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Error code 400: 'Web Scraper' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'messages.3.name' #16

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opened 2026-02-15 17:05:29 -05:00 by yindo · 1 comment
yindo commented 2026-02-15 17:05:29 -05:00
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Originally created by @VictorBargains on GitHub (Mar 27, 2024).

Trying langgraph with a research task, replacing the prompt in the "Hierarchical Agent Teams" notebook with my own. Running a copy of the notebook within VSCode on Windows 11.

The graph runs, and I can see the run on langsmith, but now after some amount of time, I always get this error:
Error code 400: 'Web Scraper' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'messages.3.name'

as part of this larger error trace:

{
	"name": "BadRequestError",
	"message": "Error code: 400 - {'error': {'message': \"'Web Scraper' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'messages.3.name'\", 'type': 'invalid_request_error', 'param': None, 'code': None}}",
	"stack": "---------------------------------------------------------------------------
BadRequestError                           Traceback (most recent call last)
Cell In[15], line 1
----> 1 for s in super_graph.stream(
      2     {
      3         \"messages\": [
      4             HumanMessage(
      5                 content=research_tasks[0]
      6             )
      7         ],
      8     },
      9     {\"recursion_limit\": 150},
     10 ):
     11     if \"__end__\" not in s:
     12         print(s)

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:886, in Pregel.transform(self, input, config, output_keys, input_keys, interrupt_before_nodes, interrupt_after_nodes, debug, **kwargs)
    874 def transform(
    875     self,
    876     input: Iterator[Union[dict[str, Any], Any]],
   (...)
    884     **kwargs: Any,
    885 ) -> Iterator[Union[dict[str, Any], Any]]:
--> 886     for chunk in self._transform_stream_with_config(
    887         input,
    888         self._transform,
    889         config,
    890         output_keys=output_keys,
    891         input_keys=input_keys,
    892         interrupt_before_nodes=interrupt_before_nodes,
    893         interrupt_after_nodes=interrupt_after_nodes,
    894         debug=debug,
    895         **kwargs,
    896     ):
    897         yield chunk

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:1849, in Runnable._transform_stream_with_config(self, input, transformer, config, run_type, **kwargs)
   1847 try:
   1848     while True:
-> 1849         chunk: Output = context.run(next, iterator)  # type: ignore
   1850         yield chunk
   1851         if final_output_supported:

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:572, in Pregel._transform(self, input, run_manager, config, **kwargs)
    565 done, inflight = concurrent.futures.wait(
    566     futures,
    567     return_when=concurrent.futures.FIRST_EXCEPTION,
    568     timeout=self.step_timeout,
    569 )
    571 # panic on failure or timeout
--> 572 _panic_or_proceed(done, inflight, step)
    574 # apply writes to channels
    575 _apply_writes(
    576     checkpoint, channels, pending_writes, config, step + 1
    577 )

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:990, in _panic_or_proceed(done, inflight, step)
    988             inflight.pop().cancel()
    989         # raise the exception
--> 990         raise exc
    991         # TODO this is where retry of an entire step would happen
    993 if inflight:
    994     # if we got here means we timed out

File C:\\Program Files\\WindowsApps\\PythonSoftwareFoundation.Python.3.10_3.10.3056.0_x64__qbz5n2kfra8p0\\lib\\concurrent\\futures\\thread.py:58, in _WorkItem.run(self)
     55     return
     57 try:
---> 58     result = self.fn(*self.args, **self.kwargs)
     59 except BaseException as exc:
     60     self.future.set_exception(exc)

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:4427, in RunnableBindingBase.invoke(self, input, config, **kwargs)
   4421 def invoke(
   4422     self,
   4423     input: Input,
   4424     config: Optional[RunnableConfig] = None,
   4425     **kwargs: Optional[Any],
   4426 ) -> Output:
-> 4427     return self.bound.invoke(
   4428         input,
   4429         self._merge_configs(config),
   4430         **{**self.kwargs, **kwargs},
   4431     )

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:2415, in RunnableSequence.invoke(self, input, config)
   2413 try:
   2414     for i, step in enumerate(self.steps):
-> 2415         input = step.invoke(
   2416             input,
   2417             # mark each step as a child run
   2418             patch_config(
   2419                 config, callbacks=run_manager.get_child(f\"seq:step:{i+1}\")
   2420             ),
   2421         )
   2422 # finish the root run
   2423 except BaseException as e:

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:838, in Pregel.invoke(self, input, config, output_keys, input_keys, interrupt_before_nodes, interrupt_after_nodes, debug, **kwargs)
    825 def invoke(
    826     self,
    827     input: Union[dict[str, Any], Any],
   (...)
    835     **kwargs: Any,
    836 ) -> Union[dict[str, Any], Any]:
    837     latest: Union[dict[str, Any], Any] = None
--> 838     for chunk in self.stream(
    839         input,
    840         config,
    841         output_keys=output_keys if output_keys is not None else self.output,
    842         input_keys=input_keys,
    843         interrupt_before_nodes=interrupt_before_nodes,
    844         interrupt_after_nodes=interrupt_after_nodes,
    845         debug=debug,
    846         **kwargs,
    847     ):
    848         latest = chunk
    849     return latest

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:886, in Pregel.transform(self, input, config, output_keys, input_keys, interrupt_before_nodes, interrupt_after_nodes, debug, **kwargs)
    874 def transform(
    875     self,
    876     input: Iterator[Union[dict[str, Any], Any]],
   (...)
    884     **kwargs: Any,
    885 ) -> Iterator[Union[dict[str, Any], Any]]:
--> 886     for chunk in self._transform_stream_with_config(
    887         input,
    888         self._transform,
    889         config,
    890         output_keys=output_keys,
    891         input_keys=input_keys,
    892         interrupt_before_nodes=interrupt_before_nodes,
    893         interrupt_after_nodes=interrupt_after_nodes,
    894         debug=debug,
    895         **kwargs,
    896     ):
    897         yield chunk

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:1849, in Runnable._transform_stream_with_config(self, input, transformer, config, run_type, **kwargs)
   1847 try:
   1848     while True:
-> 1849         chunk: Output = context.run(next, iterator)  # type: ignore
   1850         yield chunk
   1851         if final_output_supported:

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:572, in Pregel._transform(self, input, run_manager, config, **kwargs)
    565 done, inflight = concurrent.futures.wait(
    566     futures,
    567     return_when=concurrent.futures.FIRST_EXCEPTION,
    568     timeout=self.step_timeout,
    569 )
    571 # panic on failure or timeout
--> 572 _panic_or_proceed(done, inflight, step)
    574 # apply writes to channels
    575 _apply_writes(
    576     checkpoint, channels, pending_writes, config, step + 1
    577 )

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:990, in _panic_or_proceed(done, inflight, step)
    988             inflight.pop().cancel()
    989         # raise the exception
--> 990         raise exc
    991         # TODO this is where retry of an entire step would happen
    993 if inflight:
    994     # if we got here means we timed out

File C:\\Program Files\\WindowsApps\\PythonSoftwareFoundation.Python.3.10_3.10.3056.0_x64__qbz5n2kfra8p0\\lib\\concurrent\\futures\\thread.py:58, in _WorkItem.run(self)
     55     return
     57 try:
---> 58     result = self.fn(*self.args, **self.kwargs)
     59 except BaseException as exc:
     60     self.future.set_exception(exc)

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:4427, in RunnableBindingBase.invoke(self, input, config, **kwargs)
   4421 def invoke(
   4422     self,
   4423     input: Input,
   4424     config: Optional[RunnableConfig] = None,
   4425     **kwargs: Optional[Any],
   4426 ) -> Output:
-> 4427     return self.bound.invoke(
   4428         input,
   4429         self._merge_configs(config),
   4430         **{**self.kwargs, **kwargs},
   4431     )

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:2415, in RunnableSequence.invoke(self, input, config)
   2413 try:
   2414     for i, step in enumerate(self.steps):
-> 2415         input = step.invoke(
   2416             input,
   2417             # mark each step as a child run
   2418             patch_config(
   2419                 config, callbacks=run_manager.get_child(f\"seq:step:{i+1}\")
   2420             ),
   2421         )
   2422 # finish the root run
   2423 except BaseException as e:

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:4427, in RunnableBindingBase.invoke(self, input, config, **kwargs)
   4421 def invoke(
   4422     self,
   4423     input: Input,
   4424     config: Optional[RunnableConfig] = None,
   4425     **kwargs: Optional[Any],
   4426 ) -> Output:
-> 4427     return self.bound.invoke(
   4428         input,
   4429         self._merge_configs(config),
   4430         **{**self.kwargs, **kwargs},
   4431     )

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\language_models\\chat_models.py:153, in BaseChatModel.invoke(self, input, config, stop, **kwargs)
    142 def invoke(
    143     self,
    144     input: LanguageModelInput,
   (...)
    148     **kwargs: Any,
    149 ) -> BaseMessage:
    150     config = ensure_config(config)
    151     return cast(
    152         ChatGeneration,
--> 153         self.generate_prompt(
    154             [self._convert_input(input)],
    155             stop=stop,
    156             callbacks=config.get(\"callbacks\"),
    157             tags=config.get(\"tags\"),
    158             metadata=config.get(\"metadata\"),
    159             run_name=config.get(\"run_name\"),
    160             **kwargs,
    161         ).generations[0][0],
    162     ).message

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\language_models\\chat_models.py:546, in BaseChatModel.generate_prompt(self, prompts, stop, callbacks, **kwargs)
    538 def generate_prompt(
    539     self,
    540     prompts: List[PromptValue],
   (...)
    543     **kwargs: Any,
    544 ) -> LLMResult:
    545     prompt_messages = [p.to_messages() for p in prompts]
--> 546     return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\language_models\\chat_models.py:407, in BaseChatModel.generate(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs)
    405         if run_managers:
    406             run_managers[i].on_llm_error(e, response=LLMResult(generations=[]))
--> 407         raise e
    408 flattened_outputs = [
    409     LLMResult(generations=[res.generations], llm_output=res.llm_output)  # type: ignore[list-item]
    410     for res in results
    411 ]
    412 llm_output = self._combine_llm_outputs([res.llm_output for res in results])

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\language_models\\chat_models.py:397, in BaseChatModel.generate(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs)
    394 for i, m in enumerate(messages):
    395     try:
    396         results.append(
--> 397             self._generate_with_cache(
    398                 m,
    399                 stop=stop,
    400                 run_manager=run_managers[i] if run_managers else None,
    401                 **kwargs,
    402             )
    403         )
    404     except BaseException as e:
    405         if run_managers:

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\language_models\\chat_models.py:589, in BaseChatModel._generate_with_cache(self, messages, stop, run_manager, **kwargs)
    585         raise ValueError(
    586             \"Asked to cache, but no cache found at `langchain.cache`.\"
    587         )
    588 if inspect.signature(self._generate).parameters.get(\"run_manager\"):
--> 589     result = self._generate(
    590         messages, stop=stop, run_manager=run_manager, **kwargs
    591     )
    592 else:
    593     result = self._generate(messages, stop=stop, **kwargs)

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_openai\\chat_models\\base.py:484, in ChatOpenAI._generate(self, messages, stop, run_manager, stream, **kwargs)
    478 message_dicts, params = self._create_message_dicts(messages, stop)
    479 params = {
    480     **params,
    481     **({\"stream\": stream} if stream is not None else {}),
    482     **kwargs,
    483 }
--> 484 response = self.client.create(messages=message_dicts, **params)
    485 return self._create_chat_result(response)

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\openai\\_utils\\_utils.py:275, in required_args.<locals>.inner.<locals>.wrapper(*args, **kwargs)
    273             msg = f\"Missing required argument: {quote(missing[0])}\"
    274     raise TypeError(msg)
--> 275 return func(*args, **kwargs)

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\openai\\resources\\chat\\completions.py:663, in Completions.create(self, messages, model, frequency_penalty, function_call, functions, logit_bias, logprobs, max_tokens, n, presence_penalty, response_format, seed, stop, stream, temperature, tool_choice, tools, top_logprobs, top_p, user, extra_headers, extra_query, extra_body, timeout)
    611 @required_args([\"messages\", \"model\"], [\"messages\", \"model\", \"stream\"])
    612 def create(
    613     self,
   (...)
    661     timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
    662 ) -> ChatCompletion | Stream[ChatCompletionChunk]:
--> 663     return self._post(
    664         \"/chat/completions\",
    665         body=maybe_transform(
    666             {
    667                 \"messages\": messages,
    668                 \"model\": model,
    669                 \"frequency_penalty\": frequency_penalty,
    670                 \"function_call\": function_call,
    671                 \"functions\": functions,
    672                 \"logit_bias\": logit_bias,
    673                 \"logprobs\": logprobs,
    674                 \"max_tokens\": max_tokens,
    675                 \"n\": n,
    676                 \"presence_penalty\": presence_penalty,
    677                 \"response_format\": response_format,
    678                 \"seed\": seed,
    679                 \"stop\": stop,
    680                 \"stream\": stream,
    681                 \"temperature\": temperature,
    682                 \"tool_choice\": tool_choice,
    683                 \"tools\": tools,
    684                 \"top_logprobs\": top_logprobs,
    685                 \"top_p\": top_p,
    686                 \"user\": user,
    687             },
    688             completion_create_params.CompletionCreateParams,
    689         ),
    690         options=make_request_options(
    691             extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
    692         ),
    693         cast_to=ChatCompletion,
    694         stream=stream or False,
    695         stream_cls=Stream[ChatCompletionChunk],
    696     )

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\openai\\_base_client.py:1200, in SyncAPIClient.post(self, path, cast_to, body, options, files, stream, stream_cls)
   1186 def post(
   1187     self,
   1188     path: str,
   (...)
   1195     stream_cls: type[_StreamT] | None = None,
   1196 ) -> ResponseT | _StreamT:
   1197     opts = FinalRequestOptions.construct(
   1198         method=\"post\", url=path, json_data=body, files=to_httpx_files(files), **options
   1199     )
-> 1200     return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls))

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\openai\\_base_client.py:889, in SyncAPIClient.request(self, cast_to, options, remaining_retries, stream, stream_cls)
    880 def request(
    881     self,
    882     cast_to: Type[ResponseT],
   (...)
    887     stream_cls: type[_StreamT] | None = None,
    888 ) -> ResponseT | _StreamT:
--> 889     return self._request(
    890         cast_to=cast_to,
    891         options=options,
    892         stream=stream,
    893         stream_cls=stream_cls,
    894         remaining_retries=remaining_retries,
    895     )

File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\openai\\_base_client.py:980, in SyncAPIClient._request(self, cast_to, options, remaining_retries, stream, stream_cls)
    977         err.response.read()
    979     log.debug(\"Re-raising status error\")
--> 980     raise self._make_status_error_from_response(err.response) from None
    982 return self._process_response(
    983     cast_to=cast_to,
    984     options=options,
   (...)
    987     stream_cls=stream_cls,
    988 )

BadRequestError: Error code: 400 - {'error': {'message': \"'Web Scraper' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'messages.3.name'\", 'type': 'invalid_request_error', 'param': None, 'code': None}}"
}

I can't find the regex in the workbook, so it must be somewhere in other code. The workbook puts a space in the name of 'Web Scraper' which appears to be causing the error. When I search and replace inside the notebook so all agent names omit spaces, then I stop getting this error. If this code is in langgraph then it should be patched to accept spaces in an agent name. If this code is not in langgraph, then the example workbooks should be patched to omit spaces in agent names.

Originally created by @VictorBargains on GitHub (Mar 27, 2024). Trying langgraph with a research task, replacing the prompt in the "Hierarchical Agent Teams" notebook with my own. Running a copy of the notebook within VSCode on Windows 11. The graph runs, and I can see the run on langsmith, but now after some amount of time, I always get this error: ```Error code 400: 'Web Scraper' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'messages.3.name'``` as part of this larger error trace: ``` { "name": "BadRequestError", "message": "Error code: 400 - {'error': {'message': \"'Web Scraper' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'messages.3.name'\", 'type': 'invalid_request_error', 'param': None, 'code': None}}", "stack": "--------------------------------------------------------------------------- BadRequestError Traceback (most recent call last) Cell In[15], line 1 ----> 1 for s in super_graph.stream( 2 { 3 \"messages\": [ 4 HumanMessage( 5 content=research_tasks[0] 6 ) 7 ], 8 }, 9 {\"recursion_limit\": 150}, 10 ): 11 if \"__end__\" not in s: 12 print(s) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:886, in Pregel.transform(self, input, config, output_keys, input_keys, interrupt_before_nodes, interrupt_after_nodes, debug, **kwargs) 874 def transform( 875 self, 876 input: Iterator[Union[dict[str, Any], Any]], (...) 884 **kwargs: Any, 885 ) -> Iterator[Union[dict[str, Any], Any]]: --> 886 for chunk in self._transform_stream_with_config( 887 input, 888 self._transform, 889 config, 890 output_keys=output_keys, 891 input_keys=input_keys, 892 interrupt_before_nodes=interrupt_before_nodes, 893 interrupt_after_nodes=interrupt_after_nodes, 894 debug=debug, 895 **kwargs, 896 ): 897 yield chunk File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:1849, in Runnable._transform_stream_with_config(self, input, transformer, config, run_type, **kwargs) 1847 try: 1848 while True: -> 1849 chunk: Output = context.run(next, iterator) # type: ignore 1850 yield chunk 1851 if final_output_supported: File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:572, in Pregel._transform(self, input, run_manager, config, **kwargs) 565 done, inflight = concurrent.futures.wait( 566 futures, 567 return_when=concurrent.futures.FIRST_EXCEPTION, 568 timeout=self.step_timeout, 569 ) 571 # panic on failure or timeout --> 572 _panic_or_proceed(done, inflight, step) 574 # apply writes to channels 575 _apply_writes( 576 checkpoint, channels, pending_writes, config, step + 1 577 ) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:990, in _panic_or_proceed(done, inflight, step) 988 inflight.pop().cancel() 989 # raise the exception --> 990 raise exc 991 # TODO this is where retry of an entire step would happen 993 if inflight: 994 # if we got here means we timed out File C:\\Program Files\\WindowsApps\\PythonSoftwareFoundation.Python.3.10_3.10.3056.0_x64__qbz5n2kfra8p0\\lib\\concurrent\\futures\\thread.py:58, in _WorkItem.run(self) 55 return 57 try: ---> 58 result = self.fn(*self.args, **self.kwargs) 59 except BaseException as exc: 60 self.future.set_exception(exc) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:4427, in RunnableBindingBase.invoke(self, input, config, **kwargs) 4421 def invoke( 4422 self, 4423 input: Input, 4424 config: Optional[RunnableConfig] = None, 4425 **kwargs: Optional[Any], 4426 ) -> Output: -> 4427 return self.bound.invoke( 4428 input, 4429 self._merge_configs(config), 4430 **{**self.kwargs, **kwargs}, 4431 ) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:2415, in RunnableSequence.invoke(self, input, config) 2413 try: 2414 for i, step in enumerate(self.steps): -> 2415 input = step.invoke( 2416 input, 2417 # mark each step as a child run 2418 patch_config( 2419 config, callbacks=run_manager.get_child(f\"seq:step:{i+1}\") 2420 ), 2421 ) 2422 # finish the root run 2423 except BaseException as e: File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:838, in Pregel.invoke(self, input, config, output_keys, input_keys, interrupt_before_nodes, interrupt_after_nodes, debug, **kwargs) 825 def invoke( 826 self, 827 input: Union[dict[str, Any], Any], (...) 835 **kwargs: Any, 836 ) -> Union[dict[str, Any], Any]: 837 latest: Union[dict[str, Any], Any] = None --> 838 for chunk in self.stream( 839 input, 840 config, 841 output_keys=output_keys if output_keys is not None else self.output, 842 input_keys=input_keys, 843 interrupt_before_nodes=interrupt_before_nodes, 844 interrupt_after_nodes=interrupt_after_nodes, 845 debug=debug, 846 **kwargs, 847 ): 848 latest = chunk 849 return latest File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:886, in Pregel.transform(self, input, config, output_keys, input_keys, interrupt_before_nodes, interrupt_after_nodes, debug, **kwargs) 874 def transform( 875 self, 876 input: Iterator[Union[dict[str, Any], Any]], (...) 884 **kwargs: Any, 885 ) -> Iterator[Union[dict[str, Any], Any]]: --> 886 for chunk in self._transform_stream_with_config( 887 input, 888 self._transform, 889 config, 890 output_keys=output_keys, 891 input_keys=input_keys, 892 interrupt_before_nodes=interrupt_before_nodes, 893 interrupt_after_nodes=interrupt_after_nodes, 894 debug=debug, 895 **kwargs, 896 ): 897 yield chunk File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:1849, in Runnable._transform_stream_with_config(self, input, transformer, config, run_type, **kwargs) 1847 try: 1848 while True: -> 1849 chunk: Output = context.run(next, iterator) # type: ignore 1850 yield chunk 1851 if final_output_supported: File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:572, in Pregel._transform(self, input, run_manager, config, **kwargs) 565 done, inflight = concurrent.futures.wait( 566 futures, 567 return_when=concurrent.futures.FIRST_EXCEPTION, 568 timeout=self.step_timeout, 569 ) 571 # panic on failure or timeout --> 572 _panic_or_proceed(done, inflight, step) 574 # apply writes to channels 575 _apply_writes( 576 checkpoint, channels, pending_writes, config, step + 1 577 ) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langgraph\\pregel\\__init__.py:990, in _panic_or_proceed(done, inflight, step) 988 inflight.pop().cancel() 989 # raise the exception --> 990 raise exc 991 # TODO this is where retry of an entire step would happen 993 if inflight: 994 # if we got here means we timed out File C:\\Program Files\\WindowsApps\\PythonSoftwareFoundation.Python.3.10_3.10.3056.0_x64__qbz5n2kfra8p0\\lib\\concurrent\\futures\\thread.py:58, in _WorkItem.run(self) 55 return 57 try: ---> 58 result = self.fn(*self.args, **self.kwargs) 59 except BaseException as exc: 60 self.future.set_exception(exc) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:4427, in RunnableBindingBase.invoke(self, input, config, **kwargs) 4421 def invoke( 4422 self, 4423 input: Input, 4424 config: Optional[RunnableConfig] = None, 4425 **kwargs: Optional[Any], 4426 ) -> Output: -> 4427 return self.bound.invoke( 4428 input, 4429 self._merge_configs(config), 4430 **{**self.kwargs, **kwargs}, 4431 ) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:2415, in RunnableSequence.invoke(self, input, config) 2413 try: 2414 for i, step in enumerate(self.steps): -> 2415 input = step.invoke( 2416 input, 2417 # mark each step as a child run 2418 patch_config( 2419 config, callbacks=run_manager.get_child(f\"seq:step:{i+1}\") 2420 ), 2421 ) 2422 # finish the root run 2423 except BaseException as e: File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\runnables\\base.py:4427, in RunnableBindingBase.invoke(self, input, config, **kwargs) 4421 def invoke( 4422 self, 4423 input: Input, 4424 config: Optional[RunnableConfig] = None, 4425 **kwargs: Optional[Any], 4426 ) -> Output: -> 4427 return self.bound.invoke( 4428 input, 4429 self._merge_configs(config), 4430 **{**self.kwargs, **kwargs}, 4431 ) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\language_models\\chat_models.py:153, in BaseChatModel.invoke(self, input, config, stop, **kwargs) 142 def invoke( 143 self, 144 input: LanguageModelInput, (...) 148 **kwargs: Any, 149 ) -> BaseMessage: 150 config = ensure_config(config) 151 return cast( 152 ChatGeneration, --> 153 self.generate_prompt( 154 [self._convert_input(input)], 155 stop=stop, 156 callbacks=config.get(\"callbacks\"), 157 tags=config.get(\"tags\"), 158 metadata=config.get(\"metadata\"), 159 run_name=config.get(\"run_name\"), 160 **kwargs, 161 ).generations[0][0], 162 ).message File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\language_models\\chat_models.py:546, in BaseChatModel.generate_prompt(self, prompts, stop, callbacks, **kwargs) 538 def generate_prompt( 539 self, 540 prompts: List[PromptValue], (...) 543 **kwargs: Any, 544 ) -> LLMResult: 545 prompt_messages = [p.to_messages() for p in prompts] --> 546 return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\language_models\\chat_models.py:407, in BaseChatModel.generate(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs) 405 if run_managers: 406 run_managers[i].on_llm_error(e, response=LLMResult(generations=[])) --> 407 raise e 408 flattened_outputs = [ 409 LLMResult(generations=[res.generations], llm_output=res.llm_output) # type: ignore[list-item] 410 for res in results 411 ] 412 llm_output = self._combine_llm_outputs([res.llm_output for res in results]) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\language_models\\chat_models.py:397, in BaseChatModel.generate(self, messages, stop, callbacks, tags, metadata, run_name, run_id, **kwargs) 394 for i, m in enumerate(messages): 395 try: 396 results.append( --> 397 self._generate_with_cache( 398 m, 399 stop=stop, 400 run_manager=run_managers[i] if run_managers else None, 401 **kwargs, 402 ) 403 ) 404 except BaseException as e: 405 if run_managers: File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_core\\language_models\\chat_models.py:589, in BaseChatModel._generate_with_cache(self, messages, stop, run_manager, **kwargs) 585 raise ValueError( 586 \"Asked to cache, but no cache found at `langchain.cache`.\" 587 ) 588 if inspect.signature(self._generate).parameters.get(\"run_manager\"): --> 589 result = self._generate( 590 messages, stop=stop, run_manager=run_manager, **kwargs 591 ) 592 else: 593 result = self._generate(messages, stop=stop, **kwargs) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\langchain_openai\\chat_models\\base.py:484, in ChatOpenAI._generate(self, messages, stop, run_manager, stream, **kwargs) 478 message_dicts, params = self._create_message_dicts(messages, stop) 479 params = { 480 **params, 481 **({\"stream\": stream} if stream is not None else {}), 482 **kwargs, 483 } --> 484 response = self.client.create(messages=message_dicts, **params) 485 return self._create_chat_result(response) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\openai\\_utils\\_utils.py:275, in required_args.<locals>.inner.<locals>.wrapper(*args, **kwargs) 273 msg = f\"Missing required argument: {quote(missing[0])}\" 274 raise TypeError(msg) --> 275 return func(*args, **kwargs) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\openai\\resources\\chat\\completions.py:663, in Completions.create(self, messages, model, frequency_penalty, function_call, functions, logit_bias, logprobs, max_tokens, n, presence_penalty, response_format, seed, stop, stream, temperature, tool_choice, tools, top_logprobs, top_p, user, extra_headers, extra_query, extra_body, timeout) 611 @required_args([\"messages\", \"model\"], [\"messages\", \"model\", \"stream\"]) 612 def create( 613 self, (...) 661 timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, 662 ) -> ChatCompletion | Stream[ChatCompletionChunk]: --> 663 return self._post( 664 \"/chat/completions\", 665 body=maybe_transform( 666 { 667 \"messages\": messages, 668 \"model\": model, 669 \"frequency_penalty\": frequency_penalty, 670 \"function_call\": function_call, 671 \"functions\": functions, 672 \"logit_bias\": logit_bias, 673 \"logprobs\": logprobs, 674 \"max_tokens\": max_tokens, 675 \"n\": n, 676 \"presence_penalty\": presence_penalty, 677 \"response_format\": response_format, 678 \"seed\": seed, 679 \"stop\": stop, 680 \"stream\": stream, 681 \"temperature\": temperature, 682 \"tool_choice\": tool_choice, 683 \"tools\": tools, 684 \"top_logprobs\": top_logprobs, 685 \"top_p\": top_p, 686 \"user\": user, 687 }, 688 completion_create_params.CompletionCreateParams, 689 ), 690 options=make_request_options( 691 extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout 692 ), 693 cast_to=ChatCompletion, 694 stream=stream or False, 695 stream_cls=Stream[ChatCompletionChunk], 696 ) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\openai\\_base_client.py:1200, in SyncAPIClient.post(self, path, cast_to, body, options, files, stream, stream_cls) 1186 def post( 1187 self, 1188 path: str, (...) 1195 stream_cls: type[_StreamT] | None = None, 1196 ) -> ResponseT | _StreamT: 1197 opts = FinalRequestOptions.construct( 1198 method=\"post\", url=path, json_data=body, files=to_httpx_files(files), **options 1199 ) -> 1200 return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\openai\\_base_client.py:889, in SyncAPIClient.request(self, cast_to, options, remaining_retries, stream, stream_cls) 880 def request( 881 self, 882 cast_to: Type[ResponseT], (...) 887 stream_cls: type[_StreamT] | None = None, 888 ) -> ResponseT | _StreamT: --> 889 return self._request( 890 cast_to=cast_to, 891 options=options, 892 stream=stream, 893 stream_cls=stream_cls, 894 remaining_retries=remaining_retries, 895 ) File ~\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python310\\site-packages\\openai\\_base_client.py:980, in SyncAPIClient._request(self, cast_to, options, remaining_retries, stream, stream_cls) 977 err.response.read() 979 log.debug(\"Re-raising status error\") --> 980 raise self._make_status_error_from_response(err.response) from None 982 return self._process_response( 983 cast_to=cast_to, 984 options=options, (...) 987 stream_cls=stream_cls, 988 ) BadRequestError: Error code: 400 - {'error': {'message': \"'Web Scraper' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'messages.3.name'\", 'type': 'invalid_request_error', 'param': None, 'code': None}}" } ``` I can't find the regex in the workbook, so it must be somewhere in other code. The workbook puts a space in the name of `'Web Scraper'` which appears to be causing the error. When I search and replace inside the notebook so all agent names omit spaces, then I stop getting this error. If this code is in langgraph then it should be patched to accept spaces in an agent name. If this code is not in langgraph, then the example workbooks should be patched to omit spaces in agent names.
yindo closed this issue 2026-02-15 17:05:29 -05:00
yindo commented 2026-02-15 17:05:29 -05:00
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@VictorBargains commented on GitHub (Mar 27, 2024):

oops, accidentally filed to the js repo. this is a python issue

@VictorBargains commented on GitHub (Mar 27, 2024): oops, accidentally filed to the js repo. this is a python issue
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Reference: langchain-ai/langgraphjs#16
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