User: After looking into the code, I found out how to control which provider the api uses!

You're going to have to manually open models.py located somewhere in your g4f folder, usually located in the following locations:

System-Wide:
C:\Python[Version]\Lib\site-packages\g4f\models.py

Current User:
C:\Users[user]\AppData\Local\Programs\Python\Python[Version]\Lib\site-packages\g4f\models.py

Open it in notepad or whatever default text editor you use and then scroll towards "Text" section near the top, there you'll see
various models with a "best_provider" list, look at the list of providers and remove anything you don't want to use for the given
ChatGPT Model you're using.

For example, if I wanted to remove ChatGptEs when using g4f api with gpt-4o, I'll edit it out like this:

# gpt-4
gpt_4o = Model(
    name          = 'gpt-4o',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([NexraChatGPT, Blackbox, AmigoChat, DarkAI, Editee, GizAI, Airforce, Liaobots, OpenaiChat])
You can customize the list if it supports the given model, otherwise just remove what you don't want the api to use!



啥意思
Assistant: 这段文字是关于如何手动修改一个 Python 库（g4f）的代码，以控制 API 使用哪个服务提供商的说明。

在 `models.py` 文件中，每个模型有一个 `best_provider` 列表，这个列表中列出了该模型可以使用的各种服务提供商（Providers）。您可以根据您的需要编辑此列表，去掉您不希望使用的提供商。

例如，对于 `gpt-4o` 这个模型，如果您不想使用 `ChatGptEs` 作为提供商，您可以编辑这个列表，把 `ChatGptEs` 移除。

具体步骤如下：

1. 找到 `models.py` 文件，它可能位于您的 Python 安装目录下的 `site-packages\g4f` 文件夹中。
2. 用文本编辑器打开 `models.py` 文件。
3. 找到包含 `gpt-4o` 的模型定义。
4. 编辑 `best_provider` 列表，移除您不希望使用的服务提供商。

这样，当您使用这个自定义的 g4f 库调用 API 时，它就不会使用您移除的那些提供商。
User: After looking into the code, I found out how to control which provider the api uses!

You're going to have to manually open models.py located somewhere in your g4f folder, usually located in the following locations:

System-Wide:
C:\Python[Version]\Lib\site-packages\g4f\models.py

Current User:
C:\Users[user]\AppData\Local\Programs\Python\Python[Version]\Lib\site-packages\g4f\models.py

Open it in notepad or whatever default text editor you use and then scroll towards "Text" section near the top, there you'll see
various models with a "best_provider" list, look at the list of providers and remove anything you don't want to use for the given
ChatGPT Model you're using.

For example, if I wanted to remove ChatGptEs when using g4f api with gpt-4o, I'll edit it out like this:

# gpt-4
gpt_4o = Model(
    name          = 'gpt-4o',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([NexraChatGPT, Blackbox, AmigoChat, DarkAI, Editee, GizAI, Airforce, Liaobots, OpenaiChat])
You can customize the list if it supports the given model, otherwise just remove what you don't want the api to use!



啥意思
Assistant: 这段说明解释了如何手动修改一个名为 `g4f` 的 Python 库的代码，以控制 API 使用的服务提供商。

以下是主要步骤的说明：

1. 找到 `models.py` 文件：根据不同的安装方式，文件路径可能有所不同。如果是系统全局安装的 Python，路径通常是 `C:\Python[Version]\Lib\site-packages\g4f\models.py`；如果是当前用户安装的 Python，路径通常是 `C:\Users[user]\AppData\Local\Programs\Python\Python[Version]\Lib\site-packages\g4f\models.py`。

2. 用文本编辑器打开 `models.py` 文件：可以使用 Notepad 或任何默认的文本编辑器。

3. 找到 "Text" 部分：在 `models.py` 的顶部区域，查看定义的各种模型。在这些模型中，有一个 `best_provider` 列表，该列表列出了可以与模型一起使用的服务提供商。

4. 编辑 `best_provider` 列表：根据需要移除列表中不想使用的服务提供商。举例来说，如果不想使用 `ChatGptEs` 作为 `gpt-4o` 模型的服务提供商，那么在列表中将其删除。

最后这段代码给出了一个修改后的 `gpt-4o` 模型示例，其中 `best_provider` 中一些不需要的提供商已经被移除，这样一来，当调用 API 时，就不会使用被移除的那些提供商。您可以根据需要自定义这个列表，只保留支持您使用的模型的提供商。
User: (venv) root@PHK110:~/path/to/venv/lib/python3.12/site-packages/g4f# cat models.py
from __future__  import annotations

from dataclasses import dataclass

from .Provider import IterListProvider, ProviderType
from .Provider import (
    Ai4Chat,
    AIChatFree,
    AiMathGPT,
    Airforce,
    Allyfy,
    AmigoChat,
    Bing,
    Blackbox,
    ChatGpt,
    Chatgpt4Online,
    ChatGptEs,
    ChatgptFree,
    ChatHub,
    ChatifyAI,
    Cloudflare,
    DarkAI,
    DDG,
    DeepInfra,
    DeepInfraChat,
    Editee,
    Free2GPT,
    FreeChatgpt,
    FreeGpt,
    FreeNetfly,
    Gemini,
    GeminiPro,
    GizAI,
    GigaChat,
    GPROChat,
    HuggingChat,
    HuggingFace,
    Koala,
    Liaobots,
    MagickPen,
    MetaAI,
    NexraBing,
    NexraBlackbox,
    NexraChatGPT,
    NexraDallE,
    NexraDallE2,
    NexraEmi,
    NexraFluxPro,
    NexraGeminiPro,
    NexraMidjourney,
    NexraQwen,
    NexraSD15,
    NexraSDLora,
    NexraSDTurbo,
    OpenaiChat,
    PerplexityLabs,
    Pi,
    Pizzagpt,
    Reka,
    Replicate,
    ReplicateHome,
    RubiksAI,
    TeachAnything,
    Upstage,
)


@dataclass(unsafe_hash=True)
class Model:
    """
    Represents a machine learning model configuration.

    Attributes:
        name (str): Name of the model.
        base_provider (str): Default provider for the model.
        best_provider (ProviderType): The preferred provider for the model, typically with retry logic.
    """
    name: str
    base_provider: str
    best_provider: ProviderType = None

    @staticmethod
    def __all__() -> list[str]:
        """Returns a list of all model names."""
        return _all_models


### Default ###
default = Model(
    name          = "",
    base_provider = "",
    best_provider = IterListProvider([
        DDG,
        FreeChatgpt,
        HuggingChat,
        Pizzagpt,
        ReplicateHome,
        Upstage,
        Blackbox,
        Free2GPT,
        MagickPen,
        DeepInfraChat,
        Airforce,
        ChatHub,
        ChatGptEs,
        ChatHub,
        AmigoChat,
        ChatifyAI,
        Cloudflare,
        Editee,
        AiMathGPT,
    ])
)



############
### Text ###
############

### OpenAI ###
# gpt-3
gpt_3 = Model(
    name          = 'gpt-3',
    base_provider = 'OpenAI',
    best_provider = NexraChatGPT
)

# gpt-3.5
gpt_35_turbo = Model(
    name          = 'gpt-3.5-turbo',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([Allyfy, NexraChatGPT, Airforce, DarkAI, Liaobots])
)

# gpt-4
gpt_4o = Model(
    name          = 'gpt-4o',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([NexraChatGPT, Blackbox, ChatGptEs, AmigoChat, DarkAI, Editee, GizAI, Airforce, Liaobots, OpenaiChat])
)

gpt_4o_mini = Model(
    name          = 'gpt-4o-mini',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, AmigoChat, RubiksAI, Liaobots, Airforce, GizAI, ChatgptFree, Koala, OpenaiChat, ChatGpt])
)

gpt_4_turbo = Model(
    name          = 'gpt-4-turbo',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([Liaobots, Airforce, Bing])
)

gpt_4 = Model(
    name          = 'gpt-4',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([Chatgpt4Online, Ai4Chat, NexraBing, NexraChatGPT, Airforce, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
)

# o1
o1 = Model(
    name          = 'o1',
    base_provider = 'OpenAI',
    best_provider = AmigoChat
)

o1_mini = Model(
    name          = 'o1-mini',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([AmigoChat, GizAI])
)


### GigaChat ###
gigachat = Model(
    name          = 'GigaChat:latest',
    base_provider = 'gigachat',
    best_provider = GigaChat
)


### Meta ###
meta = Model(
    name          = "meta-ai",
    base_provider = "Meta",
    best_provider = MetaAI
)

# llama 2
llama_2_7b = Model(
    name          = "llama-2-7b",
    base_provider = "Meta Llama",
    best_provider = Cloudflare
)

llama_2_13b = Model(
    name          = "llama-2-13b",
    base_provider = "Meta Llama",
    best_provider = Airforce
)

# llama 3
llama_3_8b = Model(
    name          = "llama-3-8b",
    base_provider = "Meta Llama",
    best_provider = IterListProvider([Cloudflare, Airforce, DeepInfra, Replicate])
)

llama_3_70b = Model(
    name          = "llama-3-70b",
    base_provider = "Meta Llama",
    best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate])
)

# llama 3.1
llama_3_1_8b = Model(
    name          = "llama-3.1-8b",
    base_provider = "Meta Llama",
    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, GizAI, PerplexityLabs])
)

llama_3_1_70b = Model(
    name          = "llama-3.1-70b",
    base_provider = "Meta Llama",
    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, AiMathGPT, RubiksAI, 



我只要Liaobots供应商。你看怎么改
User: (venv) root@PHK110:~/path/to/venv/lib/python3.12/site-packages/g4f# cat models.py
from __future__  import annotations

from dataclasses import dataclass

from .Provider import IterListProvider, ProviderType
from .Provider import (
    Ai4Chat,
    AIChatFree,
    AiMathGPT,
    Airforce,
    Allyfy,
    AmigoChat,
    Bing,
    Blackbox,
    ChatGpt,
    Chatgpt4Online,
    ChatGptEs,
    ChatgptFree,
    ChatHub,
    ChatifyAI,
    Cloudflare,
    DarkAI,
    DDG,
    DeepInfra,
    DeepInfraChat,
    Editee,
    Free2GPT,
    FreeChatgpt,
    FreeGpt,
    FreeNetfly,
    Gemini,
    GeminiPro,
    GizAI,
    GigaChat,
    GPROChat,
    HuggingChat,
    HuggingFace,
    Koala,
    Liaobots,
    MagickPen,
    MetaAI,
    NexraBing,
    NexraBlackbox,
    NexraChatGPT,
    NexraDallE,
    NexraDallE2,
    NexraEmi,
    NexraFluxPro,
    NexraGeminiPro,
    NexraMidjourney,
    NexraQwen,
    NexraSD15,
    NexraSDLora,
    NexraSDTurbo,
    OpenaiChat,
    PerplexityLabs,
    Pi,
    Pizzagpt,
    Reka,
    Replicate,
    ReplicateHome,
    RubiksAI,
    TeachAnything,
    Upstage,
)


@dataclass(unsafe_hash=True)
class Model:
    """
    Represents a machine learning model configuration.

    Attributes:
        name (str): Name of the model.
        base_provider (str): Default provider for the model.
        best_provider (ProviderType): The preferred provider for the model, typically with retry logic.
    """
    name: str
    base_provider: str
    best_provider: ProviderType = None

    @staticmethod
    def __all__() -> list[str]:
        """Returns a list of all model names."""
        return _all_models


### Default ###
default = Model(
    name          = "",
    base_provider = "",
    best_provider = IterListProvider([
        DDG,
        FreeChatgpt,
        HuggingChat,
        Pizzagpt,
        ReplicateHome,
        Upstage,
        Blackbox,
        Free2GPT,
        MagickPen,
        DeepInfraChat,
        Airforce,
        ChatHub,
        ChatGptEs,
        ChatHub,
        AmigoChat,
        ChatifyAI,
        Cloudflare,
        Editee,
        AiMathGPT,
    ])
)



############
### Text ###
############

### OpenAI ###
# gpt-3
gpt_3 = Model(
    name          = 'gpt-3',
    base_provider = 'OpenAI',
    best_provider = NexraChatGPT
)

# gpt-3.5
gpt_35_turbo = Model(
    name          = 'gpt-3.5-turbo',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([Allyfy, NexraChatGPT, Airforce, DarkAI, Liaobots])
)

# gpt-4
gpt_4o = Model(
    name          = 'gpt-4o',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([NexraChatGPT, Blackbox, ChatGptEs, AmigoChat, DarkAI, Editee, GizAI, Airforce, Liaobots, OpenaiChat])
)

gpt_4o_mini = Model(
    name          = 'gpt-4o-mini',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, AmigoChat, RubiksAI, Liaobots, Airforce, GizAI, ChatgptFree, Koala, OpenaiChat, ChatGpt])
)

gpt_4_turbo = Model(
    name          = 'gpt-4-turbo',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([Liaobots, Airforce, Bing])
)

gpt_4 = Model(
    name          = 'gpt-4',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([Chatgpt4Online, Ai4Chat, NexraBing, NexraChatGPT, Airforce, Bing, OpenaiChat, gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider])
)

# o1
o1 = Model(
    name          = 'o1',
    base_provider = 'OpenAI',
    best_provider = AmigoChat
)

o1_mini = Model(
    name          = 'o1-mini',
    base_provider = 'OpenAI',
    best_provider = IterListProvider([AmigoChat, GizAI])
)


### GigaChat ###
gigachat = Model(
    name          = 'GigaChat:latest',
    base_provider = 'gigachat',
    best_provider = GigaChat
)


### Meta ###
meta = Model(
    name          = "meta-ai",
    base_provider = "Meta",
    best_provider = MetaAI
)

# llama 2
llama_2_7b = Model(
    name          = "llama-2-7b",
    base_provider = "Meta Llama",
    best_provider = Cloudflare
)

llama_2_13b = Model(
    name          = "llama-2-13b",
    base_provider = "Meta Llama",
    best_provider = Airforce
)

# llama 3
llama_3_8b = Model(
    name          = "llama-3-8b",
    base_provider = "Meta Llama",
    best_provider = IterListProvider([Cloudflare, Airforce, DeepInfra, Replicate])
)

llama_3_70b = Model(
    name          = "llama-3-70b",
    base_provider = "Meta Llama",
    best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate])
)

# llama 3.1
llama_3_1_8b = Model(
    name          = "llama-3.1-8b",
    base_provider = "Meta Llama",
    best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, GizAI, PerplexityLabs])
)

llama_3_1_70b = Model(
    name          = "llama-3.1-70b",
    base_provider = "Meta Llama",
    best_provider = IterListProvider([DDG, HuggingChat, Blackbox, FreeGpt, TeachAnything, Free2GPT, DeepInfraChat, DarkAI, Airforce, AiMathGPT, RubiksAI, GizAI, HuggingFace, PerplexityLabs])
)

llama_3_1_405b = Model(
    name          = "llama-3.1-405b",
    base_provider = "Meta Llama",
    best_provider = IterListProvider([DeepInfraChat, Blackbox, AmigoChat, DarkAI, Airforce])
)

# llama 3.2
llama_3_2_1b = Model(
    name          = "llama-3.2-1b",
    base_provider = "Meta Llama",
    best_provider = Cloudflare
)

llama_3_2_3b = Model(
    name          = "llama-3.2-3b",
    base_provider = "Meta Llama",
    best_provider = Cloudflare
)

llama_3_2_11b = Model(
    name          = "llama-3.2-11b",
    base_provider = "Meta Llama",
    best_provider = IterListProvider([Cloudflare, HuggingChat, HuggingFace])
)

llama_3_2_90b = Model(
    name          = "llama-3.2-90b",
    base_provider = "Meta Llama",
    best_provider = IterListProvider([AmigoChat, Airforce])
)


# llamaguard
llamaguard_7b = Model(
    name          = "llamaguard-7b",
    base_provider = "Meta Llama",
    best_provider = Airforce
)

llamaguard_2_8b = Model(
    name          = "llamaguard-2-8b",
    base_provider = "Meta Llama",
    best_provider = Airforce
)


### Mistral ###
mistral_7b = Model(
    name          = "mistral-7b",
    base_provider = "Mistral",
    best_provider = IterListProvider([DeepInfraChat, Cloudflare, Airforce, DeepInfra])
)

mixtral_8x7b = Model(
    name          = "mixtral-8x7b",
    base_provider = "Mistral",
    best_provider = IterListProvider([DDG, ReplicateHome, DeepInfraChat, ChatHub, Airforce, DeepInfra])
)

mixtral_8x22b = Model(
    name          = "mixtral-8x22b",
    base_provider = "Mistral",
    best_provider = IterListProvider([DeepInfraChat, Airforce])
)

mistral_nemo = Model(
    name          = "mistral-nemo",
    base_provider = "Mistral",
    best_provider = IterListProvider([HuggingChat, HuggingFace])
)

mistral_large = Model(
    name          = "mistral-large",
    base_provider = "Mistral",
    best_provider = IterListProvider([Editee, GizAI])
)


### NousResearch ###
mixtral_8x7b_dpo = Model(
    name          = "mixtral-8x7b-dpo",
    base_provider = "NousResearch",
    best_provider = Airforce
)

yi_34b = Model(
    name          = "yi-34b",
    base_provider = "NousResearch",
    best_provider = Airforce
)

hermes_3 = Model(
    name          = "hermes-3",
    base_provider = "NousResearch",
    best_provider = IterListProvider([HuggingChat, HuggingFace])
)


### Microsoft ###
phi_2 = Model(
    name          = "phi-2",
    base_provider = "Microsoft",
    best_provider = Cloudflare
)

phi_3_medium_4k = Model(
    name          = "phi-3-medium-4k",
    base_provider = "Microsoft",
    best_provider = DeepInfraChat
)

phi_3_5_mini = Model(
    name          = "phi-3.5-mini",
    base_provider = "Microsoft",
    best_provider = IterListProvider([HuggingChat, HuggingFace])
)

### Google DeepMind ###
# gemini
gemini_pro = Model(
    name          = 'gemini-pro',
    base_provider = 'Google DeepMind',
    best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, AmigoChat, Editee, GizAI, Airforce, Liaobots])
)

gemini_flash = Model(
    name          = 'gemini-flash',
    base_provider = 'Google DeepMind',
    best_provider = IterListProvider([Blackbox, GizAI, Airforce, Liaobots])
)

gemini = Model(
    name          = 'gemini',
    base_provider = 'Google DeepMind',
    best_provider = Gemini
)

# gemma
gemma_2b_9b = Model(
    name          = 'gemma-2b-9b',
    base_provider = 'Google',
    best_provider = Airforce
)

gemma_2b_27b = Model(
    name          = 'gemma-2b-27b',
    base_provider = 'Google',
    best_provider = IterListProvider([DeepInfraChat, Airforce])
)

gemma_2b = Model(
    name          = 'gemma-2b',
    base_provider = 'Google',
    best_provider = IterListProvider([ReplicateHome, Airforce])
)

gemma_7b = Model(
    name          = 'gemma-7b',
    base_provider = 'Google',
    best_provider = Cloudflare
)

# gemma 2
gemma_2_27b = Model(
    name          = 'gemma-2-27b',
    base_provider = 'Google',
    best_provider = Airforce
)

gemma_2 = Model(
    name          = 'gemma-2',
    base_provider = 'Google',
    best_provider = ChatHub
)


### Anthropic ###
claude_2_1 = Model(
    name          = 'claude-2.1',
    base_provider = 'Anthropic',
    best_provider = Liaobots
)


我只要Liaobos供应商，你看怎么改
Assistant: