This project is everything Chat-GPT should be for developers! An advanced AI-driven coding companion tailored for developers. Seamlessly bridging the gap between traditional coding and AI capabilities, we offer real-time chat interactions, on-demand agent functions, and intuitive code management. Feedback welcome!
License: MIT License
![sweep-ai[bot] avatar](https://avatars.githubusercontent.com/in/307814?v=4 "sweep-ai[bot]")
Add a feature to the working context that automatically summarizes the working context after every 5 turns of the conversation.
backend/memory/memory_manager.py ✓ b11cd11 Editbackend/memory/memory_manager.py ✓ Editbackend/tests/test_memory_manager.py ✓ 459d4cf Editbackend/tests/test_memory_manager.py ✓ Editbackend/agent/coding_agent.py ✓ 1e0a34a Editbackend/agent/coding_agent.py ✓ EditGetting ReferenceError: BiErrorCircle is not defined from the app. Also the app looks wonky, potentially missing dependencies?
OpenAI error:
Traceback (most recent call last):
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\tenacity\__init__.py", line 382, in __call__
result = fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\backend\database\my_codebase.py", line 240, in encode
result = openai.Embedding.create(input=text_or_tokens, model=model)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\openai\api_resources\embedding.py", line 33, in create
response = super().create(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\openai\api_resources\abstract\engine_api_resource.py", line 153, in create
response, _, api_key = requestor.request(
^^^^^^^^^^^^^^^^^^
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\openai\api_requestor.py", line 298, in request
resp, got_stream = self._interpret_response(result, stream)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\openai\api_requestor.py", line 700, in _interpret_response
self._interpret_response_line(
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\openai\api_requestor.py", line 763, in _interpret_response_line
raise self.handle_error_response(
openai.error.InvalidRequestError: This model's maximum context length is 8191 tokens, however you requested 8994 tokens (8994 in your prompt; 0 for the completion). Please reduce your prompt; or completion length.Other error:
Traceback (most recent call last):
File "C:\Python311\Lib\multiprocessing\process.py", line 314, in _bootstrap
self.run()
File "C:\Python311\Lib\multiprocessing\process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\uvicorn\_subprocess.py", line 76, in subprocess_started
target(sockets=sockets)
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\uvicorn\server.py", line 61, in run
return asyncio.run(self.serve(sockets=sockets))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Python311\Lib\asyncio\runners.py", line 190, in run
return runner.run(main)
^^^^^^^^^^^^^^^^
File "C:\Python311\Lib\asyncio\runners.py", line 118, in run
return self._loop.run_until_complete(task)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Python311\Lib\asyncio\base_events.py", line 653, in run_until_complete
return future.result()
^^^^^^^^^^^^^^^
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\uvicorn\server.py", line 68, in serve
config.load()
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\uvicorn\config.py", line 467, in load
self.loaded_app = import_from_string(self.app)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\uvicorn\importer.py", line 21, in import_from_string
module = importlib.import_module(module_str)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Python311\Lib\importlib\__init__.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<frozen importlib._bootstrap>", line 1206, in _gcd_import
File "<frozen importlib._bootstrap>", line 1178, in _find_and_load
File "<frozen importlib._bootstrap>", line 1149, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 690, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 940, in exec_module
File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\backend\main.py", line 32, in <module>
codebase = MyCodebase("../")
^^^^^^^^^^^^^^^^^
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\backend\database\my_codebase.py", line 100, in __init__
self._update_files_and_embeddings(directory)
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\backend\database\my_codebase.py", line 137, in _update_files_and_embeddings
self.update_file(file_path)
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\backend\database\my_codebase.py", line 171, in update_file
embedding = pickle.dumps(self.encode(text))
^^^^^^^^^^^^^^^^^
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\tenacity\__init__.py", line 289, in wrapped_f
return self(f, *args, **kw)
^^^^^^^^^^^^^^^^^^^^
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\tenacity\__init__.py", line 379, in __call__
do = self.iter(retry_state=retry_state)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\mfalc\Documents\Projects\GPT-CodeApp\.venv\Lib\site-packages\tenacity\__init__.py", line 326, in iter
raise retry_exc from fut.exception()
tenacity.RetryError: RetryError[<Future at 0x24e5aa5f690 state=finished raised InvalidRequestError>]It looks like you have the configuration for Amazon AWS Bedrock models listed under the Anthropic config, and I don't see instructions on how to use this with Anthropic.
Also, I found webAI-to-API that can use your browser cookie and interface with Claude without an official API key (which I don't have). I have no idea how or if I could configure something like this or other tools needing an API key to use a tool like WebAI-to-AI- so if you can make this work with the cookie like WebAI-to-AI, or integrate something like that into this, that would make it way more practical for me than anything I have found.
This looks like a really cool project, so thanks for sharing it!
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