AttributeError: 'str' object has no attribute 'tool'

[jason571]

Checked other resources

• I added a very descriptive title to this issue.
• I searched the LangChain documentation with the integrated search.
• I used the GitHub search to find a similar question and didn't find it.
• I am sure that this is a bug in LangChain rather than my code.
• The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

Example Code

    self.prompt = config.get_prompt("system_monitor_template_test3")
    self.system = self.prompt
    graph = StateGraph(AgentState)
    graph.add_node("llm", self.call_agents)
    graph.add_node("action", self.take_action)
    graph.add_conditional_edges(
        "llm",
        self.exists_action,
        {True: "action", False: END}
    )
    self.llm = self.interface.get_current_model(0.2,0.2,10)
    self.create_tools()
    graph.add_edge("action", "llm")
    graph.set_entry_point("llm")
    self.memory = MemorySaver()
    self.graph = graph.compile(checkpointer=self.memory)
def create_agent_node(self):
    prompt_template = PromptTemplate(template=self.system)
    system_message = prompt_template.format()
    if self.agent_node is None:
        self.agent_node = create_react_agent(
            self.llm,
            self.tools,
            state_modifier=system_message,
        )
        self.agent_executor = AgentExecutor(
            agent=self.agent_node,
            tools=self.tools,
            verbose=True
        )
        
  ..............
    async def print_response(self, initial_message: str):
    messages = [("user", initial_message)]
    thread = {"configurable": {"thread_id": self.user_id}}
    async for event in self.graph.astream_events({"messages": messages}, thread, version="v2"):
        kind = event["event"]
        if kind == "on_chat_model_stream":
            content = event["data"]["chunk"].content
            if content:
                print(content, end="", flush=True)

Example usage:

if name == "main":
agent = Agent("12345")

input = "check CPU "
asyncio.run(agent.print_response(input))

Error Message and Stack Trace (if applicable)

Entering new AgentExecutor chain...
[2024-12-27 15:24:47,480]-INFO-[functionCall.py:28]: executing shell command:
top -b -n 1 | grep "Cpu(s)"
result output:%Cpu(s): 0.0 us, 0.0 sy, 0.0 ni,100.0 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st

The current CPU usage is 0.0% for user, 0.0% for system, 0.0% for nice, 100.0% for idle, 0.0% for wait, 0.0% for hardware interrupt, 0.0% for software interrupt, and 0.0% for steal.[2024-12-27 15:24:48,379]-WARNING-[manager.py:287]: Error in StdOutCallbackHandler.on_agent_action callback: AttributeError("'str' object has no attribute 'log'")
Traceback (most recent call last):
File "/mnt/m/flyang/pr_train/LLMs/src/langgraphsearch/agentWorkflow.py", line 190, in
asyncio.run(agent.print_response(input))
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/asyncio/runners.py", line 194, in run
return runner.run(main)
^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/asyncio/runners.py", line 118, in run
return self._loop.run_until_complete(task)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/asyncio/base_events.py", line 687, in run_until_complete
return future.result()
^^^^^^^^^^^^^^^
File "/mnt/m/flyang/pr_train/LLMs/src/langgraphsearch/agentWorkflow.py", line 175, in print_response
async for event in self.graph.astream_events({"messages": messages}, thread, version="v2"):
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 1388, in astream_events
async for event in event_stream:
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/tracers/event_stream.py", line 1012, in _astream_events_implementation_v2
await task
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/tracers/event_stream.py", line 967, in consume_astream
async for _ in event_streamer.tap_output_aiter(run_id, stream):
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/tracers/event_stream.py", line 180, in tap_output_aiter
first = await py_anext(output, default=sentinel)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/utils/aiter.py", line 76, in anext_impl
return await anext(iterator)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langgraph/pregel/init.py", line 1822, in astream
async for _ in runner.atick(
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langgraph/pregel/runner.py", line 221, in atick
await arun_with_retry(
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langgraph/pregel/retry.py", line 115, in arun_with_retry
async for _ in task.proc.astream(task.input, config):
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langgraph/utils/runnable.py", line 576, in astream
async for chunk in aiterator:
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/tracers/event_stream.py", line 180, in tap_output_aiter
first = await py_anext(output, default=sentinel)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/utils/aiter.py", line 76, in anext_impl
return await anext(iterator)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 1455, in atransform
async for ichunk in input:
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 1455, in atransform
async for ichunk in input:
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 1455, in atransform
async for ichunk in input:
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/runnables/base.py", line 1018, in astream
yield await self.ainvoke(input, config, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langgraph/utils/runnable.py", line 236, in ainvoke
ret = await asyncio.create_task(coro, context=context)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/runnables/config.py", line 588, in run_in_executor
return await asyncio.get_running_loop().run_in_executor(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain_core/runnables/config.py", line 579, in wrapper
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/mnt/m/flyang/pr_train/LLMs/src/langgraphsearch/agentWorkflow.py", line 110, in call_agents
result = self.agent_executor.invoke({"messages": messages})
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain/chains/base.py", line 170, in invoke
raise e
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain/chains/base.py", line 160, in invoke
self._call(inputs, run_manager=run_manager)
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain/agents/agent.py", line 1624, in _call
next_step_output = self._take_next_step(
^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain/agents/agent.py", line 1332, in _take_next_step
for a in self._iter_next_step(
^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain/agents/agent.py", line 1415, in _iter_next_step
yield self._perform_agent_action(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/flyang/anaconda3/envs/LLMs/lib/python3.12/site-packages/langchain/agents/agent.py", line 1429, in _perform_agent_action
if agent_action.tool in name_to_tool_map:
^^^^^^^^^^^^^^^^^
AttributeError: 'str' object has no attribute 'tool'

Description

AgentExecutor
AttributeError: 'str' object has no attribute 'tool'

System Info

System Information

OS: Linux
OS Version: #1 SMP Tue Nov 5 00:21:55 UTC 2024
Python Version: 3.12.7 | packaged by Anaconda, Inc. | (main, Oct 4 2024, 13:27:36) [GCC 11.2.0]

Package Information

langchain_core: 0.3.28
langchain: 0.3.12
langchain_community: 0.3.9
langsmith: 0.1.143
langchain_anthropic: 0.3.0
langchain_ark: 0.1.4
langchain_cli: 0.0.35
langchain_experimental: 0.3.3
langchain_google_community: 2.0.2
langchain_google_genai: 2.0.7
langchain_groq: 0.2.1
langchain_huggingface: 0.1.2
langchain_milvus: 0.1.7
langchain_openai: 0.2.11
langchain_text_splitters: 0.3.3
langchain_together: 0.2.0
langchain_xai: 0.1.1
langgraph_sdk: 0.1.36
langserve: 0.3.0

Other Dependencies

aiohttp: 3.11.2
anthropic: 0.40.0
async-timeout: Installed. No version info available.
beautifulsoup4: 4.12.3
dataclasses-json: 0.6.7
db-dtypes: Installed. No version info available.
defusedxml: 0.7.1
fastapi: 0.115.5
filetype: 1.2.0
gapic-google-longrunning: Installed. No version info available.
gitpython: 3.1.43
google-api-core: 2.23.0
google-api-python-client: 2.153.0
google-auth-httplib2: 0.2.0
google-auth-oauthlib: Installed. No version info available.
google-cloud-aiplatform: Installed. No version info available.
google-cloud-bigquery: Installed. No version info available.
google-cloud-bigquery-storage: Installed. No version info available.
google-cloud-contentwarehouse: Installed. No version info available.
google-cloud-core: 2.4.1
google-cloud-discoveryengine: Installed. No version info available.
google-cloud-documentai: Installed. No version info available.
google-cloud-documentai-toolbox: Installed. No version info available.
google-cloud-speech: Installed. No version info available.
google-cloud-storage: Installed. No version info available.
google-cloud-texttospeech: Installed. No version info available.
google-cloud-translate: Installed. No version info available.
google-cloud-vision: Installed. No version info available.
google-generativeai: 0.8.3
googlemaps: Installed. No version info available.
gritql: 0.1.5
groq: 0.13.0
grpcio: 1.67.1
httpx: 0.27.2
httpx-sse: 0.4.0
huggingface-hub: 0.26.2
jsonpatch: 1.33
langserve[all]: Installed. No version info available.
numpy: 2.2.0
openai: 1.54.4
orjson: 3.10.11
packaging: 24.2
pandas: 2.2.3
pyarrow: 18.1.0
pydantic: 2.9.2
pydantic-settings: 2.6.1
pymilvus: 2.5.0
PyYAML: 6.0.2
requests: 2.32.3
requests-toolbelt: 1.0.0
sentence-transformers: 3.3.0
SQLAlchemy: 2.0.35
sse-starlette: 1.8.2
tenacity: 9.0.0
tiktoken: 0.8.0
tokenizers: 0.20.3
tomlkit: 0.12.0
transformers: 4.46.2
typer[all]: Installed. No version info available.
typing-extensions: 4.12.2
uvicorn: 0.32.0
volcengine-python-sdk[ark]: Installed. No version info available.

[jason571]

    self.prompt = config.get_prompt("system_monitor_template_test3")
    self.system = self.prompt
    graph = StateGraph(AgentState)
    graph.add_node("llm", self.call_agents)
    graph.add_node("action", self.take_action)
    graph.add_conditional_edges(
        "llm",
        self.exists_action,
        {True: "action", False: END}
    )
    self.llm = self.interface.get_current_model(0.2,0.2,10)
    self.create_tools()
    graph.add_edge("action", "llm")
    graph.set_entry_point("llm")
    #self.memory = SqliteSaver.from_conn_string(":memory:")
    self.memory = MemorySaver()
    self.graph = graph.compile(checkpointer=self.memory)

def create_tools(self):
    """Creates tools for the agent"""
    retriever = self.interface.get_retriever()
    function = FunctionCall(retriever)
    self.tools = function.get_tools()
    self.toolsData = {t.name: t for t in self.tools}

def exists_action(self, state: AgentState):
    result = state['messages'][-1]
    return len(result.tool_calls) > 0

def call_agents(self, state: AgentState):
    if not self.agent_executor:
        self.create_agent_node()
    messages = state.get('messages', [])
    mylogging.info(messages)
    result = self.agent_executor.invoke({"messages": messages})
    return {'messages': [result]}

[jason571]

This error looks like the LLM has already returned

[jason571]

This may be my wrong way of using it, the issue can be close

[keenborder786]

tools=self.tools should be a list of BaseTools class