From 8afbe88e8432658a83bb391bff8cd1b2c784d4d2 Mon Sep 17 00:00:00 2001 From: Sarah Wooders Date: Mon, 23 Oct 2023 14:11:34 -0700 Subject: [PATCH 01/19] move towards typer --- main.py | 169 ++++++++++++++++++++++++++++---------------------------- 1 file changed, 85 insertions(+), 84 deletions(-) diff --git a/main.py b/main.py index c0a92941d5..f1abb79097 100644 --- a/main.py +++ b/main.py @@ -7,6 +7,7 @@ import pickle import questionary +import typer from rich.console import Console @@ -27,60 +28,9 @@ ) from config import Config - -FLAGS = flags.FLAGS -flags.DEFINE_string("persona", default=None, required=False, help="Specify persona") -flags.DEFINE_string("human", default=None, required=False, help="Specify human") -flags.DEFINE_string( - "model", - default=constants.DEFAULT_MEMGPT_MODEL, - required=False, - help="Specify the LLM model", -) -flags.DEFINE_boolean( - "first", - default=False, - required=False, - help="Use -first to send the first message in the sequence", -) -flags.DEFINE_boolean( - "debug", default=False, required=False, help="Use -debug to enable debugging output" -) -flags.DEFINE_boolean( - "no_verify", default=False, required=False, help="Bypass message verification" -) -flags.DEFINE_string( - "archival_storage_faiss_path", - default="", - required=False, - help="Specify archival storage with FAISS index to load (a folder with a .index and .json describing documents to be loaded)", -) -flags.DEFINE_string( - "archival_storage_files", - default="", - required=False, - help="Specify files to pre-load into archival memory (glob pattern)", -) -flags.DEFINE_string( - "archival_storage_files_compute_embeddings", - default="", - required=False, - help="Specify files to pre-load into archival memory (glob pattern), and compute embeddings over them", -) -flags.DEFINE_string( - "archival_storage_sqldb", - default="", - required=False, - help="Specify SQL database to pre-load into archival memory", -) -# Support for Azure OpenAI (see: https://github.com/openai/openai-python#microsoft-azure-endpoints) -flags.DEFINE_boolean( - "use_azure_openai", - default=False, - required=False, - help="Use Azure OpenAI (requires additional environment variables)", -) - +import asyncio + +app = typer.Typer() def clear_line(): if os.name == "nt": # for windows @@ -156,56 +106,104 @@ def load(memgpt_agent, filename): f"/load warning: loading persistence manager from {filename} failed with: {e}" ) +@app.command() +def run( + persona: str = typer.Option(None, help="Specify persona"), + human: str = typer.Option(None, help="Specify human"), + model: str = typer.Option(constants.DEFAULT_MEMGPT_MODEL, help="Specify the LLM model"), + first: bool = typer.Option(False, "--first", help="Use --first to send the first message in the sequence"), + debug: bool = typer.Option(False, "--debug", help="Use --debug to enable debugging output"), + no_verify: bool = typer.Option(False, "--no-verify", help="Bypass message verification"), + archival_storage_faiss_path: str = typer.Option("", help="Specify archival storage with FAISS index to load (a folder with a .index and .json describing documents to be loaded)"), + archival_storage_files: str = typer.Option("", help="Specify files to pre-load into archival memory (glob pattern)"), + archival_storage_files_compute_embeddings: str = typer.Option("", help="Specify files to pre-load into archival memory (glob pattern), and compute embeddings over them"), + archival_storage_sqldb: str = typer.Option("", help="Specify SQL database to pre-load into archival memory"), + use_azure_openai: bool = typer.Option(False, "--use-azure-openai", help="Use Azure OpenAI (requires additional environment variables)") # TODO: just pass in? +): + + print("COMMAND RUN", persona) + loop = asyncio.get_event_loop() + loop.run_until_complete( + main( + persona, + human, + model, + first, + debug, + no_verify, + archival_storage_faiss_path, + archival_storage_files, + archival_storage_files_compute_embeddings, + archival_storage_sqldb, + use_azure_openai, + ) + ) + -async def main(): - utils.DEBUG = FLAGS.debug + +async def main( + persona, + human, + model, + first, + debug, + no_verify, + archival_storage_faiss_path, + archival_storage_files, + archival_storage_files_compute_embeddings, + archival_storage_sqldb, + use_azure_openai, +): + print("RUN MAIN") + utils.DEBUG = debug logging.getLogger().setLevel(logging.CRITICAL) - if FLAGS.debug: + if debug: logging.getLogger().setLevel(logging.DEBUG) if any( ( - FLAGS.persona, - FLAGS.human, - FLAGS.model != constants.DEFAULT_MEMGPT_MODEL, - FLAGS.archival_storage_faiss_path, - FLAGS.archival_storage_files, - FLAGS.archival_storage_files_compute_embeddings, - FLAGS.archival_storage_sqldb, + persona, + human, + model != constants.DEFAULT_MEMGPT_MODEL, + archival_storage_faiss_path, + archival_storage_files, + archival_storage_files_compute_embeddings, + archival_storage_sqldb, ) ): interface.important_message("⚙️ Using legacy command line arguments.") - model = FLAGS.model + model = model if model is None: model = constants.DEFAULT_MEMGPT_MODEL - memgpt_persona = FLAGS.persona + memgpt_persona = persona if memgpt_persona is None: memgpt_persona = ( personas.GPT35_DEFAULT if "gpt-3.5" in model else personas.DEFAULT ) - human_persona = FLAGS.human + human_persona = human if human_persona is None: human_persona = humans.DEFAULT - if FLAGS.archival_storage_files: + print(persona, model, memgpt_persona) + if archival_storage_files: cfg = await Config.legacy_flags_init( model, memgpt_persona, human_persona, load_type="folder", - archival_storage_files=FLAGS.archival_storage_files, + archival_storage_files=archival_storage_files, compute_embeddings=False, ) - elif FLAGS.archival_storage_faiss_path: + elif archival_storage_faiss_path: cfg = await Config.legacy_flags_init( model, memgpt_persona, human_persona, load_type="folder", - archival_storage_index=FLAGS.archival_storage_index, + archival_storage_index=archival_storage_index, compute_embeddings=False, ) - elif FLAGS.archival_storage_files_compute_embeddings: + elif archival_storage_files_compute_embeddings: print(model) print(memgpt_persona) print(human_persona) @@ -214,16 +212,16 @@ async def main(): memgpt_persona, human_persona, load_type="folder", - archival_storage_files=FLAGS.archival_storage_files_compute_embeddings, + archival_storage_files=archival_storage_files_compute_embeddings, compute_embeddings=True, ) - elif FLAGS.archival_storage_sqldb: + elif archival_storage_sqldb: cfg = await Config.legacy_flags_init( model, memgpt_persona, human_persona, load_type="sql", - archival_storage_files=FLAGS.archival_storage_sqldb, + archival_storage_files=archival_storage_sqldb, compute_embeddings=False, ) else: @@ -242,7 +240,7 @@ async def main(): ) # Azure OpenAI support - if FLAGS.use_azure_openai: + if use_azure_openai: azure_openai_key = os.getenv("AZURE_OPENAI_KEY") azure_openai_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT") azure_openai_version = os.getenv("AZURE_OPENAI_VERSION") @@ -285,9 +283,9 @@ async def main(): else: persistence_manager = InMemoryStateManager() - if FLAGS.archival_storage_files_compute_embeddings: + if archival_storage_files_compute_embeddings: interface.important_message( - f"(legacy) To avoid computing embeddings next time, replace --archival_storage_files_compute_embeddings={FLAGS.archival_storage_files_compute_embeddings} with\n\t --archival_storage_faiss_path={cfg.archival_storage_index} (if your files haven't changed)." + f"(legacy) To avoid computing embeddings next time, replace --archival_storage_files_compute_embeddings={archival_storage_files_compute_embeddings} with\n\t --archival_storage_faiss_path={cfg.archival_storage_index} (if your files haven't changed)." ) # Moved defaults out of FLAGS so that we can dynamically select the default persona based on model @@ -309,7 +307,7 @@ async def main(): user_input = None skip_next_user_input = False user_message = None - USER_GOES_FIRST = FLAGS.first + USER_GOES_FIRST = first if cfg.load_type == "sql": # TODO: move this into config.py in a clean manner if not os.path.exists(cfg.archival_storage_files): @@ -468,7 +466,7 @@ async def main(): function_failed, token_warning, ) = await memgpt_agent.step( - user_message, first_message=False, skip_verify=FLAGS.no_verify + user_message, first_message=False, skip_verify=no_verify ) # Skip user inputs if there's a memory warning, function execution failed, or the agent asked for control @@ -491,8 +489,11 @@ async def main(): if __name__ == "__main__": - def run(argv): - loop = asyncio.get_event_loop() - loop.run_until_complete(main()) + app() + #typer.run(run) + + #def run(argv): + # loop = asyncio.get_event_loop() + # loop.run_until_complete(main()) - app.run(run) + #app.run(run) From 8b2d6e3e8e218c1d8d6cfd9178b149f92f77025c Mon Sep 17 00:00:00 2001 From: Sarah Wooders Date: 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file mode 100644 index 0000000000..96d34888e4 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,26 @@ +[tool.poetry] +name = "pymemgpt" +version = "0.1.0" +description = "Teaching LLMs memory management for unbounded context" +authors = ["Sarah Wooders "] +license = "Apache License" +readme = "README.md" + +[tool.poetry.dependencies] +python = "<3.13,>=3.9" +absl-py = "^2.0.0" +typer = {extras = ["all"], version = "^0.9.0"} +questionary = "^2.0.1" +demjson3 = "^3.0.6" +numpy = "^1.26.1" +pytz = "^2023.3.post1" +faiss-cpu = "^1.7.4" +tiktoken = "^0.5.1" +pymupdf = "^1.23.5" +tqdm = "^4.66.1" +openai = "^0.28.1" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" From e132a291a034f08e7bcfd0dba05a164b7b48abcd Mon Sep 17 00:00:00 2001 From: Sarah Wooders Date: Mon, 23 Oct 2023 14:39:43 -0700 Subject: [PATCH 03/19] working poetry package --- memgpt/__main__.py | 2 ++ config.py => memgpt/config.py | 3 +- interface.py => memgpt/interface.py | 0 main.py => memgpt/main.py | 43 ++++++++++++++--------------- pyproject.toml | 5 +++- 5 files changed, 27 insertions(+), 26 deletions(-) create mode 100644 memgpt/__main__.py rename config.py => memgpt/config.py (99%) rename interface.py => memgpt/interface.py (100%) rename main.py => memgpt/main.py (93%) diff --git a/memgpt/__main__.py b/memgpt/__main__.py new file mode 100644 index 0000000000..2310408d9d --- /dev/null +++ b/memgpt/__main__.py @@ -0,0 +1,2 @@ +from .main import app +app() diff --git a/config.py b/memgpt/config.py similarity index 99% rename from config.py rename to memgpt/config.py index 5ebebd2482..6ab7ea5de3 100644 --- a/config.py +++ b/memgpt/config.py @@ -3,7 +3,6 @@ import os import textwrap -import interface import questionary @@ -12,7 +11,7 @@ from typing import List, Type import memgpt.utils as utils - +import memgpt.interface from memgpt.personas.personas import get_persona_text from memgpt.humans.humans import get_human_text diff --git a/interface.py b/memgpt/interface.py similarity index 100% rename from interface.py rename to memgpt/interface.py diff --git a/main.py b/memgpt/main.py similarity index 93% rename from main.py rename to memgpt/main.py index f1abb79097..c92f965e5a 100644 --- a/main.py +++ b/memgpt/main.py @@ -1,5 +1,4 @@ import asyncio -from absl import app, flags import logging import glob import os @@ -13,7 +12,7 @@ console = Console() -import interface # for printing to terminal +import memgpt.interface # for printing to terminal import memgpt.agent as agent import memgpt.system as system import memgpt.utils as utils @@ -27,7 +26,7 @@ InMemoryStateManagerWithFaiss, ) -from config import Config +from memgpt.config import Config import asyncio app = typer.Typer() @@ -121,7 +120,6 @@ def run( use_azure_openai: bool = typer.Option(False, "--use-azure-openai", help="Use Azure OpenAI (requires additional environment variables)") # TODO: just pass in? ): - print("COMMAND RUN", persona) loop = asyncio.get_event_loop() loop.run_until_complete( main( @@ -154,7 +152,6 @@ async def main( archival_storage_sqldb, use_azure_openai, ): - print("RUN MAIN") utils.DEBUG = debug logging.getLogger().setLevel(logging.CRITICAL) if debug: @@ -171,7 +168,7 @@ async def main( archival_storage_sqldb, ) ): - interface.important_message("⚙️ Using legacy command line arguments.") + memgpt.interface.important_message("⚙️ Using legacy command line arguments.") model = model if model is None: model = constants.DEFAULT_MEMGPT_MODEL @@ -233,9 +230,9 @@ async def main( else: cfg = await Config.config_init() - interface.important_message("Running... [exit by typing '/exit']") + memgpt.interface.important_message("Running... [exit by typing '/exit']") if cfg.model != constants.DEFAULT_MEMGPT_MODEL: - interface.warning_message( + memgpt.interface.warning_message( f"⛔️ Warning - you are running MemGPT with {cfg.model}, which is not officially supported (yet). Expect bugs!" ) @@ -284,7 +281,7 @@ async def main( persistence_manager = InMemoryStateManager() if archival_storage_files_compute_embeddings: - interface.important_message( + memgpt.interface.important_message( f"(legacy) To avoid computing embeddings next time, replace --archival_storage_files_compute_embeddings={archival_storage_files_compute_embeddings} with\n\t --archival_storage_faiss_path={cfg.archival_storage_index} (if your files haven't changed)." ) @@ -297,10 +294,10 @@ async def main( cfg.model, personas.get_persona_text(chosen_persona), humans.get_human_text(chosen_human), - interface, + memgpt.interface, persistence_manager, ) - print_messages = interface.print_messages + print_messages = memgpt.interface.print_messages await print_messages(memgpt_agent.messages) counter = 0 @@ -400,7 +397,7 @@ async def main( continue elif user_input.lower() == "/dumpraw": - await interface.print_messages_raw(memgpt_agent.messages) + await memgpt.interface.print_messages_raw(memgpt_agent.messages) continue elif user_input.lower() == "/dump1": @@ -439,7 +436,7 @@ async def main( # No skip options elif user_input.lower() == "/wipe": - memgpt_agent = agent.AgentAsync(interface) + memgpt_agent = agent.AgentAsync(memgpt.interface) user_message = None elif user_input.lower() == "/heartbeat": @@ -487,13 +484,13 @@ async def main( print("Finished.") -if __name__ == "__main__": - - app() - #typer.run(run) - - #def run(argv): - # loop = asyncio.get_event_loop() - # loop.run_until_complete(main()) - - #app.run(run) +#if __name__ == "__main__": +# +# app() +# #typer.run(run) +# +# #def run(argv): +# # loop = asyncio.get_event_loop() +# # loop.run_until_complete(main()) +# +# #app.run(run) diff --git a/pyproject.toml b/pyproject.toml index 96d34888e4..0ba7c22f5c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,11 +1,14 @@ [tool.poetry] -name = "pymemgpt" +name = "memgpt" version = "0.1.0" description = "Teaching LLMs memory management for unbounded context" authors = ["Sarah Wooders "] license = "Apache License" readme = "README.md" +[tool.poetry.scripts] +memgpt = "memgpt.main:app" + [tool.poetry.dependencies] python = "<3.13,>=3.9" absl-py = "^2.0.0" From 74b5d7883b6f62f2119d3f27977eac9cc9878de6 Mon Sep 17 00:00:00 2001 From: Sarah Wooders Date: Mon, 23 Oct 2023 14:49:40 -0700 Subject: [PATCH 04/19] Update package authors --- pyproject.toml | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 0ba7c22f5c..d316929ff6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -2,7 +2,11 @@ name = "memgpt" version = "0.1.0" description = "Teaching LLMs memory management for unbounded context" -authors = ["Sarah Wooders "] +authors = [ + "Charles Packer ", + "Vivian Fang ", + "Sarah Wooders " +] license = "Apache License" readme = "README.md" From ac610a1893124b7f378b7d0019d32b62820987c0 Mon Sep 17 00:00:00 2001 From: Sarah Wooders Date: Mon, 23 Oct 2023 15:02:51 -0700 Subject: [PATCH 05/19] update config location --- memgpt/config.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/memgpt/config.py b/memgpt/config.py index 6ab7ea5de3..0cff1b4913 100644 --- a/memgpt/config.py +++ b/memgpt/config.py @@ -25,9 +25,10 @@ class Config: - personas_dir = os.path.join("memgpt", "personas", "examples") - humans_dir = os.path.join("memgpt", "humans", "examples") - configs_dir = "configs" + base_dir = os.path.expanduser("~/.memgpt") + personas_dir = os.path.join("memgpt", "personas", "examples") # TODO: move to .memgpt + humans_dir = os.path.join("memgpt", "humans", "examples") # TODO: move to .memgpt + configs_dir = os.path.join(base_dir, "configs") def __init__(self): self.load_type = None From 08b0003ff9c4618b04fddf98a4dfc4ed27998f3f Mon Sep 17 00:00:00 2001 From: Sarah Wooders Date: Mon, 23 Oct 2023 15:07:39 -0700 Subject: [PATCH 06/19] ensure all temporary directories are created in .memgpt folder --- memgpt/config.py | 4 ++-- memgpt/main.py | 16 +++++++++------- memgpt/utils.py | 5 +++-- 3 files changed, 14 insertions(+), 11 deletions(-) diff --git a/memgpt/config.py b/memgpt/config.py index 0cff1b4913..3521babf01 100644 --- a/memgpt/config.py +++ b/memgpt/config.py @@ -22,13 +22,13 @@ value="gpt-3.5-turbo", ), ] +memgpt_dir = os.path.expanduser("~/.memgpt") class Config: - base_dir = os.path.expanduser("~/.memgpt") personas_dir = os.path.join("memgpt", "personas", "examples") # TODO: move to .memgpt humans_dir = os.path.join("memgpt", "humans", "examples") # TODO: move to .memgpt - configs_dir = os.path.join(base_dir, "configs") + configs_dir = os.path.join(memgpt_dir, "configs") def __init__(self): self.load_type = None diff --git a/memgpt/main.py b/memgpt/main.py index c92f965e5a..02c7724c73 100644 --- a/memgpt/main.py +++ b/memgpt/main.py @@ -26,7 +26,7 @@ InMemoryStateManagerWithFaiss, ) -from memgpt.config import Config +from memgpt.config import Config, memgpt_dir import asyncio app = typer.Typer() @@ -42,10 +42,11 @@ def clear_line(): def save(memgpt_agent, cfg): filename = utils.get_local_time().replace(" ", "_").replace(":", "_") filename = f"{filename}.json" - filename = os.path.join("saved_state", filename) + directory = os.path.join(memgpt_dir, "saved_state") + filename = os.path.join(directory, filename) try: - if not os.path.exists("saved_state"): - os.makedirs("saved_state") + if not os.path.exists(directory): + os.makedirs(directory) memgpt_agent.save_to_json_file(filename) print(f"Saved checkpoint to: {filename}") cfg.agent_save_file = filename @@ -370,10 +371,11 @@ async def main( utils.get_local_time().replace(" ", "_").replace(":", "_") ) filename = f"{filename}.pkl" + directory = os.path.join(memgpt_dir, "saved_chats") try: - if not os.path.exists("saved_chats"): - os.makedirs("saved_chats") - with open(os.path.join("saved_chats", filename), "wb") as f: + if not os.path.exists(directory): + os.makedirs(directory) + with open(os.path.join(directory, filename), "wb") as f: pickle.dump(memgpt_agent.messages, f) print(f"Saved messages to: {filename}") except Exception as e: diff --git a/memgpt/utils.py b/memgpt/utils.py index 112c270e54..55c8586462 100644 --- a/memgpt/utils.py +++ b/memgpt/utils.py @@ -15,6 +15,7 @@ import fitz from tqdm import tqdm from memgpt.openai_tools import async_get_embedding_with_backoff +from memgpt.configs import memgpt_dir def count_tokens(s: str, model: str = "gpt-4") -> int: encoding = tiktoken.encoding_for_model(model) @@ -222,7 +223,7 @@ async def bounded_process_chunk(i, chunk): async def prepare_archival_index_from_files_compute_embeddings(glob_pattern, tkns_per_chunk=300, model='gpt-4', embeddings_model='text-embedding-ada-002'): files = sorted(glob.glob(glob_pattern)) - save_dir = "archival_index_from_files_" + get_local_time().replace(' ', '_').replace(':', '_') + save_dir = os.path.join(memgpt_dir, "archival_index_from_files_" + get_local_time().replace(' ', '_').replace(':', '_')) os.makedirs(save_dir, exist_ok=True) total_tokens = total_bytes(glob_pattern) / 3 price_estimate = total_tokens / 1000 * .0001 @@ -285,4 +286,4 @@ def read_database_as_list(database_name): result_list.append(f"Error reading database: {str(e)}") except Exception as e: result_list.append(f"Error: {str(e)}") - return result_list \ No newline at end of file + return result_list From 70980902089ae4739909ec26167c60567480d553 Mon Sep 17 00:00:00 2001 From: Sarah Wooders Date: Mon, 23 Oct 2023 15:58:11 -0700 Subject: [PATCH 07/19] fix typo --- memgpt/utils.py | 2 +- pyproject.toml | 5 ++++- 2 files changed, 5 insertions(+), 2 deletions(-) diff --git a/memgpt/utils.py b/memgpt/utils.py index 55c8586462..52b044ab6e 100644 --- a/memgpt/utils.py +++ b/memgpt/utils.py @@ -15,7 +15,7 @@ import fitz from tqdm import tqdm from memgpt.openai_tools import async_get_embedding_with_backoff -from memgpt.configs import memgpt_dir +from memgpt.config import memgpt_dir def count_tokens(s: str, model: str = "gpt-4") -> int: encoding = tiktoken.encoding_for_model(model) diff --git a/pyproject.toml b/pyproject.toml index d316929ff6..36224e1122 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,9 @@ [tool.poetry] -name = "memgpt" +name = "pymemgpt" version = "0.1.0" +packages = [ + {include = "memgpt"} +] description = "Teaching LLMs memory management for unbounded context" authors = [ "Charles Packer ", From 16c9167d15b665bcc643e112855c3fc4b21619c3 Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 16:58:36 -0700 Subject: [PATCH 08/19] update README, stub main.py --- README.md | 40 ++++++++++++++++++++++++++++++---------- main.py | 2 ++ requirements.txt | 2 +- 3 files changed, 33 insertions(+), 11 deletions(-) create mode 100644 main.py diff --git a/README.md b/README.md index cd5f761bff..c84998b531 100644 --- a/README.md +++ b/README.md @@ -71,12 +71,32 @@ Memory-GPT (or MemGPT in short) is a system that intelligently manages different ## Running MemGPT locally -Install dependencies: +Install MemGPT: ```sh -pip install -r requirements.txt +pip install pymemgpt ``` +To update the package, run +```sh +pip install pymemgpt -U +``` + +
+Building from source + +Clone this repo: `git clone ` + +Using poetry: +1. Install poetry: `pip install poetry` +2. Run `poetry install` +3. Run `poetry run memgpt` + +Using pip: +1. Run `pip install -r requirements.txt` +2. Run `python3 main.py` +
+ Add your OpenAI API key to your environment: ```sh @@ -89,10 +109,10 @@ export OPENAI_API_KEY=YOUR_API_KEY set OPENAI_API_KEY=YOUR_API_KEY ``` -To run MemGPT for as a conversation agent in CLI mode, simply run `main.py`: +To run MemGPT for as a conversation agent in CLI mode, simply run `memgpt`: ```sh -python3 main.py +memgpt ``` If you're using Azure OpenAI, set these variables instead: @@ -105,7 +125,7 @@ export AZURE_OPENAI_VERSION = ... export AZURE_OPENAI_DEPLOYMENT = ... # then use the --use_azure_openai flag -python main.py --use_azure_openai +memgpt --use_azure_openai ``` To create a new starter user or starter persona (that MemGPT gets initialized with), create a new `.txt` file in [/memgpt/humans/examples](/memgpt/humans/examples) or [/memgpt/personas/examples](/memgpt/personas/examples), then use the `--persona` or `--human` flag when running `main.py`. For example: @@ -124,12 +144,12 @@ python main.py --human me.txt ### GPT-3.5 support You can run MemGPT with GPT-3.5 as the LLM instead of GPT-4: ```sh -python main.py +memgpt # Select gpt-3.5 during configuration process ``` -- OR -- ```sh -python main.py --model gpt-3.5-turbo +memgpt --model gpt-3.5-turbo ``` **Note that this is experimental gpt-3.5-turbo support. It's quite buggy compared to gpt-4, but it should be runnable.** @@ -210,7 +230,7 @@ id | name | age To talk to this database, run: ```sh -python main.py --archival_storage_sqldb=memgpt/personas/examples/sqldb/test.db +memgpt --archival_storage_sqldb=memgpt/personas/examples/sqldb/test.db ``` And then you can input the path to your database, and your query. @@ -233,7 +253,7 @@ To run our example where you can search over the SEC 10-K filings of Uber, Lyft, 2. In the root `MemGPT` directory, run ```bash - python3 main.py --archival_storage_files="memgpt/personas/examples/preload_archival/*.txt" --persona=memgpt_doc --human=basic + memgpt --archival_storage_files="memgpt/personas/examples/preload_archival/*.txt" --persona=memgpt_doc --human=basic ``` If you would like to load your own local files into MemGPT's archival memory, run the command above but replace `--archival_storage_files="memgpt/personas/examples/preload_archival/*.txt"` with your own file glob expression (enclosed in quotes). @@ -241,7 +261,7 @@ If you would like to load your own local files into MemGPT's archival memory, ru #### Enhance with embeddings search In the root `MemGPT` directory, run ```bash - python3 main.py --archival_storage_files_compute_embeddings="" --persona=memgpt_doc --human=basic + memgpt main.py --archival_storage_files_compute_embeddings="" --persona=memgpt_doc --human=basic ``` This will generate embeddings, stick them into a FAISS index, and write the index to a directory, and then output: diff --git a/main.py b/main.py new file mode 100644 index 0000000000..d13570f7c3 --- /dev/null +++ b/main.py @@ -0,0 +1,2 @@ +from memgpt.main import app +app() diff --git a/requirements.txt b/requirements.txt index cc1c56886c..7ca4b22f2f 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,3 @@ -absl-py colorama demjson3 faiss-cpu @@ -14,3 +13,4 @@ rich tiktoken timezonefinder tqdm +typer From abc5e9f400dbcd5475371767cc0a69af9009cb1c Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 17:39:05 -0700 Subject: [PATCH 09/19] support custom profile/persona folder in .memgpt --- main.py | 1 + memgpt/config.py | 86 ++++++++++++++++++++++++------------- memgpt/humans/humans.py | 15 ++++--- memgpt/main.py | 74 +++++++++++++++++++++++-------- memgpt/personas/personas.py | 14 +++--- 5 files changed, 129 insertions(+), 61 deletions(-) diff --git a/main.py b/main.py index d13570f7c3..88b67b5c36 100644 --- a/main.py +++ b/main.py @@ -1,2 +1,3 @@ from memgpt.main import app + app() diff --git a/memgpt/config.py b/memgpt/config.py index 3521babf01..6d5528d04e 100644 --- a/memgpt/config.py +++ b/memgpt/config.py @@ -26,11 +26,15 @@ class Config: - personas_dir = os.path.join("memgpt", "personas", "examples") # TODO: move to .memgpt - humans_dir = os.path.join("memgpt", "humans", "examples") # TODO: move to .memgpt + personas_dir = os.path.join("memgpt", "personas", "examples") + custom_personas_dir = os.path.join(memgpt_dir, "personas") + humans_dir = os.path.join("memgpt", "humans", "examples") + custom_humans_dir = os.path.join(memgpt_dir, "humans") configs_dir = os.path.join(memgpt_dir, "configs") def __init__(self): + os.makedirs(Config.custom_personas_dir, exist_ok=True) + os.makedirs(Config.custom_humans_dir, exist_ok=True) self.load_type = None self.archival_storage_files = None self.compute_embeddings = False @@ -224,9 +228,8 @@ def write_config(self, configs_dir=None): ) @staticmethod - def get_memgpt_personas(dir_path=None): - if dir_path is None: - dir_path = Config.personas_dir + def get_memgpt_personas(): + dir_path = Config.personas_dir all_personas = Config.get_personas(dir_path) default_personas = [ "sam", @@ -235,33 +238,54 @@ def get_memgpt_personas(dir_path=None): "memgpt_doc", "sam_simple_pov_gpt35", ] - custom_personas = list(set(all_personas) - set(default_personas)) - return Config.get_persona_choices( - [p for p in custom_personas + default_personas], get_persona_text - ) + [ - questionary.Separator(), - questionary.Choice( - f"📝 You can create your own personas by adding .txt files to {dir_path}.", - disabled=True, - ), - ] + custom_personas_in_examples = list(set(all_personas) - set(default_personas)) + custom_personas = Config.get_personas(Config.custom_personas_dir) + return ( + Config.get_persona_choices( + [p for p in custom_personas], + get_persona_text, + Config.custom_personas_dir, + ) + + Config.get_persona_choices( + [p for p in custom_personas_in_examples + default_personas], + get_persona_text, + Config.personas_dir, + ) + + [ + questionary.Separator(), + questionary.Choice( + f"📝 You can create your own personas by adding .txt files to {Config.custom_personas_dir}.", + disabled=True, + ), + ] + ) @staticmethod - def get_user_personas(dir_path=None): - if dir_path is None: - dir_path = Config.humans_dir + def get_user_personas(): + dir_path = Config.humans_dir all_personas = Config.get_personas(dir_path) default_personas = ["basic", "cs_phd"] - custom_personas = list(set(all_personas) - set(default_personas)) - return Config.get_persona_choices( - [p for p in custom_personas + default_personas], get_human_text - ) + [ - questionary.Separator(), - questionary.Choice( - f"📝 You can create your own human profiles by adding .txt files to {dir_path}.", - disabled=True, - ), - ] + custom_personas_in_examples = list(set(all_personas) - set(default_personas)) + custom_personas = Config.get_personas(Config.custom_humans_dir) + return ( + Config.get_persona_choices( + [p for p in custom_personas], + get_human_text, + Config.custom_humans_dir, + ) + + Config.get_persona_choices( + [p for p in custom_personas_in_examples + default_personas], + get_human_text, + Config.humans_dir, + ) + + [ + questionary.Separator(), + questionary.Choice( + f"📝 You can create your own human profiles by adding .txt files to {Config.custom_humans_dir}.", + disabled=True, + ), + ] + ) @staticmethod def get_personas(dir_path) -> List[str]: @@ -274,14 +298,14 @@ def get_personas(dir_path) -> List[str]: return stems @staticmethod - def get_persona_choices(personas, text_getter): + def get_persona_choices(personas, text_getter, dir): return [ questionary.Choice( title=[ ("class:question", f"{p}"), - ("class:text", f"\n{indent(text_getter(p))}"), + ("class:text", f"\n{indent(text_getter(p, dir))}"), ], - value=p, + value=(p, dir), ) for p in personas ] diff --git a/memgpt/humans/humans.py b/memgpt/humans/humans.py index 534ecdbba7..8cd99f1f4d 100644 --- a/memgpt/humans/humans.py +++ b/memgpt/humans/humans.py @@ -1,13 +1,16 @@ import os -DEFAULT = 'cs_phd' +DEFAULT = "cs_phd" -def get_human_text(key=DEFAULT): - filename = key if key.endswith('.txt') else f'{key}.txt' - file_path = os.path.join(os.path.dirname(__file__), 'examples', filename) + +def get_human_text(key=DEFAULT, dir=None): + if dir is None: + dir = os.path.join(os.path.dirname(__file__), "examples") + filename = key if key.endswith(".txt") else f"{key}.txt" + file_path = os.path.join(dir, filename) if os.path.exists(file_path): - with open(file_path, 'r') as file: + with open(file_path, "r") as file: return file.read().strip() else: - raise FileNotFoundError(f"No file found for key {key}, path={file_path}") \ No newline at end of file + raise FileNotFoundError(f"No file found for key {key}, path={file_path}") diff --git a/memgpt/main.py b/memgpt/main.py index 02c7724c73..b453d41c23 100644 --- a/memgpt/main.py +++ b/memgpt/main.py @@ -28,9 +28,10 @@ from memgpt.config import Config, memgpt_dir import asyncio - + app = typer.Typer() + def clear_line(): if os.name == "nt": # for windows console.print("\033[A\033[K", end="") @@ -106,21 +107,43 @@ def load(memgpt_agent, filename): f"/load warning: loading persistence manager from {filename} failed with: {e}" ) + @app.command() def run( persona: str = typer.Option(None, help="Specify persona"), human: str = typer.Option(None, help="Specify human"), - model: str = typer.Option(constants.DEFAULT_MEMGPT_MODEL, help="Specify the LLM model"), - first: bool = typer.Option(False, "--first", help="Use --first to send the first message in the sequence"), - debug: bool = typer.Option(False, "--debug", help="Use --debug to enable debugging output"), - no_verify: bool = typer.Option(False, "--no-verify", help="Bypass message verification"), - archival_storage_faiss_path: str = typer.Option("", help="Specify archival storage with FAISS index to load (a folder with a .index and .json describing documents to be loaded)"), - archival_storage_files: str = typer.Option("", help="Specify files to pre-load into archival memory (glob pattern)"), - archival_storage_files_compute_embeddings: str = typer.Option("", help="Specify files to pre-load into archival memory (glob pattern), and compute embeddings over them"), - archival_storage_sqldb: str = typer.Option("", help="Specify SQL database to pre-load into archival memory"), - use_azure_openai: bool = typer.Option(False, "--use-azure-openai", help="Use Azure OpenAI (requires additional environment variables)") # TODO: just pass in? -): - + model: str = typer.Option( + constants.DEFAULT_MEMGPT_MODEL, help="Specify the LLM model" + ), + first: bool = typer.Option( + False, "--first", help="Use --first to send the first message in the sequence" + ), + debug: bool = typer.Option( + False, "--debug", help="Use --debug to enable debugging output" + ), + no_verify: bool = typer.Option( + False, "--no-verify", help="Bypass message verification" + ), + archival_storage_faiss_path: str = typer.Option( + "", + help="Specify archival storage with FAISS index to load (a folder with a .index and .json describing documents to be loaded)", + ), + archival_storage_files: str = typer.Option( + "", help="Specify files to pre-load into archival memory (glob pattern)" + ), + archival_storage_files_compute_embeddings: str = typer.Option( + "", + help="Specify files to pre-load into archival memory (glob pattern), and compute embeddings over them", + ), + archival_storage_sqldb: str = typer.Option( + "", help="Specify SQL database to pre-load into archival memory" + ), + use_azure_openai: bool = typer.Option( + False, + "--use-azure-openai", + help="Use Azure OpenAI (requires additional environment variables)", + ), # TODO: just pass in? +): loop = asyncio.get_event_loop() loop.run_until_complete( main( @@ -139,7 +162,6 @@ def run( ) - async def main( persona, human, @@ -176,11 +198,27 @@ async def main( memgpt_persona = persona if memgpt_persona is None: memgpt_persona = ( - personas.GPT35_DEFAULT if "gpt-3.5" in model else personas.DEFAULT + personas.GPT35_DEFAULT if "gpt-3.5" in model else personas.DEFAULT, + Config.personas_dir, ) + else: + try: + personas.get_persona_text(memgpt_persona, Config.custom_personas_dir) + memgpt_persona = (memgpt_persona, Config.custom_personas_dir) + except FileNotFoundError: + personas.get_persona_text(memgpt_persona, Config.personas_dir) + memgpt_persona = (memgpt_persona, Config.personas_dir) + human_persona = human if human_persona is None: - human_persona = humans.DEFAULT + human_persona = (humans.DEFAULT, Config.humans_dir) + else: + try: + humans.get_human_text(human_persona, Config.custom_humans_dir) + human_persona = (human_persona, Config.custom_humans_dir) + except FileNotFoundError: + humans.get_human_text(human_persona, Config.humans_dir) + human_persona = (human_persona, Config.humans_dir) print(persona, model, memgpt_persona) if archival_storage_files: @@ -293,8 +331,8 @@ async def main( memgpt_agent = presets.use_preset( presets.DEFAULT, cfg.model, - personas.get_persona_text(chosen_persona), - humans.get_human_text(chosen_human), + personas.get_persona_text(*chosen_persona), + humans.get_human_text(*chosen_human), memgpt.interface, persistence_manager, ) @@ -486,7 +524,7 @@ async def main( print("Finished.") -#if __name__ == "__main__": +# if __name__ == "__main__": # # app() # #typer.run(run) diff --git a/memgpt/personas/personas.py b/memgpt/personas/personas.py index 0d1a89db63..9d15938e46 100644 --- a/memgpt/personas/personas.py +++ b/memgpt/personas/personas.py @@ -1,15 +1,17 @@ import os -DEFAULT = 'sam_pov' -GPT35_DEFAULT = 'sam_simple_pov_gpt35' +DEFAULT = "sam_pov" +GPT35_DEFAULT = "sam_simple_pov_gpt35" -def get_persona_text(key=DEFAULT): - filename = key if key.endswith('.txt') else f'{key}.txt' - file_path = os.path.join(os.path.dirname(__file__), 'examples', filename) +def get_persona_text(key=DEFAULT, dir=None): + if dir is None: + dir = os.path.join(os.path.dirname(__file__), "examples") + filename = key if key.endswith(".txt") else f"{key}.txt" + file_path = os.path.join(dir, filename) if os.path.exists(file_path): - with open(file_path, 'r') as file: + with open(file_path, "r") as file: return file.read().strip() else: raise FileNotFoundError(f"No file found for key {key}, path={file_path}") From 7b177e53bf91f26dd2f1e455d80e29f86f644157 Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 17:42:44 -0700 Subject: [PATCH 10/19] make flags use underscores (legacy) --- memgpt/main.py | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) diff --git a/memgpt/main.py b/memgpt/main.py index b453d41c23..5c0f9fb0c3 100644 --- a/memgpt/main.py +++ b/memgpt/main.py @@ -122,25 +122,31 @@ def run( False, "--debug", help="Use --debug to enable debugging output" ), no_verify: bool = typer.Option( - False, "--no-verify", help="Bypass message verification" + False, "--no_verify", help="Bypass message verification" ), archival_storage_faiss_path: str = typer.Option( "", + "--archival_storage_faiss_path", help="Specify archival storage with FAISS index to load (a folder with a .index and .json describing documents to be loaded)", ), archival_storage_files: str = typer.Option( - "", help="Specify files to pre-load into archival memory (glob pattern)" + "", + "--archival_storage_files", + help="Specify files to pre-load into archival memory (glob pattern)", ), archival_storage_files_compute_embeddings: str = typer.Option( "", + "--archival_storage_files_compute_embeddings", help="Specify files to pre-load into archival memory (glob pattern), and compute embeddings over them", ), archival_storage_sqldb: str = typer.Option( - "", help="Specify SQL database to pre-load into archival memory" + "", + "--archival_storage_sqldb", + help="Specify SQL database to pre-load into archival memory", ), use_azure_openai: bool = typer.Option( False, - "--use-azure-openai", + "--use_azure_openai", help="Use Azure OpenAI (requires additional environment variables)", ), # TODO: just pass in? ): From 3393d790c0169bf803ae82935a6ae18a01441040 Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 17:45:10 -0700 Subject: [PATCH 11/19] update authors --- pyproject.toml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 36224e1122..93938b1f05 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,8 +7,10 @@ packages = [ description = "Teaching LLMs memory management for unbounded context" authors = [ "Charles Packer ", - "Vivian Fang ", + "Vivian Fang ", "Sarah Wooders " + "Shishir Patil ", + "Kevin Lin ", ] license = "Apache License" readme = "README.md" From e91709de142003bbbf35b63b420000907ddeef33 Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 17:49:20 -0700 Subject: [PATCH 12/19] update authors --- pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 93938b1f05..3020ac3a33 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -8,9 +8,9 @@ description = "Teaching LLMs memory management for unbounded context" authors = [ "Charles Packer ", "Vivian Fang ", - "Sarah Wooders " + "Sarah Wooders ", "Shishir Patil ", - "Kevin Lin ", + "Kevin Lin " ] license = "Apache License" readme = "README.md" From 816947c9769018a2c7e10d9d1c5a3278c4774b8d Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 17:53:07 -0700 Subject: [PATCH 13/19] include cli hotfix changes --- memgpt/main.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/memgpt/main.py b/memgpt/main.py index 5c0f9fb0c3..2ef440eb57 100644 --- a/memgpt/main.py +++ b/memgpt/main.py @@ -242,8 +242,9 @@ async def main( memgpt_persona, human_persona, load_type="folder", - archival_storage_index=archival_storage_index, - compute_embeddings=False, + archival_storage_files=archival_storage_faiss_path, + archival_storage_index=archival_storage_faiss_path, + compute_embeddings=True, ) elif archival_storage_files_compute_embeddings: print(model) @@ -313,7 +314,7 @@ async def main( ) return - if cfg.archival_storage_index: + if cfg.index: persistence_manager = InMemoryStateManagerWithFaiss( cfg.index, cfg.archival_database ) From f6faadd070c2dda0d45a499b4d79d81d125c3af7 Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 18:18:49 -0700 Subject: [PATCH 14/19] remove absl, update poetry.lock --- poetry.lock | 52 +++----------------------------------------------- pyproject.toml | 1 - 2 files changed, 3 insertions(+), 50 deletions(-) diff --git a/poetry.lock b/poetry.lock index ffd89d10d1..89768b7bc1 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,22 +1,9 @@ -# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. - -[[package]] -name = "absl-py" -version = "2.0.0" -description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." -category = "main" -optional = false -python-versions = ">=3.7" -files = [ - {file = "absl-py-2.0.0.tar.gz", hash = "sha256:d9690211c5fcfefcdd1a45470ac2b5c5acd45241c3af71eed96bc5441746c0d5"}, - {file = "absl_py-2.0.0-py3-none-any.whl", hash = "sha256:9a28abb62774ae4e8edbe2dd4c49ffcd45a6a848952a5eccc6a49f3f0fc1e2f3"}, -] +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. [[package]] name = "aiohttp" version = "3.8.6" description = "Async http client/server framework (asyncio)" -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -125,7 +112,6 @@ speedups = ["Brotli", "aiodns", "cchardet"] name = "aiosignal" version = "1.3.1" description = "aiosignal: a list of registered asynchronous callbacks" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -140,7 +126,6 @@ frozenlist = ">=1.1.0" name = "async-timeout" version = "4.0.3" description = "Timeout context manager for asyncio programs" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -152,7 +137,6 @@ files = [ name = "attrs" version = "23.1.0" description = "Classes Without Boilerplate" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -171,7 +155,6 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte name = "certifi" version = "2023.7.22" description = "Python package for providing Mozilla's CA Bundle." -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -183,7 +166,6 @@ files = [ name = "charset-normalizer" version = "3.3.1" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." -category = "main" optional = false python-versions = ">=3.7.0" files = [ @@ -283,7 +265,6 @@ files = [ name = "click" version = "8.1.7" description = "Composable command line interface toolkit" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -298,7 +279,6 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""} name = "colorama" version = "0.4.6" description = "Cross-platform colored terminal text." -category = "main" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" files = [ @@ -310,7 +290,6 @@ files = [ name = "demjson3" version = "3.0.6" description = "encoder, decoder, and lint/validator for JSON (JavaScript Object Notation) compliant with RFC 7159" -category = "main" optional = false python-versions = "*" files = [ @@ -321,7 +300,6 @@ files = [ name = "faiss-cpu" version = "1.7.4" description = "A library for efficient similarity search and clustering of dense vectors." -category = "main" optional = false python-versions = "*" files = [ @@ -356,7 +334,6 @@ files = [ name = "frozenlist" version = "1.4.0" description = "A list-like structure which implements collections.abc.MutableSequence" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -427,7 +404,6 @@ files = [ name = "idna" version = "3.4" description = "Internationalized Domain Names in Applications (IDNA)" -category = "main" optional = false python-versions = ">=3.5" files = [ @@ -439,7 +415,6 @@ files = [ name = "markdown-it-py" version = "3.0.0" description = "Python port of markdown-it. Markdown parsing, done right!" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -464,7 +439,6 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] name = "mdurl" version = "0.1.2" description = "Markdown URL utilities" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -476,7 +450,6 @@ files = [ name = "multidict" version = "6.0.4" description = "multidict implementation" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -560,7 +533,6 @@ files = [ name = "numpy" version = "1.26.1" description = "Fundamental package for array computing in Python" -category = "main" optional = false python-versions = "<3.13,>=3.9" files = [ @@ -602,7 +574,6 @@ files = [ name = "openai" version = "0.28.1" description = "Python client library for the OpenAI API" -category = "main" optional = false python-versions = ">=3.7.1" files = [ @@ -617,7 +588,7 @@ tqdm = "*" [package.extras] datalib = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"] -dev = ["black (>=21.6b0,<22.0)", "pytest (>=6.0.0,<7.0.0)", "pytest-asyncio", "pytest-mock"] +dev = ["black (>=21.6b0,<22.0)", "pytest (==6.*)", "pytest-asyncio", "pytest-mock"] embeddings = ["matplotlib", "numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "plotly", "scikit-learn (>=1.0.2)", "scipy", "tenacity (>=8.0.1)"] wandb = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "wandb"] @@ -625,7 +596,6 @@ wandb = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1 name = "prompt-toolkit" version = "3.0.36" description = "Library for building powerful interactive command lines in Python" -category = "main" optional = false python-versions = ">=3.6.2" files = [ @@ -640,7 +610,6 @@ wcwidth = "*" name = "pygments" version = "2.16.1" description = "Pygments is a syntax highlighting package written in Python." -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -655,7 +624,6 @@ plugins = ["importlib-metadata"] name = "pymupdf" version = "1.23.5" description = "A high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents." -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -699,7 +667,6 @@ PyMuPDFb = "1.23.5" name = "pymupdfb" version = "1.23.5" description = "MuPDF shared libraries for PyMuPDF." -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -715,7 +682,6 @@ files = [ name = "pytz" version = "2023.3.post1" description = "World timezone definitions, modern and historical" -category = "main" optional = false python-versions = "*" files = [ @@ -727,7 +693,6 @@ files = [ name = "questionary" version = "2.0.1" description = "Python library to build pretty command line user prompts ⭐️" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -742,7 +707,6 @@ prompt_toolkit = ">=2.0,<=3.0.36" name = "regex" version = "2023.10.3" description = "Alternative regular expression module, to replace re." -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -840,7 +804,6 @@ files = [ name = "requests" version = "2.31.0" description = "Python HTTP for Humans." -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -862,7 +825,6 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] name = "rich" version = "13.6.0" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" -category = "main" optional = false python-versions = ">=3.7.0" files = [ @@ -881,7 +843,6 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"] name = "shellingham" version = "1.5.3" description = "Tool to Detect Surrounding Shell" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -893,7 +854,6 @@ files = [ name = "tiktoken" version = "0.5.1" description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -939,7 +899,6 @@ blobfile = ["blobfile (>=2)"] name = "tqdm" version = "4.66.1" description = "Fast, Extensible Progress Meter" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -960,7 +919,6 @@ telegram = ["requests"] name = "typer" version = "0.9.0" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." -category = "main" optional = false python-versions = ">=3.6" files = [ @@ -985,7 +943,6 @@ test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6. name = "typing-extensions" version = "4.8.0" description = "Backported and Experimental Type Hints for Python 3.8+" -category = "main" optional = false python-versions = ">=3.8" files = [ @@ -997,7 +954,6 @@ files = [ name = "urllib3" version = "2.0.7" description = "HTTP library with thread-safe connection pooling, file post, and more." -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -1015,7 +971,6 @@ zstd = ["zstandard (>=0.18.0)"] name = "wcwidth" version = "0.2.8" description = "Measures the displayed width of unicode strings in a terminal" -category = "main" optional = false python-versions = "*" files = [ @@ -1027,7 +982,6 @@ files = [ name = "yarl" version = "1.9.2" description = "Yet another URL library" -category = "main" optional = false python-versions = ">=3.7" files = [ @@ -1114,4 +1068,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "<3.13,>=3.9" -content-hash = "f8422bd16dbf6359250e8e35e91ac5b7ca8362567694b45aa7b198c8c8879339" +content-hash = "d5c3f3a0c8149f3ba08cca638c1a5154f2d7d42ddeb4a7ed2d87bc9545841f23" diff --git a/pyproject.toml b/pyproject.toml index 3020ac3a33..5ff6dff7b8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,7 +20,6 @@ memgpt = "memgpt.main:app" [tool.poetry.dependencies] python = "<3.13,>=3.9" -absl-py = "^2.0.0" typer = {extras = ["all"], version = "^0.9.0"} questionary = "^2.0.1" demjson3 = "^3.0.6" From e9024723ee2483a1e20eb0b5a039d6d2b1414564 Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 22:54:12 -0700 Subject: [PATCH 15/19] update for windows --- README.md | 5 +++++ memgpt/config.py | 2 +- 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index b815464764..93418d38df 100644 --- a/README.md +++ b/README.md @@ -115,6 +115,11 @@ To run MemGPT for as a conversation agent in CLI mode, simply run `memgpt`: memgpt ``` +If you get `command not found` (Linux/MacOS), or a `CommandNotFoundException` (Windows), the directory where pip installs scripts is not in your PATH. You can either add that directory to your path (`pip show pip | grep Scripts`) or instead just run: +```sh +python -m memgpt +``` + If you're using Azure OpenAI, set these variables instead: ```sh diff --git a/memgpt/config.py b/memgpt/config.py index 13e4e70bf8..67c15bb618 100644 --- a/memgpt/config.py +++ b/memgpt/config.py @@ -22,7 +22,7 @@ value="gpt-3.5-turbo", ), ] -memgpt_dir = os.path.expanduser("~/.memgpt") +memgpt_dir = os.path.join(os.path.expanduser("~"), ".memgpt") class Config: From 6753c8f340969003135e7b16d072f22d8043147c Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 23:00:27 -0700 Subject: [PATCH 16/19] update README --- README.md | 47 ++++++++++++++++++++++++----------------------- 1 file changed, 24 insertions(+), 23 deletions(-) diff --git a/README.md b/README.md index 93418d38df..3a47f35f63 100644 --- a/README.md +++ b/README.md @@ -82,21 +82,6 @@ To update the package, run pip install pymemgpt -U ``` -
-Building from source - -Clone this repo: `git clone ` - -Using poetry: -1. Install poetry: `pip install poetry` -2. Run `poetry install` -3. Run `poetry run memgpt` - -Using pip: -1. Run `pip install -r requirements.txt` -2. Run `python3 main.py` -
- Add your OpenAI API key to your environment: ```sh @@ -119,6 +104,22 @@ If you get `command not found` (Linux/MacOS), or a `CommandNotFoundException` (W ```sh python -m memgpt ``` +If that still doesn't work, try building from source: +
+Building from source + +Clone this repo: `git clone ` + +Using poetry: +1. Install poetry: `pip install poetry` +2. Run `poetry install` +3. Run `poetry run memgpt` + +Using pip: +1. Run `pip install -r requirements.txt` +2. Run `python3 main.py` +
+ If you're using Azure OpenAI, set these variables instead: @@ -133,18 +134,18 @@ export AZURE_OPENAI_DEPLOYMENT = ... memgpt --use_azure_openai ``` -To create a new starter user or starter persona (that MemGPT gets initialized with), create a new `.txt` file in [/memgpt/humans/examples](/memgpt/humans/examples) or [/memgpt/personas/examples](/memgpt/personas/examples), then use the `--persona` or `--human` flag when running `main.py`. For example: - +To create a new starter user or starter persona (that MemGPT gets initialized with), create a new `.txt` file in `~/.memgpt/humans` or `~/.memgpt/personas`, then use the `--persona` or `--human` flag when running `main.py`. For example: ```sh -# assuming you created a new file /memgpt/humans/examples/me.txt -python main.py +# assuming you created a new file ~/.memgpt/humans/me.txt +memgpt # Select me.txt during configuration process ``` -- OR -- ```sh -# assuming you created a new file /memgpt/humans/examples/me.txt -python main.py --human me.txt +# assuming you created a new file ~/.memgpt/humans/me.txt +memgpt --human me.txt ``` +You can also specify any of the starter users in [/memgpt/humans/examples](/memgpt/humans/examples) or any of the starter personas in [/memgpt/personas/examples](/memgpt/personas/examples). ### GPT-3.5 support You can run MemGPT with GPT-3.5 as the LLM instead of GPT-4: @@ -277,7 +278,7 @@ This will generate embeddings, stick them into a FAISS index, and write the inde If you want to reuse these embeddings, run ```bash -python3 main.py --archival_storage_faiss_path="" --persona=memgpt_doc --human=basic +memgpt --archival_storage_faiss_path="" --persona=memgpt_doc --human=basic ``` @@ -309,7 +310,7 @@ MemGPT also enables you to chat with docs -- try running this example to talk to 3. In the root `MemGPT` directory, run ```bash - python3 main.py --archival_storage_faiss_path= --persona=memgpt_doc --human=basic + memgpt --archival_storage_faiss_path= --persona=memgpt_doc --human=basic ``` where `ARCHIVAL_STORAGE_FAISS_PATH` is the directory where `all_docs.jsonl` and `all_docs.index` are located. If you downloaded from Hugging Face, it will be `memgpt/personas/docqa/llamaindex-api-docs`. From b96ac0fa20e9be122af5f35bcfb51cc05c2cda7a Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 23:14:03 -0700 Subject: [PATCH 17/19] update README --- README.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 3a47f35f63..f79f70473b 100644 --- a/README.md +++ b/README.md @@ -100,11 +100,16 @@ To run MemGPT for as a conversation agent in CLI mode, simply run `memgpt`: memgpt ``` +
+Debugging command not found + If you get `command not found` (Linux/MacOS), or a `CommandNotFoundException` (Windows), the directory where pip installs scripts is not in your PATH. You can either add that directory to your path (`pip show pip | grep Scripts`) or instead just run: ```sh python -m memgpt ``` If that still doesn't work, try building from source: +
+
Building from source @@ -116,7 +121,7 @@ Using poetry: 3. Run `poetry run memgpt` Using pip: -1. Run `pip install -r requirements.txt` +1. Run `pip install -e .` 2. Run `python3 main.py`
From df15dabcf9d880e2cbcea3ab9692b95e81e1ee92 Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 23:15:48 -0700 Subject: [PATCH 18/19] update README --- README.md | 1 - 1 file changed, 1 deletion(-) diff --git a/README.md b/README.md index f79f70473b..6be9c101c4 100644 --- a/README.md +++ b/README.md @@ -107,7 +107,6 @@ If you get `command not found` (Linux/MacOS), or a `CommandNotFoundException` (W ```sh python -m memgpt ``` -If that still doesn't work, try building from source:
From 0523ae751ea6727acbbfd0298e81d07e33d7160b Mon Sep 17 00:00:00 2001 From: Vivian Fang Date: Mon, 23 Oct 2023 23:30:53 -0700 Subject: [PATCH 19/19] update README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6be9c101c4..ae521929b1 100644 --- a/README.md +++ b/README.md @@ -112,7 +112,7 @@ python -m memgpt
Building from source -Clone this repo: `git clone ` +Clone this repo: `git clone https://github.com/cpacker/MemGPT.git` Using poetry: 1. Install poetry: `pip install poetry`