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"sha256:65043a6718c97f7d52567cc0cdf41efbfc33b1f92c6c0c5e19f60a7ec69ae720"}, ] [[package]] @@ -4199,8 +4218,8 @@ description = "Typing stubs for requests" optional = false python-versions = ">=3.9" files = [ - { file = "types_requests-2.32.0.20250602-py3-none-any.whl", hash = "sha256:f4f335f87779b47ce10b8b8597b409130299f6971ead27fead4fe7ba6ea3e726" }, - { file = "types_requests-2.32.0.20250602.tar.gz", hash = "sha256:ee603aeefec42051195ae62ca7667cd909a2f8128fdf8aad9e8a5219ecfab3bf" }, + {file = "types_requests-2.32.0.20250602-py3-none-any.whl", hash = "sha256:f4f335f87779b47ce10b8b8597b409130299f6971ead27fead4fe7ba6ea3e726"}, + {file = "types_requests-2.32.0.20250602.tar.gz", hash = "sha256:ee603aeefec42051195ae62ca7667cd909a2f8128fdf8aad9e8a5219ecfab3bf"}, ] [package.dependencies] @@ -4213,8 +4232,8 @@ description = "Typing stubs for tqdm" optional = false python-versions = ">=3.9" files = [ - { file = "types_tqdm-4.67.0.20250516-py3-none-any.whl", hash = "sha256:1dd9b2c65273f2342f37e5179bc6982df86b6669b3376efc12aef0a29e35d36d" }, - { file = "types_tqdm-4.67.0.20250516.tar.gz", hash = "sha256:230ccab8a332d34f193fc007eb132a6ef54b4512452e718bf21ae0a7caeb5a6b" }, + {file = "types_tqdm-4.67.0.20250516-py3-none-any.whl", hash = "sha256:1dd9b2c65273f2342f37e5179bc6982df86b6669b3376efc12aef0a29e35d36d"}, + {file = "types_tqdm-4.67.0.20250516.tar.gz", hash = "sha256:230ccab8a332d34f193fc007eb132a6ef54b4512452e718bf21ae0a7caeb5a6b"}, ] [package.dependencies] @@ -4227,8 +4246,8 @@ description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" files = [ - { file = "typing_extensions-4.14.0-py3-none-any.whl", hash = "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af" }, - { file = "typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4" }, + {file = "typing_extensions-4.14.0-py3-none-any.whl", hash = "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af"}, + {file = "typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4"}, ] [[package]] @@ -4253,8 +4272,8 @@ description = "Runtime typing introspection tools" optional = false python-versions = ">=3.9" files = [ - { file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51" }, - { file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28" }, + {file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"}, + {file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"}, ] [package.dependencies] @@ -4267,8 +4286,8 @@ description = "Implementation of RFC 6570 URI Templates" optional = true python-versions = ">=3.9" files = [ - { file = "uritemplate-4.2.0-py3-none-any.whl", hash = "sha256:962201ba1c4edcab02e60f9a0d3821e82dfc5d2d6662a21abd533879bdb8a686" }, - { file = "uritemplate-4.2.0.tar.gz", hash = "sha256:480c2ed180878955863323eea31b0ede668795de182617fef9c6ca09e6ec9d0e" }, + {file = "uritemplate-4.2.0-py3-none-any.whl", hash = "sha256:962201ba1c4edcab02e60f9a0d3821e82dfc5d2d6662a21abd533879bdb8a686"}, + {file = "uritemplate-4.2.0.tar.gz", hash = "sha256:480c2ed180878955863323eea31b0ede668795de182617fef9c6ca09e6ec9d0e"}, ] [[package]] @@ -4579,8 +4598,8 @@ description = "Backport of pathlib-compatible object wrapper for zip files" optional = true python-versions = ">=3.9" files = [ - { file = "zipp-3.22.0-py3-none-any.whl", hash = "sha256:fe208f65f2aca48b81f9e6fd8cf7b8b32c26375266b009b413d45306b6148343" }, - { file = "zipp-3.22.0.tar.gz", hash = "sha256:dd2f28c3ce4bc67507bfd3781d21b7bb2be31103b51a4553ad7d90b84e57ace5" }, + {file = "zipp-3.22.0-py3-none-any.whl", hash = "sha256:fe208f65f2aca48b81f9e6fd8cf7b8b32c26375266b009b413d45306b6148343"}, + {file = "zipp-3.22.0.tar.gz", hash = "sha256:dd2f28c3ce4bc67507bfd3781d21b7bb2be31103b51a4553ad7d90b84e57ace5"}, ] [package.extras] @@ -4721,4 +4740,4 @@ vertexai = ["modelgauge_vertexai"] [metadata] lock-version = "2.0" python-versions = ">=3.10,!=3.12.5,<3.13" -content-hash = "0a0b186e363a9934097287744ba4a183fddf8b51201f028cf325fa4093acb698" +content-hash = "536b139eae3d53454dec07b984f84bd384d097350f4086884eb9d41408223b83" diff --git a/pyproject.toml b/pyproject.toml index ebed2d2d2..e376c226b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -89,6 +89,7 @@ modelgauge_vertexai = {path = "plugins/vertexai", develop = true, optional = tru modelgauge_mistral = {path = "plugins/mistral", develop = true, optional = true} modelgauge_amazon = {path = "plugins/amazon", develop = true, optional=true} prometheus-client = "^0.21.1" +llama-api-client = "^0.1.1" [tool.poetry.group.dev.dependencies] pytest-datafiles = "^3.0.0" diff --git a/src/modelgauge/suts/meta_llama_client.py b/src/modelgauge/suts/meta_llama_client.py new file mode 100644 index 000000000..0631ffcea --- /dev/null +++ b/src/modelgauge/suts/meta_llama_client.py @@ -0,0 +1,83 @@ +import logging +from typing import List, Optional + +import requests # type:ignore +from httpx import Timeout +from llama_api_client import LlamaAPIClient +from llama_api_client.types import CreateChatCompletionResponse, MessageTextContentItem +from pydantic import BaseModel +from requests.adapters import HTTPAdapter, Retry # type:ignore + +from modelgauge.prompt import TextPrompt +from modelgauge.retry_decorator import retry +from modelgauge.secret_values import InjectSecret, RequiredSecret, SecretDescription +from modelgauge.sut import ( + PromptResponseSUT, + SUTOptions, + SUTResponse, +) +from modelgauge.sut_capabilities import AcceptsTextPrompt +from modelgauge.sut_decorator import modelgauge_sut +from modelgauge.sut_registry import SUTS + +logger = logging.getLogger(__name__) + + +class MetaLlamaApiKey(RequiredSecret): + @classmethod + def description(cls) -> SecretDescription: + return SecretDescription( + scope="meta_llama", + key="api_key", + instructions="See https://llama.developer.meta.com/docs/api-keys/", + ) + + +class InputMessage(BaseModel): + role: str + content: str + + +class MetaLlamaChatRequest(BaseModel): + model: str + messages: List[InputMessage] + max_completion_tokens: Optional[int] = None + temperature: Optional[float] = None + + +@modelgauge_sut(capabilities=[AcceptsTextPrompt]) +class MetaLlamaSUT(PromptResponseSUT[MetaLlamaChatRequest, CreateChatCompletionResponse]): + + def __init__(self, uid: str, model: str, api_key: MetaLlamaApiKey): + super().__init__(uid) + self.model = model + self.client = LlamaAPIClient(api_key=api_key.value, max_retries=10, timeout=Timeout(120)) + + def translate_text_prompt(self, prompt: TextPrompt, options: SUTOptions) -> MetaLlamaChatRequest: + return MetaLlamaChatRequest( + model=self.model, + messages=[InputMessage(role="user", content=prompt.text)], + max_completion_tokens=options.max_tokens, + temperature=options.temperature, + ) + + @retry() # no obvious spurious exceptions in the code or so from some basic runs + def evaluate(self, request: MetaLlamaChatRequest) -> CreateChatCompletionResponse: + kwargs = request.model_dump(exclude_none=True) + return self.client.chat.completions.create(**kwargs) + + def translate_response(self, request: MetaLlamaChatRequest, response: CreateChatCompletionResponse) -> SUTResponse: + # type: ignore + assert isinstance( + response.completion_message.content, MessageTextContentItem + ), f"unexpected response: {response}" + text = response.completion_message.content.text + assert text is not None + return SUTResponse(text=text) + + +CHAT_MODELS = ["Llama-4-Scout-17B-16E-Instruct-FP8", "Llama-4-Maverick-17B-128E-Instruct-FP8", "Llama-3.3-8B-Instruct"] + +for model_name in CHAT_MODELS: + uid = "meta-" + model_name.lower() + "-llama" + SUTS.register(MetaLlamaSUT, uid, model_name, InjectSecret(MetaLlamaApiKey)) diff --git a/tests/modelgauge_tests/test_meta_llama.py b/tests/modelgauge_tests/test_meta_llama.py new file mode 100644 index 000000000..7950678ee --- /dev/null +++ b/tests/modelgauge_tests/test_meta_llama.py @@ -0,0 +1,90 @@ +from unittest.mock import MagicMock + +from llama_api_client.types import CreateChatCompletionResponse +from requests import HTTPError # type:ignore + +from modelgauge.prompt import TextPrompt +from modelgauge.sut import SUTResponse, SUTOptions +from modelgauge.suts.meta_llama_client import ( + MetaLlamaSUT, + MetaLlamaChatRequest, + InputMessage, + MetaLlamaApiKey, +) + +llama_chat_response_text = """ +{ + "completion_message": { + "role": "assistant", + "stop_reason": "stop", + "content": { + "type": "text", + "text": "The classic joke! There are many possible answers, but the most common one is: \\"To get to the other side!\\" Would you like to hear some variations or alternative punchlines?" + } + }, + "metrics": [ + { + "metric": "num_completion_tokens", + "value": 38, + "unit": "tokens" + }, + { + "metric": "num_prompt_tokens", + "value": 22, + "unit": "tokens" + }, + { + "metric": "num_total_tokens", + "value": 60, + "unit": "tokens" + } + ] +} +""" + + +def make_sut(): + return MetaLlamaSUT("ignored", "a_model", MetaLlamaApiKey("whatever")) + + +def test_translate_text_prompt(): + sut = make_sut() + sut_options = SUTOptions() + result = sut.translate_text_prompt(TextPrompt(text="Why did the chicken cross the road?"), sut_options) + assert result == MetaLlamaChatRequest( + model="a_model", + messages=[InputMessage(role="user", content="Why did the chicken cross the road?")], + max_completion_tokens=sut_options.max_tokens, + ) + + +def test_translate_chat_response(): + sut = make_sut() + request = MetaLlamaChatRequest( + model="a_model", + messages=[InputMessage(role="user", content="Why did the chicken cross the road?")], + ) + response = CreateChatCompletionResponse.model_validate_json(llama_chat_response_text) + result = sut.translate_response(request, response) + assert result == SUTResponse( + text='The classic joke! There are many possible answers, but the most common one is: "To get to the other side!" Would you like to hear some variations or alternative punchlines?' + ) + + +def test_evaluate(): + sut = make_sut() + request = MetaLlamaChatRequest( + model="a_model", + messages=[InputMessage(role="user", content="Why did the chicken cross the road?")], + max_completion_tokens=123, + ) + sut.client = MagicMock() + response = sut.evaluate(request) + assert sut.client.chat.completions.create.call_count == 1 + kwargs = sut.client.chat.completions.create.call_args.kwargs + print(kwargs) + assert kwargs["model"] == "a_model" + assert kwargs["messages"][0]["role"] == "user" + assert kwargs["messages"][0]["content"] == "Why did the chicken cross the road?" + assert kwargs["max_completion_tokens"] == 123 + assert "temperature" not in kwargs