genia-dev / genia Goto Github PK
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Home Page: https://genia-dev.github.io/GeniA/
License: Apache License 2.0
Your Engineering Gen AI Team member 🧬🤖💻
Home Page: https://genia-dev.github.io/GeniA/
License: Apache License 2.0
### Describe the feature or problem you’d like to solve
With the increasing use of Microsoft Teams for communication and collaboration in many organizations, it would be beneficial for GeniA users to have a seamless integration with Teams. This would allow users to directly access GeniA features from within the Teams environment, thereby improving efficiency and user experience.
### Proposed solution
How will it benefit GeniA and its users?
### Additional context
I believe many organizations, including ours, rely heavily on Microsoft Teams for daily operations. An integration would greatly enhance our workflow and encourage more users to adopt GeniA.
I'm trying to run Genia on a local machine using anaconda and I'm getting issues.
I've created a new conda environment with python 3.11, run a pip3 install for genia and streamlit, then room streamlit run app.py as
the whole poet setup doesn't work for me.
I get the below error :
Traceback (most recent call last):
File "C:\Users\evanu\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\LocalCache\local-packages\Python310\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 565, in _run_script
exec(code, module.dict)
File "genia/main.py", line 5, in
from genia.settings_loader import settings
File "C:\GenIA\GeniA\genia\settings_loader.py", line 3, in
from dynaconf import Dynaconf
ModuleNotFoundError: No module named 'dynaconf'
I've checked that Dynaconf is installed in the right place :
but I'm getting this error in streamlit
Microsoft Windows [Version 10.0.22621.2715]
(c) Microsoft Corporation. All rights reserved.
C:\Users\Asus\Desktop\genia\GeniA>genia
Python was not found; run without arguments to install from the Microsoft Store, or disable this shortcut from Settings > Manage App Execution Aliases.
C:\Users\Asus\Desktop\genia\GeniA>
Self explanatory. Installed cloned etc all
and thats outcome
teach genia how to use AKS apis as new tools
have a look at the below directory implemented for local k8s and implement the matching functionality on AKS
genia/tools/kubernetes_client
When attempting to run the GeniA docker container on Windows, I encountered an error indicating that entrypoint.sh
cannot be found.
entrypoint.sh
cannot be found.Expected behavior: The docker container should run without any errors.
Actual behavior: Received an error indicating that entrypoint.sh
cannot be found.
N/A
As a workaround, I had to clone and build GeniA on WSL (Windows Subsystem for Linux). After doing this, the docker container worked fine on Windows Docker Desktop. I believe it has to do with line endings.
"
(genia) PS D:\AI\GeniA>
docker run -p 5001:5001 --env-file ./.env -it geniadev/genia:latest
Traceback (most recent call last):
File "/app/main.py", line 7, in
from genia.agents.chat import OpenAIChat
File "/app/genia/agents/chat.py", line 29, in
class OpenAIChat(Agent):
File "/app/genia/agents/chat.py", line 43, in OpenAIChat
llm_functions_repository=LLMFunctionRepository(OpenAIEmbeddings(), FAISS),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/app/genia/llm_function/llm_function_repository.py", line 60, in init
self._init(functions_dict, tools_dict, skills_dict)
File "/app/genia/llm_function/llm_function_repository.py", line 130, in _init
self._init_vector_store(llm_functions_list)
File "/app/genia/llm_function/llm_function_repository.py", line 146, in _init_vector_store
self._vector_store = self._vector_store.from_texts(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/langchain/vectorstores/faiss.py", line 551, in from_texts
embeddings = embedding.embed_documents(texts)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/langchain/embeddings/openai.py", line 452, in embed_documents
return self._get_len_safe_embeddings(texts, engine=self.deployment)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/langchain/embeddings/openai.py", line 302, in _get_len_safe_embeddings
response = embed_with_retry(
^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/langchain/embeddings/openai.py", line 97, in embed_with_retry
return _embed_with_retry(**kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/tenacity/init.py", line 289, in wrapped_f
return self(f, *args, **kw)
^^^^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/tenacity/init.py", line 379, in call
do = self.iter(retry_state=retry_state)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/tenacity/init.py", line 314, in iter
return fut.result()
^^^^^^^^^^^^
File "/usr/local/lib/python3.11/concurrent/futures/_base.py", line 449, in result
return self.__get_result()
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.11/concurrent/futures/_base.py", line 401, in __get_result
raise self._exception
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/tenacity/init.py", line 382, in call
result = fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/langchain/embeddings/openai.py", line 95, in _embed_with_retry
return embeddings.client.create(**kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/openai/api_resources/embedding.py", line 33, in create
response = super().create(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py", line 153, in create
response, _, api_key = requestor.request(
^^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/openai/api_requestor.py", line 298, in request
resp, got_stream = self._interpret_response(result, stream)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/openai/api_requestor.py", line 700, in _interpret_response
self._interpret_response_line(
File "/root/.cache/pypoetry/virtualenvs/genia-9TtSrW0h-py3.11/lib/python3.11/site-packages/openai/api_requestor.py", line 763, in _interpret_response_line
raise self.handle_error_response(
openai.error.InvalidRequestError: Invalid URL (POST /engines/text-embedding-ada-002/embeddings)
"
(yes I had the .env file containing the API key)
"
(base) PS D:\AI\GeniA> conda activate genia
(genia) PS D:\AI\GeniA> poetry run local
Warning: 'local' is an entry point defined in pyproject.toml, but it's not installed as a script. You may get improper sys.argv[0]
.
The support to run uninstalled scripts will be removed in a future release.
Run poetry install
to resolve and get rid of this message.
Traceback (most recent call last):
File "", line 1, in
File "C:\ProgramData\anaconda3\envs\genia\Lib\importlib_init_.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "", line 1204, in _gcd_import
File "", line 1176, in _find_and_load
File "", line 1147, in _find_and_load_unlocked
File "", line 690, in _load_unlocked
File "", line 940, in exec_module
File "", line 241, in _call_with_frames_removed
File "D:\AI\GeniA\genia\main.py", line 6, in
from genia.agents.chat import OpenAIChat
File "D:\AI\GeniA\genia\agents\chat.py", line 24, in
class OpenAIChat(OpenAIToolsEmpoweredAgent):
File "D:\AI\GeniA\genia\agents\chat.py", line 38, in OpenAIChat
OpenAIEmbeddings(
File "pydantic\main.py", line 341, in pydantic.main.BaseModel.init
pydantic.error_wrappers.ValidationError: 1 validation error for OpenAIEmbeddings
root
Did not find openai_api_key, please add an environment variable OPENAI_API_KEY
which contains it, or pass openai_api_key
as a named parameter. (type=value_error)
(genia) PS D:\AI\GeniA>
"
teach genia how to use Kafka basic apis as new tools
teach genia how to use the Grafane apis as new tools
alerting api
metric history
teach genia how to use RDBMS apis as new tools
AWS RDS
postgress
mysql
etc
teach genia how to use EKS apis as new tools
have a look at the below directory implemented for local k8s and implement the matching functionality on EKS
genia/tools/kubernetes_client
teach genia how to use Azure Functions apis as new tools
have a look at the below file implemented for aws lambda and implement the matching functionality on azure functions
genia/tools/kubernetes_client
create lambda
delete lambda
list available lambdas
invoke lambda
update lambda
etc.
teach genia how to use GKS apis as new tools
have a look at the below directory implemented for local k8s and implement the matching functionality on GKS
genia/tools/kubernetes_client
teach genia how to use GCP Cloud Functions apis as new tools
have a look at the below file implemented for aws lambda and implement the matching functionality on cloud functions
genia/tools/kubernetes_client
create lambda
delete lambda
list available lambdas
invoke lambda
update lambda
etc.
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