carry over 30816 (#7)

Author: ccurme

libs/community/langchain_community/adapters/openai.py

@@ -104,7 +104,7 @@ def convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
             additional_kwargs["name"] = _dict["name"]
         return ToolMessage(
             content=_dict.get("content", ""),
-            tool_call_id=_dict.get("tool_call_id"),  # type: ignore[arg-type]
+            tool_call_id=_dict.get("tool_call_id"),
             additional_kwargs=additional_kwargs,
         )
     else:

libs/community/langchain_community/agent_toolkits/azure_ai_services.py

@@ -22,7 +22,7 @@ def get_tools(self) -> List[BaseTool]:
 
         tools: List[BaseTool] = [
             AzureAiServicesDocumentIntelligenceTool(),  # type: ignore[call-arg]
-            AzureAiServicesImageAnalysisTool(),  # type: ignore[call-arg]
+            AzureAiServicesImageAnalysisTool(),
             AzureAiServicesSpeechToTextTool(),  # type: ignore[call-arg]
             AzureAiServicesTextToSpeechTool(),  # type: ignore[call-arg]
             AzureAiServicesTextAnalyticsForHealthTool(),  # type: ignore[call-arg]

libs/community/langchain_community/agent_toolkits/file_management/toolkit.py

@@ -81,7 +81,7 @@ def get_tools(self) -> List[BaseTool]:
         tools: List[BaseTool] = []
         for tool in allowed_tools:
             tool_cls = _FILE_TOOLS_MAP[tool]
-            tools.append(tool_cls(root_dir=self.root_dir))  # type: ignore[call-arg]
+            tools.append(tool_cls(root_dir=self.root_dir))
         return tools
 
 

libs/community/langchain_community/agent_toolkits/nla/tool.py

@@ -13,7 +13,7 @@
 from langchain_community.utilities.requests import Requests
 
 
-class NLATool(Tool):  # type: ignore[override]
+class NLATool(Tool):
     """Natural Language API Tool."""
 
     @classmethod

libs/community/langchain_community/agent_toolkits/openapi/planner.py

@@ -64,7 +64,7 @@ def _get_default_llm_chain_factory(
     return partial(_get_default_llm_chain, prompt)
 
 
-class RequestsGetToolWithParsing(BaseRequestsTool, BaseTool):  # type: ignore[override]
+class RequestsGetToolWithParsing(BaseRequestsTool, BaseTool):
     """Requests GET tool with LLM-instructed extraction of truncated responses."""
 
     name: str = "requests_get"
@@ -98,7 +98,7 @@ async def _arun(self, text: str) -> str:
         raise NotImplementedError()
 
 
-class RequestsPostToolWithParsing(BaseRequestsTool, BaseTool):  # type: ignore[override]
+class RequestsPostToolWithParsing(BaseRequestsTool, BaseTool):
     """Requests POST tool with LLM-instructed extraction of truncated responses."""
 
     name: str = "requests_post"
@@ -129,7 +129,7 @@ async def _arun(self, text: str) -> str:
         raise NotImplementedError()
 
 
-class RequestsPatchToolWithParsing(BaseRequestsTool, BaseTool):  # type: ignore[override]
+class RequestsPatchToolWithParsing(BaseRequestsTool, BaseTool):
     """Requests PATCH tool with LLM-instructed extraction of truncated responses."""
 
     name: str = "requests_patch"
@@ -162,7 +162,7 @@ async def _arun(self, text: str) -> str:
         raise NotImplementedError()
 
 
-class RequestsPutToolWithParsing(BaseRequestsTool, BaseTool):  # type: ignore[override]
+class RequestsPutToolWithParsing(BaseRequestsTool, BaseTool):
     """Requests PUT tool with LLM-instructed extraction of truncated responses."""
 
     name: str = "requests_put"
@@ -193,7 +193,7 @@ async def _arun(self, text: str) -> str:
         raise NotImplementedError()
 
 
-class RequestsDeleteToolWithParsing(BaseRequestsTool, BaseTool):  # type: ignore[override]
+class RequestsDeleteToolWithParsing(BaseRequestsTool, BaseTool):
     """Tool that sends a DELETE request and parses the response."""
 
     name: str = "requests_delete"
@@ -266,7 +266,7 @@ def _create_api_controller_agent(
     if "GET" in allowed_operations:
         get_llm_chain = LLMChain(llm=llm, prompt=PARSING_GET_PROMPT)
         tools.append(
-            RequestsGetToolWithParsing(  # type: ignore[call-arg]
+            RequestsGetToolWithParsing(
                 requests_wrapper=requests_wrapper,
                 llm_chain=get_llm_chain,
                 allow_dangerous_requests=allow_dangerous_requests,
@@ -275,7 +275,7 @@ def _create_api_controller_agent(
     if "POST" in allowed_operations:
         post_llm_chain = LLMChain(llm=llm, prompt=PARSING_POST_PROMPT)
         tools.append(
-            RequestsPostToolWithParsing(  # type: ignore[call-arg]
+            RequestsPostToolWithParsing(
                 requests_wrapper=requests_wrapper,
                 llm_chain=post_llm_chain,
                 allow_dangerous_requests=allow_dangerous_requests,
@@ -284,7 +284,7 @@ def _create_api_controller_agent(
     if "PUT" in allowed_operations:
         put_llm_chain = LLMChain(llm=llm, prompt=PARSING_PUT_PROMPT)
         tools.append(
-            RequestsPutToolWithParsing(  # type: ignore[call-arg]
+            RequestsPutToolWithParsing(
                 requests_wrapper=requests_wrapper,
                 llm_chain=put_llm_chain,
                 allow_dangerous_requests=allow_dangerous_requests,
@@ -293,7 +293,7 @@ def _create_api_controller_agent(
     if "DELETE" in allowed_operations:
         delete_llm_chain = LLMChain(llm=llm, prompt=PARSING_DELETE_PROMPT)
         tools.append(
-            RequestsDeleteToolWithParsing(  # type: ignore[call-arg]
+            RequestsDeleteToolWithParsing(
                 requests_wrapper=requests_wrapper,
                 llm_chain=delete_llm_chain,
                 allow_dangerous_requests=allow_dangerous_requests,
@@ -302,7 +302,7 @@ def _create_api_controller_agent(
     if "PATCH" in allowed_operations:
         patch_llm_chain = LLMChain(llm=llm, prompt=PARSING_PATCH_PROMPT)
         tools.append(
-            RequestsPatchToolWithParsing(  # type: ignore[call-arg]
+            RequestsPatchToolWithParsing(
                 requests_wrapper=requests_wrapper,
                 llm_chain=patch_llm_chain,
                 allow_dangerous_requests=allow_dangerous_requests,

libs/community/langchain_community/agent_toolkits/powerbi/toolkit.py

@@ -75,7 +75,7 @@ def get_tools(self) -> List[BaseTool]:
                 powerbi=self.powerbi,
                 examples=self.examples,
                 max_iterations=self.max_iterations,
-                output_token_limit=self.output_token_limit,  # type: ignore[arg-type]
+                output_token_limit=self.output_token_limit,
                 tiktoken_model_name=self.tiktoken_model_name,
             ),
             InfoPowerBITool(powerbi=self.powerbi),

libs/community/langchain_community/agents/openai_assistant/base.py

@@ -289,7 +289,7 @@ def create_assistant(
             name=name,
             instructions=instructions,
             tools=[_get_assistants_tool(tool) for tool in tools],
-            tool_resources=tool_resources,  # type: ignore[arg-type]
+            tool_resources=tool_resources,
             model=model,
             extra_body=extra_body,
             **model_kwargs,
@@ -431,7 +431,7 @@ async def acreate_assistant(
             name=name,
             instructions=instructions,
             tools=openai_tools,
-            tool_resources=tool_resources,  # type: ignore[arg-type]
+            tool_resources=tool_resources,
             model=model,
         )
         return cls(assistant_id=assistant.id, async_client=async_client, **kwargs)

libs/community/langchain_community/cache.py

@@ -579,7 +579,7 @@ async def aupdate(
         try:
             async with self.redis.pipeline() as pipe:
                 self._configure_pipeline_for_update(key, pipe, return_val, self.ttl)
-                await pipe.execute()  # type: ignore[attr-defined]
+                await pipe.execute()
         except Exception as e:
             logger.error(f"Redis async update failed: {e}")
 

libs/community/langchain_community/chains/ernie_functions/base.py

@@ -378,7 +378,7 @@ def create_ernie_fn_chain(
     output_key: str = "function",
     output_parser: Optional[BaseLLMOutputParser] = None,
     **kwargs: Any,
-) -> LLMChain:  # type: ignore[valid-type]
+) -> LLMChain:
     """[Legacy] Create an LLM chain that uses Ernie functions.
 
     Args:
@@ -455,7 +455,7 @@ class RecordDog(BaseModel):
     }
     if len(ernie_functions) == 1:
         llm_kwargs["function_call"] = {"name": ernie_functions[0]["name"]}
-    llm_chain = LLMChain(  # type: ignore[misc]
+    llm_chain = LLMChain(
         llm=llm,
         prompt=prompt,
         output_parser=output_parser,
@@ -474,7 +474,7 @@ def create_structured_output_chain(
     output_key: str = "function",
     output_parser: Optional[BaseLLMOutputParser] = None,
     **kwargs: Any,
-) -> LLMChain:  # type: ignore[valid-type]
+) -> LLMChain:
     """[Legacy] Create an LLMChain that uses an Ernie function to get a structured output.
 
     Args:

libs/community/langchain_community/chains/graph_qa/cypher.py

@@ -324,7 +324,7 @@ def from_llm(
 
         cypher_generation_chain = LLMChain(
             llm=cypher_llm or llm,  # type: ignore[arg-type]
-            **use_cypher_llm_kwargs,  # type: ignore[arg-type]
+            **use_cypher_llm_kwargs,
         )
 
         if exclude_types and include_types: