""" return next(tool for tool in tools if tool.name == "sql_db_schema").invoke(tables) from langchain_core.prompts.chat import BaseMessage, HumanMessage, AIMessage, ChatPromptValue local llm with tool access llm_with_tools = llm.bind_tools( tools = [get_schema_tool_use], tool_choice...
change if "tools" in kwargs to if kwargs.get("tools"), which is Falsey for empty list; or There's a method _should_stream which is called on both .stream and .astream that controls whether we delegate to .invoke. Could potentially override this on ChatOllama. See example here: lan...
可能相关的：ollama/ollama#5321
可能相关的：ollama/ollama#5321