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| Author | SHA1 | Date | |
|---|---|---|---|
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a631887cd1 | ||
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4ce8d266ab | ||
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68474b56dc |
No files matched your search
@@ -1,3 +1,9 @@
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## [0.14.0](https://github.com/evandrodevbr/GeminiNexus/compare/v0.13.1...v0.14.0) (2026-04-29)
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### 🚀 Features
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* **proxy:** add OpenAI Responses API compatibility for Open CoDesign ([68474b5](https://github.com/evandrodevbr/GeminiNexus/commit/68474b56dca9c9bcd7b06eaae04c521f475e8e2c))
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## [0.13.1](https://github.com/evandrodevbr/GeminiNexus/compare/v0.13.0...v0.13.1) (2026-04-29)
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|
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### 🐛 Bug Fixes
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|
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+1
-1
@@ -1,7 +1,7 @@
|
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{
|
||||
"name": "gemini-nexus",
|
||||
"productName": "Gemini Nexus",
|
||||
"version": "0.13.1",
|
||||
"version": "0.14.0",
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"description": "Gemini Nexus - Electron App",
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"main": ".vite/build/main.js",
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"private": true,
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|
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@@ -162,6 +162,11 @@ function cleanJsonSchemaRecursive(value: any) {
|
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// 4. Physically remove "hard" blacklist items that interfere with generation
|
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const hardRemoveFields = [
|
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'$schema',
|
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'$id',
|
||||
'$comment',
|
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'$anchor',
|
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'$dynamicRef',
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'$dynamicAnchor',
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'additionalProperties',
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'enumCaseInsensitive',
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'enumNormalizeWhitespace',
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@@ -170,7 +175,15 @@ function cleanJsonSchemaRecursive(value: any) {
|
||||
'const',
|
||||
'examples',
|
||||
// Advanced logic fields common in MCP tools but unsupported by Gemini
|
||||
'patternProperties',
|
||||
'propertyNames',
|
||||
'additionalItems',
|
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'prefixItems',
|
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'contains',
|
||||
'minContains',
|
||||
'maxContains',
|
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'unevaluatedProperties',
|
||||
'unevaluatedItems',
|
||||
'anyOf',
|
||||
'oneOf',
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'allOf',
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|
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@@ -46,7 +46,9 @@ export class ProxyController {
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|
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constructor(
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@Inject(ProxyService) private readonly proxyService: ProxyService,
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@Optional() @Inject(ProxyReplayService) private readonly proxyReplayService?: ProxyReplayService,
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@Optional()
|
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@Inject(ProxyReplayService)
|
||||
private readonly proxyReplayService?: ProxyReplayService,
|
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@Optional() @Inject(TokenManagerService) private readonly tokenManager?: TokenManagerService,
|
||||
@Optional() @Inject(ProxyMetricsService) private readonly proxyMetrics?: ProxyMetricsService,
|
||||
) {}
|
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@@ -113,7 +115,9 @@ export class ProxyController {
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const metrics = this.proxyMetrics?.getMetrics();
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const circuitBreakerStatus = this.tokenManager?.getCircuitBreakerStatus() ?? {};
|
||||
const accountCount = Object.keys(circuitBreakerStatus).length;
|
||||
const healthyAccounts = Object.values(circuitBreakerStatus).filter(s => s.state === 'healthy').length;
|
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const healthyAccounts = Object.values(circuitBreakerStatus).filter(
|
||||
(s) => s.state === 'healthy',
|
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).length;
|
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|
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res.status(HttpStatus.OK).send({
|
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status: 'healthy',
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@@ -162,7 +166,8 @@ export class ProxyController {
|
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}
|
||||
const startTime = Date.now();
|
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try {
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const requests = this.proxyReplayService?.getRecentRequests(limit ? parseInt(limit, 10) : undefined) ?? [];
|
||||
const requests =
|
||||
this.proxyReplayService?.getRecentRequests(limit ? parseInt(limit, 10) : undefined) ?? [];
|
||||
this.setProxyHeaders(res, { requestId: uuidv4(), accountId: '', retryCount: 0, model: '' });
|
||||
res.status(HttpStatus.OK).send({
|
||||
object: 'list',
|
||||
@@ -226,7 +231,8 @@ export class ProxyController {
|
||||
const capabilitiesMap = this.buildCapabilitiesMap();
|
||||
|
||||
const data = modelIds.map((id) => {
|
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const baseId = Object.keys(capabilitiesMap).find((key) => id.includes(key)) ?? 'gemini-3-flash';
|
||||
const baseId =
|
||||
Object.keys(capabilitiesMap).find((key) => id.includes(key)) ?? 'gemini-3-flash';
|
||||
return {
|
||||
id,
|
||||
object: 'model_capability',
|
||||
@@ -247,7 +253,9 @@ export class ProxyController {
|
||||
} catch (error) {
|
||||
const message = error instanceof Error ? error.message : 'Failed to list model capabilities';
|
||||
this.logger.error(message, error instanceof Error ? error.stack : undefined);
|
||||
res.status(HttpStatus.INTERNAL_SERVER_ERROR).send({ error: { message, type: 'internal_server_error' } });
|
||||
res
|
||||
.status(HttpStatus.INTERNAL_SERVER_ERROR)
|
||||
.send({ error: { message, type: 'internal_server_error' } });
|
||||
this.proxyMetrics?.recordRequest({
|
||||
timestamp: startTime,
|
||||
duration: Date.now() - startTime,
|
||||
@@ -257,9 +265,27 @@ export class ProxyController {
|
||||
}
|
||||
}
|
||||
|
||||
private buildCapabilitiesMap(): Record<string, { vision: boolean; streaming: boolean; jsonMode: boolean; audio: boolean; imageGeneration: boolean }> {
|
||||
private buildCapabilitiesMap(): Record<
|
||||
string,
|
||||
{
|
||||
vision: boolean;
|
||||
streaming: boolean;
|
||||
jsonMode: boolean;
|
||||
audio: boolean;
|
||||
imageGeneration: boolean;
|
||||
}
|
||||
> {
|
||||
const allTokens = this.tokenManager?.getAllTokens() ?? [];
|
||||
const map: Record<string, { vision: boolean; streaming: boolean; jsonMode: boolean; audio: boolean; imageGeneration: boolean }> = {};
|
||||
const map: Record<
|
||||
string,
|
||||
{
|
||||
vision: boolean;
|
||||
streaming: boolean;
|
||||
jsonMode: boolean;
|
||||
audio: boolean;
|
||||
imageGeneration: boolean;
|
||||
}
|
||||
> = {};
|
||||
|
||||
for (const [, tokenData] of allTokens) {
|
||||
for (const [modelId, modelInfo] of Object.entries(tokenData.quota?.models ?? {})) {
|
||||
@@ -278,7 +304,13 @@ export class ProxyController {
|
||||
|
||||
if (Object.keys(map).length === 0) {
|
||||
return {
|
||||
'gemini-3-flash': { vision: true, streaming: true, jsonMode: true, audio: false, imageGeneration: false },
|
||||
'gemini-3-flash': {
|
||||
vision: true,
|
||||
streaming: true,
|
||||
jsonMode: true,
|
||||
audio: false,
|
||||
imageGeneration: false,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
@@ -302,14 +334,14 @@ export class ProxyController {
|
||||
const request = requests[i];
|
||||
const proxyContext: ProxyRequestContext = {};
|
||||
try {
|
||||
const result = await this.proxyService.handleChatCompletions(
|
||||
request,
|
||||
proxyContext,
|
||||
);
|
||||
const result = await this.proxyService.handleChatCompletions(request, proxyContext);
|
||||
if (this.isObservableLike(result)) {
|
||||
responses.push({
|
||||
index: i,
|
||||
error: { message: 'Streaming not supported in batch mode', type: 'invalid_request_error' },
|
||||
error: {
|
||||
message: 'Streaming not supported in batch mode',
|
||||
type: 'invalid_request_error',
|
||||
},
|
||||
});
|
||||
} else {
|
||||
responses.push({
|
||||
@@ -462,7 +494,14 @@ export class ProxyController {
|
||||
const result = await this.proxyService.handleChatCompletions(request, proxyContext);
|
||||
isStream = !!(body.stream && this.isObservableLike(result));
|
||||
if (isStream) {
|
||||
this.writeSseResponse(res, result as Observable<unknown>, undefined, '/v1/completions', startTime, proxyContext);
|
||||
this.writeSseResponse(
|
||||
res,
|
||||
result as Observable<unknown>,
|
||||
undefined,
|
||||
'/v1/completions',
|
||||
startTime,
|
||||
proxyContext,
|
||||
);
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -508,6 +547,7 @@ export class ProxyController {
|
||||
temperature?: number;
|
||||
top_p?: number;
|
||||
stream?: boolean;
|
||||
reasoning?: { effort?: string };
|
||||
},
|
||||
@Req() req: FastifyRequest,
|
||||
@Res() res: FastifyReply,
|
||||
@@ -527,11 +567,24 @@ export class ProxyController {
|
||||
const proxyContext: ProxyRequestContext = {};
|
||||
let isStream = false;
|
||||
|
||||
this.logger.log(
|
||||
`[/v1/responses] Converted input: ${Array.isArray(body.input) ? body.input.length : 0} items → ${request.messages.length} messages, ` +
|
||||
`model=${request.model}, stream=${body.stream}, tools=${request.tools?.length ?? 0}, ` +
|
||||
`reasoning=${body.reasoning?.effort ?? 'default'}`,
|
||||
);
|
||||
|
||||
try {
|
||||
const result = await this.proxyService.handleChatCompletions(request, proxyContext);
|
||||
isStream = !!(body.stream && this.isObservableLike(result));
|
||||
if (isStream) {
|
||||
this.writeSseResponse(res, result as Observable<unknown>, undefined, '/v1/responses', startTime, proxyContext);
|
||||
this.writeSseResponse(
|
||||
res,
|
||||
result as Observable<unknown>,
|
||||
undefined,
|
||||
'/v1/responses',
|
||||
startTime,
|
||||
proxyContext,
|
||||
);
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -840,14 +893,18 @@ export class ProxyController {
|
||||
const proxyContext: ProxyRequestContext = {};
|
||||
let isStream = false;
|
||||
try {
|
||||
const result = await this.proxyService.handleChatCompletions(
|
||||
body,
|
||||
proxyContext,
|
||||
);
|
||||
const result = await this.proxyService.handleChatCompletions(body, proxyContext);
|
||||
|
||||
isStream = !!(body.stream && this.isObservableLike(result));
|
||||
if (isStream) {
|
||||
this.writeSseResponse(res, result as Observable<unknown>, requestId, '/v1/chat/completions', startTime, proxyContext);
|
||||
this.writeSseResponse(
|
||||
res,
|
||||
result as Observable<unknown>,
|
||||
requestId,
|
||||
'/v1/chat/completions',
|
||||
startTime,
|
||||
proxyContext,
|
||||
);
|
||||
return;
|
||||
} else {
|
||||
const duration = Date.now() - startTime;
|
||||
@@ -918,7 +975,14 @@ export class ProxyController {
|
||||
isStream = !!(body.stream && this.isObservableLike(result));
|
||||
|
||||
if (isStream) {
|
||||
this.writeSseResponse(res, result as Observable<unknown>, undefined, '/v1/messages', startTime, proxyContext);
|
||||
this.writeSseResponse(
|
||||
res,
|
||||
result as Observable<unknown>,
|
||||
undefined,
|
||||
'/v1/messages',
|
||||
startTime,
|
||||
proxyContext,
|
||||
);
|
||||
return;
|
||||
} else {
|
||||
const duration = Date.now() - startTime;
|
||||
@@ -1017,6 +1081,7 @@ export class ProxyController {
|
||||
temperature?: number;
|
||||
top_p?: number;
|
||||
stream?: boolean;
|
||||
reasoning?: { effort?: string };
|
||||
}): OpenAIChatRequest {
|
||||
const messages: OpenAIChatRequest['messages'] = [];
|
||||
if (isString(body.instructions) && !isEmpty(body.instructions.trim())) {
|
||||
@@ -1054,21 +1119,59 @@ export class ProxyController {
|
||||
}
|
||||
}
|
||||
|
||||
for (const item of inputItems) {
|
||||
for (let idx = 0; idx < inputItems.length; idx++) {
|
||||
const item = inputItems[idx];
|
||||
const itemObj = this.toRecord(item);
|
||||
if (!itemObj) {
|
||||
this.logger.debug(`[/v1/responses] input[${idx}]: skipped (not an object)`);
|
||||
continue;
|
||||
}
|
||||
|
||||
const type = this.asString(itemObj.type);
|
||||
const role = this.asString(itemObj.role);
|
||||
|
||||
// Items without a type but with role/content — treat as regular chat messages
|
||||
// (common in clients like Open CoDesign that mix chat and responses formats)
|
||||
if (!type) {
|
||||
if (role && itemObj.content !== undefined) {
|
||||
const content = this.normalizeResponsesMessageContent(itemObj.content);
|
||||
messages.push({ role, content });
|
||||
this.logger.debug(`[/v1/responses] input[${idx}]: no-type fallback → role=${role}`);
|
||||
} else {
|
||||
this.logger.warn(
|
||||
`[/v1/responses] input[${idx}]: dropped (no type, no role/content). Keys: ${Object.keys(itemObj).join(',')}`,
|
||||
);
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
if (type === 'message') {
|
||||
const role = this.asString(itemObj.role) ?? 'user';
|
||||
const messageRole = role ?? 'user';
|
||||
const content = this.normalizeResponsesMessageContent(itemObj.content);
|
||||
messages.push({ role, content });
|
||||
messages.push({ role: messageRole, content });
|
||||
this.logger.debug(`[/v1/responses] input[${idx}]: type=message, role=${messageRole}`);
|
||||
continue;
|
||||
}
|
||||
|
||||
// Responses API text item types
|
||||
if (type === 'input_text') {
|
||||
const text = this.asString(itemObj.text) ?? '';
|
||||
if (text) {
|
||||
messages.push({ role: 'user', content: text });
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
if (type === 'output_text') {
|
||||
const text = this.asString(itemObj.text) ?? '';
|
||||
if (text) {
|
||||
messages.push({ role: 'assistant', content: text });
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
// Reasoning items can be silently skipped — they are model-internal
|
||||
if (type === 'reasoning') {
|
||||
continue;
|
||||
}
|
||||
|
||||
@@ -1105,6 +1208,13 @@ export class ProxyController {
|
||||
});
|
||||
continue;
|
||||
}
|
||||
|
||||
// Fallback: if the item has role + content but an unrecognized type, treat as message
|
||||
const fallbackRole = this.asString(itemObj.role);
|
||||
if (fallbackRole && itemObj.content !== undefined) {
|
||||
const content = this.normalizeResponsesMessageContent(itemObj.content);
|
||||
messages.push({ role: fallbackRole, content });
|
||||
}
|
||||
}
|
||||
} else if (isString(body.input)) {
|
||||
messages.push({
|
||||
@@ -1125,17 +1235,64 @@ export class ProxyController {
|
||||
});
|
||||
}
|
||||
|
||||
// Forward reasoning effort to the extra field so convertOpenAIToClaude can relay it
|
||||
const extra: Record<string, unknown> = {};
|
||||
if (body.reasoning?.effort) {
|
||||
extra.reasoning_effort = body.reasoning.effort;
|
||||
}
|
||||
|
||||
// Normalize Responses API tool format to Chat Completions format.
|
||||
// Responses API: { type: "function", name: "...", parameters: {...} }
|
||||
// Chat Completions: { type: "function", function: { name: "...", parameters: {...} } }
|
||||
const normalizedTools = this.normalizeResponsesTools(body.tools);
|
||||
|
||||
return {
|
||||
model: body.model ?? 'gemini-3-flash',
|
||||
messages,
|
||||
tools: body.tools,
|
||||
tools: normalizedTools,
|
||||
max_tokens: body.max_output_tokens,
|
||||
temperature: body.temperature,
|
||||
top_p: body.top_p,
|
||||
stream: body.stream,
|
||||
...(Object.keys(extra).length > 0 ? { extra } : {}),
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Convert tools from OpenAI Responses API format to Chat Completions format.
|
||||
* Responses API puts name/description/parameters at the top level of the tool object,
|
||||
* while Chat Completions nests them under a `.function` property.
|
||||
*/
|
||||
private normalizeResponsesTools(tools?: OpenAIChatRequest['tools']): OpenAIChatRequest['tools'] {
|
||||
if (!tools || tools.length === 0) {
|
||||
return tools;
|
||||
}
|
||||
|
||||
return tools.map((tool) => {
|
||||
// Already in Chat Completions format (has .function.name)
|
||||
if (tool.function?.name) {
|
||||
return tool;
|
||||
}
|
||||
|
||||
// Responses API format: name/description/parameters at top level
|
||||
const topLevelName = this.asString((tool as Record<string, unknown>).name);
|
||||
if (topLevelName) {
|
||||
const raw = tool as Record<string, unknown>;
|
||||
return {
|
||||
type: 'function',
|
||||
function: {
|
||||
name: topLevelName,
|
||||
description: this.asString(raw.description) ?? undefined,
|
||||
parameters: (raw.parameters ?? raw.input_schema) as Record<string, unknown> | undefined,
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
// Unknown format — pass through as-is
|
||||
return tool;
|
||||
});
|
||||
}
|
||||
|
||||
private normalizeResponsesMessageContent(content: unknown): string | OpenAIContentPart[] {
|
||||
if (isString(content)) {
|
||||
return content;
|
||||
|
||||
@@ -55,7 +55,10 @@ export interface ProxyConfigOverride {
|
||||
@Injectable()
|
||||
export class ProxyService {
|
||||
private readonly logger = new Logger(ProxyService.name);
|
||||
private readonly responseCache = new Map<string, { response: OpenAIChatResponse; expiry: number }>();
|
||||
private readonly responseCache = new Map<
|
||||
string,
|
||||
{ response: OpenAIChatResponse; expiry: number }
|
||||
>();
|
||||
private readonly CACHE_TTL_MS = 60000; // 1 minute
|
||||
|
||||
constructor(
|
||||
@@ -79,7 +82,7 @@ export class ProxyService {
|
||||
}
|
||||
const prompt = usage.promptTokenCount ?? 0;
|
||||
const completion = usage.candidatesTokenCount ?? 0;
|
||||
const total = usage.totalTokenCount ?? (prompt + completion);
|
||||
const total = usage.totalTokenCount ?? prompt + completion;
|
||||
this.tokenUsageService.recordUsage({
|
||||
accountId,
|
||||
model,
|
||||
@@ -995,7 +998,10 @@ export class ProxyService {
|
||||
`Transformed Claude response snippet: ${JSON.stringify(claudeResponse).substring(0, 500)}`,
|
||||
);
|
||||
const openaiResponse = this.convertClaudeToOpenAIResponse(claudeResponse, request.model);
|
||||
const transformedResponse = this.applyResponseFormatTransformation(openaiResponse, request);
|
||||
const transformedResponse = this.applyResponseFormatTransformation(
|
||||
openaiResponse,
|
||||
request,
|
||||
);
|
||||
this.setCachedResponse(this.buildCacheKey(request), transformedResponse);
|
||||
if (context) {
|
||||
context.cacheStatus = 'MISS';
|
||||
@@ -1058,8 +1064,14 @@ export class ProxyService {
|
||||
);
|
||||
this.recordUsage(token.id, effectiveTargetModel, response.usageMetadata, 'openai');
|
||||
const claudeResponse = transformResponse(response);
|
||||
const openaiResponse = this.convertClaudeToOpenAIResponse(claudeResponse, request.model);
|
||||
const transformedResponse = this.applyResponseFormatTransformation(openaiResponse, request);
|
||||
const openaiResponse = this.convertClaudeToOpenAIResponse(
|
||||
claudeResponse,
|
||||
request.model,
|
||||
);
|
||||
const transformedResponse = this.applyResponseFormatTransformation(
|
||||
openaiResponse,
|
||||
request,
|
||||
);
|
||||
this.setCachedResponse(this.buildCacheKey(request), transformedResponse);
|
||||
if (context) {
|
||||
context.cacheStatus = 'MISS';
|
||||
@@ -1636,7 +1648,8 @@ export class ProxyService {
|
||||
const anthropicMessages: ClaudeRequest['messages'] = [];
|
||||
|
||||
for (const msg of messages) {
|
||||
if (msg.role === 'system') {
|
||||
// 'developer' is OpenAI's newer equivalent of 'system'
|
||||
if (msg.role === 'system' || msg.role === 'developer') {
|
||||
const systemText = this.extractOpenAITextContent(msg.content);
|
||||
if (systemText) {
|
||||
systemPromptParts.push(systemText);
|
||||
@@ -1679,12 +1692,31 @@ export class ProxyService {
|
||||
});
|
||||
}
|
||||
|
||||
if (request.response_format?.type === 'json_object' || request.response_format?.type === 'json_schema') {
|
||||
systemPromptParts.push('You must format your entire response as a single valid JSON object. Do not include any markdown formatting, explanations, or text outside the JSON structure.');
|
||||
if (
|
||||
request.response_format?.type === 'json_object' ||
|
||||
request.response_format?.type === 'json_schema'
|
||||
) {
|
||||
systemPromptParts.push(
|
||||
'You must format your entire response as a single valid JSON object. Do not include any markdown formatting, explanations, or text outside the JSON structure.',
|
||||
);
|
||||
}
|
||||
|
||||
const systemPrompt = systemPromptParts.length > 0 ? systemPromptParts.join('\n') : undefined;
|
||||
|
||||
// Map OpenAI reasoning_effort to Claude thinking config
|
||||
const reasoningEffort = String(request.extra?.reasoning_effort ?? '').toLowerCase();
|
||||
let thinking: ClaudeRequest['thinking'] | undefined;
|
||||
if (reasoningEffort === 'none') {
|
||||
// Explicitly disable thinking when client requests no reasoning
|
||||
thinking = { type: 'disabled' };
|
||||
} else if (
|
||||
reasoningEffort === 'low' ||
|
||||
reasoningEffort === 'medium' ||
|
||||
reasoningEffort === 'high'
|
||||
) {
|
||||
thinking = { type: 'adaptive', effort: reasoningEffort };
|
||||
}
|
||||
|
||||
return {
|
||||
model: request.model,
|
||||
messages: anthropicMessages,
|
||||
@@ -1694,6 +1726,7 @@ export class ProxyService {
|
||||
temperature: request.temperature,
|
||||
top_p: request.top_p,
|
||||
stream: request.stream,
|
||||
...(thinking ? { thinking } : {}),
|
||||
metadata: {
|
||||
...(request.extra ?? {}),
|
||||
source: 'openai',
|
||||
@@ -1704,10 +1737,19 @@ export class ProxyService {
|
||||
private convertOpenAIPartsToAnthropicContent(
|
||||
content: OpenAIChatRequest['messages'][number]['content'],
|
||||
): AnthropicContent[] {
|
||||
if (content == null) {
|
||||
return [];
|
||||
}
|
||||
|
||||
if (isString(content)) {
|
||||
return content.trim() ? [{ type: 'text', text: content }] : [];
|
||||
}
|
||||
|
||||
// Guard against non-array content (e.g. an object or number)
|
||||
if (!Array.isArray(content)) {
|
||||
return [{ type: 'text', text: String(content) }];
|
||||
}
|
||||
|
||||
const blocks: AnthropicContent[] = [];
|
||||
for (const part of content) {
|
||||
if (part.type === 'text' && part.text) {
|
||||
@@ -1738,10 +1780,18 @@ export class ProxyService {
|
||||
private extractOpenAITextContent(
|
||||
content: OpenAIChatRequest['messages'][number]['content'],
|
||||
): string {
|
||||
if (content == null) {
|
||||
return '';
|
||||
}
|
||||
|
||||
if (isString(content)) {
|
||||
return content;
|
||||
}
|
||||
|
||||
if (!Array.isArray(content)) {
|
||||
return String(content);
|
||||
}
|
||||
|
||||
return content
|
||||
.filter((part) => part.type === 'text')
|
||||
.map((part) => part.text || '')
|
||||
|
||||
Reference in new issue
Block a user