Limit is due to POST body max size. Sufficiently large requests will abort automatically
We should report that error back on the frontend during embedding
Update vectordb providers to return on failed
* Remove LangchainJS for chat support chaining
Implement runtime LLM selection
Implement AzureOpenAI Support for LLM + Emebedding
WIP on frontend
Update env to reflect the new fields
* Remove LangchainJS for chat support chaining
Implement runtime LLM selection
Implement AzureOpenAI Support for LLM + Emebedding
WIP on frontend
Update env to reflect the new fields
* Replace keys with LLM Selection in settings modal
Enforce checks for new ENVs depending on LLM selection
