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* Update model configurations, provider implementations, and documentation - Updated model names and aliases for Qwen QVQ 72B and Qwen 2 72B (@TheFirstNoob) - Revised HuggingSpace class configuration, added default_image_model - Added llama-3.2-70b alias for Llama 3.2 70B model in AutonomousAI - Removed BlackboxCreateAgent class - Added gpt-4o alias for Copilot model - Moved api_key to Mhystical class attribute - Added models property with default_model value for Free2GPT - Simplified Jmuz class implementation - Improved image generation and model handling in DeepInfra - Standardized default models and removed aliases in Gemini - Replaced model aliases with direct model list in GlhfChat (@TheFirstNoob) - Removed trailing slash from image generation URL in PollinationsAI (https://github.com/xtekky/gpt4free/issues/2571) - Updated llama and qwen model configurations - Enhanced provider documentation and model details * Removed from (g4f/models.py) 'Yqcloud' provider from Default due to error 'ResponseStatusError: Response 429: 文字过长，请删减后重试。' * Update docs/providers-and-models.md * refactor(g4f/Provider/DDG.py): Add error handling and rate limiting to DDG provider - Add custom exception classes for rate limits, timeouts, and conversation limits - Implement rate limiting with sleep between requests (0.75s minimum delay) - Add model validation method to check supported models - Add proper error handling for API responses with custom exceptions - Improve session cookie handling for conversation persistence - Clean up User-Agent string and remove redundant code - Add proper error propagation through async generator Breaking changes: - New custom exceptions may require updates to error handling code - Rate limiting affects request timing and throughput - Model validation is now stricter Related: - Adds error handling similar to standard API clients - Improves reliability and robustness of chat interactions * Update g4f/models.py g4f/Provider/PollinationsAI.py * Update g4f/models.py * Restored provider which was not working and was disabled (g4f/Provider/DeepInfraChat.py) * Fixing a bug with Streaming Completions * Update g4f/Provider/PollinationsAI.py * Update g4f/Provider/Blackbox.py g4f/Provider/DDG.py * Added another model for generating images 'ImageGeneration2' to the 'Blackbox' provider * Update docs/providers-and-models.md * Update g4f/models.py g4f/Provider/Blackbox.py * Added a new OIVSCode provider from the Text Models and Vision (Image Upload) model * Update docs/providers-and-models.md * docs: add Conversation Memory class with context handling requested by @TheFirstNoob * Simplified README.md documentation added new docs/configuration.md documentation * Update add README.md docs/configuration.md * Update README.md * Update docs/providers-and-models.md g4f/models.py g4f/Provider/PollinationsAI.py * Added new model deepseek-r1 to Blackbox provider. @TheFirstNoob * Fixed bugs and updated docs/providers-and-models.md etc/unittest/client.py g4f/models.py g4f/Provider/. --------- Co-authored-by: kqlio67 <> Co-authored-by: H Lohaus <hlohaus@users.noreply.github.com>
62 lines
1.7 KiB
Python
62 lines
1.7 KiB
Python
from __future__ import annotations
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from ..typing import AsyncResult, Messages
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from .needs_auth.OpenaiAPI import OpenaiAPI
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"""
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Mhystical.cc
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~~~~~~~~~~~~
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Author: NoelP.dev
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Last Updated: 2024-05-11
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Author Site: https://noelp.dev
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Provider Site: https://mhystical.cc
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"""
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class Mhystical(OpenaiAPI):
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label = "Mhystical"
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url = "https://mhystical.cc"
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api_endpoint = "https://api.mhystical.cc/v1/completions"
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login_url = "https://mhystical.cc/dashboard"
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api_key = "mhystical"
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working = True
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needs_auth = False
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supports_stream = False # Set to False, as streaming is not specified in ChatifyAI
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supports_system_message = False
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default_model = 'gpt-4'
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models = [default_model]
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@classmethod
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def get_model(cls, model: str, **kwargs) -> str:
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cls.last_model = cls.default_model
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return cls.default_model
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@classmethod
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def create_async_generator(
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cls,
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model: str,
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messages: Messages,
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stream: bool = False,
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api_key: str = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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"x-api-key": cls.api_key,
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"Content-Type": "application/json",
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"accept": "*/*",
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"cache-control": "no-cache",
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"origin": cls.url,
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"referer": f"{cls.url}/",
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"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36"
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}
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return super().create_async_generator(
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model=model,
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messages=messages,
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stream=cls.supports_stream,
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api_endpoint=cls.api_endpoint,
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headers=headers,
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**kwargs
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)
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