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* make IPv6 compatible, safe run for coroutine interrupting

* instance_id -> session_id and fix api_client.py

* update doc

* remove useless faq

* safe ip mapping

* update app.py

* WIP completion

* completion

* update doc

* disable interactive mode for /v1/chat/completions

* docstring

* docstring

* refactor gradio

* update gradio

* udpate

* update doc

* rename

* session_id default -1

* missed two files

* add a APIClient

* add chat func for APIClient

* refine

* add concurrent function

* sequence_start, sequence_end --> interactive_mode

* update doc

* comments

* doc

* better text completion

* remove /v1/embeddings

* comments

* deprecate generate and use /v1/interactive/completions

* /v1/interactive/completion -> /v1/chat/interactive

* embeddings

* rename

* remove wrong arg description

* docstring

* fix

* update cli

* update doc

* strict session_len limit condition

* pass model args to api_server

* move tokenizer

* remove Tokenizer in init

* update deploy.py

* make IPv6 compatible, safe run for coroutine interrupting

* instance_id -> session_id and fix api_client.py

* update doc

* remove useless faq

* safe ip mapping

* update app.py

* remove print

* update doc

* fix benchmark serving cannot use Qwen tokenizer

* update benchmark readme

* add restful api

* refine

* add simple doc

* lint

* add uvicorn requirement

* more args

* add llama2

* docstring

* update doc

* save

* refine

* lint

* better decode

* add v1/embedding

* add GenerateRequest

* add llama2 chat template

* correct profiling

* update documents

* add length judge

* add faq

* update doc and rename req_que to req_queue

* fix md link, use get_logger, fix sequence_end bug

* use another doc link for go to avoid lint error

* add api_client.py

* update doc

* update doc

* update function interface

* update FAQ

* resolve comments

* change to incremental decoding

* update

* refactor model.py and support baichuan-7b

* remove model_name

* remove hard session_len

* export tokenizer.py to target dir

* remove model_name from client

* remove model_name

* update

* correct throughput equation

* fix session.response

* update serving.md

* update readme

* update according to review comments

* update

* update

* update

* update

* rename lmdeploy/serve/fastertransformer to lmdeploy/serve/turbomind

* update

* update

* change llmdeploy to lmdeploy

* update logo

* update readme

* remove constraints on model name

* remove duplicate model converter

* add profile

* get eos and bos from server

* update stop_words

* update sequence_length when the last generated token is eos_id

* fix

* fix

* check-in models

* valicate model_name

* make stop_words as property

* debug profiling

* better stats

* fix assistant reponse

* update profile serving

* update

* update