diff --git a/CHANGELOG.md b/CHANGELOG.md index a8d6002e13..17ffaf6836 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,6 +9,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Native function calling support to `OpenAiChatPromptDriver`, `AzureOpenAiChatPromptDriver`, `AnthropicPromptDriver`, `AmazonBedrockPromptDriver`, `GooglePromptDriver`, and `CoherePromptDriver`. - `OllamaEmbeddingDriver` for generating embeddings with Ollama. - `GriptapeCloudKnowledgeBaseVectorStoreDriver` to query Griptape Cloud Knowledge Bases. +- `RouteLLMPromptDriver` for using RouteLLM to route between a strong Prompt Driver and weak Prompt Driver. ### Changed diff --git a/docs/griptape-framework/drivers/prompt-drivers.md b/docs/griptape-framework/drivers/prompt-drivers.md index bc6142d3d6..7929b3d342 100644 --- a/docs/griptape-framework/drivers/prompt-drivers.md +++ b/docs/griptape-framework/drivers/prompt-drivers.md @@ -447,3 +447,37 @@ agent = Agent( agent.run("What is a good lasagna recipe?") ``` + +### RouteLLM + +!!! info + This driver requires the `drivers-prompt-routellm` [extra](../index.md#extras). + +The [RouteLLMPromptDriver](../../reference/griptape/drivers/prompt/routellm_prompt_driver.md) uses [RouteLLM](https://github.com/lm-sys/RouteLLM) to route between a strong Prompt Driver and a weak Prompt Driver. + +```python title="PYTEST_IGNORE" +from griptape.structures import Agent +from griptape.drivers import ( + RouteLlmPromptDriver, + OpenAiChatPromptDriver, + OllamaPromptDriver, +) + + +agent = Agent( + prompt_driver=RouteLlmPromptDriver( + max_attempts=2, + strong_prompt_driver=OpenAiChatPromptDriver( + model="gpt-4o", + ), + weak_prompt_driver=OllamaPromptDriver( + model="llama3", + ), + threshold=0.11593 + ), +) + + +agent.run("Hello!") # Will be routed to the weak prompt driver +agent.run("What is the square root of 1,787,569?") # Will be routed to the strong prompt driver +``` diff --git a/griptape/drivers/__init__.py b/griptape/drivers/__init__.py index 4ecb6c9bd8..707be8c1d9 100644 --- a/griptape/drivers/__init__.py +++ b/griptape/drivers/__init__.py @@ -10,6 +10,7 @@ from .prompt.google_prompt_driver import GooglePromptDriver from .prompt.dummy_prompt_driver import DummyPromptDriver from .prompt.ollama_prompt_driver import OllamaPromptDriver +from .prompt.routellm_prompt_driver import RouteLlmPromptDriver from .memory.conversation.base_conversation_memory_driver import BaseConversationMemoryDriver from .memory.conversation.local_conversation_memory_driver import LocalConversationMemoryDriver @@ -122,6 +123,7 @@ "GooglePromptDriver", "DummyPromptDriver", "OllamaPromptDriver", + "RouteLlmPromptDriver", "BaseConversationMemoryDriver", "LocalConversationMemoryDriver", "AmazonDynamoDbConversationMemoryDriver", diff --git a/griptape/drivers/prompt/routellm_prompt_driver.py b/griptape/drivers/prompt/routellm_prompt_driver.py new file mode 100644 index 0000000000..11e7307b96 --- /dev/null +++ b/griptape/drivers/prompt/routellm_prompt_driver.py @@ -0,0 +1,103 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +from attrs import Factory, define, field + +from griptape.drivers import BasePromptDriver +from griptape.tokenizers.dummy_tokenizer import DummyTokenizer +from griptape.utils.import_utils import import_optional_dependency + +if TYPE_CHECKING: + from collections.abc import Iterator + + from routellm.controller import Controller + + from griptape.common import ( + DeltaMessage, + Message, + PromptStack, + ) + from griptape.tokenizers import BaseTokenizer + + +@define +class RouteLlmPromptDriver(BasePromptDriver): + """[RouteLlm](https://github.com/lm-sys/RouteLLM) Prompt Driver. + + Attributes: + strong_prompt_driver: Prompt Driver to use when routing to the strong model. + weak_prompt_driver: Prompt Driver to use when routing to the weak model. + threshold: Cost threshold when routing between models. + router: Router to use, defaults to "mf". + client: RouteLlm Controller. + tokenizer: Tokenizer to use, defaults to DummyTokenizer. After running, it will be set to the tokenizer of the routed prompt driver. + """ + + model: str = field(init=False, default=None) + strong_prompt_driver: BasePromptDriver = field( + kw_only=True, + metadata={"serializable": False}, + ) + weak_prompt_driver: BasePromptDriver = field( + kw_only=True, + metadata={"serializable": False}, + ) + router: str = field(kw_only=True, default="mf", metadata={"serializable": True}) + threshold: float = field(kw_only=True, metadata={"serializable": True}) + client: Controller = field( + kw_only=True, + default=Factory( + lambda self: import_optional_dependency("routellm.controller").Controller( + routers=[self.router], + strong_model=self.strong_prompt_driver.model, + weak_model=self.weak_prompt_driver.model, + ), + takes_self=True, + ), + metadata={"serializable": False}, + ) + tokenizer: BaseTokenizer = field( + init=False, + default=Factory( + lambda: DummyTokenizer(), + ), + kw_only=True, + ) + + def try_run(self, prompt_stack: PromptStack) -> Message: + prompt_driver = self._get_prompt_driver(prompt_stack) + + return prompt_driver.try_run(prompt_stack) + + def try_stream(self, prompt_stack: PromptStack) -> Iterator[DeltaMessage]: + prompt_driver = self._get_prompt_driver(prompt_stack) + + return prompt_driver.try_stream(prompt_stack) + + def _get_prompt_driver(self, prompt_stack: PromptStack) -> BasePromptDriver: + if prompt_stack.messages: + prompt = prompt_stack.messages[-1].value + else: + raise ValueError("Prompt stack is empty.") + + if isinstance(prompt, str): + routed_model = self.client.route( + prompt=prompt, + router=self.router, + threshold=self.threshold, + ) + else: + raise ValueError("Prompt must be a string.") + + if routed_model == self.strong_prompt_driver.model: + prompt_driver = self.strong_prompt_driver + elif routed_model == self.weak_prompt_driver.model: + prompt_driver = self.weak_prompt_driver + else: + raise ValueError(f"Model '{routed_model}' not found.") + + self.model = prompt_driver.model + self.tokenizer = prompt_driver.tokenizer + + return prompt_driver diff --git a/poetry.lock b/poetry.lock index 8e11c84e50..91d0be341c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -121,6 +121,17 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" +[[package]] +name = "annotated-types" +version = "0.7.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +files = [ + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, +] + [[package]] name = "anthropic" version = "0.29.0" @@ -720,8 +731,8 @@ files = [ jmespath = ">=0.7.1,<2.0.0" python-dateutil = ">=2.1,<3.0.0" urllib3 = [ - {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""}, {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}, + {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""}, ] [package.extras] @@ -1124,6 +1135,50 @@ ssh = ["bcrypt (>=3.1.5)"] test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"] test-randomorder = ["pytest-randomly"] +[[package]] +name = "datasets" +version = "2.20.0" +description = "HuggingFace community-driven open-source library of datasets" +optional = true +python-versions = ">=3.8.0" +files = [ + {file = "datasets-2.20.0-py3-none-any.whl", hash = "sha256:76ac02e3bdfff824492e20678f0b6b1b6d080515957fe834b00c2ba8d6b18e5e"}, + {file = "datasets-2.20.0.tar.gz", hash = "sha256:3c4dbcd27e0f642b9d41d20ff2efa721a5e04b32b2ca4009e0fc9139e324553f"}, +] + +[package.dependencies] +aiohttp = "*" +dill = ">=0.3.0,<0.3.9" +filelock = "*" +fsspec = {version = ">=2023.1.0,<=2024.5.0", extras = ["http"]} +huggingface-hub = ">=0.21.2" +multiprocess = "*" +numpy = ">=1.17" +packaging = "*" +pandas = "*" +pyarrow = ">=15.0.0" +pyarrow-hotfix = "*" +pyyaml = ">=5.1" +requests = ">=2.32.2" +tqdm = ">=4.66.3" +xxhash = "*" + +[package.extras] +apache-beam = ["apache-beam (>=2.26.0)"] +audio = ["librosa", "soundfile (>=0.12.1)"] +benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"] +dev = ["Pillow (>=9.4.0)", "absl-py", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"] +docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"] +jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"] +metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score 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"elevenlabs", "filetype", "google-generativeai", "mail-parser", "markdownify", "marqo", "ollama", "opensearch-py", "pandas", "pgvector", "pillow", "pinecone-client", "playwright", "psycopg2-binary", "pusher", "pymongo", "pypdf", "qdrant-client", "redis", "snowflake-sqlalchemy", "sqlalchemy-redshift", "torch", "trafilatura", "transformers", "voyageai"] +all = ["anthropic", "beautifulsoup4", "boto3", "cohere", "duckduckgo-search", "elevenlabs", "filetype", "google-generativeai", "mail-parser", "markdownify", "marqo", "ollama", "opensearch-py", "pandas", "pgvector", "pillow", "pinecone-client", "playwright", "psycopg2-binary", "pusher", "pymongo", "pypdf", "qdrant-client", "redis", "routellm", "snowflake-sqlalchemy", "sqlalchemy-redshift", "torch", "trafilatura", "transformers", "voyageai"] drivers-embedding-amazon-bedrock = ["boto3"] drivers-embedding-amazon-sagemaker = ["boto3"] drivers-embedding-cohere = ["cohere"] @@ -6485,6 +7019,7 @@ drivers-prompt-google = ["google-generativeai"] drivers-prompt-huggingface = ["huggingface-hub", "transformers"] drivers-prompt-huggingface-pipeline = ["huggingface-hub", "torch", "transformers"] drivers-prompt-ollama = ["ollama"] +drivers-prompt-routellm = ["pydantic", "routellm"] drivers-rerank-cohere = ["cohere"] drivers-sql-postgres = ["pgvector", "psycopg2-binary"] drivers-sql-redshift = ["boto3", "sqlalchemy-redshift"] @@ -6509,4 +7044,4 @@ loaders-pdf = ["pypdf"] [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "09d5503da93cfcba7fdb3cc462395d5a2754bace3cee33feef9002b5904d5493" +content-hash = "49e1872b6d1a47a95340250328ca5ef5ff883abcf62e19319ad48c92fd6d6d66" diff --git a/pyproject.toml b/pyproject.toml index 2e094141a6..2829b8a3d5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,7 +23,7 @@ rich = ">=13" schema = ">=0.7" pyyaml = ">=6" tenacity = ">=8.0" -numpy = ">=1" +numpy = "^1.26.4" stringcase = "^1.2.0" docker = "^7.1.0" sqlalchemy = "~=1.0" @@ -56,6 +56,8 @@ qdrant-client = { version = 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index 0000000000..7b7144ce5d --- /dev/null +++ b/tests/unit/drivers/prompt/test_route_prompt_driver.py @@ -0,0 +1,110 @@ +import pytest + +from griptape.artifacts import ImageArtifact, ListArtifact, TextArtifact +from griptape.common import PromptStack +from griptape.common.prompt_stack.contents.text_delta_message_content import TextDeltaMessageContent +from griptape.drivers import RouteLlmPromptDriver +from tests.mocks.mock_prompt_driver import MockPromptDriver + + +class TestRouteLlmPromptDriver: + @pytest.fixture + def mock_client(self, mocker): + mock_client = mocker.patch("routellm.controller.Controller") + + def side_effect(prompt, router, threshold) -> str: + return "strong-model" if prompt == "strong-input" else "weak-model" + + mock_client.return_value.route.side_effect = side_effect + + return mock_client + + @pytest.fixture + def mock_stream_client(self, mocker): + mock_client = mocker.patch("routellm.controller.Controller") + + def side_effect(prompt, router, threshold) -> str: + return "strong-model" if prompt == "strong-input" else "weak-model" + + mock_client.return_value.route.side_effect = side_effect + + return mock_client + + def test_init(self): + assert RouteLlmPromptDriver( + threshold=0.5, + strong_prompt_driver=MockPromptDriver(model="strong-model", mock_output="strong-output"), + weak_prompt_driver=MockPromptDriver(model="weak-model", mock_output="weak-output"), + ) + + @pytest.mark.parametrize( + "strong", + [(True), (False)], + ) + def test_try_run_strong_model(self, strong, mock_client): + # Given + driver = RouteLlmPromptDriver( + threshold=0.5, + strong_prompt_driver=MockPromptDriver(model="strong-model", mock_output="strong-output"), + weak_prompt_driver=MockPromptDriver(model="weak-model", mock_output="weak-output"), + ) + + prompt_stack = PromptStack() + if strong: + prompt_stack.add_user_message("strong-input") + else: + prompt_stack.add_user_message("weak-input") + + # When + message = driver.try_run(prompt_stack) + + # Then + mock_client.return_value.route.assert_called_once_with( + prompt=prompt_stack.messages[-1].value, + router=driver.router, + threshold=driver.threshold, + ) + if strong: + assert message.value == "strong-output" + assert driver.model == driver.strong_prompt_driver.model + assert driver.tokenizer == driver.strong_prompt_driver.tokenizer + else: + assert message.value == "weak-output" + assert driver.model == driver.weak_prompt_driver.model + assert driver.tokenizer == driver.weak_prompt_driver.tokenizer + + @pytest.mark.parametrize( + "strong", + [(True), (False)], + ) + def test_try_stream_run(self, strong, mock_stream_client): + # Given + driver = RouteLlmPromptDriver( + threshold=0.5, + strong_prompt_driver=MockPromptDriver(model="strong-model", mock_output="strong-output"), + weak_prompt_driver=MockPromptDriver(model="weak-model", mock_output="weak-output"), + ) + + prompt_stack = PromptStack() + if strong: + prompt_stack.add_user_message("strong-input") + else: + prompt_stack.add_user_message("weak-input") + + # When + message = driver.try_run(prompt_stack) + + # Then + mock_stream_client.return_value.route.assert_called_once_with( + prompt=prompt_stack.messages[-1].value, + router=driver.router, + threshold=driver.threshold, + ) + if strong: + assert message.value == "strong-output" + assert driver.model == driver.strong_prompt_driver.model + assert driver.tokenizer == driver.strong_prompt_driver.tokenizer + else: + assert message.value == "weak-output" + assert driver.model == driver.weak_prompt_driver.model + assert driver.tokenizer == driver.weak_prompt_driver.tokenizer