1 files changed, 178 insertions, 0 deletions

diff --git a/g4f/Provider/AmigoChat.py b/g4f/Provider/AmigoChat.py
new file mode 100644
index 00000000..6e22094c
--- /dev/null
+++ b/g4f/Provider/AmigoChat.py
@@ -0,0 +1,178 @@
+from __future__ import annotations
+
+import json
+import uuid
+from aiohttp import ClientSession, ClientTimeout
+
+from ..typing import AsyncResult, Messages
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from .helper import format_prompt
+from ..image import ImageResponse
+
+class AmigoChat(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://amigochat.io/chat/"
+    chat_api_endpoint = "https://api.amigochat.io/v1/chat/completions"
+    image_api_endpoint = "https://api.amigochat.io/v1/images/generations"
+    working = True
+    supports_gpt_4 = True
+    supports_stream = True
+    supports_system_message = True
+    supports_message_history = True
+    
+    default_model = 'gpt-4o-mini'
+    
+    chat_models = [
+        'gpt-4o',
+        default_model,
+        'o1-preview',
+        'o1-mini',
+        'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo',
+        'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
+        'claude-3-sonnet-20240229',
+        'gemini-1.5-pro',
+    ]
+    
+    image_models = [
+        'flux-pro/v1.1',
+        'flux-realism',
+        'flux-pro',
+        'dalle-e-3',
+    ]
+    
+    models = [*chat_models, *image_models]
+    
+    model_aliases = {
+        "o1": "o1-preview",
+        "llama-3.1-405b": "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
+        "llama-3.2-90b": "meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo",
+        "claude-3.5-sonnet": "claude-3-sonnet-20240229",
+        "gemini-pro": "gemini-1.5-pro",
+        
+        "flux-pro": "flux-pro/v1.1",
+        "dalle-3": "dalle-e-3",
+    }
+
+    persona_ids = {
+        'gpt-4o': "gpt",
+        'gpt-4o-mini': "amigo",
+        'o1-preview': "openai-o-one",
+        'o1-mini': "openai-o-one-mini",
+        'meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo': "llama-three-point-one",
+        'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo': "llama-3-2",
+        'claude-3-sonnet-20240229': "claude",
+        'gemini-1.5-pro': "gemini-1-5-pro",
+        'flux-pro/v1.1': "flux-1-1-pro",
+        'flux-realism': "flux-realism",
+        'flux-pro': "flux-pro",
+        'dalle-e-3': "dalle-three",
+    }
+
+    @classmethod
+    def get_model(cls, model: str) -> str:
+        if model in cls.models:
+            return model
+        elif model in cls.model_aliases:
+            return cls.model_aliases[model]
+        else:
+            return cls.default_chat_model if model in cls.chat_models else cls.default_image_model
+
+    @classmethod
+    def get_personaId(cls, model: str) -> str:
+        return cls.persona_ids[model]
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        proxy: str = None,
+        stream: bool = False,
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        
+        device_uuid = str(uuid.uuid4())
+
+        headers = {
+            "accept": "*/*",
+            "accept-language": "en-US,en;q=0.9",
+            "authorization": "Bearer",  # You need to implement proper authorization
+            "cache-control": "no-cache",
+            "content-type": "application/json",
+            "origin": cls.url,
+            "pragma": "no-cache",
+            "priority": "u=1, i",
+            "referer": f"{cls.url}/",
+            "sec-ch-ua": '"Chromium";v="129", "Not=A?Brand";v="8"',
+            "sec-ch-ua-mobile": "?0",
+            "sec-ch-ua-platform": '"Linux"',
+            "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36",
+            "x-device-language": "en-US",
+            "x-device-platform": "web",
+            "x-device-uuid": device_uuid,
+            "x-device-version": "1.0.32"
+        }
+        
+        async with ClientSession(headers=headers) as session:
+            if model in cls.chat_models:
+                # Chat completion
+                data = {
+                    "messages": [{"role": m["role"], "content": m["content"]} for m in messages],
+                    "model": model,
+                    "personaId": cls.get_personaId(model),
+                    "frequency_penalty": 0,
+                    "max_tokens": 4000,
+                    "presence_penalty": 0,
+                    "stream": stream,
+                    "temperature": 0.5,
+                    "top_p": 0.95
+                }
+                
+                timeout = ClientTimeout(total=300)  # 5 minutes timeout
+                async with session.post(cls.chat_api_endpoint, json=data, proxy=proxy, timeout=timeout) as response:
+                    if response.status not in (200, 201):
+                        error_text = await response.text()
+                        raise Exception(f"Error {response.status}: {error_text}")
+                    
+                    async for line in response.content:
+                        line = line.decode('utf-8').strip()
+                        if line.startswith('data: '):
+                            if line == 'data: [DONE]':
+                                break
+                            try:
+                                chunk = json.loads(line[6:])  # Remove 'data: ' prefix
+                                if 'choices' in chunk and len(chunk['choices']) > 0:
+                                    choice = chunk['choices'][0]
+                                    if 'delta' in choice:
+                                        content = choice['delta'].get('content')
+                                    elif 'text' in choice:
+                                        content = choice['text']
+                                    else:
+                                        content = None
+                                    if content:
+                                        yield content
+                            except json.JSONDecodeError:
+                                pass
+            else:
+                # Image generation
+                prompt = messages[0]['content']
+                data = {
+                    "prompt": prompt,
+                    "model": model,
+                    "personaId": cls.get_personaId(model)
+                }
+                async with session.post(cls.image_api_endpoint, json=data, proxy=proxy) as response:
+                    response.raise_for_status()
+                    
+                    response_data = await response.json()
+                    
+                    if "data" in response_data:
+                        image_urls = []
+                        for item in response_data["data"]:
+                            if "url" in item:
+                                image_url = item["url"]
+                                image_urls.append(image_url)
+                        if image_urls:
+                            yield ImageResponse(image_urls, prompt)
+                    else:
+                        yield None