diff --git a/lib/ai/providers/openai-image.ts b/lib/ai/providers/openai-image.ts
index fb427bc3e..23b5af919 100644
--- a/lib/ai/providers/openai-image.ts
+++ b/lib/ai/providers/openai-image.ts
@@ -36,6 +36,7 @@ const COMFLY_GPT_IMAGE_MAX_EDGE = 3840;
 const COMFLY_GPT_IMAGE_MAX_TOTAL_PIXELS = 8_294_400;
 const BLTCY_HOST_REGEX = /(^|\.)bltcy\.ai$/i;
 const COMFLY_HOST_REGEX = /(^|\.)ai\.comfly\.org$/i;
+const AGNES_HOST_REGEX = /(^|\.)agnes-ai\.com$/i;
 const SUPPORTED_ASPECT_RATIOS = [
   "1:1",
   "1:4",
@@ -87,6 +88,20 @@ function isComflyBaseURL(baseURL: string) {
   }
 }
 
+function isAgnesBaseURL(baseURL: string) {
+  try {
+    const parsed = new URL(normalizeBaseURL(baseURL));
+    return AGNES_HOST_REGEX.test(parsed.hostname);
+  } catch {
+    return false;
+  }
+}
+
+function isAgnesImageModel(baseURL: string, modelId?: string) {
+  const normalizedModelId = String(modelId || "").trim().toLowerCase();
+  return isAgnesBaseURL(baseURL) && normalizedModelId.startsWith("agnes-image-");
+}
+
 function normalizeImageSizeLabel(imageSize?: string): "1K" | "2K" | "4K" {
   const normalized = String(imageSize || "").trim().toUpperCase();
   if (normalized === "1K" || normalized === "2K" || normalized === "4K") return normalized;
@@ -607,6 +622,32 @@ async function requestOpenAIImageGeneration(params: {
   const timeoutId = setTimeout(() => controller.abort(), timeoutMs);
 
   try {
+    if (isAgnesImageModel(baseURL, model)) {
+      const endpoint = joinEndpoint(baseURL, "/images/generations");
+      const response = await fetch(endpoint, {
+        method: "POST",
+        headers: {
+          Authorization: `Bearer ${apiKey}`,
+          "Content-Type": "application/json",
+        },
+        body: JSON.stringify({
+          model: apiModel,
+          prompt,
+          ...(size ? { size } : {}),
+          extra_body: {
+            ...(imageUrls.length > 0 ? { image: imageUrls } : {}),
+            response_format: "url",
+          },
+        }),
+        signal: controller.signal,
+      });
+      const payload = await parseJsonResponse(response);
+      if (!response.ok) {
+        throw new Error(`${extractErrorMessage(payload)} (HTTP ${response.status})`);
+      }
+      return payload;
+    }
+
     if (imageUrls.length > 0) {
       const endpoint = joinEndpoint(baseURL, "/images/edits");
       const formData = new FormData();