mirror of
https://github.com/fosrl/pangolin.git
synced 2026-08-08 13:38:33 +02:00
add streaming function to capability
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@@ -62,11 +62,6 @@ import {
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type AiUsage
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} from "@server/lib/aiUsageExtraction";
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// Short-lived local caches so a burst of requests from the same IP/user
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// doesn't hit the database on every single request. None of this is
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// security-critical to cache aggressively (identity is re-derived from the
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// session cookie or from a client's exit-node-scoped subnet each time), so
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// a small TTL is just an efficiency win, not a trust boundary.
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const EXIT_NODE_RANGES_CACHE_KEY = "aiGateway:exitNodeRanges";
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const EXIT_NODE_RANGES_TTL_SEC = 6000;
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const CLIENT_BY_IP_TTL_SEC = 30;
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@@ -638,7 +633,8 @@ export async function handleAiGatewayProxy(
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req,
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res,
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provider,
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requestUser
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requestUser,
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capability
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);
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}
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@@ -724,10 +720,6 @@ export async function handleAiGatewayProxy(
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skipTlsVerification: provider.skipTlsVerification
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});
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// Cancel the upstream request (and, transitively, anything it fans
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// out to) if the client goes away before we're done - otherwise a
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// client-cancelled streaming chat completion keeps running upstream
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// to completion, wasting the connection and any per-token billing.
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const abortController = new AbortController();
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const onClientClose = () => {
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if (!res.writableEnded) {
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@@ -764,13 +756,7 @@ export async function handleAiGatewayProxy(
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}
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const contentType = upstreamRes.headers.get("content-type") || "";
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const isStream =
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req.body?.stream === true ||
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contentType.includes("text/event-stream") ||
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req.path.includes("streamGenerateContent") ||
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req.path.includes("streamRawPredict") ||
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req.path.includes("converse-stream") ||
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req.path.includes("invoke-with-response-stream");
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const isStream = def.isStreaming(req, contentType);
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res.status(upstreamRes.status);
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res.setHeader("Content-Type", contentType || "application/json");
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@@ -10,6 +10,10 @@ import {
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applyAiProviderCustomHeaders,
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authTypeRequiresApiKey
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} from "@server/lib/aiProviderDefaults";
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import {
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AI_CAPABILITY_DEFS,
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type AiCapability
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} from "@server/lib/aiCapabilities";
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import logger from "@server/logger";
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import HttpCode from "@server/types/HttpCode";
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import {
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@@ -152,14 +156,14 @@ export async function proxyAiGatewayToSiteTarget(
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req: Request,
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res: Response,
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provider: AiProvider,
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requestUser: RequestUser | null
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requestUser: RequestUser | null,
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capability: AiCapability
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): Promise<void> {
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const providerTargets = await getProviderTargets(provider.providerId);
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if (providerTargets.length === 0) {
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res.status(HttpCode.INTERNAL_SERVER_ERROR).json({
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error: {
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message:
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"AI provider has no reachable site targets configured"
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message: "AI provider has no reachable site targets configured"
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}
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});
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return;
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@@ -256,13 +260,10 @@ export async function proxyAiGatewayToSiteTarget(
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}
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const contentType = upstreamRes.headers.get("content-type") || "";
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const isStream =
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req.body?.stream === true ||
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contentType.includes("text/event-stream") ||
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pathFromRequest(req).includes("streamGenerateContent") ||
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pathFromRequest(req).includes("streamRawPredict") ||
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pathFromRequest(req).includes("converse-stream") ||
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pathFromRequest(req).includes("invoke-with-response-stream");
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const isStream = AI_CAPABILITY_DEFS[capability].isStreaming(
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req,
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contentType
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);
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res.status(upstreamRes.status);
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res.setHeader("Content-Type", contentType || "application/json");
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