diff --git a/vibn-agent-runner/dist/llm/gemini-chat.js b/vibn-agent-runner/dist/llm/gemini-chat.js
index 93a35257..c868ed9c 100644
--- a/vibn-agent-runner/dist/llm/gemini-chat.js
+++ b/vibn-agent-runner/dist/llm/gemini-chat.js
@@ -78,11 +78,22 @@ 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: ${config.systemInstruction ? 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");
         let text = "";
         let thoughts = "";
         const toolCalls = [];
@@ -131,6 +142,12 @@ 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: ${config.systemInstruction ? 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),