Error while Building Langgraph Agent

[Abeshith]

from langchain.chat_models import init_chat_model
llm=init_chat_model("groq:llama3-8b-8192")
llm

from langchain_core.tools import tool

@tool
def add(a:float,b:float):
"""Add two number"""
return a+b

tools=[add]
tool_node=ToolNode([add])

llm_with_tool=llms.bind_tools([add])

and if i do
llm_with_tool.invoke("What is machine learning?")
its raises a BADREQUESTERROR

---

BadRequestError Traceback (most recent call last)
Cell In[8], line 1
----> 1 llm_with_tool.invoke("What is AI?")

File d:\LangGraph\langgraph-handson\Lib\site-packages\langchain_core\runnables\base.py:5431, in RunnableBindingBase.invoke(self, input, config, **kwargs)
5424 @OverRide
5425 def invoke(
5426 self,
(...) 5429 **kwargs: Optional[Any],
5430 ) -> Output:
-> 5431 return self.bound.invoke(
5432 input,
5433 self._merge_configs(config),
5434 **{**self.kwargs, **kwargs},
5435 )

File d:\LangGraph\langgraph-handson\Lib\site-packages\langchain_core\language_models\chat_models.py:378, in BaseChatModel.invoke(self, input, config, stop, **kwargs)
366 @OverRide
367 def invoke(
368 self,
(...) 373 **kwargs: Any,
374 ) -> BaseMessage:
375 config = ensure_config(config)
376 return cast(
377 "ChatGeneration",
--> 378 self.generate_prompt(
379 [self._convert_input(input)],
380 stop=stop,
381 callbacks=config.get("callbacks"),
382 tags=config.get("tags"),
383 metadata=config.get("metadata"),
384 run_name=config.get("run_name"),
385 run_id=config.pop("run_id", None),
386 **kwargs,
387 ).generations[0][0],
388 ).message

File d:\LangGraph\langgraph-handson\Lib\site-packages\langchain_core\language_models\chat_models.py:963, in BaseChatModel.generate_prompt(self, prompts, stop, callbacks, **kwargs)
954 @OverRide
955 def generate_prompt(
956 self,
(...) 960 **kwargs: Any,
961 ) -> LLMResult:
962 prompt_messages = [p.to_messages() for p in prompts]
--> 963 return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)

File d:\LangGraph\langgraph-handson\Lib\site-packages\langchain_core\language_models\chat_models.py:782, in BaseChatModel.generate(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs)
779 for i, m in enumerate(input_messages):
780 try:
781 results.append(
--> 782 self._generate_with_cache(
783 m,
784 stop=stop,
785 run_manager=run_managers[i] if run_managers else None,
786 **kwargs,
787 )
788 )
789 except BaseException as e:
790 if run_managers:

File d:\LangGraph\langgraph-handson\Lib\site-packages\langchain_core\language_models\chat_models.py:1028, in BaseChatModel._generate_with_cache(self, messages, stop, run_manager, **kwargs)
1026 result = generate_from_stream(iter(chunks))
1027 elif inspect.signature(self._generate).parameters.get("run_manager"):
-> 1028 result = self._generate(
1029 messages, stop=stop, run_manager=run_manager, **kwargs
1030 )
1031 else:
1032 result = self._generate(messages, stop=stop, **kwargs)

File d:\LangGraph\langgraph-handson\Lib\site-packages\langchain_groq\chat_models.py:536, in ChatGroq._generate(self, messages, stop, run_manager, **kwargs)
531 message_dicts, params = self._create_message_dicts(messages, stop)
532 params = {
533 **params,
534 **kwargs,
535 }
--> 536 response = self.client.create(messages=message_dicts, **params)
537 return self._create_chat_result(response)

File d:\LangGraph\langgraph-handson\Lib\site-packages\groq\resources\chat\completions.py:368, in Completions.create(self, messages, model, exclude_domains, frequency_penalty, function_call, functions, include_domains, logit_bias, logprobs, max_completion_tokens, max_tokens, metadata, n, parallel_tool_calls, presence_penalty, reasoning_effort, reasoning_format, response_format, search_settings, seed, service_tier, stop, store, stream, temperature, tool_choice, tools, top_logprobs, top_p, user, extra_headers, extra_query, extra_body, timeout)
181 def create(
182 self,
183 *,
(...) 229 timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
230 ) -> ChatCompletion | Stream[ChatCompletionChunk]:
231 """
232 Creates a model response for the given chat conversation.
233
(...) 366 timeout: Override the client-level default timeout for this request, in seconds
367 """
--> 368 return self._post(
369 "/openai/v1/chat/completions",
370 body=maybe_transform(
371 {
372 "messages": messages,
...
-> 1034 raise self._make_status_error_from_response(err.response) from None
1036 break
1038 assert response is not None, "could not resolve response (should never happen)"

BadRequestError: Error code: 400 - {'error': {'message': "Failed to call a function. Please adjust your prompt. See 'failed_generation' for more details.", 'type': 'invalid_request_error', 'code': 'tool_use_failed', 'failed_generation': '\n{\n "tool_calls": [\n {\n "id": "pending",\n "type": "function",\n "function": {\n "name": "define_ai"\n },\n "parameters": {\n "description": "A type of artificial intelligence that enables machines to learn, reason, and act like humans."\n }\n }\n ]\n}\n'}}
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...