mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-24 11:34:02 +03:00
bb9132bcb4
* refactor(g4f/Provider/Airforce.py): improve model handling and filtering - Add hidden_models set to exclude specific models - Add evil alias for uncensored model handling - Extend filtering for model-specific response tokens - Add response buffering for streamed content - Update model fetching with error handling * refactor(g4f/Provider/Blackbox.py): improve caching and model handling - Add caching system for validated values with file-based storage - Rename 'flux' model to 'ImageGeneration' and update references - Add temperature, top_p and max_tokens parameters to generator - Simplify HTTP headers and remove redundant options - Add model alias mapping for ImageGeneration - Add file system utilities for cache management * feat(g4f/Provider/RobocodersAPI.py): add caching and error handling - Add file-based caching system for access tokens and sessions - Add robust error handling with specific error messages - Add automatic dialog continuation on resource limits - Add HTML parsing with BeautifulSoup for token extraction - Add debug logging for error tracking - Add timeout configuration for API requests * refactor(g4f/Provider/DarkAI.py): update DarkAI default model and aliases - Change default model from llama-3-405b to llama-3-70b - Remove llama-3-405b from supported models list - Remove llama-3.1-405b from model aliases * feat(g4f/Provider/Blackbox2.py): add image generation support - Add image model 'flux' with dedicated API endpoint - Refactor generator to support both text and image outputs - Extract headers into reusable static method - Add type hints for AsyncGenerator return type - Split generation logic into _generate_text and _generate_image methods - Add ImageResponse handling for image generation results BREAKING CHANGE: create_async_generator now returns AsyncGenerator instead of AsyncResult * refactor(g4f/Provider/ChatGptEs.py): update ChatGptEs model configuration - Update models list to include gpt-3.5-turbo - Remove chatgpt-4o-latest from supported models - Remove model_aliases mapping for gpt-4o * feat(g4f/Provider/DeepInfraChat.py): add Accept-Language header support - Add Accept-Language header for internationalization - Maintain existing header configuration - Improve request compatibility with language preferences * refactor(g4f/Provider/needs_auth/Gemini.py): add ProviderModelMixin inheritance - Add ProviderModelMixin to class inheritance - Import ProviderModelMixin from base_provider - Move BaseConversation import to base_provider imports * refactor(g4f/Provider/Liaobots.py): update model details and aliases - Add version suffix to o1 model IDs - Update model aliases for o1-preview and o1-mini - Standardize version format across model definitions * refactor(g4f/Provider/PollinationsAI.py): enhance model support and generation - Split generation logic into dedicated image/text methods - Add additional text models including sur and claude - Add width/height parameters for image generation - Add model existence validation - Add hasattr checks for model lists initialization * chore(gitignore): add provider cache directory - Add g4f/Provider/.cache to gitignore patterns * refactor(g4f/Provider/ReplicateHome.py): update model configuration - Update default model to gemma-2b-it - Add default_image_model configuration - Remove llava-13b from supported models - Simplify request headers * feat(g4f/models.py): expand provider and model support - Add new providers DarkAI and PollinationsAI - Add new models for Mistral, Flux and image generation - Update provider lists for existing models - Add P1 and Evil models with experimental providers BREAKING CHANGE: Remove llava-13b model support * refactor(Airforce): Update type hint for split_message return - Change return type of from to for consistency with import. - Maintain overall functionality and structure of the class. - Ensure compatibility with type hinting standards in Python. * refactor(g4f/Provider/Airforce.py): Update type hint for split_message return - Change return type of 'split_message' from 'list[str]' to 'List[str]' for consistency with import. - Maintain overall functionality and structure of the 'Airforce' class. - Ensure compatibility with type hinting standards in Python. * feat(g4f/Provider/RobocodersAPI.py): Add support for optional BeautifulSoup dependency - Introduce a check for the BeautifulSoup library and handle its absence gracefully. - Raise a if BeautifulSoup is not installed, prompting the user to install it. - Remove direct import of BeautifulSoup to avoid import errors when the library is missing. * fix: Updating provider documentation and small fixes in providers * Disabled the provider (RobocodersAPI) * Fix: Conflicting file g4f/models.py * Update g4f/models.py g4f/Provider/Airforce.py * Update docs/providers-and-models.md g4f/models.py g4f/Provider/Airforce.py g4f/Provider/PollinationsAI.py * Update docs/providers-and-models.md * Update .gitignore * Update g4f/models.py * Update g4f/Provider/PollinationsAI.py --------- Co-authored-by: kqlio67 <>
69 lines
2.0 KiB
Python
69 lines
2.0 KiB
Python
from __future__ import annotations
|
|
|
|
import json
|
|
|
|
import requests
|
|
|
|
from ...typing import CreateResult, Messages
|
|
from ..base_provider import AbstractProvider
|
|
|
|
|
|
class Raycast(AbstractProvider):
|
|
url = "https://raycast.com"
|
|
supports_stream = True
|
|
needs_auth = True
|
|
working = True
|
|
|
|
models = [
|
|
"gpt-3.5-turbo",
|
|
"gpt-4"
|
|
]
|
|
|
|
@staticmethod
|
|
def create_completion(
|
|
model: str,
|
|
messages: Messages,
|
|
stream: bool,
|
|
proxy: str = None,
|
|
**kwargs,
|
|
) -> CreateResult:
|
|
auth = kwargs.get('auth')
|
|
if not auth:
|
|
raise ValueError("Raycast needs an auth token, pass it with the `auth` parameter")
|
|
|
|
headers = {
|
|
'Accept': 'application/json',
|
|
'Accept-Language': 'en-US,en;q=0.9',
|
|
'Authorization': f'Bearer {auth}',
|
|
'Content-Type': 'application/json',
|
|
'User-Agent': 'Raycast/0 CFNetwork/1410.0.3 Darwin/22.6.0',
|
|
}
|
|
parsed_messages = [
|
|
{'author': message['role'], 'content': {'text': message['content']}}
|
|
for message in messages
|
|
]
|
|
data = {
|
|
"debug": False,
|
|
"locale": "en-CN",
|
|
"messages": parsed_messages,
|
|
"model": model,
|
|
"provider": "openai",
|
|
"source": "ai_chat",
|
|
"system_instruction": "markdown",
|
|
"temperature": 0.5
|
|
}
|
|
response = requests.post(
|
|
"https://backend.raycast.com/api/v1/ai/chat_completions",
|
|
headers=headers,
|
|
json=data,
|
|
stream=True,
|
|
proxies={"https": proxy}
|
|
)
|
|
for token in response.iter_lines():
|
|
if b'data: ' not in token:
|
|
continue
|
|
completion_chunk = json.loads(token.decode().replace('data: ', ''))
|
|
token = completion_chunk['text']
|
|
if token != None:
|
|
yield token
|