multiple: langchain 0.2 in master

libs/community/langchain_community/agent_toolkits/sql/base.py

@@ -193,7 +193,7 @@ def create_sql_agent(
             ]
             prompt = ChatPromptTemplate.from_messages(messages)
         agent = RunnableAgent(
-            runnable=create_openai_functions_agent(llm, tools, prompt),
+            runnable=create_openai_functions_agent(llm, tools, prompt),  # type: ignore
             input_keys_arg=["input"],
             return_keys_arg=["output"],
             **kwargs,
@@ -208,10 +208,10 @@ def create_sql_agent(
             ]
             prompt = ChatPromptTemplate.from_messages(messages)
         if agent_type == "openai-tools":
-            runnable = create_openai_tools_agent(llm, tools, prompt)
+            runnable = create_openai_tools_agent(llm, tools, prompt)  # type: ignore
         else:
-            runnable = create_tool_calling_agent(llm, tools, prompt)
-        agent = RunnableMultiActionAgent(
+            runnable = create_tool_calling_agent(llm, tools, prompt)  # type: ignore
+        agent = RunnableMultiActionAgent(  # type: ignore[assignment]
             runnable=runnable,
             input_keys_arg=["input"],
             return_keys_arg=["output"],

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

@@ -0,0 +1,17 @@
+from langchain.chains.ernie_functions.base import (
+    convert_to_ernie_function,
+    create_ernie_fn_chain,
+    create_ernie_fn_runnable,
+    create_structured_output_chain,
+    create_structured_output_runnable,
+    get_ernie_output_parser,
+)
+
+__all__ = [
+    "convert_to_ernie_function",
+    "create_structured_output_chain",
+    "create_ernie_fn_chain",
+    "create_structured_output_runnable",
+    "create_ernie_fn_runnable",
+    "get_ernie_output_parser",
+]