm:h-10 sm:px-2.5 sm:text-sm'
|
||||
>
|
||||
API Endpoints
|
||||
</TabsTrigger>
|
||||
*/}
|
||||
</TabsList>
|
||||
|
||||
<TabsContent value='manage' className='mt-0'>
|
||||
@@ -226,34 +212,6 @@ export function ModelsPage() {
|
||||
<ModelTester models={models} />
|
||||
)}
|
||||
</TabsContent>
|
||||
|
||||
<TabsContent value='test-api' className='mt-0 space-y-3'>
|
||||
<div className='space-y-1'>
|
||||
<h3 className='text-base font-semibold'>
|
||||
OpenAI Endpoint Testing
|
||||
</h3>
|
||||
<p className='text-muted-foreground text-sm'>
|
||||
Validate chat, embeddings, image, audio, and model-listing
|
||||
endpoints through the secure proxy.
|
||||
</p>
|
||||
</div>
|
||||
{isLoadingModels ? (
|
||||
<div className='space-y-4'>
|
||||
<Skeleton className='h-[320px] w-full' />
|
||||
<Skeleton className='h-[220px] w-full' />
|
||||
</div>
|
||||
) : modelsError ? (
|
||||
<Alert variant='destructive'>
|
||||
<AlertCircle className='h-4 w-4' />
|
||||
<AlertDescription>
|
||||
Failed to load models for API testing. Please try refreshing
|
||||
the page.
|
||||
</AlertDescription>
|
||||
</Alert>
|
||||
) : (
|
||||
<ApiEndpointTester models={models} />
|
||||
)}
|
||||
</TabsContent>
|
||||
</Tabs>
|
||||
</div>
|
||||
</AppPageShell>
|
||||
|
||||
Reference in New Issue
Block a user