in RunnableLambda._invoke(self, input, run_manager, config, **kwargs) 4241 output = chunk 4242 else: -> 4243 output = call_func_with_variable_args( 4244 self.func, input, config, run_manager, **kwargs 4245 ) 4246 # If the output is a Runnable, invoke it 4247 if isinstance(output...
16 memory = SqliteSaver.from_conn_string(":memory:") ---> 18 agent_executor = create_react_agent(model, tools, checkpointer=memory) File ~/Development/.venv/lib/python3.12/site-packages/langgraph/_api/deprecation.py:80, in deprecated_parameter..decorator..wrapper(*args, **kwargs) 72if ...
this.agentExecutor=createReactAgent({llm:this.chatModel,tools,messageModifier:prompt,});this.agentExecutor.streamEvents({messages},{version:'v2',},); So, is there anyway to achieve Streaming LLM Tokens? I have been struggling with this issue for many days. ReactAgent without streaming is reall...
invoke({ "messages": [("human", "what's the weather in sf? make sure to mention today's date")], "today": "July 12, 2004" }) vbarda added 2 commits July 15, 2024 11:13 [RFC] langgraph: allow passing custom state & let message modifiers a… … 725ef23 update c62815c ...
... return prompt.invoke({"messages": messages}) ... return prompt.invoke({"messages": state["messages"]}) >>> >>> graph = create_react_agent(model, tools, messages_modifier=modify_messages) >>> graph = create_react_agent(model, tools, state_modifier=modify_state_messages) >>> inpu...