From 5d1b4a2905a6b5b1c47fa4dd430a124b15c07a10 Mon Sep 17 00:00:00 2001 From: asher Date: Fri, 3 Jan 2025 18:07:21 +0800 Subject: [PATCH 1/3] update anthropic --- camel/utils/token_counting.py | 6 +- examples/models/role_playing_with_claude.py | 2 +- poetry.lock | 363 +++++++------------- pyproject.toml | 2 +- 4 files changed, 138 insertions(+), 235 deletions(-) diff --git a/camel/utils/token_counting.py b/camel/utils/token_counting.py index f797a4d18f..28399fe3f1 100644 --- a/camel/utils/token_counting.py +++ b/camel/utils/token_counting.py @@ -253,11 +253,11 @@ def count_tokens_from_messages(self, messages: List[OpenAIMessage]) -> int: Returns: int: Number of tokens in the messages. """ - from anthropic.types.beta import BetaMessageParam + from anthropic.types import MessageParam - return self.client.beta.messages.count_tokens( + return self.client.messages.count_tokens( messages=[ - BetaMessageParam( + MessageParam( content=str(msg["content"]), role="user" if msg["role"] == "user" else "assistant", ) diff --git a/examples/models/role_playing_with_claude.py b/examples/models/role_playing_with_claude.py index b367d0f906..9a7bd031e7 100644 --- a/examples/models/role_playing_with_claude.py +++ b/examples/models/role_playing_with_claude.py @@ -100,4 +100,4 @@ def main(model_type=None) -> None: if __name__ == "__main__": - main(model_type=ModelType.CLAUDE_2_0) + main(model_type=ModelType.CLAUDE_3_5_SONNET) diff --git a/poetry.lock b/poetry.lock index 7a417e68bc..933b123e38 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "accelerate" @@ -310,13 +310,13 @@ files = [ [[package]] name = "anthropic" -version = "0.40.0" +version = "0.41.0" description = "The official Python library for the anthropic API" optional = true python-versions = ">=3.8" files = [ - {file = "anthropic-0.40.0-py3-none-any.whl", hash = "sha256:442028ae8790ff9e3b6f8912043918755af1230d193904ae2ef78cc22995280c"}, - {file = "anthropic-0.40.0.tar.gz", hash = "sha256:3efeca6d9e97813f93ed34322c6c7ea2279bf0824cd0aa71b59ce222665e2b87"}, + {file = "anthropic-0.41.0-py3-none-any.whl", hash = "sha256:ab64e1e94568bd4db92183e7e839858c3c38d5dacb3976719078312ff5e4e1f8"}, + {file = "anthropic-0.41.0.tar.gz", hash = "sha256:41ba533ac1969f7b60ee59bcdf37bc012eee2397725fb14a64b9f2acb9ab2f2a"}, ] [package.dependencies] @@ -326,7 +326,7 @@ httpx = ">=0.23.0,<1" jiter = ">=0.4.0,<1" pydantic = ">=1.9.0,<3" sniffio = "*" -typing-extensions = ">=4.7,<5" +typing-extensions = ">=4.10,<5" [package.extras] bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"] @@ -772,6 +772,7 @@ files = [ ] [package.dependencies] +tinycss2 = {version = ">=1.1.0,<1.5", optional = true, markers = "extra == \"css\""} webencodings = "*" [package.extras] @@ -779,13 +780,13 @@ css = ["tinycss2 (>=1.1.0,<1.5)"] [[package]] name = "botocore" -version = "1.35.90" +version = "1.35.91" description = "Low-level, data-driven core of boto 3." optional = true python-versions = ">=3.8" files = [ - {file = "botocore-1.35.90-py3-none-any.whl", hash = "sha256:51dcbe1b32e2ac43dac17091f401a00ce5939f76afe999081802009cce1e92e4"}, - {file = "botocore-1.35.90.tar.gz", hash = "sha256:f007f58e8e3c1ad0412a6ddfae40ed92a7bca571c068cb959902bcf107f2ae48"}, + {file = "botocore-1.35.91-py3-none-any.whl", hash = "sha256:93de9d0f52f7e36a2c190d55520d3b2654f32c5a628fdd484bffa00bc7865e1d"}, + {file = "botocore-1.35.91.tar.gz", hash = "sha256:7b0b9c5954701fff4d2c516918f45641b04ff4ca92bbd9f5b37c0b80f8c14220"}, ] [package.dependencies] @@ -2594,13 +2595,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"] [[package]] name = "google-api-python-client" -version = "2.156.0" +version = "2.157.0" description = "Google API Client Library for Python" optional = true python-versions = ">=3.7" files = [ - {file = "google_api_python_client-2.156.0-py2.py3-none-any.whl", hash = "sha256:6352185c505e1f311f11b0b96c1b636dcb0fec82cd04b80ac5a671ac4dcab339"}, - {file = "google_api_python_client-2.156.0.tar.gz", hash = "sha256:b809c111ded61716a9c1c7936e6899053f13bae3defcdfda904bd2ca68065b9c"}, + {file = "google_api_python_client-2.157.0-py2.py3-none-any.whl", hash = "sha256:0b0231db106324c659bf8b85f390391c00da57a60ebc4271e33def7aac198c75"}, + {file = "google_api_python_client-2.157.0.tar.gz", hash = "sha256:2ee342d0967ad1cedec43ccd7699671d94bff151e1f06833ea81303f9a6d86fd"}, ] [package.dependencies] @@ -4017,13 +4018,13 @@ pydantic = "*" [[package]] name = "litellm" -version = "1.56.6" +version = "1.56.8" description = "Library to easily interface with LLM API providers" optional = true python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8" files = [ - {file = "litellm-1.56.6-py3-none-any.whl", hash = "sha256:dc04becae6b09b401edfc13e9e648443e425a52c1d7217351c7841811dc8dbec"}, - {file = "litellm-1.56.6.tar.gz", hash = "sha256:24612fff40f31044257c16bc29aa086cbb084b830e427a19f4adb96deeea626d"}, + {file = "litellm-1.56.8-py3-none-any.whl", hash = "sha256:b72b33dd32645079ac669b590a88d06cb177b6b71d72b051444be98221572e51"}, + {file = "litellm-1.56.8.tar.gz", hash = "sha256:189b039a0dd295fd5e59164cb1d4e28fac887f351e6e35d0129761fab7471458"}, ] [package.dependencies] @@ -4437,6 +4438,7 @@ python-versions = ">=3.7" files = [ {file = "milvus_lite-2.4.11-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9e563ae0dca1b41bfd76b90f06b2bcc474460fe4eba142c9bab18d2747ff843b"}, {file = "milvus_lite-2.4.11-py3-none-macosx_11_0_arm64.whl", hash = "sha256:d21472bd24eb327542817829ce7cb51878318e6173c4d62353c77421aecf98d6"}, + {file = "milvus_lite-2.4.11-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8e6ef27f7f84976f9fd0047b675ede746db2e0cc581c44a916ac9e71e0cef05d"}, {file = "milvus_lite-2.4.11-py3-none-manylinux2014_x86_64.whl", hash = "sha256:551f56b49fcfbb330b658b4a3c56ed29ba9b692ec201edd1f2dade7f5e39957d"}, ] @@ -4889,18 +4891,18 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>= [[package]] name = "nbconvert" -version = "7.16.4" +version = "7.16.5" description = "Converting Jupyter Notebooks (.ipynb files) to other formats. 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++++++++++++++++++++-------------------- pyproject.toml | 2 +- 3 files changed, 70 insertions(+), 72 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index d39a63a2fe..f8adc2e1e4 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,6 +1,6 @@ repos: - repo: https://github.com/astral-sh/ruff-pre-commit - rev: 'v0.3.5' + rev: 'v0.7' hooks: - id: ruff args: [--fix, --exit-non-zero-on-fix, --show-fixes] diff --git a/poetry.lock b/poetry.lock index a50017eb8c..52e04d6c28 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 1.8.5 and should not be changed by hand. 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"scikit-umfpack", "threadpoolctl"] [[package]] name = "secretstorage" @@ -11785,4 +11783,4 @@ vector-databases = ["pymilvus", "qdrant-client"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.13" -content-hash = "2aad9f0503b8184816e562fabfe5148804a9fa785ac5352af1326e155cd66400" +content-hash = "8694cd326b155a88056930def90a3c0ef8691e1261e2766c157bd0ac38a36222" diff --git a/pyproject.toml b/pyproject.toml index 9c56e090d8..0cc1cac518 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -48,7 +48,7 @@ litellm = { version = "^1.38.1", optional = true } google-generativeai = { version = "^0.6.0", optional = true } mistralai = { version = "^1.1.0", optional = true } reka-api = { version = "^3.0.8", optional = true } -anthropic = { version = "0.42.0", optional = true } +anthropic = { version = "^0.42.0", optional = true } cohere = { version = "^5.11.0", optional = true } fish-audio-sdk = { version = "^2024.12.5", optional = true } sglang = { version = "^0.4.0", optional = true } From 3758c894ff3fd7a791f03c598e01b66c0b612748 Mon Sep 17 00:00:00 2001 From: Wendong Date: Sun, 5 Jan 2025 02:13:32 +0800 Subject: [PATCH 3/3] fix wd --- camel/configs/anthropic_config.py | 32 ++++++++++++++++--------------- camel/models/anthropic_model.py | 23 +--------------------- 2 files changed, 18 insertions(+), 37 deletions(-) diff --git a/camel/configs/anthropic_config.py b/camel/configs/anthropic_config.py index e6a8a8756a..115e40207e 100644 --- a/camel/configs/anthropic_config.py +++ b/camel/configs/anthropic_config.py @@ -13,10 +13,10 @@ # ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. ========= from __future__ import annotations -from typing import List, Union +from typing import Any, ClassVar, List, Union from camel.configs.base_config import BaseConfig -from camel.types import NOT_GIVEN, NotGiven +from camel.types import NotGiven class AnthropicConfig(BaseConfig): @@ -29,41 +29,43 @@ class AnthropicConfig(BaseConfig): generate before stopping. Note that Anthropic models may stop before reaching this maximum. This parameter only specifies the absolute maximum number of tokens to generate. - (default: :obj:`256`) + (default: :obj:`8192`) stop_sequences (List[str], optional): Sequences that will cause the model to stop generating completion text. Anthropic models stop on "\n\nHuman:", and may include additional built-in stop sequences in the future. By providing the stop_sequences parameter, you may include additional strings that will cause the model to stop - generating. + generating. (default: :obj:`[]`) temperature (float, optional): Amount of randomness injected into the response. Defaults to 1. Ranges from 0 to 1. Use temp closer to 0 for analytical / multiple choice, and closer to 1 for creative - and generative tasks. - (default: :obj:`1`) + and generative tasks. (default: :obj:`1`) top_p (float, optional): Use nucleus sampling. In nucleus sampling, we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by `top_p`. You should either alter `temperature` or `top_p`, - but not both. - (default: :obj:`0.7`) + but not both. (default: :obj:`0.7`) top_k (int, optional): Only sample from the top K options for each subsequent token. Used to remove "long tail" low probability - responses. - (default: :obj:`5`) + responses. (default: :obj:`5`) metadata: An object describing metadata about the request. stream (bool, optional): Whether to incrementally stream the response using server-sent events. (default: :obj:`False`) """ - max_tokens: int = 256 - stop_sequences: Union[List[str], NotGiven] = NOT_GIVEN + max_tokens: int = 8192 + stop_sequences: ClassVar[Union[List[str], NotGiven]] = [] temperature: float = 1 - top_p: Union[float, NotGiven] = NOT_GIVEN - top_k: Union[int, NotGiven] = NOT_GIVEN - metadata: NotGiven = NOT_GIVEN + top_p: Union[float, NotGiven] = 0.7 + top_k: Union[int, NotGiven] = 5 stream: bool = False + def as_dict(self) -> dict[str, Any]: + config_dict = super().as_dict() + if "tools" in config_dict: + del config_dict["tools"] # TODO: Support tool calling. + return config_dict + ANTHROPIC_API_PARAMS = {param for param in AnthropicConfig.model_fields.keys()} diff --git a/camel/models/anthropic_model.py b/camel/models/anthropic_model.py index 27d5ff16a2..dee6ec67f6 100644 --- a/camel/models/anthropic_model.py +++ b/camel/models/anthropic_model.py @@ -12,7 +12,7 @@ # limitations under the License. # ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. ========= import os -from typing import Any, Dict, List, Literal, Optional, Union +from typing import Any, Dict, List, Optional, Union from camel.configs import ANTHROPIC_API_PARAMS, AnthropicConfig from camel.messages import OpenAIMessage @@ -102,27 +102,6 @@ def token_counter(self) -> BaseTokenCounter: self._token_counter = AnthropicTokenCounter(self.model_type) return self._token_counter - @dependencies_required('anthropic') - def count_tokens_from_prompt( - self, prompt: str, role: Literal["user", "assistant"] - ) -> int: - r"""Count the number of tokens from a prompt. - - Args: - prompt (str): The prompt string. - role (Literal["user", "assistant"]): The role of the message - sender, either "user" or "assistant". - - Returns: - int: The number of tokens in the prompt. - """ - from anthropic.types.beta import BetaMessageParam - - return self.client.beta.messages.count_tokens( - messages=[BetaMessageParam(content=prompt, role=role)], - model=self.model_type, - ).input_tokens - def run( self, messages: List[OpenAIMessage],