Add nomic embedding model provider (#8640)

api/core/model_runtime/model_providers/nomic/_assets/icon_l_en.svg

@@ -0,0 +1,13 @@
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+<path d="M56 1H91" stroke="#3C593D" stroke-linecap="round" stroke-dasharray="0.1 2"/>
+</svg>

api/core/model_runtime/model_providers/nomic/_common.py

@@ -0,0 +1,28 @@
+from core.model_runtime.errors.invoke import (
+    InvokeAuthorizationError,
+    InvokeBadRequestError,
+    InvokeConnectionError,
+    InvokeError,
+    InvokeRateLimitError,
+    InvokeServerUnavailableError,
+)
+
+
+class _CommonNomic:
+    @property
+    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
+        """
+        Map model invoke error to unified error
+        The key is the error type thrown to the caller
+        The value is the error type thrown by the model,
+        which needs to be converted into a unified error type for the caller.
+
+        :return: Invoke error mapping
+        """
+        return {
+            InvokeConnectionError: [InvokeConnectionError],
+            InvokeServerUnavailableError: [InvokeServerUnavailableError],
+            InvokeRateLimitError: [InvokeRateLimitError],
+            InvokeAuthorizationError: [InvokeAuthorizationError],
+            InvokeBadRequestError: [KeyError, InvokeBadRequestError],
+        }

api/core/model_runtime/model_providers/nomic/nomic.py

@@ -0,0 +1,26 @@
+import logging
+
+from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.model_providers.__base.model_provider import ModelProvider
+
+logger = logging.getLogger(__name__)
+
+
+class NomicAtlasProvider(ModelProvider):
+    def validate_provider_credentials(self, credentials: dict) -> None:
+        """
+        Validate provider credentials
+
+        if validate failed, raise exception
+
+        :param credentials: provider credentials, credentials form defined in `provider_credential_schema`.
+        """
+        try:
+            model_instance = self.get_model_instance(ModelType.TEXT_EMBEDDING)
+            model_instance.validate_credentials(model="nomic-embed-text-v1.5", credentials=credentials)
+        except CredentialsValidateFailedError as ex:
+            raise ex
+        except Exception as ex:
+            logger.exception(f"{self.get_provider_schema().provider} credentials validate failed")
+            raise ex

api/core/model_runtime/model_providers/nomic/nomic.yaml

@@ -0,0 +1,29 @@
+provider: nomic
+label:
+  zh_Hans: Nomic Atlas
+  en_US: Nomic Atlas
+icon_small:
+  en_US: icon_s_en.png
+icon_large:
+  en_US: icon_l_en.svg
+background: "#EFF1FE"
+help:
+  title:
+    en_US: Get your API key from Nomic Atlas
+    zh_Hans: 从Nomic Atlas获取 API Key
+  url:
+    en_US: https://atlas.nomic.ai/data
+supported_model_types:
+  - text-embedding
+configurate_methods:
+  - predefined-model
+provider_credential_schema:
+  credential_form_schemas:
+    - variable: nomic_api_key
+      label:
+        en_US: API Key
+      type: secret-input
+      required: true
+      placeholder:
+        zh_Hans: 在此输入您的 API Key
+        en_US: Enter your API Key

api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.5.yaml

@@ -0,0 +1,8 @@
+model: nomic-embed-text-v1.5
+model_type: text-embedding
+model_properties:
+  context_size: 8192
+pricing:
+  input: "0.1"
+  unit: "0.000001"
+  currency: USD

api/core/model_runtime/model_providers/nomic/text_embedding/nomic-embed-text-v1.yaml

@@ -0,0 +1,8 @@
+model: nomic-embed-text-v1
+model_type: text-embedding
+model_properties:
+  context_size: 8192
+pricing:
+  input: "0.1"
+  unit: "0.000001"
+  currency: USD

api/core/model_runtime/model_providers/nomic/text_embedding/text_embedding.py

@@ -0,0 +1,170 @@
+import time
+from functools import wraps
+from typing import Optional
+
+from nomic import embed
+from nomic import login as nomic_login
+
+from core.model_runtime.entities.model_entities import PriceType
+from core.model_runtime.entities.text_embedding_entities import (
+    EmbeddingUsage,
+    TextEmbeddingResult,
+)
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.model_providers.__base.text_embedding_model import (
+    TextEmbeddingModel,
+)
+from core.model_runtime.model_providers.nomic._common import _CommonNomic
+
+
+def nomic_login_required(func):
+    @wraps(func)
+    def wrapper(*args, **kwargs):
+        try:
+            if not kwargs.get("credentials"):
+                raise ValueError("missing credentials parameters")
+            credentials = kwargs.get("credentials")
+            if "nomic_api_key" not in credentials:
+                raise ValueError("missing nomic_api_key in credentials parameters")
+            # nomic login
+            nomic_login(credentials["nomic_api_key"])
+        except Exception as ex:
+            raise CredentialsValidateFailedError(str(ex))
+        return func(*args, **kwargs)
+
+    return wrapper
+
+
+class NomicTextEmbeddingModel(_CommonNomic, TextEmbeddingModel):
+    """
+    Model class for nomic text embedding model.
+    """
+
+    def _invoke(
+        self,
+        model: str,
+        credentials: dict,
+        texts: list[str],
+        user: Optional[str] = None,
+    ) -> TextEmbeddingResult:
+        """
+        Invoke text embedding model
+
+        :param model: model name
+        :param credentials: model credentials
+        :param texts: texts to embed
+        :param user: unique user id
+        :return: embeddings result
+        """
+        embeddings, prompt_tokens, total_tokens = self.embed_text(
+            model=model,
+            credentials=credentials,
+            texts=texts,
+        )
+
+        # calc usage
+        usage = self._calc_response_usage(
+            model=model, credentials=credentials, tokens=prompt_tokens, total_tokens=total_tokens
+        )
+        return TextEmbeddingResult(embeddings=embeddings, usage=usage, model=model)
+
+    def get_num_tokens(self, model: str, credentials: dict, texts: list[str]) -> int:
+        """
+        Get number of tokens for given prompt messages
+
+        :param model: model name
+        :param credentials: model credentials
+        :param texts: texts to embed
+        :return:
+        """
+        if len(texts) == 0:
+            return 0
+
+        _, prompt_tokens, _ = self.embed_text(
+            model=model,
+            credentials=credentials,
+            texts=texts,
+        )
+        return prompt_tokens
+
+    def validate_credentials(self, model: str, credentials: dict) -> None:
+        """
+        Validate model credentials
+
+        :param model: model name
+        :param credentials: model credentials
+        :return:
+        """
+        try:
+            # call embedding model
+            self.embed_text(model=model, credentials=credentials, texts=["ping"])
+        except Exception as ex:
+            raise CredentialsValidateFailedError(str(ex))
+
+    @nomic_login_required
+    def embed_text(self, model: str, credentials: dict, texts: list[str]) -> tuple[list[list[float]], int, int]:
+        """Call out to Nomic's embedding endpoint.
+
+        Args:
+            model: The model to use for embedding.
+            texts: The list of texts to embed.
+
+        Returns:
+            List of embeddings, one for each text, and tokens usage.
+        """
+        embeddings: list[list[float]] = []
+        prompt_tokens = 0
+        total_tokens = 0
+
+        response = embed.text(
+            model=model,
+            texts=texts,
+        )
+
+        if not (response and "embeddings" in response):
+            raise ValueError("Embedding data is missing in the response.")
+
+        if not (response and "usage" in response):
+            raise ValueError("Response usage is missing.")
+
+        if "prompt_tokens" not in response["usage"]:
+            raise ValueError("Response usage does not contain prompt tokens.")
+
+        if "total_tokens" not in response["usage"]:
+            raise ValueError("Response usage does not contain total tokens.")
+
+        embeddings = [list(map(float, e)) for e in response["embeddings"]]
+        total_tokens = response["usage"]["total_tokens"]
+        prompt_tokens = response["usage"]["prompt_tokens"]
+        return embeddings, prompt_tokens, total_tokens
+
+    def _calc_response_usage(self, model: str, credentials: dict, tokens: int, total_tokens: int) -> EmbeddingUsage:
+        """
+        Calculate response usage
+
+        :param model: model name
+        :param credentials: model credentials
+        :param tokens: prompt tokens
+        :param total_tokens: total tokens
+        :return: usage
+        """
+        # get input price info
+        input_price_info = self.get_price(
+            model=model,
+            credentials=credentials,
+            price_type=PriceType.INPUT,
+            tokens=tokens,
+        )
+
+        # transform usage
+        usage = EmbeddingUsage(
+            tokens=tokens,
+            total_tokens=total_tokens,
+            unit_price=input_price_info.unit_price,
+            price_unit=input_price_info.unit,
+            total_price=input_price_info.total_amount,
+            currency=input_price_info.currency,
+            latency=time.perf_counter() - self.started_at,
+        )
+
+        return usage

api/poetry.lock

@@ -4135,6 +4135,20 @@ files = [
     {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
 ]
 
+[[package]]
+name = "jsonlines"
+version = "4.0.0"
+description = "Library with helpers for the jsonlines file format"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "jsonlines-4.0.0-py3-none-any.whl", hash = "sha256:185b334ff2ca5a91362993f42e83588a360cf95ce4b71a73548502bda52a7c55"},
+    {file = "jsonlines-4.0.0.tar.gz", hash = "sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74"},
+]
+
+[package.dependencies]
+attrs = ">=19.2.0"
+
 [[package]]
 name = "jsonpath-ng"
 version = "1.6.1"
@@ -4469,6 +4483,24 @@ files = [
     {file = "llvmlite-0.43.0.tar.gz", hash = "sha256:ae2b5b5c3ef67354824fb75517c8db5fbe93bc02cd9671f3c62271626bc041d5"},
 ]
 
+[[package]]
+name = "loguru"
+version = "0.7.2"
+description = "Python logging made (stupidly) simple"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "loguru-0.7.2-py3-none-any.whl", hash = "sha256:003d71e3d3ed35f0f8984898359d65b79e5b21943f78af86aa5491210429b8eb"},
+    {file = "loguru-0.7.2.tar.gz", hash = "sha256:e671a53522515f34fd406340ee968cb9ecafbc4b36c679da03c18fd8d0bd51ac"},
+]
+
+[package.dependencies]
+colorama = {version = ">=0.3.4", markers = "sys_platform == \"win32\""}
+win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""}
+
+[package.extras]
+dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptiongroup (==1.1.3)", "freezegun (==1.1.0)", "freezegun (==1.2.2)", "mypy (==v0.910)", "mypy (==v0.971)", "mypy (==v1.4.1)", "mypy (==v1.5.1)", "pre-commit (==3.4.0)", "pytest (==6.1.2)", "pytest (==7.4.0)", "pytest-cov (==2.12.1)", "pytest-cov (==4.1.0)", "pytest-mypy-plugins (==1.9.3)", "pytest-mypy-plugins (==3.0.0)", "sphinx-autobuild (==2021.3.14)", "sphinx-rtd-theme (==1.3.0)", "tox (==3.27.1)", "tox (==4.11.0)"]
+
 [[package]]
 name = "lxml"
 version = "5.3.0"
@@ -5320,6 +5352,36 @@ plot = ["matplotlib"]
 tgrep = ["pyparsing"]
 twitter = ["twython"]
 
+[[package]]
+name = "nomic"
+version = "3.1.2"
+description = "The official Nomic python client."
+optional = false
+python-versions = "*"
+files = [
+    {file = "nomic-3.1.2.tar.gz", hash = "sha256:2de1ab1dcf2429011c92987bb2f1eafe1a3a4901c3185b18f994bf89616f606d"},
+]
+
+[package.dependencies]
+click = "*"
+jsonlines = "*"
+loguru = "*"
+numpy = "*"
+pandas = "*"
+pillow = "*"
+pyarrow = "*"
+pydantic = "*"
+pyjwt = "*"
+requests = "*"
+rich = "*"
+tqdm = "*"
+
+[package.extras]
+all = ["nomic[aws,local]"]
+aws = ["boto3", "sagemaker"]
+dev = ["black (==24.3.0)", "cairosvg", "coverage", "isort", "mkautodoc", "mkdocs-jupyter", "mkdocs-material", "mkdocstrings[python]", "myst-parser", "nomic[all]", "pandas", "pillow", "pylint", "pyright", "pytest", "pytorch-lightning", "twine"]
+local = ["gpt4all (>=2.5.0,<3)"]
+
 [[package]]
 name = "novita-client"
 version = "0.5.7"
@@ -9919,6 +9981,20 @@ files = [
 beautifulsoup4 = "*"
 requests = ">=2.0.0,<3.0.0"
 
+[[package]]
+name = "win32-setctime"
+version = "1.1.0"
+description = "A small Python utility to set file creation time on Windows"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "win32_setctime-1.1.0-py3-none-any.whl", hash = "sha256:231db239e959c2fe7eb1d7dc129f11172354f98361c4fa2d6d2d7e278baa8aad"},
+    {file = "win32_setctime-1.1.0.tar.gz", hash = "sha256:15cf5750465118d6929ae4de4eb46e8edae9a5634350c01ba582df868e932cb2"},
+]
+
+[package.extras]
+dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"]
+
 [[package]]
 name = "wrapt"
 version = "1.16.0"
@@ -10422,4 +10498,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.13"
-content-hash = "eb7ef7be5c7790e214f37f17f92b69407ad557cb80055ef7e49e36eb51b3fca6"
+content-hash = "17c4108d92c415d987f8b437ea3e0484c5601a05bfe175339a8546c93c159bc5"

api/pyproject.toml

@@ -100,6 +100,7 @@ exclude = [
 OPENAI_API_KEY = "sk-IamNotARealKeyJustForMockTestKawaiiiiiiiiii"
 UPSTAGE_API_KEY = "up-aaaaaaaaaaaaaaaaaaaa"
 FIREWORKS_API_KEY = "fw_aaaaaaaaaaaaaaaaaaaa"
+NOMIC_API_KEY = "nk-aaaaaaaaaaaaaaaaaaaa"
 AZURE_OPENAI_API_BASE = "https://difyai-openai.openai.azure.com"
 AZURE_OPENAI_API_KEY = "xxxxb1707exxxxxxxxxxaaxxxxxf94"
 ANTHROPIC_API_KEY = "sk-ant-api11-IamNotARealKeyJustForMockTestKawaiiiiiiiiii-NotBaka-ASkksz"
@@ -217,6 +218,7 @@ azure-ai-inference = "^1.0.0b3"
 volcengine-python-sdk = {extras = ["ark"], version = "^1.0.98"}
 oci = "^2.133.0"
 tos = "^2.7.1"
+nomic = "^3.1.2"
 [tool.poetry.group.indriect.dependencies]
 kaleido = "0.2.1"
 rank-bm25 = "~0.2.2"

api/tests/integration_tests/model_runtime/__mock/nomic_embeddings.py

@@ -0,0 +1,59 @@
+import os
+from collections.abc import Callable
+from typing import Any, Literal, Union
+
+import pytest
+
+# import monkeypatch
+from _pytest.monkeypatch import MonkeyPatch
+from nomic import embed
+
+
+def create_embedding(texts: list[str], model: str, **kwargs: Any) -> dict:
+    texts_len = len(texts)
+
+    foo_embedding_sample = 0.123456
+
+    combined = {
+        "embeddings": [[foo_embedding_sample for _ in range(768)] for _ in range(texts_len)],
+        "usage": {"prompt_tokens": texts_len, "total_tokens": texts_len},
+        "model": model,
+        "inference_mode": "remote",
+    }
+
+    return combined
+
+
+def mock_nomic(
+    monkeypatch: MonkeyPatch,
+    methods: list[Literal["text_embedding"]],
+) -> Callable[[], None]:
+    """
+    mock nomic module
+
+    :param monkeypatch: pytest monkeypatch fixture
+    :return: unpatch function
+    """
+
+    def unpatch() -> None:
+        monkeypatch.undo()
+
+    if "text_embedding" in methods:
+        monkeypatch.setattr(embed, "text", create_embedding)
+
+    return unpatch
+
+
+MOCK = os.getenv("MOCK_SWITCH", "false").lower() == "true"
+
+
+@pytest.fixture
+def setup_nomic_mock(request, monkeypatch):
+    methods = request.param if hasattr(request, "param") else []
+    if MOCK:
+        unpatch = mock_nomic(monkeypatch, methods=methods)
+
+    yield
+
+    if MOCK:
+        unpatch()

api/tests/integration_tests/model_runtime/nomic/test_embeddings.py

@@ -0,0 +1,62 @@
+import os
+
+import pytest
+
+from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.model_providers.nomic.text_embedding.text_embedding import NomicTextEmbeddingModel
+from tests.integration_tests.model_runtime.__mock.nomic_embeddings import setup_nomic_mock
+
+
+@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True)
+def test_validate_credentials(setup_nomic_mock):
+    model = NomicTextEmbeddingModel()
+
+    with pytest.raises(CredentialsValidateFailedError):
+        model.validate_credentials(
+            model="nomic-embed-text-v1.5",
+            credentials={
+                "nomic_api_key": "invalid_key",
+            },
+        )
+
+    model.validate_credentials(
+        model="nomic-embed-text-v1.5",
+        credentials={
+            "nomic_api_key": os.environ.get("NOMIC_API_KEY"),
+        },
+    )
+
+
+@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True)
+def test_invoke_model(setup_nomic_mock):
+    model = NomicTextEmbeddingModel()
+
+    result = model.invoke(
+        model="nomic-embed-text-v1.5",
+        credentials={
+            "nomic_api_key": os.environ.get("NOMIC_API_KEY"),
+        },
+        texts=["hello", "world"],
+        user="foo",
+    )
+
+    assert isinstance(result, TextEmbeddingResult)
+    assert result.model == "nomic-embed-text-v1.5"
+    assert len(result.embeddings) == 2
+    assert result.usage.total_tokens == 2
+
+
+@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True)
+def test_get_num_tokens(setup_nomic_mock):
+    model = NomicTextEmbeddingModel()
+
+    num_tokens = model.get_num_tokens(
+        model="nomic-embed-text-v1.5",
+        credentials={
+            "nomic_api_key": os.environ.get("NOMIC_API_KEY"),
+        },
+        texts=["hello", "world"],
+    )
+
+    assert num_tokens == 2

api/tests/integration_tests/model_runtime/nomic/test_provider.py

@@ -0,0 +1,22 @@
+import os
+
+import pytest
+
+from core.model_runtime.errors.validate import CredentialsValidateFailedError
+from core.model_runtime.model_providers.nomic.nomic import NomicAtlasProvider
+from core.model_runtime.model_providers.nomic.text_embedding.text_embedding import NomicTextEmbeddingModel
+from tests.integration_tests.model_runtime.__mock.nomic_embeddings import setup_nomic_mock
+
+
+@pytest.mark.parametrize("setup_nomic_mock", [["text_embedding"]], indirect=True)
+def test_validate_provider_credentials(setup_nomic_mock):
+    provider = NomicAtlasProvider()
+
+    with pytest.raises(CredentialsValidateFailedError):
+        provider.validate_provider_credentials(credentials={})
+
+    provider.validate_provider_credentials(
+        credentials={
+            "nomic_api_key": os.environ.get("NOMIC_API_KEY"),
+        },
+    )

dev/pytest/pytest_model_runtime.sh

@@ -7,4 +7,5 @@ pytest api/tests/integration_tests/model_runtime/anthropic \
   api/tests/integration_tests/model_runtime/google api/tests/integration_tests/model_runtime/xinference \
   api/tests/integration_tests/model_runtime/huggingface_hub/test_llm.py \
   api/tests/integration_tests/model_runtime/upstage \
-  api/tests/integration_tests/model_runtime/fireworks
+  api/tests/integration_tests/model_runtime/fireworks \
+  api/tests/integration_tests/model_runtime/nomic