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1
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
a5e98b02b1 |
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@@ -18,7 +18,7 @@ export const StatusBar: React.FC<StatusBarProps> = ({ isCollapsed = false }) =>
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const { data: isRunning, isLoading } = useQuery({
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queryKey: ['process', 'status'],
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queryFn: isProcessRunning,
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refetchInterval: 30000,
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refetchInterval: 10000,
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});
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const startMutation = useMutation({
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@@ -521,20 +521,12 @@ export class CloudAccountRepo {
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try {
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const rows = orm.select().from(accounts).orderBy(desc(accounts.lastUsed)).all();
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// DEBUG LOGS
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const activeRows = rows.filter((r) => r.isActive);
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logger.debug(
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`getAccounts: Found ${rows.length} accounts, ${activeRows.length} active.`,
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logger.info(
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`[DEBUG] getAccounts: Found ${rows.length} accounts, ${activeRows.length} active.`,
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);
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// Auto-activate the single account if none are active
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if (rows.length > 0 && activeRows.length === 0) {
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const targetRow = rows[0];
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logger.info(
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`No active account found. Auto-activating account: ${targetRow.email} (${targetRow.id})`,
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);
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orm.update(accounts).set({ isActive: 1 }).where(eq(accounts.id, targetRow.id)).run();
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targetRow.isActive = 1;
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}
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activeRows.forEach((r) => logger.info(`[DEBUG] Active Account: ${r.email} (${r.id})`));
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const cloudAccounts: CloudAccount[] = [];
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for (const normalizedRow of rows) {
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+7
-3
@@ -22,9 +22,13 @@ export async function bootstrapNestServer(config: ProxyConfig): Promise<boolean>
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setServerConfig(config);
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try {
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app = await NestFactory.create<NestFastifyApplication>(AppModule, new FastifyAdapter(), {
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logger: ['error', 'warn', 'log'],
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});
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app = await NestFactory.create<NestFastifyApplication>(
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AppModule,
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new FastifyAdapter({ bodyLimit: 10 * 1024 * 1024 }),
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{
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logger: ['error', 'warn', 'log'],
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},
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);
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// Enable CORS
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app.enableCors();
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@@ -184,8 +184,6 @@ export interface OpenAIChatResponse {
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completion_tokens: number;
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total_tokens: number;
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};
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/** Optional identifier for the model's configuration snapshot. Included for OpenAI-spec compliance. */
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system_fingerprint?: string;
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}
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export interface OpenAIChoice {
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@@ -84,26 +84,8 @@ export class ProxyController {
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}
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@Post('chat/completions')
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async chatCompletions(
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@Body() body: OpenAIChatRequest,
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@Req() req: FastifyRequest,
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@Res() res: FastifyReply,
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) {
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await this.respondOpenAIChatCompletions(body, res, req);
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}
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/**
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* Alias route: some clients (e.g. OpenCode configured with baseURL ending in /v1/messages)
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* send requests to /v1/messages/chat/completions. Forward to the same handler so those
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* clients do not receive a 404.
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*/
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@Post('messages/chat/completions')
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async messagesCompletionsAlias(
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@Body() body: OpenAIChatRequest,
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@Req() req: FastifyRequest,
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@Res() res: FastifyReply,
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) {
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await this.respondOpenAIChatCompletions(body, res, req);
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async chatCompletions(@Body() body: OpenAIChatRequest, @Res() res: FastifyReply) {
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await this.respondOpenAIChatCompletions(body, res);
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}
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@Post('completions')
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@@ -321,23 +303,13 @@ export class ProxyController {
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}
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}
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private async respondOpenAIChatCompletions(
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body: OpenAIChatRequest,
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res: FastifyReply,
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req?: FastifyRequest,
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) {
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private async respondOpenAIChatCompletions(body: OpenAIChatRequest, res: FastifyReply) {
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const requestId = uuidv4();
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const startTime = Date.now();
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trafficLogger.logInbound(requestId, '/v1/chat/completions', body, undefined, { stream: body.stream });
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// Extract x-session-affinity header so OpenCode session stickiness works even when
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// the request body does not carry an explicit session_id field.
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const headerSessionKey = req
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? (req.headers['x-session-affinity'] as string | undefined)
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: undefined;
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try {
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const result = await this.proxyService.handleChatCompletions(body, requestId, headerSessionKey);
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const result = await this.proxyService.handleChatCompletions(body, requestId);
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if (body.stream && this.isObservableLike(result)) {
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this.writeSseResponse(res, result, requestId, '/v1/chat/completions', startTime);
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@@ -692,12 +692,8 @@ export class ProxyService {
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async handleChatCompletions(
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request: OpenAIChatRequest,
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_requestId?: string,
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headerSessionKey?: string,
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): Promise<OpenAIChatResponse | Observable<string>> {
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// Prefer the x-session-affinity header value (sent by OpenCode) over body-level session ids.
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const sessionKey =
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(headerSessionKey ? `openai:${headerSessionKey}` : undefined) ??
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this.extractOpenAISessionKey(request);
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const sessionKey = this.extractOpenAISessionKey(request);
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const targetModel = this.resolveTargetModel(request.model);
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const extraHeaders = this.createModelSpecificHeaders(request.model);
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@@ -751,7 +747,7 @@ export class ProxyService {
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token.token.upstream_proxy_url,
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extraHeaders,
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);
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return this.processStreamResponse(stream, request.model);
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return this.processStreamResponse(stream, request.model, request.stream_options);
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} catch (streamError) {
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this.logger.warn(
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`Stream path failed for model=${request.model}; falling back to non-stream generation: ${
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@@ -810,7 +806,7 @@ export class ProxyService {
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token.token.upstream_proxy_url,
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extraHeaders,
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);
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return this.processStreamResponse(stream, request.model);
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return this.processStreamResponse(stream, request.model, request.stream_options);
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}
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const response = await this.generateInternalWithStreamFallback(
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@@ -957,19 +953,38 @@ export class ProxyService {
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private processStreamResponse(
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upstreamStream: NodeJS.ReadableStream,
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model: string,
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streamOptions?: { include_usage?: boolean },
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): Observable<string> {
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return new Observable<string>((subscriber) => {
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const decoder = new TextDecoder();
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let buffer = '';
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let hasEmittedChunk = false;
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let hasSentDone = false;
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let isThinking = false;
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let toolCallIndex = 0;
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let lastUsageMetadata: GeminiResponse['usageMetadata'];
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const streamId = `chatcmpl-${uuidv4()}`;
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const created = Math.floor(Date.now() / 1000);
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// Emit initial role chunk immediately to prevent strict clients (like Hermes) from timing out during long TTFT
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const initialChunk = {
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id: streamId,
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object: 'chat.completion.chunk',
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created: created,
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model: model,
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choices: [
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{
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index: 0,
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delta: { role: 'assistant', content: '' },
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finish_reason: null,
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},
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],
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};
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subscriber.next(`data: ${JSON.stringify(initialChunk)}\n\n`);
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hasEmittedChunk = true;
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const pushChunk = (payload: Record<string, unknown>): void => {
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hasEmittedChunk = true;
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subscriber.next(`data: ${JSON.stringify(payload)}\n\n`);
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};
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@@ -990,10 +1005,17 @@ export class ProxyService {
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const candidate = json.candidates?.[0];
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const parts = candidate?.content?.parts || [];
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if (json.usageMetadata) {
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lastUsageMetadata = json.usageMetadata;
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}
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for (const part of parts) {
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if (part.thought && part.text) {
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// Reasoning/thinking parts: emit via reasoning_content delta field
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// so clients that support it can display thinking separately.
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let textToEmit = part.text;
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if (!isThinking) {
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isThinking = true;
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textToEmit = `<think>\n${textToEmit}`;
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}
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const reasoningChunk = {
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id: streamId,
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object: 'chat.completion.chunk',
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@@ -1002,7 +1024,7 @@ export class ProxyService {
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choices: [
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{
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index: 0,
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delta: { reasoning_content: part.text },
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delta: { content: textToEmit },
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finish_reason: null,
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},
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],
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@@ -1013,7 +1035,11 @@ export class ProxyService {
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if (part.functionCall) {
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const currentToolIndex = toolCallIndex++;
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const toolCallChunk = {
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const toolCallId = part.functionCall.id || `${part.functionCall.name}-${uuidv4()}`;
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const argsJson = JSON.stringify(part.functionCall.args || {});
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// First delta: id, type, name, empty arguments
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pushChunk({
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id: streamId,
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object: 'chat.completion.chunk',
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created: created,
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@@ -1025,11 +1051,11 @@ export class ProxyService {
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tool_calls: [
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{
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index: currentToolIndex,
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id: part.functionCall.id || `${part.functionCall.name}-${uuidv4()}`,
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id: toolCallId,
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type: 'function',
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function: {
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name: part.functionCall.name,
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arguments: JSON.stringify(part.functionCall.args || {}),
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arguments: '',
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},
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},
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],
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@@ -1037,8 +1063,35 @@ export class ProxyService {
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finish_reason: null,
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},
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],
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};
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pushChunk(toolCallChunk);
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});
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// Subsequent deltas: only arguments (split if large to respect SSE framing)
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const ARG_CHUNK_SIZE = 1000;
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for (let i = 0; i < argsJson.length; i += ARG_CHUNK_SIZE) {
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const slice = argsJson.slice(i, i + ARG_CHUNK_SIZE);
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pushChunk({
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id: streamId,
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object: 'chat.completion.chunk',
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created: created,
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model: model,
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choices: [
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{
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index: 0,
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delta: {
|
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tool_calls: [
|
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{
|
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index: currentToolIndex,
|
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function: {
|
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arguments: slice,
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},
|
||||
},
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],
|
||||
},
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finish_reason: null,
|
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},
|
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],
|
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});
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}
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continue;
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}
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@@ -1064,6 +1117,11 @@ export class ProxyService {
|
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}
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|
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if (part.text) {
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let textToEmit = part.text;
|
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if (isThinking && !part.thought) {
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isThinking = false;
|
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textToEmit = `\n</think>\n\n${textToEmit}`;
|
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}
|
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const contentChunk = {
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id: streamId,
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object: 'chat.completion.chunk',
|
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@@ -1072,7 +1130,7 @@ export class ProxyService {
|
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choices: [
|
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{
|
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index: 0,
|
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delta: { content: part.text },
|
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delta: { content: textToEmit },
|
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finish_reason: null,
|
||||
},
|
||||
],
|
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@@ -1082,13 +1140,23 @@ export class ProxyService {
|
||||
}
|
||||
|
||||
if (candidate?.finishReason) {
|
||||
// Per the OpenAI spec, finish_reason must be "tool_calls" when the
|
||||
// response contains function calls. Gemini always sends "STOP" even
|
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// for tool call responses, so we infer from toolCallIndex.
|
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const mappedFinishReason =
|
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toolCallIndex > 0
|
||||
? 'tool_calls'
|
||||
: this.mapGeminiFinishReasonToOpenAIFinishReason(candidate.finishReason);
|
||||
if (isThinking) {
|
||||
isThinking = false;
|
||||
const closingChunk = {
|
||||
id: streamId,
|
||||
object: 'chat.completion.chunk',
|
||||
created: created,
|
||||
model: model,
|
||||
choices: [
|
||||
{
|
||||
index: 0,
|
||||
delta: { content: '\n</think>\n\n' },
|
||||
finish_reason: null,
|
||||
},
|
||||
],
|
||||
};
|
||||
pushChunk(closingChunk);
|
||||
}
|
||||
|
||||
const finishChunk = {
|
||||
id: streamId,
|
||||
@@ -1099,7 +1167,9 @@ export class ProxyService {
|
||||
{
|
||||
index: 0,
|
||||
delta: {},
|
||||
finish_reason: mappedFinishReason,
|
||||
finish_reason: this.mapGeminiFinishReasonToOpenAIFinishReason(
|
||||
candidate.finishReason,
|
||||
),
|
||||
},
|
||||
],
|
||||
};
|
||||
@@ -1109,7 +1179,7 @@ export class ProxyService {
|
||||
subscriber.complete();
|
||||
}
|
||||
} catch {
|
||||
// ignore parse errors on individual SSE lines
|
||||
// ignore parse errors
|
||||
}
|
||||
}
|
||||
});
|
||||
@@ -1130,6 +1200,23 @@ export class ProxyService {
|
||||
],
|
||||
});
|
||||
}
|
||||
if (streamOptions?.include_usage && lastUsageMetadata) {
|
||||
const usageChunk = {
|
||||
id: streamId,
|
||||
object: 'chat.completion.chunk',
|
||||
created,
|
||||
model,
|
||||
choices: [],
|
||||
usage: {
|
||||
prompt_tokens: lastUsageMetadata.promptTokenCount || 0,
|
||||
completion_tokens: lastUsageMetadata.candidatesTokenCount || 0,
|
||||
total_tokens:
|
||||
(lastUsageMetadata.promptTokenCount || 0) +
|
||||
(lastUsageMetadata.candidatesTokenCount || 0),
|
||||
},
|
||||
};
|
||||
pushChunk(usageChunk);
|
||||
}
|
||||
if (!hasSentDone) {
|
||||
subscriber.next('data: [DONE]\n\n');
|
||||
hasSentDone = true;
|
||||
@@ -1137,12 +1224,17 @@ export class ProxyService {
|
||||
subscriber.complete();
|
||||
});
|
||||
|
||||
upstreamStream.on('error', (err: unknown) => {
|
||||
// Convert to clean Error to avoid circular reference issues (socket objects)
|
||||
upstreamStream.on('error', (err) => {
|
||||
this.logger.error('OpenAI-compatible stream error:', err);
|
||||
const cleanError = err instanceof Error ? new Error(err.message) : new Error(String(err));
|
||||
this.logger.error(`OpenAI-compatible stream error: ${cleanError.message}`);
|
||||
subscriber.error(cleanError);
|
||||
});
|
||||
|
||||
return () => {
|
||||
if (typeof (upstreamStream as any).destroy === 'function') {
|
||||
(upstreamStream as any).destroy();
|
||||
}
|
||||
};
|
||||
});
|
||||
}
|
||||
|
||||
@@ -1153,42 +1245,10 @@ export class ProxyService {
|
||||
const model = response.model;
|
||||
const choice = response.choices?.[0];
|
||||
const finishReason = choice?.finish_reason ?? 'stop';
|
||||
const toolCalls = choice?.message?.tool_calls;
|
||||
const content =
|
||||
choice?.message && isString(choice.message.content) ? choice.message.content : '';
|
||||
const chunkSize = 80;
|
||||
|
||||
// Emit tool_call deltas first when the fallback non-streaming response contains tool calls.
|
||||
// Without this, tool calls are silently dropped when the primary stream path fails.
|
||||
if (toolCalls && toolCalls.length > 0) {
|
||||
for (let tcIndex = 0; tcIndex < toolCalls.length; tcIndex++) {
|
||||
const tc = toolCalls[tcIndex];
|
||||
const tcChunk = {
|
||||
id: streamId,
|
||||
object: 'chat.completion.chunk',
|
||||
created,
|
||||
model,
|
||||
choices: [
|
||||
{
|
||||
index: 0,
|
||||
delta: {
|
||||
tool_calls: [
|
||||
{
|
||||
index: tcIndex,
|
||||
id: tc.id,
|
||||
type: tc.type,
|
||||
function: tc.function,
|
||||
},
|
||||
],
|
||||
},
|
||||
finish_reason: null,
|
||||
},
|
||||
],
|
||||
};
|
||||
subscriber.next(`data: ${JSON.stringify(tcChunk)}\n\n`);
|
||||
}
|
||||
}
|
||||
|
||||
if (content.length === 0) {
|
||||
const finishChunk = {
|
||||
id: streamId,
|
||||
@@ -1595,14 +1655,12 @@ export class ProxyService {
|
||||
object: 'chat.completion',
|
||||
created: Math.floor(Date.now() / 1000),
|
||||
model: model,
|
||||
system_fingerprint: 'fp_gemininexus',
|
||||
choices: [
|
||||
{
|
||||
index: 0,
|
||||
message: {
|
||||
role: 'assistant',
|
||||
// When tool_calls are present, content must be null per OpenAI spec.
|
||||
content: toolCalls.length > 0 ? null : (finalContent || ''),
|
||||
content: finalContent ? finalContent : toolCalls.length > 0 ? null : '',
|
||||
tool_calls: toolCalls.length > 0 ? toolCalls : undefined,
|
||||
},
|
||||
finish_reason: this.mapAnthropicStopReasonToOpenAIFinishReason(
|
||||
@@ -1670,7 +1728,9 @@ export class ProxyService {
|
||||
if (error instanceof UpstreamRequestError) {
|
||||
const status = error.status;
|
||||
if (status === 401) {
|
||||
this.logger.warn(`Upstream returned 401 for account ${accountId}; attempting token refresh`);
|
||||
this.logger.warn(
|
||||
`Upstream returned 401 for account ${accountId}; attempting token refresh`,
|
||||
);
|
||||
const refreshed = await this.tokenManager.forceRefreshToken(accountId);
|
||||
if (refreshed) {
|
||||
this.logger.log(`Token refreshed successfully for account ${accountId}; retry permitted`);
|
||||
|
||||
@@ -848,34 +848,6 @@ export class GoogleAPIService {
|
||||
): Promise<{ credits: number; expiryDate: string } | null> {
|
||||
try {
|
||||
const fetchOptions = this.getFetchOptions(proxyUrl);
|
||||
|
||||
// Try loadCodeAssist first — fetchCredits returns 404 for many accounts
|
||||
// and loadCodeAssist provides the same paid tier credit data.
|
||||
const discoveryVersion = resolveLocalInstalledVersion() ?? FALLBACK_VERSION;
|
||||
const loadAssistResponse = await fetch(URLS.DAILY_LOAD_PROJECT, {
|
||||
method: 'POST',
|
||||
headers: buildInternalApiHeaders(accessToken),
|
||||
body: JSON.stringify({
|
||||
metadata: {
|
||||
ide_type: 'ANTIGRAVITY',
|
||||
ide_version: discoveryVersion,
|
||||
ide_name: 'geminiNexus',
|
||||
},
|
||||
}),
|
||||
signal: createTimeoutSignal(REQUEST_TIMEOUT_MS),
|
||||
...fetchOptions,
|
||||
});
|
||||
|
||||
if (loadAssistResponse.ok) {
|
||||
const loadAssistData = (await loadAssistResponse.json()) as LoadProjectResponse;
|
||||
const credits = extractAiCreditsFromProjectContext(loadAssistData);
|
||||
if (credits) {
|
||||
return credits;
|
||||
}
|
||||
}
|
||||
|
||||
// Fallback to the legacy fetchCredits endpoint if loadCodeAssist
|
||||
// did not return usable credit data.
|
||||
const response = await fetch(URLS.FETCH_CREDITS, {
|
||||
method: 'POST',
|
||||
headers: buildInternalApiHeaders(accessToken),
|
||||
@@ -895,7 +867,34 @@ export class GoogleAPIService {
|
||||
return toAiCredits(data);
|
||||
}
|
||||
|
||||
return null;
|
||||
if (response.status !== 404) {
|
||||
return null;
|
||||
}
|
||||
|
||||
// `fetchCredits` has started returning 404 for some accounts. Reuse the
|
||||
// internal `loadCodeAssist` payload, which also exposes paid tier credits.
|
||||
logger.warn('[GoogleAPIService] fetchCredits returned 404, falling back to loadCodeAssist');
|
||||
const discoveryVersion = resolveLocalInstalledVersion() ?? FALLBACK_VERSION;
|
||||
const fallbackResponse = await fetch(URLS.DAILY_LOAD_PROJECT, {
|
||||
method: 'POST',
|
||||
headers: buildInternalApiHeaders(accessToken),
|
||||
body: JSON.stringify({
|
||||
metadata: {
|
||||
ide_type: 'ANTIGRAVITY',
|
||||
ide_version: discoveryVersion,
|
||||
ide_name: 'geminiNexus',
|
||||
},
|
||||
}),
|
||||
signal: createTimeoutSignal(REQUEST_TIMEOUT_MS),
|
||||
...fetchOptions,
|
||||
});
|
||||
|
||||
if (!fallbackResponse.ok) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const fallbackData = (await fallbackResponse.json()) as LoadProjectResponse;
|
||||
return extractAiCreditsFromProjectContext(fallbackData);
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
|
||||
@@ -0,0 +1,173 @@
|
||||
import { describe, expect, it } from 'vitest';
|
||||
import { EventEmitter } from 'events';
|
||||
import { ProxyService } from '../../server/modules/proxy/proxy.service';
|
||||
import { Observable } from 'rxjs';
|
||||
|
||||
// Subclass to access private method
|
||||
class TestableProxyService extends ProxyService {
|
||||
constructor() {
|
||||
super({} as any, {} as any);
|
||||
}
|
||||
|
||||
public testProcessStream(
|
||||
stream: any,
|
||||
model: string = 'model',
|
||||
streamOptions?: { include_usage?: boolean },
|
||||
): Observable<string> {
|
||||
return (this as any).processStreamResponse(stream, model, streamOptions);
|
||||
}
|
||||
}
|
||||
|
||||
function parseSseChunk(raw: string): Record<string, unknown> {
|
||||
const lines = raw.split('\n').filter((l) => l.trim().startsWith('data: '));
|
||||
if (lines.length === 0) return {};
|
||||
const payload = lines[0].slice(6).trim();
|
||||
try {
|
||||
return JSON.parse(payload) as Record<string, unknown>;
|
||||
} catch {
|
||||
return {};
|
||||
}
|
||||
}
|
||||
|
||||
describe('ProxyService Tool Streaming (OpenAI format)', () => {
|
||||
it('should emit tool call deltas with id+name first, then arguments separately', async () => {
|
||||
const service = new TestableProxyService();
|
||||
const stream = new EventEmitter();
|
||||
const observable = service.testProcessStream(stream, 'gpt-4o');
|
||||
|
||||
const chunks: string[] = [];
|
||||
const done = new Promise<void>((resolve, reject) => {
|
||||
observable.subscribe({
|
||||
next: (chunk) => chunks.push(chunk),
|
||||
error: reject,
|
||||
complete: resolve,
|
||||
});
|
||||
});
|
||||
|
||||
const payload = JSON.stringify({
|
||||
candidates: [
|
||||
{
|
||||
content: {
|
||||
parts: [
|
||||
{ functionCall: { id: 'call_123', name: 'get_weather', args: { location: 'NYC' } } },
|
||||
],
|
||||
},
|
||||
finishReason: 'STOP',
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
stream.emit('data', Buffer.from(`data: ${payload}\n`));
|
||||
stream.emit('end');
|
||||
|
||||
await done;
|
||||
|
||||
const toolCallChunks = chunks.filter((c) => c.includes('"tool_calls"'));
|
||||
expect(toolCallChunks.length).toBeGreaterThanOrEqual(2);
|
||||
|
||||
const first = parseSseChunk(toolCallChunks[0]);
|
||||
const firstDeltas = (first.choices as any)?.[0]?.delta?.tool_calls as any[];
|
||||
expect(firstDeltas).toBeDefined();
|
||||
expect(firstDeltas[0].index).toBe(0);
|
||||
expect(firstDeltas[0].id).toBe('call_123');
|
||||
expect(firstDeltas[0].type).toBe('function');
|
||||
expect(firstDeltas[0].function.name).toBe('get_weather');
|
||||
expect(firstDeltas[0].function.arguments).toBe('');
|
||||
|
||||
const second = parseSseChunk(toolCallChunks[1]);
|
||||
const secondDeltas = (second.choices as any)?.[0]?.delta?.tool_calls as any[];
|
||||
expect(secondDeltas).toBeDefined();
|
||||
expect(secondDeltas[0].index).toBe(0);
|
||||
expect(secondDeltas[0].function.arguments).toBe('{"location":"NYC"}');
|
||||
// Subsequent deltas must NOT repeat id/type/name to keep strict clients happy
|
||||
expect(secondDeltas[0].id).toBeUndefined();
|
||||
expect(secondDeltas[0].type).toBeUndefined();
|
||||
expect(secondDeltas[0].function.name).toBeUndefined();
|
||||
});
|
||||
|
||||
it('should split large tool arguments into multiple argument deltas', async () => {
|
||||
const service = new TestableProxyService();
|
||||
const stream = new EventEmitter();
|
||||
const observable = service.testProcessStream(stream, 'gpt-4o');
|
||||
|
||||
const chunks: string[] = [];
|
||||
const done = new Promise<void>((resolve, reject) => {
|
||||
observable.subscribe({
|
||||
next: (chunk) => chunks.push(chunk),
|
||||
error: reject,
|
||||
complete: resolve,
|
||||
});
|
||||
});
|
||||
|
||||
const bigArgs = { code: 'a'.repeat(5000) };
|
||||
const payload = JSON.stringify({
|
||||
candidates: [
|
||||
{
|
||||
content: {
|
||||
parts: [{ functionCall: { id: 'call_456', name: 'write_file', args: bigArgs } }],
|
||||
},
|
||||
finishReason: 'STOP',
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
stream.emit('data', Buffer.from(`data: ${payload}\n`));
|
||||
stream.emit('end');
|
||||
|
||||
await done;
|
||||
|
||||
const toolCallChunks = chunks.filter((c) => c.includes('"tool_calls"'));
|
||||
// At least: 1st (id+name) + one or more argument deltas
|
||||
expect(toolCallChunks.length).toBeGreaterThanOrEqual(2);
|
||||
|
||||
const first = parseSseChunk(toolCallChunks[0]);
|
||||
expect((first.choices as any)[0].delta.tool_calls[0].function.arguments).toBe('');
|
||||
|
||||
// Concatenate all argument deltas
|
||||
let argsConcat = '';
|
||||
for (let i = 1; i < toolCallChunks.length; i++) {
|
||||
const parsed = parseSseChunk(toolCallChunks[i]);
|
||||
const argDelta = (parsed.choices as any)?.[0]?.delta?.tool_calls?.[0]?.function?.arguments;
|
||||
if (typeof argDelta === 'string') {
|
||||
argsConcat += argDelta;
|
||||
}
|
||||
}
|
||||
expect(argsConcat).toBe(JSON.stringify(bigArgs));
|
||||
});
|
||||
|
||||
it('should not break normal text streaming when no tools are present', async () => {
|
||||
const service = new TestableProxyService();
|
||||
const stream = new EventEmitter();
|
||||
const observable = service.testProcessStream(stream, 'gpt-4o');
|
||||
|
||||
const chunks: string[] = [];
|
||||
const done = new Promise<void>((resolve, reject) => {
|
||||
observable.subscribe({
|
||||
next: (chunk) => chunks.push(chunk),
|
||||
error: reject,
|
||||
complete: resolve,
|
||||
});
|
||||
});
|
||||
|
||||
const payload = JSON.stringify({
|
||||
candidates: [
|
||||
{
|
||||
content: {
|
||||
parts: [{ text: 'hello world' }],
|
||||
},
|
||||
finishReason: 'STOP',
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
stream.emit('data', Buffer.from(`data: ${payload}\n`));
|
||||
stream.emit('end');
|
||||
|
||||
await done;
|
||||
|
||||
const output = chunks.join('');
|
||||
expect(output).toContain('"content":"hello world"');
|
||||
expect(output).toContain('data: [DONE]');
|
||||
expect(output).not.toContain('"tool_calls"');
|
||||
});
|
||||
});
|
||||
Reference in new issue
Block a user