1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
|
import re
import sys
from pathlib import Path
from urllib.parse import urlparse
sys.path.append(str(Path(__file__).parent.parent))
import asyncio
from g4f import models
from g4f.Provider.base_provider import AsyncProvider, BaseProvider
from g4f.Provider.retry_provider import RetryProvider
from testing._providers import get_providers
logging = False
def print_imports():
print("##### Providers:")
print("```py")
print("from g4f.Provider import (")
for _provider in get_providers():
if _provider.working:
print(f" {_provider.__name__},")
print(")")
print("# Usage:")
print("response = g4f.ChatCompletion.create(..., provider=ProviderName)")
print("```")
print()
print()
def print_async():
print("##### Async support:")
print("```py")
print("_providers = [")
for _provider in get_providers():
if _provider.working and issubclass(_provider, AsyncProvider):
print(f" g4f.Provider.{_provider.__name__},")
print("]")
print("```")
print()
print()
async def test_async(provider: type[BaseProvider]):
if not provider.working:
return False
model = models.gpt_35_turbo.name if provider.supports_gpt_35_turbo else models.default.name
messages = [{"role": "user", "content": "Hello Assistant!"}]
try:
if issubclass(provider, AsyncProvider):
response = await provider.create_async(model=model, messages=messages)
else:
response = provider.create_completion(model=model, messages=messages, stream=False)
return True if response else False
except Exception as e:
if 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():
lines = [
"| Website| Provider| gpt-3.5 | gpt-4 | Streaming | Asynchron | Status | Auth |",
"| ------ | ------- | ------- | ----- | --------- | --------- | ------ | ---- |",
]
providers = get_providers()
responses = asyncio.run(test_async_list(providers))
for is_working in (True, False):
for idx, _provider in enumerate(providers):
if is_working != _provider.working:
continue
if _provider == RetryProvider:
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 "❌"
can_async = "✔️" if issubclass(_provider, AsyncProvider) else "❌"
if _provider.working:
status = ''
if responses[idx]:
status = ''
else:
status = ''
else:
status = ''
auth = "✔️" if _provider.needs_auth else "❌"
lines.append(
f"| {website} | {provider_name} | {has_gpt_35} | {has_gpt_4} | {stream} | {can_async} | {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_imports()
print_async()
print_providers()
print("\n", "-" * 50, "\n")
print_models()
|
