mirror of
https://github.com/fosrl/pangolin.git
synced 2026-08-14 00:09:55 +02:00
format custom error codes according to capability
This commit is contained in:
@@ -8,8 +8,11 @@ export type AiCapabilityRoute = {
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path: string;
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};
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export type AiProtocolFamily = "openai" | "anthropic" | "google" | "bedrock";
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export type AiCapabilityDefinition = {
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id: AiCapability;
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protocolFamily: AiProtocolFamily;
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routes: AiCapabilityRoute[];
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extractModel: (req: Request) => string | undefined;
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resolveUpstreamUrl: (
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@@ -18,41 +21,8 @@ export type AiCapabilityDefinition = {
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model: string
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) => string;
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isStreaming: (req: Request, contentType: string) => boolean;
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/** Protocol-shaped body returned when gateway auth fails for this capability. */
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authErrorBody: Record<string, unknown>;
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};
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const AUTH_MESSAGE = "Invalid API key provided.";
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export const OPENAI_AUTH_ERROR_BODY = {
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error: {
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message: AUTH_MESSAGE,
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type: "authentication_error",
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param: null,
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code: "invalid_api_key"
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}
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} as const;
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const ANTHROPIC_AUTH_ERROR_BODY = {
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type: "error",
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error: {
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type: "authentication_error",
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message: AUTH_MESSAGE
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}
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} as const;
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const GOOGLE_AUTH_ERROR_BODY = {
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error: {
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code: 401,
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message: AUTH_MESSAGE,
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status: "UNAUTHENTICATED"
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}
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} as const;
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const BEDROCK_AUTH_ERROR_BODY = {
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message: "The security token included in the request is invalid."
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} as const;
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function bodyModel(req: Request): string | undefined {
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return typeof req.body?.model === "string" ? req.body.model : undefined;
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}
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@@ -137,6 +107,7 @@ export const AI_CAPABILITY_DEFS: Record<AiCapability, AiCapabilityDefinition> =
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{
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openai_chat: {
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id: "openai_chat",
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protocolFamily: "openai",
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routes: [
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{ method: "POST", path: "/v1/chat/completions" },
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{ method: "POST", path: "/chat/completions" }
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@@ -144,29 +115,29 @@ export const AI_CAPABILITY_DEFS: Record<AiCapability, AiCapabilityDefinition> =
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extractModel: bodyModel,
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resolveUpstreamUrl: (base, req) =>
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joinUpstreamUrl(base, pathFromRequest(req)),
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isStreaming: isBodyOrSseStreaming,
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authErrorBody: OPENAI_AUTH_ERROR_BODY
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isStreaming: isBodyOrSseStreaming
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},
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openai_responses: {
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id: "openai_responses",
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protocolFamily: "openai",
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routes: [{ method: "POST", path: "/v1/responses" }],
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extractModel: bodyModel,
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resolveUpstreamUrl: (base, req) =>
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joinUpstreamUrl(base, pathFromRequest(req)),
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isStreaming: isBodyOrSseStreaming,
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authErrorBody: OPENAI_AUTH_ERROR_BODY
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isStreaming: isBodyOrSseStreaming
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},
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anthropic_messages: {
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id: "anthropic_messages",
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protocolFamily: "anthropic",
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routes: [{ method: "POST", path: "/v1/messages" }],
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extractModel: bodyModel,
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resolveUpstreamUrl: (base, req) =>
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joinUpstreamUrl(base, pathFromRequest(req)),
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isStreaming: isBodyOrSseStreaming,
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authErrorBody: ANTHROPIC_AUTH_ERROR_BODY
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isStreaming: isBodyOrSseStreaming
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},
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gemini_generate_content: {
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id: "gemini_generate_content",
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protocolFamily: "google",
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routes: [
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{
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method: "POST",
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@@ -180,11 +151,11 @@ export const AI_CAPABILITY_DEFS: Record<AiCapability, AiCapabilityDefinition> =
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extractModel: paramModel,
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resolveUpstreamUrl: (base, req) =>
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joinUpstreamUrl(base, pathFromRequest(req)),
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isStreaming: isGeminiStyleStreaming,
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authErrorBody: GOOGLE_AUTH_ERROR_BODY
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isStreaming: isGeminiStyleStreaming
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},
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google_generate_content: {
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id: "google_generate_content",
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protocolFamily: "google",
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routes: [
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{
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method: "POST",
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@@ -199,11 +170,11 @@ export const AI_CAPABILITY_DEFS: Record<AiCapability, AiCapabilityDefinition> =
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extractModel: paramModel,
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resolveUpstreamUrl: (base, req) =>
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joinUpstreamUrl(base, pathFromRequest(req)),
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isStreaming: isGeminiStyleStreaming,
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authErrorBody: GOOGLE_AUTH_ERROR_BODY
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isStreaming: isGeminiStyleStreaming
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},
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google_raw_predict: {
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id: "google_raw_predict",
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protocolFamily: "google",
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routes: [
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{
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method: "POST",
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@@ -220,11 +191,11 @@ export const AI_CAPABILITY_DEFS: Record<AiCapability, AiCapabilityDefinition> =
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isStreaming: (req, contentType) =>
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pathIncludes(req, "streamRawPredict") ||
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pathIncludes(req, "alt=sse") ||
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contentTypeIsSse(contentType),
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authErrorBody: GOOGLE_AUTH_ERROR_BODY
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contentTypeIsSse(contentType)
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},
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bedrock_model_invoke: {
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id: "bedrock_model_invoke",
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protocolFamily: "bedrock",
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routes: [
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{ method: "POST", path: "/model/:model/invoke" },
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{
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@@ -238,11 +209,11 @@ export const AI_CAPABILITY_DEFS: Record<AiCapability, AiCapabilityDefinition> =
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isStreaming: (req, contentType) =>
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pathIncludes(req, "invoke-with-response-stream") ||
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contentTypeIsAmazonEventStream(contentType) ||
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contentTypeIsSse(contentType),
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authErrorBody: BEDROCK_AUTH_ERROR_BODY
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contentTypeIsSse(contentType)
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},
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bedrock_converse: {
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id: "bedrock_converse",
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protocolFamily: "bedrock",
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routes: [
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{ method: "POST", path: "/model/:model/converse" },
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{ method: "POST", path: "/model/:model/converse-stream" }
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@@ -253,8 +224,7 @@ export const AI_CAPABILITY_DEFS: Record<AiCapability, AiCapabilityDefinition> =
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isStreaming: (req, contentType) =>
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pathIncludes(req, "converse-stream") ||
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contentTypeIsAmazonEventStream(contentType) ||
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contentTypeIsSse(contentType),
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authErrorBody: BEDROCK_AUTH_ERROR_BODY
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contentTypeIsSse(contentType)
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}
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};
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@@ -1,7 +1,7 @@
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import {
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AI_CAPABILITY_DEFS,
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OPENAI_AUTH_ERROR_BODY,
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type AiCapability
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type AiCapability,
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type AiProtocolFamily
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} from "@server/lib/aiCapabilities";
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import HttpCode from "@server/types/HttpCode";
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@@ -11,17 +11,129 @@ export type ClientErrorResponse = {
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body: string;
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};
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export type AiCapabilityErrorKind =
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| "authentication"
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| "invalid_request"
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| "not_found"
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| "permission"
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| "rate_limit"
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| "internal";
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const AUTH_MESSAGE = "Invalid API key provided.";
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type KindFields = {
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openaiType: string;
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openaiCode: string | null;
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anthropicType: string;
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googleStatus: string;
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};
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const KIND_FIELDS: Record<AiCapabilityErrorKind, KindFields> = {
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authentication: {
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openaiType: "authentication_error",
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openaiCode: "invalid_api_key",
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anthropicType: "authentication_error",
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googleStatus: "UNAUTHENTICATED"
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},
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invalid_request: {
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openaiType: "invalid_request_error",
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openaiCode: null,
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anthropicType: "invalid_request_error",
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googleStatus: "INVALID_ARGUMENT"
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},
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not_found: {
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openaiType: "invalid_request_error",
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openaiCode: null,
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anthropicType: "not_found_error",
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googleStatus: "NOT_FOUND"
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},
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permission: {
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openaiType: "invalid_request_error",
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openaiCode: null,
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anthropicType: "permission_error",
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googleStatus: "PERMISSION_DENIED"
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},
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rate_limit: {
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openaiType: "rate_limit_error",
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openaiCode: "rate_limit_exceeded",
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anthropicType: "rate_limit_error",
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googleStatus: "RESOURCE_EXHAUSTED"
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},
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internal: {
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openaiType: "api_error",
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openaiCode: null,
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anthropicType: "api_error",
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googleStatus: "INTERNAL"
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}
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};
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function resolveProtocolFamily(
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capability: AiCapability | null
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): AiProtocolFamily {
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if (capability == null) {
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return "openai";
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}
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return AI_CAPABILITY_DEFS[capability].protocolFamily;
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}
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/**
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* Build a protocol-native error body for the given capability.
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* Message stays contextual; only the envelope/machine fields follow the
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* capability's native API shape.
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*/
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export function buildAiCapabilityErrorBody(
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capability: AiCapability | null,
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kind: AiCapabilityErrorKind,
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message: string,
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httpStatus?: number
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): Record<string, unknown> {
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const family = resolveProtocolFamily(capability);
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const fields = KIND_FIELDS[kind];
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switch (family) {
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case "openai":
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return {
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error: {
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message,
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type: fields.openaiType,
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param: null,
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code: fields.openaiCode
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}
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};
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case "anthropic":
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return {
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type: "error",
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error: {
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type: fields.anthropicType,
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message
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}
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};
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case "google":
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return {
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error: {
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code: httpStatus ?? HttpCode.BAD_REQUEST,
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message,
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status: fields.googleStatus
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}
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};
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case "bedrock":
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return { message };
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}
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}
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export function buildInferenceAuthClientError(
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capability: AiCapability | null
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): ClientErrorResponse {
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const body =
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capability != null
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? AI_CAPABILITY_DEFS[capability].authErrorBody
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: OPENAI_AUTH_ERROR_BODY;
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return {
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statusCode: HttpCode.UNAUTHORIZED,
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contentType: "application/json",
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body: JSON.stringify(body)
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body: JSON.stringify(
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buildAiCapabilityErrorBody(
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capability,
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"authentication",
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AUTH_MESSAGE,
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HttpCode.UNAUTHORIZED
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)
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)
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};
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}
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@@ -31,6 +31,10 @@ import {
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providerHasCapability,
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type AiCapability
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} from "@server/lib/aiCapabilities";
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import {
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buildAiCapabilityErrorBody,
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type AiCapabilityErrorKind
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} from "@server/lib/aiGatewayAuthError";
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import { proxyAiGatewayToSiteTarget } from "@server/routers/aiGateway/targetRouting";
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import {
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SESSION_COOKIE_NAME,
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@@ -150,7 +154,12 @@ type ResolvedTarget = {
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type ProviderSelection =
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| { ok: true; provider: AiProvider }
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| { ok: false; status: number; message: string };
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| {
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ok: false;
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status: number;
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kind: AiCapabilityErrorKind;
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message: string;
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};
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export type RequestUser = {
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userId: string;
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@@ -241,10 +250,6 @@ async function resolveRequestUser(
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const virtualApiKeyId =
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getRequestHeader(req, remoteHeaders.virtual_api_key_id) || null;
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const userId = getRequestHeader(req, remoteHeaders.user_id);
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logger.debug("+++++++AI gateway request identity from trust header", {
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virtualApiKeyId,
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userId
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});
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if (userId) {
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const username =
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getRequestHeader(req, remoteHeaders.user) || userId;
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@@ -499,6 +504,7 @@ async function selectProvider(
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return {
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ok: false,
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status: HttpCode.FORBIDDEN,
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kind: "invalid_request",
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message: "A model must be specified for this resource"
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};
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}
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@@ -511,6 +517,7 @@ async function selectProvider(
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return {
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ok: false,
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status: HttpCode.FORBIDDEN,
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kind: "permission",
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message: `Model "${requestedModel}" is not permitted on this resource`
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};
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}
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@@ -571,6 +578,7 @@ async function selectProvider(
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return {
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ok: false,
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status: HttpCode.FORBIDDEN,
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kind: "permission",
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message: `Model "${requestedModel}" is not permitted on this resource`
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};
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}
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@@ -607,6 +615,7 @@ async function selectProvider(
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return {
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ok: false,
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status: HttpCode.FORBIDDEN,
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kind: "permission",
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message: `Model "${requestedModel}" is ambiguous across multiple AI providers on this resource. Ask your administrator to configure a more specific allow pattern for this model.`
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};
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}
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@@ -745,21 +754,29 @@ export async function handleAiGatewayProxy(
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if (!host) {
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return res
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.status(HttpCode.BAD_REQUEST)
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.json({ error: { message: "Missing Host header" } });
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.json(
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buildAiCapabilityErrorBody(
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capability,
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"invalid_request",
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"Missing Host header",
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HttpCode.BAD_REQUEST
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)
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);
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}
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logger.info(`AI gateway ${capability} request for host: ${host}`);
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logger.debug("AI gateway request headers", {
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headers: req.headers
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});
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logger.debug(`AI gateway ${capability} request for host: ${host}`);
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const target = await resolveTarget(host);
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if (!target) {
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return res.status(HttpCode.NOT_FOUND).json({
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error: {
|
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message: "No inference resource found for this host"
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}
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});
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return res
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.status(HttpCode.NOT_FOUND)
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.json(
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buildAiCapabilityErrorBody(
|
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capability,
|
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"not_found",
|
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"No inference resource found for this host",
|
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HttpCode.NOT_FOUND
|
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)
|
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);
|
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}
|
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|
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const {
|
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@@ -777,20 +794,29 @@ export async function handleAiGatewayProxy(
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resourceId != null &&
|
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!isAiGatewayTrustHeaderValid(req.headers as Record<string, string>)
|
||||
) {
|
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return res.status(HttpCode.UNAUTHORIZED).json({
|
||||
error: {
|
||||
message:
|
||||
"Request must be authenticated via the inference resource"
|
||||
}
|
||||
});
|
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return res
|
||||
.status(HttpCode.UNAUTHORIZED)
|
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.json(
|
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buildAiCapabilityErrorBody(
|
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capability,
|
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"authentication",
|
||||
"Request must be authenticated via the inference resource",
|
||||
HttpCode.UNAUTHORIZED
|
||||
)
|
||||
);
|
||||
}
|
||||
|
||||
if (attachments.length === 0) {
|
||||
return res.status(HttpCode.FORBIDDEN).json({
|
||||
error: {
|
||||
message: "No AI providers configured for this resource"
|
||||
}
|
||||
});
|
||||
return res
|
||||
.status(HttpCode.FORBIDDEN)
|
||||
.json(
|
||||
buildAiCapabilityErrorBody(
|
||||
capability,
|
||||
"permission",
|
||||
"No AI providers configured for this resource",
|
||||
HttpCode.FORBIDDEN
|
||||
)
|
||||
);
|
||||
}
|
||||
|
||||
const capableAttachments = attachments.filter((a) =>
|
||||
@@ -798,11 +824,16 @@ export async function handleAiGatewayProxy(
|
||||
);
|
||||
|
||||
if (capableAttachments.length === 0) {
|
||||
return res.status(HttpCode.FORBIDDEN).json({
|
||||
error: {
|
||||
message: `No AI provider on this resource supports ${capability}`
|
||||
}
|
||||
});
|
||||
return res
|
||||
.status(HttpCode.FORBIDDEN)
|
||||
.json(
|
||||
buildAiCapabilityErrorBody(
|
||||
capability,
|
||||
"permission",
|
||||
`No AI provider on this resource supports ${capability}`,
|
||||
HttpCode.FORBIDDEN
|
||||
)
|
||||
);
|
||||
}
|
||||
|
||||
const requestedModel = def.extractModel(req);
|
||||
@@ -824,9 +855,16 @@ export async function handleAiGatewayProxy(
|
||||
}
|
||||
|
||||
if (!selection.ok) {
|
||||
return res.status(selection.status).json({
|
||||
error: { message: selection.message }
|
||||
});
|
||||
return res
|
||||
.status(selection.status)
|
||||
.json(
|
||||
buildAiCapabilityErrorBody(
|
||||
capability,
|
||||
selection.kind,
|
||||
selection.message,
|
||||
selection.status
|
||||
)
|
||||
);
|
||||
}
|
||||
|
||||
const { provider } = selection;
|
||||
@@ -855,11 +893,16 @@ export async function handleAiGatewayProxy(
|
||||
siteResourceId,
|
||||
userId: requestUser?.userId ?? null
|
||||
});
|
||||
return res.status(HttpCode.TOO_MANY_REQUESTS).json({
|
||||
error: {
|
||||
message: "AI usage budget exceeded for this request"
|
||||
}
|
||||
});
|
||||
return res
|
||||
.status(HttpCode.TOO_MANY_REQUESTS)
|
||||
.json(
|
||||
buildAiCapabilityErrorBody(
|
||||
capability,
|
||||
"rate_limit",
|
||||
"AI usage budget exceeded for this request",
|
||||
HttpCode.TOO_MANY_REQUESTS
|
||||
)
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -885,21 +928,31 @@ export async function handleAiGatewayProxy(
|
||||
const authType = provider.authType as AiProviderAuthType;
|
||||
|
||||
if (!upstreamUrl) {
|
||||
return res.status(HttpCode.INTERNAL_SERVER_ERROR).json({
|
||||
error: {
|
||||
message: "AI provider has no upstream URL configured"
|
||||
}
|
||||
});
|
||||
return res
|
||||
.status(HttpCode.INTERNAL_SERVER_ERROR)
|
||||
.json(
|
||||
buildAiCapabilityErrorBody(
|
||||
capability,
|
||||
"internal",
|
||||
"AI provider has no upstream URL configured",
|
||||
HttpCode.INTERNAL_SERVER_ERROR
|
||||
)
|
||||
);
|
||||
}
|
||||
|
||||
let apiKey: string | null = null;
|
||||
if (authTypeRequiresApiKey(authType)) {
|
||||
if (!provider.apiKey) {
|
||||
return res.status(HttpCode.INTERNAL_SERVER_ERROR).json({
|
||||
error: {
|
||||
message: "AI provider has no API key configured"
|
||||
}
|
||||
});
|
||||
return res
|
||||
.status(HttpCode.INTERNAL_SERVER_ERROR)
|
||||
.json(
|
||||
buildAiCapabilityErrorBody(
|
||||
capability,
|
||||
"internal",
|
||||
"AI provider has no API key configured",
|
||||
HttpCode.INTERNAL_SERVER_ERROR
|
||||
)
|
||||
);
|
||||
}
|
||||
const secret = config.getRawConfig().server.secret!;
|
||||
apiKey = decrypt(provider.apiKey, secret);
|
||||
@@ -1034,8 +1087,15 @@ export async function handleAiGatewayProxy(
|
||||
return;
|
||||
} catch (error) {
|
||||
logger.error(error);
|
||||
return res.status(HttpCode.INTERNAL_SERVER_ERROR).json({
|
||||
error: { message: "Failed to proxy inference request" }
|
||||
});
|
||||
return res
|
||||
.status(HttpCode.INTERNAL_SERVER_ERROR)
|
||||
.json(
|
||||
buildAiCapabilityErrorBody(
|
||||
capability,
|
||||
"internal",
|
||||
"Failed to proxy inference request",
|
||||
HttpCode.INTERNAL_SERVER_ERROR
|
||||
)
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -21,6 +21,7 @@ import {
|
||||
AI_CAPABILITY_DEFS,
|
||||
type AiCapability
|
||||
} from "@server/lib/aiCapabilities";
|
||||
import { buildAiCapabilityErrorBody } from "@server/lib/aiGatewayAuthError";
|
||||
import {
|
||||
needsStreamUsageInjection,
|
||||
withStreamUsageOption
|
||||
@@ -184,11 +185,14 @@ export async function proxyAiGatewayToSiteTarget(
|
||||
): Promise<void> {
|
||||
const providerTargets = await getProviderTargets(provider.providerId);
|
||||
if (providerTargets.length === 0) {
|
||||
res.status(HttpCode.INTERNAL_SERVER_ERROR).json({
|
||||
error: {
|
||||
message: "AI provider has no reachable site targets configured"
|
||||
}
|
||||
});
|
||||
res.status(HttpCode.INTERNAL_SERVER_ERROR).json(
|
||||
buildAiCapabilityErrorBody(
|
||||
capability,
|
||||
"internal",
|
||||
"AI provider has no reachable site targets configured",
|
||||
HttpCode.INTERNAL_SERVER_ERROR
|
||||
)
|
||||
);
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -207,11 +211,14 @@ export async function proxyAiGatewayToSiteTarget(
|
||||
let apiKey: string | null = null;
|
||||
if (authTypeRequiresApiKey(authType)) {
|
||||
if (!provider.apiKey) {
|
||||
res.status(HttpCode.INTERNAL_SERVER_ERROR).json({
|
||||
error: {
|
||||
message: "AI provider has no API key configured"
|
||||
}
|
||||
});
|
||||
res.status(HttpCode.INTERNAL_SERVER_ERROR).json(
|
||||
buildAiCapabilityErrorBody(
|
||||
capability,
|
||||
"internal",
|
||||
"AI provider has no API key configured",
|
||||
HttpCode.INTERNAL_SERVER_ERROR
|
||||
)
|
||||
);
|
||||
return;
|
||||
}
|
||||
const secret = config.getRawConfig().server.secret!;
|
||||
@@ -286,9 +293,14 @@ export async function proxyAiGatewayToSiteTarget(
|
||||
? (fetchError as Error & { cause?: unknown }).cause
|
||||
: undefined
|
||||
});
|
||||
res.status(HttpCode.BAD_GATEWAY).json({
|
||||
error: { message: "Failed to reach AI provider target" }
|
||||
});
|
||||
res.status(HttpCode.BAD_GATEWAY).json(
|
||||
buildAiCapabilityErrorBody(
|
||||
capability,
|
||||
"internal",
|
||||
"Failed to reach AI provider target",
|
||||
HttpCode.BAD_GATEWAY
|
||||
)
|
||||
);
|
||||
return;
|
||||
}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user