diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 815c6694d5..2d7ee44edf 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -42,7 +42,7 @@ jobs: PGVECTOR_TEST_DB_URL: ${{ secrets.PGVECTOR_TEST_DB_URL }} OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} run: | - poetry install + poetry install -E postgres -E dev - name: Set Poetry config env: diff --git a/docs/contributing.md b/docs/contributing.md index ff919660e7..f5a9671478 100644 --- a/docs/contributing.md +++ b/docs/contributing.md @@ -6,14 +6,12 @@ First, install Poetry using [the official instructions here](https://python-poet Then, you can install MemGPT from source with: ```sh git clone git@github.com:cpacker/MemGPT.git -poetry shell -poetry install +poetry install -E dev ``` We recommend installing pre-commit to ensure proper formatting during development: ```sh -pip install pre-commit -pre-commit install -pre-commit run --all-files +poetry run pre-commit install +poetry run pre-commit run --all-files ``` ### Formatting diff --git a/docs/local_llm.md b/docs/local_llm.md index 30aebdbd93..d48d389114 100644 --- a/docs/local_llm.md +++ b/docs/local_llm.md @@ -6,6 +6,12 @@ Make sure to check the [local LLM troubleshooting page](../local_llm_faq) to see common issues before raising a new issue or posting on Discord. +### Installing dependencies +To install dependencies required for running local models, run: +``` +pip install 'pymemgpt[local]' +``` + ### Quick overview 1. Put your own LLM behind a web server API (e.g. [oobabooga web UI](https://github.com/oobabooga/text-generation-webui#starting-the-web-ui)) diff --git a/docs/storage.md b/docs/storage.md index e5e2e182ff..ecf957ca77 100644 --- a/docs/storage.md +++ b/docs/storage.md @@ -1,16 +1,19 @@ -# Configuring Storage Backends -MemGPT supports both local and database storage for archival memory. You can configure which storage backend to use via `memgpt configure`. For larger datasets, we recommend using a database backend. +# Configuring Storage Backends +MemGPT supports both local and database storage for archival memory. You can configure which storage backend to use via `memgpt configure`. For larger datasets, we recommend using a database backend. !!! warning "Switching storage backends" - MemGPT can only use one storage backend at a time. If you switch from local to database storage, you will need to re-load data and start agents from scratch. We currently do not support migrating between storage backends. + MemGPT can only use one storage backend at a time. If you switch from local to database storage, you will need to re-load data and start agents from scratch. We currently do not support migrating between storage backends. ## Local -MemGPT will default to using local storage (saved at `~/.memgpt/archival/` for loaded data sources, and `~/.memgpt/agents/` for agent storage). +MemGPT will default to using local storage (saved at `~/.memgpt/archival/` for loaded data sources, and `~/.memgpt/agents/` for agent storage). ## Postgres -In user to us the Postgres backend, you must have a running Postgres database that MemGPT can write to. You can enable the Postgres backend by running `memgpt configure` and selecting `postgres` for archival storage, which will then prompt for the database URI (e.g. `postgresql+pg8000://:@:5432/`) +In user to us the Postgres backend, you must have a running Postgres database that MemGPT can write to. You can enable the Postgres backend by running `memgpt configure` and selecting `postgres` for archival storage, which will then prompt for the database URI (e.g. `postgresql+pg8000://:@:5432/`). To enable the Postgres backend, make sure to install the required dependencies with: +``` +pip install 'pymemgpt[postgres]' +``` -## Chroma +## Chroma (Coming soon) diff --git a/memgpt/main.py b/memgpt/main.py index b1415bd176..40421a8871 100644 --- a/memgpt/main.py +++ b/memgpt/main.py @@ -172,7 +172,11 @@ def legacy_run( if ctx.invoked_subcommand is not None: return - typer.secho("Warning: Running legacy run command. Run `memgpt run` instead.", fg=typer.colors.RED, bold=True) + typer.secho( + "Warning: Running legacy run command. You may need to `pip install pymemgpt[legacy] -U`. Run `memgpt run` instead.", + fg=typer.colors.RED, + bold=True, + ) if not questionary.confirm("Continue with legacy CLI?", default=False).ask(): return diff --git a/memgpt/memory.py b/memgpt/memory.py index c007cbb0f7..126a2c3143 100644 --- a/memgpt/memory.py +++ b/memgpt/memory.py @@ -2,8 +2,6 @@ import os import datetime import re -import faiss -import numpy as np from typing import Optional, List, Tuple from .constants import MESSAGE_SUMMARY_WARNING_TOKENS, MEMGPT_DIR @@ -353,6 +351,8 @@ class DummyArchivalMemoryWithFaiss(DummyArchivalMemory): def __init__(self, index=None, archival_memory_database=None, embedding_model="text-embedding-ada-002", k=100): if index is None: + import faiss + self.index = faiss.IndexFlatL2(1536) # openai embedding vector size. else: self.index = index @@ -366,6 +366,8 @@ def __len__(self): return len(self._archive) def _insert(self, memory_string, embedding): + import numpy as np + print(f"Got an embedding, type {type(embedding)}, len {len(embedding)}") self._archive.append( @@ -394,6 +396,8 @@ def _search(self, query_embedding, query_string, count=None, start=None): # query_embedding = get_embedding(query_string, model=self.embedding_model) # our wrapped version supports backoff/rate-limits + import numpy as np + if query_string in self.embeddings_dict: search_result = self.search_results[query_string] else: diff --git a/memgpt/utils.py b/memgpt/utils.py index ace0916341..e96c15de1e 100644 --- a/memgpt/utils.py +++ b/memgpt/utils.py @@ -7,7 +7,6 @@ import json import pytz import os -import faiss import tiktoken import glob import sqlite3 @@ -104,6 +103,8 @@ def parse_json(string): def prepare_archival_index(folder): + import faiss + index_file = os.path.join(folder, "all_docs.index") index = faiss.read_index(index_file) @@ -308,6 +309,8 @@ async def prepare_archival_index_from_files_compute_embeddings( f.write("\n") # make the faiss index + import faiss + index = faiss.IndexFlatL2(1536) data = np.array(embedding_data).astype("float32") try: diff --git a/poetry.lock b/poetry.lock index 982683f9e1..946ec31211 100644 --- a/poetry.lock +++ b/poetry.lock @@ -209,7 +209,7 @@ name = "black" version = "23.10.1" description = "The uncompromising code formatter." category = "main" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "black-23.10.1-cp310-cp310-macosx_10_16_arm64.whl", hash = "sha256:ec3f8e6234c4e46ff9e16d9ae96f4ef69fa328bb4ad08198c8cee45bb1f08c69"}, @@ -259,6 +259,18 @@ files = [ {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"}, ] +[[package]] +name = "cfgv" +version = "3.4.0" +description = "Validate configuration and produce human readable error messages." +category = "main" +optional = false +python-versions = ">=3.8" +files = [ + {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"}, + {file = 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(!=2.5.0)", "faiss-cpu"] +sagemaker = ["sagemaker (>=2.31.0)"] +sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"] +serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"] +sigopt = ["sigopt"] +sklearn = ["scikit-learn"] +speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"] +tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"] +tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"] +tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] +timm = ["timm"] +tokenizers = ["tokenizers (>=0.14,<0.15)"] +torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"] +torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] +torch-vision = ["Pillow (<10.0.0)", "torchvision"] +torchhub = ["filelock", "huggingface-hub (>=0.16.4,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"] +video = ["av (==9.2.0)", "decord (==0.6.0)"] +vision = ["Pillow (<10.0.0)"] + [[package]] name = "typer" version = "0.9.0" @@ -2409,6 +2963,27 @@ brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotl secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] +[[package]] +name = "virtualenv" +version = "20.24.6" +description = "Virtual Python Environment builder" +category = "main" +optional = false +python-versions = ">=3.7" +files = [ + {file = "virtualenv-20.24.6-py3-none-any.whl", hash = "sha256:520d056652454c5098a00c0f073611ccbea4c79089331f60bf9d7ba247bb7381"}, + {file = "virtualenv-20.24.6.tar.gz", hash = "sha256:02ece4f56fbf939dbbc33c0715159951d6bf14aaf5457b092e4548e1382455af"}, +] + +[package.dependencies] +distlib = ">=0.3.7,<1" +filelock = ">=3.12.2,<4" +platformdirs = ">=3.9.1,<4" + +[package.extras] +docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] +test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] + [[package]] name = "wcwidth" version = "0.2.9" @@ -2511,7 +3086,7 @@ name = "xxhash" version = "3.4.1" description = "Python binding for xxHash" category = "main" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "xxhash-3.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:91dbfa55346ad3e18e738742236554531a621042e419b70ad8f3c1d9c7a16e7f"}, @@ -2712,7 +3287,13 @@ files = [ idna = ">=2.0" multidict = ">=4.0" +[extras] +dev = ["black", "pytest"] +legacy = ["faiss-cpu", "numpy"] +local = ["huggingface-hub", "torch", "transformers"] +postgres = ["pgvector", "psycopg", "psycopg-binary", "psycopg2-binary"] + [metadata] lock-version = "2.0" python-versions = "<3.12,>=3.9" -content-hash = "abe2ac60310fb50945a1c4df18fa3fb70a3e7d86886b448726dec49f01e8af7d" +content-hash = "8228e631e8105969212b018382e2b86c9ab58171239c2bcc97b11235c8b071c0" diff --git a/pyproject.toml b/pyproject.toml index c679dd5289..88644ba603 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,22 +25,31 @@ questionary = "^2.0.1" demjson3 = "^3.0.6" numpy = "^1.26.1" pytz = "^2023.3.post1" -faiss-cpu = "^1.7.4" +faiss-cpu = { version = "^1.7.4", optional = true } tiktoken = "^0.5.1" pymupdf = "^1.23.5" tqdm = "^4.66.1" openai = "^0.28.1" -black = "^23.10.1" -pytest = "^7.4.3" +black = { version = "^23.10.1", optional = true } +pytest = { version = "^7.4.3", optional = true } llama-index = "^0.8.53.post3" setuptools = "^68.2.2" -datasets = "^2.14.6" +datasets = { version = "^2.14.6", optional = true} prettytable = "^3.9.0" -pgvector = "^0.2.3" -psycopg = "^3.1.12" -psycopg-binary = "^3.1.12" -psycopg2-binary = "^2.9.9" +pgvector = { version = "^0.2.3", optional = true } +psycopg = { version = "^3.1.12", optional = true } +psycopg-binary = { version = "^3.1.12", optional = true } +psycopg2-binary = { version = "^2.9.9", optional = true } +torch = { version = "2.1.0", optional = true } +huggingface-hub = { version = "0.17.3", optional = true } +transformers = { version = "4.34.1", optional = true } +pre-commit = {version = "^3.5.0", optional = true } +[tool.poetry.extras] +legacy = ["faiss-cpu", "numpy"] +local = ["torch", "huggingface-hub", "transformers"] +postgres = ["pgvector", "psycopg", "psycopg-binary", "psycopg2-binary"] +dev = ["pytest", "black", "pre-commit", "datasets"] [build-system] requires = ["poetry-core"]