Free Auto GPT with NO paids API is a repository that offers a simple version of Auto GPT, an autonomous AI agent capable of performing tasks independently. Unlike other versions, our implementation does not rely on any paid OpenAI API, making it accessible to anyone.
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ERROR: OpenAI: {"detail":{"message":"Could not parse your authentication token. #152
⚠️INSTRUCTIONS:
- Enter ONE "x" inside the brackets [x] to choose the answer
- [x] Example
- [ ] Example2
Have you already searched for your ISSUE among the resolved ones?
[ x] Yes, new issue
[ ] Yes, but the solution not work for me
[ ] No
What version of Python do you have?
[x ] Last, Python > 3.11
[ ] Python >= 3.8
[ ] PIs you have Python<3.8 pease install last version of python
What version of operating system do you have?
[ ] Windows
[ x] Linux/Ububtu
[ ] Mac/OSX
What type of installation did you perform?
[ x] pip3 install -r requirements.txt
[ ] python3 -m pip install -r requirements.txt
[ ] Anaconda
[ ] Container on VS
Desktop (please complete the following information):
Browser [e.g. chrome] : Crhome
Version [e.g. 112] :
Describe the bug
I get the follow error
---------------------------------------------------------------------------
HTTPError Traceback (most recent call last)
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:723](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:723), in Chatbot.__check_response(self, response)
722 try:
--> 723 response.raise_for_status()
724 except requests.exceptions.HTTPError as ex:
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/requests/models.py:1021](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/requests/models.py:1021), in Response.raise_for_status(self)
1020 if http_error_msg:
-> 1021 raise HTTPError(http_error_msg, response=self)
HTTPError: 401 Client Error: Unauthorized for url: https://bypass.churchless.tech/conversation
The above exception was the direct cause of the following exception:
Error Traceback (most recent call last)
Cell In[4], line 1
----> 1 print(llm("Hello, how are you?"))
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:429](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:429), in BaseLLM.__call__(self, prompt, stop, callbacks, tags, metadata, **kwargs)
422 if not isinstance(prompt, str):
423 raise ValueError(
424 "Argument `prompt` is expected to be a string. Instead found "
425 f"{type(prompt)}. If you want to run the LLM on multiple prompts, use "
426 "`generate` instead."
427 )
428 return (
--> 429 self.generate(
430 [prompt],
431 stop=stop,
432 callbacks=callbacks,
433 tags=tags,
434 metadata=metadata,
435 **kwargs,
436 )
437 .generations[0][0]
438 .text
439 )
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:281](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:281), in BaseLLM.generate(self, prompts, stop, callbacks, tags, metadata, **kwargs)
275 raise ValueError(
276 "Asked to cache, but no cache found at `langchain.cache`."
277 )
278 run_managers = callback_manager.on_llm_start(
279 dumpd(self), prompts, invocation_params=params, options=options
280 )
--> 281 output = self._generate_helper(
282 prompts, stop, run_managers, bool(new_arg_supported), **kwargs
283 )
284 return output
285 if len(missing_prompts) > 0:
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:225](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:225), in BaseLLM._generate_helper(self, prompts, stop, run_managers, new_arg_supported, **kwargs)
223 for run_manager in run_managers:
224 run_manager.on_llm_error(e)
--> 225 raise e
226 flattened_outputs = output.flatten()
227 for manager, flattened_output in zip(run_managers, flattened_outputs):
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:212](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:212), in BaseLLM._generate_helper(self, prompts, stop, run_managers, new_arg_supported, **kwargs)
202 def _generate_helper(
203 self,
204 prompts: List[str],
(...)
208 **kwargs: Any,
209 ) -> LLMResult:
210 try:
211 output = (
--> 212 self._generate(
213 prompts,
214 stop=stop,
215 # TODO: support multiple run managers
216 run_manager=run_managers[0] if run_managers else None,
217 **kwargs,
218 )
219 if new_arg_supported
220 else self._generate(prompts, stop=stop)
221 )
222 except (KeyboardInterrupt, Exception) as e:
223 for run_manager in run_managers:
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:606](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:606), in LLM._generate(self, prompts, stop, run_manager, **kwargs)
601 new_arg_supported = inspect.signature(self._call).parameters.get("run_manager")
602 for prompt in prompts:
603 text = (
604 self._call(prompt, stop=stop, run_manager=run_manager, **kwargs)
605 if new_arg_supported
--> 606 else self._call(prompt, stop=stop, **kwargs)
607 )
608 generations.append([Generation(text=text)])
609 return LLMResult(generations=generations)
File [~/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/FreeLLM/ChatGPTAPI.py:47](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/FreeLLM/ChatGPTAPI.py:47), in ChatGPT._call(self, prompt, stop)
45 else:
46 sleep(2)
---> 47 response = self.chatbot(prompt)
49 self.call += 1
51 #add to history
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:429](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:429), in BaseLLM.__call__(self, prompt, stop, callbacks, tags, metadata, **kwargs)
422 if not isinstance(prompt, str):
423 raise ValueError(
424 "Argument `prompt` is expected to be a string. Instead found "
425 f"{type(prompt)}. If you want to run the LLM on multiple prompts, use "
426 "`generate` instead."
427 )
428 return (
--> 429 self.generate(
430 [prompt],
431 stop=stop,
432 callbacks=callbacks,
433 tags=tags,
434 metadata=metadata,
435 **kwargs,
436 )
437 .generations[0][0]
438 .text
439 )
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:281](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:281), in BaseLLM.generate(self, prompts, stop, callbacks, tags, metadata, **kwargs)
275 raise ValueError(
276 "Asked to cache, but no cache found at `langchain.cache`."
277 )
278 run_managers = callback_manager.on_llm_start(
279 dumpd(self), prompts, invocation_params=params, options=options
280 )
--> 281 output = self._generate_helper(
282 prompts, stop, run_managers, bool(new_arg_supported), **kwargs
283 )
284 return output
285 if len(missing_prompts) > 0:
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:225](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:225), in BaseLLM._generate_helper(self, prompts, stop, run_managers, new_arg_supported, **kwargs)
223 for run_manager in run_managers:
224 run_manager.on_llm_error(e)
--> 225 raise e
226 flattened_outputs = output.flatten()
227 for manager, flattened_output in zip(run_managers, flattened_outputs):
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:212](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:212), in BaseLLM._generate_helper(self, prompts, stop, run_managers, new_arg_supported, **kwargs)
202 def _generate_helper(
203 self,
204 prompts: List[str],
(...)
208 **kwargs: Any,
209 ) -> LLMResult:
210 try:
211 output = (
--> 212 self._generate(
213 prompts,
214 stop=stop,
215 # TODO: support multiple run managers
216 run_manager=run_managers[0] if run_managers else None,
217 **kwargs,
218 )
219 if new_arg_supported
220 else self._generate(prompts, stop=stop)
221 )
222 except (KeyboardInterrupt, Exception) as e:
223 for run_manager in run_managers:
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:606](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/langchain/llms/base.py:606), in LLM._generate(self, prompts, stop, run_manager, **kwargs)
601 new_arg_supported = inspect.signature(self._call).parameters.get("run_manager")
602 for prompt in prompts:
603 text = (
604 self._call(prompt, stop=stop, run_manager=run_manager, **kwargs)
605 if new_arg_supported
--> 606 else self._call(prompt, stop=stop, **kwargs)
607 )
608 generations.append([Generation(text=text)])
609 return LLMResult(generations=generations)
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/gpt4_openai/__init__.py:35](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/gpt4_openai/__init__.py:35), in GPT4OpenAI._call(self, prompt, stop)
28 self.chatbot = Chatbot({
29 'access_token': self.token,
30 'model': self.model,
31 'plugin_ids': self.plugin_ids
32 })
34 response = ""
---> 35 for data in self.chatbot.ask(prompt=prompt,
36 auto_continue=self.auto_continue,
37 model=self.model):
38 response = data["message"]
40 # Add to history
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:610](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:610), in Chatbot.ask(self, prompt, conversation_id, parent_id, model, plugin_ids, auto_continue, timeout, **kwargs)
581 """Ask a question to the chatbot
582 Args:
583 prompt (str): The question
(...)
599 }
600 """
601 messages = [
602 {
603 "id": str(uuid.uuid4()),
(...)
607 },
608 ]
--> 610 yield from self.post_messages(
611 messages,
612 conversation_id=conversation_id,
613 parent_id=parent_id,
614 plugin_ids=plugin_ids,
615 model=model,
616 auto_continue=auto_continue,
617 timeout=timeout,
618 )
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:563](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:563), in Chatbot.post_messages(self, messages, conversation_id, parent_id, plugin_ids, model, auto_continue, timeout, **kwargs)
560 if len(plugin_ids) > 0 and not conversation_id:
561 data["plugin_ids"] = plugin_ids
--> 563 yield from self.__send_request(
564 data,
565 timeout=timeout,
566 auto_continue=auto_continue,
567 )
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:398](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:398), in Chatbot.__send_request(self, data, auto_continue, timeout, **kwargs)
391 self.parent_id_prev_queue.append(pid)
392 response = self.session.post(
393 url=f"{self.base_url}conversation",
394 data=json.dumps(data),
395 timeout=timeout,
396 stream=True,
397 )
--> 398 self.__check_response(response)
400 finish_details = None
401 for line in response.iter_lines():
402 # remove b' and ' at the beginning and end and ignore case
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:91](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:91), in logger..decorator..wrapper(*args, **kwargs)
84 log.debug(
85 "Entering %s with args %s and kwargs %s",
86 func.__name__,
87 args,
88 kwargs,
89 )
90 start = time.time()
---> 91 out = func(*args, **kwargs)
92 end = time.time()
93 if is_timed:
File [~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:730](https://file+.vscode-resource.vscode-cdn.net/home/jncc/Documents/Aprendizaje_Profundo/Repositorios/PUBLIC_REPOS/Free-Auto-GPT/~/miniconda3/envs/online_llm_scraper/lib/python3.11/site-packages/revChatGPT/V1.py:730), in Chatbot.__check_response(self, response)
724 except requests.exceptions.HTTPError as ex:
725 error = t.Error(
726 source="OpenAI",
727 message=response.text,
728 code=response.status_code,
729 )
--> 730 raise error from ex
Error: OpenAI: {"detail":{"message":"Could not parse your authentication token. Please try signing in again.","type":"invalid_request_error","param":null,"code":"invalid_jwt"}} (code: 401)
Please check that the input is correct, or you can resolve this issue by filing an issue
Project URL: https://github.com/acheong08/ChatGPT
Additional context
my code is just
from FreeLLM.ChatGPTAPI import ChatGPT
# leer token de un .txt
with open("token_aut.txt", "r") as f:
token_aut = f.read()
llm = ChatGPT(token = token_aut) #for start new chat
print(llm("Hello, how are you?")) # <-- ERROR
⚠️INSTRUCTIONS:
- Enter ONE "x" inside the brackets [x] to choose the answer - [x] Example - [ ] Example2Have you already searched for your ISSUE among the resolved ones?
What version of Python do you have?
What version of operating system do you have?
What type of installation did you perform?
Desktop (please complete the following information):
Describe the bug I get the follow error
Additional context my code is just