From 97ef8ba02220adeec780561b254827f9a05bab6e Mon Sep 17 00:00:00 2001 From: Sarah Wooders Date: Tue, 4 Jun 2024 20:49:20 -0700 Subject: [PATCH] feat: Ollama embeddings api + Ollama tests (#1433) Co-authored-by: Krishna Mandal --- .github/workflows/test_ollama.yml | 38 + .github/workflows/tests.yml | 3 +- .gitignore | 2 +- configs/embedding_model_configs/ollama.json | 7 + configs/llm_model_configs/ollama.json | 6 + memgpt/cli/cli_config.py | 36 + memgpt/embeddings.py | 14 + poetry.lock | 1766 +++++++++---------- pyproject.toml | 5 +- tests/test_endpoints.py | 10 + 10 files changed, 964 insertions(+), 923 deletions(-) create mode 100644 .github/workflows/test_ollama.yml create mode 100644 configs/embedding_model_configs/ollama.json create mode 100644 configs/llm_model_configs/ollama.json diff --git a/.github/workflows/test_ollama.yml b/.github/workflows/test_ollama.yml new file mode 100644 index 00000000..449979e0 --- /dev/null +++ b/.github/workflows/test_ollama.yml @@ -0,0 +1,38 @@ +name: Endpoint (Ollama) + +on: + push: + branches: [ main ] + pull_request: + branches: [ main ] + +jobs: + test: + runs-on: ubuntu-latest + timeout-minutes: 15 + steps: + - name: Checkout + uses: actions/checkout@v4 + + - name: Start Ollama Server + run: | + curl -fsSL https://ollama.com/install.sh | sh + ollama serve & + sleep 10 # wait for server + ollama pull dolphin2.2-mistral:7b-q6_K + ollama pull mxbai-embed-large + + - name: "Setup Python, Poetry and Dependencies" + uses: packetcoders/action-setup-cache-python-poetry@main + with: + python-version: "3.12" + poetry-version: "1.8.2" + install-args: "-E dev -E ollama" + + - name: Test LLM endpoint + run: | + poetry run pytest -s -vv tests/test_endpoints.py::test_llm_endpoint_ollama + + - name: Test embedding endpoint + run: | + poetry run pytest -s -vv tests/test_endpoints.py::test_embedding_endpoint_ollama diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 6bacc04b..480fe138 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -28,8 +28,7 @@ jobs: install-args: "-E dev -E postgres -E milvus" - name: Initialize credentials - run: | - poetry run memgpt quickstart --backend memgpt + run: poetry run memgpt quickstart --backend memgpt #- name: Run docker compose server # env: diff --git a/.gitignore b/.gitignore index f2330e9d..3243c0a5 100644 --- a/.gitignore +++ b/.gitignore @@ -1015,4 +1015,4 @@ pgdata/ ## pytest mirrors memgpt/.pytest_cache/ -memgpy/pytest.ini +memgpy/pytest.ini diff --git a/configs/embedding_model_configs/ollama.json b/configs/embedding_model_configs/ollama.json new file mode 100644 index 00000000..84ad72f6 --- /dev/null +++ b/configs/embedding_model_configs/ollama.json @@ -0,0 +1,7 @@ +{ + "embedding_endpoint_type": "ollama", + "embedding_endpoint": "http://127.0.0.1:11434", + "embedding_model": "mxbai-embed-large", + "embedding_dim": 512, + "embedding_chunk_size": 200 +} diff --git a/configs/llm_model_configs/ollama.json b/configs/llm_model_configs/ollama.json new file mode 100644 index 00000000..d18a4e77 --- /dev/null +++ b/configs/llm_model_configs/ollama.json @@ -0,0 +1,6 @@ +{ + "context_window": 8192, + "model_endpoint_type": "ollama", + "model_endpoint": "http://127.0.0.1:11434", + "model": "dolphin2.2-mistral:7b-q6_K" +} diff --git a/memgpt/cli/cli_config.py b/memgpt/cli/cli_config.py index b29381e9..6e320518 100644 --- a/memgpt/cli/cli_config.py +++ b/memgpt/cli/cli_config.py @@ -866,6 +866,42 @@ def configure_embedding_endpoint(config: MemGPTConfig, credentials: MemGPTCreden embedding_dim = int(embedding_dim) except Exception: raise ValueError(f"Failed to cast {embedding_dim} to integer.") + elif embedding_provider == "ollama": + # configure ollama embedding endpoint + embedding_endpoint_type = "ollama" + embedding_endpoint = "http://localhost:11434/api/embeddings" + # Source: https://github.com/ollama/ollama/blob/main/docs/api.md#generate-embeddings:~:text=http%3A//localhost%3A11434/api/embeddings + + # get endpoint (is this necessary?) + embedding_endpoint = questionary.text("Enter Ollama API endpoint:").ask() + if embedding_endpoint is None: + raise KeyboardInterrupt + while not utils.is_valid_url(embedding_endpoint): + typer.secho(f"Endpoint must be a valid address", fg=typer.colors.YELLOW) + embedding_endpoint = questionary.text("Enter Ollama API endpoint:").ask() + if embedding_endpoint is None: + raise KeyboardInterrupt + + # get model type + default_embedding_model = ( + config.default_embedding_config.embedding_model if config.default_embedding_config else "mxbai-embed-large" + ) + embedding_model = questionary.text( + "Enter Ollama model tag (e.g. mxbai-embed-large):", + default=default_embedding_model, + ).ask() + if embedding_model is None: + raise KeyboardInterrupt + + # get model dimensions + default_embedding_dim = config.default_embedding_config.embedding_dim if config.default_embedding_config else "512" + embedding_dim = questionary.text("Enter embedding model dimensions (e.g. 512):", default=str(default_embedding_dim)).ask() + if embedding_dim is None: + raise KeyboardInterrupt + try: + embedding_dim = int(embedding_dim) + except Exception: + raise ValueError(f"Failed to cast {embedding_dim} to integer.") else: # local models embedding_endpoint_type = "local" embedding_endpoint = None diff --git a/memgpt/embeddings.py b/memgpt/embeddings.py index 1600df63..f49b3be2 100644 --- a/memgpt/embeddings.py +++ b/memgpt/embeddings.py @@ -199,6 +199,20 @@ def embedding_model(config: EmbeddingConfig, user_id: Optional[uuid.UUID] = None base_url=config.embedding_endpoint, user=user_id, ) + elif endpoint_type == "ollama": + + from llama_index.embeddings.ollama import OllamaEmbedding + + ollama_additional_kwargs = {} + callback_manager = None + + model = OllamaEmbedding( + model_name=config.embedding_model, + base_url=config.embedding_endpoint, + ollama_additional_kwargs=ollama_additional_kwargs or {}, + callback_manager=callback_manager or None, + ) + return model else: return default_embedding_model() diff --git a/poetry.lock b/poetry.lock index b2fcde98..66f50255 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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[extras] autogen = ["pyautogen"] dev = ["autoflake", "black", "datasets", "isort", "pexpect", "pre-commit", "pyright", "pytest", "pytest-asyncio", "pytest-order"] local = ["llama-index-embeddings-huggingface"] milvus = ["pymilvus"] +ollama = ["llama-index-embeddings-ollama"] postgres = ["pg8000", "pgvector"] server = ["fastapi", "uvicorn", "websockets"] [metadata] lock-version = "2.0" python-versions = "<3.13,>=3.10" -content-hash = "3b09972bb581ee7efa283cf4d70be0ad2efd27314d974d7635f0c1f35a4b38f5" +content-hash = "7e6032228cb8050f8d5d99c589a1e922dfd6e0d1626589671d415e3b82fba67e" diff --git a/pyproject.toml b/pyproject.toml index 308aa8f1..30035916 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -35,7 +35,7 @@ numpy = "^1.26.2" demjson3 = "^3.0.6" tiktoken = "^0.5.1" pyyaml = "^6.0.1" -chromadb = "^0.4.18" +chromadb = "^0.5.0" sqlalchemy-json = "^0.7.0" fastapi = {version = "^0.104.1", optional = true} uvicorn = {version = "^0.24.0.post1", optional = true} @@ -62,6 +62,8 @@ pytest = { version = "^7.4.4", optional = true } pydantic-settings = "^2.2.1" httpx-sse = "^0.4.0" isort = { version = "^5.13.2", optional = true } +llama-index-embeddings-ollama = {version = "^0.1.2", optional = true} +protobuf = "3.20.0" [tool.poetry.extras] local = ["llama-index-embeddings-huggingface"] @@ -70,6 +72,7 @@ milvus = ["pymilvus"] dev = ["pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "datasets", "pyright", "pytest-order", "autoflake", "isort"] server = ["websockets", "fastapi", "uvicorn"] autogen = ["pyautogen"] +ollama = ["llama-index-embeddings-ollama"] [tool.black] line-length = 140 diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py index d1862833..b48d30df 100644 --- a/tests/test_endpoints.py +++ b/tests/test_endpoints.py @@ -83,3 +83,13 @@ def test_embedding_endpoint_memgpt_hosted(): def test_embedding_endpoint_local(): filename = os.path.join(embedding_config_dir, "local.json") run_embedding_endpoint(filename) + + +def test_llm_endpoint_ollama(): + filename = os.path.join(llm_config_dir, "ollama.json") + run_llm_endpoint(filename) + + +def test_embedding_endpoint_ollama(): + filename = os.path.join(embedding_config_dir, "ollama.json") + run_embedding_endpoint(filename)