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-rw-r--r--g4f/Provider/AmigoChat.py190
1 files changed, 190 insertions, 0 deletions
diff --git a/g4f/Provider/AmigoChat.py b/g4f/Provider/AmigoChat.py
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+++ b/g4f/Provider/AmigoChat.py
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+from __future__ import annotations
+
+import json
+import uuid
+from aiohttp import ClientSession, ClientTimeout, ClientResponseError
+
+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())
+ max_retries = 3
+ retry_count = 0
+
+ while retry_count < max_retries:
+ try:
+ headers = {
+ "accept": "*/*",
+ "accept-language": "en-US,en;q=0.9",
+ "authorization": "Bearer",
+ "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
+
+ break
+
+ except (ClientResponseError, Exception) as e:
+ retry_count += 1
+ if retry_count >= max_retries:
+ raise e
+ device_uuid = str(uuid.uuid4())