style(design): apply Minimal Dark Mode design system\n\n- Switched to complete Dark Mode (OLED-friendly)\n- Established standard color palette matching modern technical aesthetics\n- Changed font to Plus Jakarta Sans for increased legibility\n- Enforced dark mode as default in App.tsx\n- Fixed several React cascading render (setState in useEffect) warnings
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@@ -1,298 +1,298 @@
|
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import { Injectable, Logger, NotFoundException, BadRequestException, Inject } from '@nestjs/common';
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import { registerProxyAdvancedService } from '../../../ipc/proxy-advanced/service-registry';
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import { ProxyService } from './proxy.service';
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import {
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OpenAIChatRequest,
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AnthropicChatRequest,
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GeminiRequest,
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} from './interfaces/request-interfaces';
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||||
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export interface ReplayEntry {
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requestId: string;
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timestamp: number;
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endpoint: string;
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method: string;
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body: unknown;
|
||||
headers: Record<string, unknown>;
|
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accountId?: string;
|
||||
model?: string;
|
||||
responseSnapshot?: unknown;
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}
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@Injectable()
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export class ProxyReplayService {
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private readonly logger = new Logger(ProxyReplayService.name);
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private readonly buffer: ReplayEntry[] = [];
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private readonly maxSize = 20;
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||||
|
||||
constructor(
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@Inject(ProxyService) private readonly proxyService: ProxyService,
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) {
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registerProxyAdvancedService('proxyReplay', this);
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}
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recordRequest(entry: ReplayEntry): void {
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if (this.buffer.length >= this.maxSize) {
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this.buffer.shift();
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}
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this.buffer.push(entry);
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this.logger.debug(`Recorded request ${entry.requestId} for ${entry.endpoint}`);
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}
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getRecentRequests(limit?: number): ReplayEntry[] {
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const recent = [...this.buffer].reverse();
|
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if (limit && limit > 0) {
|
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return recent.slice(0, limit);
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}
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return recent;
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}
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async replayRequest(requestId: string): Promise<{ original: ReplayEntry; newResponse: unknown }> {
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const entry = this.buffer.find((e) => e.requestId === requestId);
|
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if (!entry) {
|
||||
throw new NotFoundException(`Request ${requestId} not found in replay buffer`);
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||||
}
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||||
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this.logger.log(`Replaying request ${requestId} for ${entry.endpoint}`);
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const newResponse = await this.executeReplay(entry);
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return { original: entry, newResponse };
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}
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||||
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private async executeReplay(entry: ReplayEntry): Promise<unknown> {
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switch (entry.endpoint) {
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case '/v1/chat/completions':
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case '/v1/messages/chat/completions': {
|
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const body = entry.body as OpenAIChatRequest;
|
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return this.proxyService.handleChatCompletions(body);
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||||
}
|
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case '/v1/completions': {
|
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const originalBody = entry.body as {
|
||||
model?: string;
|
||||
prompt?: string | string[];
|
||||
max_tokens?: number;
|
||||
temperature?: number;
|
||||
top_p?: number;
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||||
stream?: boolean;
|
||||
};
|
||||
const request: OpenAIChatRequest = {
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model: originalBody.model ?? 'gemini-3-flash',
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messages: [
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{
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role: 'user',
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content: Array.isArray(originalBody.prompt)
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? originalBody.prompt.join('\n')
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: (originalBody.prompt ?? ''),
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},
|
||||
],
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max_tokens: originalBody.max_tokens,
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temperature: originalBody.temperature,
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top_p: originalBody.top_p,
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stream: originalBody.stream,
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};
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return this.proxyService.handleChatCompletions(request);
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}
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case '/v1/messages': {
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const body = entry.body as AnthropicChatRequest;
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return this.proxyService.handleAnthropicMessages(body);
|
||||
}
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||||
case '/v1/responses': {
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const originalBody = entry.body as {
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model?: string;
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||||
instructions?: string;
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||||
input?: unknown;
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||||
tools?: OpenAIChatRequest['tools'];
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||||
max_output_tokens?: number;
|
||||
temperature?: number;
|
||||
top_p?: number;
|
||||
stream?: boolean;
|
||||
};
|
||||
const messages: OpenAIChatRequest['messages'] = [];
|
||||
if (
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typeof originalBody.instructions === 'string' &&
|
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originalBody.instructions.trim().length > 0
|
||||
) {
|
||||
messages.push({ role: 'system', content: originalBody.instructions });
|
||||
}
|
||||
|
||||
const input = originalBody.input;
|
||||
if (typeof input === 'string') {
|
||||
messages.push({ role: 'user', content: input });
|
||||
} else if (Array.isArray(input)) {
|
||||
for (const item of input) {
|
||||
if (typeof item === 'string') {
|
||||
messages.push({ role: 'user', content: item });
|
||||
} else if (item && typeof item === 'object') {
|
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const obj = item as Record<string, unknown>;
|
||||
if (obj.type === 'message' && typeof obj.content === 'string') {
|
||||
messages.push({
|
||||
role: typeof obj.role === 'string' ? obj.role : 'user',
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||||
content: obj.content,
|
||||
});
|
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} else if (obj.type === 'message') {
|
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messages.push({
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role: typeof obj.role === 'string' ? obj.role : 'user',
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content: JSON.stringify(obj.content),
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||||
});
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}
|
||||
}
|
||||
}
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||||
}
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||||
|
||||
if (messages.length === 0) {
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messages.push({ role: 'user', content: '' });
|
||||
}
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||||
|
||||
const request: OpenAIChatRequest = {
|
||||
model: originalBody.model ?? 'gemini-3-flash',
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messages,
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tools: originalBody.tools,
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||||
max_tokens: originalBody.max_output_tokens,
|
||||
temperature: originalBody.temperature,
|
||||
top_p: originalBody.top_p,
|
||||
stream: originalBody.stream,
|
||||
};
|
||||
return this.proxyService.handleChatCompletions(request);
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||||
}
|
||||
case '/v1/images/generations': {
|
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const originalBody = entry.body as {
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model?: string;
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||||
prompt?: string;
|
||||
size?: string;
|
||||
quality?: string;
|
||||
};
|
||||
const request: OpenAIChatRequest = {
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||||
model: originalBody.model ?? 'gemini-3-pro-image',
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||||
messages: [{ role: 'user', content: originalBody.prompt ?? '' }],
|
||||
stream: false,
|
||||
size: originalBody.size,
|
||||
quality: originalBody.quality,
|
||||
};
|
||||
return this.proxyService.handleChatCompletions(request);
|
||||
}
|
||||
case '/v1/images/edits': {
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||||
const originalBody = entry.body as {
|
||||
model?: string;
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||||
prompt?: string;
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||||
size?: string;
|
||||
quality?: string;
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||||
image?: string | { data?: string; mimeType?: string };
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||||
reference_images?: Array<string | { data?: string; mimeType?: string }>;
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||||
mask?: string | { data?: string; mimeType?: string };
|
||||
};
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||||
const imageParts = this.collectImageContentParts([
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originalBody.image,
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||||
originalBody.mask,
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...(originalBody.reference_images ?? []),
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||||
]);
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||||
const request: OpenAIChatRequest = {
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||||
model: originalBody.model ?? 'gemini-3-pro-image',
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||||
messages: [
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||||
{
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||||
role: 'user',
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||||
content:
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||||
imageParts.length > 0
|
||||
? [
|
||||
{
|
||||
type: 'text' as const,
|
||||
text:
|
||||
originalBody.prompt ??
|
||||
'Please edit this image based on the provided instruction.',
|
||||
},
|
||||
...imageParts,
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||||
]
|
||||
: (originalBody.prompt ??
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||||
'Please edit this image based on the provided instruction.'),
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||||
},
|
||||
],
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stream: false,
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||||
size: originalBody.size,
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quality: originalBody.quality,
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||||
};
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return this.proxyService.handleChatCompletions(request);
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||||
}
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case '/v1/audio/transcriptions': {
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const originalBody = entry.body as {
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||||
model?: string;
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prompt?: string;
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||||
file?: string | { data?: string; mimeType?: string };
|
||||
audio?: string | { data?: string; mimeType?: string };
|
||||
};
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||||
const inlineAudio = this.resolveInlineData(originalBody.file ?? originalBody.audio);
|
||||
if (!inlineAudio) {
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||||
throw new BadRequestException("Missing 'file' or 'audio' input for replay");
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||||
}
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||||
return this.proxyService.handleGeminiGenerateContent(
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originalBody.model ?? 'gemini-3-flash',
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||||
{
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||||
contents: [
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||||
{
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||||
role: 'user',
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||||
parts: [
|
||||
{
|
||||
text:
|
||||
originalBody.prompt ??
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||||
'Please transcribe the provided speech audio accurately.',
|
||||
},
|
||||
{ inlineData: inlineAudio },
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||||
],
|
||||
},
|
||||
],
|
||||
} as GeminiRequest,
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||||
);
|
||||
}
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||||
default:
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||||
throw new BadRequestException(`Replay not supported for endpoint ${entry.endpoint}`);
|
||||
}
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||||
}
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||||
|
||||
private collectImageContentParts(
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entries: Array<string | { data?: string; mimeType?: string } | undefined>,
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||||
): Array<{ type: 'image_url'; image_url: { url: string } }> {
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||||
const parts: Array<{ type: 'image_url'; image_url: { url: string } }> = [];
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||||
for (const entry of entries) {
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||||
const inlineData = this.resolveInlineData(entry);
|
||||
if (!inlineData) {
|
||||
continue;
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||||
}
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||||
parts.push({
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||||
type: 'image_url',
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||||
image_url: {
|
||||
url: `data:${inlineData.mimeType};base64,${inlineData.data}`,
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||||
},
|
||||
});
|
||||
}
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||||
return parts;
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||||
}
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||||
|
||||
private resolveInlineData(input: unknown): { mimeType: string; data: string } | null {
|
||||
if (!input) {
|
||||
return null;
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||||
}
|
||||
if (typeof input === 'string') {
|
||||
const dataUri = input.match(/^data:(?<mime>[^;]+);base64,(?<data>[A-Za-z0-9+/=]+)$/);
|
||||
if (dataUri?.groups?.mime && dataUri.groups.data) {
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||||
return {
|
||||
mimeType: dataUri.groups.mime,
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||||
data: dataUri.groups.data,
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||||
};
|
||||
}
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||||
const cleaned = input.replace(/\s+/g, '');
|
||||
if (cleaned.length > 0) {
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||||
return {
|
||||
mimeType: 'audio/mpeg',
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||||
data: cleaned,
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||||
};
|
||||
}
|
||||
return null;
|
||||
}
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||||
const inputRecord = input as Record<string, unknown>;
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||||
const data = typeof inputRecord.data === 'string' ? inputRecord.data : undefined;
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||||
if (!data) {
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||||
return null;
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||||
}
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||||
return {
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mimeType: typeof inputRecord.mimeType === 'string' ? inputRecord.mimeType : 'audio/mpeg',
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data,
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||||
};
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}
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||||
}
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import { Injectable, Logger, NotFoundException, BadRequestException, Inject } from '@nestjs/common';
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import { registerProxyAdvancedService } from '../../../ipc/proxy-advanced/service-registry';
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import { ProxyService } from './proxy.service';
|
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import {
|
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OpenAIChatRequest,
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AnthropicChatRequest,
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GeminiRequest,
|
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} from './interfaces/request-interfaces';
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||||
|
||||
export interface ReplayEntry {
|
||||
requestId: string;
|
||||
timestamp: number;
|
||||
endpoint: string;
|
||||
method: string;
|
||||
body: unknown;
|
||||
headers: Record<string, unknown>;
|
||||
accountId?: string;
|
||||
model?: string;
|
||||
responseSnapshot?: unknown;
|
||||
}
|
||||
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@Injectable()
|
||||
export class ProxyReplayService {
|
||||
private readonly logger = new Logger(ProxyReplayService.name);
|
||||
private readonly buffer: ReplayEntry[] = [];
|
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private readonly maxSize = 20;
|
||||
|
||||
constructor(
|
||||
@Inject(ProxyService) private readonly proxyService: ProxyService,
|
||||
) {
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registerProxyAdvancedService('proxyReplay', this);
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}
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|
||||
recordRequest(entry: ReplayEntry): void {
|
||||
if (this.buffer.length >= this.maxSize) {
|
||||
this.buffer.shift();
|
||||
}
|
||||
this.buffer.push(entry);
|
||||
this.logger.debug(`Recorded request ${entry.requestId} for ${entry.endpoint}`);
|
||||
}
|
||||
|
||||
getRecentRequests(limit?: number): ReplayEntry[] {
|
||||
const recent = [...this.buffer].reverse();
|
||||
if (limit && limit > 0) {
|
||||
return recent.slice(0, limit);
|
||||
}
|
||||
return recent;
|
||||
}
|
||||
|
||||
async replayRequest(requestId: string): Promise<{ original: ReplayEntry; newResponse: unknown }> {
|
||||
const entry = this.buffer.find((e) => e.requestId === requestId);
|
||||
if (!entry) {
|
||||
throw new NotFoundException(`Request ${requestId} not found in replay buffer`);
|
||||
}
|
||||
|
||||
this.logger.log(`Replaying request ${requestId} for ${entry.endpoint}`);
|
||||
const newResponse = await this.executeReplay(entry);
|
||||
return { original: entry, newResponse };
|
||||
}
|
||||
|
||||
private async executeReplay(entry: ReplayEntry): Promise<unknown> {
|
||||
switch (entry.endpoint) {
|
||||
case '/v1/chat/completions':
|
||||
case '/v1/messages/chat/completions': {
|
||||
const body = entry.body as OpenAIChatRequest;
|
||||
return this.proxyService.handleChatCompletions(body);
|
||||
}
|
||||
case '/v1/completions': {
|
||||
const originalBody = entry.body as {
|
||||
model?: string;
|
||||
prompt?: string | string[];
|
||||
max_tokens?: number;
|
||||
temperature?: number;
|
||||
top_p?: number;
|
||||
stream?: boolean;
|
||||
};
|
||||
const request: OpenAIChatRequest = {
|
||||
model: originalBody.model ?? 'gemini-3-flash',
|
||||
messages: [
|
||||
{
|
||||
role: 'user',
|
||||
content: Array.isArray(originalBody.prompt)
|
||||
? originalBody.prompt.join('\n')
|
||||
: (originalBody.prompt ?? ''),
|
||||
},
|
||||
],
|
||||
max_tokens: originalBody.max_tokens,
|
||||
temperature: originalBody.temperature,
|
||||
top_p: originalBody.top_p,
|
||||
stream: originalBody.stream,
|
||||
};
|
||||
return this.proxyService.handleChatCompletions(request);
|
||||
}
|
||||
case '/v1/messages': {
|
||||
const body = entry.body as AnthropicChatRequest;
|
||||
return this.proxyService.handleAnthropicMessages(body);
|
||||
}
|
||||
case '/v1/responses': {
|
||||
const originalBody = entry.body as {
|
||||
model?: string;
|
||||
instructions?: string;
|
||||
input?: unknown;
|
||||
tools?: OpenAIChatRequest['tools'];
|
||||
max_output_tokens?: number;
|
||||
temperature?: number;
|
||||
top_p?: number;
|
||||
stream?: boolean;
|
||||
};
|
||||
const messages: OpenAIChatRequest['messages'] = [];
|
||||
if (
|
||||
typeof originalBody.instructions === 'string' &&
|
||||
originalBody.instructions.trim().length > 0
|
||||
) {
|
||||
messages.push({ role: 'system', content: originalBody.instructions });
|
||||
}
|
||||
|
||||
const input = originalBody.input;
|
||||
if (typeof input === 'string') {
|
||||
messages.push({ role: 'user', content: input });
|
||||
} else if (Array.isArray(input)) {
|
||||
for (const item of input) {
|
||||
if (typeof item === 'string') {
|
||||
messages.push({ role: 'user', content: item });
|
||||
} else if (item && typeof item === 'object') {
|
||||
const obj = item as Record<string, unknown>;
|
||||
if (obj.type === 'message' && typeof obj.content === 'string') {
|
||||
messages.push({
|
||||
role: typeof obj.role === 'string' ? obj.role : 'user',
|
||||
content: obj.content,
|
||||
});
|
||||
} else if (obj.type === 'message') {
|
||||
messages.push({
|
||||
role: typeof obj.role === 'string' ? obj.role : 'user',
|
||||
content: JSON.stringify(obj.content),
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (messages.length === 0) {
|
||||
messages.push({ role: 'user', content: '' });
|
||||
}
|
||||
|
||||
const request: OpenAIChatRequest = {
|
||||
model: originalBody.model ?? 'gemini-3-flash',
|
||||
messages,
|
||||
tools: originalBody.tools,
|
||||
max_tokens: originalBody.max_output_tokens,
|
||||
temperature: originalBody.temperature,
|
||||
top_p: originalBody.top_p,
|
||||
stream: originalBody.stream,
|
||||
};
|
||||
return this.proxyService.handleChatCompletions(request);
|
||||
}
|
||||
case '/v1/images/generations': {
|
||||
const originalBody = entry.body as {
|
||||
model?: string;
|
||||
prompt?: string;
|
||||
size?: string;
|
||||
quality?: string;
|
||||
};
|
||||
const request: OpenAIChatRequest = {
|
||||
model: originalBody.model ?? 'gemini-3-pro-image',
|
||||
messages: [{ role: 'user', content: originalBody.prompt ?? '' }],
|
||||
stream: false,
|
||||
size: originalBody.size,
|
||||
quality: originalBody.quality,
|
||||
};
|
||||
return this.proxyService.handleChatCompletions(request);
|
||||
}
|
||||
case '/v1/images/edits': {
|
||||
const originalBody = entry.body as {
|
||||
model?: string;
|
||||
prompt?: string;
|
||||
size?: string;
|
||||
quality?: string;
|
||||
image?: string | { data?: string; mimeType?: string };
|
||||
reference_images?: Array<string | { data?: string; mimeType?: string }>;
|
||||
mask?: string | { data?: string; mimeType?: string };
|
||||
};
|
||||
const imageParts = this.collectImageContentParts([
|
||||
originalBody.image,
|
||||
originalBody.mask,
|
||||
...(originalBody.reference_images ?? []),
|
||||
]);
|
||||
const request: OpenAIChatRequest = {
|
||||
model: originalBody.model ?? 'gemini-3-pro-image',
|
||||
messages: [
|
||||
{
|
||||
role: 'user',
|
||||
content:
|
||||
imageParts.length > 0
|
||||
? [
|
||||
{
|
||||
type: 'text' as const,
|
||||
text:
|
||||
originalBody.prompt ??
|
||||
'Please edit this image based on the provided instruction.',
|
||||
},
|
||||
...imageParts,
|
||||
]
|
||||
: (originalBody.prompt ??
|
||||
'Please edit this image based on the provided instruction.'),
|
||||
},
|
||||
],
|
||||
stream: false,
|
||||
size: originalBody.size,
|
||||
quality: originalBody.quality,
|
||||
};
|
||||
return this.proxyService.handleChatCompletions(request);
|
||||
}
|
||||
case '/v1/audio/transcriptions': {
|
||||
const originalBody = entry.body as {
|
||||
model?: string;
|
||||
prompt?: string;
|
||||
file?: string | { data?: string; mimeType?: string };
|
||||
audio?: string | { data?: string; mimeType?: string };
|
||||
};
|
||||
const inlineAudio = this.resolveInlineData(originalBody.file ?? originalBody.audio);
|
||||
if (!inlineAudio) {
|
||||
throw new BadRequestException("Missing 'file' or 'audio' input for replay");
|
||||
}
|
||||
return this.proxyService.handleGeminiGenerateContent(
|
||||
originalBody.model ?? 'gemini-3-flash',
|
||||
{
|
||||
contents: [
|
||||
{
|
||||
role: 'user',
|
||||
parts: [
|
||||
{
|
||||
text:
|
||||
originalBody.prompt ??
|
||||
'Please transcribe the provided speech audio accurately.',
|
||||
},
|
||||
{ inlineData: inlineAudio },
|
||||
],
|
||||
},
|
||||
],
|
||||
} as GeminiRequest,
|
||||
);
|
||||
}
|
||||
default:
|
||||
throw new BadRequestException(`Replay not supported for endpoint ${entry.endpoint}`);
|
||||
}
|
||||
}
|
||||
|
||||
private collectImageContentParts(
|
||||
entries: Array<string | { data?: string; mimeType?: string } | undefined>,
|
||||
): Array<{ type: 'image_url'; image_url: { url: string } }> {
|
||||
const parts: Array<{ type: 'image_url'; image_url: { url: string } }> = [];
|
||||
for (const entry of entries) {
|
||||
const inlineData = this.resolveInlineData(entry);
|
||||
if (!inlineData) {
|
||||
continue;
|
||||
}
|
||||
parts.push({
|
||||
type: 'image_url',
|
||||
image_url: {
|
||||
url: `data:${inlineData.mimeType};base64,${inlineData.data}`,
|
||||
},
|
||||
});
|
||||
}
|
||||
return parts;
|
||||
}
|
||||
|
||||
private resolveInlineData(input: unknown): { mimeType: string; data: string } | null {
|
||||
if (!input) {
|
||||
return null;
|
||||
}
|
||||
if (typeof input === 'string') {
|
||||
const dataUri = input.match(/^data:(?<mime>[^;]+);base64,(?<data>[A-Za-z0-9+/=]+)$/);
|
||||
if (dataUri?.groups?.mime && dataUri.groups.data) {
|
||||
return {
|
||||
mimeType: dataUri.groups.mime,
|
||||
data: dataUri.groups.data,
|
||||
};
|
||||
}
|
||||
const cleaned = input.replace(/\s+/g, '');
|
||||
if (cleaned.length > 0) {
|
||||
return {
|
||||
mimeType: 'audio/mpeg',
|
||||
data: cleaned,
|
||||
};
|
||||
}
|
||||
return null;
|
||||
}
|
||||
const inputRecord = input as Record<string, unknown>;
|
||||
const data = typeof inputRecord.data === 'string' ? inputRecord.data : undefined;
|
||||
if (!data) {
|
||||
return null;
|
||||
}
|
||||
return {
|
||||
mimeType: typeof inputRecord.mimeType === 'string' ? inputRecord.mimeType : 'audio/mpeg',
|
||||
data,
|
||||
};
|
||||
}
|
||||
}
|
||||
Reference in new issue
Block a user