community[minor]: rename ChatGPTRouter to GPTRouter (#14913)

**Description:**: Rename integration to GPTRouter 
**Tag maintainer:** @Gupta-Anubhav12 @samanyougarg @sirjan-ws-ext  
**Twitter handle:** [@SamanyouGarg](https://twitter.com/SamanyouGarg)

docs/docs/integrations/chat/gpt_router.ipynb

@@ -16,7 +16,7 @@
    "id": "bf733a38-db84-4363-89e2-de6735c37230",
    "metadata": {},
    "source": [
-    "# ChatGPTRouter\n",
+    "# GPTRouter\n",
     "\n",
     "[GPTRouter](https://github.com/Writesonic/GPTRouter) is an open source LLM API Gateway that offers a universal API for 30+ LLMs, vision, and image models, with smart fallbacks based on uptime and latency, automatic retries, and streaming.\n",
     "\n",
@@ -71,7 +71,7 @@
    "outputs": [],
    "source": [
     "from langchain.schema import HumanMessage\n",
-    "from langchain_community.chat_models import ChatGPTRouter\n",
+    "from langchain_community.chat_models import GPTRouter\n",
     "from langchain_community.chat_models.gpt_router import GPTRouterModel"
    ]
   },
@@ -94,7 +94,7 @@
    },
    "outputs": [],
    "source": [
-    "chat = ChatGPTRouter(models_priority_list=[anthropic_claude])"
+    "chat = GPTRouter(models_priority_list=[anthropic_claude])"
    ]
   },
   {
@@ -131,7 +131,7 @@
    "id": "c361ab1e-8c0c-4206-9e3c-9d1424a12b9c",
    "metadata": {},
    "source": [
-    "## `ChatGPTRouter` also supports async and streaming functionality:"
+    "## `GPTRouter` also supports async and streaming functionality:"
    ]
   },
   {
@@ -197,7 +197,7 @@
     }
    ],
    "source": [
-    "chat = ChatGPTRouter(\n",
+    "chat = GPTRouter(\n",
     "    models_priority_list=[anthropic_claude],\n",
     "    streaming=True,\n",
     "    verbose=True,\n",

libs/community/langchain_community/chat_models/__init__.py

@@ -31,7 +31,7 @@ from langchain_community.chat_models.fake import FakeListChatModel
 from langchain_community.chat_models.fireworks import ChatFireworks
 from langchain_community.chat_models.gigachat import GigaChat
 from langchain_community.chat_models.google_palm import ChatGooglePalm
-from langchain_community.chat_models.gpt_router import ChatGPTRouter
+from langchain_community.chat_models.gpt_router import GPTRouter
 from langchain_community.chat_models.human import HumanInputChatModel
 from langchain_community.chat_models.hunyuan import ChatHunyuan
 from langchain_community.chat_models.javelin_ai_gateway import ChatJavelinAIGateway
@@ -80,5 +80,5 @@ __all__ = [
     "ChatHunyuan",
     "GigaChat",
     "VolcEngineMaasChat",
-    "ChatGPTRouter",
+    "GPTRouter",
 ]

libs/community/langchain_community/chat_models/gpt_router.py

@@ -77,7 +77,7 @@ def get_ordered_generation_requests(
 
 
 def _create_retry_decorator(
-    llm: ChatGPTRouter,
+    llm: GPTRouter,
     run_manager: Optional[
         Union[AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun]
     ] = None,
@@ -96,7 +96,7 @@ def _create_retry_decorator(
 
 
 def completion_with_retry(
-    llm: ChatGPTRouter,
+    llm: GPTRouter,
     models_priority_list: List[GPTRouterModel],
     run_manager: Optional[CallbackManagerForLLMRun] = None,
     **kwargs: Any,
@@ -118,7 +118,7 @@ def completion_with_retry(
 
 
 async def acompletion_with_retry(
-    llm: ChatGPTRouter,
+    llm: GPTRouter,
     models_priority_list: List[GPTRouterModel],
     run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
     **kwargs: Any,
@@ -140,7 +140,7 @@ async def acompletion_with_retry(
     return await _completion_with_retry(**kwargs)
 
 
-class ChatGPTRouter(BaseChatModel):
+class GPTRouter(BaseChatModel):
     """GPTRouter by Writesonic Inc.
 
     For more information, see https://gpt-router.writesonic.com/docs

libs/community/tests/integration_tests/chat_models/test_gpt_router.py

@@ -8,7 +8,7 @@ from langchain_core.callbacks import (
 from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
 from langchain_core.outputs import ChatGeneration, LLMResult
 
-from langchain_community.chat_models.gpt_router import ChatGPTRouter, GPTRouterModel
+from langchain_community.chat_models.gpt_router import GPTRouter, GPTRouterModel
 from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 
 
@@ -17,7 +17,7 @@ def test_gpt_router_call() -> None:
     anthropic_claude = GPTRouterModel(
         name="claude-instant-1.2", provider_name="anthropic"
     )
-    chat = ChatGPTRouter(models_priority_list=[anthropic_claude])
+    chat = GPTRouter(models_priority_list=[anthropic_claude])
     message = HumanMessage(content="Hello World")
     response = chat([message])
     assert isinstance(response, AIMessage)
@@ -29,7 +29,7 @@ def test_gpt_router_call_incorrect_model() -> None:
     anthropic_claude = GPTRouterModel(
         name="model_does_not_exist", provider_name="anthropic"
     )
-    chat = ChatGPTRouter(models_priority_list=[anthropic_claude])
+    chat = GPTRouter(models_priority_list=[anthropic_claude])
     message = HumanMessage(content="Hello World")
     with pytest.raises(Exception):
         chat([message])
@@ -40,7 +40,7 @@ def test_gpt_router_generate() -> None:
     anthropic_claude = GPTRouterModel(
         name="claude-instant-1.2", provider_name="anthropic"
     )
-    chat = ChatGPTRouter(models_priority_list=[anthropic_claude])
+    chat = GPTRouter(models_priority_list=[anthropic_claude])
     chat_messages: List[List[BaseMessage]] = [
         [HumanMessage(content="If (5 + x = 18), what is x?")]
     ]
@@ -59,7 +59,7 @@ def test_gpt_router_streaming() -> None:
     anthropic_claude = GPTRouterModel(
         name="claude-instant-1.2", provider_name="anthropic"
     )
-    chat = ChatGPTRouter(models_priority_list=[anthropic_claude], streaming=True)
+    chat = GPTRouter(models_priority_list=[anthropic_claude], streaming=True)
     message = HumanMessage(content="Hello")
     response = chat([message])
     assert isinstance(response, AIMessage)
@@ -73,7 +73,7 @@ def test_gpt_router_streaming_callback() -> None:
     anthropic_claude = GPTRouterModel(
         name="claude-instant-1.2", provider_name="anthropic"
     )
-    chat = ChatGPTRouter(
+    chat = GPTRouter(
         models_priority_list=[anthropic_claude],
         streaming=True,
         callback_manager=callback_manager,

libs/community/tests/unit_tests/chat_models/test_imports.py

@@ -31,7 +31,7 @@ EXPECTED_ALL = [
     "ChatHunyuan",
     "GigaChat",
     "VolcEngineMaasChat",
-    "ChatGPTRouter",
+    "GPTRouter",
 ]