diff --git a/vibn-frontend/lib/ai/gemini-chat.ts b/vibn-frontend/lib/ai/gemini-chat.ts
index c3387cf7..0c0b46a3 100644
--- a/vibn-frontend/lib/ai/gemini-chat.ts
+++ b/vibn-frontend/lib/ai/gemini-chat.ts
@@ -128,12 +128,33 @@ export async function callGeminiChat(opts: {
     const fns = toGeminiFunctions(opts.tools ?? []);
     if (fns) config.tools = fns;
 
+    console.log("\n========================================================");
+    console.log("➡️ [GEMINI API REQUEST]");
+    console.log("========================================================");
+    console.log(
+      `System Prompt: ${typeof config.systemInstruction === "string" ? config.systemInstruction.slice(0, 1000) + "..." : "None"}`,
+    );
+    console.log(
+      "Contents Payload:",
+      JSON.stringify(toGeminiContents(opts.messages), null, 2),
+    );
+    console.log("========================================================\n");
+
     const response = await ai.models.generateContent({
       model: GEMINI_MODEL,
       contents: toGeminiContents(opts.messages),
       config,
     });
 
+    console.log("\n========================================================");
+    console.log("⬅️ [GEMINI API RESPONSE]");
+    console.log("========================================================");
+    console.log(
+      "Raw Candidates:",
+      JSON.stringify(response.candidates, null, 2),
+    );
+    console.log("========================================================\n");
+
     console.log(
       "[GeminiChat] Raw Response:",
       JSON.stringify(response, null, 2),
@@ -218,6 +239,18 @@ export async function* streamGeminiChat(opts: {
     const fns = toGeminiFunctions(opts.tools ?? []);
     if (fns) config.tools = fns;
 
+    console.log("\n========================================================");
+    console.log("➡️ [GEMINI STREAM REQUEST]");
+    console.log("========================================================");
+    console.log(
+      `System Prompt: ${typeof config.systemInstruction === "string" ? config.systemInstruction.slice(0, 1000) + "..." : "None"}`,
+    );
+    console.log(
+      "Contents Payload:",
+      JSON.stringify(toGeminiContents(opts.messages), null, 2),
+    );
+    console.log("========================================================\n");
+
     const streamResult = await ai.models.generateContentStream({
       model: GEMINI_MODEL,
       contents: toGeminiContents(opts.messages),