| import re | |
| import sys | |
| from pathlib import Path | |
| from urllib.parse import urlparse | |
| sys.path.append(str(Path(__file__).parent.parent)) | |
| from g4f import models, Provider | |
| from g4f.Provider.base_provider import BaseProvider | |
| from testing.test_providers import test | |
| def main(): | |
| print_providers() | |
| print("\n", "-" * 50, "\n") | |
| print_models() | |
| def print_providers(): | |
| lines = [ | |
| "| Website| Provider| gpt-3.5 | gpt-4 | Streaming | Status | Auth |", | |
| "| ------ | ------- | ------- | ----- | --------- | ------ | ---- |", | |
| ] | |
| providers = get_providers() | |
| for is_working in (True, False): | |
| for _provider in providers: | |
| if is_working != _provider.working: | |
| continue | |
| netloc = urlparse(_provider.url).netloc | |
| website = f"[{netloc}]({_provider.url})" | |
| provider_name = f"g4f.provider.{_provider.__name__}" | |
| has_gpt_35 = "βοΈ" if _provider.supports_gpt_35_turbo else "β" | |
| has_gpt_4 = "βοΈ" if _provider.supports_gpt_4 else "β" | |
| stream = "βοΈ" if _provider.supports_stream else "β" | |
| if _provider.working: | |
| if test(_provider): | |
| status = '' | |
| else: | |
| status = '' | |
| else: | |
| status = '' | |
| auth = "βοΈ" if _provider.needs_auth else "β" | |
| lines.append( | |
| f"| {website} | {provider_name} | {has_gpt_35} | {has_gpt_4} | {stream} | {status} | {auth} |" | |
| ) | |
| print("\n".join(lines)) | |
| def get_providers() -> list[type[BaseProvider]]: | |
| provider_names = dir(Provider) | |
| ignore_names = [ | |
| "base_provider", | |
| "BaseProvider", | |
| ] | |
| provider_names = [ | |
| provider_name | |
| for provider_name in provider_names | |
| if not provider_name.startswith("__") and provider_name not in ignore_names | |
| ] | |
| return [getattr(Provider, provider_name) for provider_name in provider_names] | |
| 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 model.best_provider.__name__ not in provider_urls: | |
| continue | |
| split_name = re.split(r":|/", model.name) | |
| name = split_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__": | |
| main() | |