gpt4free/g4f/Provider/Jmuz.py
kqlio67 9def1aa71f
Update model configurations, provider implementations, and documentation (#2577)
* 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>
2025-01-24 03:47:57 +01:00

81 lines
2.6 KiB
Python

from __future__ import annotations
from ..typing import AsyncResult, Messages
from .needs_auth.OpenaiAPI import OpenaiAPI
class Jmuz(OpenaiAPI):
label = "Jmuz"
url = "https://discord.gg/Ew6JzjA2NR"
login_url = None
api_base = "https://jmuz.me/gpt/api/v2"
api_key = "prod"
working = True
needs_auth = False
supports_stream = True
supports_system_message = False
default_model = "gpt-4o"
model_aliases = {
"qwq-32b": "qwq-32b-preview",
"gemini-1.5-flash": "gemini-flash",
"gemini-1.5-pro": "gemini-pro",
"gemini-2.0-flash-thinking": "gemini-thinking",
"deepseek-chat": "deepseek-v3",
}
@classmethod
def get_models(cls, **kwargs):
if not cls.models:
cls.models = super().get_models(api_key=cls.api_key, api_base=cls.api_base)
return cls.models
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
stream: bool = True,
**kwargs
) -> AsyncResult:
model = cls.get_model(model)
headers = {
"Authorization": f"Bearer {cls.api_key}",
"Content-Type": "application/json",
"accept": "*/*",
"user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36"
}
started = False
buffer = ""
async for chunk in super().create_async_generator(
model=model,
messages=messages,
api_base=cls.api_base,
api_key=cls.api_key,
stream=cls.supports_stream,
headers=headers,
**kwargs
):
if isinstance(chunk, str):
buffer += chunk
if "Join for free".startswith(buffer) or buffer.startswith("Join for free"):
if buffer.endswith("\n"):
buffer = ""
continue
if "https://discord.gg/".startswith(buffer) or "https://discord.gg/" in buffer:
if "..." in buffer:
buffer = ""
continue
if "o1-preview".startswith(buffer) or buffer.startswith("o1-preview"):
if "\n" in buffer:
buffer = ""
continue
if not started:
buffer = buffer.lstrip()
if buffer:
started = True
yield buffer
buffer = ""
else:
yield chunk