Update model list / providers

g4f/Provider/Cohere.py

@@ -9,7 +9,7 @@ from .helper import format_prompt
 
 class Cohere(AbstractProvider):
     url                   = "https://cohereforai-c4ai-command-r-plus.hf.space"
-    working               = True
+    working               = False
     supports_gpt_35_turbo = False
     supports_gpt_4        = False
     supports_stream       = True

g4f/Provider/DuckDuckGo.py

@@ -16,8 +16,11 @@ class DuckDuckGo(AsyncGeneratorProvider, ProviderModelMixin):
     supports_message_history = True
 
     default_model = "gpt-3.5-turbo-0125"
-    models = ["gpt-3.5-turbo-0125", "claude-instant-1.2"]
+    models = ["gpt-3.5-turbo-0125", "claude-3-haiku-20240307"]
-    model_aliases = {"gpt-3.5-turbo": "gpt-3.5-turbo-0125"}
+    model_aliases = {
+        "gpt-3.5-turbo": "gpt-3.5-turbo-0125",
+        "claude-3-haiku": "claude-3-haiku-20240307"
+    }
 
     status_url = "https://duckduckgo.com/duckchat/v1/status"
     chat_url = "https://duckduckgo.com/duckchat/v1/chat"

g4f/Provider/Llama.py

@@ -9,7 +9,7 @@ from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 
 class Llama(AsyncGeneratorProvider, ProviderModelMixin):
     url = "https://www.llama2.ai"
-    working = True
+    working = False
     supports_message_history = True
     default_model = "meta/meta-llama-3-70b-instruct"
     models = [

g4f/Provider/PerplexityLabs.py

@@ -21,11 +21,14 @@ class PerplexityLabs(AsyncGeneratorProvider, ProviderModelMixin):
         "related"
     ]
     model_aliases = {
-        "mistralai/Mistral-7B-Instruct-v0.1": "mistral-7b-instruct", 
+        "mistralai/Mistral-7B-Instruct-v0.1": "mistral-7b-instruct",
+        "mistralai/Mistral-7B-Instruct-v0.2": "mistral-7b-instruct",
         "mistralai/Mixtral-8x7B-Instruct-v0.1": "mixtral-8x7b-instruct",
         "codellama/CodeLlama-70b-Instruct-hf": "codellama-70b-instruct",
         "llava-v1.5-7b": "llava-v1.5-7b-wrapper",
-        'databricks/dbrx-instruct': "dbrx-instruct"
+        "databricks/dbrx-instruct": "dbrx-instruct",
+        "meta-llama/Meta-Llama-3-70B-Instruct": "llama-3-70b-instruct",
+        "meta-llama/Meta-Llama-3-8B-Instruct": "llama-3-8b-instruct"
     }
 
     @classmethod

g4f/Provider/__init__.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from ..providers.types          import BaseProvider, ProviderType
-from ..providers.retry_provider import RetryProvider, IterProvider
+from ..providers.retry_provider import RetryProvider, IterListProvider
 from ..providers.base_provider  import AsyncProvider, AsyncGeneratorProvider
 from ..providers.create_images  import CreateImagesProvider
 

g4f/Provider/needs_auth/OpenaiChat.py

@@ -373,6 +373,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
             except NoValidHarFileError as e:
                 if cls._api_key is None and cls.needs_auth:
                     raise e
+                cls._create_request_args()
 
             if cls.default_model is None:
                 cls.default_model = cls.get_model(await cls.get_default_model(session, cls._headers))
@@ -420,7 +421,7 @@ class OpenaiChat(AsyncGeneratorProvider, ProviderModelMixin):
                         **requirements["proofofwork"],
                         user_agent=cls._headers["user-agent"],
                         proofTokens=proofTokens
-                    )           
+                    )
                 if debug.logging:
                     print(
                         'Arkose:', False if not need_arkose else arkose_token[:12]+"...",

g4f/models.py

@@ -2,27 +2,27 @@ from __future__  import annotations
 
 from dataclasses import dataclass
 
-from .Provider import RetryProvider, ProviderType
+from .Provider import IterListProvider, ProviderType
 from .Provider import (
     Aichatos,
     Bing,
     Blackbox,
-    Chatgpt4Online,
     ChatgptAi,
     ChatgptNext,
-    Cohere,
     Cnote,
     DeepInfra,
+    DuckDuckGo,
+    Ecosia,
     Feedough,
     FreeGpt,
     Gemini,
-    GeminiProChat,
+    GeminiPro,
     GigaChat,
     HuggingChat,
     HuggingFace,
     Koala,
     Liaobots,
-    Llama,
+    MetaAI,
     OpenaiChat,
     PerplexityLabs,
     Replicate,
@@ -32,7 +32,6 @@ from .Provider import (
     Reka
 )
 
-
 @dataclass(unsafe_hash=True)
 class Model:
     """
@@ -55,12 +54,12 @@ class Model:
 default = Model(
     name          = "",
     base_provider = "",
-    best_provider = RetryProvider([
+    best_provider = IterListProvider([
         Bing,
         ChatgptAi,
         You,
-        Chatgpt4Online,
+        OpenaiChat,
-        OpenaiChat
+        Ecosia,
     ])
 )
 
@@ -68,11 +67,14 @@ default = Model(
 gpt_35_long = Model(
     name          = 'gpt-3.5-turbo',
     base_provider = 'openai',
-    best_provider = RetryProvider([
+    best_provider = IterListProvider([
         FreeGpt,
         You,
         ChatgptNext,
         OpenaiChat,
+        Koala,
+        Ecosia,
+        DuckDuckGo,
     ])
 )
 
@@ -80,7 +82,7 @@ gpt_35_long = Model(
 gpt_35_turbo = Model(
     name          = 'gpt-3.5-turbo',
     base_provider = 'openai',
-    best_provider = RetryProvider([
+    best_provider = IterListProvider([
         FreeGpt,
         You,
         ChatgptNext,
@@ -95,7 +97,7 @@ gpt_35_turbo = Model(
 gpt_4 = Model(
     name          = 'gpt-4',
     base_provider = 'openai',
-    best_provider = RetryProvider([
+    best_provider = IterListProvider([
         Bing, Liaobots, 
     ])
 )
@@ -103,8 +105,8 @@ gpt_4 = Model(
 gpt_4o = Model(
     name          = 'gpt-4o',
     base_provider = 'openai',
-    best_provider = RetryProvider([
+    best_provider = IterListProvider([
-        You
+        You, Liaobots
     ])
 )
 
@@ -120,46 +122,22 @@ gigachat = Model(
     best_provider = GigaChat
 )
 
-gigachat_plus = Model(
+meta = Model(
-    name          = 'GigaChat-Plus',
+    name          = "meta",
-    base_provider = 'gigachat',
-    best_provider = GigaChat
-)
-
-gigachat_pro = Model(
-    name          = 'GigaChat-Pro',
-    base_provider = 'gigachat',
-    best_provider = GigaChat
-)
-
-llama2_7b = Model(
-    name          = "meta-llama/Llama-2-7b-chat-hf",
-    base_provider = 'meta',
-    best_provider = RetryProvider([Llama, DeepInfra])
-)
-
-llama2_13b = Model(
-    name          = "meta-llama/Llama-2-13b-chat-hf",
-    base_provider = 'meta',
-    best_provider = RetryProvider([Llama, DeepInfra])
-)
-
-llama2_70b = Model(
-    name          = "meta-llama/Llama-2-70b-chat-hf",
     base_provider = "meta",
-    best_provider = RetryProvider([Llama, DeepInfra])
+    best_provider = MetaAI
 )
 
 llama3_8b_instruct = Model(
     name          = "meta-llama/Meta-Llama-3-8B-Instruct",
     base_provider = "meta",
-    best_provider = RetryProvider([Llama, DeepInfra, Replicate])
+    best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
 )
 
 llama3_70b_instruct = Model(
     name          = "meta-llama/Meta-Llama-3-70B-Instruct",
     base_provider = "meta",
-    best_provider = RetryProvider([Llama, DeepInfra])
+    best_provider = IterListProvider([DeepInfra, PerplexityLabs, Replicate])
 )
 
 codellama_34b_instruct = Model(
@@ -171,61 +149,30 @@ codellama_34b_instruct = Model(
 codellama_70b_instruct = Model(
     name          = "codellama/CodeLlama-70b-Instruct-hf",
     base_provider = "meta",
-    best_provider = RetryProvider([DeepInfra, PerplexityLabs])
+    best_provider = IterListProvider([DeepInfra, PerplexityLabs])
 )
 
 # Mistral
 mixtral_8x7b = Model(
     name          = "mistralai/Mixtral-8x7B-Instruct-v0.1",
     base_provider = "huggingface",
-    best_provider = RetryProvider([DeepInfra, HuggingFace, PerplexityLabs])
+    best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs])
 )
 
 mistral_7b = Model(
     name          = "mistralai/Mistral-7B-Instruct-v0.1",
     base_provider = "huggingface",
-    best_provider = RetryProvider([HuggingChat, HuggingFace, PerplexityLabs])
+    best_provider = IterListProvider([HuggingChat, HuggingFace, PerplexityLabs])
 )
 
 mistral_7b_v02 = Model(
     name          = "mistralai/Mistral-7B-Instruct-v0.2",
     base_provider = "huggingface",
-    best_provider = DeepInfra
+    best_provider = IterListProvider([DeepInfra, HuggingFace, PerplexityLabs])
-)
-
-mixtral_8x22b = Model(
-    name          = "HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1",
-    base_provider = "huggingface",
-    best_provider = DeepInfra
-)
-
-# Misc models
-dolphin_mixtral_8x7b = Model(
-    name          = "cognitivecomputations/dolphin-2.6-mixtral-8x7b",
-    base_provider = "huggingface",
-    best_provider = DeepInfra
-)
-
-lzlv_70b = Model(
-    name          = "lizpreciatior/lzlv_70b_fp16_hf",
-    base_provider = "huggingface",
-    best_provider = DeepInfra
-)
-
-airoboros_70b = Model(
-    name          = "deepinfra/airoboros-70b",
-    base_provider = "huggingface",
-    best_provider = DeepInfra
-)
-
-openchat_35 = Model(
-    name          = "openchat/openchat_3.5",
-    base_provider = "huggingface",
-    best_provider = DeepInfra
 )
 
 # Bard
-gemini = bard = palm = Model(
+gemini = Model(
     name          = 'gemini',
     base_provider = 'google',
     best_provider = Gemini
@@ -234,7 +181,7 @@ gemini = bard = palm = Model(
 claude_v2 = Model(
     name          = 'claude-v2',
     base_provider = 'anthropic',
-    best_provider = RetryProvider([Vercel])
+    best_provider = IterListProvider([Vercel])
 )
 
 claude_3_opus = Model(
@@ -249,6 +196,12 @@ claude_3_sonnet = Model(
     best_provider = You
 )
 
+claude_3_haiku = Model(
+    name          = 'claude-3-haiku',
+    base_provider = 'anthropic',
+    best_provider = DuckDuckGo
+)
+
 gpt_35_turbo_16k = Model(
     name          = 'gpt-3.5-turbo-16k',
     base_provider = 'openai',
@@ -288,7 +241,7 @@ gpt_4_32k_0613 = Model(
 gemini_pro = Model(
     name          = 'gemini-pro',
     base_provider = 'google',
-    best_provider = RetryProvider([GeminiProChat, You])
+    best_provider = IterListProvider([GeminiPro, You])
 )
 
 pi = Model(
@@ -300,13 +253,13 @@ pi = Model(
 dbrx_instruct = Model(
     name = 'databricks/dbrx-instruct',
     base_provider = 'mistral',
-    best_provider = RetryProvider([DeepInfra, PerplexityLabs])
+    best_provider = IterListProvider([DeepInfra, PerplexityLabs])
 )
 
 command_r_plus = Model(
     name = 'CohereForAI/c4ai-command-r-plus',
     base_provider = 'mistral',
-    best_provider = RetryProvider([HuggingChat, Cohere])
+    best_provider = IterListProvider([HuggingChat])
 )
 
 blackbox = Model(
@@ -334,9 +287,8 @@ class ModelUtils:
         'gpt-3.5-turbo-0613'     : gpt_35_turbo_0613,
         'gpt-3.5-turbo-16k'      : gpt_35_turbo_16k,
         'gpt-3.5-turbo-16k-0613' : gpt_35_turbo_16k_0613,
-        
         'gpt-3.5-long': gpt_35_long,
-        
+
         # gpt-4
         'gpt-4o'         : gpt_4o,
         'gpt-4'          : gpt_4,
@@ -345,52 +297,38 @@ class ModelUtils:
         'gpt-4-32k-0613' : gpt_4_32k_0613,
         'gpt-4-turbo'    : gpt_4_turbo,
 
-        # Llama
+        "meta-ai": meta,
-        'llama2-7b' : llama2_7b,
+        'llama3-8b': llama3_8b_instruct, # alias
-        'llama2-13b': llama2_13b,
-        'llama2-70b': llama2_70b,
-        
-        'llama3-8b' : llama3_8b_instruct, # alias
         'llama3-70b': llama3_70b_instruct, # alias
         'llama3-8b-instruct' : llama3_8b_instruct,
         'llama3-70b-instruct': llama3_70b_instruct,
-        
+
         'codellama-34b-instruct': codellama_34b_instruct,
         'codellama-70b-instruct': codellama_70b_instruct,
 
-        # GigaChat
-        'gigachat'     : gigachat,
-        'gigachat_plus': gigachat_plus,
-        'gigachat_pro' : gigachat_pro,
-        
         # Mistral Opensource
         'mixtral-8x7b': mixtral_8x7b,
         'mistral-7b': mistral_7b,
         'mistral-7b-v02': mistral_7b_v02,
-        'mixtral-8x22b': mixtral_8x22b,
+
-        'dolphin-mixtral-8x7b': dolphin_mixtral_8x7b,
-        
         # google gemini
         'gemini': gemini,
         'gemini-pro': gemini_pro,
-        
+
         # anthropic
         'claude-v2': claude_v2,
         'claude-3-opus': claude_3_opus,
         'claude-3-sonnet': claude_3_sonnet,
-        
+        'claude-3-haiku': claude_3_haiku,
+
         # reka core
-        'reka-core': reka_core,
         'reka': reka_core,
-        'Reka Core': reka_core,
+
-        
         # other
         'blackbox': blackbox,
         'command-r+': command_r_plus,
         'dbrx-instruct': dbrx_instruct,
-        'lzlv-70b': lzlv_70b,
+        'gigachat': gigachat,
-        'airoboros-70b': airoboros_70b,
-        'openchat_3.5': openchat_35,
         'pi': pi
     }
 

g4f/providers/retry_provider.py

@@ -4,11 +4,11 @@ import asyncio
 import random
 
 from ..typing import Type, List, CreateResult, Messages, Iterator, AsyncResult
-from .types import BaseProvider, BaseRetryProvider
+from .types import BaseProvider, BaseRetryProvider, ProviderType
 from .. import debug
 from ..errors import RetryProviderError, RetryNoProviderError
 
-class NewBaseRetryProvider(BaseRetryProvider):
+class IterListProvider(BaseRetryProvider):
     def __init__(
         self,
         providers: List[Type[BaseProvider]],
@@ -45,21 +45,17 @@ class NewBaseRetryProvider(BaseRetryProvider):
         Raises:
             Exception: Any exception encountered during the completion process.
         """
-        providers = [p for p in self.providers if stream and p.supports_stream] if stream else self.providers
-        if self.shuffle:
-            random.shuffle(providers)
-
         exceptions = {}
         started: bool = False
 
-        for provider in providers:
+        for provider in self.get_providers(stream):
             self.last_provider = provider
             try:
                 if debug.logging:
                     print(f"Using {provider.__name__} provider")
                 for token in provider.create_completion(model, messages, stream, **kwargs):
                     yield token
-                started = True
+                    started = True
                 if started:
                     return
             except Exception as e:
@@ -87,13 +83,9 @@ class NewBaseRetryProvider(BaseRetryProvider):
         Raises:
             Exception: Any exception encountered during the asynchronous completion process.
         """
-        providers = self.providers
-        if self.shuffle:
-            random.shuffle(providers)
-
         exceptions = {}
 
-        for provider in providers:
+        for provider in self.get_providers(False):
             self.last_provider = provider
             try:
                 if debug.logging:
@@ -109,8 +101,8 @@ class NewBaseRetryProvider(BaseRetryProvider):
 
         raise_exceptions(exceptions)
 
-    def get_providers(self, stream: bool):
+    def get_providers(self, stream: bool) -> list[ProviderType]:
-        providers = [p for p in self.providers if stream and p.supports_stream] if stream else self.providers
+        providers = [p for p in self.providers if p.supports_stream] if stream else self.providers
         if self.shuffle:
             random.shuffle(providers)
         return providers
@@ -138,7 +130,7 @@ class NewBaseRetryProvider(BaseRetryProvider):
                 else:
                     for token in provider.create_completion(model, messages, stream, **kwargs):
                         yield token
-                started = True
+                        started = True
                 if started:
                     return
             except Exception as e:
@@ -150,7 +142,7 @@ class NewBaseRetryProvider(BaseRetryProvider):
 
         raise_exceptions(exceptions)
 
-class RetryProvider(NewBaseRetryProvider):
+class RetryProvider(IterListProvider):
     def __init__(
         self,
         providers: List[Type[BaseProvider]],
@@ -188,11 +180,10 @@ class RetryProvider(NewBaseRetryProvider):
         Raises:
             Exception: Any exception encountered during the completion process.
         """
-        providers = self.get_providers(stream)
+        if self.single_provider_retry:
-        if self.single_provider_retry and len(providers) == 1:
             exceptions = {}
             started: bool = False
-            provider = providers[0]
+            provider = self.providers[0]
             self.last_provider = provider
             for attempt in range(self.max_retries):
                 try:
@@ -200,7 +191,7 @@ class RetryProvider(NewBaseRetryProvider):
                         print(f"Using {provider.__name__} provider (attempt {attempt + 1})")
                     for token in provider.create_completion(model, messages, stream, **kwargs):
                         yield token
-                    started = True
+                        started = True
                     if started:
                         return
                 except Exception as e:
@@ -229,14 +220,10 @@ class RetryProvider(NewBaseRetryProvider):
         Raises:
             Exception: Any exception encountered during the asynchronous completion process.
         """
-        providers = self.providers
-        if self.shuffle:
-            random.shuffle(providers)
-
         exceptions = {}
 
-        if self.single_provider_retry and len(providers) == 1:
+        if self.single_provider_retry:
-            provider = providers[0]
+            provider = self.providers[0]
             self.last_provider = provider
             for attempt in range(self.max_retries):
                 try: