fix(precommit):

examples/ex5.py

@@ -11,7 +11,7 @@
 prompt = ChatPromptTemplate.from_messages(
     [
         SystemMessagePromptTemplate.from_template(
-            "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know."
+            "The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know."  # noqa
         ),
         MessagesPlaceholder(variable_name="history"),
         HumanMessagePromptTemplate.from_template("{input}"),

examples/ex7_agent.py

@@ -1,13 +1,12 @@
+from langchain import LLMMathChain
+from langchain.agents.tools import Tool
 from langchain.chat_models import ChatOpenAI
 from langchain.experimental.plan_and_execute import (
     PlanAndExecute,
     load_agent_executor,
     load_chat_planner,
 )
 from langchain.llms import OpenAI
-from langchain.agents.tools import Tool
-from langchain import LLMMathChain
-
 
 llm = OpenAI(temperature=0)
 llm_math_chain = LLMMathChain.from_llm(llm=llm, verbose=True)

langcorn/__main__.py

@@ -3,6 +3,7 @@
 
 import fire
 import uvicorn
+
 from langcorn.server import api
 
 

langcorn/server/api.py

@@ -139,7 +139,7 @@ def create_service(*lc_apps, auth_token: str = "", app: FastAPI = None):
         inn, out = derive_fields(chain)
         logger.debug(f"inputs:{inn=}")
         logger.info(f"{lang_app=}:{chain.__class__.__name__}({inn})")
-        endpoint_prefix = lang_app.replace(":", '.')
+        endpoint_prefix = lang_app.replace(":", ".")
         cls_name = "".join([c.capitalize() for c in endpoint_prefix.split(".")])
         request_cls = derive_class(cls_name, inn, add_memory=chain.memory)
         logger.debug(f"{request_cls=}")

langcorn/server/test_api.py

@@ -1,10 +1,11 @@
-from unittest.mock import MagicMock, patch
+from unittest.mock import patch
 
 import pytest
-from examples import app
 from fastapi.testclient import TestClient
 from langchain.llms.fake import FakeListLLM
 
+from examples import app
+
 from .api import create_service
 
 client = TestClient(create_service("examples.ex1:chain"))