* mark depricated API section * CLI bug fixes for azure * check azure before running * Update README.md * Update README.md * bug fix with persona loading * remove print * make errors for cli flags more clear * format * fix imports * fix imports * add prints * update lock * update config fields * cleanup config loading * commit * remove asserts * refactor configure * put into different functions * add embedding default * pass in config * fixes * allow overriding openai embedding endpoint * black * trying to patch tests (some circular import errors) * update flags and docs * patched support for local llms using endpoint and endpoint type passed via configs, not env vars * missing files * fix naming * fix import * fix two runtime errors * patch ollama typo, move ollama model question pre-wrapper, modify question phrasing to include link to readthedocs, also have a default ollama model that has a tag included * disable debug messages * made error message for failed load more informative * don't print dynamic linking function warning unless --debug * updated tests to work with new cli workflow (disabled openai config test for now) * added skips for tests when vars are missing * update bad arg * revise test to soft pass on empty string too * don't run configure twice * extend timeout (try to pass against nltk download) * update defaults * typo with endpoint type default * patch runtime errors for when model is None * catching another case of 'x in model' when model is None (preemptively) * allow overrides to local llm related config params * made model wrapper selection from a list vs raw input * update test for select instead of input * Fixed bug in endpoint when using local->openai selection, also added validation loop to manual endpoint entry * updated error messages to be more informative with links to readthedocs * add back gpt3.5-turbo --------- Co-authored-by: cpacker <packercharles@gmail.com>
58 lines
1.6 KiB
Python
58 lines
1.6 KiB
Python
import pexpect
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from .constants import TIMEOUT
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def configure_memgpt_localllm():
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child = pexpect.spawn("memgpt configure")
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child.expect("Select LLM inference provider", timeout=TIMEOUT)
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child.send("\x1b[B") # Send the down arrow key
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child.send("\x1b[B") # Send the down arrow key
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child.sendline()
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child.expect("Select LLM backend", timeout=TIMEOUT)
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child.sendline()
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child.expect("Enter default endpoint", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select default model wrapper", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select your model's context window", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select embedding provider", timeout=TIMEOUT)
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child.send("\x1b[B") # Send the down arrow key
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child.send("\x1b[B") # Send the down arrow key
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child.sendline()
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child.expect("Select default preset", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select default persona", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select default human", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select storage backend for archival data", timeout=TIMEOUT)
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child.sendline()
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child.sendline()
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child.expect(pexpect.EOF, timeout=TIMEOUT) # Wait for child to exit
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child.close()
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assert child.isalive() is False, "CLI should have terminated."
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assert child.exitstatus == 0, "CLI did not exit cleanly."
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def configure_memgpt(enable_openai=False, enable_azure=False):
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if enable_openai:
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raise NotImplementedError
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elif enable_azure:
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raise NotImplementedError
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else:
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configure_memgpt_localllm()
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