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* use dask to parallelize document learning * prefer threads * remove memory actor * remove providers actor * remove chat provider and embeddings actors * remove config actor * remove router actor * move embedding logic from base to learn actor * move remaining actors to chat_handlers * remove references to ray and grpcio * implement async handlers and concurrency * precommit * remove compute_delayed() * clear chat history in clear handler * log chat handler latency * delete useless comment * make /generate async and concurrent * raise Python version ceiling to 3.11 * support Dask on Python 3.11 * pre-commit fixes * create task per message in root chat handler, fix concurrency * log server extension init time * remove unused code from the era of model engines * pre-commit fixes * bump langchain to 0.0.220 * fix recursion error when switching embedding providers * fix pickle issue and relearning logic * relearn on /ask if embedding model was changed * pre-commit * implement _acall for AI21 and Cohere providers * pin anthropic to 0.2.10 * pre-commit * write to self.llm_params after creating chain * fix LearnChatHandler to not throw on empty config * update example notebooks * return if no embedding provider selected * make SM Endpoints provider async * implement async for HF Hub provider * strip quotation marks from generated notebook titles
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