adjust

models.json

@@ -1612,6 +1612,18 @@
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+        "response": {
+          "status": 200,
+          "statusText": "",
+          "httpVersion": "HTTP/2",
+          "headers": [
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+              "value": "Fri, 07 Nov 2025 03:14:09 GMT"
+            },
+            {
+              "name": "content-type",
+              "value": "text/event-stream"
+            },
+            {
+              "name": "server",
+              "value": "cloudflare"
+            },
+            {
+              "name": "cf-ray",
+              "value": "99a9a86a2c4b274a-ADL"
+            },
+            {
+              "name": "cf-cache-status",
+              "value": "DYNAMIC"
+            },
+            {
+              "name": "access-control-allow-origin",
+              "value": "*"
+            },
+            {
+              "name": "cache-control",
+              "value": "no-cache"
+            },
+            {
+              "name": "strict-transport-security",
+              "value": "max-age=63072000; includeSubDomains; preload"
+            },
+            {
+              "name": "vary",
+              "value": "RSC, Next-Router-State-Tree, Next-Router-Prefetch, Next-Router-Segment-Prefetch, Accept-Encoding"
+            },
+            {
+              "name": "ratelimit",
+              "value": "limit=3000, remaining=2999, reset=60"
+            },
+            {
+              "name": "ratelimit-policy",
+              "value": "3000;w=300"
+            },
+            {
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+              "value": "nosniff"
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+            {
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+            },
+            {
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+              "value": "debbc023-7491-4853-822d-49de1080e379"
+            },
+            {
+              "name": "x-vercel-cache",
+              "value": "MISS"
+            },
+            {
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+              "value": "syd1:syd1:sfo1::sfo1::sfo1::pzql8-1762485239419-6b3752dce126"
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+            {
+              "name": "x-vercel-request-id",
+              "value": "debbc023-7491-4853-822d-49de1080e379"
+            },
+            {
+              "name": "alt-svc",
+              "value": "h3=\":443\"; ma=86400"
+            },
+            {
+              "name": "X-Firefox-Spdy",
+              "value": "h2"
+            }
+          ],
+          "cookies": [],
+          "content": {
+            "mimeType": "text/event-stream",
+            "size": 243,
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+          "redirectURL": "",
+          "headersSize": 825,
+          "bodySize": 1068
+        },
+        "cache": {},
+        "timings": {
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+          "dns": 0,
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+          "ssl": 0,
+          "send": 0,
+          "wait": 10412,
+          "receive": 0
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+        "time": 10413,
+        "_securityState": "secure",
+        "serverIPAddress": "104.18.20.173",
+        "connection": "443",
+        "pageref": "page_2"
+      }
+    ]
+  }
+}

sample/new.har

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+    "version": "1.2",
+    "creator": {
+      "name": "Zen",
+      "version": "1.17.5b"
+    },
+    "browser": {
+      "name": "Zen",
+      "version": "1.17.5b"
+    },
+    "pages": [
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+        "pageTimings": {
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+          "onLoad": 11096
+        },
+        "startedDateTime": "2025-11-07T13:42:36.281+10:30",
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+      }
+    ],
+    "entries": [
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+        "request": {
+          "bodySize": 2068,
+          "method": "POST",
+          "url": "https://lmarena.ai/nextjs-api/stream/create-evaluation",
+          "httpVersion": "HTTP/2",
+          "headers": [
+            {
+              "name": "Host",
+              "value": "lmarena.ai"
+            },
+            {
+              "name": "User-Agent",
+              "value": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:144.0) Gecko/20100101 Firefox/144.0"
+            },
+            {
+              "name": "Accept",
+              "value": "*/*"
+            },
+            {
+              "name": "Accept-Language",
+              "value": "en-AU,en-GB;q=0.7,en;q=0.3"
+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Referer",
+              "value": "https://lmarena.ai/c/019a5c4d-0173-726a-9757-94a8f22f76d7"
+            },
+            {
+              "name": "Content-Type",
+              "value": "text/plain;charset=UTF-8"
+            },
+            {
+              "name": "Content-Length",
+              "value": "2068"
+            },
+            {
+              "name": "Origin",
+              "value": "https://lmarena.ai"
+            },
+            {
+              "name": "DNT",
+              "value": "1"
+            },
+            {
+              "name": "Sec-GPC",
+              "value": "1"
+            },
+            {
+              "name": "Connection",
+              "value": "keep-alive"
+            },
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+            },
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+              "value": "text/event-stream"
+            },
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+              "value": "cloudflare"
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+            },
+            {
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+            },
+            {
+              "name": "access-control-allow-origin",
+              "value": "*"
+            },
+            {
+              "name": "cache-control",
+              "value": "no-cache"
+            },
+            {
+              "name": "strict-transport-security",
+              "value": "max-age=63072000; includeSubDomains; preload"
+            },
+            {
+              "name": "vary",
+              "value": "RSC, Next-Router-State-Tree, Next-Router-Prefetch, Next-Router-Segment-Prefetch, Accept-Encoding"
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+              "value": "h3=\":443\"; ma=86400"
+            },
+            {
+              "name": "X-Firefox-Spdy",
+              "value": "h2"
+            }
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+          "cookies": [],
+          "content": {
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+}

src/main.py

@@ -1492,38 +1492,15 @@ async def api_chat_completions(request: Request, api_key: dict = Depends(rate_li
                 "modelAId": model_id,
                 "userMessageId": user_msg_id,
                 "modelAMessageId": model_msg_id,
-                "messages": [
-                    {
-                        "id": user_msg_id,
-                        "role": "user",
-                        "content": prompt,
-                        "experimental_attachments": experimental_attachments,
-                        "parentMessageIds": [],
-                        "participantPosition": "a",
-                        "modelId": None,
-                        "evaluationSessionId": session_id,
-                        "status": "pending",
-                        "failureReason": None
-                    },
-                    {
-                        "id": model_msg_id,
-                        "role": "assistant",
-                        "content": "",
-                        "reasoning": "",
-                        "experimental_attachments": [],
-                        "parentMessageIds": [user_msg_id],
-                        "participantPosition": "a",
-                        "modelId": model_id,
-                        "evaluationSessionId": session_id,
-                        "status": "pending",
-                        "failureReason": None
-                    }
-                ],
+                "userMessage": {
+                    "content": prompt,
+                    "experimental_attachments": experimental_attachments
+                },
                 "modality": "chat"
             }
             url = "https://lmarena.ai/nextjs-api/stream/create-evaluation"
             debug_print(f"📤 Target URL: {url}")
-            debug_print(f"📦 Payload structure: {len(payload['messages'])} messages")
+            debug_print(f"📦 Payload structure: Simple userMessage format")
             debug_print(f"🔍 Full payload: {json.dumps(payload, indent=2)}")
         else:
             debug_print("🔄 Using EXISTING conversation session")
@@ -1533,69 +1510,22 @@ async def api_chat_completions(request: Request, api_key: dict = Depends(rate_li
             model_msg_id = str(uuid7())
             debug_print(f"🤖 Generated followup model_msg_id: {model_msg_id}")
             
-            # Build full conversation history using stored messages with their original IDs
-            conversation_messages = []
-            stored_messages = session.get("messages", [])
-            
-            for stored_msg in stored_messages:
-                conversation_messages.append({
-                    "id": stored_msg["id"],
-                    "role": stored_msg["role"],
-                    "content": stored_msg["content"],
-                    "experimental_attachments": [],
-                    "parentMessageIds": [conversation_messages[-1]["id"]] if conversation_messages else [],
-                    "participantPosition": "a",
-                    "modelId": model_id if stored_msg["role"] == "assistant" else None,
-                    "evaluationSessionId": session["conversation_id"],
-                    "status": "success" if stored_msg["role"] == "assistant" else "pending",
-                    "failureReason": None
-                })
-                if stored_msg["role"] == "assistant":
-                    conversation_messages[-1]["reasoning"] = ""
-            
-            # Add new user message
-            last_msg_id = conversation_messages[-1]["id"] if conversation_messages else session.get("messages", [])[-1]["id"]
-            conversation_messages.append({
-                "id": user_msg_id,
-                "role": "user",
-                "content": prompt,
-                "experimental_attachments": experimental_attachments,
-                "parentMessageIds": [last_msg_id],
-                "participantPosition": "a",
-                "modelId": None,
-                "evaluationSessionId": session["conversation_id"],
-                "status": "pending",
-                "failureReason": None
-            })
-            
-            # Add pending assistant message
-            conversation_messages.append({
-                "id": model_msg_id,
-                "role": "assistant",
-                "content": "",
-                "reasoning": "",
-                "experimental_attachments": [],
-                "parentMessageIds": [user_msg_id],
-                "participantPosition": "a",
-                "modelId": model_id,
-                "evaluationSessionId": session["conversation_id"],
-                "status": "pending",
-                "failureReason": None
-            })
-            
             payload = {
                 "id": session["conversation_id"],
                 "mode": "direct",
                 "modelAId": model_id,
                 "userMessageId": user_msg_id,
                 "modelAMessageId": model_msg_id,
-                "messages": conversation_messages,
+                "userMessage": {
+                    "content": prompt,
+                    "experimental_attachments": experimental_attachments
+                },
                 "modality": "chat"
             }
             url = f"https://lmarena.ai/nextjs-api/stream/post-to-evaluation/{session['conversation_id']}"
             debug_print(f"📤 Target URL: {url}")
-            debug_print(f"📦 Payload structure: {len(payload['messages'])} messages")
-            debug_print(f"🔍 Full payload: {json.dumps(payload, indent=2)}")
+            debug_print(f"📦 Payload structure: Simple userMessage format")
+            debug_print(f" Full payload: {json.dumps(payload, indent=2)}")
 
         debug_print(f"\n🚀 Making API request to LMArena...")
         debug_print(f"⏱️  Timeout set to: 120 seconds")