diff --git a/plugins/mistral/README.md b/plugins/mistral/README.md new file mode 100644 index 00000000..719ea5ea --- /dev/null +++ b/plugins/mistral/README.md @@ -0,0 +1 @@ +Plugin for models hosted on MistralAI. diff --git a/plugins/mistral/modelgauge/suts/mistral_client.py b/plugins/mistral/modelgauge/suts/mistral_client.py new file mode 100644 index 00000000..3c603c8c --- /dev/null +++ b/plugins/mistral/modelgauge/suts/mistral_client.py @@ -0,0 +1,66 @@ +from mistralai import Mistral + +from mistralai.models import HTTPValidationError, SDKError +from mistralai.utils import BackoffStrategy, RetryConfig + +from modelgauge.secret_values import RequiredSecret, SecretDescription + + +BACKOFF_INITIAL_MILLIS = 500 +BACKOFF_MAX_INTERVAL_MILLIS = 10_000 +BACKOFF_EXPONENT = 1.1 +BACKOFF_MAX_ELAPSED_MILLIS = 60_000 + + +class MistralAIAPIKey(RequiredSecret): + @classmethod + def description(cls) -> SecretDescription: + return SecretDescription( + scope="mistralai", + key="api_key", + instructions="MistralAI API key. See https://docs.mistral.ai/getting-started/quickstart/", + ) + + +class MistralAIClient: + def __init__( + self, + model_name: str, + api_key: MistralAIAPIKey, + ): + self.model_name = model_name + self.api_key = api_key.value + self._client = None + + @property + def client(self) -> Mistral: + if not self._client: + self._client = Mistral( + api_key=self.api_key, + retry_config=RetryConfig( + "backoff", + BackoffStrategy( + BACKOFF_INITIAL_MILLIS, + BACKOFF_MAX_INTERVAL_MILLIS, + BACKOFF_EXPONENT, + BACKOFF_MAX_INTERVAL_MILLIS, + ), + True, + ), + ) + return self._client + + def request(self, req: dict): + response = None + try: + response = self.client.chat.complete(**req) + return response + # TODO check if this actually happens + except HTTPValidationError as exc: + raise (exc) + # TODO check if the retry strategy takes care of this + except SDKError as exc: + raise (exc) + # TODO what else can happen? + except Exception as exc: + raise (exc) diff --git a/plugins/mistral/modelgauge/suts/mistral_sut.py b/plugins/mistral/modelgauge/suts/mistral_sut.py new file mode 100644 index 00000000..52c9cdbf --- /dev/null +++ b/plugins/mistral/modelgauge/suts/mistral_sut.py @@ -0,0 +1,89 @@ +from typing import Optional + +from mistralai.models import ChatCompletionResponse +from modelgauge.prompt import TextPrompt +from modelgauge.secret_values import InjectSecret +from modelgauge.sut import PromptResponseSUT, SUTCompletion, SUTResponse +from modelgauge.sut_capabilities import AcceptsTextPrompt +from modelgauge.sut_decorator import modelgauge_sut +from modelgauge.sut_registry import SUTS +from modelgauge.suts.mistral_client import MistralAIAPIKey, MistralAIClient + +from pydantic import BaseModel + +_USER_ROLE = "user" + + +class MistralAIRequest(BaseModel): + model: str + messages: list[dict] + temperature: Optional[float] = None + max_tokens: Optional[int] + + +class MistralAIResponse(ChatCompletionResponse): + """The ChatCompletionResponse class from Mistral matches our Response + objects now, but we subclass it for consistency and so we can adjust it + in case the upstream object changes.""" + + pass + + +@modelgauge_sut(capabilities=[AcceptsTextPrompt]) +class MistralAISut(PromptResponseSUT): + """A MistralAI SUT hosted on MistralAI.""" + + def __init__( + self, + uid: str, + model_name: str, + model_version: str, + api_key: MistralAIAPIKey, + ): + super().__init__(uid) + self.model_name = model_name + self.model_version = model_version + self._api_key = api_key + self._client = None + + @property + def client(self): + if not self._client: + self._client = MistralAIClient(self.model_name, self._api_key) + return self._client + + def translate_text_prompt(self, prompt: TextPrompt) -> MistralAIRequest: + args = {"model": self.model_name, "messages": [{"role": _USER_ROLE, "content": prompt.text}]} + if prompt.options.temperature is not None: + args["temperature"] = prompt.options.temperature + if prompt.options.max_tokens is not None: + args["max_tokens"] = prompt.options.max_tokens + return MistralAIRequest(**args) + + def evaluate(self, request: MistralAIRequest) -> ChatCompletionResponse: + response = self.client.request(request.model_dump(exclude_none=True)) # type: ignore + return response + + def translate_response(self, request: MistralAIRequest, response: MistralAIResponse) -> SUTResponse: + completions = [] + for choice in response.choices: + text = choice.message.content + assert text is not None + completions.append(SUTCompletion(text=str(text))) + return SUTResponse(completions=completions) + + +MISTRAL_API_KEY = InjectSecret(MistralAIAPIKey) + +model_name = "ministral-8b" +model_version = "2410" +model_full_name = "ministral-8b-latest" # Mistral's endpoint schema +model_uid = f"mistralai-{model_name}-{model_version}" +SUTS.register(MistralAISut, model_uid, model_full_name, model_version, MISTRAL_API_KEY) + + +model_name = "mistral-large" +model_version = "2411" +model_full_name = 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"typing-inspect" +version = "0.9.0" +description = "Runtime inspection utilities for typing module." +optional = false +python-versions = "*" +files = [ + {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"}, + {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"}, +] + +[package.dependencies] +mypy-extensions = ">=0.3.0" +typing-extensions = ">=3.7.4" + +[metadata] +lock-version = "2.0" +python-versions = "^3.10" +content-hash = "0b74f8ff79c12bc605805308eaef0cc9fb9fb86cf187f3723ed1d6997c0da508" diff --git a/plugins/mistral/pyproject.toml b/plugins/mistral/pyproject.toml new file mode 100644 index 00000000..908c7ac3 --- /dev/null +++ b/plugins/mistral/pyproject.toml @@ -0,0 +1,15 @@ +[tool.poetry] +name = "modelgauge-mistral" +version = "0.1.0" +description = "Mistral SUT" +authors = ["MLCommons AI Safety "] +readme = "README.md" +packages = [{include = "modelgauge"}] + +[tool.poetry.dependencies] +python = "^3.10" +mistralai = "^1.2.3" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/plugins/mistral/tests/test_mistral_sut.py b/plugins/mistral/tests/test_mistral_sut.py new file mode 100644 index 00000000..29a65ee9 --- /dev/null +++ b/plugins/mistral/tests/test_mistral_sut.py @@ -0,0 +1,57 @@ +import pytest +from mistralai.models import AssistantMessage, ChatCompletionChoice, UsageInfo +from modelgauge.prompt import SUTOptions, TextPrompt +from modelgauge.sut import SUTCompletion, SUTResponse +from modelgauge.suts.mistral_client import MistralAIAPIKey +from modelgauge.suts.mistral_sut import MistralAIResponse, MistralAISut + + +@pytest.fixture +def req(): + return { + "model": "ministral-8b-latest", + "messages": [{"role": "user", "content": "Why did the chicken cross the road?"}], + "max_tokens": 91, + "temperature": 0.3, + } + + +@pytest.fixture +def response(): + return MistralAIResponse( + id="ed6c8eccd53e4b319a7bc566f6a53357", + object="chat.completion", + model="ministral-8b-latest", + created=1731977771, + usage=UsageInfo(prompt_tokens=11, completion_tokens=22, total_tokens=33), + choices=[ + ChatCompletionChoice( + index=0, + message=AssistantMessage( + content="The classic joke has several variations", + tool_calls=None, + prefix=False, + role="assistant", + ), + finish_reason="stop", + ) + ], + ) + + +@pytest.fixture +def sut(): + return MistralAISut("ministral-8b-latest", "ministral-8b-latest", "latest", MistralAIAPIKey("fake")) + + +class TestMistralAISut: + + def test_request(self, sut, req): + translated_req = sut.translate_text_prompt( + TextPrompt(text="Why did the chicken cross the road?", options=SUTOptions(temperature=0.3, max_tokens=91)) + ) + assert translated_req.model_dump(exclude_none=True) == req + + def test_response(self, sut, req, response): + resp = sut.translate_response(request=req, response=response) + assert resp == SUTResponse(completions=[SUTCompletion(text="The classic joke has several variations")]) diff --git a/plugins/vertexai/README.md b/plugins/vertexai/README.md new file mode 100644 index 00000000..69157db9 --- /dev/null +++ b/plugins/vertexai/README.md @@ -0,0 +1 @@ +Plugin for Mistral models hosted on GCP VertexAI. diff --git a/plugins/vertexai/modelgauge/suts/vertexai_client.py b/plugins/vertexai/modelgauge/suts/vertexai_client.py new file mode 100644 index 00000000..3c775742 --- /dev/null +++ b/plugins/vertexai/modelgauge/suts/vertexai_client.py @@ -0,0 +1,80 @@ +import google.auth +import httpx +from google.auth.transport.requests import Request + +from modelgauge.secret_values import OptionalSecret, RequiredSecret, SecretDescription + + +class VertexAIProjectId(RequiredSecret): + @classmethod + def description(cls) -> SecretDescription: + return SecretDescription( + scope="vertexai", + key="project_id", + instructions="Your Google Cloud Platform project ID.", + ) + + +class VertexAIRegion(OptionalSecret): + @classmethod + def description(cls) -> SecretDescription: + return SecretDescription( + scope="vertexai", + key="region", + instructions="A Google Cloud Platform region.", + ) + + +class VertexAIClient: + def __init__( + self, + publisher: str, + model_name: str, + model_version: str, + streaming: bool, + project_id: VertexAIProjectId, + region: VertexAIRegion | str, + ): + self.publisher = publisher + self.model_name = model_name + self.model_version = model_version + self.project_id = project_id.value + self.streaming = streaming + if isinstance(region, str): + self.region = region + elif isinstance(region, VertexAIRegion): + self.region = region.value + else: + raise ValueError("Incorrect GCP region.") + + def _get_access_token(self) -> str: + credentials, _ = google.auth.default(scopes=["https://www.googleapis.com/auth/cloud-platform"]) + credentials.refresh(Request()) + return credentials.token + + def _build_endpoint_url(self) -> str: + base_url = f"https://{self.region}-aiplatform.googleapis.com/v1/" + project_fragment = f"projects/{self.project_id}" + location_fragment = f"locations/{self.region}" + specifier = "streamRawPredict" if self.streaming else "rawPredict" + model_fragment = f"publishers/{self.publisher}/models/{self.model_name}@{self.model_version}" + url = f"{base_url}{'/'.join([project_fragment, location_fragment, model_fragment])}:{specifier}" + return url + + def _headers(self): + headers = { + "Authorization": f"Bearer {self._get_access_token()}", + "Accept": "application/json", + } + return headers + + def request(self, req: dict) -> dict: + try: + client = httpx.Client() + response = client.post(self._build_endpoint_url(), json=req, headers=self._headers(), timeout=None) + if response.status_code == 200: + return response.json() + else: # TODO: add retry logic + raise RuntimeError(f"VertexAI response code {response.status_code}") + except Exception as exc: + raise diff --git a/plugins/vertexai/modelgauge/suts/vertexai_mistral_sut.py b/plugins/vertexai/modelgauge/suts/vertexai_mistral_sut.py new file mode 100644 index 00000000..6dd4b72d --- /dev/null +++ b/plugins/vertexai/modelgauge/suts/vertexai_mistral_sut.py @@ -0,0 +1,106 @@ +from typing import Dict, Optional + +from modelgauge.prompt import TextPrompt +from modelgauge.secret_values import InjectSecret +from modelgauge.sut import PromptResponseSUT, SUTCompletion, SUTResponse +from modelgauge.sut_capabilities import AcceptsTextPrompt +from modelgauge.sut_decorator import modelgauge_sut +from modelgauge.sut_registry import SUTS +from modelgauge.suts.vertexai_client import ( + VertexAIClient, + VertexAIProjectId, + VertexAIRegion, +) +from pydantic import BaseModel, ConfigDict + +_USER_ROLE = "user" + + +class VertexAIMistralRequest(BaseModel): + # https://docs.mistral.ai/deployment/cloud/vertex/ + model: str + messages: list[dict] + # TODO: to guard against defaults changing, we may want to make + # the following fields required, so the user/client is forced to + # affirmatively specify them (for reproducibility) + temperature: Optional[float] = None + response_format: Optional[Dict[str, str]] = None + safe_prompt: Optional[bool] = True + stream: Optional[bool] = False + n: int = 1 + max_tokens: Optional[int] + + +class VertexAIMistralResponse(BaseModel): + model_config = ConfigDict(extra="ignore") + + id: str + object: str + model: str + created: int + choices: list[Dict] + usage: Dict[str, int] + + +@modelgauge_sut(capabilities=[AcceptsTextPrompt]) +class VertexAIMistralAISut(PromptResponseSUT): + """A MistralAI SUT hosted on GCP's Vertex service.""" + + def __init__( + self, + uid: str, + model_name: str, + model_version: str, + project_id: VertexAIProjectId, + region: VertexAIRegion, + ): + super().__init__(uid) + self.model_name = model_name + self.model_version = model_version + self._project_id = project_id + self._region = region + self._client = None + + @property + def client(self) -> VertexAIClient: + if not self._client: + self._client = VertexAIClient( + publisher="mistralai", + model_name=self.model_name, + model_version=self.model_version, + streaming=False, + project_id=self._project_id, + region=self._region, + ) + return self._client + + def translate_text_prompt(self, prompt: TextPrompt) -> VertexAIMistralRequest: + args = {"model": self.model_name, "messages": [{"role": _USER_ROLE, "content": prompt.text}]} + if prompt.options.temperature is not None: + args["temperature"] = prompt.options.temperature + if prompt.options.max_tokens is not None: + args["max_tokens"] = prompt.options.max_tokens + return VertexAIMistralRequest(**args) + + def evaluate(self, request: VertexAIMistralRequest) -> VertexAIMistralResponse: + response = self.client.request(request.model_dump(exclude_none=True)) # type: ignore + return VertexAIMistralResponse(**response) + + def translate_response(self, request: VertexAIMistralRequest, response: VertexAIMistralResponse) -> SUTResponse: + completions = [] + for choice in response.choices: + text = choice["message"]["content"] + assert text is not None + completions.append(SUTCompletion(text=text)) + return SUTResponse(completions=completions) + + +VERTEX_PROJECT_ID = InjectSecret(VertexAIProjectId) +VERTEX_REGION = InjectSecret(VertexAIRegion) + +model_name = "mistral-large" +model_version = "2407" +model_uid = f"vertexai-{model_name}-{model_version}" +# If you prefer to use MistralAI, please see plugins/mistral +# Authentication required using https://cloud.google.com/docs/authentication/application-default-credentials +SUTS.register(VertexAIMistralAISut, model_uid, model_name, model_version, VERTEX_PROJECT_ID, VERTEX_REGION) diff --git a/plugins/vertexai/poetry.lock b/plugins/vertexai/poetry.lock new file mode 100644 index 00000000..ee2f0434 --- /dev/null +++ b/plugins/vertexai/poetry.lock @@ -0,0 +1,79 @@ +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. + +[[package]] +name = "cachetools" +version = "5.5.0" +description = "Extensible memoizing collections and decorators" +optional = false +python-versions = ">=3.7" +files = [ + {file = "cachetools-5.5.0-py3-none-any.whl", hash = "sha256:02134e8439cdc2ffb62023ce1debca2944c3f289d66bb17ead3ab3dede74b292"}, + {file = "cachetools-5.5.0.tar.gz", hash = "sha256:2cc24fb4cbe39633fb7badd9db9ca6295d766d9c2995f245725a46715d050f2a"}, +] + +[[package]] +name = "google-auth" +version = "2.36.0" +description = "Google Authentication Library" +optional = false +python-versions = ">=3.7" +files = [ + {file = "google_auth-2.36.0-py2.py3-none-any.whl", hash = "sha256:51a15d47028b66fd36e5c64a82d2d57480075bccc7da37cde257fc94177a61fb"}, + {file = "google_auth-2.36.0.tar.gz", hash = "sha256:545e9618f2df0bcbb7dcbc45a546485b1212624716975a1ea5ae8149ce769ab1"}, +] + +[package.dependencies] +cachetools = ">=2.0.0,<6.0" +pyasn1-modules = ">=0.2.1" +rsa = ">=3.1.4,<5" + +[package.extras] 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"sha256:49bfa96b45a292b711e986f222502c1c9a5e1f4e568fc30e2574a6c7d07838fd"}, + {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"}, +] + +[package.dependencies] +pyasn1 = ">=0.4.6,<0.7.0" + +[[package]] +name = "rsa" +version = "4.9" +description = "Pure-Python RSA implementation" +optional = false +python-versions = ">=3.6,<4" +files = [ + {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"}, + {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"}, +] + +[package.dependencies] +pyasn1 = ">=0.1.3" + +[metadata] +lock-version = "2.0" +python-versions = "^3.10" +content-hash = "f3b73acbd90a6b11a8a57c2fa0029aa08b5b213c883ab3e7caf41688d865ba4f" diff --git a/plugins/vertexai/pyproject.toml b/plugins/vertexai/pyproject.toml new file mode 100644 index 00000000..af37e434 --- /dev/null +++ b/plugins/vertexai/pyproject.toml @@ -0,0 +1,15 @@ +[tool.poetry] +name = "modelgauge-vertexai" +version = "0.1.0" +description = "Mistral SUT" +authors = ["MLCommons AI Safety "] +readme = "README.md" +packages = [{include = "modelgauge"}] + +[tool.poetry.dependencies] +python = "^3.10" +google-auth = "^2.36.0" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/plugins/vertexai/tests/test_vertexai_mistral_sut.py b/plugins/vertexai/tests/test_vertexai_mistral_sut.py new file mode 100644 index 00000000..1609342a --- /dev/null +++ b/plugins/vertexai/tests/test_vertexai_mistral_sut.py @@ -0,0 +1,68 @@ +import pytest +from modelgauge.prompt import SUTOptions, TextPrompt +from modelgauge.sut import SUTCompletion, SUTResponse +from modelgauge.suts.vertexai_client import VertexAIProjectId, VertexAIRegion +from modelgauge.suts.vertexai_mistral_sut import ( + VertexAIMistralAISut, + VertexAIMistralResponse, +) + + +@pytest.fixture +def req(): + return { + "model": "mistral-large", + "stream": False, + "messages": [{"role": "user", "content": "Why did the chicken cross the road?"}], + "n": 1, + "safe_prompt": True, + "max_tokens": 17, + "temperature": 0.5, + } + + +@pytest.fixture +def response(): + return VertexAIMistralResponse( + id="ed6c8eccd53e4b319a7bc566f6a53357", + object="chat.completion", + model="mistral-large", + created=1731977771, + choices=[ + { + "index": 0, + "message": { + "role": "assistant", + "content": "To get to the other side!", + "tool_calls": None, + }, + "finish_reason": "stop", + "logprobs": None, + } + ], + usage={"prompt_tokens": 11, "total_tokens": 62, "completion_tokens": 51}, + ) + + +@pytest.fixture +def sut(): + return VertexAIMistralAISut( + "vertexai-mistral-large-2407", + "mistral-large", + "2407", + project_id=VertexAIProjectId("fake"), + region=VertexAIRegion("us-central1"), + ) + + +class TestMistralAISut: + + def test_request(self, sut, req): + translated_req = sut.translate_text_prompt( + TextPrompt(text="Why did the chicken cross the road?", options=SUTOptions(temperature=0.5, max_tokens=17)) + ) + assert translated_req.model_dump(exclude_none=True) == req + + def test_response(self, sut, req, response): + resp = sut.translate_response(request=req, response=response) + assert resp == SUTResponse(completions=[SUTCompletion(text="To get to the other side!")]) diff --git a/poetry.lock b/poetry.lock index 55c98b55..e53d6298 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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= true} modelgauge_huggingface = {version = "*", optional = true} modelgauge_perspective_api = {version = "*", optional = true} modelgauge_google = {version = "*", optional = true} - +modelgauge_vertexai = {version = "*", optional = true} +modelgauge_mistral = {version = "*", optional = true} [tool.poetry.group.dev.dependencies] modelgauge_anthropic = {path = "plugins/anthropic", develop = true, optional=true} @@ -91,6 +92,9 @@ modelgauge_openai = {path = "plugins/openai", develop = true, optional=true} modelgauge_huggingface = {path = "plugins/huggingface", develop = true, optional=true} modelgauge_perspective_api = {path = "plugins/perspective_api", develop = true, optional=true} modelgauge_google = {path = "plugins/google", develop = true, optional=true} +modelgauge_vertexai = {path = "plugins/vertexai", develop = true, optional = true} +# named *mistral* rather than *mistralai* to prevent a conflict with the first-party mistralai package +modelgauge_mistral = {path = 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