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import logging
import json
from typing import Iterator
try:
import webview
except ImportError:
...
from g4f import version, models
from g4f import get_last_provider, ChatCompletion
from g4f.errors import VersionNotFoundError
from g4f.Provider import ProviderType, __providers__, __map__
from g4f.providers.base_provider import ProviderModelMixin
from g4f.Provider.bing.create_images import patch_provider
from g4f.Provider.Bing import Conversation
conversations: dict[str, Conversation] = {}
class Api():
def get_models(self) -> list[str]:
"""
Return a list of all models.
Fetches and returns a list of all available models in the system.
Returns:
List[str]: A list of model names.
"""
return models._all_models
def get_provider_models(self, provider: str) -> list[dict]:
if provider in __map__:
provider: ProviderType = __map__[provider]
if issubclass(provider, ProviderModelMixin):
return [{"model": model, "default": model == provider.default_model} for model in provider.get_models()]
elif provider.supports_gpt_35_turbo or provider.supports_gpt_4:
return [
*([{"model": "gpt-4", "default": not provider.supports_gpt_4}] if provider.supports_gpt_4 else []),
*([{"model": "gpt-3.5-turbo", "default": not provider.supports_gpt_4}] if provider.supports_gpt_35_turbo else [])
]
else:
return [];
def get_providers(self) -> list[str]:
"""
Return a list of all working providers.
"""
return [provider.__name__ for provider in __providers__ if provider.working]
def get_version(self):
"""
Returns the current and latest version of the application.
Returns:
dict: A dictionary containing the current and latest version.
"""
try:
current_version = version.utils.current_version
except VersionNotFoundError:
current_version = None
return {
"version": current_version,
"latest_version": version.utils.latest_version,
}
def generate_title(self):
"""
Generates and returns a title based on the request data.
Returns:
dict: A dictionary with the generated title.
"""
return {'title': ''}
def get_conversation(self, options: dict, **kwargs) -> Iterator:
window = webview.active_window()
for message in self._create_response_stream(
self._prepare_conversation_kwargs(options, kwargs),
options.get("conversation_id")
):
window.evaluate_js(f"this.add_message_chunk({json.dumps(message)})")
def _prepare_conversation_kwargs(self, json_data: dict, kwargs: dict):
"""
Prepares arguments for chat completion based on the request data.
Reads the request and prepares the necessary arguments for handling
a chat completion request.
Returns:
dict: Arguments prepared for chat completion.
"""
provider = json_data.get('provider', None)
if "image" in kwargs and provider is None:
provider = "Bing"
if provider == 'OpenaiChat':
kwargs['auto_continue'] = True
messages = json_data['messages']
if json_data.get('web_search'):
if provider == "Bing":
kwargs['web_search'] = True
else:
from .internet import get_search_message
messages[-1]["content"] = get_search_message(messages[-1]["content"])
conversation_id = json_data.get("conversation_id")
if conversation_id and conversation_id in conversations:
kwargs["conversation"] = conversations[conversation_id]
model = json_data.get('model')
model = model if model else models.default
patch = patch_provider if json_data.get('patch_provider') else None
return {
"model": model,
"provider": provider,
"messages": messages,
"stream": True,
"ignore_stream": True,
"patch_provider": patch,
"return_conversation": True,
**kwargs
}
def _create_response_stream(self, kwargs, conversation_id: str) -> Iterator:
"""
Creates and returns a streaming response for the conversation.
Args:
kwargs (dict): Arguments for creating the chat completion.
Yields:
str: JSON formatted response chunks for the stream.
Raises:
Exception: If an error occurs during the streaming process.
"""
try:
first = True
for chunk in ChatCompletion.create(**kwargs):
if first:
first = False
yield self._format_json("provider", get_last_provider(True))
if isinstance(chunk, Conversation):
conversations[conversation_id] = chunk
yield self._format_json("conversation", conversation_id)
elif isinstance(chunk, Exception):
logging.exception(chunk)
yield self._format_json("message", get_error_message(chunk))
else:
yield self._format_json("content", chunk)
except Exception as e:
logging.exception(e)
yield self._format_json('error', get_error_message(e))
def _format_json(self, response_type: str, content):
"""
Formats and returns a JSON response.
Args:
response_type (str): The type of the response.
content: The content to be included in the response.
Returns:
str: A JSON formatted string.
"""
return {
'type': response_type,
response_type: content
}
def get_error_message(exception: Exception) -> str:
"""
Generates a formatted error message from an exception.
Args:
exception (Exception): The exception to format.
Returns:
str: A formatted error message string.
"""
return f"{get_last_provider().__name__}: {type(exception).__name__}: {exception}"
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