* First commit of memgpt client and some messy test code
* rolled back unnecessary changes to abstract interface; switched client to always use Queueing Interface
* Added missing interface clear() in run_command; added convenience method for checking if an agent exists, used that in create_agent
* Formatting fixes
* Fixed incorrect naming of get_agent_memory in rest server
* Removed erroneous clear from client save method; Replaced print statements with appropriate logger calls in server
* Updated readme with client usage instructions
* added tests for Client
* make printing to terminal togglable on queininginterface (should probably refactor this to a logger)
* turn off printing to stdout via interface by default
* allow importing the python client in a similar fashion to openai-python (see https://github.com/openai/openai-python)
* Allowed quickstart on init of client; updated readme and test_client accordingly
* oops, fixed name of openai_api_key config key
* Fixed small typo
* Fixed broken test by adding memgpt hosted model details to agent config
* silence llamaindex 'LLM is explicitly disabled. Using MockLLM.' on server
* default to openai if user's memgpt directory is empty (first time)
* correct type hint
* updated section on client in readme
* added comment about how MemGPT config != Agent config
* patch unrelated test
* update wording on readme
* patch another unrelated test
* added python client to readme docs
* Changed 'user' to 'human' in example; Defaulted AgentConfig.model to 'None'; Fixed issue in create_agent (accounting for dict config); matched test code to example
* Fixed advanced example
* patch test
* patch
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Co-authored-by: cpacker <packercharles@gmail.com>
* patch TEI error in load (now get different error)
* more hiding of MOCKLLM
* fix embedding dim
* refactored bandaid patches into custom embedding class return object patch
* made quickstart to openai or memgpt the default option when the user doesn't have a config set
* modified formatting + message styles
* revised quickstart guides in docs to talk about quickstart command
* make message consistent
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Co-authored-by: Sarah Wooders <sarahwooders@gmail.com>
* allow entering custom model name when using openai/azure
* pull models from endpoint
* added/tested vllm and azure
* no print
* make red
* make the endpoint question give you an opportunity to enter your openai api key again in case you made a mitake / want to swap it out
* add cascading workflow for openai+azure model listings
* patched bug w/ azure listing
* for openai, check for key and if missing allow user to pass it, for azure, throw error if the key isn't present
* correct prior checking of azure to be more strict, added similar checks at the embedding endpoint config stage
* forgot to override value in config before saving
* clean up the valuerrors from missing keys so that no stacktrace gets printed, make success text green to match others
* Revert "Revert "nonfunctional 404 quickstart command w/ some other typo corrections""
This reverts commit 5dbdf31f1ce939843ff97e649554d8bc0556a834.
* Revert "Revert "added example config file""
This reverts commit 72a58f6de31f3ff71847bbaf083a91182469f9af.
* tested and working
* added and tested openai quickstart, added fallback if internet 404's to pull from local copy
* typo
* updated openai key input message to include html link
* renamed --type to --backend, added --latest flag which fetches from online default is to pull from local file
* fixed links
* added memgpt server command
* added the option to specify a port (rest default 8283, ws default 8282)
* fixed import in test
* added agent saving on shutdown
* added basic locking mechanism (assumes only one server.py is running at the same time)
* remove 'STOP' from buffer when converting to list for the non-streaming POST resposne
* removed duplicate on_event (redundant to lifespan)
* added GET agents/memory route
* added GET agent config
* added GET server config
* added PUT route for modifying agent core memory
* refactored to put server loop in separate function called via main
* Fix bug where embeddings endpoint was getting set to deployment, upgraded pinned llama-index to use new version that has azure endpoint
* updated documentation
* added memgpt example for openai
* change wording to match configure
