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Add gpt-4.5 model

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This commit is contained in:
hlohaus 2025-02-28 09:36:15 +01:00
parent 510d9d9bcd
commit 963e0104ad
3 changed files with 2 additions and 43 deletions
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2
g4f/Provider/openai/models.py
View file

@ -1,6 +1,6 @@
default_model = "auto"
default_image_model = "dall-e-3"
image_models = [default_image_model]
text_models = [default_model, "gpt-4", "gpt-4o", "gpt-4o-mini", "o1", "o1-preview", "o1-mini", "o3-mini", "o3-mini-high"]
text_models = [default_model, "gpt-4", "gpt-4.5", "gpt-4o", "gpt-4o-mini", "o1", "o1-preview", "o1-mini", "o3-mini", "o3-mini-high"]
vision_models = text_models
models = text_models + image_models

2
g4f/providers/base_provider.py
View file

@ -377,7 +377,7 @@ class RaiseErrorMixin():
raise ResponseError(data["error"])
elif "code" in data["error"]:
raise ResponseError("\n".join(
[e for e in [f'Error {data["error"]["code"]}:{data["error"]["message"]}', data["error"].get("failed_generation")] if e is not None]
[e for e in [f'Error {data["error"]["code"]}: {data["error"]["message"]}', data["error"].get("failed_generation")] if e is not None]
))
elif "message" in data["error"]:
raise ResponseError(data["error"]["message"])

41
g4f/tools/langchain.py
View file

@ -1,41 +0,0 @@
from __future__ import annotations
from typing import Any, Dict
from langchain_community.chat_models import openai
from langchain_community.chat_models.openai import ChatOpenAI, BaseMessage, convert_message_to_dict
from pydantic import Field
from g4f.client import AsyncClient, Client
from g4f.client.stubs import ChatCompletionMessage
def new_convert_message_to_dict(message: BaseMessage) -> dict:
message_dict: Dict[str, Any]
if isinstance(message, ChatCompletionMessage):
message_dict = {"role": message.role, "content": message.content}
if message.tool_calls is not None:
message_dict["tool_calls"] = [{
"id": tool_call.id,
"type": tool_call.type,
"function": tool_call.function
} for tool_call in message.tool_calls]
if message_dict["content"] == "":
message_dict["content"] = None
else:
message_dict = convert_message_to_dict(message)
return message_dict
openai.convert_message_to_dict = new_convert_message_to_dict
class ChatAI(ChatOpenAI):
model_name: str = Field(default="gpt-4o", alias="model")
@classmethod
def validate_environment(cls, values: dict) -> dict:
client_params = {
"api_key": values["g4f_api_key"] if "g4f_api_key" in values else None,
"provider": values["g4f_provider"] if "g4f_provider" in values else None,
}
values["client"] = Client(**client_params).chat.completions
values["async_client"] = AsyncClient(
**client_params
).chat.completions
return values