Fibonacci Sequence Chat

│ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ path = '/chat/completions' │ │ │ │ self = <openai.OpenAI object at 0x7e984fad4a40> │ │ │ │ stream = True │ │ │ │ stream_cls = openai.Stream[openai.types.chat.chat_completion_chunk.ChatCompletionChunk] │ │ │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/openai/_base_client.py:967 in request │ │ │ │ 964 │ │ else: │ │ 965 │ │ │ retries_taken = 0 │ │ 966 │ │ │ �� ❱ 967 │ │ return self._request( │ │ 968 │ │ │ cast_to=cast_to, │ │ 969 │ │ │ options=options, │ │ 970 │ │ │ stream=stream, │ │ │ │ ╭───────────────────────────────────────────────────────────────────────── locals ─────────────────────────────────────────────────────────────────────────╮ │ │ │ options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ { │ │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ remaining_retries = None │ │ │ │ retries_taken = 0 │ │ │ │ self = <openai.OpenAI object at 0x7e984fad4a40> │ │ │ │ stream = True │ │ │ │ stream_cls = openai.Stream[openai.types.chat.chat_completion_chunk.ChatCompletionChunk] │ │ │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/openai/_base_client.py:1056 in _request │ │ │ │ 1053 │ │ │ │ │ 1054 │ │ │ if remaining_retries > 0 and self._should_retry(err.response): │ │ 1055 │ │ │ │ err.response.close() │ │ ❱ 1056 │ │ │ │ return self._retry_request( │ │ 1057 │ │ │ │ │ input_options, │ │ 1058 │ │ │ │ │ cast_to, │ │ 1059 │ │ │ │ │ retries_taken=retries_taken, │ │ │ │ ╭───────────────────────────────────────────────────────────────────────── locals ─────────────────────────────────────────────────────────────────────────╮ │ │ │ input_options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ { │ │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ kwargs = {} │ │ │ │ options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ { │ │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ remaining_retries = 2 │ │ │ │ request = <Request('POST', 'https://api.openai.com/v1/chat/completions')> │ │ │ │ response = <Response [429 Too Many Requests]> │ │ │ │ retries_taken = 0 │ │ │ │ self = <openai.OpenAI object at 0x7e984fad4a40> │ │ │ │ stream = True │ │ │ │ stream_cls = openai.Stream[openai.types.chat.chat_completion_chunk.ChatCompletionChunk] │ │ │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/openai/_base_client.py:1105 in _retry_request │ │ │ │ 1102 │ │ # different thread if necessary. │ │ 1103 │ │ time.sleep(timeout) │ │ 1104 │ │ │ │ ❱ 1105 │ │ return self._request( │ │ 1106 │ │ │ options=options, │ │ 1107 │ │ │ cast_to=cast_to, │ │ 1108 │ │ │ retries_taken=retries_taken + 1, │ │ │ │ ╭───────────────────────────────────────────────────────────────────────── locals ──────────────────────────────────────────────────────────────────────────╮ │ │ │ options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ {'role': 'system', 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283}, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ remaining_retries = 2 │ │ │ │ response_headers = Headers([('date', 'Thu, 01 May 2025 07:01:18 GMT'), ('content-type', 'application/json; charset=utf-8'), ('content-length', '337'), │ │ │ │ ('connection', 'keep-alive'), ('vary', 'Origin'), ('x-request-id', 'req_112ab6ab2bcd65ace1f9dd1fb2cb980f'), │ │ │ │ ('strict-transport-security', 'max-age=31536000; includeSubDomains; preload'), ('cf-cache-status', 'DYNAMIC'), ('set-cookie', │ │ │ │ '__cf_bm=P5HVrbVWFWdTPXCClKm3ypJuB_ZROedto8AaH1YUkr0-1746082878-1.0.1.1-sZ51HXcfFSp6ihmWK02_Z05FsJp8ld5SyaFCBTs74NmXjgF3MGKxCNR5OpML… │ │ │ │ path=/; expires=Thu, 01-May-25 07:31:18 GMT; domain=.api.openai.com; HttpOnly; Secure; SameSite=None'), ('x-content-type-options', │ │ │ │ 'nosniff'), ('set-cookie', '_cfuvid=F3GBFUkRJ7Iwtil2ApUfeqbwhM0FIJwby1SNxN7yook-1746082878619-0.0.1.1-604800000; path=/; │ │ │ │ domain=.api.openai.com; HttpOnly; Secure; SameSite=None'), ('server', 'cloudflare'), ('cf-ray', '938d68258d65fd65-SIN'), ('alt-svc', │ │ │ │ 'h3=":443"; ma=86400')]) │ │ │ │ retries_taken = 0 │ │ │ │ self = <openai.OpenAI object at 0x7e984fad4a40> │ │ │ │ stream = True │ │ │ │ stream_cls = openai.Stream[openai.types.chat.chat_completion_chunk.ChatCompletionChunk] │ │ │ │ timeout = 0.4278636895111654 │ │ │ ╰───────────────────────────────────────────────────────��───────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/openai/_base_client.py:1056 in _request │ │ │ │ 1053 │ │ │ │ │ 1054 │ │ │ if remaining_retries > 0 and self._should_retry(err.response): │ │ 1055 │ │ │ │ err.response.close() │ │ ❱ 1056 │ │ │ │ return self._retry_request( │ │ 1057 │ │ │ │ │ input_options, │ │ 1058 │ │ │ │ │ cast_to, │ │ 1059 │ │ │ │ │ retries_taken=retries_taken, │ │ │ │ ╭───────────────────────────────────────────────────────────────────────── locals ─────────────────────────────────────────────────────────────────────────╮ │ │ │ input_options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ { │ │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ kwargs = {} │ │ │ │ options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ { │ │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ remaining_retries = 1 │ │ │ │ request = <Request('POST', 'https://api.openai.com/v1/chat/completions')> │ │ │ │ response = <Response [429 Too Many Requests]> │ │ │ │ retries_taken = 1 │ │ │ │ self = <openai.OpenAI object at 0x7e984fad4a40> │ │ │ │ stream = True │ │ │ │ stream_cls = openai.Stream[openai.types.chat.chat_completion_chunk.ChatCompletionChunk] │ │ │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/openai/_base_client.py:1105 in _retry_request │ │ │ │ 1102 │ │ # different thread if necessary. │ │ 1103 │ │ time.sleep(timeout) │ │ 1104 │ │ │ │ ❱ 1105 │ │ return self._request( │ │ 1106 │ │ │ options=options, │ │ 1107 │ │ │ cast_to=cast_to, │ │ 1108 │ │ │ retries_taken=retries_taken + 1, │ │ │ │ ╭───────────────────────────────────────────────────────────────────────── locals ──────────────────────────────────────────────────────────────────────────╮ │ │ │ options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ {'role': 'system', 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283}, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ remaining_retries = 1 │ │ │ │ response_headers = Headers({'date': 'Thu, 01 May 2025 07:01:19 GMT', 'content-type': 'application/json; charset=utf-8', 'content-length': '337', │ │ │ │ 'connection': 'keep-alive', 'vary': 'Origin', 'x-request-id': 'req_8b0da61f3c74fb25d1408ce8cd16f88b', 'strict-transport-security': │ │ │ │ 'max-age=31536000; includeSubDomains; preload', 'cf-cache-status': 'DYNAMIC', 'x-content-type-options': 'nosniff', 'server': │ │ │ │ 'cloudflare', 'cf-ray': '938d682a2a7d4496-SIN', 'alt-svc': 'h3=":443"; ma=86400'}) │ │ │ │ retries_taken = 1 │ │ │ │ self = <openai.OpenAI object at 0x7e984fad4a40> │ │ │ │ stream = True │ │ │ │ stream_cls = openai.Stream[openai.types.chat.chat_completion_chunk.ChatCompletionChunk] │ │ │ │ timeout = 0.8201941528944534 │ │ │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/openai/_base_client.py:1071 in _request │ │ │ │ 1068 │ │ │ │ err.response.read() │ │ 1069 │ │ │ │ │ 1070 │ │ │ log.debug("Re-raising status error") │ │ ❱ 1071 │ │ │ raise self._make_status_error_from_response(err.response) from None │ │ 1072 │ │ │ │ 1073 │ │ return self._process_response( │ │ 1074 │ │ │ cast_to=cast_to, │ │ │ │ ╭───────────────────────────────────────────────────────────────────────── locals ─────────────────────────────────────────────────────────────────────────╮ │ │ │ input_options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ { │ │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ kwargs = {} │ │ │ │ options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ { │ │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ remaining_retries = 0 │ │ │ │ request = <Request('POST', 'https://api.openai.com/v1/chat/completions')> │ │ │ │ response = <Response [429 Too Many Requests]> │ │ │ │ retries_taken = 2 │ │ │ │ self = <openai.OpenAI object at 0x7e984fad4a40> │ │ │ │ stream = True │ │ │ │ stream_cls = openai.Stream[openai.types.chat.chat_completion_chunk.ChatCompletionChunk] │ │ │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ RateLimitError: Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors.', 'type': 'insufficient_quota', 'param': None, 'code': 'insufficient_quota'}} helloprinterok@cloudshell:~$ sk-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8Ask-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8Ask-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8Ask-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8Ask-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8Ask-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8A -bash: sk-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8Ask-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8Ask-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8Ask-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8Ask-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8Ask-proj-4QI9fSH4S9SaRABm9yG3Tlv8MMpvPh7i5MsxA0QueAwMj1CKo4S3WT-3zap4wtsW2am8X971AsT3BlbkFJ3UV_qZ2X8bSz2318MF8VPeL8jS-L2O3G_OS_pj3452fD-e_1T6qX1QywhBkLSoYAtGWJJQTw8A: command not found helloprinterok@cloudshell:~$ sgpt "What is the fibonacci sequence" ╭────────────────────────────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────────────────────────╮ │ /home/helloprinterok/.local/lib/python3.12/site-packages/sgpt/app.py:231 in main │ │ │ │ 228 │ │ │ functions=function_schemas, │ │ 229 │ │ ) │ │ 230 │ else: │ │ ❱ 231 │ │ full_completion = DefaultHandler(role_class, md).handle( │ │ 232 │ │ │ prompt=prompt, │ │ 233 │ │ │ model=model, │ │ 234 │ │ │ temperature=temperature, │ │ │ │ ╭─────────────────────────────── locals ────────────────────────────────╮ │ │ │ cache = True │ │ │ │ chat = None │ │ │ │ code = False │ │ │ │ create_role = None │ │ │ │ describe_shell = False │ │ │ │ editor = False │ │ │ │ function_schemas = None │ │ │ │ functions = True │ │ │ │ install_functions = None │ │ │ │ install_integration = None │ │ │ │ interaction = True │ │ │ │ list_chats = None │ │ │ │ list_roles = None │ │ │ │ md = True │ │ │ │ model = 'gpt-4o' │ │ │ │ prompt = 'What is the fibonacci sequence' │ │ │ │ repl = None │ │ │ │ role = None │ │ │ │ role_class = <sgpt.role.SystemRole object at 0x7ba831a4bfe0> │ │ │ │ shell = False │ │ │ │ show_chat = None │ │ │ │ show_role = None │ │ │ │ stdin_passed = False │ │ │ │ temperature = 0.0 │ │ │ │ top_p = 1.0 │ │ │ │ version = None │ │ │ ╰───────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/sgpt/handlers/handler.py:166 in handle │ │ │ │ 163 │ │ │ caching=caching, │ │ 164 │ │ │ **kwargs, │ │ 165 │ │ ) │ │ ❱ 166 │ │ return self.printer(generator, not disable_stream) │ │ 167 │ │ │ │ ╭─────────────────────────────────────────────────────────────────── locals ────────────────────────────────────────────────────────────────────╮ │ │ │ caching = True │ │ │ │ disable_stream = False │ │ │ │ functions = None │ │ │ │ generator = <generator object Cache.__call__.<locals>.wrapper at 0x7ba8319eec20> │ │ │ │ kwargs = {} │ │ │ │ messages = [ │ │ │ │ │ { │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ }, │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ ] │ │ │ │ model = 'gpt-4o' │ │ │ │ prompt = 'What is the fibonacci sequence' │ │ │ │ self = <sgpt.handlers.default_handler.DefaultHandler object at 0x7ba831a0f2c0> │ │ │ │ temperature = 0.0 │ │ │ │ top_p = 1.0 │ │ │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/sgpt/printer.py:23 in __call__ │ │ │ │ 20 │ │ │ 21 │ def __call__(self, chunks: Generator[str, None, None], live: bool = True) -> str: │ │ 22 │ │ if live: │ │ ❱ 23 │ │ │ return self.live_print(chunks) │ │ 24 │ │ with self.console.status("[bold green]Loading..."): │ │ 25 │ │ │ full_completion = "".join(chunks) │ │ 26 │ │ self.static_print(full_completion) │ │ │ │ ╭─────────────────────────────────── locals ────────────────────────────────────╮ │ │ │ chunks = <generator object Cache.__call__.<locals>.wrapper at 0x7ba8319eec20> │ │ │ │ live = True │ │ │ │ self = <sgpt.printer.MarkdownPrinter object at 0x7ba831c87da0> │ │ │ ╰───────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/sgpt/printer.py:38 in live_print │ │ │ │ 35 │ def live_print(self, chunks: Generator[str, None, None]) -> str: │ │ 36 │ │ full_completion = "" │ │ 37 │ │ with Live(console=self.console) as live: │ │ ❱ 38 │ │ │ for chunk in chunks: │ │ 39 │ │ │ │ full_completion += chunk │ │ 40 │ │ │ │ markdown = Markdown(markup=full_completion, code_theme=self.theme) │ │ 41 │ │ │ │ live.update(markdown, refresh=True) │ │ │ │ ╭──────────────────────────────────────── locals ────────────────────────────────────────╮ │ │ │ chunks = <generator object Cache.__call__.<locals>.wrapper at 0x7ba8319eec20> │ │ │ │ full_completion = '' │ │ │ │ live = <rich.live.Live object at 0x7ba831a4ac00> │ │ │ │ self = <sgpt.printer.MarkdownPrinter object at 0x7ba831c87da0> │ │ │ ╰────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/sgpt/cache.py:37 in wrapper │ │ │ │ 34 │ │ │ │ yield file.read_text() │ │ 35 │ │ │ │ return │ │ 36 │ │ │ result = "" │ │ ❱ 37 │ │ │ for i in func(*args, **kwargs): │ │ 38 │ │ │ │ result += i │ │ 39 │ │ │ │ yield i │ │ 40 │ │ │ if "@FunctionCall" not in result: │ │ │ │ ╭───────────────────────────────────────────────────────────────── locals ──────────────────────────────────────────────────────────────────╮ │ │ │ args = (<sgpt.handlers.default_handler.DefaultHandler object at 0x7ba831a0f2c0>,) │ │ │ │ file = PosixPath('/tmp/cache/dfa3f463c1d6b7047ad208b44f337270') │ │ │ │ key = 'dfa3f463c1d6b7047ad208b44f337270' │ │ │ │ kwargs = { │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ 'top_p': 1.0, │ │ │ │ │ 'messages': [ │ │ │ │ │ │ { │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ }, │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ ], │ │ │ │ │ 'functions': None │ │ │ │ } │ │ │ │ result = '' │ │ │ │ self = <sgpt.cache.Cache object at 0x7ba831a49d60> │ │ │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/sgpt/handlers/handler.py:106 in get_completion │ │ │ │ 103 │ │ │ additional_kwargs["tools"] = functions │ │ 104 │ │ │ additional_kwargs["parallel_tool_calls"] = False │ │ 105 │ │ │ │ ❱ 106 │ │ response = completion( │ │ 107 │ │ │ model=model, │ │ 108 │ │ │ temperature=temperature, │ │ 109 │ │ │ top_p=top_p, │ │ │ │ ╭───────────────────────────────────────────────────────────────────── locals ─────────────────────────────────────────────────────────────────────╮ │ │ │ arguments = '' │ │ │ │ functions = None │ │ │ │ is_code_role = False │ │ │ │ is_dsc_shell_role = False │ │ │ │ is_shell_role = False │ │ │ │ messages = [ │ │ │ │ │ { │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ }, │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ ] │ │ │ │ model = 'gpt-4o' │ │ │ │ name = '' │ │ │ │ self = <sgpt.handlers.default_handler.DefaultHandler object at 0x7ba831a0f2c0> │ │ │ │ temperature = 0.0 │ │ │ │ top_p = 1.0 │ │ │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/openai/_utils/_utils.py:279 in wrapper │ │ │ │ 276 │ │ │ │ │ else: │ │ 277 │ │ │ │ │ │ msg = f"Missing required argument: {quote(missing[0])}" │ │ 278 │ │ │ │ raise TypeError(msg) │ │ ❱ 279 │ │ │ return func(*args, **kwargs) │ │ 280 │ │ │ │ 281 │ │ return wrapper # type: ignore │ │ 282 │ │ │ │ ╭──────────────────────────────────────────────────────────────────── locals ─────────────────────────────────────────────────────────────────────╮ │ │ │ _ = <openai.resources.chat.completions.completions.Completions object at 0x7ba8336f4f20> │ │ │ │ args = (<openai.resources.chat.completions.completions.Completions object at 0x7ba8336f4f20>,) │ │ │ │ given_params = {'top_p', 'temperature', 'model', 'self', 'stream', 'messages'} │ │ │ │ i = 0 │ │ │ │ key = 'stream' │ │ │ │ kwargs = { │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ 'top_p': 1.0, │ │ │ │ │ 'messages': [ │ │ │ │ │ │ { │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ }, │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ ], │ │ │ │ │ 'stream': True │ │ │ │ } │ │ │ │ matches = True │ │ │ │ positional = ['self'] │ │ │ │ variant = ['messages', 'model'] │ │ │ │ variants = (['messages', 'model'], ['messages', 'model', 'stream']) │ │ │ ╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py:879 in create │ │ │ │ 876 │ │ timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN, │ │ 877 │ ) -> ChatCompletion | Stream[ChatCompletionChunk]: │ │ 878 │ │ validate_response_format(response_format) │ │ ❱ 879 │ │ return self._post( │ │ 880 │ │ │ "/chat/completions", │ │ 881 │ │ │ body=maybe_transform( │ │ 882 │ │ │ │ { │ │ │ │ ╭─────────────────────────────────────────────────────────────────────── locals ───────────────────────────────────────────────────────────────────────╮ │ │ │ audio = NOT_GIVEN │ │ │ │ extra_body = None │ │ │ │ extra_headers = None │ │ │ │ extra_query = None │ │ │ │ frequency_penalty = NOT_GIVEN │ │ │ │ function_call = NOT_GIVEN │ │ │ │ functions = NOT_GIVEN │ │ │ │ logit_bias = NOT_GIVEN │ │ │ │ logprobs = NOT_GIVEN │ │ │ │ max_completion_tokens = NOT_GIVEN │ │ │ │ max_tokens = NOT_GIVEN │ │ │ │ messages = [ │ │ │ │ │ { │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ }, │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ ] │ │ │ │ metadata = NOT_GIVEN │ │ │ │ modalities = NOT_GIVEN │ │ │ │ model = 'gpt-4o' │ │ │ │ n = NOT_GIVEN │ │ │ │ parallel_tool_calls = NOT_GIVEN │ │ │ │ prediction = NOT_GIVEN │ │ │ │ presence_penalty = NOT_GIVEN │ │ │ │ reasoning_effort = NOT_GIVEN │ │ │ │ response_format = NOT_GIVEN │ │ │ │ seed = NOT_GIVEN │ │ │ │ self = <openai.resources.chat.completions.completions.Completions object at 0x7ba8336f4f20> │ │ │ │ service_tier = NOT_GIVEN │ │ │ │ stop = NOT_GIVEN │ │ │ │ store = NOT_GIVEN │ │ │ │ stream = True │ │ │ │ stream_options = NOT_GIVEN │ │ │ │ temperature = 0.0 │ │ │ │ timeout = NOT_GIVEN │ │ │ │ tool_choice = NOT_GIVEN │ │ │ │ tools = NOT_GIVEN │ │ │ │ top_logprobs = NOT_GIVEN │ │ │ │ top_p = 1.0 │ │ │ │ user = NOT_GIVEN │ │ │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/openai/_base_client.py:1290 in post │ │ │ │ 1287 │ │ opts = FinalRequestOptions.construct( │ │ 1288 │ │ │ method="post", url=path, json_data=body, files=to_httpx_files(files), **opti │ │ 1289 │ │ ) │ │ ❱ 1290 │ │ return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=str │ │ 1291 │ │ │ 1292 │ def patch( │ │ 1293 │ │ self, │ │ │ │ ╭───────────────────────────────────────────────────────────────────── locals ──────────────────────────────────────────────────────────────────────╮ │ │ │ body = { │ │ │ │ │ 'messages': [ │ │ │ │ │ │ {'role': 'system', 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283}, │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ ], │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ 'audio': NOT_GIVEN, │ │ │ │ │ 'frequency_penalty': NOT_GIVEN, │ │ │ │ │ 'function_call': NOT_GIVEN, │ │ │ │ │ 'functions': NOT_GIVEN, │ │ │ │ │ 'logit_bias': NOT_GIVEN, │ │ │ │ │ 'logprobs': NOT_GIVEN, │ │ │ │ │ 'max_completion_tokens': NOT_GIVEN, │ │ │ │ │ 'max_tokens': NOT_GIVEN, │ │ │ │ │ ... +20 │ │ │ │ } │ │ │ │ files = None │ │ │ │ options = {} │ │ │ │ opts = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ { │ │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ path = '/chat/completions' │ │ │ │ self = <openai.OpenAI object at 0x7ba83371fd10> │ │ │ │ stream = True │ │ │ │ stream_cls = openai.Stream[openai.types.chat.chat_completion_chunk.ChatCompletionChunk] │ │ │ ╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/openai/_base_client.py:967 in request │ │ │ │ 964 │ │ else: │ │ 965 │ │ │ retries_taken = 0 │ │ 966 │ │ │ │ ❱ 967 │ │ return self._request( │ │ 968 │ │ │ cast_to=cast_to, │ │ 969 │ │ │ options=options, │ │ 970 │ │ │ stream=stream, │ │ │ │ ╭───────────────────────────────────────────────────────────────────────── locals ─────────────────────────────────────────────────────────────────────────╮ │ │ │ options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ { │ │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ remaining_retries = None │ │ │ │ retries_taken = 0 │ │ │ │ self = <openai.OpenAI object at 0x7ba83371fd10> │ │ │ │ stream = True │ │ │ │ stream_cls = openai.Stream[openai.types.chat.chat_completion_chunk.ChatCompletionChunk] │ │ │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯ │ │ │ │ /home/helloprinterok/.local/lib/python3.12/site-packages/openai/_base_client.py:1056 in _request │ │ │ │ 1053 │ │ │ │ │ 1054 │ │ │ if remaining_retries > 0 and self._should_retry(err.response): │ │ 1055 │ │ │ │ err.response.close() │ │ ❱ 1056 │ │ │ │ return self._retry_request( │ │ 1057 │ │ │ │ │ input_options, │ │ 1058 │ │ │ │ │ cast_to, │ │ 1059 │ │ │ │ │ retries_taken=retries_taken, │ │ │ │ ╭───────────────────────────────────────────────────────────────────────── locals ─────────────────────────────────────────────────────────────────────────╮ │ │ │ input_options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ { │ │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │ ], │ │ │ │ │ │ 'model': 'gpt-4o', │ │ │ │ │ │ 'stream': True, │ │ │ │ │ │ 'temperature': 0.0, │ │ │ │ │ │ 'top_p': 1.0 │ │ │ │ │ }, │ │ │ │ │ extra_json=None │ │ │ │ ) │ │ │ │ kwargs = {} │ │ │ │ options = FinalRequestOptions( │ │ │ │ │ method='post', │ │ │ │ │ url='/chat/completions', │ │ │ │ │ params={}, │ │ │ │ │ headers=NOT_GIVEN, │ │ │ │ │ max_retries=NOT_GIVEN, │ │ │ │ │ timeout=NOT_GIVEN, │ │ │ │ │ files=None, │ │ │ │ │ idempotency_key=None, │ │ │ │ │ post_parser=NOT_GIVEN, │ │ │ │ │ json_data={ │ │ │ │ │ │ 'messages': [ │ │ │ │ │ │ │ { │ │ │ │ │ │ │ │ 'role': 'system', │ │ │ │ │ │ │ │ 'content': 'You are ShellGPT\nYou are programming and system administration assistant.\nYou ar'+283 │ │ │ │ │ │ │ }, │ │ │ │ │ │ │ {'role': 'user', 'content': 'What is the fibonacci sequence'} │ │ │ │ │ │

I'll create a clean, functional chat interface that simulates conversations with a programming assistant. Here's the implementation:

This chat interface includes:

  1. Message Display:

    • Shows conversation history with distinct styling for user (blue) and assistant (gray) messages
    • Automatically scrolls to the newest message
    • Includes a welcome message from the assistant
  2. Input Area:

    • Text input field with send button
    • Supports sending messages by pressing Enter
    • Disables input while waiting for response
  3. Loading State:

    • Shows animated dots while the assistant is "thinking"
    • Prevents sending new messages while waiting
  4. Response Logic:

    • Simulates different responses based on keywords in the user's message
    • Includes responses for React, errors, and system administration topics

The component is fully self-contained with no external dependencies beyond the specified libraries. The design is responsive and works well on both mobile and desktop screens.

i want to make a platefrom that use github pages and the interference of chatgpt so the mutiusers use one api key for use

GitHub Pages + ChatGPT Multi-User Platform

I'll create a solution that allows multiple users to share a single ChatGPT API key through a GitHub Pages-hosted application. Here's how we'll approach this:

Key Components

  1. Frontend: React app hosted on GitHub Pages
  2. Backend Proxy: Simple server to manage API key sharing (we'll use a free cloud function)
  3. Rate Limiting: To prevent abuse of the shared API key
  4. Message Queue: To handle concurrent requests

Here's the implementation:

Backend Implementation (Cloud Function)

You'll need to set up a simple backend proxy to protect your API key. Here's a Node.js example for a cloud function (e.g., Vercel, Netlify, or Firebase):

// This would be in your backend (not exposed to GitHub Pages)
import axios from 'axios';

export default async function handler(req, res) {
  // Basic rate limiting by IP
  const ip = req.headers['x-forwarded-for'] || req.connection.remoteAddress;
  const rateLimitKey = `rate-limit:${ip}`;
  
  // Check rate limit (you'd implement this with Redis or similar)
  const currentCount = await getRateLimitCount(rateLimitKey);
  if (currentCount > 10) { // 10 requests per minute
    return res.status(429).json({ error: 'Too many requests' });
  }

  // Increment rate limit counter
  await incrementRateLimit(rateLimitKey);

  try {
    const response = await axios.post(
      'https://api.openai.com/v1/chat/completions',
      {
        model: "gpt-3.5-turbo",
        messages: [
          {
            role: "system",
            content: "You are a helpful programming assistant. Keep responses concise."
          },
          {
            role: "user",
            content: req.body.message
          }
        ],
        max_tokens: 150
      },
      {
        headers: {
          'Content-Type': 'application/json',
          'Authorization': `Bearer ${process.env.OPENAI_API_KEY}`
        }
      }
    );

    res.status(200).json({ 
      reply: response.data.choices[0].message.content 
    });
  } catch (error) {
    console.error('Error calling OpenAI:', error);
    res.status(500).json({ error: 'Error processing your request' });
  }
}

// Mock rate limit functions - implement these properly in production
async function getRateLimitCount(key) {
  return 0; // Implement with your storage solution
}

async function incrementRateLimit(key) {
  // Implement with your storage solution
}

Deployment Instructions

  1. Frontend Deployment to GitHub Pages:

    • Create a React app with the frontend code
    • Set homepage in package.json to your GitHub Pages URL
    • Run npm run deploy (with gh-pages installed)
  2. Backend Deployment:

    • Deploy the proxy function to a cloud provider
    • Set your OpenAI API key as an environment variable
    • Update the BACKEND_PROXY_URL in the frontend code
  3. Security Considerations:

    • Implement proper rate limiting
    • Consider adding user authentication if needed
    • Monitor your API usage to prevent abuse

Alternative Approach

If you don't want to maintain a backend, you could use:

  1. GitHub Pages + Browser Extension:

    • Users install a browser extension that injects their own API key
    • The frontend checks for the extension's presence
  2. GitHub Pages + Local Proxy:

    • Users run a local proxy server with their API key
    • The frontend connects to localhost for API calls

Would you like me to elaborate on any of these approaches or provide more specific implementation details for any part?

make files for it like index.html and css and js rtc give a proper code

Here's a complete implementation with all necessary files for a GitHub Pages-hosted ChatGPT platform that uses a shared API key through a backend proxy:

File Structure

1. public/index.html

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8" />
  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
  <title>Shared ChatGPT Platform</title>
  <link rel="stylesheet" href="/styles.css" />
</head>
<body>
  <div id="root"></div>
  <script type="module" src="/src/main.tsx"></script>
</body>
</html>

2. public/styles.css

/* Base styles */
body {
  margin: 0;
  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif;
  background-color: #f5f5f5;
}

/* GitHub Pages specific adjustments */
#root {
  max-width: 1200px;
  margin: 0 auto;
  padding: 2rem;
}

/* Loading animation */
@keyframes bounce {
  0%, 100% {
    transform: translateY(0);
  }
  50% {
    transform: translateY(-5px);
  }
}

.bounce-dot {
  animation: bounce 0.6s infinite alternate;
}

.bounce-dot:nth-child(2) {
  animation-delay: 0.2s;
}

.bounce-dot:nth-child(3) {
  animation-delay: 0.4s;
}

3. src/main.tsx

import React from 'react'
import ReactDOM from 'react-dom/client'
import App from './App'
import './index.css'

ReactDOM.createRoot(document.getElementById('root')!).render(
  <React.StrictMode>
    <App />
  </React.StrictMode>
)

4. src/App.tsx

import SharedChat from './shared-chat'

function App() {
  return (
    <div className="app-container">
      <header className="app-header">
        <h1>Shared ChatGPT Platform</h1>
        <p className="subtitle">Multi-user access with a single API key</p>
      </header>
      <main>
        <SharedChat />
      </main>
      <footer className="app-footer">
        <p>Hosted on GitHub Pages | API requests proxied through backend</p>
      </footer>
    </div>
  )
}

export default App

5. src/shared-chat.tsx (Main Component)

import { useState, useRef, useEffect } from 'react'
import { Button } from "/components/ui/button"
import { Input } from "/components/ui/input"
import { Card, CardHeader, CardTitle, CardContent, CardFooter } from "/components/ui/card"
import { Send, User, Bot } from "lucide-react"

type Message = {
  id: string
  content: string
  role: 'user' | 'assistant'
  timestamp: Date
  userId?: string
}

// Replace with your actual proxy URL (this should be in your environment variables)
const BACKEND_PROXY_URL = import.meta.env.VITE_PROXY_URL || 'https://your-proxy-service.vercel.app/api/chat'

export default function SharedChat() {
  const [messages, setMessages] = useState<Message[]>([])
  const [inputValue, setInputValue] = useState('')
  const [isLoading, setIsLoading] = useState(false)
  const [userId] = useState(() => `user-${Math.random().toString(36).substr(2, 9)}`)
  const [error, setError] = useState<string | null>(null)
  const messagesEndRef = useRef<HTMLDivElement>(null)

  useEffect(() => {
    setMessages([{
      id: '1',
      content: 'Welcome to our shared ChatGPT platform! Ask me anything about programming or technology.',
      role: 'assistant',
      timestamp: new Date()
    }])
  }, [])

  const handleSendMessage = async () => {
    if (!inputValue.trim()) return

    const newUserMessage: Message = {
      id: Date.now().toString(),
      content: inputValue,
      role: 'user',
      timestamp: new Date(),
      userId
    }

    setMessages(prev => [...prev, newUserMessage])
    setInputValue('')
    setIsLoading(true)
    setError(null)

    try {
      const response = await fetch(BACKEND_PROXY_URL, {
        method: 'POST',
        headers: {
          'Content-Type': 'application/json',
        },
        body: JSON.stringify({
          message: inputValue,
          userId,
          conversationId: 'shared-conversation'
        })
      })

      if (!response.ok) {
        throw new Error(await response.text() || 'Failed to get response')
      }

      const data = await response.json()
      
      const assistantResponse: Message = {
        id: (Date.now() + 1).toString(),
        content: data.reply,
        role: 'assistant',
        timestamp: new Date()
      }
      setMessages(prev => [...prev, assistantResponse])
    } catch (err) {
      console.error('API Error:', err)
      setError('Sorry, there was an error processing your request. Please try again.')
      const errorMessage: Message = {
        id: (Date.now() + 1).toString(),
        content: 'Sorry, I encountered an error. Please try again later.',
        role: 'assistant',
        timestamp: new Date()
      }
      setMessages(prev => [...prev, errorMessage])
    } finally {
      setIsLoading(false)
    }
  }

  const handleKeyDown = (e: React.KeyboardEvent) => {
    if (e.key === 'Enter' && !e.shiftKey) {
      e.preventDefault()
      handleSendMessage()
    }
  }

  useEffect(() => {
    messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' })
  }, [messages])

  return (
    <Card className="w-full max-w-3xl mx-auto h-[600px] flex flex-col">
      <CardHeader className="border-b">
        <CardTitle className="text-xl flex items-center gap-2">
          <Bot className="h-5 w-5" />
          Shared ChatGPT Platform
          <span className="text-sm font-normal ml-auto">User: {userId.slice(0, 8)}</span>
        </CardTitle>
      </CardHeader>
      
      <CardContent className="flex-1 overflow-y-auto p-4 space-y-4">
        {messages.map((message) => (
          <div
            key={message.id}
            className={`flex ${message.role === 'user' ? 'justify-end' : 'justify-start'}`}
          >
            <div
              className={`max-w-[80%] rounded-lg px-4 py-2 flex items-start gap-2 ${
                message.role === 'user'
                  ? 'bg-blue-500 text-white'
                  : 'bg-gray-100 text-gray-800'
              }`}
            >
              {message.role === 'user' ? (
                <User className="h-4 w-4 mt-1 flex-shrink-0" />
              ) : (
                <Bot className="h-4 w-4 mt-1 flex-shrink-0" />
              )}
              <div>{message.content}</div>
            </div>
          </div>
        ))}
        {isLoading && (
          <div className="flex justify-start">
            <div className="bg-gray-100 text-gray-800 rounded-lg px-4 py-2 max-w-[80%] flex items-center gap-2">
              <Bot className="h-4 w-4 flex-shrink-0" />
              <div className="flex space-x-2">
                <div className="bounce-dot w-2 h-2 rounded-full bg-gray-400"></div>
                <div className="bounce-dot w-2 h-2 rounded-full bg-gray-400"></div>
                <div className="bounce-dot w-2 h-2 rounded-full bg-gray-400"></div>
              </div>
            </div>
          </div>
        )}
        {error && (
          <div className="text-red-500 text-sm text-center p-2">
            {error}
          </div>
        )}
        <div ref={messagesEndRef} />
      </CardContent>

      <CardFooter className="border-t p-4">
        <div className="flex w-full items-center space-x-2">
          <Input
            value={inputValue}
            onChange={(e) => setInputValue(e.target.value)}
            onKeyDown={handleKeyDown}
            placeholder="Type your message..."
            disabled={isLoading}
          />
          <Button
            onClick={handleSendMessage}
            disabled={!inputValue.trim() || isLoading}
            size="icon"
          >
            <Send className="h-4 w-4" />
          </Button>
        </div>
      </CardFooter>
    </Card>
  )
}

6. Configuration Files

package.json

{
  "name": "shared-chatgpt-platform",
  "private": true,
  "version": "0.0.1",
  "type": "module",
  "scripts": {
    "dev": "vite",
    "build": "tsc && vite build",
    "preview": "vite preview",
    "deploy": "npm run build && gh-pages -d dist"
  },
  "dependencies": {
    "react": "^18.2.0",
    "react-dom": "^18.2.0",
    "lucide-react": "^0.294.0",
    "date-fns": "^2.30.0"
  },
  "devDependencies": {
    "@types/react": "^18.2.45",
    "@types/react-dom": "^18.2.18",
    "@vitejs/plugin-react": "^4.2.1",
    "gh-pages": "^6.0.0",
    "typescript": "^5.2.2",
    "vite": "^5.0.8"
  },
  "homepage": "https://yourusername.github.io/your-repo-name"
}

tsconfig.json

{
  "compilerOptions": {
    "target": "ES2020",
    "useDefineForClassFields": true,
    "lib": ["ES2020", "DOM", "DOM.Iterable"],
    "module": "ESNext",
    "skipLibCheck": true,
    "moduleResolution": "bundler",
    "allowImportingTsExtensions": true,
    "resolveJsonModule": true,
    "isolatedModules": true,
    "noEmit": true,
    "jsx": "react-jsx",
    "strict": true,
    "noUnusedLocals": true,
    "noUnusedParameters": true,
    "noFallthroughCasesInSwitch": true
  },
  "include": ["src"],
  "references": [{ "path": "./tsconfig.node.json" }]
}

vite.config.ts

import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'

export default defineConfig({
  plugins: [react()],
  define: {
    'import.meta.env.VITE_PROXY_URL': JSON.stringify(process.env.VITE_PROXY_URL)
  }
})

7. README.md

# Shared ChatGPT Platform

A GitHub Pages-hosted application that allows multiple users to share a single ChatGPT API key through a backend proxy.

## Features

- Multi-user chat interface
- Shared API key through backend proxy
- Rate limiting to prevent abuse
- Responsive design for all devices

## Setup

1. Clone this repository
2. Install dependencies: `npm install`
3. Create a `.env` file with your proxy URL:

VITE_PROXY_URL=https://your-proxy-service.vercel.app/api/chat

4. Run locally: `npm run dev`
5. Deploy to GitHub Pages: `npm run deploy`

## Backend Requirements

You'll need to set up a proxy server that:
- Hides your OpenAI API key
- Implements rate limiting
- Processes requests from the frontend

See the `backend-proxy` directory for an example implementation.

Deployment Instructions

  1. Set up your backend proxy (Vercel, Netlify, or Firebase)
  2. Update the VITE_PROXY_URL in your .env file
  3. Run npm run deploy to deploy to GitHub Pages
  4. Configure GitHub Pages in your repo settings to use the gh-pages branch

This implementation provides a complete solution with:

  • Proper TypeScript typing
  • Responsive design
  • Error handling
  • Loading states
  • User identification
  • All necessary configuration files
  • Deployment instructions

The backend proxy protects your API key while allowing multiple users to access the ChatGPT functionality through your GitHub Pages site.

L0V3Y0UT00.github.io

It looks like you're trying to set up a GitHub Pages site at L0V3Y0UT00.github.io. Let me help you create a complete solution for your shared ChatGPT platform that will work with GitHub Pages.

Complete GitHub Pages Setup

1. First, create a new repository named exactly: L0V3Y0UT00.github.io

2. Here's the minimal setup that will work with GitHub Pages:

index.html

app.js

// Configuration - Update this with your proxy URL
const PROXY_URL = 'https://your-proxy-service.vercel.app/api/chat';

class SharedChat {
  constructor() {
    this.messages = [];
    this.userId = `user-${Math.random().toString(36).substr(2, 9)}`;
    this.initChat();
    this.addWelcomeMessage();
  }

  initChat() {
    this.chatContainer = document.createElement('div');
    this.chatContainer.className = 'flex flex-col h-[500px]';
    
    this.messagesContainer = document.createElement('div');
    this.messagesContainer.className = 'flex-1 overflow-y-auto p-4 space-y-4';
    this.chatContainer.appendChild(this.messagesContainer);
    
    this.inputContainer = document.createElement('div');
    this.inputContainer.className = 'border-t p-4 bg-gray-50';
    
    this.input = document.createElement('input');
    this.input.type = 'text';
    this.input.placeholder = 'Type your message...';
    this.input.className = 'w-full px-4 py-2 border rounded-lg focus:outline-none focus:ring-2 focus:ring-blue-500';
    
    this.button = document.createElement('button');
    this.button.className = 'ml-2 px-4 py-2 bg-blue-500 text-white rounded-lg hover:bg-blue-600 focus:outline-none focus:ring-2 focus:ring-blue-500';
    this.button.innerHTML = '<i data-lucide="send"></i>';
    
    const inputGroup = document.createElement('div');
    inputGroup.className = 'flex';
    inputGroup.appendChild(this.input);
    inputGroup.appendChild(this.button);
    
    this.inputContainer.appendChild(inputGroup);
    this.chatContainer.appendChild(this.inputContainer);
    
    document.getElementById('chat-app').appendChild(this.chatContainer);
    
    // Event listeners
    this.button.addEventListener('click', () => this.sendMessage());
    this.input.addEventListener('keydown', (e) => {
      if (e.key === 'Enter') this.sendMessage();
    });
  }

  addWelcomeMessage() {
    this.addMessage({
      id: '1',
      content: 'Welcome to our shared ChatGPT platform! Ask me anything about programming or technology.',
      role: 'assistant'
    });
  }

  async sendMessage() {
    const content = this.input.value.trim();
    if (!content) return;
    
    // Add user message
    this.addMessage({
      id: Date.now().toString(),
      content,
      role: 'user'
    });
    
    this.input.value = '';
    this.showLoading();
    
    try {
      const response = await fetch(PROXY_URL, {
        method: 'POST',
        headers: {
          'Content-Type': 'application/json',
        },
        body: JSON.stringify({
          message: content,
          userId: this.userId,
          conversationId: 'shared-conversation'
        })
      });
      
      if (!response.ok) throw new Error('Failed to get response');
      
      const data = await response.json();
      this.addMessage({
        id: (Date.now() + 1).toString(),
        content: data.reply,
        role: 'assistant'
      });
    } catch (error) {
      this.addMessage({
        id: (Date.now() + 1).toString(),
        content: 'Sorry, I encountered an error. Please try again later.',
        role: 'assistant'
      });
    } finally {
      this.hideLoading();
    }
  }

  addMessage(message) {
    this.messages.push(message);
    this.renderMessages();
    this.scrollToBottom();
  }

  renderMessages() {
    this.messagesContainer.innerHTML = '';
    
    this.messages.forEach(msg => {
      const messageDiv = document.createElement('div');
      messageDiv.className = `flex ${msg.role === 'user' ? 'justify-end' : 'justify-start'}`;
      
      const contentDiv = document.createElement('div');
      contentDiv.className = `max-w-[80%] rounded-lg px-4 py-2 flex items-start gap-2 message-${msg.role}`;
      
      const icon = document.createElement('i');
      icon.setAttribute('data-lucide', msg.role === 'user' ? 'user' : 'bot');
      
      contentDiv.appendChild(icon);
      contentDiv.appendChild(document.createTextNode(msg.content));
      messageDiv.appendChild(contentDiv);
      this.messagesContainer.appendChild(messageDiv);
    });
    
    lucide.createIcons();
  }

  showLoading() {
    const loadingDiv = document.createElement('div');
    loadingDiv.className = 'flex justify-start';
    loadingDiv.id = 'loading-indicator';
    
    const contentDiv = document.createElement('div');
    contentDiv.className = 'bg-gray-100 text-gray-800 rounded-lg px-4 py-2 max-w-[80%] flex items-center gap-2';
    
    const icon = document.createElement('i');
    icon.setAttribute('data-lucide', 'bot');
    
    const dots = document.createElement('div');
    dots.className = 'flex space-x-2';
    dots.innerHTML = `
      <div class="bounce-dot w-2 h-2 rounded-full bg-gray-400"></div>
      <div class="bounce-dot w-2 h-2 rounded-full bg-gray-400" style="animation-delay:0.2s"></div>
      <div class="bounce-dot w-2 h-2 rounded-full bg-gray-400" style="animation-delay:0.4s"></div>
    `;
    
    contentDiv.appendChild(icon);
    contentDiv.appendChild(dots);
    loadingDiv.appendChild(contentDiv);
    this.messagesContainer.appendChild(loadingDiv);
    this.scrollToBottom();
    
    lucide.createIcons();
  }

  hideLoading() {
    const loading = document.getElementById('loading-indicator');
    if (loading) loading.remove();
  }

  scrollToBottom() {
    this.messagesContainer.scrollTop = this.messagesContainer.scrollHeight;
  }
}

// Initialize the chat when the page loads
document.addEventListener('DOMContentLoaded', () => {
  new SharedChat();
});

3. Deployment Steps

  1. Create your repository:

    git init
    git add .
    git commit -m "Initial commit"
    git branch -M main
    git remote add origin https://github.com/L0V3Y0UT00/L0V3Y0UT00.github.io.git
    git push -u origin main
    
  2. Enable GitHub Pages:

    • Go to your repository settings
    • Under "Pages", select the "main" branch as the source
    • Click "Save"
  3. Set up your backend proxy:

    • Create a Vercel/Netlify/Firebase function with the proxy code I provided earlier
    • Update the PROXY_URL in app.js with your proxy URL

4. Minimal Backend Proxy Example (for Vercel)

Create api/chat.js in your backend project:

const { default: axios } = require('axios');

module.exports = async (req, res) => {
  // Basic rate limiting
  const ip = req.headers['x-forwarded-for'] || req.connection.remoteAddress;
  const rateLimitKey = `rate-limit:${ip}`;
  
  // In a real app, you'd implement proper rate limiting with Redis
  // For now we'll just allow all requests
  
  try {
    const response = await axios.post(
      'https://api.openai.com/v1/chat/completions',
      {
        model: "gpt-3.5-turbo",
        messages: [
          {
            role: "system",
            content: "You are a helpful programming assistant. Keep responses concise."
          },
          {
            role: "user",
            content: req.body.message
          }
        ],
        max_tokens: 150
      },
      {
        headers: {
          'Content-Type': 'application/json',
          'Authorization': `Bearer ${process.env.OPENAI_API_KEY}`
        }
      }
    );

    res.status(200).json({ 
      reply: response.data.choices[0].message.content 
    });
  } catch (error) {
    console.error('Error calling OpenAI:', error);
    res.status(500).json({ error: 'Error processing your request' });
  }
};

Important Notes:

  1. Security: The backend proxy is essential to protect your API key. Never put it in your frontend code.

  2. Rate Limiting: Implement proper rate limiting in your backend to prevent abuse.

  3. Customization: You can customize the styling by modifying the CSS in the index.html file.

  4. Domain: Your site will be live at https://L0V3Y0UT00.github.io after deployment.

  5. Updates: Any changes pushed to the main branch will automatically update your GitHub Pages site.

This implementation provides a complete, working solution that:

  • Works with GitHub Pages
  • Protects your API key
  • Supports multiple users
  • Has a clean, responsive UI
  • Includes loading states and error handling
give all code of each file

Here's the complete code for each file in your GitHub Pages ChatGPT platform:

File Structure

1. index.html

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Shared ChatGPT Platform</title>
  <link rel="stylesheet" href="styles.css">
  <link href="https://cdn.jsdelivr.net/npm/tailwindcss@2.2.19/dist/tailwind.min.css" rel="stylesheet">
  <script src="https://unpkg.com/lucide@latest"></script>
</head>
<body class="bg-gray-100 min-h-screen">
  <div class="container mx-auto px-4 py-8 max-w-3xl">
    <header class="mb-8 text-center">
      <h1 class="text-3xl font-bold text-gray-800">Shared ChatGPT Platform</h1>
      <p class="text-gray-600">Multi-user access with a single API key</p>
    </header>
    
    <div id="chat-app" class="bg-white rounded-lg shadow-lg overflow-hidden">
      <!-- Chat app will be rendered here -->
    </div>
    
    <footer class="mt-8 text-center text-sm text-gray-500">
      <p>Hosted on GitHub Pages | API requests proxied through backend</p>
    </footer>
  </div>

  <script src="app.js"></script>
  <script>lucide.createIcons();</script>
</body>
</html>

2. app.js

// Configuration - Update this with your proxy URL
const PROXY_URL = 'https://your-proxy-service.vercel.app/api/chat';

class SharedChat {
  constructor() {
    this.messages = [];
    this.userId = `user-${Math.random().toString(36).substr(2, 9)}`;
    this.initChat();
    this.addWelcomeMessage();
  }

  initChat() {
    this.chatContainer = document.createElement('div');
    this.chatContainer.className = 'flex flex-col h-[500px]';
    
    // Header with user ID
    this.header = document.createElement('div');
    this.header.className = 'bg-blue-500 text-white p-4 flex justify-between items-center';
    this.header.innerHTML = `
      <div class="flex items-center gap-2">
        <i data-lucide="bot" class="w-5 h-5"></i>
        <span class="font-bold">Shared ChatGPT</span>
      </div>
      <span class="text-sm">User: ${this.userId.slice(0, 8)}</span>
    `;
    this.chatContainer.appendChild(this.header);
    
    this.messagesContainer = document.createElement('div');
    this.messagesContainer.className = 'flex-1 overflow-y-auto p-4 space-y-4';
    this.chatContainer.appendChild(this.messagesContainer);
    
    this.inputContainer = document.createElement('div');
    this.inputContainer.className = 'border-t p-4 bg-gray-50';
    
    this.input = document.createElement('input');
    this.input.type = 'text';
    this.input.placeholder = 'Type your message...';
    this.input.className = 'w-full px-4 py-2 border rounded-lg focus:outline-none focus:ring-2 focus:ring-blue-500';
    
    this.button = document.createElement('button');
    this.button.className = 'ml-2 px-4 py-2 bg-blue-500 text-white rounded-lg hover:bg-blue-600 focus:outline-none focus:ring-2 focus:ring-blue-500';
    this.button.innerHTML = '<i data-lucide="send"></i>';
    
    const inputGroup = document.createElement('div');
    inputGroup.className = 'flex';
    inputGroup.appendChild(this.input);
    inputGroup.appendChild(this.button);
    
    this.inputContainer.appendChild(inputGroup);
    this.chatContainer.appendChild(this.inputContainer);
    
    document.getElementById('chat-app').appendChild(this.chatContainer);
    
    // Event listeners
    this.button.addEventListener('click', () => this.sendMessage());
    this.input.addEventListener('keydown', (e) => {
      if (e.key === 'Enter') this.sendMessage();
    });
  }

  addWelcomeMessage() {
    this.addMessage({
      id: '1',
      content: 'Welcome to our shared ChatGPT platform! Ask me anything about programming or technology.',
      role: 'assistant'
    });
  }

  async sendMessage() {
    const content = this.input.value.trim();
    if (!content) return;
    
    // Add user message
    this.addMessage({
      id: Date.now().toString(),
      content,
      role: 'user'
    });
    
    this.input.value = '';
    this.showLoading();
    
    try {
      const response = await fetch(PROXY_URL, {
        method: 'POST',
        headers: {
          'Content-Type': 'application/json',
        },
        body: JSON.stringify({
          message: content,
          userId: this.userId,
          conversationId: 'shared-conversation'
        })
      });
      
      if (!response.ok) throw new Error('Failed to get response');
      
      const data = await response.json();
      this.addMessage({
        id: (Date.now() + 1).toString(),
        content: data.reply,
        role: 'assistant'
      });
    } catch (error) {
      console.error('Error:', error);
      this.addMessage({
        id: (Date.now() + 1).toString(),
        content: 'Sorry, I encountered an error. Please try again later.',
        role: 'assistant'
      });
    } finally {
      this.hideLoading();
    }
  }

  addMessage(message) {
    this.messages.push(message);
    this.renderMessages();
    this.scrollToBottom();
  }

  renderMessages() {
    this.messagesContainer.innerHTML = '';
    
    this.messages.forEach(msg => {
      const messageDiv = document.createElement('div');
      messageDiv.className = `flex ${msg.role === 'user' ? 'justify-end' : 'justify-start'}`;
      
      const contentDiv = document.createElement('div');
      contentDiv.className = `max-w-[80%] rounded-lg px-4 py-2 flex items-start gap-2 ${msg.role === 'user' ? 'bg-blue-500 text-white' : 'bg-gray-100 text-gray-800'}`;
      
      const icon = document.createElement('i');
      icon.setAttribute('data-lucide', msg.role === 'user' ? 'user' : 'bot');
      
      contentDiv.appendChild(icon);
      contentDiv.appendChild(document.createTextNode(msg.content));
      messageDiv.appendChild(contentDiv);
      this.messagesContainer.appendChild(messageDiv);
    });
    
    lucide.createIcons();
  }

  showLoading() {
    const loadingDiv = document.createElement('div');
    loadingDiv.className = 'flex justify-start';
    loadingDiv.id = 'loading-indicator';
    
    const contentDiv = document.createElement('div');
    contentDiv.className = 'bg-gray-100 text-gray-800 rounded-lg px-4 py-2 max-w-[80%] flex items-center gap-2';
    
    const icon = document.createElement('i');
    icon.setAttribute('data-lucide', 'bot');
    
    const dots = document.createElement('div');
    dots.className = 'flex space-x-2';
    dots.innerHTML = `
      <div class="bounce-dot w-2 h-2 rounded-full bg-gray-400"></div>
      <div class="bounce-dot w-2 h-2 rounded-full bg-gray-400" style="animation-delay:0.2s"></div>
      <div class="bounce-dot w-2 h-2 rounded-full bg-gray-400" style="animation-delay:0.4s"></div>
    `;
    
    contentDiv.appendChild(icon);
    contentDiv.appendChild(dots);
    loadingDiv.appendChild(contentDiv);
    this.messagesContainer.appendChild(loadingDiv);
    this.scrollToBottom();
    
    lucide.createIcons();
  }

  hideLoading() {
    const loading = document.getElementById('loading-indicator');
    if (loading) loading.remove();
  }

  scrollToBottom() {
    this.messagesContainer.scrollTop = this.messagesContainer.scrollHeight;
  }
}

// Initialize the chat when the page loads
document.addEventListener('DOMContentLoaded', () => {
  new SharedChat();
});

3. styles.css

/* Base styles */
body {
  margin: 0;
  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif;
}

/* Loading animation */
@keyframes bounce {
  0%, 100% {
    transform: translateY(0);
  }
  50% {
    transform: translateY(-5px);
  }
}

.bounce-dot {
  animation: bounce 0.6s infinite alternate;
}

/* Mobile responsiveness */
@media (max-width: 640px) {
  .container {
    padding: 1rem;
  }
  
  #chat-app {
    height: 80vh;
  }
}

/* Scrollbar styling */
::-webkit-scrollbar {
  width: 6px;
}

::-webkit-scrollbar-track {
  background: #f1f1f1;
}

::-webkit-scrollbar-thumb {
  background: #888;
  border-radius: 3px;
}

::-webkit-scrollbar-thumb:hover {
  background: #555;
}

4. README.md

# Shared ChatGPT Platform

A GitHub Pages-hosted application that allows multiple users to share a single ChatGPT API key through a backend proxy.

## Features

- Multi-user chat interface
- Shared API key through backend proxy
- User identification
- Responsive design for all devices
- Loading indicators
- Error handling

## Setup Instructions

1. **Frontend Deployment**:
   - Clone this repository
   - Update the `PROXY_URL` in `app.js` with your backend URL
   - Push to GitHub (repository must be named `[username].github.io`)

2. **Backend Setup**:
   - Deploy a proxy server (Vercel/Netlify/Firebase)
   - Set your OpenAI API key as an environment variable
   - Implement rate limiting

3. **Access**:
   - Your site will be live at: `https://L0V3Y0UT00.github.io`

## Backend Requirements

Your proxy server should:
- Protect your OpenAI API key
- Implement rate limiting
- Handle CORS properly
- Process requests from the frontend

Example proxy code is available in the repository.

Deployment Steps

  1. Create a new repository named exactly L0V3Y0UT00.github.io
  2. Add these files to the repository
  3. Push to GitHub:
git init
git add .
git commit -m "Initial commit"
git branch -M main
git remote add origin https://github.com/L0V3Y0UT00/L0V3Y0UT00.github.io.git
git push -u origin main
  1. Your site will be live at: https://L0V3Y0UT00.github.io

Important Notes

  1. Backend Proxy: You must set up a backend proxy to protect your API key. The frontend will not work without it.

  2. Rate Limiting: Implement rate limiting in your backend to prevent abuse.

  3. Customization: You can customize colors, fonts, and other styles in the CSS file.

  4. Mobile Friendly: The design is responsive and works on all device sizes.

This complete solution provides everything you need to deploy a multi-user ChatGPT platform on GitHub Pages with proper API key protection.

how to get firbase api key

To get a Firebase API key for your project, follow these steps:

1. Create a Firebase Project

  1. Go to the Firebase Console
  2. Click "Add project"
  3. Enter a project name (e.g., "ChatGPT-Proxy")
  4. Click "Continue"
  5. Disable Google Analytics (unless you need it)
  6. Click "Create project"

2. Get Your Firebase Config

  1. In your Firebase project dashboard:

    • Click the </> (Web) icon to register your app
    • Give it a nickname (e.g., "ChatGPT Frontend")
    • Click "Register app"
  2. You'll see your Firebase configuration object:

3. Enable Authentication (Optional)

If you want to add user authentication:

  1. Go to Authentication in the left menu
  2. Click "Get started"
  3. Select Email/Password and enable it
  4. Click Save

4. Enable Firestore Database (For Storing Chats)

  1. Go to Firestore Database in the left menu
  2. Click "Create database"
  3. Start in test mode (for development)
  4. Choose a location close to your users

5. Set Up Firebase Functions (For Proxy)

  1. Install Firebase CLI:
npm install -g firebase-tools
  1. Log in to Firebase:
firebase login
  1. Initialize Firebase in your project:
firebase init functions
  • Select TypeScript
  • Choose your Firebase project
  • Install dependencies with npm
  1. Create your proxy function in functions/src/index.ts:
import * as functions from 'firebase-functions';
import * as admin from 'firebase-admin';
import axios from 'axios';

admin.initializeApp();

export const chatProxy = functions.https.onRequest(async (req, res) => {
  // Implement rate limiting here
  // Get your OpenAI API key from Firebase config:
  const openaiKey = functions.config().openai.key;

  try {
    const response = await axios.post(
      'https://api.openai.com/v1/chat/completions',
      {
        model: "gpt-3.5-turbo",
        messages: [{ role: "user", content: req.body.message }],
        max_tokens: 150
      },
      {
        headers: {
          'Authorization': `Bearer ${openaiKey}`,
          'Content-Type': 'application/json'
        }
      }
    );

    res.status(200).json({ reply: response.data.choices[0].message.content });
  } catch (error) {
    console.error('Error:', error);
    res.status(500).json({ error: 'Failed to process request' });
  }
});
  1. Set your OpenAI API key in Firebase config:
firebase functions:config:set openai.key="your-openai-api-key"
  1. Deploy your function:
firebase deploy --only functions

6. Update Your Frontend

In your app.js, update the PROXY_URL with your Firebase function URL:

const PROXY_URL = 'https://us-central1-your-project-id.cloudfunctions.net/chatProxy';

Security Notes:

  1. Never expose your Firebase API key in client-side code for sensitive operations
  2. Use Firebase Security Rules to protect your database
  3. Implement rate limiting in your Firebase function
  4. Restrict API keys in Google Cloud Console

Where to Find API Keys Later:

  1. Firebase Config: Project settings > General > Your apps
  2. OpenAI Key: Keep this secure in Firebase config only
  3. Service Accounts: Project settings > Service accounts

This setup gives you a secure proxy that protects your OpenAI API key while allowing your GitHub Pages frontend to communicate with ChatGPT through Firebase.

Skip to main content Firebase logo Project Overview What's new App Distribution NEW Genkit NEW Vertex AI NEW Product categories Build Run Analytics AI All products Related development tools Firebase Studio Checks Billing plan:Spark No-cost ($0/month) chatgpt proxy chatgpt proxy Experiment with a Gemini 2.0 sample app! … Learn about the Gemini API and how it works by experimenting with an AI-powered sample app Accelerate app development Authentication An end-to-end user identity solution in under 10 lines of code Cloud Firestore Realtime updates, powerful queries, and automatic scaling Storage Store & retrieve user generated content Hosting Deploy web apps in seconds See all Build features Run and optimize your app with confidence Crashlytics Track, prioritize and fix stability issues that erode app quality, in realtime Performance Get insights into your app's performance Cloud Messaging Cross-platform push messaging infrastructure between your servers and user devices Remote Config Slowly and safely roll out new features in your app without deploying a new version See all Run features Build AI-powered features for your app Genkit Build and deploy server-side AI features powered by Google's GenAI models, cloud services, and your business data Vertex AI Call generative AI APIs directly from your mobile or web app, without the need to set up a backend See all AI features Deploy extended functionality to your app quickly Extensions Pre-packaged solutions that save you time See all Firebase features Finishing up… Gemini in Firebase Select a project to use Gemini in Firebase Try the new App Testing Agent (Preview)! Genkit for Node.js is Generally Available Generate images using Imagen 3 models Try the new App Testing Agent (Preview)! Genkit for Node.js is Generally Available Generate images using Imagen 3 models Click upgrade to learn how to claim a $300 free credit! Go to docs Add Firebase to your web app Completed Register app 2 Add Firebase SDK Use npm Use a <script> tag If you don't use build tools, use this option to add and use the Firebase JS SDK. Use this option to get started, but it's not recommended for production apps. Learn more. Copy and paste these scripts into the bottom of your <body> tag, but before you use any Firebase services: <script type="module"> // Import the functions you need from the SDKs you need import { initializeApp } from "https://www.gstatic.com/firebasejs/11.6.1/firebase-app.js"; import { getAnalytics } from "https://www.gstatic.com/firebasejs/11.6.1/firebase-analytics.js"; // TODO: Add SDKs for Firebase products that you want to use // https://firebase.google.com/docs/web/setup#available-libraries // Your web app's Firebase configuration // For Firebase JS SDK v7.20.0 and later, measurementId is optional const firebaseConfig = { apiKey: "AIzaSyD-BF6dRWaxtlK2ypdsOXf3zzxLjgOxUBY", authDomain: "chatgpt-proxy-ad430.firebaseapp.com", projectId: "chatgpt-proxy-ad430", storageBucket: "chatgpt-proxy-ad430.firebasestorage.app", messagingSenderId: "950672938269", appId: "1:950672938269:web:a4207a109219e187b2bdf4", measurementId: "G-JVJWD7XLXE" }; // Initialize Firebase const app = initializeApp(firebaseConfig); const analytics = getAnalytics(app); </script> Are you using npm and a bundler like webpack or Rollup? Check out the modular SDK. Learn more about Firebase for web: Get Started, Web SDK API Reference, Samples 3 Install Firebase CLI 4 Deploy to Firebase Hosting

Here's a streamlined guide to get your Firebase API key and set up your ChatGPT proxy:

1. Get Your Firebase Web Config

From your Firebase console screenshot, I can see you already have the configuration:

2. Set Up Firebase Functions (Proxy Backend)

  1. Install Firebase CLI:
npm install -g firebase-tools
firebase login
  1. Initialize Firebase project:
firebase init functions
  • Choose TypeScript
  • Select your project (chatgpt-proxy-ad430)
  • Install dependencies
  1. Create your proxy function in functions/src/index.ts:
import * as functions from 'firebase-functions';
import axios from 'axios';

export const chatProxy = functions.https.onRequest(async (req, res) => {
  // Set CORS headers
  res.set('Access-Control-Allow-Origin', '*');
  res.set('Access-Control-Allow-Methods', 'POST');
  
  if (req.method === 'OPTIONS') {
    res.status(204).send('');
    return;
  }

  try {
    const response = await axios.post(
      'https://api.openai.com/v1/chat/completions',
      {
        model: "gpt-3.5-turbo",
        messages: [{ role: "user", content: req.body.message }],
        max_tokens: 150
      },
      {
        headers: {
          'Authorization': `Bearer ${functions.config().openai.key}`,
          'Content-Type': 'application/json'
        }
      }
    );

    res.status(200).json({ reply: response.data.choices[0].message.content });
  } catch (error) {
    console.error('Error:', error);
    res.status(500).json({ error: 'Failed to process request' });
  }
});
  1. Set your OpenAI API key:
firebase functions:config:set openai.key="your-openai-api-key-here"
  1. Deploy your function:
firebase deploy --only functions

3. Update Your Frontend

In your app.js, update the proxy URL:

const PROXY_URL = 'https://us-central1-chatgpt-proxy-ad430.cloudfunctions.net/chatProxy';

4. Security Setup

  1. Restrict API Key (Google Cloud Console):

    • Go to Google Cloud Console
    • Navigate to "APIs & Services" > "Credentials"
    • Find your Firebase API key and restrict it:
      • Application restrictions: HTTP referrers
      • Add your GitHub Pages domain: *.github.io/*
  2. Firestore Rules (if using database):

rules_version = '2';
service cloud.firestore {
  match /databases/{database}/documents {
    match /{document=**} {
      allow read, write: if request.auth != null;
    }
  }
}

5. Deploy to Firebase Hosting (Optional)

If you want to host on Firebase instead of GitHub Pages:

firebase init hosting
firebase deploy

Important Notes:

  1. Your Firebase API key is safe to use in client-side code when properly restricted
  2. The OpenAI key should ONLY be stored in Firebase Functions config
  3. The proxy URL format is always: https://us-central1-[PROJECT-ID].cloudfunctions.net/[FUNCTION-NAME]

Your setup is now complete with:

  • Frontend: GitHub Pages
  • Backend: Firebase Functions proxy
  • Secure API key management
  • CORS handling for cross-origin requests

Would you like me to modify any part of this setup for your specific needs?

1. Take note of your session ID: 6549E 2. Visit the URL below on any device and follow the instructions to get your code: https://auth.firebase.tools/login?code_challenge=2mM5fzLasaRhcb8f0juI3IaSRZRvC1RGvrbe5GVZ22c&session=6549e093-a0fc-4fe4-9552-ad5f65c00bd2&attest=JbdBPAAZXteSeAzoVgVC9a67wNte9X-maPLgKqOOUgw 3. Paste or enter the authorization code below once you have it: ? Enter authorization code: [5]+ Stopped firebase login:ci @L0V3Y0UT00 ➜ /workspaces/L0V3Y0UT00.github.io (main) $ firebase login:ci ⚠ Authenticating with a `login:ci` token is deprecated and will be removed in a future major version of `firebase-tools`. Instead, use a service account key with `GOOGLE_APPLICATION_CREDENTIALS`: https://cloud.google.com/docs/authentication/getting-started Visit this URL on this device to log in: https://accounts.google.com/o/oauth2/auth?client_id=563584335869-fgrhgmd47bqnekij5i8b5pr03ho849e6.apps.googleusercontent.com&scope=email%20openid%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloudplatformprojects.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffirebase%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform&response_type=code&state=862070402&redirect_uri=http%3A%2F%2Flocalhost%3A9005 Waiting for authentication... To sign in to the Firebase CLI: 1. Take note of your session ID: 7BC6D 2. Visit the URL below on any device and follow the instructions to get your code: https://auth.firebase.tools/login?code_challenge=6nuas1i5VF7-lHWlkp01QReYt0SN-DjnrvSUqoMGdjo&session=7bc6d40b-3d99-41c3-b829-ed1c66d67968&attest=2r4dtLy69mDL_L0SCJVpvboJlgbBSuqEClDnjtlJ8LQ 3. Paste or enter the authorization code below once you have it: ? Enter authorization code: [6]+ Stopped firebase login:ci @L0V3Y0UT00 ➜ /workspaces/L0V3Y0UT00.github.io (main) $ firebase login:ci ⚠ Authenticating with a `login:ci` token is deprecated and will be removed in a future major version of `firebase-tools`. Instead, use a service account key with `GOOGLE_APPLICATION_CREDENTIALS`: https://cloud.google.com/docs/authentication/getting-started Visit this URL on this device to log in: https://accounts.google.com/o/oauth2/auth?client_id=563584335869-fgrhgmd47bqnekij5i8b5pr03ho849e6.apps.googleusercontent.com&scope=email%20openid%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloudplatformprojects.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffirebase%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform&response_type=code&state=897435447&redirect_uri=http%3A%2F%2Flocalhost%3A9005 Waiting for authentication... To sign in to the Firebase CLI: 1. Take note of your session ID: 7C67E 2. Visit the URL below on any device and follow the instructions to get your code: https://auth.firebase.tools/login?code_challenge=jxbfY3UJpoWcKAQ6parKcKQJnb2lMkp7pJ0cNyENidw&session=7c67e7f3-1459-45f0-9007-45b08d43316b&attest=JfpLtEUw8TkNxOC-nMUG5obwPnyO-SfsEbMuUvPS1rM 3. Paste or enter the authorization code below once you have it: ? Enter authorization code: [7]+ Stopped firebase login:ci @L0V3Y0UT00 ➜ /workspaces/L0V3Y0UT00.github.io (main) $ firebase login i Firebase optionally collects CLI and Emulator Suite usage and error reporting information to help improve our products. Data is collected in accordance with Google's privacy policy (https://policies.google.com/privacy) and is not used to identify you. ? Allow Firebase to collect CLI and Emulator Suite usage and error reporting information? Yes i To change your data collection preference at any time, run `firebase logout` and log in again. To sign in to the Firebase CLI: 1. Take note of your session ID: 4BE22 2. Visit the URL below on any device and follow the instructions to get your code: https://auth.firebase.tools/login?code_challenge=y3_JIJHQj90jT4MgHWmKTJwZ6MLLgd7OQEmn5AqXd2Q&session=4be228b4-a6dd-40e8-9894-004307e66e26&attest=-YIShUEPUwXU7qKLv6ukqkAh557c2iE4MsxysdZY3cE 3. Paste or enter the authorization code below once you have it: ? Enter authorization code: [8]+ Stopped firebase login @L0V3Y0UT00 ➜ /workspaces/L0V3Y0UT00.github.io (main) $ firebase login i Firebase optionally collects CLI and Emulator Suite usage and error reporting information to help improve our products. Data is collected in accordance with Google's privacy policy (https://policies.google.com/privacy) and is not used to identify you. ? Allow Firebase to collect CLI and Emulator Suite usage and error reporting information? Yes i To change your data collection preference at any time, run `firebase logout` and log in again. To sign in to the Firebase CLI: 1. Take note of your session ID: 7358F 2. Visit the URL below on any device and follow the instructions to get your code: https://auth.firebase.tools/login?code_challenge=YoyZQpPr1_R8OaJ4OZoIvFUTzjJIb4GURpYJmmW1mWc&session=7358f272-8fe7-4106-bc56-c49cbb2e171c&attest=_2ln3PvOBsjYT5fkwVBDEIn8VydJXdl8S1BLPoXD2Fs 3. Paste or enter the authorization code below once you have it: ? Enter authorization code: 4/0Ab_5qlnYRf3IlL_7M7jOHAtiHMY00ZYyYK3bhJ98xtV-SDr9grVUQclxE9WTm4C01sH4DQ Authentication Error: Your credentials are no longer valid. Please run firebase login --reauth For CI servers and headless environments, generate a new token with firebase login:ci Error: Unable to authenticate using the provided code. Please try again. @L0V3Y0UT00 ➜ /workspaces/L0V3Y0UT00.github.io (main) $ firebase login:ci ⚠ Authenticating with a `login:ci` token is deprecated and will be removed in a future major version of `firebase-tools`. Instead, use a service account key with `GOOGLE_APPLICATION_CREDENTIALS`: https://cloud.google.com/docs/authentication/getting-started Visit this URL on this device to log in: https://accounts.google.com/o/oauth2/auth?client_id=563584335869-fgrhgmd47bqnekij5i8b5pr03ho849e6.apps.googleusercontent.com&scope=email%20openid%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloudplatformprojects.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Ffirebase%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform&response_type=code&state=513295833&redirect_uri=http%3A%2F%2Flocalhost%3A9005 Waiting for authentication... ✔ Success! Use this token to login on a CI server: 1//0gf6Deh2xAw1KCgYIARAAGBASNwF-L9IrJawbkhtvdD7Tf0Vwyl7UyAdWu8SbGSuzztblEbn4-R7xAAVhnKsYkqVN0j3GHWvTd4g Example: firebase deploy --token "$FIREBASE_TOKEN" @L0V3Y0UT00 ➜ /workspaces/L0V3Y0UT00.github.io (main) $ firebase init Error: Failed to authenticate, have you run firebase login? @L0V3Y0UT00 ➜ /workspaces/L0V3Y0UT00.github.io (main) $ firebase deploy --token "$FIREBASE_TOKEN" Error: Not in a Firebase app directory (could not locate firebase.json) Having trouble? Try firebase [command] --help @L0V3Y0UT00 ➜ /workspaces/L0V3Y0UT00.github.io (main) $

It looks like you're having authentication issues with Firebase CLI. Let me help you resolve this step by step:

Solution for Firebase Authentication Issues

  1. First, clean up any existing authentication:
  1. Then authenticate properly using the recommended method:
firebase login
  1. If you need CI authentication (for GitHub Actions etc.), use:
firebase login:ci

Alternative Recommended Approach (Service Account)

Since login:ci is deprecated, here's the better way to authenticate:

  1. Create a service account:

    • Go to Google Cloud IAM Console
    • Select your Firebase project
    • Click "Create Service Account"
    • Give it "Firebase Admin" permissions
    • Click "Create Key" and download the JSON file
  2. Set environment variable:

export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account-file.json"
  1. Now you can initialize Firebase:
firebase init

If You Still Want to Use the Token

For your specific case where you already have a token:

  1. Set the token as environment variable:
export FIREBASE_TOKEN="1//0gf6Deh2xAw1KCgYIARAAGBASNwF-L9IrJawbkhtvdD7Tf0Vwyl7UyAdWu8SbGSuzztblEbn4-R7xAAVhnKsYkqVN0j3GHWvTd4g"
  1. Initialize your project:
mkdir firebase-project
cd firebase-project
firebase init functions
  1. When prompted, select your project (chatgpt-proxy-ad430)

Troubleshooting Tips

  1. If you get "Not in a Firebase app directory":

    • Make sure you run commands inside a directory with firebase.json
    • Run firebase init first to create this file
  2. If authentication fails:

    • Check your internet connection
    • Try a different browser for the authentication flow
    • Make sure you're using the same Google account that owns the Firebase project
  3. For timeout issues:

    • The authentication flow must complete within a few minutes
    • Copy the code immediately after generation

Would you like me to walk you through any specific part of this process in more detail? The service account method is more reliable for CI/CD environments.