Delete models/vercel

models/vercel/main.py

@@ -1,210 +0,0 @@
-import httpx
-import asyncio
-import random
-import json
-
-class XaiAPI:
-
-    headers = {
-        'accept': '*/*',
-        'accept-language': 'en-US,en;q=0.9,ja;q=0.8',
-        'content-type': 'application/json',
-        'origin': 'https://ai-sdk-starter-xai.vercel.app',
-        'referer': 'https://ai-sdk-starter-xai.vercel.app/',
-        'sec-ch-ua': '"Google Chrome";v="135", "Not-A.Brand";v="8", "Chromium";v="135"',
-        'sec-ch-ua-mobile': '?0',
-        'sec-ch-ua-platform': '"macOS"',
-        'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36'
-    }
-
-
-    def __init__(self):
-        self.base_url = "https://ai-sdk-starter-xai.vercel.app/api/chat"
-
-    def get_model_list(self):
-       models = ["grok-3-mini", "grok-2-1212", "grok-3", "grok-3-fast", "grok-3-mini-fast"]
-       return models
-    
-    def convert(messages):
-        converted = []
-        for message in messages:
-            role = message.get("role", "user")
-            content = message.get("content", "")
-
-            if isinstance(content, list):
-                parts = content
-                text_content = "\n".join([p.get("text", "") for p in content if p.get("type") == "text"])
-            else:
-                text_content = str(content)
-                parts = [{"type": "text", "text": text_content}]
-                if role == "assistant":
-                    parts.insert(0, {"type": "step-start"})
-
-            converted.append({
-                "role": role,
-                "content": text_content,
-                "parts": parts
-            })
-        return converted
-    
-    async def generate(self, json_data: dict):
-        messages = XaiAPI.convert(json_data["messages"])
-        
-        request_data = {
-            "id": "".join(random.choices("0123456789abcdef", k=16)),
-            "messages": messages,
-            "selectedModel": json_data.get("model", "grok-2-1212"),
-        }
-
-        chunk_id = "chipling-xai-" + "".join(random.choices("0123456789abcdef", k=32))
-        created = int(asyncio.get_event_loop().time())
-        total_tokens = 0
-
-        try:
-            async with httpx.AsyncClient(timeout=None) as client:
-                async with client.stream(
-                    "POST",
-                    "https://ai-sdk-starter-xai.vercel.app/api/chat",
-                    headers=XaiAPI.headers,
-                    json=request_data
-                ) as request_ctx:
-                    if request_ctx.status_code == 200:
-                        async for line in request_ctx.aiter_lines():
-                            if line:
-                                if line.startswith('0:'):
-                                    # Clean up the text and properly escape JSON characters
-                                    text = line[2:].strip()
-                                    if text.startswith('"') and text.endswith('"'):
-                                        text = text[1:-1]
-                                    text = text.replace('\\n', '\n').replace('\\', '')
-                                    
-                                    response = {
-                                        "id": chunk_id,
-                                        "object": "chat.completion.chunk",
-                                        "created": created,
-                                        "model": json_data.get("model", "grok-2-1212"),
-                                        "choices": [{
-                                            "index": 0,
-                                            "text": text,
-                                            "logprobs": None,
-                                            "finish_reason": None
-                                        }],
-                                        "usage": None
-                                    }
-                                    yield f"data: {json.dumps(response)}\n\n"
-                                    total_tokens += 1
-                                elif line.startswith('d:'):
-                                    final = {
-                                        "id": chunk_id,
-                                        "object": "chat.completion.chunk", 
-                                        "created": created,
-                                        "model": json_data.get("model", "grok-2-1212"),
-                                        "choices": [],
-                                        "usage": {
-                                            "prompt_tokens": len(messages),
-                                            "completion_tokens": total_tokens,
-                                            "total_tokens": len(messages) + total_tokens
-                                        }
-                                    }
-                                    yield f"data: {json.dumps(final)}\n\n"
-                                    yield "data: [DONE]\n\n"
-                        return
-                    else:
-                        yield f"data: [Unexpected status code: {request_ctx.status_code}]\n\n"
-        except Exception as e:
-            yield f"data: [Connection error: {str(e)}]\n\n"
-
-
-class GroqAPI:
-
-    headers = {
-        'accept': '*/*',
-        'accept-language': 'en-US,en;q=0.9,ja;q=0.8',
-        'content-type': 'application/json',
-        'origin': 'https://ai-sdk-starter-groq.vercel.app',
-        'priority': 'u=1, i',
-        'referer': 'https://ai-sdk-starter-groq.vercel.app/',
-        'sec-ch-ua': '"Google Chrome";v="135", "Not-A.Brand";v="8", "Chromium";v="135"',
-        'sec-ch-ua-mobile': '?0',
-        'sec-ch-ua-platform': '"macOS"',
-        'sec-fetch-dest': 'empty',
-        'sec-fetch-mode': 'cors',
-        'sec-fetch-site': 'same-origin',
-        'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36',
-    }
-
-    def __init__(self):
-        self.base_url = "https://ai-sdk-starter-groq.vercel.app/api/chat"
-
-    def get_model_list(self):
-       models = ['meta-llama/llama-4-scout-17b-16e-instruct', 'llama-3.1-8b-instant', 'llama-3.3-70b-versatile', 'deepseek-r1-distill-llama-70b']
-       return models
-    
-
-    async def generate(self, json_data: dict):
-        messages = XaiAPI.convert(json_data["messages"])
-
-        request_data = {
-            "id": "".join(random.choices("0123456789abcdef", k=16)),
-            "messages": messages,
-            "selectedModel": json_data.get("model", "deepseek-r1-distill-llama-70b"),
-        }
-
-        chunk_id = "chipling-groq-" + "".join(random.choices("0123456789abcdef", k=32))
-        created = int(asyncio.get_event_loop().time())
-        total_tokens = 0
-
-        try:
-            async with httpx.AsyncClient(timeout=None) as client:
-                async with client.stream(
-                    "POST",
-                    "https://ai-sdk-starter-groq.vercel.app/api/chat",
-                    headers=GroqAPI.headers,
-                    json=request_data
-                ) as request_ctx:
-                    print(request_ctx.status_code)
-                    if request_ctx.status_code == 200:
-                        async for line in request_ctx.aiter_lines():
-                            if line:
-                                if line.startswith('0:'):
-                                    # Clean up the text and properly escape JSON characters
-                                    text = line[2:].strip()
-                                    if text.startswith('"') and text.endswith('"'):
-                                        text = text[1:-1]
-                                    text = text.replace('\\n', '\n').replace('\\', '')
-                                    
-                                    response = {
-                                        "id": chunk_id,
-                                        "object": "chat.completion.chunk",
-                                        "created": created,
-                                        "model": json_data.get("model", "deepseek-r1-distill-llama-70b"),
-                                        "choices": [{
-                                            "index": 0,
-                                            "text": text,
-                                            "logprobs": None,
-                                            "finish_reason": None
-                                        }],
-                                        "usage": None
-                                    }
-                                    yield f"data: {json.dumps(response)}\n\n"
-                                    total_tokens += 1
-                                elif line.startswith('d:'):
-                                    final = {
-                                        "id": chunk_id,
-                                        "object": "chat.completion.chunk", 
-                                        "created": created,
-                                        "model": json_data.get("model", "deepseek-r1-distill-llama-70b"),
-                                        "choices": [],
-                                        "usage": {
-                                            "prompt_tokens": len(messages),
-                                            "completion_tokens": total_tokens,
-                                            "total_tokens": len(messages) + total_tokens
-                                        }
-                                    }
-                                    yield f"data: {json.dumps(final)}\n\n"
-                                    yield "data: [DONE]\n\n"
-                        return
-                    else:
-                        yield f"data: [Unexpected status code: {request_ctx.status_code}]\n\n"
-        except Exception as e:
-            yield f"data: [Connection error: {str(e)}]\n\n"