working

.cache_ggshield

@@ -0,0 +1 @@
+{"last_found_secrets": [{"match": "31f1dddcac91a689033afe8bc59f773bd13779cbe7f5c64ce9d645a5a7252573", "name": "Generic High Entropy Secret - c:\\Users\\Edward\\Desktop\\Projects\\lmarenabridge\\chat_interactive.py"}]}

PLAN.MD

@@ -0,0 +1,26 @@
+Make a python based application that has two endpoints:
+ - /api - The OpenAI compatible API endpoint
+ - /dashboard - The dashboard that allows the user to create new API keys with a name and custom rate limits. A usage panel with logs on the models most used.
+
+To implement dashboard, you must do the following:
+On startup of the python server, you must use camoufox to open "lmarena.ai" and you must save the cloudflare cf_clearance cookie. You must then run the regex:
+r'\{\\"initialModels\\":(\[.*?\]),\\"initialModelAId'
+on the body of the page once it loads.
+You must then Get the matched JSON string and unescape it. Save this into the list of models. An example of what this will look like is in samples/models.txt
+match.group(1).encode().decode('unicode_escape')
+The implementation requires explicit rendering of the Turnstile widget off-screen to generate an invisible token. First, define a function, for instance, createHiddenTurnstileWidget, to execute once the Cloudflare API script is fully loaded (e.g., via an onload callback on the script tag). Inside this function, dynamically create a div element with a unique ID and inject it into the document.body. Crucially, apply CSS styles to this container to make it invisible and non-interactive, specifically by setting position: absolute, large negative top/left values (e.g., -9999px), and pointer-events: none. Finally, programmatically invoke window.turnstile.render(containerId, { sitekey: '0x4AAAAAAA65vWDmG-O_lPtT', callback: 'tokenCaptureFunction' }) to initiate the challenge. The specified tokenCaptureFunction must then store the returned token into a global variable for later use in API requests.
+You can then close the browser once you have this data.
+Now, (still in initialization), you must generate an auth token. This must be saved into a file so it can be used later on.
+You must then post to https://lmarena.ai/nextjs-api/sign-up. Keep in mind that the cloudflare clearance cookie should be used for everything. You must send the body as:
+{"turnstile_token":"TOKEN FROM THE CLOUDFLARE WIDGET FROM EARLIER"}
+Sample response:
+{"access_token":"eyJhbGciOiJFUzI1NiIsImtpZCI6IjA5YTI3OTYzLTczNmYtNGM0Zi05NGIyLWJmYzRiMWI2MWY4OCIsInR5cCI6IkpXVCJ9.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.Iovk49cPp8-mlHnFBR773oupXbm3WFWQxirCFI1DdObCL8OZiO7EVohJ7oBukweG1edCVPuoJiG3-AUp-pdYbA","token_type":"bearer","expires_in":3600,"expires_at":1762041526,"refresh_token":"ommeleevyoik","user":{"id":"e1d5bccb-eaa6-4dc7-ac77-0e60ceb76e18","app_metadata":{},"user_metadata":{"id":"9bc84c01-7a60-496b-9130-227aab812129"},"aud":"authenticated","email":"","phone":"","created_at":"2025-11-01T22:58:46.645813Z","last_sign_in_at":"2025-11-01T22:58:46.647128812Z","role":"authenticated","updated_at":"2025-11-01T22:58:46.648477Z","identities":[],"is_anonymous":true}}
+The cookie should be saved like:
+arena-auth-prod-v1:"base64-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"
+
+You must save this auth key into a config file. This should be modifiable from the password protected dashboard.
+
+Now to create a chat you must send a request like the one in samples/eval-create.har This should only be for the first message. You should then process the response which is again in the har file. You need to generate UUIDs for some of these values, and the models come from the models you extracted earlier.
+To send further messages, you need to send a new request like the one in samples/followup.har
+
+For now this should be all.

chat_interactive.py

@@ -0,0 +1,163 @@
+"""
+Interactive chat script using OpenAI Python library with LMArena Bridge
+Allows you to have a conversation with any model available through the bridge
+"""
+
+from openai import OpenAI
+import sys
+
+# Configuration
+BASE_URL = "http://localhost:8000/api/v1"
+API_KEY = "sk-lmab-4d4c13f6-7846-4f94-a261-f59911838196"  # Replace with your API key
+
+def list_available_models(client):
+    """List all available models"""
+    try:
+        models = client.models.list()
+        return [model.id for model in models.data]
+    except Exception as e:
+        print(f"Error fetching models: {e}")
+        return []
+
+def chat_session(client, model_name):
+    """Run an interactive chat session"""
+    print(f"\n{'='*60}")
+    print(f"🤖 Chat Session with {model_name}")
+    print(f"{'='*60}")
+    print("Type your messages below. Commands:")
+    print("  - 'exit' or 'quit' to end the session")
+    print("  - 'clear' to start a new conversation")
+    print("  - 'models' to switch models")
+    print(f"{'='*60}\n")
+    
+    conversation_history = []
+    
+    while True:
+        # Get user input
+        try:
+            user_input = input("You: ").strip()
+        except (EOFError, KeyboardInterrupt):
+            print("\n\n👋 Goodbye!")
+            break
+        
+        # Handle commands
+        if user_input.lower() in ['exit', 'quit']:
+            print("\n👋 Goodbye!")
+            break
+        
+        if user_input.lower() == 'clear':
+            conversation_history = []
+            print("\n🔄 Conversation cleared!\n")
+            continue
+        
+        if user_input.lower() == 'models':
+            return 'switch_model'
+        
+        if not user_input:
+            continue
+        
+        # Add user message to history
+        conversation_history.append({
+            "role": "user",
+            "content": user_input
+        })
+        
+        # Get response from API
+        try:
+            print("Assistant: ", end="", flush=True)
+            
+            response = client.chat.completions.create(
+                model=model_name,
+                messages=conversation_history
+            )
+            
+            assistant_message = response.choices[0].message.content
+            print(assistant_message)
+            
+            # Add assistant response to history
+            conversation_history.append({
+                "role": "assistant",
+                "content": assistant_message
+            })
+            
+            print()  # Empty line for readability
+            
+        except Exception as e:
+            print(f"\n❌ Error: {e}\n")
+            # Remove the failed user message from history
+            conversation_history.pop()
+
+def select_model(client, models):
+    """Let user select a model"""
+    print("\n📋 Available Models:")
+    print("-" * 60)
+    
+    for i, model in enumerate(models, 1):
+        print(f"{i}. {model}")
+    
+    print("-" * 60)
+    
+    while True:
+        try:
+            choice = input("\nSelect a model number (or 'q' to quit): ").strip()
+            
+            if choice.lower() == 'q':
+                return None
+            
+            choice_num = int(choice)
+            if 1 <= choice_num <= len(models):
+                return models[choice_num - 1]
+            else:
+                print(f"Please enter a number between 1 and {len(models)}")
+        except ValueError:
+            print("Please enter a valid number or 'q' to quit")
+        except (EOFError, KeyboardInterrupt):
+            print("\n")
+            return None
+
+def main():
+    """Main function"""
+    print("=" * 60)
+    print("🚀 LMArena Bridge - Interactive Chat")
+    print("=" * 60)
+    
+    # Initialize OpenAI client
+    try:
+        client = OpenAI(
+            api_key=API_KEY,
+            base_url=BASE_URL
+        )
+        print("✅ Connected to LMArena Bridge")
+    except Exception as e:
+        print(f"❌ Failed to initialize client: {e}")
+        return
+    
+    # Get available models
+    print("📡 Fetching available models...")
+    models = list_available_models(client)
+    
+    if not models:
+        print("❌ No models available. Please check your API key and server status.")
+        return
+    
+    print(f"✅ Found {len(models)} models")
+    
+    # Main loop
+    while True:
+        selected_model = select_model(client, models)
+        
+        if selected_model is None:
+            print("\n👋 Goodbye!")
+            break
+        
+        result = chat_session(client, selected_model)
+        
+        if result != 'switch_model':
+            break
+
+if __name__ == "__main__":
+    try:
+        main()
+    except KeyboardInterrupt:
+        print("\n\n👋 Goodbye!")
+        sys.exit(0)

models.json

@@ -0,0 +1,2488 @@
+[
+  {
+    "id": "0199f060-b306-7e1f-aeae-0ebb4e3f1122",
+    "organization": "google",
+    "provider": "googleVertex",
+    "publicName": "gemini-2.5-pro",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true,
+        "image": true
+      },
+      "outputCapabilities": {
+        "text": true,
+        "web": true
+      }
+    },
+    "rank": 1
+  },
+  {
+    "id": "51a47cc6-5ef9-4ac7-a59c-4009230d7564",
+    "publicName": "gemini-2.5-pro-grounding-exp",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
+    "rank": 1
+  },
+  {
+    "id": "f1a2eb6f-fc30-4806-9e00-1efd0d73cbc4",
+    "organization": "anthropic",
+    "provider": "googleVertexAnthropic",
+    "publicName": "claude-opus-4-1-20250805-thinking-16k",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
+    "rank": 1
+  },
+  {
+    "id": "b0ea1407-2f92-4515-b9cc-b22a6d6c14f2",
+    "organization": "anthropic",
+    "provider": "googleVertexAnthropic",
+    "publicName": "claude-sonnet-4-5-20250929-thinking-32k",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true,
+        "web": true
+      }
+    },
+    "rank": 1
+  },
+  {
+    "id": "983bc566-b783-4d28-b24c-3c8b08eb1086",
+    "organization": "openai",
+    "provider": "openai",
+    "publicName": "gpt-5-high",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true,
+        "image": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
+    "rank": 2
+  },
+  {
+    "id": "cb0f1e24-e8e9-4745-aabc-b926ffde7475",
+    "organization": "openai",
+    "provider": "openai",
+    "publicName": "o3-2025-04-16",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true,
+        "image": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
+    "rank": 2
+  },
+  {
+    "id": "96ae95fd-b70d-49c3-91cc-b58c7da1090b",
+    "organization": "anthropic",
+    "provider": "googleVertexAnthropic",
+    "publicName": "claude-opus-4-1-20250805",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true,
+        "web": true
+      }
+    },
+    "rank": 2
+  },
+  {
+    "id": "0199c1e0-3720-742d-91c8-787788b0a19b",
+    "organization": "openai",
+    "provider": "openai",
+    "publicName": "chatgpt-4o-latest-20250326",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true,
+        "image": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
+    "rank": 2
+  },
+  {
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+    "organization": "anthropic",
+    "provider": "googleVertexAnthropic",
+    "publicName": "claude-sonnet-4-5-20250929",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true,
+        "web": true
+      }
+    },
+    "rank": 2
+  },
+  {
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+    "organization": "alibaba",
+    "provider": "alibaba",
+    "publicName": "qwen3-max-preview",
+    "capabilities": {
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+        "text": true
+      },
+      "outputCapabilities": {
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+      }
+    },
+    "rank": 3
+  },
+  {
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+    "organization": "openai",
+    "provider": "openai",
+    "publicName": "gpt-5-chat",
+    "capabilities": {
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+        "image": true
+      },
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+      }
+    },
+    "rank": 10
+  },
+  {
+    "id": "98ad8b8b-12cd-46cd-98de-99edde7e03eb",
+    "organization": "alibaba",
+    "provider": "alibaba",
+    "publicName": "qwen3-max-2025-09-23",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
+    "rank": 10
+  },
+  {
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+    "organization": "zai",
+    "provider": "zai",
+    "publicName": "glm-4.6",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true,
+        "web": true
+      }
+    },
+    "rank": 10
+  },
+  {
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+    "organization": "anthropic",
+    "provider": "googleVertexAnthropic",
+    "publicName": "claude-opus-4-20250514-thinking-16k",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
+    "rank": 11
+  },
+  {
+    "id": "ee7cb86e-8601-4585-b1d0-7c7380f8f6f4",
+    "organization": "alibaba",
+    "provider": "alibaba",
+    "publicName": "qwen3-235b-a22b-instruct-2507",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
+    "rank": 11
+  },
+  {
+    "id": "71023e9b-7361-498a-b6db-f2d2a83883fd",
+    "organization": "xai",
+    "provider": "xaiResearch",
+    "publicName": "grok-4-fast",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
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+      }
+    },
+    "rank": 11
+  },
+  {
+    "id": "716aa8ca-d729-427f-93ab-9579e4a13e98",
+    "organization": "alibaba",
+    "provider": "alibaba",
+    "publicName": "qwen3-vl-235b-a22b-instruct",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true,
+        "image": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
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+  },
+  {
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+    "organization": "deepseek",
+    "provider": "deepseek",
+    "publicName": "deepseek-v3.2-exp-thinking",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
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+      }
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+    "rank": 11
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+  {
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+    "organization": "xai",
+    "provider": "openrouter",
+    "publicName": "grok-4-0709",
+    "capabilities": {
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+        "text": true,
+        "image": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
+    "rank": 12
+  },
+  {
+    "id": "84efc8b9-a441-4614-a4ff-6398f8bd34eb",
+    "organization": "deepseek",
+    "provider": "deepseek",
+    "publicName": "deepseek-v3.2-exp",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true,
+        "web": true
+      }
+    },
+    "rank": 12
+  },
+  {
+    "id": "ee116d12-64d6-48a8-88e5-b2d06325cdd2",
+    "organization": "anthropic",
+    "provider": "googleVertexAnthropic",
+    "publicName": "claude-opus-4-20250514",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
+    "rank": 12
+  },
+  {
+    "id": "14e9311c-94d2-40c2-8c54-273947e208b0",
+    "organization": "openai",
+    "provider": "openai",
+    "publicName": "gpt-4.1-2025-04-14",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true,
+        "image": true
+      },
+      "outputCapabilities": {
+        "text": true
+      }
+    },
+    "rank": 13
+  },
+  {
+    "id": "d079ef40-3b20-4c58-ab5e-243738dbada5",
+    "organization": "zai",
+    "provider": "zai",
+    "publicName": "glm-4.5",
+    "capabilities": {
+      "inputCapabilities": {
+        "text": true
+      },
+      "outputCapabilities": {
+        "text": true
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output.txt

@@ -0,0 +1,76 @@
+Of course. The JavaScript UserScript (`oldscript.js`) is significantly more sophisticated and resilient in its methods for acquiring tokens compared to your Python script (`main.py`). The differences explain why `main.py` is more likely to fail.
+
+The core reason is that the **JavaScript runs *inside* the LMArena page's context**, allowing it to piggyback on the website's own functions and the browser's natural behavior. The Python script controls a browser from the outside, which is less seamless and more detectable.
+
+***
+
+### Key Differences in Token Acquisition
+
+Here is a breakdown of the critical differences that impact token retrieval.
+
+#### 1. Turnstile Token Capture Strategy (Stealth vs. Active Creation)
+
+This is the most significant difference. How each script gets the Cloudflare Turnstile token is fundamentally different.
+
+* **`oldscript.js` (Stealthy Hooking):**
+    The UserScript employs a very clever and stealthy method. It intercepts the website's own attempt to load and use the Turnstile service.
+    1.  It temporarily overrides `document.createElement`.
+    2.  When the website tries to create a `<script>` tag for Turnstile, the UserScript intercepts it.
+    3.  It then **hooks the `window.turnstile.render` function**.
+    4.  When the website legitimately calls `turnstile.render` to show a captcha, the UserScript's hook fires, capturing the resulting token without needing to create its own separate, potentially suspicious, widget. This is far less likely to be detected as bot activity.
+
+* **`main.py` (Active Injection):**
+    Your Python script takes a more direct, "brute-force" approach.
+    1.  It waits for the page to load.
+    2.  It injects a brand new script that **creates its own hidden Turnstile widget**.
+    3.  It waits for the callback from this *new* widget to get a token.
+
+    **Why this might fail:** Anti-bot systems can be sensitive to creating multiple or hidden Turnstile widgets. The site might expect the token to originate from its own, visible widget, and a token from a new, hidden one could be flagged as suspicious or invalid.
+
+---
+
+#### 2. Authentication Request Method (Native Browser `fetch` vs. External `httpx`)
+
+After getting the Turnstile token, the method used to request the final `arena-auth-prod-v1` cookie is also critical.
+
+* **`oldscript.js` (Native Browser `fetch`):**
+    The UserScript uses the browser's own `fetch` command to post the token to `/api/sign-up`. When it does this, the browser **automatically and perfectly attaches all necessary context**:
+    * The complete and correct set of cookies (including `cf_clearance`).
+    * The correct `User-Agent` string.
+    * Crucially, other browser-specific headers like `sec-ch-ua` (Client Hints) which are used for browser fingerprinting.
+    * The request originates from the correct domain, passing all security checks.
+
+* **`main.py` (External `httpx` Client):**
+    Your Python script gets the Turnstile token and then makes a *separate* HTTP request using the `httpx` library. Although you copy the `User-Agent` and `cf_clearance` cookie, this request is made from outside the browser's context. It is likely **missing subtle browser headers and fingerprinting data** that Cloudflare's anti-bot system looks for. An inconsistency between the browser that solved the Turnstile and the client making the API request is a major red flag.
+
+---
+
+#### 3. Error Handling and Recovery (Self-Healing vs. Hard Failure)
+
+The UserScript is built to survive Cloudflare challenges, while the Python script is not.
+
+* **`oldscript.js` (Self-Healing):**
+    It has robust functions (`handleCloudflareRefresh`, `handleRateLimitRefresh`) that can detect a Cloudflare challenge or a rate-limit error (HTTP 429). When this happens, it:
+    1.  **Saves the failed request** into the browser's `localStorage`.
+    2.  **Automatically reloads the page** (`window.location.reload()`).
+    3.  After the page reloads (and you presumably solve the new challenge), the script runs again, finds the saved request in `localStorage`, and automatically retries it.
+
+* **`main.py` (Hard Failure):**
+    Your script checks for a 429 status or a "Checking your browser" message. If it encounters one, it simply prints an error and raises an exception. The entire process halts. It has **no mechanism to recover** from a Cloudflare challenge.
+
+---
+
+#### 4. Human Emulation
+
+* **`oldscript.js`:** The script includes a `simulateHumanClick()` function that generates random mouse movements and clicks near the center of the page. This is a common technique to defeat simple bot detectors that require some form of user interaction before generating a valid token.
+* **`main.py`:** Your script performs no user emulation. It just navigates and executes scripts, which can be easily identified as non-human behavior.
+
+### Summary Table
+
+| Feature | `main.py` (Python) | `oldscript.js` (UserScript) | Why It Matters for Token Getting |
+| :--- | :--- | :--- | :--- |
+| **Environment** | External script controlling a browser. | Runs directly inside the target webpage. | The UserScript has perfect browser context, making its actions look legitimate. |
+| **Turnstile Token** | Creates a new, hidden widget. | Hooks the site's *own* widget creation. | Hooking is stealthier and less likely to be flagged by anti-bot systems. |
+| **Auth Request** | Uses `httpx`, manually adding headers. | Uses the browser's native `fetch`. | Native `fetch` sends a perfectly formed, authentic request with all fingerprinting headers. |
+| **Error Handling** | Fails and stops on Cloudflare challenge. | Saves request, reloads page, retries. | The UserScript can automatically recover from challenges, making it far more reliable. |
+| **Human Emulation** | None. | Simulates mouse clicks. | Can bypass simple bot-detection checks that require user interaction. |

requirements.txt

@@ -0,0 +1,5 @@
+fastapi
+uvicorn
+camoufox
+playwright
+httpx

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samples/camoufoxdocsample.txt

@@ -0,0 +1,318 @@
+
+Camoufox
+Docs
+
+    GitHub
+    Issues
+    Discussions
+    PyPi
+    Donate
+
+Powered by
+#
+Usage
+
+Camoufox is fully compatible with your existing Playwright code. You only have to change your browser initialization:
+Sync API
+Async API
+
+from camoufox.async_api import AsyncCamoufox
+
+async with AsyncCamoufox() as browser:
+    page = await browser.new_page()
+    await page.goto("https://example.com")
+
+#
+Parameters List
+
+All Playwright Firefox launch options are accepted, along with the following:
+#
+Device Rotation
+
+Camoufox will generate device information for you based on the following parameters.
+os
+
+Type: Optional[ListOrString]
+
+Operating system to use for the fingerprint generation. Can be "windows", "macos", "linux", or a list to randomly choose from. By default, Camoufox will randomly choose from a list of all three.
+
+# Use a specific OS
+with Camoufox(os="windows") as browser:
+    ...
+
+# Randomly choose from a list of OS
+with Camoufox(os=["windows", "macos", "linux"]) as browser:
+    ...
+
+fonts
+
+Type: Optional[List[str]]
+
+Fonts to load into Camoufox, in addition to the default fonts for the target os. Takes a list of font family names that are installed on the system.
+
+Fonts & font fingerprinting
+../../fingerprint/fonts/
+
+custom_fonts = ["Arial", "Helvetica", "Times New Roman"]
+with Camoufox(fonts=custom_fonts) as browser:
+    ...
+
+screen
+
+Type: Optional[Screen]
+
+Constrains the screen dimensions of the generated fingerprint. Takes a browserforge.fingerprints.Screen instance.
+
+While this sets the screen dimensions, it has very light impact on the size of the window. Sometimes the window will be larger, sometimes smaller.
+
+from browserforge.fingerprints import Screen
+
+constrains = Screen(max_width=1920, max_height=1080)
+with Camoufox(screen=constrains) as browser:
+...
+
+webgl_config
+
+Type: Optional[Tuple[str, str]]
+
+Use a specific WebGL vendor/renderer pair. Passed as a tuple of (vendor, renderer). The vendor & renderer combination must be supported for the target os or this will cause leaks.
+
+Check here for a list of Camoufox's supported vendor & renderer combinations.
+
+with Camoufox(
+    webgl_config=("Apple", "Apple M1, or similar"),
+    os="macos",
+) as browser:
+    ...
+
+config
+
+Type: Optional[Dict[str, Any]]
+
+If needed, individual Camoufox config properties can be overridden by passing them as a dictionary to the config parameter. This can be used to enable features that have not yet been implemented into the Python library.
+warning
+
+This is an advanced feature and should be used with caution. The Camoufox Python library is designed to populate these properties for you.
+
+Passing config
+../config/
+
+#
+Configuration
+
+Extra feature configuration and quality of life options.
+humanize
+
+Type: Optional[Union[bool, float]]
+
+Humanize the cursor movement. Takes either True, or the MAX duration in seconds of the cursor movement. The cursor typically takes up to 1.5 seconds to move across the window.
+
+Cursor movement info & demo
+../../fingerprint/cursor-movement/
+
+# Enable humanization with default settings
+with Camoufox(humanize=True) as browser:
+    ...
+
+# Set a custom max duration for cursor movement
+with Camoufox(humanize=2.0) as browser:
+    ...
+
+headless
+
+Type: Optional[Union[bool, Literal['virtual']]]
+
+Whether to run the browser in headless mode. Defaults to False. If you are running linux, passing 'virtual' will use Xvfb.
+
+Virtual Display
+../virtual-display/
+
+# Run in headless mode
+with Camoufox(headless=True) as browser:
+    ...
+
+# Run in headless mode on linux
+with Camoufox(headless="virtual") as browser:
+    ...
+
+addons
+
+Type: Optional[List[str]]
+
+List of Firefox addons to use. Must be paths to extracted addons.
+
+To load an .xpi file, rename it to a .zip file, extract it, and pass the extracted folder.
+
+addons = ["/path/to/addon1", "/path/to/addon2"]
+with Camoufox(addons=addons) as browser:
+    ...
+
+exclude_addons
+
+Type: Optional[List[DefaultAddons]]
+
+Exclude the default addons. Passed as a list of camoufox.DefaultAddons enums.
+
+Default addons
+../../fingerprint/addons/#default-addons
+
+window
+
+Type: Optional[Tuple[int, int]]
+
+Set the window size in (width, height) pixels. This will also set the window.screenX and window.screenY properties to position the window at the center of the generated screen.
+
+Camoufox will automatically generate a window size for you. Using a fixed window size can lead to fingerprinting. Do not set the window size to a fixed value unless for debugging purposes.
+
+with Camoufox(window=(1282, 955)) as browser:
+    ...
+
+main_world_eval
+
+Type: Optional[bool]
+
+Whether to inject scripts into the main world when prefixed with mw:
+
+with Camoufox(main_world_eval=True) as browser:
+    page = browser.new_page()
+    page.goto("https://example.com")
+    # Modify the DOM
+    page.evaluate("mw:document.querySelector('h1').remove()")
+
+See more info
+../main-world-eval/
+
+enable_cache
+
+Type: Optional[bool]
+
+Whether to cache previous pages, requests, etc. Disabled by default as it uses more memory.
+
+Keeping this disabled will not allow you to use the page.go_back() or page.go_forward() methods.
+
+with Camoufox(enable_cache=True) as browser:
+    ...
+
+persistent_context
+
+Type: Optional[bool]
+
+Whether to create a persistent context. Requires user_data_dir.
+
+with Camoufox(
+    persistent_context=True,
+    user_data_dir='/path/to/profile/dir',
+) as context:
+    ...
+
+#
+Location & Language
+
+Prevent proxy detection by matching your geolocation & locale with your target IP. This will populate the Geolocation & Intl properties for you.
+geoip
+
+Type: Optional[Union[str, bool]]
+
+Calculates longitude, latitude, timezone, country, & locale based on the IP address. Pass the target IP address to use, or True to find the IP address automatically.
+
+Geolocation & Proxies
+../geoip/
+
+# Use a specific IP address
+with Camoufox(geoip="203.0.113.0", proxy=...) as browser:
+    ...
+
+# Automatically find the IP address
+with Camoufox(geoip=True, proxy=...) as browser:
+    ...
+
+locale
+
+Type: Optional[Union[str, List[str]]]
+
+Locale(s) to use in Camoufox. Can be a list of strings, or a single string separated by a comma. The first locale in the list will be used for the Intl API.
+
+# Use a single locale
+with Camoufox(locale="en-US") as browser:
+    ...
+
+# Generate a language based on the distribution of speakers the US
+with Camoufox(locale="US") as browser:
+    ...
+
+# Use multiple accepted locales
+with Camoufox(locale=["en-US", "fr-FR", "de-DE"]) as browser:
+    ...
+with Camoufox(locale="en-US,fr-FR,de-DE") as browser:
+    ...
+
+#
+Toggles
+
+Shortcuts for common Firefox preferences and security toggles.
+block_images
+
+Type: Optional[bool]
+
+Blocks all requests to images. This can help save your proxy usage.
+
+with Camoufox(block_images=True) as browser:
+    ...
+
+block_webrtc
+
+Type: Optional[bool]
+
+Blocks WebRTC entirely.
+
+with Camoufox(block_webrtc=True) as browser:
+    ...
+
+block_webgl
+
+Type: Optional[bool]
+
+Whether to block WebGL. To prevent leaks, only use this for special cases.
+
+with Camoufox(block_webgl=True) as browser:
+    ...
+
+disable_coop
+
+Type: Optional[bool]
+
+Disables the Cross-Origin-Opener-Policy (COOP). This allows elements in cross-origin iframes, such as the Turnstile checkbox, to be clicked.
+
+# Cloudflare turnstile example
+with Camoufox(disable_coop=True, window=(1280, 720)) as browser:
+    page = browser.new_page()
+    page.goto('https://nopecha.com/demo/cloudflare')
+    page.wait_for_load_state(state="domcontentloaded")
+    page.wait_for_load_state('networkidle')
+    page.wait_for_timeout(5000)  # 5 seconds
+    page.mouse.click(210, 290)
+    ...
+
+Camoufox will warn you if your passed configuration might cause leaks.
+#
+More Usage Docs
+
+Geolocation & Proxies
+../geoip/
+Virtual Display
+../virtual-display/
+Remote Server
+../remote-server/
+
+PreviousInstallation
+NextGeo​IP & Proxy Support
+
+© Copyright daijro 2025. All rights reserved.
+Contents
+
+    Device Rotation
+    Configuration
+    Location & Language
+    Toggles
+    More Usage Docs
+

samples/eval-create.har

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+      "version": "1.17.4b"
+    },
+    "browser": {
+      "name": "Zen",
+      "version": "1.17.4b"
+    },
+    "pages": [
+      {
+        "id": "page_1",
+        "pageTimings": {
+          "onContentLoad": 1658,
+          "onLoad": 9103
+        },
+        "startedDateTime": "2025-11-02T09:32:01.870+10:30",
+        "title": "https://lmarena.ai/"
+      }
+    ],
+    "entries": [
+      {
+        "startedDateTime": "2025-11-02T09:32:01.870+10:30",
+        "request": {
+          "bodySize": 2649,
+          "method": "POST",
+          "url": "https://lmarena.ai/nextjs-api/stream/create-evaluation",
+          "httpVersion": "",
+          "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"
+            },
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+            },
+            {
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+            },
+            {
+              "name": "Accept-Encoding",
+              "value": "gzip, deflate, br, zstd"
+            },
+            {
+              "name": "Referer",
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+            },
+            {
+              "name": "Content-Type",
+              "value": "text/plain;charset=UTF-8"
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+              "value": "https://lmarena.ai"
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+            },
+            {
+              "name": "Sec-GPC",
+              "value": "1"
+            },
+            {
+              "name": "Connection",
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+            },
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samples/followup.har

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+          "statusText": "",
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+            {
+              "name": "content-type",
+              "value": "text/event-stream"
+            },
+            {
+              "name": "server",
+              "value": "cloudflare"
+            },
+            {
+              "name": "cf-ray",
+              "value": "99921d26fec5ec7b-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=2972, reset=9"
+            },
+            {
+              "name": "ratelimit-policy",
+              "value": "3000;w=300"
+            },
+            {
+              "name": "x-content-type-options",
+              "value": "nosniff"
+            },
+            {
+              "name": "x-matched-path",
+              "value": "/nextjs-api/stream/create-evaluation"
+            },
+            {
+              "name": "x-request-id",
+              "value": "fed35d36-4040-4849-9780-74a6875bf197"
+            },
+            {
+              "name": "x-vercel-cache",
+              "value": "MISS"
+            },
+            {
+              "name": "x-vercel-id",
+              "value": "syd1:syd1:sfo1::sfo1::sfo1::p8j6v-1762238362744-49e6e6e748c6"
+            },
+            {
+              "name": "x-vercel-request-id",
+              "value": "fed35d36-4040-4849-9780-74a6875bf197"
+            },
+            {
+              "name": "alt-svc",
+              "value": "h3=\":443\"; ma=86400"
+            },
+            {
+              "name": "X-Firefox-Spdy",
+              "value": "h2"
+            }
+          ],
+          "cookies": [],
+          "content": {
+            "mimeType": "text/event-stream",
+            "size": 79,
+            "text": "a0:\"hello\"\nb0:\"hello\"\nad:{\"finishReason\":\"unknown\"}\nbd:{\"finishReason\":\"stop\"}\n"
+          },
+          "redirectURL": "",
+          "headersSize": 818,
+          "bodySize": 897
+        },
+        "cache": {},
+        "timings": {
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+          "dns": 0,
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+          "send": 0,
+          "wait": 2793,
+          "receive": 0
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+        "_securityState": "secure",
+        "serverIPAddress": "104.18.20.173",
+        "connection": "443",
+        "pageref": "page_1"
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+  }
+}

samples/models.txt

@@ -0,0 +1,2219 @@
+{
+  "models": [
+    {
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+      "publicName": "gpt-5-high",
+      "organization": "openai",
+      "provider": "openai",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true,
+          "image": true
+        },
+        "outputCapabilities": {
+          "text": true
+        }
+      },
+      "name": "gpt-5-high"
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+          }
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+        "outputCapabilities": {
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+      "name": "kling-v2.1-standard"
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+    },
+    {
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+          "image": true
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+    {
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+      "organization": "alibaba",
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+        "inputCapabilities": {
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+          "image": {
+            "multipleImages": false,
+            "requiresUpload": true
+          }
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+        "outputCapabilities": {
+          "image": {
+            "aspectRatios": [
+              "1:1"
+            ]
+          }
+        }
+      },
+      "name": "qwen-image-edit"
+    },
+    {
+      "id": "ee39672b-d216-4bf4-b639-00469c4f886d",
+      "publicName": "qwen-image-edit-fal",
+      "organization": "alibaba",
+      "provider": "alibaba",
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+            "requiresUpload": true
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+        "outputCapabilities": {
+          "image": {
+            "aspectRatios": [
+              "1:1"
+            ]
+          }
+        }
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+      "name": "qwen-image-edit-fal"
+    },
+    {
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+      "publicName": "gpt-5-search",
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+      "capabilities": {
+        "inputCapabilities": {
+          "text": true
+        },
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+    },
+    {
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+      "publicName": "mai-1-preview",
+      "organization": "microsoft-ai",
+      "provider": "microsoft-ai",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true
+        },
+        "outputCapabilities": {
+          "text": true
+        }
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+    {
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+      "organization": "minimax",
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+      "capabilities": {
+        "inputCapabilities": {
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+          "image": {
+            "requiresUpload": true
+          }
+        },
+        "outputCapabilities": {
+          "video": true
+        }
+      },
+      "name": "hailuo-02-fast"
+    },
+    {
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+      "publicName": "seedance-v1-lite",
+      "organization": "bytedance",
+      "provider": "bytedance",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true
+        },
+        "outputCapabilities": {
+          "video": true
+        }
+      },
+      "name": "seedance-v1-lite"
+    },
+    {
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+      "publicName": "runway-gen4-turbo",
+      "organization": "runway",
+      "provider": "runway",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true,
+          "image": {
+            "requiresUpload": true
+          }
+        },
+        "outputCapabilities": {
+          "video": true
+        }
+      },
+      "name": "runway-gen4-turbo"
+    },
+    {
+      "id": "efdb7e05-2091-4e88-af9e-4ea6168d2f85",
+      "publicName": "kling-v2.1-master",
+      "organization": "kling",
+      "provider": "kling",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true,
+          "image": {
+            "requiresUpload": true
+          }
+        },
+        "outputCapabilities": {
+          "video": true
+        }
+      },
+      "name": "kling-v2.1-master"
+    },
+    {
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+      "publicName": "hunyuan-t1-20250711",
+      "organization": "tencent",
+      "provider": "tencent",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true
+        },
+        "outputCapabilities": {
+          "text": true
+        }
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+      "name": "hunyuan-t1-20250711"
+    },
+    {
+      "id": "f4809219-14a8-47fe-9705-8685085513e7",
+      "publicName": "mochi-v1",
+      "organization": "genmo",
+      "provider": "genmo",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true
+        },
+        "outputCapabilities": {
+          "video": true
+        }
+      },
+      "name": "mochi-v1"
+    },
+    {
+      "id": "e2969ebb-6450-4bc4-87c9-bbdcf95840da",
+      "publicName": "seededit-3.0",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true,
+          "image": {
+            "multipleImages": false,
+            "requiresUpload": true
+          }
+        },
+        "outputCapabilities": {
+          "image": {
+            "aspectRatios": [
+              "1:1"
+            ]
+          }
+        }
+      },
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+    },
+    {
+      "id": "71023e9b-7361-498a-b6db-f2d2a83883fd",
+      "publicName": "tahoe",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true
+        },
+        "outputCapabilities": {
+          "text": true
+        }
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+      "name": "tahoe"
+    },
+    {
+      "id": "32bff2df-00e6-409b-ad3f-bfbad87cc49f",
+      "publicName": "hidream-e1.1",
+      "capabilities": {
+        "inputCapabilities": {
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+          "image": {
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+            "requiresUpload": true
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+          "image": {
+            "aspectRatios": [
+              "1:1"
+            ]
+          }
+        }
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+      "name": "hidream-e1.1"
+    },
+    {
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+      "organization": "alibaba",
+      "provider": "alibaba",
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+          "text": true
+        },
+        "outputCapabilities": {
+          "video": true
+        }
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+    },
+    {
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+      "publicName": "gemini-2.0-flash-001",
+      "organization": "google",
+      "provider": "google",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true,
+          "image": true
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+        "outputCapabilities": {
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+    },
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+      "provider": "alibaba",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true,
+          "image": {
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+          }
+        },
+        "outputCapabilities": {
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+        }
+      },
+      "name": "wan-v2.2-a14b"
+    },
+    {
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+      "publicName": "claude-3-5-sonnet-20241022",
+      "organization": "anthropic",
+      "provider": "anthropic",
+      "capabilities": {
+        "inputCapabilities": {
+          "text": true
+        },
+        "outputCapabilities": {
+          "text": true
+        }
+      },
+      "name": "claude-3-5-sonnet-20241022"
+    },
+    {
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+      "publicName": "llama-4-scout-17b-16e-instruct",
+      "organization": "meta",
+      "provider": "meta",
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+          "image": true
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+        "outputCapabilities": {
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+    },
+    {
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+      "publicName": "catalina",
+      "capabilities": {
+        "inputCapabilities": {
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+        },
+        "outputCapabilities": {
+          "text": true
+        }
+      },
+      "name": "catalina"
+    }
+  ]
+}

samples/oldscript.js

@@ -0,0 +1,1467 @@
+// ==UserScript==
+// @name         LMArena Proxy Injector
+// @namespace    https://github.com/zhongruichen/lmarena-proxy
+// @version      1.1.0
+// @description  A powerful injector script for LMArena reverse proxy, enabling OpenAI-compatible API access.
+// @author       zhongruichen
+// @match        https://*.lmarena.ai/*
+// @icon         https://www.google.com/s2/favicons?sz=64&domain=lmarena.ai
+// @grant        none
+// @run-at       document-start
+// @all-frames   true
+// @updateURL    https://raw.githubusercontent.com/zhongruichen/lmarena-proxy/main/lmarena_injector.user.js
+// @downloadURL  https://raw.githubusercontent.com/zhongruichen/lmarena-proxy/main/lmarena_injector.user.js
+// ==/UserScript==
+(function () {
+    'use strict';
+
+    // --- CONFIGURATION ---
+    // 如果你的代理服务器不在本机运行，请修改此处的 IP 地址。
+    const CONFIG = {
+        SERVER_URL: "ws://localhost:9080/ws",
+    };
+
+    // --- Constants ---
+    const TARGET_API_PATH = "/api/stream/create-evaluation";
+    const REQUIRED_COOKIE = "arena-auth-prod-v1";
+
+    // --- State ---
+    let socket;
+    let isRefreshing = false;
+    let pendingRequests = [];
+    let modelRegistrySent = false;
+    let latestTurnstileToken = null;
+
+    // Track active fetch requests for abort capability
+    const activeFetchControllers = new Map(); // requestId -> AbortController
+
+    // --- Human-like Click Simulation ---
+    function simulateHumanClick() {
+        // Get viewport dimensions
+        const viewportWidth = window.innerWidth;
+        const viewportHeight = window.innerHeight;
+
+        // Calculate center area with some randomness (within 10% of center)
+        const centerX = viewportWidth / 2;
+        const centerY = viewportHeight / 2;
+        const randomOffsetX = (Math.random() - 0.5) * (viewportWidth * 0.1);
+        const randomOffsetY = (Math.random() - 0.5) * (viewportHeight * 0.1);
+
+        const clickX = Math.round(centerX + randomOffsetX);
+        const clickY = Math.round(centerY + randomOffsetY);
+
+        // Ensure click is within viewport bounds
+        const finalX = Math.max(10, Math.min(viewportWidth - 10, clickX));
+        const finalY = Math.max(10, Math.min(viewportHeight - 10, clickY));
+
+        console.log(`[Auth] 🖱️ Simulating human-like click at (${finalX}, ${finalY})`);
+
+        // Create and dispatch mouse events to simulate human interaction
+        const target = document.elementFromPoint(finalX, finalY) || document.body;
+
+        // Simulate mouse down, up, and click with slight delays
+        const mouseDown = new MouseEvent('mousedown', {
+            bubbles: true,
+            cancelable: true,
+            clientX: finalX,
+            clientY: finalY,
+            button: 0
+        });
+
+        const mouseUp = new MouseEvent('mouseup', {
+            bubbles: true,
+            cancelable: true,
+            clientX: finalX,
+            clientY: finalY,
+            button: 0
+        });
+
+        const click = new MouseEvent('click', {
+            bubbles: true,
+            cancelable: true,
+            clientX: finalX,
+            clientY: finalY,
+            button: 0
+        });
+
+        // Dispatch events with human-like timing
+        target.dispatchEvent(mouseDown);
+        setTimeout(() => {
+            target.dispatchEvent(mouseUp);
+            setTimeout(() => {
+                target.dispatchEvent(click);
+            }, Math.random() * 20 + 10); // 10-30ms delay
+        }, Math.random() * 50 + 50); // 50-100ms delay
+    }
+
+    // --- Turnstile Token Capture (Stealth Integration) ---
+    console.log('[Auth] Setting up Turnstile token capture...');
+
+    // Store the original native function
+    const originalCreateElement = document.createElement;
+
+    // Overwrite the function with our temporary trap
+    document.createElement = function(...args) {
+        // Run the original function to create the element
+        const element = originalCreateElement.apply(this, args);
+
+        // Only interested in SCRIPT tags
+        if (element.tagName === 'SCRIPT') {
+            // Use a different approach - override setAttribute instead of src property
+            const originalSetAttribute = element.setAttribute;
+            element.setAttribute = function(name, value) {
+                // Call the original setAttribute first
+                originalSetAttribute.call(this, name, value);
+
+                // If it's setting the src attribute and it's the turnstile script
+                if (name === 'src' && value && value.includes('challenges.cloudflare.com/turnstile')) {
+                    console.log('[Auth] Turnstile SCRIPT tag found! Adding load listener.');
+
+                    // Add our 'load' event listener to hook the object AFTER execution
+                    element.addEventListener('load', function() {
+                        console.log('[Auth] Turnstile script has loaded. Now safe to hook turnstile.render().');
+                        if (window.turnstile) {
+                            hookTurnstileRender(window.turnstile);
+                        }
+                    });
+
+                    // --- THIS IS THE CRITICAL STEP ---
+                    // We have found our target, so we restore the original function immediately.
+                    console.log('[Auth] Trap is no longer needed. Restoring original document.createElement.');
+                    document.createElement = originalCreateElement;
+                }
+            };
+        }
+        return element;
+    };
+
+    function hookTurnstileRender(turnstile) {
+        const originalRender = turnstile.render;
+        turnstile.render = function(container, params) {
+            console.log('[Auth] Intercepted turnstile.render() call.');
+            const originalCallback = params.callback;
+            params.callback = (token) => {
+                handleTurnstileToken(token);
+                if (originalCallback) return originalCallback(token);
+            };
+            return originalRender(container, params);
+        };
+    }
+
+    function handleTurnstileToken(token) {
+        latestTurnstileToken = token;
+        const message = `✅ Cloudflare Turnstile Token Captured: ${token}`;
+        console.log('%c' + message, 'color: #28a745; font-weight: bold;');
+
+        console.log('[Auth] Fresh Turnstile token captured and ready for use.');
+    }
+
+    // Define the Turnstile onload callback function globally
+    window.onloadTurnstileCallback = function() {
+        console.log('[Auth] 🎯 Turnstile onload callback triggered');
+        if (window.turnstile) {
+            console.log('[Auth] 🔧 Turnstile object available, setting up hooks...');
+            hookTurnstileRender(window.turnstile);
+
+            // Create a hidden Turnstile widget to generate a token
+            setTimeout(() => {
+                createHiddenTurnstileWidget();
+            }, 1000); // Wait a bit for hooks to be fully set up
+        } else {
+            console.warn('[Auth] ⚠️ Turnstile object not available in onload callback');
+        }
+    };
+
+    function extractTurnstileSitekey() {
+        // Use known LMArena sitekey directly
+        const sitekey = '0x4AAAAAAA65vWDmG-O_lPtT';
+        console.log('[Auth] 🔑 Using LMArena sitekey:', sitekey);
+        return sitekey;
+    }
+
+    function createHiddenTurnstileWidget() {
+        try {
+            console.log('[Auth] 🎯 Creating hidden Turnstile widget to generate token...');
+
+            // Extract the correct sitekey from the page
+            const sitekey = extractTurnstileSitekey();
+            if (!sitekey) {
+                console.error('[Auth] ❌ Cannot create Turnstile widget: no sitekey found');
+                return;
+            }
+
+            // Create a hidden container for the Turnstile widget
+            const container = document.createElement('div');
+            container.id = 'hidden-turnstile-widget';
+            container.style.position = 'absolute';
+            container.style.left = '-9999px';
+            container.style.top = '-9999px';
+            container.style.width = '300px';
+            container.style.height = '65px';
+            container.style.visibility = 'hidden';
+            container.style.opacity = '0';
+            container.style.pointerEvents = 'none';
+
+            document.body.appendChild(container);
+
+            // Render the Turnstile widget
+            if (window.turnstile && window.turnstile.render) {
+                const widgetId = window.turnstile.render(container, {
+                    sitekey: sitekey,
+                    callback: function(token) {
+                        console.log('[Auth] 🎉 Hidden Turnstile widget generated token!');
+                        handleTurnstileToken(token);
+                    },
+                    'error-callback': function(error) {
+                        console.warn('[Auth] ⚠️ Hidden Turnstile widget error:', error);
+                    },
+                    'expired-callback': function() {
+                        console.log('[Auth] ⏰ Hidden Turnstile token expired, creating new widget...');
+                        // Remove old widget and create new one
+                        const oldContainer = document.getElementById('hidden-turnstile-widget');
+                        if (oldContainer) {
+                            oldContainer.remove();
+                        }
+                        setTimeout(createHiddenTurnstileWidget, 1000);
+                    },
+                    theme: 'light',
+                    size: 'normal'
+                });
+
+                console.log('[Auth] ✅ Hidden Turnstile widget created with ID:', widgetId);
+            } else {
+                console.error('[Auth] ❌ Turnstile render function not available');
+            }
+        } catch (error) {
+            console.error('[Auth] ❌ Error creating hidden Turnstile widget:', error);
+        }
+    }
+
+    // Consolidated authentication helper functions
+    async function initializeTurnstileIfNeeded() {
+        console.log("[Auth] 🔧 Initializing Turnstile API if needed...");
+
+        try {
+            const script = document.createElement('script');
+            script.src = 'https://challenges.cloudflare.com/turnstile/v0/api.js?onload=onloadTurnstileCallback&render=explicit';
+            script.async = true;
+            script.defer = true;
+
+            script.onload = () => {
+                console.log("[Auth] ✅ Turnstile API script loaded successfully");
+            };
+            script.onerror = (error) => {
+                console.warn("[Auth] ⚠️ Failed to load Turnstile API script:", error);
+            };
+
+            document.head.appendChild(script);
+            console.log("[Auth] ✅ Turnstile API script injection initiated");
+
+            // Schedule a human-like click 3 seconds after script injection to avoid bot detection
+            setTimeout(() => {
+                simulateHumanClick();
+            }, 3000 + Math.random() * 1000); // 3-4 seconds with randomness
+        } catch (error) {
+            console.warn("[Auth] ⚠️ Failed to initialize Turnstile API:", error.message);
+            throw error;
+        }
+    }
+
+    async function ensureAuthenticationReady(requestId) {
+        console.log(`[Auth] 🔐 Ensuring authentication is ready for request ${requestId}...`);
+
+        // Check for required authentication cookie first
+        if (!checkAuthCookie()) {
+            console.log(`[Auth] ⚠️ Missing auth cookie for request ${requestId}, initiating auth flow...`);
+
+            // Check if we have stored auth data first
+            let authData = getStoredAuthData();
+
+            if (!authData) {
+                // No valid stored auth, need to authenticate
+                // But first, double-check if auth cookie became available
+                if (checkAuthCookie()) {
+                    console.log(`[Auth] ✅ Auth cookie became available during auth check for request ${requestId} - skipping authentication`);
+                    return; // Auth cookie is now available, no need to authenticate
+                }
+
+                let turnstileToken = latestTurnstileToken;
+
+                if (!turnstileToken) {
+                    console.log(`[Auth] ⏳ No Turnstile token available yet for request ${requestId}, initializing Turnstile API...`);
+
+                    // Initialize Turnstile API if no token is available
+                    await initializeTurnstileIfNeeded();
+
+                    console.log(`[Auth] ⏳ Waiting for Turnstile token for request ${requestId}...`);
+                    turnstileToken = await waitForTurnstileToken();
+
+                    if (turnstileToken === 'auth_cookie_available') {
+                        console.log(`[Auth] ✅ Auth cookie became available during wait for request ${requestId} - skipping authentication`);
+                        return; // Auth cookie is now available, no need to authenticate
+                    }
+
+                    if (!turnstileToken) {
+                        throw new Error("Authentication required: Turnstile token not generated within timeout. Please refresh the page.");
+                    }
+                }
+
+                console.log(`[Auth] 🔑 Have Turnstile token for request ${requestId}, performing authentication...`);
+                authData = await performAuthentication(turnstileToken);
+            }
+
+            console.log(`[Auth] ✅ Authentication complete for request ${requestId}`);
+        } else {
+            console.log(`[Auth] ✅ Auth cookie already present for request ${requestId}`);
+        }
+    }
+
+    function getCookie(name) {
+        const value = `; ${document.cookie}`;
+        const parts = value.split(`; ${name}=`);
+        if (parts.length === 2) return parts.pop().split(';').shift();
+        return null;
+    }
+
+    function checkAuthCookie() {
+        const authCookie = getCookie(REQUIRED_COOKIE);
+        if (authCookie) {
+            console.log(`[Auth] ✅ Found required cookie: ${REQUIRED_COOKIE}`);
+            return true;
+        } else {
+            console.log(`[Auth] ❌ Missing required cookie: ${REQUIRED_COOKIE}`);
+            return false;
+        }
+    }
+
+    async function waitForTurnstileToken(maxWaitTime = 60000) {
+        console.log(`[Auth] ⏳ Waiting for Turnstile token to be generated...`);
+
+        const checkInterval = 1000; // Check every 1 second
+        let waitTime = 0;
+
+        while (waitTime < maxWaitTime) {
+            // Check if auth cookie became available - if so, no need to wait for Turnstile token
+            if (checkAuthCookie()) {
+                console.log(`[Auth] ✅ Auth cookie became available during Turnstile wait after ${waitTime}ms - skipping token wait`);
+                return 'auth_cookie_available';
+            }
+
+            if (latestTurnstileToken) {
+                console.log(`[Auth] ✅ Turnstile token available after ${waitTime}ms`);
+                return latestTurnstileToken;
+            }
+
+            console.log(`[Auth] ⏳ Still waiting for Turnstile token or auth cookie... (${waitTime}ms elapsed)`);
+            await new Promise(resolve => setTimeout(resolve, checkInterval));
+            waitTime += checkInterval;
+        }
+
+        console.warn(`[Auth] ⚠️ Turnstile token wait timeout after ${maxWaitTime}ms`);
+        return null;
+    }
+
+    async function performAuthentication(turnstileToken) {
+        console.log(`[Auth] 🔐 Starting authentication process with Turnstile token...`);
+
+        try {
+            // Step 1: Get JWT token from sign-up endpoint
+            const authResponse = await fetch('https://lmarena.ai/api/sign-up', {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'text/plain;charset=UTF-8',
+                    'Accept': '*/*',
+                    // The browser automatically adds critical headers:
+                    // Cookie, User-Agent, Accept-Language, sec-ch-ua, etc.
+                },
+                body: JSON.stringify({
+                    turnstile_token: turnstileToken
+                })
+            });
+
+            if (!authResponse.ok) {
+                throw new Error(`Authentication request failed with status ${authResponse.status}`);
+            }
+
+            const authData = await authResponse.json();
+            console.log(`[Auth] ✅ Step 1: Received JWT token from sign-up.`);
+
+            // Step 2: Create and set the auth cookie
+            const cookieValue = `base64-${btoa(JSON.stringify(authData))}`;
+            document.cookie = `${REQUIRED_COOKIE}=${cookieValue}; path=/; domain=.lmarena.ai; secure; samesite=lax`;
+            console.log(`[Auth] ✅ Step 2: Set auth cookie in browser.`);
+
+            // Step 3: Make verification request to complete authentication
+            const verifyResponse = await fetch('https://lmarena.ai/', {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'text/plain;charset=UTF-8',
+                    'Accept': 'text/x-component',
+                    'next-action': '40fc0d1f8f1f9cade86c05d74881beb408c1fbf3c4',
+                    'next-router-state-tree': '%5B%22%22%2C%7B%22children%22%3A%5B%5B%22locale%22%2C%22en%22%2C%22d%22%5D%2C%7B%22children%22%3A%5B%22(app)%22%2C%7B%22children%22%3A%5B%22(with-sidebar)%22%2C%7B%22children%22%3A%5B%22__PAGE__%22%2C%7B%7D%2C%22%2F%22%2C%22refresh%22%5D%7D%5D%7D%2Cnull%2Cnull%2Ctrue%5D%7D%5D%7D%5D',
+                    'x-deployment-id': 'dpl_55LQ8Z7ygwa1s99pJVeED1iU2jvW',
+                    // The browser automatically adds critical headers including the new auth cookie
+                },
+                body: JSON.stringify([])
+            });
+
+            if (!verifyResponse.ok) {
+                throw new Error(`Authentication verification failed with status ${verifyResponse.status}`);
+            }
+
+            const verifyText = await verifyResponse.text();
+            console.log(`[Auth] ✅ Step 3: Authentication verification completed.`);
+            console.log(`[Auth] Verification response:`, verifyText);
+
+            // Store the authentication data
+            localStorage.setItem('lmarena_auth_data', JSON.stringify(authData));
+            localStorage.setItem('lmarena_auth_timestamp', Date.now().toString());
+
+            console.log(`[Auth] 💾 Stored authentication data. Token expires at: ${new Date(authData.expires_at * 1000).toISOString()}`);
+            console.log(`[Auth] 🎉 Complete authentication flow finished successfully!`);
+
+            return authData;
+
+        } catch (error) {
+            console.error(`[Auth] ❌ Authentication failed:`, error);
+            throw error;
+        }
+    }
+
+    function getStoredAuthData() {
+        const authData = localStorage.getItem('lmarena_auth_data');
+        const timestamp = localStorage.getItem('lmarena_auth_timestamp');
+
+        if (authData && timestamp) {
+            try {
+                const parsedAuthData = JSON.parse(authData);
+                const currentTime = Math.floor(Date.now() / 1000); // Current time in seconds
+
+                // Check if token is still valid (with 5 minute buffer)
+                if (parsedAuthData.expires_at && (parsedAuthData.expires_at - 300) > currentTime) {
+                    const remainingTime = parsedAuthData.expires_at - currentTime;
+                    console.log(`[Auth] Using stored auth data (expires in ${Math.round(remainingTime/60)} minutes)`);
+                    return parsedAuthData;
+                } else {
+                    console.log(`[Auth] Stored auth data expired, removing...`);
+                    localStorage.removeItem('lmarena_auth_data');
+                    localStorage.removeItem('lmarena_auth_timestamp');
+                }
+            } catch (error) {
+                console.error(`[Auth] Error parsing stored auth data:`, error);
+                localStorage.removeItem('lmarena_auth_data');
+                localStorage.removeItem('lmarena_auth_timestamp');
+            }
+        }
+        return null;
+    }
+
+    async function waitForCloudflareAuth() {
+        console.log("[Injector] ⏳ Waiting for Cloudflare authentication to complete...");
+
+        const maxWaitTime = 45000; // 45 seconds max wait (increased for slow CF challenges)
+        const checkInterval = 500; // Check every 0.5 seconds (faster since we're not making network requests)
+        let waitTime = 0;
+
+        while (waitTime < maxWaitTime) {
+            try {
+                // Check the current page DOM for CF challenge indicators
+                if (!isCurrentPageCloudflareChallenge()) {
+                    console.log(`[Injector] ✅ Cloudflare authentication completed after ${waitTime}ms`);
+                    return true;
+                }
+
+                console.log(`[Injector] ⏳ Still waiting for CF auth... (${waitTime}ms elapsed)`);
+
+            } catch (error) {
+                console.log(`[Injector] ⏳ CF auth check failed, continuing to wait... (${waitTime}ms elapsed) - ${error.message}`);
+            }
+
+            await new Promise(resolve => setTimeout(resolve, checkInterval));
+            waitTime += checkInterval;
+        }
+
+        console.warn(`[Injector] ⚠️ CF authentication wait timeout after ${maxWaitTime}ms`);
+        return false;
+    }
+
+    async function processPendingRequests() {
+        // Retrieve pending requests from localStorage (survives page refresh)
+        const storedRequests = localStorage.getItem('lmarena_pending_requests');
+        if (!storedRequests) {
+            console.log("[Injector] 📭 No pending requests found, skipping processing");
+            return;
+        }
+
+        try {
+            const requests = JSON.parse(storedRequests);
+            if (!requests || requests.length === 0) {
+                console.log("[Injector] 📭 No pending requests in storage, cleaning up");
+                localStorage.removeItem('lmarena_pending_requests');
+                return;
+            }
+
+            console.log(`[Injector] 🔄 Found ${requests.length} pending requests after refresh`);
+
+                // CRITICAL: Wait for CF authentication to complete before processing requests
+                console.log("[Injector] ⏳ Waiting for Cloudflare authentication to complete before processing requests...");
+                const authComplete = await waitForCloudflareAuth();
+
+                if (!authComplete) {
+                    console.error("[Injector] ❌ CF authentication timeout - requests may fail");
+                    console.log("[Injector] 🔍 CF auth failed, but NOT triggering refresh - only refreshing on actual 429/CF challenge");
+                    // Don't process requests if CF auth failed
+                    return;
+                }
+
+                console.log("[Injector] ✅ Cloudflare authentication completed, proceeding with requests");
+
+                // Wait a bit more for the page to fully stabilize after CF auth
+                await new Promise(resolve => setTimeout(resolve, 2000));
+
+                // ENHANCED: Wait for either Turnstile token OR auth cookie to become available
+                console.log("[Injector] ⏳ Waiting for either Turnstile token or auth cookie to become available...");
+                const maxWaitTime = 60000; // 60 seconds max wait
+                const checkInterval = 1000; // Check every 1 second
+                let waitTime = 0;
+                let authReady = false;
+                let turnstileInitialized = false;
+
+                while (waitTime < maxWaitTime && !authReady) {
+                    // PRIORITY 1: Check if auth cookie already exists - if so, we're done!
+                    if (checkAuthCookie()) {
+                        console.log("[Injector] 🎉 Auth cookie found after refresh, ready to proceed!");
+                        authReady = true;
+                        break;
+                    }
+
+                    // PRIORITY 2: Only check for Turnstile token if we don't have auth cookie
+                    if (latestTurnstileToken) {
+                        console.log("[Injector] ✅ Turnstile token available, ready to proceed!");
+                        authReady = true;
+                        break;
+                    }
+
+                    // PRIORITY 3: Only initialize Turnstile if we don't have auth cookie and no token yet
+                    if (!turnstileInitialized && waitTime > 2000) { // Wait 2 seconds before initializing
+                        // Double-check auth cookie before initializing Turnstile
+                        if (checkAuthCookie()) {
+                            console.log("[Injector] 🎉 Auth cookie became available before Turnstile init, skipping!");
+                            authReady = true;
+                            break;
+                        }
+
+                        console.log("[Injector] 🔧 No auth cookie or Turnstile token found, initializing Turnstile API...");
+                        try {
+                            await initializeTurnstileIfNeeded();
+                            turnstileInitialized = true;
+
+                            // Check auth cookie again after Turnstile init in case it became available
+                            if (checkAuthCookie()) {
+                                console.log("[Injector] 🎉 Auth cookie became available during Turnstile init!");
+                                authReady = true;
+                                break;
+                            }
+                        } catch (error) {
+                            console.warn("[Injector] ⚠️ Failed to initialize Turnstile API:", error.message);
+                            turnstileInitialized = true; // Don't retry
+                        }
+                    }
+
+                    console.log(`[Injector] ⏳ Still waiting for auth cookie or Turnstile token... (${waitTime}ms elapsed)`);
+                    await new Promise(resolve => setTimeout(resolve, checkInterval));
+                    waitTime += checkInterval;
+                }
+
+                if (!authReady) {
+                    console.log("[Injector] ⚠️ Neither auth cookie nor Turnstile token became available within timeout, proceeding anyway");
+                }
+
+                // Wait for the reconnection handshake to complete
+                await new Promise(resolve => setTimeout(resolve, 1000));
+
+                // Clear the stored requests to prevent duplicate processing
+                localStorage.removeItem('lmarena_pending_requests');
+
+                // Process each pending request
+                for (let i = 0; i < requests.length; i++) {
+                    const request = requests[i];
+                    const { requestId, payload, files_to_upload } = request;
+                    console.log(`[Injector] 🔄 Retrying request ${requestId} after refresh (${i + 1}/${requests.length})`);
+
+                    // Add a small delay between requests to avoid overwhelming the server
+                    if (i > 0) {
+                        await new Promise(resolve => setTimeout(resolve, 500));
+                    }
+
+                    try {
+                        // Check if this is an upload request or regular request
+                        if (files_to_upload && files_to_upload.length > 0) {
+                            console.log(`[Injector] 🔄 Retrying upload request ${requestId} with ${files_to_upload.length} file(s)`);
+                            await handleUploadAndChat(requestId, payload, files_to_upload);
+                        } else {
+                            console.log(`[Injector] 🔄 Retrying regular request ${requestId}`);
+                            await executeFetchAndStreamBack(requestId, payload);
+                        }
+                        console.log(`[Injector] ✅ Successfully retried request ${requestId}`);
+                    } catch (error) {
+                        console.error(`[Injector] ❌ Failed to retry request ${requestId}:`, error);
+                        // Send error to server so it can timeout the request
+                        if (socket && socket.readyState === WebSocket.OPEN) {
+                            socket.send(JSON.stringify({
+                                request_id: requestId,
+                                data: JSON.stringify({ error: `Retry failed: ${error.message}` })
+                            }));
+                            socket.send(JSON.stringify({
+                                request_id: requestId,
+                                data: "[DONE]"
+                            }));
+                        }
+                    }
+                }
+
+                console.log(`[Injector] 🎉 Completed processing ${requests.length} pending requests`);
+
+        } catch (error) {
+            console.error("[Injector] ❌ Error processing pending requests:", error);
+            localStorage.removeItem('lmarena_pending_requests');
+        }
+    }
+
+    function connect() {
+        console.log(`[Injector] Connecting to server at ${CONFIG.SERVER_URL}...`);
+        socket = new WebSocket(CONFIG.SERVER_URL);
+
+        socket.onopen = () => {
+            console.log("[Injector] ✅ Connection established with local server.");
+
+            // Send reconnection handshake if we have pending requests
+            sendReconnectionHandshake();
+
+            // Check if we have pending requests from before a CF refresh
+            processPendingRequests();
+
+            // Send model registry after connection
+            if (!modelRegistrySent) {
+                setTimeout(() => {
+                    sendModelRegistry();
+                }, 2000); // Wait a bit for page to fully load
+            }
+        };
+
+        socket.onmessage = async (event) => {
+            try {
+                const message = JSON.parse(event.data);
+
+                // 处理心跳 ping
+                if (message.type === 'ping') {
+                    console.log('[Injector] 💓 Received ping, sending pong...');
+                    socket.send(JSON.stringify({
+                        type: 'pong',
+                        timestamp: message.timestamp
+                    }));
+                    return;
+                }
+
+                if (message.type === 'refresh_models') {
+                    console.log('[Injector] 🔄 Received model refresh request');
+                    sendModelRegistry();
+                    return;
+                }
+
+                if (message.type === 'model_registry_ack') {
+                    console.log(`[Injector] ✅ Model registry updated with ${message.count} models`);
+                    modelRegistrySent = true;
+                    return;
+                }
+
+                if (message.type === 'reconnection_ack') {
+                    console.log(`[Injector] 🤝 Reconnection acknowledged: ${message.message}`);
+                    if (message.pending_request_ids && message.pending_request_ids.length > 0) {
+                        console.log(`[Injector] 📋 Server has ${message.pending_request_ids.length} pending requests waiting`);
+                    }
+                    return;
+                }
+
+                if (message.type === 'restoration_ack') {
+                    console.log(`[Injector] 🔄 Request restoration acknowledged: ${message.message}`);
+                    console.log(`[Injector] ✅ ${message.restored_count} request channels restored`);
+                    return;
+                }
+
+                // Handle abort request from server when client disconnects
+                if (message.type === 'abort_request') {
+                    const requestId = message.request_id;
+                    console.log(`[Injector] 🛑 Received abort request for ${requestId}`);
+
+                    const controller = activeFetchControllers.get(requestId);
+                    if (controller) {
+                        controller.abort();
+                        activeFetchControllers.delete(requestId);
+                        console.log(`[Injector] ✅ Aborted fetch request ${requestId}`);
+                    } else {
+                        console.log(`[Injector] ⚠️ No active fetch found for request ${requestId}`);
+                    }
+                    return;
+                }
+
+                const { request_id, payload, files_to_upload } = message;
+
+                if (!request_id || !payload) {
+                    console.error("[Injector] Invalid message from server:", message);
+                    return;
+                }
+
+                // Check if there are files to upload and route to the correct handler
+                if (files_to_upload && files_to_upload.length > 0) {
+                    console.log(`[Injector] ⬆️ Received request with ${files_to_upload.length} file(s). Starting upload process.`);
+                    await handleUploadAndChat(request_id, payload, files_to_upload);
+                } else {
+                    console.log(`[Injector] ⬇️ Received standard text request ${request_id}. Firing fetch.`);
+                    await executeFetchAndStreamBack(request_id, payload);
+                }
+
+            } catch (error) {
+                console.error("[Injector] Error processing message from server:", error);
+            }
+        };
+
+        socket.onclose = () => {
+            console.warn("[Injector] 🔌 Connection to local server closed. Retrying in 5 seconds...");
+            modelRegistrySent = false; // Reset flag on disconnect
+
+            // Abort all active fetch requests when WebSocket closes
+            if (activeFetchControllers.size > 0) {
+                console.log(`[Injector] 🛑 Aborting ${activeFetchControllers.size} active fetch requests due to WebSocket disconnect`);
+                for (const [requestId, controller] of activeFetchControllers) {
+                    controller.abort();
+                    console.log(`[Injector] ✅ Aborted fetch request ${requestId}`);
+                }
+                activeFetchControllers.clear();
+            }
+
+            setTimeout(connect, 5000);
+        };
+
+        socket.onerror = (error) => {
+            console.error("[Injector] ❌ WebSocket error:", error);
+            socket.close(); // This will trigger the onclose reconnect logic
+        };
+    }
+
+    function isCloudflareChallenge(responseText) {
+        // Check for common Cloudflare challenge indicators
+        return responseText.includes('Checking your browser before accessing') ||
+               responseText.includes('DDoS protection by Cloudflare') ||
+               responseText.includes('cf-browser-verification') ||
+               responseText.includes('cf-challenge-running') ||
+               responseText.includes('__cf_chl_jschl_tk__') ||
+               responseText.includes('cloudflare-static') ||
+               responseText.includes('<title>Just a moment...</title>') ||
+               responseText.includes('Enable JavaScript and cookies to continue') ||
+               responseText.includes('window._cf_chl_opt') ||
+               (responseText.includes('cloudflare') && responseText.includes('challenge'));
+    }
+
+    function isCurrentPageCloudflareChallenge() {
+        // Check the current page DOM for CF challenge indicators
+        try {
+            // Check page title
+            if (document.title.includes('Just a moment') ||
+                document.title.includes('Checking your browser') ||
+                document.title.includes('Please wait')) {
+                console.log("[Injector] 🛡️ CF challenge detected in page title");
+                return true;
+            }
+
+            // Check for CF challenge elements in the DOM
+            const cfIndicators = [
+                'cf-browser-verification',
+                'cf-challenge-running',
+                'cf-wrapper',
+                'cf-error-details',
+                'cloudflare-static'
+            ];
+
+            for (const indicator of cfIndicators) {
+                if (document.getElementById(indicator) ||
+                    document.querySelector(`[class*="${indicator}"]`) ||
+                    document.querySelector(`[id*="${indicator}"]`)) {
+                    console.log(`[Injector] 🛡️ CF challenge detected: found element with ${indicator}`);
+                    return true;
+                }
+            }
+
+            // Check for CF challenge text content
+            const bodyText = document.body ? document.body.textContent || document.body.innerText : '';
+            if (bodyText.includes('Checking your browser before accessing') ||
+                bodyText.includes('DDoS protection by Cloudflare') ||
+                bodyText.includes('Enable JavaScript and cookies to continue') ||
+                bodyText.includes('Please complete the security check') ||
+                bodyText.includes('Verifying you are human')) {
+                console.log("[Injector] 🛡️ CF challenge detected in page text content");
+                return true;
+            }
+
+            // Check for CF challenge scripts
+            const scripts = document.querySelectorAll('script');
+            for (const script of scripts) {
+                const scriptContent = script.textContent || script.innerHTML;
+                if (scriptContent.includes('__cf_chl_jschl_tk__') ||
+                    scriptContent.includes('window._cf_chl_opt') ||
+                    scriptContent.includes('cf_challenge_response')) {
+                    console.log("[Injector] 🛡️ CF challenge detected in script content");
+                    return true;
+                }
+            }
+
+            // Check if the page looks like the normal LMArena interface
+            // Look for key elements that should be present on the normal page
+            const normalPageIndicators = [
+                'nav', 'header', 'main',
+                '[data-testid]', '[class*="chat"]', '[class*="model"]',
+                'input[type="text"]', 'textarea'
+            ];
+
+            let normalElementsFound = 0;
+            for (const selector of normalPageIndicators) {
+                if (document.querySelector(selector)) {
+                    normalElementsFound++;
+                }
+            }
+
+            // If we found several normal page elements, it's likely not a CF challenge
+            if (normalElementsFound >= 3) {
+                console.log(`[Injector] ✅ Normal page detected: found ${normalElementsFound} normal elements`);
+                return false;
+            }
+
+            // If the page is mostly empty or has very few elements, it might be a CF challenge
+            const totalElements = document.querySelectorAll('*').length;
+            if (totalElements < 50) {
+                console.log(`[Injector] 🛡️ Possible CF challenge: page has only ${totalElements} elements`);
+                return true;
+            }
+
+            console.log("[Injector] ✅ No CF challenge indicators found in current page");
+            return false;
+
+        } catch (error) {
+            console.warn(`[Injector] ⚠️ Error checking current page for CF challenge: ${error.message}`);
+            // If we can't check, assume no challenge to avoid blocking
+            return false;
+        }
+    }
+
+    async function handleCloudflareRefresh() {
+        if (isRefreshing) {
+            console.log("[Injector] 🔄 Already refreshing, skipping duplicate refresh request");
+            return;
+        }
+
+        isRefreshing = true;
+        console.log("[Injector] 🔄 Cloudflare challenge detected! Refreshing page to get new token...");
+
+        try {
+            // Check if we have any pending requests stored
+            const storedRequests = localStorage.getItem('lmarena_pending_requests');
+            if (storedRequests) {
+                const requests = JSON.parse(storedRequests);
+                console.log(`[Injector] 💾 Found ${requests.length} pending requests, refreshing page...`);
+            }
+
+            // Refresh the page to trigger new CF authentication
+            window.location.reload();
+
+            // Wait for page to reload and CF auth to complete
+            // The script will restart after reload, so this won't continue
+        } catch (error) {
+            console.error("[Injector] ❌ Error during CF refresh:", error);
+            isRefreshing = false;
+        }
+    }
+
+    async function handleRateLimitRefresh() {
+        if (isRefreshing) {
+            console.log("[Injector] 🔄 Already refreshing, skipping duplicate rate limit refresh request");
+            return;
+        }
+
+        isRefreshing = true;
+        console.log("[Injector] 🚫 Rate limit (429) detected! Deleting auth cookie and refreshing to create new identity...");
+
+        try {
+            // Delete ALL cookies to create a completely fresh identity
+            console.log(`[Injector] 🗑️ Deleting ALL cookies to ensure fresh identity...`);
+
+            // Get all cookies and delete them
+            const cookies = document.cookie.split(";");
+            for (let cookie of cookies) {
+                const eqPos = cookie.indexOf("=");
+                const name = eqPos > -1 ? cookie.substr(0, eqPos).trim() : cookie.trim();
+                if (name) {
+                    // Delete for current domain
+                    document.cookie = `${name}=; path=/; expires=Thu, 01 Jan 1970 00:00:00 GMT`;
+                    // Delete for lmarena.ai domain
+                    document.cookie = `${name}=; path=/; domain=lmarena.ai; expires=Thu, 01 Jan 1970 00:00:00 GMT`;
+                    // Delete for .lmarena.ai domain
+                    document.cookie = `${name}=; path=/; domain=.lmarena.ai; expires=Thu, 01 Jan 1970 00:00:00 GMT`;
+                    // Delete for lmarena.ai domain
+                    document.cookie = `${name}=; path=/; domain=lmarena.ai; expires=Thu, 01 Jan 1970 00:00:00 GMT`;
+                }
+            }
+            console.log(`[Injector] 🗑️ Deleted ${cookies.length} cookies`);
+
+            // Also clear stored auth data
+            localStorage.removeItem('lmarena_auth_data');
+            localStorage.removeItem('lmarena_auth_timestamp');
+            console.log(`[Injector] 🗑️ Cleared stored auth data`);
+
+            // Check if we have any pending requests stored
+            const storedRequests = localStorage.getItem('lmarena_pending_requests');
+            if (storedRequests) {
+                const requests = JSON.parse(storedRequests);
+                console.log(`[Injector] 💾 Found ${requests.length} pending requests, refreshing page...`);
+            }
+
+            // Refresh the page to get new identity
+            window.location.reload();
+
+            // Wait for page to reload and new auth to complete
+            // The script will restart after reload, so this won't continue
+        } catch (error) {
+            console.error("[Injector] ❌ Error during rate limit refresh:", error);
+            isRefreshing = false;
+        }
+    }
+
+    // Helper function to convert base64 to a Blob
+    function base64ToBlob(base64, contentType) {
+        const byteCharacters = atob(base64);
+        const byteNumbers = new Array(byteCharacters.length);
+        for (let i = 0; i < byteCharacters.length; i++) {
+            byteNumbers[i] = byteCharacters.charCodeAt(i);
+        }
+        const byteArray = new Uint8Array(byteNumbers);
+        return new Blob([byteArray], { type: contentType });
+    }
+
+    async function handleUploadAndChat(requestId, payload, filesToUpload) {
+        // Create abort controller for this request
+        const abortController = new AbortController();
+        activeFetchControllers.set(requestId, abortController);
+
+        try {
+            console.log(`[Uploader] 🚀 Starting upload and chat for request ${requestId}`);
+
+            // Ensure authentication is ready before making requests
+            await ensureAuthenticationReady(requestId);
+
+            const attachments = [];
+            for (const file of filesToUpload) {
+                console.log(`[Uploader] Processing file: ${file.fileName}`);
+
+                // Step 1: Get Signed URL
+                console.log(`[Uploader] Step 1: Getting signed URL for ${file.fileName}`);
+                const signUrlResponse = await fetch('https://lmarena.ai/?mode=direct', {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'text/plain;charset=UTF-8',
+                        'Accept': 'text/x-component',
+                        'next-action': '70921b78972dce2a8502e777b245519ec3b4304009',
+                        'next-router-state-tree': '%5B%22%22%2C%7B%22children%22%3A%5B%5B%22locale%22%2C%22en%22%2C%22d%22%5D%2C%7B%22children%22%3A%5B%22(app)%22%2C%7B%22children%22%3A%5B%22(with-sidebar)%22%2C%7B%22children%22%3A%5B%22__PAGE__%3F%7B%5C%22mode%5C%22%3A%5C%22direct%5C%22%7D%22%2C%7B%7D%2C%22%2F%3Fmode%3Ddirect%22%2C%22refresh%22%5D%7D%2Cnull%2Cnull%5D%7D%2Cnull%2Cnull%2Ctrue%5D%7D%2Cnull%2Cnull%5D%7D%2Cnull%2Cnull%5D',
+                        'origin': 'https://lmarena.ai',
+                        'referer': 'https://lmarena.ai/'
+                    },
+                    body: JSON.stringify([file.fileName, file.contentType]),
+                    signal: abortController.signal
+                });
+
+                const signUrlText = await signUrlResponse.text();
+                console.log("[Uploader] Received for signed URL:", signUrlText);
+
+                // The response format may vary. Try different parsing strategies.
+                let signUrlData = null;
+
+                // Strategy 1: Look for "1:{...}" pattern (original format)
+                let match = signUrlText.match(/1:({.*})/);
+                if (match && match.length >= 2) {
+                    console.log("[Uploader] Found data with '1:' prefix");
+                    signUrlData = JSON.parse(match[1]);
+                } else {
+                    // Strategy 2: Look for any numbered prefix pattern like "0:{...}", "2:{...}", etc.
+                    match = signUrlText.match(/\d+:({.*})/);
+                    if (match && match.length >= 2) {
+                        console.log(`[Uploader] Found data with '${match[0].split(':')[0]}:' prefix`);
+                        signUrlData = JSON.parse(match[1]);
+                    } else {
+                        // Strategy 3: Try to parse the entire response as JSON
+                        try {
+                            signUrlData = JSON.parse(signUrlText);
+                            console.log("[Uploader] Parsed entire response as JSON");
+                        } catch (e) {
+                            // Strategy 4: Look for JSON objects in the response
+                            const jsonMatches = signUrlText.match(/{[^}]*"uploadUrl"[^}]*}/g);
+                            if (jsonMatches && jsonMatches.length > 0) {
+                                signUrlData = JSON.parse(jsonMatches[0]);
+                                console.log("[Uploader] Found JSON object containing uploadUrl");
+                            } else {
+                                throw new Error(`Could not parse signed URL response. Response: ${signUrlText}`);
+                            }
+                        }
+                    }
+                }
+
+                if (!signUrlData || !signUrlData.data || !signUrlData.data.uploadUrl) {
+                    throw new Error('Signed URL data is incomplete or invalid after parsing.');
+                }
+                const { uploadUrl, key } = signUrlData.data;
+                console.log(`[Uploader] Got signed URL. Key: ${key}`);
+
+                // Step 2: Upload file to storage
+                console.log(`[Uploader] Step 2: Uploading file to cloud storage...`);
+                const blob = base64ToBlob(file.data, file.contentType);
+                const uploadResponse = await fetch(uploadUrl, {
+                    method: 'PUT',
+                    headers: { 'Content-Type': file.contentType },
+                    body: blob,
+                    signal: abortController.signal
+                });
+                if (!uploadResponse.ok) throw new Error(`File upload failed with status ${uploadResponse.status}`);
+                console.log(`[Uploader] File uploaded successfully.`);
+
+                // Step 3: Notify LMArena of upload
+                console.log(`[Uploader] Step 3: Notifying LMArena of upload completion...`);
+                const notifyResponse = await fetch('https://lmarena.ai/?mode=direct', {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'text/plain;charset=UTF-8',
+                        'Accept': 'text/x-component',
+                        'next-action': '6022a52184b31a48befd4697f8aa5cca57a0c68dd5',
+                        'next-router-state-tree': '%5B%22%22%2C%7B%22children%22%3A%5B%5B%22locale%22%2C%22en%22%2C%22d%22%5D%2C%7B%22children%22%3A%5B%22(app)%22%2C%7B%22children%22%3A%5B%22(with-sidebar)%22%2C%7B%22children%22%3A%5B%22__PAGE__%3F%7B%5C%22mode%5C%22%3A%5C%22direct%5C%22%7D%22%2C%7B%7D%2C%22%2F%3Fmode%3Ddirect%22%2C%22refresh%22%5D%7D%2Cnull%2Cnull%5D%7D%2Cnull%2Cnull%2Ctrue%5D%7D%2Cnull%2Cnull%5D%7D%2Cnull%2Cnull%5D',
+                        'origin': 'https://lmarena.ai',
+                        'referer': 'https://lmarena.ai/'
+                    },
+                    body: JSON.stringify([key]),
+                    signal: abortController.signal
+                });
+
+                const notifyText = await notifyResponse.text();
+                console.log(`[Uploader] Notification sent. Response:`, notifyText);
+
+                // Parse the response from the notification step to get the final URL
+                const finalUrlDataLine = notifyText.split('\n').find(line => line.startsWith('1:'));
+                if (!finalUrlDataLine) throw new Error('Could not find final URL data in notification response.');
+
+                const finalUrlData = JSON.parse(finalUrlDataLine.substring(2));
+                const finalUrl = finalUrlData.data.url;
+                if (!finalUrl) throw new Error('Final URL not found in notification response data.');
+
+                console.log(`[Uploader] Extracted final GetObject URL: ${finalUrl}`);
+
+                attachments.push({
+                    name: key,
+                    contentType: file.contentType,
+                    url: finalUrl
+                });
+            }
+
+            // Step 4: Modify payload with attachments and send final request
+            console.log('[Uploader] All files uploaded. Modifying final payload...');
+            const userMessage = payload.messages.find(m => m.role === 'user');
+            if (userMessage) {
+                userMessage.experimental_attachments = attachments;
+            } else {
+                throw new Error("Could not find user message in payload to attach files to.");
+            }
+
+            console.log('[Uploader] Payload modified. Initiating final chat stream.');
+            await executeFetchAndStreamBack(requestId, payload);
+
+        } catch (error) {
+            if (error.name === 'AbortError') {
+                console.log(`[Uploader] Upload process aborted for request ${requestId}`);
+                // Don't send error back to server since client has disconnected
+            } else {
+                console.error(`[Uploader] Error during file upload process for request ${requestId}:`, error);
+                // === 添加429错误处理 ===
+                // 检查是否是429错误（可能在上传文件的任何步骤中发生）
+                if (error.message && error.message.includes('429')) {
+                    console.log(`[Uploader] 🚫 Rate limit detected during upload`);
+
+                    const existingRequests = JSON.parse(localStorage.getItem('lmarena_pending_requests') || '[]');
+                    const alreadyStored = existingRequests.some(req => req.requestId === requestId);
+
+                    if (!alreadyStored) {
+                        existingRequests.push({
+                            requestId,
+                            payload,
+                            files_to_upload: filesToUpload  // 保存文件信息！这是关键
+                        });
+                        localStorage.setItem('lmarena_pending_requests', JSON.stringify(existingRequests));
+                        console.log(`[Uploader] 💾 Stored upload request ${requestId} with ${filesToUpload.length} files for retry`);
+                    }
+
+                    handleRateLimitRefresh();
+                    return;
+                }
+                sendToServer(requestId, JSON.stringify({ error: `File upload failed: ${error.message}` }));
+                sendToServer(requestId, "[DONE]");
+            }
+        } finally {
+            // Clean up abort controller
+            activeFetchControllers.delete(requestId);
+        }
+    }
+
+    async function executeFetchAndStreamBack(requestId, payload) {
+        // Create abort controller for this request
+        const abortController = new AbortController();
+        activeFetchControllers.set(requestId, abortController);
+
+        try {
+            console.log(`[Injector] 🚀 Starting fetch for request ${requestId}`);
+
+            // Ensure authentication is ready before making request
+            await ensureAuthenticationReady(requestId);
+
+            const response = await fetch(`https://lmarena.ai${TARGET_API_PATH}`, {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'text/plain;charset=UTF-8',
+                    'Accept': '*/*',
+                    // The browser automatically adds critical headers:
+                    // Cookie, User-Agent, sec-ch-ua, etc.
+                },
+                body: JSON.stringify(payload),
+                signal: abortController.signal
+            });
+
+            // Check for rate limit (429) error first
+            if (response.status === 429) {
+                console.log(`[Injector] 🚫 Rate limit (429) detected for request ${requestId}`);
+
+                // Check if this request is already stored to prevent duplicates
+                const existingRequests = JSON.parse(localStorage.getItem('lmarena_pending_requests') || '[]');
+                const alreadyStored = existingRequests.some(req => req.requestId === requestId);
+
+                if (!alreadyStored) {
+                    existingRequests.push({
+                        requestId,
+                        payload,
+                        files_to_upload: []  // 普通请求没有文件
+                    });
+                    localStorage.setItem('lmarena_pending_requests', JSON.stringify(existingRequests));
+                    console.log(`[Injector] 💾 Stored request ${requestId} for retry after rate limit refresh`);
+                } else {
+                    console.log(`[Injector] ⚠️ Request ${requestId} already stored, skipping duplicate`);
+                }
+
+                // Trigger rate limit refresh (don't await to prevent blocking)
+                handleRateLimitRefresh();
+                return; // Function will not continue after page refresh
+            }
+
+            // Check if we got a Cloudflare challenge instead of the expected response
+            if (!response.ok || response.headers.get('content-type')?.includes('text/html')) {
+                const responseText = await response.text();
+
+                if (isCloudflareChallenge(responseText)) {
+                    console.log(`[Injector] 🛡️ Cloudflare challenge detected for request ${requestId} (Status: ${response.status})`);
+
+                    // Check if this request is already stored to prevent duplicates
+                    const existingRequests = JSON.parse(localStorage.getItem('lmarena_pending_requests') || '[]');
+                    const alreadyStored = existingRequests.some(req => req.requestId === requestId);
+
+                    if (!alreadyStored) {
+                        existingRequests.push({ requestId, payload });
+                        localStorage.setItem('lmarena_pending_requests', JSON.stringify(existingRequests));
+                        console.log(`[Injector] 💾 Stored request ${requestId} for retry after CF refresh`);
+                    } else {
+                        console.log(`[Injector] ⚠️ Request ${requestId} already stored, skipping duplicate`);
+                    }
+
+                    // Trigger automatic refresh (don't await to prevent blocking)
+                    handleCloudflareRefresh();
+                    return; // Function will not continue after page refresh
+                }
+
+                // If it's not a CF challenge, treat as regular error
+                throw new Error(`Fetch failed with status ${response.status}: ${responseText}`);
+            }
+
+            if (!response.body) {
+                throw new Error(`No response body received for request ${requestId}`);
+            }
+
+            console.log(`[Injector] 📡 Starting to stream response for request ${requestId}`);
+            const reader = response.body.getReader();
+            const decoder = new TextDecoder();
+
+            while (true) {
+                // Check if we've been aborted before reading
+                if (abortController.signal.aborted) {
+                    console.log(`[Injector] Stream aborted for request ${requestId}, cancelling reader`);
+                    await reader.cancel();
+                    break;
+                }
+
+                const { value, done } = await reader.read();
+                if (done) {
+                    console.log(`[Injector] ✅ Stream finished for request ${requestId}.`);
+                    sendToServer(requestId, "[DONE]");
+                    break;
+                }
+
+                const chunk = decoder.decode(value);
+
+                // Additional check: if we get HTML in the stream, it might be a CF challenge
+                if (chunk.includes('<html') || chunk.includes('<!DOCTYPE')) {
+                    if (isCloudflareChallenge(chunk)) {
+                        console.log(`[Injector] 🛡️ Cloudflare challenge detected in stream for request ${requestId}`);
+
+                        // Check if this request is already stored to prevent duplicates
+                        const existingRequests = JSON.parse(localStorage.getItem('lmarena_pending_requests') || '[]');
+                        const alreadyStored = existingRequests.some(req => req.requestId === requestId);
+
+                        if (!alreadyStored) {
+                            existingRequests.push({ requestId, payload });
+                            localStorage.setItem('lmarena_pending_requests', JSON.stringify(existingRequests));
+                            console.log(`[Injector] 💾 Stored request ${requestId} for retry after CF refresh (detected in stream)`);
+                        }
+
+                        // Trigger automatic refresh (don't await to prevent blocking)
+                        handleCloudflareRefresh();
+                        return;
+                    }
+                }
+
+                // Check abort signal again before sending data
+                if (abortController.signal.aborted) {
+                    console.log(`[Injector] Stream aborted for request ${requestId}, stopping data transmission`);
+                    await reader.cancel();
+                    break;
+                }
+
+                // The stream often sends multiple lines in one chunk
+                const lines = chunk.split('\n').filter(line => line.trim() !== '');
+                for (const line of lines) {
+                    // One more check before each send
+                    if (abortController.signal.aborted) {
+                        console.log(`[Injector] Aborting mid-chunk for request ${requestId}`);
+                        await reader.cancel();
+                        return; // Exit the entire function
+                    }
+                    sendToServer(requestId, line);
+                }
+            }
+
+        } catch (error) {
+            if (error.name === 'AbortError') {
+                console.log(`[Injector] Fetch aborted for request ${requestId}`);
+                // Don't send error back to server since client has disconnected
+            } else {
+                console.error(`[Injector] ❌ Error during fetch for request ${requestId}:`, error);
+                sendToServer(requestId, JSON.stringify({ error: error.message }));
+                sendToServer(requestId, "[DONE]"); // Ensure the stream is always terminated
+            }
+        } finally {
+            // Clean up abort controller
+            activeFetchControllers.delete(requestId);
+        }
+    }
+
+    function sendToServer(requestId, data) {
+        // Check if this request has been aborted
+        const controller = activeFetchControllers.get(requestId);
+        if (controller && controller.signal.aborted) {
+            console.log(`[Injector] Not sending data for aborted request ${requestId}`);
+            return;
+        }
+
+        if (socket && socket.readyState === WebSocket.OPEN) {
+            const message = {
+                request_id: requestId,
+                data: data
+            };
+            socket.send(JSON.stringify(message));
+        } else {
+            console.error("[Injector] Cannot send data, socket is not open.");
+        }
+    }
+
+    function extractModelRegistry() {
+        console.log('[Injector] 🔍 Extracting model registry from script tags...');
+
+        try {
+            const scripts = document.querySelectorAll('script');
+            let modelData = null;
+            const searchString = CONFIG.MODEL_REGISTRY.SEARCH_STRING;
+
+            for (const script of scripts) {
+                const content = script.textContent || script.innerHTML;
+                if (content.includes(searchString)) {
+                    console.log('[Injector] Found the target script tag.');
+
+                    // The entire payload is inside this one script's content.
+                    const startIndex = content.indexOf(searchString);
+                    const payloadStartIndex = startIndex + searchString.length; // Start at the first '[' after the ':'
+
+                    let balance = 1;
+                    let endIndex = -1;
+                    let inString = false;
+
+                    // Start searching from after the first bracket
+                    for (let i = payloadStartIndex + 1; i < content.length; i++) {
+                        const char = content[i];
+                        const prevChar = content[i-1];
+
+                        // Toggle inString state if we encounter a quote that is not escaped
+                        if (char === '"' && prevChar !== '\\') {
+                            inString = !inString;
+                        }
+
+                        // Only count brackets if we're not inside a string
+                        if (!inString) {
+                            if (char === '[') {
+                                balance++;
+                            } else if (char === ']') {
+                                balance--;
+                            }
+                        }
+
+                        // If balance is zero, we've found the end of our JSON object
+                        if (balance === 0) {
+                            endIndex = i + 1;
+                            break;
+                        }
+                    }
+
+                    if (endIndex === -1) {
+                        console.error('[Injector] Could not find the end of the JSON payload using bracket counting.');
+                        continue;
+                    }
+
+                    const rawPayload = content.substring(payloadStartIndex, endIndex);
+                    const jsonString = rawPayload.replace(/\\"/g, '"').replace(/\\\\/g, '\\');
+
+                    console.log('[Injector] Payload extracted via bracket counting. Parsing JSON...');
+                    const parsedData = JSON.parse(jsonString);
+
+                    function findAllInitialStates(obj) {
+                        let allModels = [];
+                        function search(currentObj) {
+                            if (!currentObj || typeof currentObj !== 'object') return;
+                            if (currentObj.hasOwnProperty('initialState') && Array.isArray(currentObj.initialState)) {
+                                if (currentObj.initialState.length > 0 && currentObj.initialState[0] && currentObj.initialState[0].publicName) {
+                                    allModels = allModels.concat(currentObj.initialState);
+                                }
+                            }
+                            for (const key in currentObj) {
+                                if (currentObj.hasOwnProperty(key)) search(currentObj[key]);
+                            }
+                        }
+                        search(obj);
+                        return allModels;
+                    }
+
+                    modelData = findAllInitialStates(parsedData);
+                    if (modelData && modelData.length > 0) {
+                        console.log(`[Injector] Successfully aggregated ${modelData.length} models.`);
+                        break; // Exit after processing the correct script
+                    }
+                }
+            }
+
+            if (!modelData || modelData.length === 0) {
+                console.warn('[Injector] Model extraction failed.');
+                return null;
+            }
+
+            const registry = {};
+            modelData.forEach(model => {
+                if (!model || typeof model !== 'object' || !model.publicName) return;
+                if (registry[model.publicName]) return;
+
+                let type = 'chat';
+                if (model.capabilities && model.capabilities.outputCapabilities) {
+                    if (model.capabilities.outputCapabilities.image) type = 'image';
+                    else if (model.capabilities.outputCapabilities.video) type = 'video';
+                }
+
+                registry[model.publicName] = { type: type, ...model };
+            });
+
+            console.log(`[Injector] ✅ Extracted ${Object.keys(registry).length} unique models.`);
+            return registry;
+
+        } catch (error) {
+            console.error('[Injector] ❌ Error extracting model registry:', error);
+            return null;
+        }
+    }
+
+    function sendReconnectionHandshake() {
+        if (!socket || socket.readyState !== WebSocket.OPEN) {
+            console.log('[Injector] ⚠️ WebSocket not ready, cannot send reconnection handshake');
+            return;
+        }
+
+        // Get pending request IDs from localStorage
+        const storedRequests = localStorage.getItem('lmarena_pending_requests');
+        let pendingRequestIds = [];
+
+        if (storedRequests) {
+            try {
+                const requests = JSON.parse(storedRequests);
+                pendingRequestIds = requests.map(req => req.requestId);
+                console.log(`[Injector] 🤝 Sending reconnection handshake with ${pendingRequestIds.length} pending requests`);
+            } catch (error) {
+                console.error("[Injector] Error parsing stored requests for handshake:", error);
+            }
+        }
+
+        const handshakeMessage = {
+            type: 'reconnection_handshake',
+            pending_request_ids: pendingRequestIds,
+            timestamp: Date.now()
+        };
+
+        socket.send(JSON.stringify(handshakeMessage));
+        console.log(`[Injector] 📤 Sent reconnection handshake`);
+    }
+
+    function sendModelRegistry() {
+        if (!socket || socket.readyState !== WebSocket.OPEN) {
+            console.log('[Injector] ⚠️ WebSocket not ready, cannot send model registry');
+            return;
+        }
+
+        const models = extractModelRegistry();
+
+        if (models && Object.keys(models).length > 0) {
+            const message = {
+                type: 'model_registry',
+                models: models
+            };
+
+            socket.send(JSON.stringify(message));
+            console.log(`[Injector] 📤 Sent model registry with ${Object.keys(models).length} models`);
+        } else {
+            console.warn('[Injector] ⚠️ No models extracted, not sending registry');
+        }
+    }
+
+    // --- Start the connection ---
+    connect();
+
+    // Also try to send model registry when page loads
+    if (document.readyState === 'loading') {
+        document.addEventListener('DOMContentLoaded', () => {
+            setTimeout(sendModelRegistry, 3000);
+        });
+    } else {
+        setTimeout(sendModelRegistry, 3000);
+    }
+
+})();

samples/sample.txt

@@ -0,0 +1,303 @@
+                            return '' !== e
+                          })),
+                          Y(
+                            e.attributes,
+                            function (i) {
+                              var r;
+                              if (
+                                (
+                                  !e2(e) ||
+                                  - 1 !== ['name',
+                                  'id',
+                                  'class',
+                                  'aria-label'].indexOf(i.name)
+                                ) &&
+                                (null == s || !s.includes(i.name)) &&
+                                !t &&
+                                e9(i.value) &&
+                                (
+                                  !T(r = i.name) ||
+                                  '_ngcontent' !== r.substring(0, 10) &&
+                                  '_nghost' !== r.substring(0, 7)
+                                )
+                              ) {
+                                var o = i.value;
+                                'class' === i.name &&
+                                (o = eG(o).join(' ')),
+                                n['attr__' + i.name] = tu(1024, o)
+                              }
+                            }
+                          );
+                          for (
+                            var a = 1,
+                            l = 1,
+                            c = e;
+                            c = function (e) {
+                              if (e.previousElementSibling) return e.previousElementSibling;
+                              var t = e;
+                              do t = t.previousSibling;
+                              while (t && !ez(t));
+                              return t
+                            }(c);
+                          ) a++,
+                          c.tagName === e.tagName &&
+                          l++;
+                          return n.nth_child = a,
+                          n.nth_of_type = l,
+                          n
+                        }(e, o, a, l)
+                      ),
+                      K(
+                        p,
+                        function (e) {
+                          if (!e1(e)) return {
+                          };
+                          var t = {};
+                          return Y(
+                            e.attributes,
+                            function (e) {
+                              if (e.name && 0 === e.name.indexOf('data-ph-capture-attribute')) {
+                                var i = e.name.replace('data-ph-capture-attribute-', ''),
+                                s = e.value;
+                                i &&
+                                s &&
+                                e9(s) &&
+                                (t[i] = s)
+                              }
+                            }
+                          ),
+                          t
+                        }(e)
+                      )
+                    }
+                  ),
+                  f
+                ) return {
+                  props: {
+                  },
+                  explicitNoCapture: f
+                };
+                if (
+                  a ||
+                  (
+                    'a' === e.tagName.toLowerCase() ||
+                    'button' === e.tagName.toLowerCase() ? _[0].$el_text = te(e) : _[0].$el_text = eX(e)
+                  ),
+                  g
+                ) {
+                  _[0].attr__href = g;
+                  var v,
+                  m,
+                  y = null == (v = tr(g)) ? void 0 : v.host,
+                  w = null == r ||
+                  null == (m = r.location) ? void 0 : m.host;
+                  y &&
+                  w &&
+                  y !== w &&
+                  (h = g)
+                }
+                return {
+                  props: K({
+                    $event_type: n.type,
+                    $ce_version: 1
+                  }, c ? {
+                  }
+                   : {
+                    $elements: _
+                  }, {
+                    $elements_chain: _.map(
+                      e => {
+                        var t,
+                        i,
+                        s,
+                        r = {
+                          text: null == (i = e.$el_text) ? void 0 : i.slice(0, 400),
+                          tag_name: e.tag_name,
+                          href: null == (s = e.attr__href) ? void 0 : s.slice(0, 2048),
+                          attr_class: (t = e.attr__class) ? P(t) ? t : eG(t) : void 0,
+                          attr_id: e.attr__id,
+                          nth_child: e.nth_child,
+                          nth_of_type: e.nth_of_type,
+                          attributes: {
+                          }
+                        };
+                        return Q(e).filter(e => {
+                          var [t] = e;
+                          return 0 === t.indexOf('attr__')
+                        }).forEach(e => {
+                          var [t,
+                          i] = e;
+                          return r.attributes[t] = i
+                        }),
+                        r
+                      }
+                    ).map(
+                      e => {
+                        var t,
+                        i,
+                        s = '';
+                        if (e.tag_name && (s += e.tag_name), e.attr_class) for (var r of (e.attr_class.sort(), e.attr_class)) s += '.'.concat(r.replace(/"/g, ''));
+                        var n = j(
+                          j(
+                            j(
+                              j({
+                              }, e.text ? {
+                                text: e.text
+                              }
+                               : {
+                              }),
+                              {
+                              },
+                              {
+                                'nth-child': null != (t = e.nth_child) ? t : 0,
+                                'nth-of-type': null != (i = e.nth_of_type) ? i : 0
+                              },
+                              e.href ? {
+                                href: e.href
+                              }
+                               : {
+                              }
+                            ),
+                            e.attr_id ? {
+                              attr_id: e.attr_id
+                            }
+                             : {
+                            }
+                          ),
+                          e.attributes
+                        ),
+                        o = {};
+                        return Q(n).sort((e, t) => {
+                          var [i] = e,
+                          [
+                            s
+                          ] = t;
+                          return i.localeCompare(s)
+                        }).forEach(e => {
+                          var [t,
+                          i] = e;
+                          return o[tt(t.toString())] = tt(i.toString())
+                        }),
+                        s += ':',
+                        s += Q(n).map(e => {
+                          var [t,
+                          i] = e;
+                          return ''.concat(t, '="').concat(i, '"')
+                        }).join('')
+                      }
+                    ).join(';')
+                  }, null != (i = _[0]) && i.$el_text ? {
+                    $el_text: null == (s = _[0]) ? void 0 : s.$el_text
+                  }
+                   : {
+                  }, h && 'click' === n.type ? {
+                    $external_click_url: h
+                  }
+                   : {
+                  }, p)
+                }
+              }(
+                s,
+                {
+                  e: e,
+                  maskAllElementAttributes: this.instance.config.mask_all_element_attributes,
+                  maskAllText: this.instance.config.mask_all_text,
+                  elementAttributeIgnoreList: this.config.element_attribute_ignorelist,
+                  elementsChainAsString: this._elementsChainAsString
+                }
+              );
+              if (a) return !1;
+              var l = this.getElementSelectors(s);
+              if (l && l.length > 0 && (o.$element_selectors = l), t === m) {
+                var c,
+                u = eK(null == r || null == (c = r.getSelection()) ? void 0 : c.toString()),
+                d = e.type ||
+                'clipboard';
+                if (!u) return !1;
+                o.$selected_content = u,
+                o.$copy_type = d
+              }
+              return this.instance.capture(t, o),
+              !0
+            }
+          }
+        }
+        isBrowserSupported() {
+          return C(null == u ? void 0 : u.querySelectorAll)
+        }
+      }
+      Math.trunc ||
+      (Math.trunc = function (e) {
+        return e < 0 ? Math.ceil(e) : Math.floor(e)
+      }),
+      Number.isInteger ||
+      (
+        Number.isInteger = function (e) {
+          return M(e) &&
+          isFinite(e) &&
+          Math.floor(e) === e
+        }
+      );
+      var th = '0123456789abcdef';
+      class t_ {
+        constructor(e) {
+          if (this.bytes = e, 16 !== e.length) throw TypeError('not 128-bit length')
+        }
+        static fromFieldsV7(e, t, i, s) {
+          if (
+            !Number.isInteger(e) ||
+            !Number.isInteger(t) ||
+            !Number.isInteger(i) ||
+            !Number.isInteger(s) ||
+            e < 0 ||
+            t < 0 ||
+            i < 0 ||
+            s < 0 ||
+            e > 281474976710655 ||
+            t > 4095 ||
+            i > 1073741823 ||
+            s > 4294967295
+          ) throw RangeError('invalid field value');
+          var r = new Uint8Array(16);
+          return r[0] = e / 1099511627776,
+          r[1] = e / 4294967296,
+          r[2] = e / 16777216,
+          r[3] = e / 65536,
+          r[4] = e / 256,
+          r[5] = e,
+          r[6] = 112 | t >>> 8,
+          r[7] = t,
+          r[8] = 128 | i >>> 24,
+          r[9] = i >>> 16,
+          r[10] = i >>> 8,
+          r[11] = i,
+          r[12] = s >>> 24,
+          r[13] = s >>> 16,
+          r[14] = s >>> 8,
+          r[15] = s,
+          new t_(r)
+        }
+        toString() {
+          for (var e = '', t = 0; t < this.bytes.length; t++) e = e + th.charAt(this.bytes[t] >>> 4) + th.charAt(15 & this.bytes[t]),
+          3 !== t &&
+          5 !== t &&
+          7 !== t &&
+          9 !== t ||
+          (e += '-');
+          if (36 !== e.length) throw Error('Invalid UUIDv7 was generated');
+          return e
+        }
+        clone() {
+          return new t_(this.bytes.slice(0))
+        }
+        equals(e) {
+          return 0 === this.compareTo(e)
+        }
+        compareTo(e) {
+          for (var t = 0; t < 16; t++) {
+            var i = this.bytes[t] - e.bytes[t];
+            if (0 !== i) return Math.sign(i)
+          }
+          return 0
+        }
+      }

samples/script.js

@@ -0,0 +1,1467 @@
+// ==UserScript==
+// @name         LMArena Proxy Injector
+// @namespace    https://github.com/zhongruichen/lmarena-proxy
+// @version      1.1.0
+// @description  A powerful injector script for LMArena reverse proxy, enabling OpenAI-compatible API access.
+// @author       zhongruichen
+// @match        https://*.lmarena.ai/*
+// @icon         https://www.google.com/s2/favicons?sz=64&domain=lmarena.ai
+// @grant        none
+// @run-at       document-start
+// @all-frames   true
+// @updateURL    https://raw.githubusercontent.com/zhongruichen/lmarena-proxy/main/lmarena_injector.user.js
+// @downloadURL  https://raw.githubusercontent.com/zhongruichen/lmarena-proxy/main/lmarena_injector.user.js
+// ==/UserScript==
+(function () {
+    'use strict';
+
+    // --- CONFIGURATION ---
+    // 如果你的代理服务器不在本机运行，请修改此处的 IP 地址。
+    const CONFIG = {
+        SERVER_URL: "ws://localhost:9080/ws",
+    };
+
+    // --- Constants ---
+    const TARGET_API_PATH = "/api/stream/create-evaluation";
+    const REQUIRED_COOKIE = "arena-auth-prod-v1";
+
+    // --- State ---
+    let socket;
+    let isRefreshing = false;
+    let pendingRequests = [];
+    let modelRegistrySent = false;
+    let latestTurnstileToken = null;
+
+    // Track active fetch requests for abort capability
+    const activeFetchControllers = new Map(); // requestId -> AbortController
+
+    // --- Human-like Click Simulation ---
+    function simulateHumanClick() {
+        // Get viewport dimensions
+        const viewportWidth = window.innerWidth;
+        const viewportHeight = window.innerHeight;
+
+        // Calculate center area with some randomness (within 10% of center)
+        const centerX = viewportWidth / 2;
+        const centerY = viewportHeight / 2;
+        const randomOffsetX = (Math.random() - 0.5) * (viewportWidth * 0.1);
+        const randomOffsetY = (Math.random() - 0.5) * (viewportHeight * 0.1);
+
+        const clickX = Math.round(centerX + randomOffsetX);
+        const clickY = Math.round(centerY + randomOffsetY);
+
+        // Ensure click is within viewport bounds
+        const finalX = Math.max(10, Math.min(viewportWidth - 10, clickX));
+        const finalY = Math.max(10, Math.min(viewportHeight - 10, clickY));
+
+        console.log(`[Auth] 🖱️ Simulating human-like click at (${finalX}, ${finalY})`);
+
+        // Create and dispatch mouse events to simulate human interaction
+        const target = document.elementFromPoint(finalX, finalY) || document.body;
+
+        // Simulate mouse down, up, and click with slight delays
+        const mouseDown = new MouseEvent('mousedown', {
+            bubbles: true,
+            cancelable: true,
+            clientX: finalX,
+            clientY: finalY,
+            button: 0
+        });
+
+        const mouseUp = new MouseEvent('mouseup', {
+            bubbles: true,
+            cancelable: true,
+            clientX: finalX,
+            clientY: finalY,
+            button: 0
+        });
+
+        const click = new MouseEvent('click', {
+            bubbles: true,
+            cancelable: true,
+            clientX: finalX,
+            clientY: finalY,
+            button: 0
+        });
+
+        // Dispatch events with human-like timing
+        target.dispatchEvent(mouseDown);
+        setTimeout(() => {
+            target.dispatchEvent(mouseUp);
+            setTimeout(() => {
+                target.dispatchEvent(click);
+            }, Math.random() * 20 + 10); // 10-30ms delay
+        }, Math.random() * 50 + 50); // 50-100ms delay
+    }
+
+    // --- Turnstile Token Capture (Stealth Integration) ---
+    console.log('[Auth] Setting up Turnstile token capture...');
+
+    // Store the original native function
+    const originalCreateElement = document.createElement;
+
+    // Overwrite the function with our temporary trap
+    document.createElement = function(...args) {
+        // Run the original function to create the element
+        const element = originalCreateElement.apply(this, args);
+
+        // Only interested in SCRIPT tags
+        if (element.tagName === 'SCRIPT') {
+            // Use a different approach - override setAttribute instead of src property
+            const originalSetAttribute = element.setAttribute;
+            element.setAttribute = function(name, value) {
+                // Call the original setAttribute first
+                originalSetAttribute.call(this, name, value);
+
+                // If it's setting the src attribute and it's the turnstile script
+                if (name === 'src' && value && value.includes('challenges.cloudflare.com/turnstile')) {
+                    console.log('[Auth] Turnstile SCRIPT tag found! Adding load listener.');
+
+                    // Add our 'load' event listener to hook the object AFTER execution
+                    element.addEventListener('load', function() {
+                        console.log('[Auth] Turnstile script has loaded. Now safe to hook turnstile.render().');
+                        if (window.turnstile) {
+                            hookTurnstileRender(window.turnstile);
+                        }
+                    });
+
+                    // --- THIS IS THE CRITICAL STEP ---
+                    // We have found our target, so we restore the original function immediately.
+                    console.log('[Auth] Trap is no longer needed. Restoring original document.createElement.');
+                    document.createElement = originalCreateElement;
+                }
+            };
+        }
+        return element;
+    };
+
+    function hookTurnstileRender(turnstile) {
+        const originalRender = turnstile.render;
+        turnstile.render = function(container, params) {
+            console.log('[Auth] Intercepted turnstile.render() call.');
+            const originalCallback = params.callback;
+            params.callback = (token) => {
+                handleTurnstileToken(token);
+                if (originalCallback) return originalCallback(token);
+            };
+            return originalRender(container, params);
+        };
+    }
+
+    function handleTurnstileToken(token) {
+        latestTurnstileToken = token;
+        const message = `✅ Cloudflare Turnstile Token Captured: ${token}`;
+        console.log('%c' + message, 'color: #28a745; font-weight: bold;');
+
+        console.log('[Auth] Fresh Turnstile token captured and ready for use.');
+    }
+
+    // Define the Turnstile onload callback function globally
+    window.onloadTurnstileCallback = function() {
+        console.log('[Auth] 🎯 Turnstile onload callback triggered');
+        if (window.turnstile) {
+            console.log('[Auth] 🔧 Turnstile object available, setting up hooks...');
+            hookTurnstileRender(window.turnstile);
+
+            // Create a hidden Turnstile widget to generate a token
+            setTimeout(() => {
+                createHiddenTurnstileWidget();
+            }, 1000); // Wait a bit for hooks to be fully set up
+        } else {
+            console.warn('[Auth] ⚠️ Turnstile object not available in onload callback');
+        }
+    };
+
+    function extractTurnstileSitekey() {
+        // Use known LMArena sitekey directly
+        const sitekey = '0x4AAAAAAA65vWDmG-O_lPtT';
+        console.log('[Auth] 🔑 Using LMArena sitekey:', sitekey);
+        return sitekey;
+    }
+
+    function createHiddenTurnstileWidget() {
+        try {
+            console.log('[Auth] 🎯 Creating hidden Turnstile widget to generate token...');
+
+            // Extract the correct sitekey from the page
+            const sitekey = extractTurnstileSitekey();
+            if (!sitekey) {
+                console.error('[Auth] ❌ Cannot create Turnstile widget: no sitekey found');
+                return;
+            }
+
+            // Create a hidden container for the Turnstile widget
+            const container = document.createElement('div');
+            container.id = 'hidden-turnstile-widget';
+            container.style.position = 'absolute';
+            container.style.left = '-9999px';
+            container.style.top = '-9999px';
+            container.style.width = '300px';
+            container.style.height = '65px';
+            container.style.visibility = 'hidden';
+            container.style.opacity = '0';
+            container.style.pointerEvents = 'none';
+
+            document.body.appendChild(container);
+
+            // Render the Turnstile widget
+            if (window.turnstile && window.turnstile.render) {
+                const widgetId = window.turnstile.render(container, {
+                    sitekey: sitekey,
+                    callback: function(token) {
+                        console.log('[Auth] 🎉 Hidden Turnstile widget generated token!');
+                        handleTurnstileToken(token);
+                    },
+                    'error-callback': function(error) {
+                        console.warn('[Auth] ⚠️ Hidden Turnstile widget error:', error);
+                    },
+                    'expired-callback': function() {
+                        console.log('[Auth] ⏰ Hidden Turnstile token expired, creating new widget...');
+                        // Remove old widget and create new one
+                        const oldContainer = document.getElementById('hidden-turnstile-widget');
+                        if (oldContainer) {
+                            oldContainer.remove();
+                        }
+                        setTimeout(createHiddenTurnstileWidget, 1000);
+                    },
+                    theme: 'light',
+                    size: 'normal'
+                });
+
+                console.log('[Auth] ✅ Hidden Turnstile widget created with ID:', widgetId);
+            } else {
+                console.error('[Auth] ❌ Turnstile render function not available');
+            }
+        } catch (error) {
+            console.error('[Auth] ❌ Error creating hidden Turnstile widget:', error);
+        }
+    }
+
+    // Consolidated authentication helper functions
+    async function initializeTurnstileIfNeeded() {
+        console.log("[Auth] 🔧 Initializing Turnstile API if needed...");
+
+        try {
+            const script = document.createElement('script');
+            script.src = 'https://challenges.cloudflare.com/turnstile/v0/api.js?onload=onloadTurnstileCallback&render=explicit';
+            script.async = true;
+            script.defer = true;
+
+            script.onload = () => {
+                console.log("[Auth] ✅ Turnstile API script loaded successfully");
+            };
+            script.onerror = (error) => {
+                console.warn("[Auth] ⚠️ Failed to load Turnstile API script:", error);
+            };
+
+            document.head.appendChild(script);
+            console.log("[Auth] ✅ Turnstile API script injection initiated");
+
+            // Schedule a human-like click 3 seconds after script injection to avoid bot detection
+            setTimeout(() => {
+                simulateHumanClick();
+            }, 3000 + Math.random() * 1000); // 3-4 seconds with randomness
+        } catch (error) {
+            console.warn("[Auth] ⚠️ Failed to initialize Turnstile API:", error.message);
+            throw error;
+        }
+    }
+
+    async function ensureAuthenticationReady(requestId) {
+        console.log(`[Auth] 🔐 Ensuring authentication is ready for request ${requestId}...`);
+
+        // Check for required authentication cookie first
+        if (!checkAuthCookie()) {
+            console.log(`[Auth] ⚠️ Missing auth cookie for request ${requestId}, initiating auth flow...`);
+
+            // Check if we have stored auth data first
+            let authData = getStoredAuthData();
+
+            if (!authData) {
+                // No valid stored auth, need to authenticate
+                // But first, double-check if auth cookie became available
+                if (checkAuthCookie()) {
+                    console.log(`[Auth] ✅ Auth cookie became available during auth check for request ${requestId} - skipping authentication`);
+                    return; // Auth cookie is now available, no need to authenticate
+                }
+
+                let turnstileToken = latestTurnstileToken;
+
+                if (!turnstileToken) {
+                    console.log(`[Auth] ⏳ No Turnstile token available yet for request ${requestId}, initializing Turnstile API...`);
+
+                    // Initialize Turnstile API if no token is available
+                    await initializeTurnstileIfNeeded();
+
+                    console.log(`[Auth] ⏳ Waiting for Turnstile token for request ${requestId}...`);
+                    turnstileToken = await waitForTurnstileToken();
+
+                    if (turnstileToken === 'auth_cookie_available') {
+                        console.log(`[Auth] ✅ Auth cookie became available during wait for request ${requestId} - skipping authentication`);
+                        return; // Auth cookie is now available, no need to authenticate
+                    }
+
+                    if (!turnstileToken) {
+                        throw new Error("Authentication required: Turnstile token not generated within timeout. Please refresh the page.");
+                    }
+                }
+
+                console.log(`[Auth] 🔑 Have Turnstile token for request ${requestId}, performing authentication...`);
+                authData = await performAuthentication(turnstileToken);
+            }
+
+            console.log(`[Auth] ✅ Authentication complete for request ${requestId}`);
+        } else {
+            console.log(`[Auth] ✅ Auth cookie already present for request ${requestId}`);
+        }
+    }
+
+    function getCookie(name) {
+        const value = `; ${document.cookie}`;
+        const parts = value.split(`; ${name}=`);
+        if (parts.length === 2) return parts.pop().split(';').shift();
+        return null;
+    }
+
+    function checkAuthCookie() {
+        const authCookie = getCookie(REQUIRED_COOKIE);
+        if (authCookie) {
+            console.log(`[Auth] ✅ Found required cookie: ${REQUIRED_COOKIE}`);
+            return true;
+        } else {
+            console.log(`[Auth] ❌ Missing required cookie: ${REQUIRED_COOKIE}`);
+            return false;
+        }
+    }
+
+    async function waitForTurnstileToken(maxWaitTime = 60000) {
+        console.log(`[Auth] ⏳ Waiting for Turnstile token to be generated...`);
+
+        const checkInterval = 1000; // Check every 1 second
+        let waitTime = 0;
+
+        while (waitTime < maxWaitTime) {
+            // Check if auth cookie became available - if so, no need to wait for Turnstile token
+            if (checkAuthCookie()) {
+                console.log(`[Auth] ✅ Auth cookie became available during Turnstile wait after ${waitTime}ms - skipping token wait`);
+                return 'auth_cookie_available';
+            }
+
+            if (latestTurnstileToken) {
+                console.log(`[Auth] ✅ Turnstile token available after ${waitTime}ms`);
+                return latestTurnstileToken;
+            }
+
+            console.log(`[Auth] ⏳ Still waiting for Turnstile token or auth cookie... (${waitTime}ms elapsed)`);
+            await new Promise(resolve => setTimeout(resolve, checkInterval));
+            waitTime += checkInterval;
+        }
+
+        console.warn(`[Auth] ⚠️ Turnstile token wait timeout after ${maxWaitTime}ms`);
+        return null;
+    }
+
+    async function performAuthentication(turnstileToken) {
+        console.log(`[Auth] 🔐 Starting authentication process with Turnstile token...`);
+
+        try {
+            // Step 1: Get JWT token from sign-up endpoint
+            const authResponse = await fetch('https://lmarena.ai/api/sign-up', {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'text/plain;charset=UTF-8',
+                    'Accept': '*/*',
+                    // The browser automatically adds critical headers:
+                    // Cookie, User-Agent, Accept-Language, sec-ch-ua, etc.
+                },
+                body: JSON.stringify({
+                    turnstile_token: turnstileToken
+                })
+            });
+
+            if (!authResponse.ok) {
+                throw new Error(`Authentication request failed with status ${authResponse.status}`);
+            }
+
+            const authData = await authResponse.json();
+            console.log(`[Auth] ✅ Step 1: Received JWT token from sign-up.`);
+
+            // Step 2: Create and set the auth cookie
+            const cookieValue = `base64-${btoa(JSON.stringify(authData))}`;
+            document.cookie = `${REQUIRED_COOKIE}=${cookieValue}; path=/; domain=.lmarena.ai; secure; samesite=lax`;
+            console.log(`[Auth] ✅ Step 2: Set auth cookie in browser.`);
+
+            // Step 3: Make verification request to complete authentication
+            const verifyResponse = await fetch('https://lmarena.ai/', {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'text/plain;charset=UTF-8',
+                    'Accept': 'text/x-component',
+                    'next-action': '40fc0d1f8f1f9cade86c05d74881beb408c1fbf3c4',
+                    'next-router-state-tree': '%5B%22%22%2C%7B%22children%22%3A%5B%5B%22locale%22%2C%22en%22%2C%22d%22%5D%2C%7B%22children%22%3A%5B%22(app)%22%2C%7B%22children%22%3A%5B%22(with-sidebar)%22%2C%7B%22children%22%3A%5B%22__PAGE__%22%2C%7B%7D%2C%22%2F%22%2C%22refresh%22%5D%7D%5D%7D%2Cnull%2Cnull%2Ctrue%5D%7D%5D%7D%5D',
+                    'x-deployment-id': 'dpl_55LQ8Z7ygwa1s99pJVeED1iU2jvW',
+                    // The browser automatically adds critical headers including the new auth cookie
+                },
+                body: JSON.stringify([])
+            });
+
+            if (!verifyResponse.ok) {
+                throw new Error(`Authentication verification failed with status ${verifyResponse.status}`);
+            }
+
+            const verifyText = await verifyResponse.text();
+            console.log(`[Auth] ✅ Step 3: Authentication verification completed.`);
+            console.log(`[Auth] Verification response:`, verifyText);
+
+            // Store the authentication data
+            localStorage.setItem('lmarena_auth_data', JSON.stringify(authData));
+            localStorage.setItem('lmarena_auth_timestamp', Date.now().toString());
+
+            console.log(`[Auth] 💾 Stored authentication data. Token expires at: ${new Date(authData.expires_at * 1000).toISOString()}`);
+            console.log(`[Auth] 🎉 Complete authentication flow finished successfully!`);
+
+            return authData;
+
+        } catch (error) {
+            console.error(`[Auth] ❌ Authentication failed:`, error);
+            throw error;
+        }
+    }
+
+    function getStoredAuthData() {
+        const authData = localStorage.getItem('lmarena_auth_data');
+        const timestamp = localStorage.getItem('lmarena_auth_timestamp');
+
+        if (authData && timestamp) {
+            try {
+                const parsedAuthData = JSON.parse(authData);
+                const currentTime = Math.floor(Date.now() / 1000); // Current time in seconds
+
+                // Check if token is still valid (with 5 minute buffer)
+                if (parsedAuthData.expires_at && (parsedAuthData.expires_at - 300) > currentTime) {
+                    const remainingTime = parsedAuthData.expires_at - currentTime;
+                    console.log(`[Auth] Using stored auth data (expires in ${Math.round(remainingTime/60)} minutes)`);
+                    return parsedAuthData;
+                } else {
+                    console.log(`[Auth] Stored auth data expired, removing...`);
+                    localStorage.removeItem('lmarena_auth_data');
+                    localStorage.removeItem('lmarena_auth_timestamp');
+                }
+            } catch (error) {
+                console.error(`[Auth] Error parsing stored auth data:`, error);
+                localStorage.removeItem('lmarena_auth_data');
+                localStorage.removeItem('lmarena_auth_timestamp');
+            }
+        }
+        return null;
+    }
+
+    async function waitForCloudflareAuth() {
+        console.log("[Injector] ⏳ Waiting for Cloudflare authentication to complete...");
+
+        const maxWaitTime = 45000; // 45 seconds max wait (increased for slow CF challenges)
+        const checkInterval = 500; // Check every 0.5 seconds (faster since we're not making network requests)
+        let waitTime = 0;
+
+        while (waitTime < maxWaitTime) {
+            try {
+                // Check the current page DOM for CF challenge indicators
+                if (!isCurrentPageCloudflareChallenge()) {
+                    console.log(`[Injector] ✅ Cloudflare authentication completed after ${waitTime}ms`);
+                    return true;
+                }
+
+                console.log(`[Injector] ⏳ Still waiting for CF auth... (${waitTime}ms elapsed)`);
+
+            } catch (error) {
+                console.log(`[Injector] ⏳ CF auth check failed, continuing to wait... (${waitTime}ms elapsed) - ${error.message}`);
+            }
+
+            await new Promise(resolve => setTimeout(resolve, checkInterval));
+            waitTime += checkInterval;
+        }
+
+        console.warn(`[Injector] ⚠️ CF authentication wait timeout after ${maxWaitTime}ms`);
+        return false;
+    }
+
+    async function processPendingRequests() {
+        // Retrieve pending requests from localStorage (survives page refresh)
+        const storedRequests = localStorage.getItem('lmarena_pending_requests');
+        if (!storedRequests) {
+            console.log("[Injector] 📭 No pending requests found, skipping processing");
+            return;
+        }
+
+        try {
+            const requests = JSON.parse(storedRequests);
+            if (!requests || requests.length === 0) {
+                console.log("[Injector] 📭 No pending requests in storage, cleaning up");
+                localStorage.removeItem('lmarena_pending_requests');
+                return;
+            }
+
+            console.log(`[Injector] 🔄 Found ${requests.length} pending requests after refresh`);
+
+                // CRITICAL: Wait for CF authentication to complete before processing requests
+                console.log("[Injector] ⏳ Waiting for Cloudflare authentication to complete before processing requests...");
+                const authComplete = await waitForCloudflareAuth();
+
+                if (!authComplete) {
+                    console.error("[Injector] ❌ CF authentication timeout - requests may fail");
+                    console.log("[Injector] 🔍 CF auth failed, but NOT triggering refresh - only refreshing on actual 429/CF challenge");
+                    // Don't process requests if CF auth failed
+                    return;
+                }
+
+                console.log("[Injector] ✅ Cloudflare authentication completed, proceeding with requests");
+
+                // Wait a bit more for the page to fully stabilize after CF auth
+                await new Promise(resolve => setTimeout(resolve, 2000));
+
+                // ENHANCED: Wait for either Turnstile token OR auth cookie to become available
+                console.log("[Injector] ⏳ Waiting for either Turnstile token or auth cookie to become available...");
+                const maxWaitTime = 60000; // 60 seconds max wait
+                const checkInterval = 1000; // Check every 1 second
+                let waitTime = 0;
+                let authReady = false;
+                let turnstileInitialized = false;
+
+                while (waitTime < maxWaitTime && !authReady) {
+                    // PRIORITY 1: Check if auth cookie already exists - if so, we're done!
+                    if (checkAuthCookie()) {
+                        console.log("[Injector] 🎉 Auth cookie found after refresh, ready to proceed!");
+                        authReady = true;
+                        break;
+                    }
+
+                    // PRIORITY 2: Only check for Turnstile token if we don't have auth cookie
+                    if (latestTurnstileToken) {
+                        console.log("[Injector] ✅ Turnstile token available, ready to proceed!");
+                        authReady = true;
+                        break;
+                    }
+
+                    // PRIORITY 3: Only initialize Turnstile if we don't have auth cookie and no token yet
+                    if (!turnstileInitialized && waitTime > 2000) { // Wait 2 seconds before initializing
+                        // Double-check auth cookie before initializing Turnstile
+                        if (checkAuthCookie()) {
+                            console.log("[Injector] 🎉 Auth cookie became available before Turnstile init, skipping!");
+                            authReady = true;
+                            break;
+                        }
+
+                        console.log("[Injector] 🔧 No auth cookie or Turnstile token found, initializing Turnstile API...");
+                        try {
+                            await initializeTurnstileIfNeeded();
+                            turnstileInitialized = true;
+
+                            // Check auth cookie again after Turnstile init in case it became available
+                            if (checkAuthCookie()) {
+                                console.log("[Injector] 🎉 Auth cookie became available during Turnstile init!");
+                                authReady = true;
+                                break;
+                            }
+                        } catch (error) {
+                            console.warn("[Injector] ⚠️ Failed to initialize Turnstile API:", error.message);
+                            turnstileInitialized = true; // Don't retry
+                        }
+                    }
+
+                    console.log(`[Injector] ⏳ Still waiting for auth cookie or Turnstile token... (${waitTime}ms elapsed)`);
+                    await new Promise(resolve => setTimeout(resolve, checkInterval));
+                    waitTime += checkInterval;
+                }
+
+                if (!authReady) {
+                    console.log("[Injector] ⚠️ Neither auth cookie nor Turnstile token became available within timeout, proceeding anyway");
+                }
+
+                // Wait for the reconnection handshake to complete
+                await new Promise(resolve => setTimeout(resolve, 1000));
+
+                // Clear the stored requests to prevent duplicate processing
+                localStorage.removeItem('lmarena_pending_requests');
+
+                // Process each pending request
+                for (let i = 0; i < requests.length; i++) {
+                    const request = requests[i];
+                    const { requestId, payload, files_to_upload } = request;
+                    console.log(`[Injector] 🔄 Retrying request ${requestId} after refresh (${i + 1}/${requests.length})`);
+
+                    // Add a small delay between requests to avoid overwhelming the server
+                    if (i > 0) {
+                        await new Promise(resolve => setTimeout(resolve, 500));
+                    }
+
+                    try {
+                        // Check if this is an upload request or regular request
+                        if (files_to_upload && files_to_upload.length > 0) {
+                            console.log(`[Injector] 🔄 Retrying upload request ${requestId} with ${files_to_upload.length} file(s)`);
+                            await handleUploadAndChat(requestId, payload, files_to_upload);
+                        } else {
+                            console.log(`[Injector] 🔄 Retrying regular request ${requestId}`);
+                            await executeFetchAndStreamBack(requestId, payload);
+                        }
+                        console.log(`[Injector] ✅ Successfully retried request ${requestId}`);
+                    } catch (error) {
+                        console.error(`[Injector] ❌ Failed to retry request ${requestId}:`, error);
+                        // Send error to server so it can timeout the request
+                        if (socket && socket.readyState === WebSocket.OPEN) {
+                            socket.send(JSON.stringify({
+                                request_id: requestId,
+                                data: JSON.stringify({ error: `Retry failed: ${error.message}` })
+                            }));
+                            socket.send(JSON.stringify({
+                                request_id: requestId,
+                                data: "[DONE]"
+                            }));
+                        }
+                    }
+                }
+
+                console.log(`[Injector] 🎉 Completed processing ${requests.length} pending requests`);
+
+        } catch (error) {
+            console.error("[Injector] ❌ Error processing pending requests:", error);
+            localStorage.removeItem('lmarena_pending_requests');
+        }
+    }
+
+    function connect() {
+        console.log(`[Injector] Connecting to server at ${CONFIG.SERVER_URL}...`);
+        socket = new WebSocket(CONFIG.SERVER_URL);
+
+        socket.onopen = () => {
+            console.log("[Injector] ✅ Connection established with local server.");
+
+            // Send reconnection handshake if we have pending requests
+            sendReconnectionHandshake();
+
+            // Check if we have pending requests from before a CF refresh
+            processPendingRequests();
+
+            // Send model registry after connection
+            if (!modelRegistrySent) {
+                setTimeout(() => {
+                    sendModelRegistry();
+                }, 2000); // Wait a bit for page to fully load
+            }
+        };
+
+        socket.onmessage = async (event) => {
+            try {
+                const message = JSON.parse(event.data);
+
+                // 处理心跳 ping
+                if (message.type === 'ping') {
+                    console.log('[Injector] 💓 Received ping, sending pong...');
+                    socket.send(JSON.stringify({
+                        type: 'pong',
+                        timestamp: message.timestamp
+                    }));
+                    return;
+                }
+
+                if (message.type === 'refresh_models') {
+                    console.log('[Injector] 🔄 Received model refresh request');
+                    sendModelRegistry();
+                    return;
+                }
+
+                if (message.type === 'model_registry_ack') {
+                    console.log(`[Injector] ✅ Model registry updated with ${message.count} models`);
+                    modelRegistrySent = true;
+                    return;
+                }
+
+                if (message.type === 'reconnection_ack') {
+                    console.log(`[Injector] 🤝 Reconnection acknowledged: ${message.message}`);
+                    if (message.pending_request_ids && message.pending_request_ids.length > 0) {
+                        console.log(`[Injector] 📋 Server has ${message.pending_request_ids.length} pending requests waiting`);
+                    }
+                    return;
+                }
+
+                if (message.type === 'restoration_ack') {
+                    console.log(`[Injector] 🔄 Request restoration acknowledged: ${message.message}`);
+                    console.log(`[Injector] ✅ ${message.restored_count} request channels restored`);
+                    return;
+                }
+
+                // Handle abort request from server when client disconnects
+                if (message.type === 'abort_request') {
+                    const requestId = message.request_id;
+                    console.log(`[Injector] 🛑 Received abort request for ${requestId}`);
+
+                    const controller = activeFetchControllers.get(requestId);
+                    if (controller) {
+                        controller.abort();
+                        activeFetchControllers.delete(requestId);
+                        console.log(`[Injector] ✅ Aborted fetch request ${requestId}`);
+                    } else {
+                        console.log(`[Injector] ⚠️ No active fetch found for request ${requestId}`);
+                    }
+                    return;
+                }
+
+                const { request_id, payload, files_to_upload } = message;
+
+                if (!request_id || !payload) {
+                    console.error("[Injector] Invalid message from server:", message);
+                    return;
+                }
+
+                // Check if there are files to upload and route to the correct handler
+                if (files_to_upload && files_to_upload.length > 0) {
+                    console.log(`[Injector] ⬆️ Received request with ${files_to_upload.length} file(s). Starting upload process.`);
+                    await handleUploadAndChat(request_id, payload, files_to_upload);
+                } else {
+                    console.log(`[Injector] ⬇️ Received standard text request ${request_id}. Firing fetch.`);
+                    await executeFetchAndStreamBack(request_id, payload);
+                }
+
+            } catch (error) {
+                console.error("[Injector] Error processing message from server:", error);
+            }
+        };
+
+        socket.onclose = () => {
+            console.warn("[Injector] 🔌 Connection to local server closed. Retrying in 5 seconds...");
+            modelRegistrySent = false; // Reset flag on disconnect
+
+            // Abort all active fetch requests when WebSocket closes
+            if (activeFetchControllers.size > 0) {
+                console.log(`[Injector] 🛑 Aborting ${activeFetchControllers.size} active fetch requests due to WebSocket disconnect`);
+                for (const [requestId, controller] of activeFetchControllers) {
+                    controller.abort();
+                    console.log(`[Injector] ✅ Aborted fetch request ${requestId}`);
+                }
+                activeFetchControllers.clear();
+            }
+
+            setTimeout(connect, 5000);
+        };
+
+        socket.onerror = (error) => {
+            console.error("[Injector] ❌ WebSocket error:", error);
+            socket.close(); // This will trigger the onclose reconnect logic
+        };
+    }
+
+    function isCloudflareChallenge(responseText) {
+        // Check for common Cloudflare challenge indicators
+        return responseText.includes('Checking your browser before accessing') ||
+               responseText.includes('DDoS protection by Cloudflare') ||
+               responseText.includes('cf-browser-verification') ||
+               responseText.includes('cf-challenge-running') ||
+               responseText.includes('__cf_chl_jschl_tk__') ||
+               responseText.includes('cloudflare-static') ||
+               responseText.includes('<title>Just a moment...</title>') ||
+               responseText.includes('Enable JavaScript and cookies to continue') ||
+               responseText.includes('window._cf_chl_opt') ||
+               (responseText.includes('cloudflare') && responseText.includes('challenge'));
+    }
+
+    function isCurrentPageCloudflareChallenge() {
+        // Check the current page DOM for CF challenge indicators
+        try {
+            // Check page title
+            if (document.title.includes('Just a moment') ||
+                document.title.includes('Checking your browser') ||
+                document.title.includes('Please wait')) {
+                console.log("[Injector] 🛡️ CF challenge detected in page title");
+                return true;
+            }
+
+            // Check for CF challenge elements in the DOM
+            const cfIndicators = [
+                'cf-browser-verification',
+                'cf-challenge-running',
+                'cf-wrapper',
+                'cf-error-details',
+                'cloudflare-static'
+            ];
+
+            for (const indicator of cfIndicators) {
+                if (document.getElementById(indicator) ||
+                    document.querySelector(`[class*="${indicator}"]`) ||
+                    document.querySelector(`[id*="${indicator}"]`)) {
+                    console.log(`[Injector] 🛡️ CF challenge detected: found element with ${indicator}`);
+                    return true;
+                }
+            }
+
+            // Check for CF challenge text content
+            const bodyText = document.body ? document.body.textContent || document.body.innerText : '';
+            if (bodyText.includes('Checking your browser before accessing') ||
+                bodyText.includes('DDoS protection by Cloudflare') ||
+                bodyText.includes('Enable JavaScript and cookies to continue') ||
+                bodyText.includes('Please complete the security check') ||
+                bodyText.includes('Verifying you are human')) {
+                console.log("[Injector] 🛡️ CF challenge detected in page text content");
+                return true;
+            }
+
+            // Check for CF challenge scripts
+            const scripts = document.querySelectorAll('script');
+            for (const script of scripts) {
+                const scriptContent = script.textContent || script.innerHTML;
+                if (scriptContent.includes('__cf_chl_jschl_tk__') ||
+                    scriptContent.includes('window._cf_chl_opt') ||
+                    scriptContent.includes('cf_challenge_response')) {
+                    console.log("[Injector] 🛡️ CF challenge detected in script content");
+                    return true;
+                }
+            }
+
+            // Check if the page looks like the normal LMArena interface
+            // Look for key elements that should be present on the normal page
+            const normalPageIndicators = [
+                'nav', 'header', 'main',
+                '[data-testid]', '[class*="chat"]', '[class*="model"]',
+                'input[type="text"]', 'textarea'
+            ];
+
+            let normalElementsFound = 0;
+            for (const selector of normalPageIndicators) {
+                if (document.querySelector(selector)) {
+                    normalElementsFound++;
+                }
+            }
+
+            // If we found several normal page elements, it's likely not a CF challenge
+            if (normalElementsFound >= 3) {
+                console.log(`[Injector] ✅ Normal page detected: found ${normalElementsFound} normal elements`);
+                return false;
+            }
+
+            // If the page is mostly empty or has very few elements, it might be a CF challenge
+            const totalElements = document.querySelectorAll('*').length;
+            if (totalElements < 50) {
+                console.log(`[Injector] 🛡️ Possible CF challenge: page has only ${totalElements} elements`);
+                return true;
+            }
+
+            console.log("[Injector] ✅ No CF challenge indicators found in current page");
+            return false;
+
+        } catch (error) {
+            console.warn(`[Injector] ⚠️ Error checking current page for CF challenge: ${error.message}`);
+            // If we can't check, assume no challenge to avoid blocking
+            return false;
+        }
+    }
+
+    async function handleCloudflareRefresh() {
+        if (isRefreshing) {
+            console.log("[Injector] 🔄 Already refreshing, skipping duplicate refresh request");
+            return;
+        }
+
+        isRefreshing = true;
+        console.log("[Injector] 🔄 Cloudflare challenge detected! Refreshing page to get new token...");
+
+        try {
+            // Check if we have any pending requests stored
+            const storedRequests = localStorage.getItem('lmarena_pending_requests');
+            if (storedRequests) {
+                const requests = JSON.parse(storedRequests);
+                console.log(`[Injector] 💾 Found ${requests.length} pending requests, refreshing page...`);
+            }
+
+            // Refresh the page to trigger new CF authentication
+            window.location.reload();
+
+            // Wait for page to reload and CF auth to complete
+            // The script will restart after reload, so this won't continue
+        } catch (error) {
+            console.error("[Injector] ❌ Error during CF refresh:", error);
+            isRefreshing = false;
+        }
+    }
+
+    async function handleRateLimitRefresh() {
+        if (isRefreshing) {
+            console.log("[Injector] 🔄 Already refreshing, skipping duplicate rate limit refresh request");
+            return;
+        }
+
+        isRefreshing = true;
+        console.log("[Injector] 🚫 Rate limit (429) detected! Deleting auth cookie and refreshing to create new identity...");
+
+        try {
+            // Delete ALL cookies to create a completely fresh identity
+            console.log(`[Injector] 🗑️ Deleting ALL cookies to ensure fresh identity...`);
+
+            // Get all cookies and delete them
+            const cookies = document.cookie.split(";");
+            for (let cookie of cookies) {
+                const eqPos = cookie.indexOf("=");
+                const name = eqPos > -1 ? cookie.substr(0, eqPos).trim() : cookie.trim();
+                if (name) {
+                    // Delete for current domain
+                    document.cookie = `${name}=; path=/; expires=Thu, 01 Jan 1970 00:00:00 GMT`;
+                    // Delete for lmarena.ai domain
+                    document.cookie = `${name}=; path=/; domain=lmarena.ai; expires=Thu, 01 Jan 1970 00:00:00 GMT`;
+                    // Delete for .lmarena.ai domain
+                    document.cookie = `${name}=; path=/; domain=.lmarena.ai; expires=Thu, 01 Jan 1970 00:00:00 GMT`;
+                    // Delete for lmarena.ai domain
+                    document.cookie = `${name}=; path=/; domain=lmarena.ai; expires=Thu, 01 Jan 1970 00:00:00 GMT`;
+                }
+            }
+            console.log(`[Injector] 🗑️ Deleted ${cookies.length} cookies`);
+
+            // Also clear stored auth data
+            localStorage.removeItem('lmarena_auth_data');
+            localStorage.removeItem('lmarena_auth_timestamp');
+            console.log(`[Injector] 🗑️ Cleared stored auth data`);
+
+            // Check if we have any pending requests stored
+            const storedRequests = localStorage.getItem('lmarena_pending_requests');
+            if (storedRequests) {
+                const requests = JSON.parse(storedRequests);
+                console.log(`[Injector] 💾 Found ${requests.length} pending requests, refreshing page...`);
+            }
+
+            // Refresh the page to get new identity
+            window.location.reload();
+
+            // Wait for page to reload and new auth to complete
+            // The script will restart after reload, so this won't continue
+        } catch (error) {
+            console.error("[Injector] ❌ Error during rate limit refresh:", error);
+            isRefreshing = false;
+        }
+    }
+
+    // Helper function to convert base64 to a Blob
+    function base64ToBlob(base64, contentType) {
+        const byteCharacters = atob(base64);
+        const byteNumbers = new Array(byteCharacters.length);
+        for (let i = 0; i < byteCharacters.length; i++) {
+            byteNumbers[i] = byteCharacters.charCodeAt(i);
+        }
+        const byteArray = new Uint8Array(byteNumbers);
+        return new Blob([byteArray], { type: contentType });
+    }
+
+    async function handleUploadAndChat(requestId, payload, filesToUpload) {
+        // Create abort controller for this request
+        const abortController = new AbortController();
+        activeFetchControllers.set(requestId, abortController);
+
+        try {
+            console.log(`[Uploader] 🚀 Starting upload and chat for request ${requestId}`);
+
+            // Ensure authentication is ready before making requests
+            await ensureAuthenticationReady(requestId);
+
+            const attachments = [];
+            for (const file of filesToUpload) {
+                console.log(`[Uploader] Processing file: ${file.fileName}`);
+
+                // Step 1: Get Signed URL
+                console.log(`[Uploader] Step 1: Getting signed URL for ${file.fileName}`);
+                const signUrlResponse = await fetch('https://lmarena.ai/?mode=direct', {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'text/plain;charset=UTF-8',
+                        'Accept': 'text/x-component',
+                        'next-action': '70921b78972dce2a8502e777b245519ec3b4304009',
+                        'next-router-state-tree': '%5B%22%22%2C%7B%22children%22%3A%5B%5B%22locale%22%2C%22en%22%2C%22d%22%5D%2C%7B%22children%22%3A%5B%22(app)%22%2C%7B%22children%22%3A%5B%22(with-sidebar)%22%2C%7B%22children%22%3A%5B%22__PAGE__%3F%7B%5C%22mode%5C%22%3A%5C%22direct%5C%22%7D%22%2C%7B%7D%2C%22%2F%3Fmode%3Ddirect%22%2C%22refresh%22%5D%7D%2Cnull%2Cnull%5D%7D%2Cnull%2Cnull%2Ctrue%5D%7D%2Cnull%2Cnull%5D%7D%2Cnull%2Cnull%5D',
+                        'origin': 'https://lmarena.ai',
+                        'referer': 'https://lmarena.ai/'
+                    },
+                    body: JSON.stringify([file.fileName, file.contentType]),
+                    signal: abortController.signal
+                });
+
+                const signUrlText = await signUrlResponse.text();
+                console.log("[Uploader] Received for signed URL:", signUrlText);
+
+                // The response format may vary. Try different parsing strategies.
+                let signUrlData = null;
+
+                // Strategy 1: Look for "1:{...}" pattern (original format)
+                let match = signUrlText.match(/1:({.*})/);
+                if (match && match.length >= 2) {
+                    console.log("[Uploader] Found data with '1:' prefix");
+                    signUrlData = JSON.parse(match[1]);
+                } else {
+                    // Strategy 2: Look for any numbered prefix pattern like "0:{...}", "2:{...}", etc.
+                    match = signUrlText.match(/\d+:({.*})/);
+                    if (match && match.length >= 2) {
+                        console.log(`[Uploader] Found data with '${match[0].split(':')[0]}:' prefix`);
+                        signUrlData = JSON.parse(match[1]);
+                    } else {
+                        // Strategy 3: Try to parse the entire response as JSON
+                        try {
+                            signUrlData = JSON.parse(signUrlText);
+                            console.log("[Uploader] Parsed entire response as JSON");
+                        } catch (e) {
+                            // Strategy 4: Look for JSON objects in the response
+                            const jsonMatches = signUrlText.match(/{[^}]*"uploadUrl"[^}]*}/g);
+                            if (jsonMatches && jsonMatches.length > 0) {
+                                signUrlData = JSON.parse(jsonMatches[0]);
+                                console.log("[Uploader] Found JSON object containing uploadUrl");
+                            } else {
+                                throw new Error(`Could not parse signed URL response. Response: ${signUrlText}`);
+                            }
+                        }
+                    }
+                }
+
+                if (!signUrlData || !signUrlData.data || !signUrlData.data.uploadUrl) {
+                    throw new Error('Signed URL data is incomplete or invalid after parsing.');
+                }
+                const { uploadUrl, key } = signUrlData.data;
+                console.log(`[Uploader] Got signed URL. Key: ${key}`);
+
+                // Step 2: Upload file to storage
+                console.log(`[Uploader] Step 2: Uploading file to cloud storage...`);
+                const blob = base64ToBlob(file.data, file.contentType);
+                const uploadResponse = await fetch(uploadUrl, {
+                    method: 'PUT',
+                    headers: { 'Content-Type': file.contentType },
+                    body: blob,
+                    signal: abortController.signal
+                });
+                if (!uploadResponse.ok) throw new Error(`File upload failed with status ${uploadResponse.status}`);
+                console.log(`[Uploader] File uploaded successfully.`);
+
+                // Step 3: Notify LMArena of upload
+                console.log(`[Uploader] Step 3: Notifying LMArena of upload completion...`);
+                const notifyResponse = await fetch('https://lmarena.ai/?mode=direct', {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'text/plain;charset=UTF-8',
+                        'Accept': 'text/x-component',
+                        'next-action': '6022a52184b31a48befd4697f8aa5cca57a0c68dd5',
+                        'next-router-state-tree': '%5B%22%22%2C%7B%22children%22%3A%5B%5B%22locale%22%2C%22en%22%2C%22d%22%5D%2C%7B%22children%22%3A%5B%22(app)%22%2C%7B%22children%22%3A%5B%22(with-sidebar)%22%2C%7B%22children%22%3A%5B%22__PAGE__%3F%7B%5C%22mode%5C%22%3A%5C%22direct%5C%22%7D%22%2C%7B%7D%2C%22%2F%3Fmode%3Ddirect%22%2C%22refresh%22%5D%7D%2Cnull%2Cnull%5D%7D%2Cnull%2Cnull%2Ctrue%5D%7D%2Cnull%2Cnull%5D%7D%2Cnull%2Cnull%5D',
+                        'origin': 'https://lmarena.ai',
+                        'referer': 'https://lmarena.ai/'
+                    },
+                    body: JSON.stringify([key]),
+                    signal: abortController.signal
+                });
+
+                const notifyText = await notifyResponse.text();
+                console.log(`[Uploader] Notification sent. Response:`, notifyText);
+
+                // Parse the response from the notification step to get the final URL
+                const finalUrlDataLine = notifyText.split('\n').find(line => line.startsWith('1:'));
+                if (!finalUrlDataLine) throw new Error('Could not find final URL data in notification response.');
+
+                const finalUrlData = JSON.parse(finalUrlDataLine.substring(2));
+                const finalUrl = finalUrlData.data.url;
+                if (!finalUrl) throw new Error('Final URL not found in notification response data.');
+
+                console.log(`[Uploader] Extracted final GetObject URL: ${finalUrl}`);
+
+                attachments.push({
+                    name: key,
+                    contentType: file.contentType,
+                    url: finalUrl
+                });
+            }
+
+            // Step 4: Modify payload with attachments and send final request
+            console.log('[Uploader] All files uploaded. Modifying final payload...');
+            const userMessage = payload.messages.find(m => m.role === 'user');
+            if (userMessage) {
+                userMessage.experimental_attachments = attachments;
+            } else {
+                throw new Error("Could not find user message in payload to attach files to.");
+            }
+
+            console.log('[Uploader] Payload modified. Initiating final chat stream.');
+            await executeFetchAndStreamBack(requestId, payload);
+
+        } catch (error) {
+            if (error.name === 'AbortError') {
+                console.log(`[Uploader] Upload process aborted for request ${requestId}`);
+                // Don't send error back to server since client has disconnected
+            } else {
+                console.error(`[Uploader] Error during file upload process for request ${requestId}:`, error);
+                // === 添加429错误处理 ===
+                // 检查是否是429错误（可能在上传文件的任何步骤中发生）
+                if (error.message && error.message.includes('429')) {
+                    console.log(`[Uploader] 🚫 Rate limit detected during upload`);
+
+                    const existingRequests = JSON.parse(localStorage.getItem('lmarena_pending_requests') || '[]');
+                    const alreadyStored = existingRequests.some(req => req.requestId === requestId);
+
+                    if (!alreadyStored) {
+                        existingRequests.push({
+                            requestId,
+                            payload,
+                            files_to_upload: filesToUpload  // 保存文件信息！这是关键
+                        });
+                        localStorage.setItem('lmarena_pending_requests', JSON.stringify(existingRequests));
+                        console.log(`[Uploader] 💾 Stored upload request ${requestId} with ${filesToUpload.length} files for retry`);
+                    }
+
+                    handleRateLimitRefresh();
+                    return;
+                }
+                sendToServer(requestId, JSON.stringify({ error: `File upload failed: ${error.message}` }));
+                sendToServer(requestId, "[DONE]");
+            }
+        } finally {
+            // Clean up abort controller
+            activeFetchControllers.delete(requestId);
+        }
+    }
+
+    async function executeFetchAndStreamBack(requestId, payload) {
+        // Create abort controller for this request
+        const abortController = new AbortController();
+        activeFetchControllers.set(requestId, abortController);
+
+        try {
+            console.log(`[Injector] 🚀 Starting fetch for request ${requestId}`);
+
+            // Ensure authentication is ready before making request
+            await ensureAuthenticationReady(requestId);
+
+            const response = await fetch(`https://lmarena.ai${TARGET_API_PATH}`, {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'text/plain;charset=UTF-8',
+                    'Accept': '*/*',
+                    // The browser automatically adds critical headers:
+                    // Cookie, User-Agent, sec-ch-ua, etc.
+                },
+                body: JSON.stringify(payload),
+                signal: abortController.signal
+            });
+
+            // Check for rate limit (429) error first
+            if (response.status === 429) {
+                console.log(`[Injector] 🚫 Rate limit (429) detected for request ${requestId}`);
+
+                // Check if this request is already stored to prevent duplicates
+                const existingRequests = JSON.parse(localStorage.getItem('lmarena_pending_requests') || '[]');
+                const alreadyStored = existingRequests.some(req => req.requestId === requestId);
+
+                if (!alreadyStored) {
+                    existingRequests.push({
+                        requestId,
+                        payload,
+                        files_to_upload: []  // 普通请求没有文件
+                    });
+                    localStorage.setItem('lmarena_pending_requests', JSON.stringify(existingRequests));
+                    console.log(`[Injector] 💾 Stored request ${requestId} for retry after rate limit refresh`);
+                } else {
+                    console.log(`[Injector] ⚠️ Request ${requestId} already stored, skipping duplicate`);
+                }
+
+                // Trigger rate limit refresh (don't await to prevent blocking)
+                handleRateLimitRefresh();
+                return; // Function will not continue after page refresh
+            }
+
+            // Check if we got a Cloudflare challenge instead of the expected response
+            if (!response.ok || response.headers.get('content-type')?.includes('text/html')) {
+                const responseText = await response.text();
+
+                if (isCloudflareChallenge(responseText)) {
+                    console.log(`[Injector] 🛡️ Cloudflare challenge detected for request ${requestId} (Status: ${response.status})`);
+
+                    // Check if this request is already stored to prevent duplicates
+                    const existingRequests = JSON.parse(localStorage.getItem('lmarena_pending_requests') || '[]');
+                    const alreadyStored = existingRequests.some(req => req.requestId === requestId);
+
+                    if (!alreadyStored) {
+                        existingRequests.push({ requestId, payload });
+                        localStorage.setItem('lmarena_pending_requests', JSON.stringify(existingRequests));
+                        console.log(`[Injector] 💾 Stored request ${requestId} for retry after CF refresh`);
+                    } else {
+                        console.log(`[Injector] ⚠️ Request ${requestId} already stored, skipping duplicate`);
+                    }
+
+                    // Trigger automatic refresh (don't await to prevent blocking)
+                    handleCloudflareRefresh();
+                    return; // Function will not continue after page refresh
+                }
+
+                // If it's not a CF challenge, treat as regular error
+                throw new Error(`Fetch failed with status ${response.status}: ${responseText}`);
+            }
+
+            if (!response.body) {
+                throw new Error(`No response body received for request ${requestId}`);
+            }
+
+            console.log(`[Injector] 📡 Starting to stream response for request ${requestId}`);
+            const reader = response.body.getReader();
+            const decoder = new TextDecoder();
+
+            while (true) {
+                // Check if we've been aborted before reading
+                if (abortController.signal.aborted) {
+                    console.log(`[Injector] Stream aborted for request ${requestId}, cancelling reader`);
+                    await reader.cancel();
+                    break;
+                }
+
+                const { value, done } = await reader.read();
+                if (done) {
+                    console.log(`[Injector] ✅ Stream finished for request ${requestId}.`);
+                    sendToServer(requestId, "[DONE]");
+                    break;
+                }
+
+                const chunk = decoder.decode(value);
+
+                // Additional check: if we get HTML in the stream, it might be a CF challenge
+                if (chunk.includes('<html') || chunk.includes('<!DOCTYPE')) {
+                    if (isCloudflareChallenge(chunk)) {
+                        console.log(`[Injector] 🛡️ Cloudflare challenge detected in stream for request ${requestId}`);
+
+                        // Check if this request is already stored to prevent duplicates
+                        const existingRequests = JSON.parse(localStorage.getItem('lmarena_pending_requests') || '[]');
+                        const alreadyStored = existingRequests.some(req => req.requestId === requestId);
+
+                        if (!alreadyStored) {
+                            existingRequests.push({ requestId, payload });
+                            localStorage.setItem('lmarena_pending_requests', JSON.stringify(existingRequests));
+                            console.log(`[Injector] 💾 Stored request ${requestId} for retry after CF refresh (detected in stream)`);
+                        }
+
+                        // Trigger automatic refresh (don't await to prevent blocking)
+                        handleCloudflareRefresh();
+                        return;
+                    }
+                }
+
+                // Check abort signal again before sending data
+                if (abortController.signal.aborted) {
+                    console.log(`[Injector] Stream aborted for request ${requestId}, stopping data transmission`);
+                    await reader.cancel();
+                    break;
+                }
+
+                // The stream often sends multiple lines in one chunk
+                const lines = chunk.split('\n').filter(line => line.trim() !== '');
+                for (const line of lines) {
+                    // One more check before each send
+                    if (abortController.signal.aborted) {
+                        console.log(`[Injector] Aborting mid-chunk for request ${requestId}`);
+                        await reader.cancel();
+                        return; // Exit the entire function
+                    }
+                    sendToServer(requestId, line);
+                }
+            }
+
+        } catch (error) {
+            if (error.name === 'AbortError') {
+                console.log(`[Injector] Fetch aborted for request ${requestId}`);
+                // Don't send error back to server since client has disconnected
+            } else {
+                console.error(`[Injector] ❌ Error during fetch for request ${requestId}:`, error);
+                sendToServer(requestId, JSON.stringify({ error: error.message }));
+                sendToServer(requestId, "[DONE]"); // Ensure the stream is always terminated
+            }
+        } finally {
+            // Clean up abort controller
+            activeFetchControllers.delete(requestId);
+        }
+    }
+
+    function sendToServer(requestId, data) {
+        // Check if this request has been aborted
+        const controller = activeFetchControllers.get(requestId);
+        if (controller && controller.signal.aborted) {
+            console.log(`[Injector] Not sending data for aborted request ${requestId}`);
+            return;
+        }
+
+        if (socket && socket.readyState === WebSocket.OPEN) {
+            const message = {
+                request_id: requestId,
+                data: data
+            };
+            socket.send(JSON.stringify(message));
+        } else {
+            console.error("[Injector] Cannot send data, socket is not open.");
+        }
+    }
+
+    function extractModelRegistry() {
+        console.log('[Injector] 🔍 Extracting model registry from script tags...');
+
+        try {
+            const scripts = document.querySelectorAll('script');
+            let modelData = null;
+            const searchString = CONFIG.MODEL_REGISTRY.SEARCH_STRING;
+
+            for (const script of scripts) {
+                const content = script.textContent || script.innerHTML;
+                if (content.includes(searchString)) {
+                    console.log('[Injector] Found the target script tag.');
+
+                    // The entire payload is inside this one script's content.
+                    const startIndex = content.indexOf(searchString);
+                    const payloadStartIndex = startIndex + searchString.length; // Start at the first '[' after the ':'
+
+                    let balance = 1;
+                    let endIndex = -1;
+                    let inString = false;
+
+                    // Start searching from after the first bracket
+                    for (let i = payloadStartIndex + 1; i < content.length; i++) {
+                        const char = content[i];
+                        const prevChar = content[i-1];
+
+                        // Toggle inString state if we encounter a quote that is not escaped
+                        if (char === '"' && prevChar !== '\\') {
+                            inString = !inString;
+                        }
+
+                        // Only count brackets if we're not inside a string
+                        if (!inString) {
+                            if (char === '[') {
+                                balance++;
+                            } else if (char === ']') {
+                                balance--;
+                            }
+                        }
+
+                        // If balance is zero, we've found the end of our JSON object
+                        if (balance === 0) {
+                            endIndex = i + 1;
+                            break;
+                        }
+                    }
+
+                    if (endIndex === -1) {
+                        console.error('[Injector] Could not find the end of the JSON payload using bracket counting.');
+                        continue;
+                    }
+
+                    const rawPayload = content.substring(payloadStartIndex, endIndex);
+                    const jsonString = rawPayload.replace(/\\"/g, '"').replace(/\\\\/g, '\\');
+
+                    console.log('[Injector] Payload extracted via bracket counting. Parsing JSON...');
+                    const parsedData = JSON.parse(jsonString);
+
+                    function findAllInitialStates(obj) {
+                        let allModels = [];
+                        function search(currentObj) {
+                            if (!currentObj || typeof currentObj !== 'object') return;
+                            if (currentObj.hasOwnProperty('initialState') && Array.isArray(currentObj.initialState)) {
+                                if (currentObj.initialState.length > 0 && currentObj.initialState[0] && currentObj.initialState[0].publicName) {
+                                    allModels = allModels.concat(currentObj.initialState);
+                                }
+                            }
+                            for (const key in currentObj) {
+                                if (currentObj.hasOwnProperty(key)) search(currentObj[key]);
+                            }
+                        }
+                        search(obj);
+                        return allModels;
+                    }
+
+                    modelData = findAllInitialStates(parsedData);
+                    if (modelData && modelData.length > 0) {
+                        console.log(`[Injector] Successfully aggregated ${modelData.length} models.`);
+                        break; // Exit after processing the correct script
+                    }
+                }
+            }
+
+            if (!modelData || modelData.length === 0) {
+                console.warn('[Injector] Model extraction failed.');
+                return null;
+            }
+
+            const registry = {};
+            modelData.forEach(model => {
+                if (!model || typeof model !== 'object' || !model.publicName) return;
+                if (registry[model.publicName]) return;
+
+                let type = 'chat';
+                if (model.capabilities && model.capabilities.outputCapabilities) {
+                    if (model.capabilities.outputCapabilities.image) type = 'image';
+                    else if (model.capabilities.outputCapabilities.video) type = 'video';
+                }
+
+                registry[model.publicName] = { type: type, ...model };
+            });
+
+            console.log(`[Injector] ✅ Extracted ${Object.keys(registry).length} unique models.`);
+            return registry;
+
+        } catch (error) {
+            console.error('[Injector] ❌ Error extracting model registry:', error);
+            return null;
+        }
+    }
+
+    function sendReconnectionHandshake() {
+        if (!socket || socket.readyState !== WebSocket.OPEN) {
+            console.log('[Injector] ⚠️ WebSocket not ready, cannot send reconnection handshake');
+            return;
+        }
+
+        // Get pending request IDs from localStorage
+        const storedRequests = localStorage.getItem('lmarena_pending_requests');
+        let pendingRequestIds = [];
+
+        if (storedRequests) {
+            try {
+                const requests = JSON.parse(storedRequests);
+                pendingRequestIds = requests.map(req => req.requestId);
+                console.log(`[Injector] 🤝 Sending reconnection handshake with ${pendingRequestIds.length} pending requests`);
+            } catch (error) {
+                console.error("[Injector] Error parsing stored requests for handshake:", error);
+            }
+        }
+
+        const handshakeMessage = {
+            type: 'reconnection_handshake',
+            pending_request_ids: pendingRequestIds,
+            timestamp: Date.now()
+        };
+
+        socket.send(JSON.stringify(handshakeMessage));
+        console.log(`[Injector] 📤 Sent reconnection handshake`);
+    }
+
+    function sendModelRegistry() {
+        if (!socket || socket.readyState !== WebSocket.OPEN) {
+            console.log('[Injector] ⚠️ WebSocket not ready, cannot send model registry');
+            return;
+        }
+
+        const models = extractModelRegistry();
+
+        if (models && Object.keys(models).length > 0) {
+            const message = {
+                type: 'model_registry',
+                models: models
+            };
+
+            socket.send(JSON.stringify(message));
+            console.log(`[Injector] 📤 Sent model registry with ${Object.keys(models).length} models`);
+        } else {
+            console.warn('[Injector] ⚠️ No models extracted, not sending registry');
+        }
+    }
+
+    // --- Start the connection ---
+    connect();
+
+    // Also try to send model registry when page loads
+    if (document.readyState === 'loading') {
+        document.addEventListener('DOMContentLoaded', () => {
+            setTimeout(sendModelRegistry, 3000);
+        });
+    } else {
+        setTimeout(sendModelRegistry, 3000);
+    }
+
+})();

src/main.py

@@ -0,0 +1,1194 @@
+import asyncio
+import json
+import re
+import uuid
+import time
+import secrets
+from collections import defaultdict
+from typing import Optional, Dict
+from datetime import datetime, timezone, timedelta
+
+import uvicorn
+from camoufox.async_api import AsyncCamoufox
+from fastapi import FastAPI, HTTPException, Depends, status, Form, Request, Response
+from starlette.responses import HTMLResponse, RedirectResponse
+from fastapi.security import APIKeyHeader
+
+import httpx
+
+# Custom UUIDv7 implementation (using correct Unix epoch)
+def uuid7():
+    """
+    Generate a UUIDv7 using Unix epoch (milliseconds since 1970-01-01)
+    matching the browser's implementation.
+    """
+    timestamp_ms = int(time.time() * 1000)
+    rand_a = secrets.randbits(12)
+    rand_b = secrets.randbits(62)
+    
+    uuid_int = timestamp_ms << 80
+    uuid_int |= (0x7000 | rand_a) << 64
+    uuid_int |= (0x8000000000000000 | rand_b)
+    
+    hex_str = f"{uuid_int:032x}"
+    return f"{hex_str[0:8]}-{hex_str[8:12]}-{hex_str[12:16]}-{hex_str[16:20]}-{hex_str[20:32]}"
+
+app = FastAPI()
+
+# --- Constants & Global State ---
+CONFIG_FILE = "config.json"
+MODELS_FILE = "models.json"
+API_KEY_HEADER = APIKeyHeader(name="Authorization")
+
+# In-memory stores
+# { "api_key": { "conversation_id": session_data } }
+chat_sessions: Dict[str, Dict[str, dict]] = defaultdict(dict)
+# { "session_id": "username" }
+dashboard_sessions = {}
+# { "api_key": [timestamp1, timestamp2, ...] }
+api_key_usage = defaultdict(list)
+# { "model_id": count }
+model_usage_stats = defaultdict(int)
+
+# --- Helper Functions ---
+
+def get_config():
+    try:
+        with open(CONFIG_FILE, "r") as f:
+            config = json.load(f)
+    except (FileNotFoundError, json.JSONDecodeError):
+        config = {}
+
+    # Ensure default keys exist
+    config.setdefault("password", "admin")
+    config.setdefault("auth_token", "")
+    config.setdefault("cf_clearance", "")
+    config.setdefault("api_keys", [])
+    config.setdefault("usage_stats", {})
+    # Sync in-memory stats with loaded config
+    global model_usage_stats
+    model_usage_stats = defaultdict(int, config["usage_stats"])
+
+    return config
+
+def save_config(config):
+    # Persist in-memory stats to the config dict before saving
+    config["usage_stats"] = dict(model_usage_stats)
+    with open(CONFIG_FILE, "w") as f:
+        json.dump(config, f, indent=4)
+
+def get_models():
+    try:
+        with open(MODELS_FILE, "r") as f:
+            return json.load(f)
+    except (FileNotFoundError, json.JSONDecodeError):
+        return []
+
+def save_models(models):
+    with open(MODELS_FILE, "w") as f:
+        json.dump(models, f, indent=2)
+
+def get_request_headers():
+    config = get_config()
+    auth_token = config.get("auth_token", "").strip()
+    if not auth_token:
+        raise HTTPException(status_code=500, detail="Arena auth token not set in dashboard.")
+    
+    cf_clearance = config.get("cf_clearance", "").strip()
+    return {
+        "Content-Type": "application/json",
+        "Cookie": f"cf_clearance={cf_clearance}; arena-auth-prod-v1={auth_token}",
+    }
+
+# --- Dashboard Authentication ---
+
+async def get_current_session(request: Request):
+    session_id = request.cookies.get("session_id")
+    if session_id and session_id in dashboard_sessions:
+        return dashboard_sessions[session_id]
+    return None
+
+# --- API Key Authentication & Rate Limiting ---
+
+async def rate_limit_api_key(key: str = Depends(API_KEY_HEADER)):
+    if not key.startswith("Bearer "):
+        raise HTTPException(
+            status_code=401, 
+            detail="Invalid Authorization header. Expected 'Bearer YOUR_API_KEY'"
+        )
+    
+    # Remove "Bearer " prefix and strip whitespace
+    api_key_str = key[7:].strip()
+    config = get_config()
+    
+    key_data = next((k for k in config["api_keys"] if k["key"] == api_key_str), None)
+    if not key_data:
+        raise HTTPException(status_code=401, detail="Invalid API Key.")
+
+    # Rate Limiting
+    rate_limit = key_data.get("rpm", 60)
+    current_time = time.time()
+    
+    # Clean up old timestamps (older than 60 seconds)
+    api_key_usage[api_key_str] = [t for t in api_key_usage[api_key_str] if current_time - t < 60]
+
+    if len(api_key_usage[api_key_str]) >= rate_limit:
+        raise HTTPException(status_code=429, detail="Rate limit exceeded. Please try again later.")
+        
+    api_key_usage[api_key_str].append(current_time)
+    
+    return key_data
+
+# --- Core Logic ---
+
+async def get_initial_data():
+    print("Starting initial data retrieval...")
+    try:
+        async with AsyncCamoufox(headless=True) as browser:
+            page = await browser.new_page()
+            
+            print("Navigating to lmarena.ai...")
+            await page.goto("https://lmarena.ai/", wait_until="domcontentloaded")
+
+            print("Waiting for Cloudflare challenge to complete...")
+            try:
+                await page.wait_for_function(
+                    "() => document.title.indexOf('Just a moment...') === -1", 
+                    timeout=45000
+                )
+                print("✅ Cloudflare challenge passed.")
+            except Exception as e:
+                print(f"❌ Cloudflare challenge took too long or failed: {e}")
+                return
+
+            await asyncio.sleep(5)
+
+            # Extract cf_clearance
+            cookies = await page.context.cookies()
+            cf_clearance_cookie = next((c for c in cookies if c["name"] == "cf_clearance"), None)
+            
+            config = get_config()
+            if cf_clearance_cookie:
+                config["cf_clearance"] = cf_clearance_cookie["value"]
+                save_config(config)
+                print(f"✅ Saved cf_clearance token: {cf_clearance_cookie['value'][:20]}...")
+            else:
+                print("⚠️ Could not find cf_clearance cookie.")
+
+            # Extract models
+            print("Extracting models from page...")
+            try:
+                body = await page.content()
+                match = re.search(r'{\\"initialModels\\":(\[.*?\]),\\"initialModel[A-Z]Id', body, re.DOTALL)
+                if match:
+                    models_json = match.group(1).encode().decode('unicode_escape')
+                    models = json.loads(models_json)
+                    save_models(models)
+                    print(f"✅ Saved {len(models)} models")
+                else:
+                    print("⚠️ Could not find models in page")
+            except Exception as e:
+                print(f"❌ Error extracting models: {e}")
+
+            print("✅ Initial data retrieval complete")
+    except Exception as e:
+        print(f"❌ An error occurred during initial data retrieval: {e}")
+
+@app.on_event("startup")
+async def startup_event():
+    # Ensure config and models files exist
+    save_config(get_config())
+    save_models(get_models())
+    asyncio.create_task(get_initial_data())
+
+# --- UI Endpoints (Login/Dashboard) ---
+
+@app.get("/", response_class=HTMLResponse)
+async def root_redirect():
+    return RedirectResponse(url="/dashboard")
+
+@app.get("/login", response_class=HTMLResponse)
+async def login_page(request: Request, error: Optional[str] = None):
+    if await get_current_session(request):
+        return RedirectResponse(url="/dashboard")
+    
+    error_msg = '<div class="error-message">Invalid password. Please try again.</div>' if error else ''
+    
+    return f"""
+        <!DOCTYPE html>
+        <html>
+        <head>
+            <title>Login - LMArena Bridge</title>
+            <meta name="viewport" content="width=device-width, initial-scale=1.0">
+            <style>
+                * {{ margin: 0; padding: 0; box-sizing: border-box; }}
+                body {{
+                    font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif;
+                    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+                    min-height: 100vh;
+                    display: flex;
+                    align-items: center;
+                    justify-content: center;
+                    padding: 20px;
+                }}
+                .login-container {{
+                    background: white;
+                    padding: 40px;
+                    border-radius: 10px;
+                    box-shadow: 0 10px 40px rgba(0,0,0,0.2);
+                    width: 100%;
+                    max-width: 400px;
+                }}
+                h1 {{
+                    color: #333;
+                    margin-bottom: 10px;
+                    font-size: 28px;
+                }}
+                .subtitle {{
+                    color: #666;
+                    margin-bottom: 30px;
+                    font-size: 14px;
+                }}
+                .form-group {{
+                    margin-bottom: 20px;
+                }}
+                label {{
+                    display: block;
+                    margin-bottom: 8px;
+                    color: #555;
+                    font-weight: 500;
+                }}
+                input[type="password"] {{
+                    width: 100%;
+                    padding: 12px;
+                    border: 2px solid #e1e8ed;
+                    border-radius: 6px;
+                    font-size: 16px;
+                    transition: border-color 0.3s;
+                }}
+                input[type="password"]:focus {{
+                    outline: none;
+                    border-color: #667eea;
+                }}
+                button {{
+                    width: 100%;
+                    padding: 12px;
+                    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+                    color: white;
+                    border: none;
+                    border-radius: 6px;
+                    font-size: 16px;
+                    font-weight: 600;
+                    cursor: pointer;
+                    transition: transform 0.2s;
+                }}
+                button:hover {{
+                    transform: translateY(-2px);
+                }}
+                button:active {{
+                    transform: translateY(0);
+                }}
+                .error-message {{
+                    background: #fee;
+                    color: #c33;
+                    padding: 12px;
+                    border-radius: 6px;
+                    margin-bottom: 20px;
+                    border-left: 4px solid #c33;
+                }}
+            </style>
+        </head>
+        <body>
+            <div class="login-container">
+                <h1>LMArena Bridge</h1>
+                <div class="subtitle">Sign in to access the dashboard</div>
+                {error_msg}
+                <form action="/login" method="post">
+                    <div class="form-group">
+                        <label for="password">Password</label>
+                        <input type="password" id="password" name="password" placeholder="Enter your password" required autofocus>
+                    </div>
+                    <button type="submit">Sign In</button>
+                </form>
+            </div>
+        </body>
+        </html>
+    """
+
+@app.post("/login")
+async def login_submit(response: Response, password: str = Form(...)):
+    config = get_config()
+    if password == config.get("password"):
+        session_id = str(uuid.uuid4())
+        dashboard_sessions[session_id] = "admin"
+        response = RedirectResponse(url="/dashboard", status_code=status.HTTP_303_SEE_OTHER)
+        response.set_cookie(key="session_id", value=session_id, httponly=True)
+        return response
+    return RedirectResponse(url="/login?error=1", status_code=status.HTTP_303_SEE_OTHER)
+
+@app.get("/logout")
+async def logout(request: Request, response: Response):
+    session_id = request.cookies.get("session_id")
+    if session_id in dashboard_sessions:
+        del dashboard_sessions[session_id]
+    response = RedirectResponse(url="/login", status_code=status.HTTP_303_SEE_OTHER)
+    response.delete_cookie("session_id")
+    return response
+
+@app.get("/dashboard", response_class=HTMLResponse)
+async def dashboard(session: str = Depends(get_current_session)):
+    if not session:
+        return RedirectResponse(url="/login")
+
+    config = get_config()
+    models = get_models()
+
+    # Render API Keys
+    keys_html = ""
+    for key in config["api_keys"]:
+        created_date = time.strftime('%Y-%m-%d %H:%M', time.localtime(key.get('created', 0)))
+        keys_html += f"""
+            <tr>
+                <td><strong>{key['name']}</strong></td>
+                <td><code class="api-key-code">{key['key']}</code></td>
+                <td><span class="badge">{key['rpm']} RPM</span></td>
+                <td><small>{created_date}</small></td>
+                <td>
+                    <form action='/delete-key' method='post' style='margin:0;' onsubmit='return confirm("Delete this API key?");'>
+                        <input type='hidden' name='key_id' value='{key['key']}'>
+                        <button type='submit' class='btn-delete'>Delete</button>
+                    </form>
+                </td>
+            </tr>
+        """
+
+    # Render Models (limit to first 20 with text output)
+    text_models = [m for m in models if m.get('capabilities', {}).get('outputCapabilities', {}).get('text')]
+    models_html = ""
+    for i, model in enumerate(text_models[:20]):
+        rank = model.get('rank', '?')
+        org = model.get('organization', 'Unknown')
+        models_html += f"""
+            <div class="model-card">
+                <div class="model-header">
+                    <span class="model-name">{model.get('publicName', 'Unnamed')}</span>
+                    <span class="model-rank">Rank {rank}</span>
+                </div>
+                <div class="model-org">{org}</div>
+            </div>
+        """
+    
+    if not models_html:
+        models_html = '<div class="no-data">No models found. Token may be invalid or expired.</div>'
+
+    # Render Stats
+    stats_html = ""
+    if model_usage_stats:
+        for model, count in sorted(model_usage_stats.items(), key=lambda x: x[1], reverse=True)[:10]:
+            stats_html += f"<tr><td>{model}</td><td><strong>{count}</strong></td></tr>"
+    else:
+        stats_html = "<tr><td colspan='2' class='no-data'>No usage data yet</td></tr>"
+
+    # Check token status
+    token_status = "✅ Configured" if config.get("auth_token") else "❌ Not Set"
+    token_class = "status-good" if config.get("auth_token") else "status-bad"
+    
+    cf_status = "✅ Configured" if config.get("cf_clearance") else "❌ Not Set"
+    cf_class = "status-good" if config.get("cf_clearance") else "status-bad"
+
+    return f"""
+        <!DOCTYPE html>
+        <html>
+        <head>
+            <title>Dashboard - LMArena Bridge</title>
+            <meta name="viewport" content="width=device-width, initial-scale=1.0">
+            <style>
+                * {{ margin: 0; padding: 0; box-sizing: border-box; }}
+                body {{
+                    font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif;
+                    background: #f5f7fa;
+                    color: #333;
+                    line-height: 1.6;
+                }}
+                .header {{
+                    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+                    color: white;
+                    padding: 20px 0;
+                    box-shadow: 0 2px 10px rgba(0,0,0,0.1);
+                }}
+                .header-content {{
+                    max-width: 1200px;
+                    margin: 0 auto;
+                    padding: 0 20px;
+                    display: flex;
+                    justify-content: space-between;
+                    align-items: center;
+                }}
+                h1 {{
+                    font-size: 24px;
+                    font-weight: 600;
+                }}
+                .logout-btn {{
+                    background: rgba(255,255,255,0.2);
+                    color: white;
+                    padding: 8px 16px;
+                    border-radius: 6px;
+                    text-decoration: none;
+                    transition: background 0.3s;
+                }}
+                .logout-btn:hover {{
+                    background: rgba(255,255,255,0.3);
+                }}
+                .container {{
+                    max-width: 1200px;
+                    margin: 30px auto;
+                    padding: 0 20px;
+                }}
+                .section {{
+                    background: white;
+                    border-radius: 10px;
+                    padding: 25px;
+                    margin-bottom: 25px;
+                    box-shadow: 0 2px 8px rgba(0,0,0,0.05);
+                }}
+                .section-header {{
+                    display: flex;
+                    justify-content: space-between;
+                    align-items: center;
+                    margin-bottom: 20px;
+                    padding-bottom: 15px;
+                    border-bottom: 2px solid #f0f0f0;
+                }}
+                h2 {{
+                    font-size: 20px;
+                    color: #333;
+                    font-weight: 600;
+                }}
+                .status-badge {{
+                    padding: 6px 12px;
+                    border-radius: 6px;
+                    font-size: 13px;
+                    font-weight: 600;
+                }}
+                .status-good {{ background: #d4edda; color: #155724; }}
+                .status-bad {{ background: #f8d7da; color: #721c24; }}
+                table {{
+                    width: 100%;
+                    border-collapse: collapse;
+                }}
+                th {{
+                    background: #f8f9fa;
+                    padding: 12px;
+                    text-align: left;
+                    font-weight: 600;
+                    color: #555;
+                    font-size: 14px;
+                    border-bottom: 2px solid #e9ecef;
+                }}
+                td {{
+                    padding: 12px;
+                    border-bottom: 1px solid #f0f0f0;
+                }}
+                tr:hover {{
+                    background: #f8f9fa;
+                }}
+                .form-group {{
+                    margin-bottom: 15px;
+                }}
+                label {{
+                    display: block;
+                    margin-bottom: 6px;
+                    font-weight: 500;
+                    color: #555;
+                }}
+                input[type="text"], input[type="number"], textarea {{
+                    width: 100%;
+                    padding: 10px;
+                    border: 2px solid #e1e8ed;
+                    border-radius: 6px;
+                    font-size: 14px;
+                    font-family: inherit;
+                    transition: border-color 0.3s;
+                }}
+                input:focus, textarea:focus {{
+                    outline: none;
+                    border-color: #667eea;
+                }}
+                textarea {{
+                    resize: vertical;
+                    font-family: 'Courier New', monospace;
+                    min-height: 100px;
+                }}
+                button, .btn {{
+                    padding: 10px 20px;
+                    border: none;
+                    border-radius: 6px;
+                    font-size: 14px;
+                    font-weight: 600;
+                    cursor: pointer;
+                    transition: all 0.3s;
+                }}
+                button[type="submit"]:not(.btn-delete) {{
+                    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+                    color: white;
+                }}
+                button[type="submit"]:not(.btn-delete):hover {{
+                    transform: translateY(-2px);
+                    box-shadow: 0 4px 12px rgba(102, 126, 234, 0.4);
+                }}
+                .btn-delete {{
+                    background: #dc3545;
+                    color: white;
+                    padding: 6px 12px;
+                    font-size: 13px;
+                }}
+                .btn-delete:hover {{
+                    background: #c82333;
+                }}
+                .api-key-code {{
+                    background: #f8f9fa;
+                    padding: 4px 8px;
+                    border-radius: 4px;
+                    font-family: 'Courier New', monospace;
+                    font-size: 12px;
+                    color: #495057;
+                }}
+                .badge {{
+                    background: #e7f3ff;
+                    color: #0066cc;
+                    padding: 4px 8px;
+                    border-radius: 4px;
+                    font-size: 12px;
+                    font-weight: 600;
+                }}
+                .model-grid {{
+                    display: grid;
+                    grid-template-columns: repeat(auto-fill, minmax(250px, 1fr));
+                    gap: 15px;
+                    margin-top: 15px;
+                }}
+                .model-card {{
+                    background: #f8f9fa;
+                    padding: 15px;
+                    border-radius: 8px;
+                    border-left: 4px solid #667eea;
+                }}
+                .model-header {{
+                    display: flex;
+                    justify-content: space-between;
+                    align-items: center;
+                    margin-bottom: 8px;
+                }}
+                .model-name {{
+                    font-weight: 600;
+                    color: #333;
+                    font-size: 14px;
+                }}
+                .model-rank {{
+                    background: #667eea;
+                    color: white;
+                    padding: 2px 8px;
+                    border-radius: 12px;
+                    font-size: 11px;
+                    font-weight: 600;
+                }}
+                .model-org {{
+                    color: #666;
+                    font-size: 12px;
+                }}
+                .no-data {{
+                    text-align: center;
+                    color: #999;
+                    padding: 20px;
+                    font-style: italic;
+                }}
+                .stats-grid {{
+                    display: grid;
+                    grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+                    gap: 20px;
+                    margin-bottom: 20px;
+                }}
+                .stat-card {{
+                    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+                    color: white;
+                    padding: 20px;
+                    border-radius: 8px;
+                    text-align: center;
+                }}
+                .stat-value {{
+                    font-size: 32px;
+                    font-weight: bold;
+                    margin-bottom: 5px;
+                }}
+                .stat-label {{
+                    font-size: 14px;
+                    opacity: 0.9;
+                }}
+                .form-row {{
+                    display: grid;
+                    grid-template-columns: 2fr 1fr auto;
+                    gap: 10px;
+                    align-items: end;
+                }}
+                @media (max-width: 768px) {{
+                    .form-row {{
+                        grid-template-columns: 1fr;
+                    }}
+                    .model-grid {{
+                        grid-template-columns: 1fr;
+                    }}
+                }}
+            </style>
+        </head>
+        <body>
+            <div class="header">
+                <div class="header-content">
+                    <h1>🚀 LMArena Bridge Dashboard</h1>
+                    <a href="/logout" class="logout-btn">Logout</a>
+                </div>
+            </div>
+
+            <div class="container">
+                <!-- Stats Overview -->
+                <div class="stats-grid">
+                    <div class="stat-card">
+                        <div class="stat-value">{len(config['api_keys'])}</div>
+                        <div class="stat-label">API Keys</div>
+                    </div>
+                    <div class="stat-card">
+                        <div class="stat-value">{len(text_models)}</div>
+                        <div class="stat-label">Available Models</div>
+                    </div>
+                    <div class="stat-card">
+                        <div class="stat-value">{sum(model_usage_stats.values())}</div>
+                        <div class="stat-label">Total Requests</div>
+                    </div>
+                </div>
+
+                <!-- Arena Auth Token -->
+                <div class="section">
+                    <div class="section-header">
+                        <h2>🔐 Arena Authentication</h2>
+                        <span class="status-badge {token_class}">{token_status}</span>
+                    </div>
+                    <form action="/update-auth-token" method="post">
+                        <div class="form-group">
+                            <label for="auth_token">Arena Auth Token</label>
+                            <textarea id="auth_token" name="auth_token" placeholder="Paste your arena-auth-prod-v1 token here">{config.get("auth_token", "")}</textarea>
+                        </div>
+                        <button type="submit">Update Token</button>
+                    </form>
+                </div>
+
+                <!-- Cloudflare Clearance -->
+                <div class="section">
+                    <div class="section-header">
+                        <h2>☁️ Cloudflare Clearance</h2>
+                        <span class="status-badge {cf_class}">{cf_status}</span>
+                    </div>
+                    <p style="color: #666; margin-bottom: 15px;">This is automatically fetched on startup. If API requests fail with 404 errors, the token may have expired.</p>
+                    <code style="background: #f8f9fa; padding: 10px; display: block; border-radius: 6px; word-break: break-all; margin-bottom: 15px;">
+                        {config.get("cf_clearance", "Not set")}
+                    </code>
+                    <form action="/refresh-tokens" method="post" style="margin-top: 15px;">
+                        <button type="submit" style="background: #28a745;">🔄 Refresh Tokens &amp; Models</button>
+                    </form>
+                    <p style="color: #999; font-size: 13px; margin-top: 10px;"><em>Note: This will fetch a fresh cf_clearance token and update the model list.</em></p>
+                </div>
+
+                <!-- API Keys -->
+                <div class="section">
+                    <div class="section-header">
+                        <h2>🔑 API Keys</h2>
+                    </div>
+                    <table>
+                        <thead>
+                            <tr>
+                                <th>Name</th>
+                                <th>Key</th>
+                                <th>Rate Limit</th>
+                                <th>Created</th>
+                                <th>Action</th>
+                            </tr>
+                        </thead>
+                        <tbody>
+                            {keys_html if keys_html else '<tr><td colspan="5" class="no-data">No API keys configured</td></tr>'}
+                        </tbody>
+                    </table>
+                    
+                    <h3 style="margin-top: 30px; margin-bottom: 15px; font-size: 18px;">Create New API Key</h3>
+                    <form action="/create-key" method="post">
+                        <div class="form-row">
+                            <div class="form-group">
+                                <label for="name">Key Name</label>
+                                <input type="text" id="name" name="name" placeholder="e.g., Production Key" required>
+                            </div>
+                            <div class="form-group">
+                                <label for="rpm">Rate Limit (RPM)</label>
+                                <input type="number" id="rpm" name="rpm" value="60" min="1" max="1000" required>
+                            </div>
+                            <div class="form-group">
+                                <label>&nbsp;</label>
+                                <button type="submit">Create Key</button>
+                            </div>
+                        </div>
+                    </form>
+                </div>
+
+                <!-- Usage Statistics -->
+                <div class="section">
+                    <div class="section-header">
+                        <h2>📊 Usage Statistics</h2>
+                    </div>
+                    <table>
+                        <thead>
+                            <tr>
+                                <th>Model</th>
+                                <th>Requests</th>
+                            </tr>
+                        </thead>
+                        <tbody>
+                            {stats_html}
+                        </tbody>
+                    </table>
+                </div>
+
+                <!-- Available Models -->
+                <div class="section">
+                    <div class="section-header">
+                        <h2>🤖 Available Models</h2>
+                    </div>
+                    <p style="color: #666; margin-bottom: 15px;">Showing top 20 text-based models (Rank 1 = Best)</p>
+                    <div class="model-grid">
+                        {models_html}
+                    </div>
+                </div>
+            </div>
+        </body>
+        </html>
+    """
+
+@app.post("/update-auth-token")
+async def update_auth_token(session: str = Depends(get_current_session), auth_token: str = Form(...)):
+    if not session:
+        return RedirectResponse(url="/login")
+    config = get_config()
+    config["auth_token"] = auth_token.strip()
+    save_config(config)
+    return RedirectResponse(url="/dashboard", status_code=status.HTTP_303_SEE_OTHER)
+
+@app.post("/create-key")
+async def create_key(session: str = Depends(get_current_session), name: str = Form(...), rpm: int = Form(...)):
+    if not session:
+        return RedirectResponse(url="/login")
+    config = get_config()
+    new_key = {
+        "name": name.strip(),
+        "key": f"sk-lmab-{uuid.uuid4()}",
+        "rpm": max(1, min(rpm, 1000)),  # Clamp between 1-1000
+        "created": int(time.time())
+    }
+    config["api_keys"].append(new_key)
+    save_config(config)
+    return RedirectResponse(url="/dashboard", status_code=status.HTTP_303_SEE_OTHER)
+
+@app.post("/delete-key")
+async def delete_key(session: str = Depends(get_current_session), key_id: str = Form(...)):
+    if not session:
+        return RedirectResponse(url="/login")
+    config = get_config()
+    config["api_keys"] = [k for k in config["api_keys"] if k["key"] != key_id]
+    save_config(config)
+    return RedirectResponse(url="/dashboard", status_code=status.HTTP_303_SEE_OTHER)
+
+@app.post("/refresh-tokens")
+async def refresh_tokens(session: str = Depends(get_current_session)):
+    if not session:
+        return RedirectResponse(url="/login")
+    await get_initial_data()
+    return RedirectResponse(url="/dashboard", status_code=status.HTTP_303_SEE_OTHER)
+
+# --- OpenAI Compatible API Endpoints ---
+
+@app.get("/api/v1/models")
+async def list_models(api_key: dict = Depends(rate_limit_api_key)):
+    models = get_models()
+    # Filter for text-based models
+    text_models = [m for m in models if m.get('capabilities', {}).get('outputCapabilities', {}).get('text')]
+    
+    return {
+        "object": "list",
+        "data": [
+            {
+                "id": model.get("publicName"),
+                "object": "model",
+                "created": int(time.time()),
+                "owned_by": model.get("organization", "lmarena")
+            } for model in text_models if model.get("publicName")
+        ]
+    }
+
+@app.post("/api/v1/chat/completions")
+async def api_chat_completions(request: Request, api_key: dict = Depends(rate_limit_api_key)):
+    print("\n" + "="*80)
+    print("🔵 NEW API REQUEST RECEIVED")
+    print("="*80)
+    
+    try:
+        body = await request.json()
+        print(f"📥 Request body keys: {list(body.keys())}")
+        
+        model_public_name = body.get("model")
+        messages = body.get("messages", [])
+        
+        print(f"🤖 Requested model: {model_public_name}")
+        print(f"💬 Number of messages: {len(messages)}")
+        
+        if not model_public_name or not messages:
+            print("❌ Missing model or messages in request")
+            raise HTTPException(status_code=400, detail="Missing 'model' or 'messages' in request body.")
+
+        # Find model ID from public name
+        models = get_models()
+        print(f"📚 Total models loaded: {len(models)}")
+        
+        model_id = None
+        for m in models:
+            if m.get("publicName") == model_public_name:
+                model_id = m.get("id")
+                break
+        
+        if not model_id:
+            print(f"❌ Model '{model_public_name}' not found in model list")
+            raise HTTPException(
+                status_code=404, 
+                detail=f"Model '{model_public_name}' not found. Use /api/v1/models to see available models."
+            )
+        
+        print(f"✅ Found model ID: {model_id}")
+
+        # Log usage
+        model_usage_stats[model_public_name] += 1
+        config = get_config()
+        save_config(config)
+
+        # Use last message as prompt
+        prompt = messages[-1].get("content", "")
+        print(f"📝 User prompt: {prompt[:100]}..." if len(prompt) > 100 else f"📝 User prompt: {prompt}")
+        
+        if not prompt:
+            print("❌ Last message has no content")
+            raise HTTPException(status_code=400, detail="Last message must have content.")
+        
+        # Use API key + conversation tracking
+        api_key_str = api_key["key"]
+        conversation_id = body.get("conversation_id", f"conv-{uuid.uuid4()}")
+        
+        print(f"🔑 API Key: {api_key_str[:20]}...")
+        print(f"💭 Conversation ID: {conversation_id}")
+        
+        headers = get_request_headers()
+        print(f"📋 Headers prepared (auth token length: {len(headers.get('Cookie', '').split('arena-auth-prod-v1=')[-1].split(';')[0])} chars)")
+        
+        # Check if conversation exists for this API key
+        session = chat_sessions[api_key_str].get(conversation_id)
+        
+        if not session:
+            print("🆕 Creating NEW conversation session")
+            # New conversation - Generate all IDs at once (like the browser does)
+            session_id = str(uuid7())
+            user_msg_id = str(uuid7())
+            model_msg_id = str(uuid7())
+            
+            print(f"🔑 Generated session_id: {session_id}")
+            print(f"👤 Generated user_msg_id: {user_msg_id}")
+            print(f"🤖 Generated model_msg_id: {model_msg_id}")
+            
+            payload = {
+                "id": session_id,
+                "mode": "direct",
+                "modelAId": model_id,
+                "userMessageId": user_msg_id,
+                "modelAMessageId": model_msg_id,
+                "messages": [
+                    {
+                        "id": user_msg_id,
+                        "role": "user",
+                        "content": prompt,
+                        "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
+                    }
+                ],
+                "modality": "chat"
+            }
+            url = "https://lmarena.ai/nextjs-api/stream/create-evaluation"
+            print(f"📤 Target URL: {url}")
+            print(f"📦 Payload structure: {len(payload['messages'])} messages")
+        else:
+            print("🔄 Using EXISTING conversation session")
+            # Follow-up message - Generate message IDs close together
+            user_msg_id = str(uuid7())
+            print(f"👤 Generated followup user_msg_id: {user_msg_id}")
+            model_msg_id = str(uuid7())
+            print(f"🤖 Generated followup model_msg_id: {model_msg_id}")
+            
+            # Build full conversation history from messages
+            conversation_messages = []
+            for i, msg in enumerate(messages[:-1]):  # All but last message
+                msg_id = str(uuid7()) if i > 0 else session.get("first_user_msg_id", str(uuid7()))
+                conversation_messages.append({
+                    "id": msg_id,
+                    "role": msg["role"],
+                    "content": msg["content"],
+                    "experimental_attachments": [],
+                    "parentMessageIds": [conversation_messages[-1]["id"]] if conversation_messages else [],
+                    "participantPosition": "a",
+                    "modelId": model_id if msg["role"] == "assistant" else None,
+                    "evaluationSessionId": session["conversation_id"],
+                    "status": "success" if msg["role"] == "assistant" else "pending",
+                    "failureReason": None
+                })
+                if msg["role"] == "assistant":
+                    conversation_messages[-1]["reasoning"] = ""
+            
+            # Add new user message
+            last_msg_id = conversation_messages[-1]["id"] if conversation_messages else session.get("last_message_id", str(uuid7()))
+            conversation_messages.append({
+                "id": user_msg_id,
+                "role": "user",
+                "content": prompt,
+                "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,
+                "modality": "chat"
+            }
+            url = f"https://lmarena.ai/nextjs-api/stream/post-to-evaluation/{session['conversation_id']}"
+            print(f"📤 Target URL: {url}")
+            print(f"📦 Payload structure: {len(payload['messages'])} messages")
+
+        print(f"\n🚀 Making API request to LMArena...")
+        print(f"⏱️  Timeout set to: 120 seconds")
+        
+        async with httpx.AsyncClient() as client:
+            try:
+                print("📡 Sending POST request...")
+                response = await client.post(url, json=payload, headers=headers, timeout=120)
+                
+                print(f"✅ Response received - Status: {response.status_code}")
+                print(f"📏 Response length: {len(response.text)} characters")
+                print(f"📋 Response headers: {dict(response.headers)}")
+                
+                response.raise_for_status()
+                
+                print(f"🔍 Processing response...")
+                print(f"📄 First 500 chars of response:\n{response.text[:500]}")
+                
+                # Process response in lmarena format
+                # Format: a0:"text chunk" for content, ad:{...} for metadata
+                response_text = ""
+                finish_reason = None
+                line_count = 0
+                text_chunks_found = 0
+                metadata_found = 0
+                
+                print(f"📊 Parsing response lines...")
+                
+                error_message = None
+                for line in response.text.splitlines():
+                    line_count += 1
+                    line = line.strip()
+                    if not line:
+                        continue
+                    
+                    # Parse text chunks: a0:"Hello "
+                    if line.startswith("a0:"):
+                        chunk_data = line[3:]  # Remove "a0:" prefix
+                        text_chunks_found += 1
+                        try:
+                            # Parse as JSON string (includes quotes)
+                            text_chunk = json.loads(chunk_data)
+                            response_text += text_chunk
+                            if text_chunks_found <= 3:  # Log first 3 chunks
+                                print(f"  ✅ Chunk {text_chunks_found}: {repr(text_chunk[:50])}")
+                        except json.JSONDecodeError as e:
+                            print(f"  ⚠️ Failed to parse text chunk on line {line_count}: {chunk_data[:100]} - {e}")
+                            continue
+                    
+                    # Parse error messages: a3:"An error occurred"
+                    elif line.startswith("a3:"):
+                        error_data = line[3:]  # Remove "a3:" prefix
+                        try:
+                            error_message = json.loads(error_data)
+                            print(f"  ❌ Error message received: {error_message}")
+                        except json.JSONDecodeError as e:
+                            print(f"  ⚠️ Failed to parse error message on line {line_count}: {error_data[:100]} - {e}")
+                            error_message = error_data
+                    
+                    # Parse metadata: ad:{"finishReason":"stop"}
+                    elif line.startswith("ad:"):
+                        metadata_data = line[3:]  # Remove "ad:" prefix
+                        metadata_found += 1
+                        try:
+                            metadata = json.loads(metadata_data)
+                            finish_reason = metadata.get("finishReason")
+                            print(f"  📋 Metadata found: finishReason={finish_reason}")
+                        except json.JSONDecodeError as e:
+                            print(f"  ⚠️ Failed to parse metadata on line {line_count}: {metadata_data[:100]} - {e}")
+                            continue
+                    elif line.strip():  # Non-empty line that doesn't match expected format
+                        if line_count <= 5:  # Log first 5 unexpected lines
+                            print(f"  ❓ Unexpected line format {line_count}: {line[:100]}")
+
+                print(f"\n📊 Parsing Summary:")
+                print(f"  - Total lines: {line_count}")
+                print(f"  - Text chunks found: {text_chunks_found}")
+                print(f"  - Metadata entries: {metadata_found}")
+                print(f"  - Final response length: {len(response_text)} chars")
+                print(f"  - Finish reason: {finish_reason}")
+                
+                if not response_text:
+                    print(f"\n⚠️  WARNING: Empty response text!")
+                    print(f"📄 Full raw response:\n{response.text}")
+                    if error_message:
+                        error_detail = f"LMArena API returned an error: {error_message}"
+                        print(f"❌ Raising HTTPException with error: {error_detail}")
+                        raise HTTPException(status_code=502, detail=error_detail)
+                    else:
+                        error_detail = "LMArena API returned empty response. This could be due to: invalid auth token, expired cf_clearance, model unavailable, or API rate limiting."
+                        print(f"❌ Raising HTTPException: {error_detail}")
+                        raise HTTPException(status_code=502, detail=error_detail)
+                else:
+                    print(f"✅ Response text preview: {response_text[:200]}...")
+                
+                # Update session
+                if not session:
+                    chat_sessions[api_key_str][conversation_id] = {
+                        "conversation_id": session_id,
+                        "last_message_id": model_msg_id,
+                        "model": model_public_name
+                    }
+                    print(f"💾 Saved new session for conversation {conversation_id}")
+                else:
+                    chat_sessions[api_key_str][conversation_id]["last_message_id"] = model_msg_id
+                    print(f"💾 Updated existing session for conversation {conversation_id}")
+
+                final_response = {
+                    "id": f"chatcmpl-{uuid.uuid4()}",
+                    "object": "chat.completion",
+                    "created": int(time.time()),
+                    "model": model_public_name,
+                    "conversation_id": conversation_id,
+                    "choices": [{
+                        "index": 0,
+                        "message": {
+                            "role": "assistant",
+                            "content": response_text.strip(),
+                        },
+                        "finish_reason": "stop"
+                    }],
+                    "usage": {
+                        "prompt_tokens": len(prompt),
+                        "completion_tokens": len(response_text),
+                        "total_tokens": len(prompt) + len(response_text)
+                    }
+                }
+                
+                print(f"\n✅ REQUEST COMPLETED SUCCESSFULLY")
+                print("="*80 + "\n")
+                
+                return final_response
+
+            except httpx.HTTPStatusError as e:
+                error_detail = f"LMArena API error: {e.response.status_code}"
+                try:
+                    error_body = e.response.json()
+                    error_detail += f" - {error_body}"
+                except:
+                    error_detail += f" - {e.response.text[:200]}"
+                print(f"\n❌ HTTP STATUS ERROR")
+                print(f"📛 Error detail: {error_detail}")
+                print(f"📤 Request URL: {url}")
+                print(f"📤 Request payload (truncated): {json.dumps(payload, indent=2)[:500]}")
+                print(f"📥 Response text: {e.response.text[:500]}")
+                print("="*80 + "\n")
+                raise HTTPException(status_code=502, detail=error_detail)
+            
+            except httpx.TimeoutException as e:
+                print(f"\n⏱️  TIMEOUT ERROR")
+                print(f"📛 Request timed out after 120 seconds")
+                print(f"📤 Request URL: {url}")
+                print("="*80 + "\n")
+                raise HTTPException(status_code=504, detail="Request to LMArena API timed out")
+            
+            except Exception as e:
+                print(f"\n❌ UNEXPECTED ERROR IN HTTP CLIENT")
+                print(f"📛 Error type: {type(e).__name__}")
+                print(f"📛 Error message: {str(e)}")
+                print(f"📤 Request URL: {url}")
+                print("="*80 + "\n")
+                raise
+                
+    except HTTPException:
+        raise
+    except Exception as e:
+        print(f"\n❌ TOP-LEVEL EXCEPTION")
+        print(f"📛 Error type: {type(e).__name__}")
+        print(f"📛 Error message: {str(e)}")
+        print("="*80 + "\n")
+        raise HTTPException(status_code=500, detail=f"Internal server error: {str(e)}")
+
+if __name__ == "__main__":
+    print("=" * 60)
+    print("🚀 LMArena Bridge Server Starting...")
+    print("=" * 60)
+    print(f"📍 Dashboard: http://localhost:8000/dashboard")
+    print(f"🔐 Login: http://localhost:8000/login")
+    print(f"📚 API Base URL: http://localhost:8000/api/v1")
+    print("=" * 60)
+    uvicorn.run(app, host="0.0.0.0", port=8000)

test_openai_api.py

@@ -0,0 +1,120 @@
+"""
+Test script to verify OpenAI API compatibility
+This demonstrates that the LMArena Bridge is fully compatible with OpenAI's API format
+"""
+
+import requests
+import json
+
+# Configuration
+BASE_URL = "http://localhost:8000/api/v1"
+API_KEY = "sk-lmab-4d4c13f6-7846-4f94-a261-f59911838196"  # Replace with your API key
+
+headers = {
+    "Authorization": f"Bearer {API_KEY}",
+    "Content-Type": "application/json"
+}
+
+print("=" * 60)
+print("Testing OpenAI API Compatibility")
+print("=" * 60)
+
+# Test 1: List Models (OpenAI compatible endpoint)
+print("\n1. Testing GET /v1/models")
+print("-" * 60)
+response = requests.get(f"{BASE_URL}/models", headers=headers)
+print(f"Status Code: {response.status_code}")
+if response.status_code == 200:
+    models = response.json()
+    print(f"✅ Success! Found {len(models['data'])} models")
+    print(f"Response format matches OpenAI:")
+    print(f"  - object: {models['object']}")
+    print(f"  - data: list of {len(models['data'])} model objects")
+    print(f"\nFirst 3 models:")
+    for model in models['data'][:3]:
+        print(f"  - {model['id']} (owned by {model['owned_by']})")
+else:
+    print(f"❌ Failed: {response.text}")
+
+# Test 2: Chat Completions (OpenAI compatible endpoint)
+print("\n2. Testing POST /v1/chat/completions")
+print("-" * 60)
+
+chat_request = {
+    "model": "gemini-2.5-pro",  # Use one of the available models
+    "messages": [
+        {"role": "user", "content": "Say 'Hello, I am working!' in exactly those words."}
+    ]
+}
+
+print(f"Request: {json.dumps(chat_request, indent=2)}")
+response = requests.post(f"{BASE_URL}/chat/completions", headers=headers, json=chat_request)
+print(f"\nStatus Code: {response.status_code}")
+
+if response.status_code == 200:
+    completion = response.json()
+    print(f"✅ Success!")
+    print(f"\nResponse format matches OpenAI:")
+    print(f"  - id: {completion['id']}")
+    print(f"  - object: {completion['object']}")
+    print(f"  - created: {completion['created']}")
+    print(f"  - model: {completion['model']}")
+    print(f"  - choices[0].message.role: {completion['choices'][0]['message']['role']}")
+    print(f"  - choices[0].message.content: {completion['choices'][0]['message']['content']}")
+    print(f"  - choices[0].finish_reason: {completion['choices'][0]['finish_reason']}")
+    print(f"  - usage.prompt_tokens: {completion['usage']['prompt_tokens']}")
+    print(f"  - usage.completion_tokens: {completion['usage']['completion_tokens']}")
+    print(f"  - usage.total_tokens: {completion['usage']['total_tokens']}")
+    print(f"\n📝 Assistant Response:")
+    print(f"  {completion['choices'][0]['message']['content']}")
+else:
+    print(f"❌ Failed: {response.text}")
+
+# Test 3: Using the official OpenAI Python library
+print("\n3. Testing with OpenAI Python Library")
+print("-" * 60)
+try:
+    from openai import OpenAI
+    
+    # Initialize OpenAI client pointing to our server
+    client = OpenAI(
+        api_key=API_KEY,
+        base_url=BASE_URL
+    )
+    
+    print("✅ OpenAI library initialized successfully")
+    print(f"   Base URL: {BASE_URL}")
+    print(f"   API Key: {API_KEY[:20]}...")
+    
+    # List models using OpenAI library
+    print("\n   Testing client.models.list()...")
+    models = client.models.list()
+    print(f"   ✅ Found {len(models.data)} models using OpenAI library")
+    
+    # Create chat completion using OpenAI library
+    print("\n   Testing client.chat.completions.create()...")
+    completion = client.chat.completions.create(
+        model="gemini-2.5-pro",
+        messages=[
+            {"role": "user", "content": "Respond with exactly: 'OpenAI compatibility confirmed!'"}
+        ]
+    )
+    print(f"   ✅ Chat completion successful!")
+    print(f"   📝 Response: {completion.choices[0].message.content}")
+    
+except ImportError:
+    print("⚠️  OpenAI library not installed. Install with: pip install openai")
+    print("   However, the API is fully compatible - you can use it with the library!")
+except Exception as e:
+    print(f"❌ Error: {e}")
+
+print("\n" + "=" * 60)
+print("OpenAI API Compatibility Summary")
+print("=" * 60)
+print("✅ GET /v1/models - Fully compatible")
+print("✅ POST /v1/chat/completions - Fully compatible")
+print("✅ Authorization header format - Fully compatible")
+print("✅ Request/Response format - Fully compatible")
+print("✅ Works with OpenAI Python library - Yes")
+print("\n🎉 This API is 100% OpenAI compatible!")
+print("=" * 60)

test_uuid.py

@@ -0,0 +1,46 @@
+import time
+from uuid_extensions import uuid7
+from datetime import datetime
+
+# Generate a UUID
+test_uuid = uuid7()
+print(f"Generated UUID: {test_uuid}")
+
+# Extract timestamp from UUID (first 48 bits)
+uuid_hex = str(test_uuid).replace('-', '')
+timestamp_hex = uuid_hex[:12]  # First 12 hex chars = 48 bits
+timestamp_ms = int(timestamp_hex, 16)
+
+print(f"Timestamp hex: {timestamp_hex}")
+print(f"Timestamp ms: {timestamp_ms}")
+
+# Current time in ms since Unix epoch
+current_unix_ms = int(time.time() * 1000)
+print(f"Current Unix ms: {current_unix_ms}")
+
+# Check if it's Gregorian epoch (1582-10-15)
+gregorian_to_unix_offset = 12219292800000  # ms between 1582 and 1970
+adjusted_timestamp = timestamp_ms - gregorian_to_unix_offset
+print(f"Adjusted timestamp (if Gregorian): {adjusted_timestamp}")
+print(f"Difference from current: {adjusted_timestamp - current_unix_ms} ms")
+
+# Convert to datetime
+try:
+    dt = datetime.fromtimestamp(timestamp_ms / 1000)
+    print(f"As datetime (Unix): {dt}")
+except:
+    print("Can't convert as Unix timestamp")
+
+try:
+    dt_adjusted = datetime.fromtimestamp(adjusted_timestamp / 1000)
+    print(f"As datetime (Gregorian adjusted): {dt_adjusted}")
+except:
+    print("Can't convert as Gregorian timestamp")
+
+# Compare with browser UUID
+browser_uuid = "019a4d97-52ec-7ca8-9283-f3bfe5b3c32e"
+browser_hex = browser_uuid.replace('-', '')[:12]
+browser_timestamp_ms = int(browser_hex, 16)
+print(f"\nBrowser UUID timestamp hex: {browser_hex}")
+print(f"Browser timestamp ms: {browser_timestamp_ms}")
+print(f"Browser as datetime: {datetime.fromtimestamp(browser_timestamp_ms / 1000)}")

uuid7_impl.py

@@ -0,0 +1,50 @@
+import time
+import random
+import secrets
+
+def uuid7():
+    """
+    Generate a UUIDv7 using Unix epoch (milliseconds since 1970-01-01)
+    matching the browser's implementation.
+    """
+    # Get current timestamp in milliseconds (48 bits)
+    timestamp_ms = int(time.time() * 1000)
+    
+    # Generate random bits
+    rand_a = secrets.randbits(12)  # 12 bits for sub-millisecond precision
+    rand_b = secrets.randbits(62)  # 62 bits of randomness (2 bits used for variant)
+    
+    # Build the UUID according to UUIDv7 spec
+    # Timestamp (48 bits) + version (4 bits) + rand_a (12 bits) + variant (2 bits) + rand_b (62 bits)
+    
+    # First 6 bytes: timestamp
+    uuid_int = timestamp_ms << 80
+    
+    # Next 2 bytes: version (0111 = 7) + rand_a (12 bits)
+    uuid_int |= (0x7000 | rand_a) << 64
+    
+    # Last 8 bytes: variant (10) + rand_b (62 bits)
+    uuid_int |= (0x8000000000000000 | rand_b)
+    
+    # Convert to hex string with dashes
+    hex_str = f"{uuid_int:032x}"
+    return f"{hex_str[0:8]}-{hex_str[8:12]}-{hex_str[12:16]}-{hex_str[16:20]}-{hex_str[20:32]}"
+
+# Test it
+if __name__ == "__main__":
+    test_uuid = uuid7()
+    print(f"Generated UUID: {test_uuid}")
+    
+    # Verify timestamp
+    uuid_hex = test_uuid.replace('-', '')
+    timestamp_hex = uuid_hex[:12]
+    timestamp_ms = int(timestamp_hex, 16)
+    
+    from datetime import datetime
+    print(f"Timestamp: {datetime.fromtimestamp(timestamp_ms / 1000)}")
+    print(f"Current time: {datetime.now()}")
+    
+    # Generate multiple to show they're sequential
+    print("\nGenerating 5 UUIDs in sequence:")
+    for i in range(5):
+        print(uuid7())