abc 9140541179 ~ | improve compatibility před 1 rokem
..
create_provider.py cadc507fad Add AiChatOnline, ChatgptDemoAi, ChatgptNext Providers před 1 rokem
improve_code.py 3982f39424 'Refactored by Sourcery' (#1125) před 1 rokem
provider_init.py fdd8ef1fc3 ~ | new folder inluding `./tool`and `./testing` před 1 rokem
readme_table.py 745ea57c63 Add auto_continue to OpenaiChat před 1 rokem
translate_readme.py ba9d5ed6ba Add translate readme module před 1 rokem
vercel.py 9140541179 ~ | improve compatibility před 1 rokem

readme_table.py

import re
import sys
from pathlib import Path
from urllib.parse import urlparse

sys.path.append(str(Path(__file__).parent.parent.parent))

import asyncio
from g4f import models
from g4f import ChatCompletion
from g4f.Provider.base_provider import BaseProvider
from etc.testing._providers import get_providers

from g4f import debug

debug.logging = True


async def test_async(provider: type[BaseProvider]):
if not provider.working:
return False
messages = [{"role": "user", "content": "Hello Assistant!"}]
try:
response = await asyncio.wait_for(ChatCompletion.create_async(
model=models.default,
messages=messages,
provider=provider
), 30)
return bool(response)
except Exception as e:
if debug.logging:
print(f"{provider.__name__}: {e.__class__.__name__}: {e}")
return False


async def test_async_list(providers: list[type[BaseProvider]]):
responses: list = [
test_async(_provider)
for _provider in providers
]
return await asyncio.gather(*responses)


def print_providers():

providers = get_providers()
responses = asyncio.run(test_async_list(providers))

for type in ("GPT-4", "GPT-3.5", "Other"):
lines = [
"",
f"### {type}",
"",
"| Website | Provider | GPT-3.5 | GPT-4 | Stream | Status | Auth |",
"| ------ | ------- | ------- | ----- | ------ | ------ | ---- |",
]
for is_working in (True, False):
for idx, _provider in enumerate(providers):
if is_working != _provider.working:
continue
do_continue = False
if type == "GPT-4" and _provider.supports_gpt_4:
do_continue = True
elif type == "GPT-3.5" and not _provider.supports_gpt_4 and _provider.supports_gpt_35_turbo:
do_continue = True
elif type == "Other" and not _provider.supports_gpt_4 and not _provider.supports_gpt_35_turbo:
do_continue = True
if not do_continue:
continue
netloc = urlparse(_provider.url).netloc
website = f"[{netloc}]({_provider.url})"

provider_name = f"`g4f.Provider.{_provider.__name__}`"

has_gpt_35 = "✔️" if _provider.supports_gpt_35_turbo else "❌"
has_gpt_4 = "✔️" if _provider.supports_gpt_4 else "❌"
stream = "✔️" if _provider.supports_stream else "❌"
if _provider.working:
status = '![Active](https://img.shields.io/badge/Active-brightgreen)'
if responses[idx]:
status = '![Active](https://img.shields.io/badge/Active-brightgreen)'
else:
status = '![Unknown](https://img.shields.io/badge/Unknown-grey)'
else:
status = '![Inactive](https://img.shields.io/badge/Inactive-red)'
auth = "✔️" if _provider.needs_auth else "❌"

lines.append(
f"| {website} | {provider_name} | {has_gpt_35} | {has_gpt_4} | {stream} | {status} | {auth} |"
)
print("\n".join(lines))

def print_models():
base_provider_names = {
"cohere": "Cohere",
"google": "Google",
"openai": "OpenAI",
"anthropic": "Anthropic",
"replicate": "Replicate",
"huggingface": "Huggingface",
}
provider_urls = {
"Bard": "https://bard.google.com/",
"H2o": "https://www.h2o.ai/",
"Vercel": "https://sdk.vercel.ai/",
}

lines = [
"| Model | Base Provider | Provider | Website |",
"| ----- | ------------- | -------- | ------- |",
]

_models = get_models()
for model in _models:
if not model.best_provider or model.best_provider.__name__ not in provider_urls:
continue

name = re.split(r":|/", model.name)[-1]
base_provider = base_provider_names[model.base_provider]
provider_name = f"g4f.provider.{model.best_provider.__name__}"
provider_url = provider_urls[model.best_provider.__name__]
netloc = urlparse(provider_url).netloc
website = f"[{netloc}]({provider_url})"

lines.append(f"| {name} | {base_provider} | {provider_name} | {website} |")

print("\n".join(lines))


def get_models():
_models = [item[1] for item in models.__dict__.items()]
_models = [model for model in _models if type(model) is models.Model]
return [model for model in _models if model.name not in ["gpt-3.5-turbo", "gpt-4"]]


if __name__ == "__main__":
print_providers()
print("\n", "-" * 50, "\n")
print_models()