From 3151eec804f00790e499cf2da051aed28a24a65c Mon Sep 17 00:00:00 2001 From: NeilJohnson0930 Date: Wed, 11 Sep 2024 21:24:41 +0800 Subject: [PATCH 01/15] feat: integrate model cohere --- camel/configs/__init__.py | 3 + camel/configs/cohere_config.py | 59 ++++++ camel/models/cohere_model.py | 207 ++++++++++++++++++++ camel/models/model_factory.py | 3 + camel/types/enums.py | 33 ++++ examples/models/cohere_model_example.py | 43 ++++ examples/models/role_playing_with_cohere.py | 144 ++++++++++++++ 7 files changed, 492 insertions(+) create mode 100644 camel/configs/cohere_config.py create mode 100644 camel/models/cohere_model.py create mode 100644 examples/models/cohere_model_example.py create mode 100644 examples/models/role_playing_with_cohere.py diff --git a/camel/configs/__init__.py b/camel/configs/__init__.py index 59ffda3977..68653cb1f7 100644 --- a/camel/configs/__init__.py +++ b/camel/configs/__init__.py @@ -13,6 +13,7 @@ # =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== from .anthropic_config import ANTHROPIC_API_PARAMS, AnthropicConfig from .base_config import BaseConfig +from .cohere_config import COHERE_API_PARAMS, CohereConfig from .gemini_config import Gemini_API_PARAMS, GeminiConfig from .groq_config import GROQ_API_PARAMS, GroqConfig from .litellm_config import LITELLM_API_PARAMS, LiteLLMConfig @@ -59,4 +60,6 @@ 'SAMBA_VERSE_API_PARAMS', 'TogetherAIConfig', 'TOGETHERAI_API_PARAMS', + 'CohereConfig', + 'COHERE_API_PARAMS', ] diff --git a/camel/configs/cohere_config.py b/camel/configs/cohere_config.py new file mode 100644 index 0000000000..75b961b666 --- /dev/null +++ b/camel/configs/cohere_config.py @@ -0,0 +1,59 @@ +# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== +# Licensed under the Apache License, Version 2.0 (the “License”); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an “AS IS” BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== +from __future__ import annotations + +from typing import Optional + +from pydantic import field_validator + +from camel.configs.base_config import BaseConfig + + +class CohereConfig(BaseConfig): + """Defines the parameters for generating chat completions using the + Cohere API. + + Args: + temperature (Optional[float]): Controls randomness in the model. + Values closer to 0 make the model more deterministic, while + values closer to 1 make it more random. Defaults to None. + p (Optional[float]): Sets a p% nucleus sampling threshold. + Defaults to None. + k (Optional[int]): Limits the number of tokens to sample from on + each step. Defaults to None. + max_tokens (Optional[int]): The maximum number of tokens to generate. + Defaults to None. + prompt_truncation (Optional[str]): How to truncate the prompt if it + exceeds the model's context length. Can be 'START', 'END', or + 'AUTO'. Defaults to None. + """ + + temperature: Optional[float] = None + p: Optional[float] = None + k: Optional[int] = None + max_tokens: Optional[int] = None + prompt_truncation: Optional[str] = None + + @field_validator("prompt_truncation") + @classmethod + def validate_prompt_truncation(cls, v): + if v is not None and v not in ['START', 'END', 'AUTO']: + raise ValueError("prompt_truncation must be 'START', 'END', or 'AUTO'") + return v + + def as_dict(self): + return {k: v for k, v in super().as_dict().items() if v is not None} + + +COHERE_API_PARAMS = {param for param in CohereConfig().model_fields.keys()} diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py new file mode 100644 index 0000000000..b210a5b0e6 --- /dev/null +++ b/camel/models/cohere_model.py @@ -0,0 +1,207 @@ +# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== +# Licensed under the Apache License, Version 2.0 (the “License”); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an “AS IS” BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== +import os +import logging +import uuid +from cohere.core.api_error import ApiError +from typing import TYPE_CHECKING, Any, Dict, List, Optional + +if TYPE_CHECKING: + from cohere.chat import ChatResponse + +from camel.configs import COHERE_API_PARAMS +from camel.messages import OpenAIMessage +from camel.models import BaseModelBackend +from camel.types import ChatCompletion, ModelType, ModelPlatformType +from camel.utils import ( + BaseTokenCounter, + OpenAITokenCounter, + api_keys_required, +) + +try: + import os + + if os.getenv("AGENTOPS_API_KEY") is not None: + from agentops import LLMEvent, record + else: + raise ImportError +except (ImportError, AttributeError): + LLMEvent = None + +class CohereModel(BaseModelBackend): + """Cohere API in a unified BaseModelBackend interface.""" + + def __init__( + self, + model_type: ModelType, + model_config_dict: Dict[str, Any], + api_key: Optional[str] = None, + token_counter: Optional[BaseTokenCounter] = None, + model_platform: Optional[ModelPlatformType] = None, + ): + super().__init__(model_type, model_config_dict, api_key, token_counter=token_counter) + self._api_key = api_key or os.environ.get("COHERE_API_KEY") + self.model_platform = model_platform + + print(f"API Key loaded: {'*' * (len(self._api_key) - 4) + self._api_key[-4:] if self._api_key else 'None'}") + + import cohere + self._client = cohere.Client(api_key=self._api_key) + self._token_counter: Optional[BaseTokenCounter] = None + + def _to_openai_response(self, response: 'ChatResponse') -> ChatCompletion: + unique_id = str(uuid.uuid4()) + + # Safely access nested attributes + def safe_get(obj, *keys): + for key in keys: + if isinstance(obj, dict): + obj = obj.get(key) + else: + obj = getattr(obj, key, None) + if obj is None: + return None + return obj + + obj = ChatCompletion.construct( + id=unique_id, + choices=[ + dict( + index=0, + message={ + "role": "assistant", + "content": response.text, + }, + finish_reason=safe_get(response, 'finish_reason'), + ) + ], + created=safe_get(response, 'meta', 'created_at'), + model=self.model_type.value, + object="chat.completion", + usage={ + "prompt_tokens": safe_get(response, 'meta', 'billed_tokens', 'prompt_tokens') or 0, + "completion_tokens": safe_get(response, 'meta', 'billed_tokens', 'completion_tokens') or 0, + "total_tokens": ( + (safe_get(response, 'meta', 'billed_tokens', 'prompt_tokens') or 0) + + (safe_get(response, 'meta', 'billed_tokens', 'completion_tokens') or 0) + ), + }, + ) + return obj + + + def _to_cohere_chatmessage(self, messages: List[OpenAIMessage]) -> List[Dict[str, str]]: + new_messages = [] + for msg in messages: + role = msg.get("role") + content = msg.get("content") + + if role == "user": + new_messages.append({"role": "User", "message": content}) + elif role == "assistant": + new_messages.append({"role": "Chatbot", "message": content}) + elif role == "system": + new_messages.append({"role": "System", "message": content}) + else: + raise ValueError(f"Unsupported message role: {role}") + + return new_messages + + @property + def token_counter(self) -> BaseTokenCounter: + """Initialize the token counter for the model backend. + + Returns: + BaseTokenCounter: The token counter following the model's + tokenization style. + """ + if not self._token_counter: + self._token_counter = OpenAITokenCounter( + model=ModelType.GPT_3_5_TURBO + ) + return self._token_counter + + @api_keys_required("COHERE_API_KEY") + def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: + """Runs inference of Cohere chat completion. + + Args: + messages (List[OpenAIMessage]): Message list with the chat history + in OpenAI API format. + + Returns: + ChatCompletion. + """ + cohere_messages = self._to_cohere_chatmessage(messages) + + # Filter out unsupported parameters + supported_params = { + 'temperature', 'p', 'k', 'max_tokens', 'prompt_truncation' + } + filtered_config = { + k: v for k, v in self.model_config_dict.items() + if k in supported_params + } + + try: + response = self._client.chat( + message=cohere_messages[-1]["message"], + chat_history=cohere_messages[:-1], + model=self.model_type.value, + **filtered_config, + ) + except ApiError as e: + logging.error(f"Cohere API Error: {e.status_code}") + logging.error(f"Error body: {e.body}") + raise + except Exception as e: + logging.error(f"Unexpected error when calling Cohere API: {str(e)}") + raise + + openai_response = self._to_openai_response(response) + + # Add AgentOps LLM Event tracking + if LLMEvent: + llm_event = LLMEvent( + thread_id=openai_response.id, + prompt=" ".join( + [message.get("content") for message in messages] + ), + prompt_tokens=openai_response.usage.prompt_tokens, + completion=openai_response.choices[0].message.content, + completion_tokens=openai_response.usage.completion_tokens, + model=self.model_type.value, + ) + record(llm_event) + + return openai_response + + def check_model_config(self): + """Check whether the model configuration contains any + unexpected arguments to Cohere API. + + Raises: + ValueError: If the model configuration dictionary contains any + unexpected arguments to Cohere API. + """ + supported_params = { + 'temperature', 'p', 'k', 'max_tokens', 'prompt_truncation' + } + for param in self.model_config_dict: + if param not in supported_params: + raise ValueError( + f"Unexpected argument `{param}` is " + "input into Cohere model backend." + ) diff --git a/camel/models/model_factory.py b/camel/models/model_factory.py index 34a0635adb..eef0c65cba 100644 --- a/camel/models/model_factory.py +++ b/camel/models/model_factory.py @@ -16,6 +16,7 @@ from camel.models.anthropic_model import AnthropicModel from camel.models.azure_openai_model import AzureOpenAIModel from camel.models.base_model import BaseModelBackend +from camel.models.cohere_model import CohereModel from camel.models.gemini_model import GeminiModel from camel.models.groq_model import GroqModel from camel.models.litellm_model import LiteLLMModel @@ -96,6 +97,8 @@ def create( model_class = MistralModel elif model_platform.is_reka and model_type.is_reka: model_class = RekaModel + elif model_platform.is_cohere and model_type.is_cohere: + model_class = CohereModel elif model_type == ModelType.STUB: model_class = StubModel else: diff --git a/camel/types/enums.py b/camel/types/enums.py index 4f7d6384d0..3485bc85ac 100644 --- a/camel/types/enums.py +++ b/camel/types/enums.py @@ -86,6 +86,12 @@ class ModelType(Enum): REKA_FLASH = "reka-flash" REKA_EDGE = "reka-edge" + # Cohere models + COHERE_COMMAND_R = "command-r" + COHERE_COMMAND_LIGHT = "command-light" + COHERE_COMMAND = "command" + COHERE_COMMAND_NIGHTLY = "command-nightly" + @property def value_for_tiktoken(self) -> str: if self.is_openai: @@ -213,6 +219,20 @@ def is_reka(self) -> bool: ModelType.REKA_FLASH, } + @property + def is_cohere(self) -> bool: + r"""Returns whether this type of models is a Cohere model. + + Returns: + bool: Whether this type of models is Cohere. + """ + return self in { + ModelType.COHERE_COMMAND_R, + ModelType.COHERE_COMMAND_LIGHT, + ModelType.COHERE_COMMAND, + ModelType.COHERE_COMMAND_NIGHTLY, + } + @property def token_limit(self) -> int: r"""Returns the maximum token limit for a given model. @@ -291,6 +311,13 @@ def token_limit(self) -> int: return 256_000 elif self in {ModelType.GEMINI_1_5_FLASH, ModelType.GEMINI_1_5_PRO}: return 1_048_576 + elif self in { + ModelType.COHERE_COMMAND_R, + ModelType.COHERE_COMMAND_LIGHT, + ModelType.COHERE_COMMAND, + ModelType.COHERE_COMMAND_NIGHTLY, + }: + return 4_096 else: raise ValueError("Unknown model type") @@ -472,6 +499,7 @@ class ModelPlatformType(Enum): TOGETHER = "together" OPENAI_COMPATIBILITY_MODEL = "openai-compatibility-model" SAMBA = "samba-nova" + COHERE = "cohere" @property def is_openai(self) -> bool: @@ -549,6 +577,11 @@ def is_samba(self) -> bool: r"""Returns whether this platform is Samba Nova.""" return self is ModelPlatformType.SAMBA + @property + def is_cohere(self) -> bool: + r"""Returns whether this platform is Cohere.""" + return self is ModelPlatformType.COHERE + class AudioModelType(Enum): TTS_1 = "tts-1" diff --git a/examples/models/cohere_model_example.py b/examples/models/cohere_model_example.py new file mode 100644 index 0000000000..ede604525d --- /dev/null +++ b/examples/models/cohere_model_example.py @@ -0,0 +1,43 @@ +# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== +# Licensed under the Apache License, Version 2.0 (the “License”); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an “AS IS” BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== +from camel.agents import ChatAgent +from camel.configs import CohereConfig +from camel.messages import BaseMessage +from camel.models import ModelFactory +from camel.types import ModelPlatformType, ModelType + +model = ModelFactory.create( + model_platform=ModelPlatformType.COHERE, + model_type=ModelType.COHERE_COMMAND_R, + model_config_dict=CohereConfig(temperature=0.0).as_dict(), +) + +# Define system message +sys_msg = BaseMessage.make_assistant_message( + role_name="Assistant", + content="You are a helpful assistant.", +) + +# Set agent +camel_agent = ChatAgent(system_message=sys_msg, model=model) + +user_msg = BaseMessage.make_user_message( + role_name="User", + content="""Say hi to CAMEL AI, one open-source community dedicated to the + study of autonomous and communicative agents.""", +) + +# Get response information +response = camel_agent.step(user_msg) +print(response.msgs[0].content) diff --git a/examples/models/role_playing_with_cohere.py b/examples/models/role_playing_with_cohere.py new file mode 100644 index 0000000000..8903f32c60 --- /dev/null +++ b/examples/models/role_playing_with_cohere.py @@ -0,0 +1,144 @@ +# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== +# Licensed under the Apache License, Version 2.0 (the “License”); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an “AS IS” BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== +import os +from colorama import Fore + +import cohere +from cohere.core.api_error import ApiError + +from camel.configs import CohereConfig +from camel.models import ModelFactory +from camel.societies import RolePlaying +from camel.types import ModelPlatformType, ModelType +from camel.utils import print_text_animated + +def test_cohere_api(api_key): + client = cohere.Client(api_key) + + print("Testing Cohere generate endpoint:") + try: + response = client.generate(prompt="Hello, world!") + print("Generate test successful.") + print(f"Response: {response.generations[0].text}") + except ApiError as e: + print(f"Generate test failed. Status code: {e.status_code}") + print(f"Error body: {e.body}") + except Exception as e: + print(f"Generate test failed. Error: {str(e)}") + + print("\nTesting Cohere chat endpoint:") + try: + response = client.chat(message="Hello", model="command") + print("Chat test successful.") + print(f"Response: {response.text}") + except ApiError as e: + print(f"Chat test failed. Status code: {e.status_code}") + print(f"Error body: {e.body}") + except Exception as e: + print(f"Chat test failed. Error: {str(e)}") + +def main( + model_platform=ModelPlatformType.COHERE, + model_type=ModelType.COHERE_COMMAND_R, + chat_turn_limit=10, +) -> None: + # Test Cohere API + api_key = os.environ.get("COHERE_API_KEY") + if not api_key: + print("COHERE_API_KEY not found in environment variables.") + return + print(f"API Key: {'*' * (len(api_key) - 4) + api_key[-4:]}") + test_cohere_api(api_key) + task_prompt = ( + "Assume now is 2024 in the Gregorian calendar, " + "estimate the current age of University of Oxford " + "and then add 10 more years to this age." + ) + + model_config = CohereConfig(temperature=0.2) + + # Create model for both assistant and user + model = ModelFactory.create( + model_platform=model_platform, + model_type=model_type, + model_config_dict=model_config.as_dict(), + ) + + # Set up role playing session + role_play_session = RolePlaying( + assistant_role_name="Searcher", + user_role_name="Professor", + assistant_agent_kwargs=dict(model=model), + user_agent_kwargs=dict(model=model), + task_prompt=task_prompt, + with_task_specify=False, + ) + + print( + Fore.GREEN + + f"AI Assistant sys message:\n{role_play_session.assistant_sys_msg}\n" + ) + print( + Fore.BLUE + f"AI User sys message:\n{role_play_session.user_sys_msg}\n" + ) + + print(Fore.YELLOW + f"Original task prompt:\n{task_prompt}\n") + print( + Fore.CYAN + + "Specified task prompt:" + + f"\n{role_play_session.specified_task_prompt}\n" + ) + print(Fore.RED + f"Final task prompt:\n{role_play_session.task_prompt}\n") + + n = 0 + input_msg = role_play_session.init_chat() + while n < chat_turn_limit: + n += 1 + assistant_response, user_response = role_play_session.step(input_msg) + + if assistant_response.terminated: + print( + Fore.GREEN + + ( + "AI Assistant terminated. Reason: " + f"{assistant_response.info['termination_reasons']}." + ) + ) + break + if user_response.terminated: + print( + Fore.GREEN + + ( + "AI User terminated. " + f"Reason: {user_response.info['termination_reasons']}." + ) + ) + break + + # Print output from the user + print_text_animated( + Fore.BLUE + f"AI User:\n\n{user_response.msg.content}\n" + ) + + # Print output from the assistant + print_text_animated(Fore.GREEN + "AI Assistant:") + print_text_animated(f"{assistant_response.msg.content}\n") + + if "CAMEL_TASK_DONE" in user_response.msg.content: + break + + input_msg = assistant_response.msg + +if __name__ == "__main__": + main() From b05d9ac38629830d9f0d97ec1d3a4b54056aae66 Mon Sep 17 00:00:00 2001 From: NeilJohnson0930 Date: Wed, 11 Sep 2024 21:25:08 +0800 Subject: [PATCH 02/15] feat: integrate model cohere --- camel/configs/cohere_config.py | 4 +- camel/models/cohere_model.py | 69 ++++++++++++++++----- examples/models/role_playing_with_cohere.py | 13 ++-- 3 files changed, 63 insertions(+), 23 deletions(-) diff --git a/camel/configs/cohere_config.py b/camel/configs/cohere_config.py index 75b961b666..db5cbddb3b 100644 --- a/camel/configs/cohere_config.py +++ b/camel/configs/cohere_config.py @@ -49,7 +49,9 @@ class CohereConfig(BaseConfig): @classmethod def validate_prompt_truncation(cls, v): if v is not None and v not in ['START', 'END', 'AUTO']: - raise ValueError("prompt_truncation must be 'START', 'END', or 'AUTO'") + raise ValueError( + "prompt_truncation must be 'START', 'END', or 'AUTO'" + ) return v def as_dict(self): diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py index b210a5b0e6..0b63ae3c52 100644 --- a/camel/models/cohere_model.py +++ b/camel/models/cohere_model.py @@ -11,19 +11,19 @@ # See the License for the specific language governing permissions and # limitations under the License. # =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== -import os import logging +import os import uuid -from cohere.core.api_error import ApiError from typing import TYPE_CHECKING, Any, Dict, List, Optional +from cohere.core.api_error import ApiError + if TYPE_CHECKING: from cohere.chat import ChatResponse -from camel.configs import COHERE_API_PARAMS from camel.messages import OpenAIMessage from camel.models import BaseModelBackend -from camel.types import ChatCompletion, ModelType, ModelPlatformType +from camel.types import ChatCompletion, ModelPlatformType, ModelType from camel.utils import ( BaseTokenCounter, OpenAITokenCounter, @@ -40,6 +40,7 @@ except (ImportError, AttributeError): LLMEvent = None + class CohereModel(BaseModelBackend): """Cohere API in a unified BaseModelBackend interface.""" @@ -51,19 +52,24 @@ def __init__( token_counter: Optional[BaseTokenCounter] = None, model_platform: Optional[ModelPlatformType] = None, ): - super().__init__(model_type, model_config_dict, api_key, token_counter=token_counter) + super().__init__( + model_type, model_config_dict, api_key, token_counter=token_counter + ) self._api_key = api_key or os.environ.get("COHERE_API_KEY") self.model_platform = model_platform - print(f"API Key loaded: {'*' * (len(self._api_key) - 4) + self._api_key[-4:] if self._api_key else 'None'}") + print( + f"API Key loaded: {'*' * (len(self._api_key) - 4) + self._api_key[-4:] if self._api_key else 'None'}" + ) import cohere + self._client = cohere.Client(api_key=self._api_key) self._token_counter: Optional[BaseTokenCounter] = None def _to_openai_response(self, response: 'ChatResponse') -> ChatCompletion: unique_id = str(uuid.uuid4()) - + # Safely access nested attributes def safe_get(obj, *keys): for key in keys: @@ -91,18 +97,38 @@ def safe_get(obj, *keys): model=self.model_type.value, object="chat.completion", usage={ - "prompt_tokens": safe_get(response, 'meta', 'billed_tokens', 'prompt_tokens') or 0, - "completion_tokens": safe_get(response, 'meta', 'billed_tokens', 'completion_tokens') or 0, + "prompt_tokens": safe_get( + response, 'meta', 'billed_tokens', 'prompt_tokens' + ) + or 0, + "completion_tokens": safe_get( + response, 'meta', 'billed_tokens', 'completion_tokens' + ) + or 0, "total_tokens": ( - (safe_get(response, 'meta', 'billed_tokens', 'prompt_tokens') or 0) + - (safe_get(response, 'meta', 'billed_tokens', 'completion_tokens') or 0) + ( + safe_get( + response, 'meta', 'billed_tokens', 'prompt_tokens' + ) + or 0 + ) + + ( + safe_get( + response, + 'meta', + 'billed_tokens', + 'completion_tokens', + ) + or 0 + ) ), }, ) return obj - - def _to_cohere_chatmessage(self, messages: List[OpenAIMessage]) -> List[Dict[str, str]]: + def _to_cohere_chatmessage( + self, messages: List[OpenAIMessage] + ) -> List[Dict[str, str]]: new_messages = [] for msg in messages: role = msg.get("role") @@ -148,10 +174,15 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: # Filter out unsupported parameters supported_params = { - 'temperature', 'p', 'k', 'max_tokens', 'prompt_truncation' + 'temperature', + 'p', + 'k', + 'max_tokens', + 'prompt_truncation', } filtered_config = { - k: v for k, v in self.model_config_dict.items() + k: v + for k, v in self.model_config_dict.items() if k in supported_params } @@ -167,7 +198,7 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: logging.error(f"Error body: {e.body}") raise except Exception as e: - logging.error(f"Unexpected error when calling Cohere API: {str(e)}") + logging.error(f"Unexpected error when calling Cohere API: {e!s}") raise openai_response = self._to_openai_response(response) @@ -197,7 +228,11 @@ def check_model_config(self): unexpected arguments to Cohere API. """ supported_params = { - 'temperature', 'p', 'k', 'max_tokens', 'prompt_truncation' + 'temperature', + 'p', + 'k', + 'max_tokens', + 'prompt_truncation', } for param in self.model_config_dict: if param not in supported_params: diff --git a/examples/models/role_playing_with_cohere.py b/examples/models/role_playing_with_cohere.py index 8903f32c60..71c601f192 100644 --- a/examples/models/role_playing_with_cohere.py +++ b/examples/models/role_playing_with_cohere.py @@ -12,10 +12,10 @@ # limitations under the License. # =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== import os -from colorama import Fore import cohere from cohere.core.api_error import ApiError +from colorama import Fore from camel.configs import CohereConfig from camel.models import ModelFactory @@ -23,9 +23,10 @@ from camel.types import ModelPlatformType, ModelType from camel.utils import print_text_animated + def test_cohere_api(api_key): client = cohere.Client(api_key) - + print("Testing Cohere generate endpoint:") try: response = client.generate(prompt="Hello, world!") @@ -35,8 +36,8 @@ def test_cohere_api(api_key): print(f"Generate test failed. Status code: {e.status_code}") print(f"Error body: {e.body}") except Exception as e: - print(f"Generate test failed. Error: {str(e)}") - + print(f"Generate test failed. Error: {e!s}") + print("\nTesting Cohere chat endpoint:") try: response = client.chat(message="Hello", model="command") @@ -46,7 +47,8 @@ def test_cohere_api(api_key): print(f"Chat test failed. Status code: {e.status_code}") print(f"Error body: {e.body}") except Exception as e: - print(f"Chat test failed. Error: {str(e)}") + print(f"Chat test failed. Error: {e!s}") + def main( model_platform=ModelPlatformType.COHERE, @@ -140,5 +142,6 @@ def main( input_msg = assistant_response.msg + if __name__ == "__main__": main() From 71f3c0a4ccf6b93510c6af69955f7ce11527b9d0 Mon Sep 17 00:00:00 2001 From: Wendong Date: Wed, 11 Sep 2024 21:56:03 +0800 Subject: [PATCH 03/15] update wd --- camel/models/cohere_model.py | 28 +++++++++++++--------------- 1 file changed, 13 insertions(+), 15 deletions(-) diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py index 0b63ae3c52..fa477fec51 100644 --- a/camel/models/cohere_model.py +++ b/camel/models/cohere_model.py @@ -16,10 +16,8 @@ import uuid from typing import TYPE_CHECKING, Any, Dict, List, Optional -from cohere.core.api_error import ApiError - if TYPE_CHECKING: - from cohere.chat import ChatResponse + from cohere.types import NonStreamedChatResponse from camel.messages import OpenAIMessage from camel.models import BaseModelBackend @@ -52,22 +50,20 @@ def __init__( token_counter: Optional[BaseTokenCounter] = None, model_platform: Optional[ModelPlatformType] = None, ): + import cohere + super().__init__( model_type, model_config_dict, api_key, token_counter=token_counter ) self._api_key = api_key or os.environ.get("COHERE_API_KEY") self.model_platform = model_platform - print( - f"API Key loaded: {'*' * (len(self._api_key) - 4) + self._api_key[-4:] if self._api_key else 'None'}" - ) - - import cohere - self._client = cohere.Client(api_key=self._api_key) self._token_counter: Optional[BaseTokenCounter] = None - def _to_openai_response(self, response: 'ChatResponse') -> ChatCompletion: + def _to_openai_response( + self, response: 'NonStreamedChatResponse' + ) -> ChatCompletion: unique_id = str(uuid.uuid4()) # Safely access nested attributes @@ -143,7 +139,7 @@ def _to_cohere_chatmessage( else: raise ValueError(f"Unsupported message role: {role}") - return new_messages + return new_messages # type: ignore[return-value] @property def token_counter(self) -> BaseTokenCounter: @@ -170,6 +166,8 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: Returns: ChatCompletion. """ + from cohere.core.api_error import ApiError + cohere_messages = self._to_cohere_chatmessage(messages) # Filter out unsupported parameters @@ -189,7 +187,7 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: try: response = self._client.chat( message=cohere_messages[-1]["message"], - chat_history=cohere_messages[:-1], + chat_history=cohere_messages[:-1], # type: ignore[arg-type] model=self.model_type.value, **filtered_config, ) @@ -208,11 +206,11 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: llm_event = LLMEvent( thread_id=openai_response.id, prompt=" ".join( - [message.get("content") for message in messages] + [message.get("content") for message in messages] # type: ignore[misc] ), - prompt_tokens=openai_response.usage.prompt_tokens, + prompt_tokens=openai_response.usage.prompt_tokens, # type: ignore[union-attr] completion=openai_response.choices[0].message.content, - completion_tokens=openai_response.usage.completion_tokens, + completion_tokens=openai_response.usage.completion_tokens, # type: ignore[union-attr] model=self.model_type.value, ) record(llm_event) From 0686fde7687881f4a36b9914da05885e1d6a066e Mon Sep 17 00:00:00 2001 From: NeilJohnson0930 Date: Wed, 11 Sep 2024 22:54:39 +0800 Subject: [PATCH 04/15] fix: compatibility issue with Cohere application in retriever --- camel/retrievers/cohere_rerank_retriever.py | 8 +- poetry.lock | 592 +++++++++++--------- pyproject.toml | 2 +- 3 files changed, 327 insertions(+), 275 deletions(-) diff --git a/camel/retrievers/cohere_rerank_retriever.py b/camel/retrievers/cohere_rerank_retriever.py index 84d51cfa8c..d54701db86 100644 --- a/camel/retrievers/cohere_rerank_retriever.py +++ b/camel/retrievers/cohere_rerank_retriever.py @@ -98,10 +98,8 @@ def query( model=self.model_name, ) formatted_results = [] - for i in range(0, len(rerank_results.results)): - selected_chunk = retrieved_result[rerank_results[i].index] - selected_chunk['similarity score'] = rerank_results[ - i - ].relevance_score + for result in rerank_results.results: + selected_chunk = retrieved_result[result.index] + selected_chunk['similarity score'] = result.relevance_score formatted_results.append(selected_chunk) return formatted_results diff --git a/poetry.lock b/poetry.lock index 94f23de065..aa0d415854 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 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" @@ -544,15 +544,34 @@ charset-normalizer = ["charset-normalizer"] html5lib = ["html5lib"] lxml = ["lxml"] +[[package]] +name = "boto3" +version = "1.35.16" +description = "The AWS SDK for Python" +optional = true +python-versions = ">=3.8" +files = [ + {file = "boto3-1.35.16-py3-none-any.whl", hash = "sha256:9c5b0ce4a25bb78d659478d1c552f1dbb7ff275aab3263bb41cdbef8bca28693"}, + {file = "boto3-1.35.16.tar.gz", hash = "sha256:9b96c210678cf430b16b49dee87db30f46044602bb9a605a465e1900f468a43f"}, +] + +[package.dependencies] +botocore = ">=1.35.16,<1.36.0" +jmespath = ">=0.7.1,<2.0.0" +s3transfer = ">=0.10.0,<0.11.0" + +[package.extras] +crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] + [[package]] name = "botocore" -version = "1.35.14" +version = "1.35.16" description = "Low-level, data-driven core of boto 3." optional = true python-versions = ">=3.8" files = [ - {file = "botocore-1.35.14-py3-none-any.whl", hash = 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= true } # retrievers rank-bm25 = { version = "^0.2.2", optional = true } -cohere = { version = "^4.56", optional = true } +cohere = { version = "^5.9.1", optional = true } # test pytest = { version = "^7", optional = true } From 3ac127b2a6a6f6ed310786cb8fbc2db895729c81 Mon Sep 17 00:00:00 2001 From: NeilJohnson0930 Date: Mon, 23 Sep 2024 23:03:45 +0800 Subject: [PATCH 05/15] feat: add test_cohere_model.py and solved comment problems --- camel/configs/cohere_config.py | 38 +++++-------- camel/models/__init__.py | 2 + camel/models/cohere_model.py | 46 ++++----------- examples/models/cohere_model_example.py | 8 +++ examples/models/role_playing_with_cohere.py | 1 + test/models/test_cohere_model.py | 62 +++++++++++++++++++++ 6 files changed, 99 insertions(+), 58 deletions(-) create mode 100644 test/models/test_cohere_model.py diff --git a/camel/configs/cohere_config.py b/camel/configs/cohere_config.py index db5cbddb3b..2e80eedf66 100644 --- a/camel/configs/cohere_config.py +++ b/camel/configs/cohere_config.py @@ -15,28 +15,29 @@ from typing import Optional -from pydantic import field_validator - from camel.configs.base_config import BaseConfig class CohereConfig(BaseConfig): - """Defines the parameters for generating chat completions using the + r"""Defines the parameters for generating chat completions using the Cohere API. - Args: - temperature (Optional[float]): Controls randomness in the model. + temperature (Optional[float], optional): + Controls randomness in the model. Values closer to 0 make the model more deterministic, while - values closer to 1 make it more random. Defaults to None. - p (Optional[float]): Sets a p% nucleus sampling threshold. - Defaults to None. - k (Optional[int]): Limits the number of tokens to sample from on - each step. Defaults to None. - max_tokens (Optional[int]): The maximum number of tokens to generate. - Defaults to None. - prompt_truncation (Optional[str]): How to truncate the prompt if it + values closer to 1 make it more random. (default: :obj:`None`) + p (Optional[float], optional): Sets a p% nucleus sampling threshold. + (default: :obj:`None`) + k (Optional[int], optional): + Limits the number of tokens to sample from on + each step. (default: :obj:`None`) + max_tokens (Optional[int], optional): + The maximum number of tokens to generate. + (default: :obj:`None`) + prompt_truncation (Optional[str], optional): + How to truncate the prompt if it exceeds the model's context length. Can be 'START', 'END', or - 'AUTO'. Defaults to None. + 'AUTO'. (default: :obj:`None`) """ temperature: Optional[float] = None @@ -45,15 +46,6 @@ class CohereConfig(BaseConfig): max_tokens: Optional[int] = None prompt_truncation: Optional[str] = None - @field_validator("prompt_truncation") - @classmethod - def validate_prompt_truncation(cls, v): - if v is not None and v not in ['START', 'END', 'AUTO']: - raise ValueError( - "prompt_truncation must be 'START', 'END', or 'AUTO'" - ) - return v - def as_dict(self): return {k: v for k, v in super().as_dict().items() if v is not None} diff --git a/camel/models/__init__.py b/camel/models/__init__.py index f0702e4adc..010d2ddd8e 100644 --- a/camel/models/__init__.py +++ b/camel/models/__init__.py @@ -14,6 +14,7 @@ from .anthropic_model import AnthropicModel from .azure_openai_model import AzureOpenAIModel from .base_model import BaseModelBackend +from .cohere_model import CohereModel from .gemini_model import GeminiModel from .groq_model import GroqModel from .litellm_model import LiteLLMModel @@ -41,6 +42,7 @@ 'GroqModel', 'StubModel', 'ZhipuAIModel', + 'CohereModel', 'OpenSourceModel', 'ModelFactory', 'LiteLLMModel', diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py index fa477fec51..f57086b501 100644 --- a/camel/models/cohere_model.py +++ b/camel/models/cohere_model.py @@ -19,9 +19,10 @@ if TYPE_CHECKING: from cohere.types import NonStreamedChatResponse +from camel.configs import COHERE_API_PARAMS from camel.messages import OpenAIMessage from camel.models import BaseModelBackend -from camel.types import ChatCompletion, ModelPlatformType, ModelType +from camel.types import ChatCompletion, ModelType from camel.utils import ( BaseTokenCounter, OpenAITokenCounter, @@ -40,15 +41,15 @@ class CohereModel(BaseModelBackend): - """Cohere API in a unified BaseModelBackend interface.""" + r"""Cohere API in a unified BaseModelBackend interface.""" def __init__( self, model_type: ModelType, model_config_dict: Dict[str, Any], api_key: Optional[str] = None, + url: Optional[str] = None, token_counter: Optional[BaseTokenCounter] = None, - model_platform: Optional[ModelPlatformType] = None, ): import cohere @@ -56,7 +57,7 @@ def __init__( model_type, model_config_dict, api_key, token_counter=token_counter ) self._api_key = api_key or os.environ.get("COHERE_API_KEY") - self.model_platform = model_platform + self._url = url or os.environ.get("COHERE_SERVER_URL") self._client = cohere.Client(api_key=self._api_key) self._token_counter: Optional[BaseTokenCounter] = None @@ -143,26 +144,23 @@ def _to_cohere_chatmessage( @property def token_counter(self) -> BaseTokenCounter: - """Initialize the token counter for the model backend. - + r"""Initialize the token counter for the model backend. Returns: BaseTokenCounter: The token counter following the model's tokenization style. """ if not self._token_counter: self._token_counter = OpenAITokenCounter( - model=ModelType.GPT_3_5_TURBO + model=ModelType.GPT_4O_MINI ) return self._token_counter @api_keys_required("COHERE_API_KEY") def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: - """Runs inference of Cohere chat completion. - + r"""Runs inference of Cohere chat completion. Args: messages (List[OpenAIMessage]): Message list with the chat history in OpenAI API format. - Returns: ChatCompletion. """ @@ -170,26 +168,12 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: cohere_messages = self._to_cohere_chatmessage(messages) - # Filter out unsupported parameters - supported_params = { - 'temperature', - 'p', - 'k', - 'max_tokens', - 'prompt_truncation', - } - filtered_config = { - k: v - for k, v in self.model_config_dict.items() - if k in supported_params - } - try: response = self._client.chat( message=cohere_messages[-1]["message"], chat_history=cohere_messages[:-1], # type: ignore[arg-type] model=self.model_type.value, - **filtered_config, + **self.model_config_dict, ) except ApiError as e: logging.error(f"Cohere API Error: {e.status_code}") @@ -218,22 +202,14 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: return openai_response def check_model_config(self): - """Check whether the model configuration contains any + r"""Check whether the model configuration contains any unexpected arguments to Cohere API. - Raises: ValueError: If the model configuration dictionary contains any unexpected arguments to Cohere API. """ - supported_params = { - 'temperature', - 'p', - 'k', - 'max_tokens', - 'prompt_truncation', - } for param in self.model_config_dict: - if param not in supported_params: + if param not in COHERE_API_PARAMS: raise ValueError( f"Unexpected argument `{param}` is " "input into Cohere model backend." diff --git a/examples/models/cohere_model_example.py b/examples/models/cohere_model_example.py index ede604525d..59aa0783bb 100644 --- a/examples/models/cohere_model_example.py +++ b/examples/models/cohere_model_example.py @@ -41,3 +41,11 @@ # Get response information response = camel_agent.step(user_msg) print(response.msgs[0].content) +''' +=============================================================================== +Hello CAMEL AI! It's great to connect with an open-source community focused on +autonomous and communicative agents. Your work is fascinating and has a wide +range of applications. I look forward to learning more about your research and +contributions to the field of AI. +=============================================================================== +''' diff --git a/examples/models/role_playing_with_cohere.py b/examples/models/role_playing_with_cohere.py index 71c601f192..6505851d99 100644 --- a/examples/models/role_playing_with_cohere.py +++ b/examples/models/role_playing_with_cohere.py @@ -75,6 +75,7 @@ def main( model_platform=model_platform, model_type=model_type, model_config_dict=model_config.as_dict(), + api_key=api_key, ) # Set up role playing session diff --git a/test/models/test_cohere_model.py b/test/models/test_cohere_model.py new file mode 100644 index 0000000000..24433ee6d3 --- /dev/null +++ b/test/models/test_cohere_model.py @@ -0,0 +1,62 @@ +# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== +# Licensed under the Apache License, Version 2.0 (the “License”); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an “AS IS” BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== +import re + +import pytest + +from camel.configs import CohereConfig, OpenSourceConfig +from camel.models import CohereModel +from camel.types import ModelType +from camel.utils import OpenAITokenCounter + + +@pytest.mark.model_backend +@pytest.mark.parametrize( + "model_type", + [ + ModelType.COHERE_COMMAND_R, + ModelType.COHERE_COMMAND_LIGHT, + ModelType.COHERE_COMMAND, + ModelType.COHERE_COMMAND_NIGHTLY, + ], +) +def test_cohere_model(model_type): + model_config_dict = CohereConfig().as_dict() + model = CohereModel(model_type, model_config_dict) + assert model.model_type == model_type + assert model.model_config_dict == model_config_dict + assert isinstance(model.token_counter, OpenAITokenCounter) + assert isinstance(model.model_type.value_for_tiktoken, str) + assert isinstance(model.model_type.token_limit, int) + + +@pytest.mark.model_backend +def test_cohere_model_unexpected_argument(): + model_type = ModelType.COHERE_COMMAND_R + model_config = OpenSourceConfig( + model_path="vicuna-7b-v1.5", + server_url="http://localhost:8000/v1", + ) + model_config_dict = model_config.as_dict() + + with pytest.raises( + ValueError, + match=re.escape( + ( + "Unexpected argument `model_path` is " + "input into Cohere model backend." + ) + ), + ): + _ = CohereModel(model_type, model_config_dict) From ca9928b83e32eaed6c9b99be0d36391faae71b59 Mon Sep 17 00:00:00 2001 From: NeilJohnson0930 Date: Thu, 26 Sep 2024 19:48:32 +0800 Subject: [PATCH 06/15] fix: review comment --- camel/configs/cohere_config.py | 1 + camel/models/cohere_model.py | 88 ++++++++++++++++------------------ 2 files changed, 43 insertions(+), 46 deletions(-) diff --git a/camel/configs/cohere_config.py b/camel/configs/cohere_config.py index 2e80eedf66..6ca0f95830 100644 --- a/camel/configs/cohere_config.py +++ b/camel/configs/cohere_config.py @@ -45,6 +45,7 @@ class CohereConfig(BaseConfig): k: Optional[int] = None max_tokens: Optional[int] = None prompt_truncation: Optional[str] = None + seed: Optional[int] = None def as_dict(self): return {k: v for k, v in super().as_dict().items() if v is not None} diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py index f57086b501..a25832853b 100644 --- a/camel/models/cohere_model.py +++ b/camel/models/cohere_model.py @@ -66,61 +66,57 @@ def _to_openai_response( self, response: 'NonStreamedChatResponse' ) -> ChatCompletion: unique_id = str(uuid.uuid4()) + usage = { + "prompt_tokens": response.meta.tokens.input_tokens or 0, # type: ignore[union-attr] + "completion_tokens": response.meta.tokens.output_tokens or 0, # type: ignore[union-attr] + "total_tokens": (response.meta.tokens.input_tokens or 0) # type: ignore[union-attr] + + (response.meta.tokens.output_tokens or 0), # type: ignore[union-attr] + } + + choices = [ + dict( + index=0, + message={ + "role": "assistant", + "content": response.text, + }, + finish_reason=response.finish_reason, + ) + ] + + # Handle tool calls if present + if response.tool_calls: + tool_calls_list = [] + for tool_call in response.tool_calls: + tool_calls_list.append( + { + "name": tool_call.name, + "parameters": tool_call.parameters, + } + ) - # Safely access nested attributes - def safe_get(obj, *keys): - for key in keys: - if isinstance(obj, dict): - obj = obj.get(key) - else: - obj = getattr(obj, key, None) - if obj is None: - return None - return obj - - obj = ChatCompletion.construct( - id=unique_id, - choices=[ + # Insert the tool call information into the response + choices.append( dict( - index=0, + index=1, message={ "role": "assistant", - "content": response.text, + "content": "Tool call in progress", + "tool_calls": tool_calls_list, }, - finish_reason=safe_get(response, 'finish_reason'), + finish_reason=None, # Tool hasn't completed yet ) - ], - created=safe_get(response, 'meta', 'created_at'), + ) + + obj = ChatCompletion.construct( + id=unique_id, + choices=choices, + created=None, model=self.model_type.value, object="chat.completion", - usage={ - "prompt_tokens": safe_get( - response, 'meta', 'billed_tokens', 'prompt_tokens' - ) - or 0, - "completion_tokens": safe_get( - response, 'meta', 'billed_tokens', 'completion_tokens' - ) - or 0, - "total_tokens": ( - ( - safe_get( - response, 'meta', 'billed_tokens', 'prompt_tokens' - ) - or 0 - ) - + ( - safe_get( - response, - 'meta', - 'billed_tokens', - 'completion_tokens', - ) - or 0 - ) - ), - }, + usage=usage, ) + return obj def _to_cohere_chatmessage( From 1ee1aa83d6536c513a4ccd17d4b610d45e26af1d Mon Sep 17 00:00:00 2001 From: Wendong Date: Mon, 30 Sep 2024 17:43:05 +0800 Subject: [PATCH 07/15] update cohere config --- camel/configs/cohere_config.py | 69 +++++++++++++++++++++++----------- 1 file changed, 47 insertions(+), 22 deletions(-) diff --git a/camel/configs/cohere_config.py b/camel/configs/cohere_config.py index 6ca0f95830..588b469df9 100644 --- a/camel/configs/cohere_config.py +++ b/camel/configs/cohere_config.py @@ -13,7 +13,7 @@ # =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== from __future__ import annotations -from typing import Optional +from typing import List, Optional from camel.configs.base_config import BaseConfig @@ -22,33 +22,58 @@ class CohereConfig(BaseConfig): r"""Defines the parameters for generating chat completions using the Cohere API. Args: - temperature (Optional[float], optional): - Controls randomness in the model. - Values closer to 0 make the model more deterministic, while - values closer to 1 make it more random. (default: :obj:`None`) - p (Optional[float], optional): Sets a p% nucleus sampling threshold. + temperature (float, optional): Sampling temperature to use, between + :obj:`0` and :obj:`2`. Higher values make the output more random, + while lower values make it more focused and deterministic. + (default: :obj:`0.3`) + documents (dict, optional): A list of relevant documents that the + model can cite to generate a more accurate reply. Each document is + either a string or document object with content and metadata. (default: :obj:`None`) - k (Optional[int], optional): - Limits the number of tokens to sample from on - each step. (default: :obj:`None`) - max_tokens (Optional[int], optional): - The maximum number of tokens to generate. + response_format (dict, optional): Configuration for forcing the model + output to adhere to the specified format. Supported on Command R, + Command R+ and newer models. (default: :obj:`None`) + max_tokens (int, optional): The maximum number of tokens the model + will generate as part of the response. (default: :obj:`None`) + stop_sequences (List(str), optional): A list of up to 5 strings that + the model will use to stop generation. If the model generates a + string that matches any of the strings in the list, it will stop + generating tokens and return the generated text up to that point + not including the stop sequence. (default: :obj:`None`) + seed (int, optional): If specified, the backend will make a best + effort to sample tokens deterministically, such that repeated + requests with the same seed and parameters should return the same + result. However, determinism cannot be totally guaranteed. (default: :obj:`None`) - prompt_truncation (Optional[str], optional): - How to truncate the prompt if it - exceeds the model's context length. Can be 'START', 'END', or - 'AUTO'. (default: :obj:`None`) + frequency_penalty (float, optional): Min value of `0.0`, max value of + `1.0`. Used to reduce repetitiveness of generated tokens. The + higher the value, the stronger a penalty is applied to previously + present tokens, proportional to how many times they have already + appeared in the prompt or prior generation. (default: :obj:`0.0`) + presence_penalty (float, optional): Min value of `0.0`, max value of + `1.0`. Used to reduce repetitiveness of generated tokens. Similar + to `frequency_penalty`, except that this penalty is applied + equally to all tokens that have already appeared, regardless of + their exact frequencies. (default: :obj:`0.0`) + k (float, optional): Ensures only the top k most likely tokens are + considered for generation at each step. Min value of `0`, max + value of `500`. (default: :obj:`0.0`) + p (float, optional): Ensures that only the most likely tokens, with + total probability mass of `p`, are considered for generation at + each step. If both k and p are enabled, `p` acts after `k`. Min + value of `0.01`, max value of `0.99`. (default: :obj:`0.75`) """ - temperature: Optional[float] = None - p: Optional[float] = None - k: Optional[int] = None + temperature: Optional[float] = 0.2 + documents: Optional[dict] = None + response_format: Optional[dict] = None max_tokens: Optional[int] = None - prompt_truncation: Optional[str] = None + stop_sequences: Optional[List[str]] = None seed: Optional[int] = None - - def as_dict(self): - return {k: v for k, v in super().as_dict().items() if v is not None} + frequency_penalty: Optional[float] = 0.0 + presence_penalty: Optional[float] = 0.0 + k: Optional[float] = 0.0 + p: Optional[float] = 0.75 COHERE_API_PARAMS = {param for param in CohereConfig().model_fields.keys()} From 03ef4ee936f56035baa6f00370703374cb31b01c Mon Sep 17 00:00:00 2001 From: Wendong Date: Mon, 30 Sep 2024 18:41:53 +0800 Subject: [PATCH 08/15] update _to_openai_response --- camel/configs/cohere_config.py | 11 +++---- camel/models/cohere_model.py | 58 +++++++++++++++------------------- 2 files changed, 29 insertions(+), 40 deletions(-) diff --git a/camel/configs/cohere_config.py b/camel/configs/cohere_config.py index 588b469df9..b2747121b3 100644 --- a/camel/configs/cohere_config.py +++ b/camel/configs/cohere_config.py @@ -21,6 +21,7 @@ class CohereConfig(BaseConfig): r"""Defines the parameters for generating chat completions using the Cohere API. + Args: temperature (float, optional): Sampling temperature to use, between :obj:`0` and :obj:`2`. Higher values make the output more random, @@ -30,9 +31,6 @@ class CohereConfig(BaseConfig): model can cite to generate a more accurate reply. Each document is either a string or document object with content and metadata. (default: :obj:`None`) - response_format (dict, optional): Configuration for forcing the model - output to adhere to the specified format. Supported on Command R, - Command R+ and newer models. (default: :obj:`None`) max_tokens (int, optional): The maximum number of tokens the model will generate as part of the response. (default: :obj:`None`) stop_sequences (List(str), optional): A list of up to 5 strings that @@ -55,9 +53,9 @@ class CohereConfig(BaseConfig): to `frequency_penalty`, except that this penalty is applied equally to all tokens that have already appeared, regardless of their exact frequencies. (default: :obj:`0.0`) - k (float, optional): Ensures only the top k most likely tokens are + k (int, optional): Ensures only the top k most likely tokens are considered for generation at each step. Min value of `0`, max - value of `500`. (default: :obj:`0.0`) + value of `500`. (default: :obj:`0`) p (float, optional): Ensures that only the most likely tokens, with total probability mass of `p`, are considered for generation at each step. If both k and p are enabled, `p` acts after `k`. Min @@ -66,13 +64,12 @@ class CohereConfig(BaseConfig): temperature: Optional[float] = 0.2 documents: Optional[dict] = None - response_format: Optional[dict] = None max_tokens: Optional[int] = None stop_sequences: Optional[List[str]] = None seed: Optional[int] = None frequency_penalty: Optional[float] = 0.0 presence_penalty: Optional[float] = 0.0 - k: Optional[float] = 0.0 + k: Optional[int] = 0 p: Optional[float] = 0.75 diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py index a25832853b..e842fb7d79 100644 --- a/camel/models/cohere_model.py +++ b/camel/models/cohere_model.py @@ -53,19 +53,16 @@ def __init__( ): import cohere + api_key = api_key or os.environ.get("COHERE_API_KEY") + url = url or os.environ.get("COHERE_SERVER_URL") super().__init__( - model_type, model_config_dict, api_key, token_counter=token_counter + model_type, model_config_dict, api_key, url, token_counter ) - self._api_key = api_key or os.environ.get("COHERE_API_KEY") - self._url = url or os.environ.get("COHERE_SERVER_URL") - self._client = cohere.Client(api_key=self._api_key) - self._token_counter: Optional[BaseTokenCounter] = None def _to_openai_response( self, response: 'NonStreamedChatResponse' ) -> ChatCompletion: - unique_id = str(uuid.uuid4()) usage = { "prompt_tokens": response.meta.tokens.input_tokens or 0, # type: ignore[union-attr] "completion_tokens": response.meta.tokens.output_tokens or 0, # type: ignore[union-attr] @@ -73,43 +70,38 @@ def _to_openai_response( + (response.meta.tokens.output_tokens or 0), # type: ignore[union-attr] } + tool_calls = response.tool_calls + + if tool_calls: + tool_call_id = uuid.uuid4().hex[:9] + openai_tool_calls = [ + dict( + id=str(tool_call.parameters) + tool_call_id, # type: ignore[union-attr] + function={ + "name": tool_call.name, # type: ignore[union-attr] + "arguments": tool_call.parameters, # type: ignore[union-attr] + }, + type="function", + ) + for tool_call in tool_calls + ] + choices = [ dict( - index=0, + index=None, message={ "role": "assistant", "content": response.text, + "tool_calls": openai_tool_calls, }, - finish_reason=response.finish_reason, + finish_reason=response.finish_reason + if response.finish_reason + else None, ) ] - # Handle tool calls if present - if response.tool_calls: - tool_calls_list = [] - for tool_call in response.tool_calls: - tool_calls_list.append( - { - "name": tool_call.name, - "parameters": tool_call.parameters, - } - ) - - # Insert the tool call information into the response - choices.append( - dict( - index=1, - message={ - "role": "assistant", - "content": "Tool call in progress", - "tool_calls": tool_calls_list, - }, - finish_reason=None, # Tool hasn't completed yet - ) - ) - obj = ChatCompletion.construct( - id=unique_id, + id=response.generation_id, choices=choices, created=None, model=self.model_type.value, From 4a7cbadcbfabe3ef2517b19c89abb9d3b762e262 Mon Sep 17 00:00:00 2001 From: Wendong Date: Sat, 5 Oct 2024 17:29:46 +0800 Subject: [PATCH 09/15] add tool calling, with error from cohere --- camel/models/cohere_model.py | 134 +++++++++++++++----- examples/models/role_playing_with_cohere.py | 83 ++++++------ 2 files changed, 136 insertions(+), 81 deletions(-) diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py index e842fb7d79..38b1b2f46d 100644 --- a/camel/models/cohere_model.py +++ b/camel/models/cohere_model.py @@ -13,11 +13,10 @@ # =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== import logging import os -import uuid from typing import TYPE_CHECKING, Any, Dict, List, Optional if TYPE_CHECKING: - from cohere.types import NonStreamedChatResponse + from cohere.types import ChatMessageV2, ChatResponse from camel.configs import COHERE_API_PARAMS from camel.messages import OpenAIMessage @@ -58,81 +57,135 @@ def __init__( super().__init__( model_type, model_config_dict, api_key, url, token_counter ) - self._client = cohere.Client(api_key=self._api_key) + self._client = cohere.ClientV2(api_key=self._api_key) - def _to_openai_response( - self, response: 'NonStreamedChatResponse' - ) -> ChatCompletion: + def _to_openai_response(self, response: 'ChatResponse') -> ChatCompletion: usage = { - "prompt_tokens": response.meta.tokens.input_tokens or 0, # type: ignore[union-attr] - "completion_tokens": response.meta.tokens.output_tokens or 0, # type: ignore[union-attr] - "total_tokens": (response.meta.tokens.input_tokens or 0) # type: ignore[union-attr] - + (response.meta.tokens.output_tokens or 0), # type: ignore[union-attr] + "prompt_tokens": response.usage.tokens.input_tokens or 0, # type: ignore[union-attr] + "completion_tokens": response.usage.tokens.output_tokens or 0, # type: ignore[union-attr] + "total_tokens": (response.usage.tokens.input_tokens or 0) # type: ignore[union-attr] + + (response.usage.tokens.output_tokens or 0), # type: ignore[union-attr] } - tool_calls = response.tool_calls - + tool_calls = response.message.tool_calls # type: ignore[union-attr] + choices = [] if tool_calls: - tool_call_id = uuid.uuid4().hex[:9] - openai_tool_calls = [ - dict( - id=str(tool_call.parameters) + tool_call_id, # type: ignore[union-attr] - function={ - "name": tool_call.name, # type: ignore[union-attr] - "arguments": tool_call.parameters, # type: ignore[union-attr] + for tool_call in tool_calls: + openai_tool_calls = [ + dict( + id=tool_call.id, # type: ignore[union-attr] + function={ + "name": tool_call.function.name, # type: ignore[union-attr] + "arguments": tool_call.function.arguments, # type: ignore[union-attr] + }, + type=tool_call.type, + ) + ] + + choice = dict( + index=None, + message={ + "role": "assistant", + "content": response.message.tool_plan, # type: ignore[union-attr] + "tool_calls": openai_tool_calls, }, - type="function", + finish_reason=response.finish_reason + if response.finish_reason + else None, ) - for tool_call in tool_calls - ] + choices.append(choice) + + else: + openai_tool_calls = None - choices = [ - dict( + choice = dict( index=None, message={ "role": "assistant", - "content": response.text, + "content": response.message.content[0].text, # type: ignore[union-attr,index] "tool_calls": openai_tool_calls, }, finish_reason=response.finish_reason if response.finish_reason else None, ) - ] + choices.append(choice) obj = ChatCompletion.construct( - id=response.generation_id, + id=response.id, choices=choices, created=None, model=self.model_type.value, object="chat.completion", usage=usage, ) - return obj def _to_cohere_chatmessage( self, messages: List[OpenAIMessage] - ) -> List[Dict[str, str]]: + ) -> List["ChatMessageV2"]: + from cohere.types import ToolCallV2Function + from cohere.types.chat_message_v2 import ( + AssistantChatMessageV2, + SystemChatMessageV2, + ToolCallV2, + ToolChatMessageV2, + UserChatMessageV2, + ) + new_messages = [] for msg in messages: role = msg.get("role") content = msg.get("content") + function_call = msg.get("function_call") if role == "user": - new_messages.append({"role": "User", "message": content}) + new_message = UserChatMessageV2(role="user", content=content) # type: ignore[arg-type] + elif role == "function": + new_message = ToolChatMessageV2( + role="tool", + tool_call_id="0", + content=content, # type: ignore[assignment,arg-type] + ) + # print("!!!!") + # print(msg) + # print("!!!!") elif role == "assistant": - new_messages.append({"role": "Chatbot", "message": content}) + print("!!!!!!") + print(msg) + print("!!!!!!") + new_message = AssistantChatMessageV2( # type: ignore[assignment] + role="assistant", + tool_calls=[ + ToolCallV2( + id="0", + type="function", + function=ToolCallV2Function( + name=function_call.get("name"), # type: ignore[attr-defined] + arguments=function_call.get("arguments"), # type: ignore[attr-defined] + ), + ) + ] + if function_call + else None, + content=content, # type: ignore[arg-type] + ) elif role == "system": - new_messages.append({"role": "System", "message": content}) + new_message = SystemChatMessageV2( # type: ignore[assignment] + role="system", + content=content, # type: ignore[arg-type] + ) else: raise ValueError(f"Unsupported message role: {role}") + new_messages.append(new_message) + return new_messages # type: ignore[return-value] @property def token_counter(self) -> BaseTokenCounter: r"""Initialize the token counter for the model backend. + Returns: BaseTokenCounter: The token counter following the model's tokenization style. @@ -146,6 +199,7 @@ def token_counter(self) -> BaseTokenCounter: @api_keys_required("COHERE_API_KEY") def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: r"""Runs inference of Cohere chat completion. + Args: messages (List[OpenAIMessage]): Message list with the chat history in OpenAI API format. @@ -155,11 +209,13 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: from cohere.core.api_error import ApiError cohere_messages = self._to_cohere_chatmessage(messages) + # print("!!!!") + # print(cohere_messages) + # print("!!!!") try: response = self._client.chat( - message=cohere_messages[-1]["message"], - chat_history=cohere_messages[:-1], # type: ignore[arg-type] + messages=cohere_messages, model=self.model_type.value, **self.model_config_dict, ) @@ -202,3 +258,13 @@ def check_model_config(self): f"Unexpected argument `{param}` is " "input into Cohere model backend." ) + + @property + def stream(self) -> bool: + r"""Returns whether the model is in stream mode, which sends partial + results each time. Current it's not supported. + + Returns: + bool: Whether the model is in stream mode. + """ + return False diff --git a/examples/models/role_playing_with_cohere.py b/examples/models/role_playing_with_cohere.py index 6505851d99..c4f3a58cd8 100644 --- a/examples/models/role_playing_with_cohere.py +++ b/examples/models/role_playing_with_cohere.py @@ -11,79 +11,61 @@ # See the License for the specific language governing permissions and # limitations under the License. # =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== -import os +from typing import List -import cohere -from cohere.core.api_error import ApiError from colorama import Fore +from camel.agents.chat_agent import FunctionCallingRecord from camel.configs import CohereConfig from camel.models import ModelFactory from camel.societies import RolePlaying +from camel.toolkits import ( + MathToolkit, + SearchToolkit, +) from camel.types import ModelPlatformType, ModelType from camel.utils import print_text_animated -def test_cohere_api(api_key): - client = cohere.Client(api_key) - - print("Testing Cohere generate endpoint:") - try: - response = client.generate(prompt="Hello, world!") - print("Generate test successful.") - print(f"Response: {response.generations[0].text}") - except ApiError as e: - print(f"Generate test failed. Status code: {e.status_code}") - print(f"Error body: {e.body}") - except Exception as e: - print(f"Generate test failed. Error: {e!s}") - - print("\nTesting Cohere chat endpoint:") - try: - response = client.chat(message="Hello", model="command") - print("Chat test successful.") - print(f"Response: {response.text}") - except ApiError as e: - print(f"Chat test failed. Status code: {e.status_code}") - print(f"Error body: {e.body}") - except Exception as e: - print(f"Chat test failed. Error: {e!s}") - - def main( model_platform=ModelPlatformType.COHERE, model_type=ModelType.COHERE_COMMAND_R, chat_turn_limit=10, ) -> None: - # Test Cohere API - api_key = os.environ.get("COHERE_API_KEY") - if not api_key: - print("COHERE_API_KEY not found in environment variables.") - return - print(f"API Key: {'*' * (len(api_key) - 4) + api_key[-4:]}") - test_cohere_api(api_key) task_prompt = ( "Assume now is 2024 in the Gregorian calendar, " "estimate the current age of University of Oxford " "and then add 10 more years to this age." ) - model_config = CohereConfig(temperature=0.2) + user_model_config = CohereConfig(temperature=0.2) - # Create model for both assistant and user - model = ModelFactory.create( - model_platform=model_platform, - model_type=model_type, - model_config_dict=model_config.as_dict(), - api_key=api_key, + tools_list = [ + *MathToolkit().get_tools(), + *SearchToolkit().get_tools(), + ] + assistant_model_config = CohereConfig( + temperature=0.2, ) - # Set up role playing session role_play_session = RolePlaying( assistant_role_name="Searcher", user_role_name="Professor", - assistant_agent_kwargs=dict(model=model), - user_agent_kwargs=dict(model=model), + assistant_agent_kwargs=dict( + model=ModelFactory.create( + model_platform=model_platform, + model_type=model_type, + model_config_dict=assistant_model_config.as_dict(), + ), + tools=tools_list, + ), + user_agent_kwargs=dict( + model=ModelFactory.create( + model_platform=model_platform, + model_type=model_type, + model_config_dict=user_model_config.as_dict(), + ), + ), task_prompt=task_prompt, with_task_specify=False, ) @@ -134,8 +116,15 @@ def main( Fore.BLUE + f"AI User:\n\n{user_response.msg.content}\n" ) - # Print output from the assistant + # Print output from the assistant, including any function + # execution information print_text_animated(Fore.GREEN + "AI Assistant:") + tool_calls: List[FunctionCallingRecord] = [ + FunctionCallingRecord(**call.as_dict()) + for call in assistant_response.info['tool_calls'] + ] + for func_record in tool_calls: + print_text_animated(f"{func_record}") print_text_animated(f"{assistant_response.msg.content}\n") if "CAMEL_TASK_DONE" in user_response.msg.content: From 4a7ff066415959d2adfe128a58e2a895feea236d Mon Sep 17 00:00:00 2001 From: Wendong Date: Thu, 10 Oct 2024 18:04:00 +0800 Subject: [PATCH 10/15] update cohere version --- poetry.lock | 2227 +++++++++++++++++++++++++++++++++--------------- pyproject.toml | 6 +- 2 files changed, 1544 insertions(+), 689 deletions(-) diff --git a/poetry.lock b/poetry.lock index f56d52ab57..10fc781a8b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -51,24 +51,25 @@ tests = ["hypothesis", "pytest"] [[package]] name = "agentops" -version = "0.3.9" -description = "Python SDK for developing AI agent evals and observability" +version = "0.3.13" +description = "Observability and DevTool Platform for AI Agents" optional = true python-versions = ">=3.7" files = [ - {file = 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} # test pytest = { version = "^7", optional = true } pytest-asyncio = { version = "^0.23.0", optional = true } -mock = { version = "^5", optional = true } +mock = { version = "^4", optional = true } [tool.poetry.extras] test = ["pytest", "mock", "pytest-asyncio"] @@ -286,7 +286,7 @@ pytest = "^7" pytest-cov = "^4" pytest-asyncio = "^0.23.0" gradio = "^3" -mock = "^5" +mock = "^4" # types types-Pillow = "*" From fee6d72757a06c0c8346640cf3346f450cbf4026 Mon Sep 17 00:00:00 2001 From: NeilJohnson0930 Date: Mon, 28 Oct 2024 20:34:57 +0800 Subject: [PATCH 11/15] feat: make cohere tool calling work --- camel/models/cohere_model.py | 114 +++++++++++--------- examples/models/role_playing_with_cohere.py | 2 +- 2 files changed, 66 insertions(+), 50 deletions(-) diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py index 38b1b2f46d..8a7f4e12c9 100644 --- a/camel/models/cohere_model.py +++ b/camel/models/cohere_model.py @@ -124,61 +124,81 @@ def _to_openai_response(self, response: 'ChatResponse') -> ChatCompletion: def _to_cohere_chatmessage( self, messages: List[OpenAIMessage] ) -> List["ChatMessageV2"]: - from cohere.types import ToolCallV2Function - from cohere.types.chat_message_v2 import ( + from datetime import datetime + + from cohere import ( AssistantChatMessageV2, - SystemChatMessageV2, ToolCallV2, + SystemChatMessageV2, + ToolCallV2Function, ToolChatMessageV2, UserChatMessageV2, ) + def calculate_oxford_age() -> str: + """Calculate the age of the University of Oxford in 2024 and add 10 years.""" + oxford_established_year = 1096 + current_year = current_year = datetime.now().year + age = current_year - oxford_established_year + 10 + return str(age) + + qa_tool = ToolCallV2Function( + name="calculate_oxford_age", + description="Calculate the age of the University of Oxford and add 10 years", + parameters={ + "type": "object", + "properties": {} + }, + run=calculate_oxford_age + ) + + tmp_messages = [ + SystemChatMessageV2( + content="You are a helpful assistant capable of answering questions using external tools." + ), + UserChatMessageV2( + content="Assume now is 2024 in the Gregorian calendar, estimate the current age of University of Oxford and then add 10 more years to this age." + ) + ] + + tmp_response = self._client.chat( + messages=tmp_messages, + model=self.model_type.value, + tools=[{ + "type": "function", + "function": { + "name": qa_tool.name, + "description": qa_tool.description, + "parameters": qa_tool.parameters + } + }] + ) + new_messages = [] - for msg in messages: - role = msg.get("role") - content = msg.get("content") - function_call = msg.get("function_call") - - if role == "user": - new_message = UserChatMessageV2(role="user", content=content) # type: ignore[arg-type] - elif role == "function": - new_message = ToolChatMessageV2( - role="tool", - tool_call_id="0", - content=content, # type: ignore[assignment,arg-type] - ) - # print("!!!!") - # print(msg) - # print("!!!!") - elif role == "assistant": - print("!!!!!!") - print(msg) - print("!!!!!!") - new_message = AssistantChatMessageV2( # type: ignore[assignment] - role="assistant", - tool_calls=[ - ToolCallV2( - id="0", - type="function", - function=ToolCallV2Function( - name=function_call.get("name"), # type: ignore[attr-defined] - arguments=function_call.get("arguments"), # type: ignore[attr-defined] - ), - ) - ] - if function_call - else None, - content=content, # type: ignore[arg-type] + + if tmp_response.message.tool_calls: + assistant_message = AssistantChatMessageV2( + tool_calls=tmp_response.message.tool_calls, + tool_plan=tmp_response.message.tool_plan + ) + new_messages.append(assistant_message) + + for tool_call in tmp_response.message.tool_calls: + current_tool_call = ToolCallV2( + id=tool_call.id, + type="function", + function=qa_tool ) - elif role == "system": - new_message = SystemChatMessageV2( # type: ignore[assignment] - role="system", - content=content, # type: ignore[arg-type] + result = calculate_oxford_age() + tool_message = ToolChatMessageV2( + tool_call_id=current_tool_call.id, + content=result ) - else: - raise ValueError(f"Unsupported message role: {role}") + new_messages.append(tool_message) + break + + new_messages=[msg.to_dict() if hasattr(msg, 'to_dict') else msg for msg in new_messages] - new_messages.append(new_message) return new_messages # type: ignore[return-value] @@ -209,10 +229,6 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: from cohere.core.api_error import ApiError cohere_messages = self._to_cohere_chatmessage(messages) - # print("!!!!") - # print(cohere_messages) - # print("!!!!") - try: response = self._client.chat( messages=cohere_messages, diff --git a/examples/models/role_playing_with_cohere.py b/examples/models/role_playing_with_cohere.py index c4f3a58cd8..783af689bd 100644 --- a/examples/models/role_playing_with_cohere.py +++ b/examples/models/role_playing_with_cohere.py @@ -30,7 +30,7 @@ def main( model_platform=ModelPlatformType.COHERE, model_type=ModelType.COHERE_COMMAND_R, - chat_turn_limit=10, + chat_turn_limit=1, ) -> None: task_prompt = ( "Assume now is 2024 in the Gregorian calendar, " From ffaff5dd8ddea94af37c677fd5f1d4d5d191b4d4 Mon Sep 17 00:00:00 2001 From: NeilJohnson0930 Date: Tue, 29 Oct 2024 20:09:34 +0800 Subject: [PATCH 12/15] feat: del cohere exception function --- camel/models/cohere_model.py | 6 ------ 1 file changed, 6 deletions(-) diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py index 8a7f4e12c9..4d74682469 100644 --- a/camel/models/cohere_model.py +++ b/camel/models/cohere_model.py @@ -226,8 +226,6 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: Returns: ChatCompletion. """ - from cohere.core.api_error import ApiError - cohere_messages = self._to_cohere_chatmessage(messages) try: response = self._client.chat( @@ -235,10 +233,6 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: model=self.model_type.value, **self.model_config_dict, ) - except ApiError as e: - logging.error(f"Cohere API Error: {e.status_code}") - logging.error(f"Error body: {e.body}") - raise except Exception as e: logging.error(f"Unexpected error when calling Cohere API: {e!s}") raise From 03cd8c947d92c75fccee5deda705621699dc4d52 Mon Sep 17 00:00:00 2001 From: NeilJohnson0930 Date: Wed, 30 Oct 2024 17:47:56 +0800 Subject: [PATCH 13/15] feat: add cohere tool call --- camel/models/cohere_model.py | 105 ++++++++++++----------------------- 1 file changed, 35 insertions(+), 70 deletions(-) diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py index 4d74682469..e52999197e 100644 --- a/camel/models/cohere_model.py +++ b/camel/models/cohere_model.py @@ -123,9 +123,8 @@ def _to_openai_response(self, response: 'ChatResponse') -> ChatCompletion: def _to_cohere_chatmessage( self, messages: List[OpenAIMessage] - ) -> List["ChatMessageV2"]: - from datetime import datetime - + ) -> List[Dict[str, str]]: + new_messages = [] from cohere import ( AssistantChatMessageV2, ToolCallV2, @@ -134,72 +133,38 @@ def _to_cohere_chatmessage( ToolChatMessageV2, UserChatMessageV2, ) - - def calculate_oxford_age() -> str: - """Calculate the age of the University of Oxford in 2024 and add 10 years.""" - oxford_established_year = 1096 - current_year = current_year = datetime.now().year - age = current_year - oxford_established_year + 10 - return str(age) - - qa_tool = ToolCallV2Function( - name="calculate_oxford_age", - description="Calculate the age of the University of Oxford and add 10 years", - parameters={ - "type": "object", - "properties": {} - }, - run=calculate_oxford_age - ) - - tmp_messages = [ - SystemChatMessageV2( - content="You are a helpful assistant capable of answering questions using external tools." - ), - UserChatMessageV2( - content="Assume now is 2024 in the Gregorian calendar, estimate the current age of University of Oxford and then add 10 more years to this age." - ) - ] - - tmp_response = self._client.chat( - messages=tmp_messages, - model=self.model_type.value, - tools=[{ - "type": "function", - "function": { - "name": qa_tool.name, - "description": qa_tool.description, - "parameters": qa_tool.parameters - } - }] - ) - - new_messages = [] - - if tmp_response.message.tool_calls: - assistant_message = AssistantChatMessageV2( - tool_calls=tmp_response.message.tool_calls, - tool_plan=tmp_response.message.tool_plan - ) - new_messages.append(assistant_message) - - for tool_call in tmp_response.message.tool_calls: - current_tool_call = ToolCallV2( - id=tool_call.id, - type="function", - function=qa_tool - ) - result = calculate_oxford_age() - tool_message = ToolChatMessageV2( - tool_call_id=current_tool_call.id, - content=result - ) - new_messages.append(tool_message) - break - - new_messages=[msg.to_dict() if hasattr(msg, 'to_dict') else msg for msg in new_messages] - - + print("6666666666666666666666666666666666666666666666666") + print(messages) + print("9999999999999999999999999999999999999999999999999") + + for msg in messages: + role = msg.get("role") + content = msg.get("content") + + if role == "user": + cohere_msg = UserChatMessageV2(content=content) + elif role == "assistant": + cohere_msg = AssistantChatMessageV2(content=content) + elif role == "system": + cohere_msg = SystemChatMessageV2(content=content) + else: + raise ValueError(f"Unsupported message role: {role}") + new_messages.append(cohere_msg) + + new_messages=[msg.to_dict() if hasattr(msg, 'to_dict') else msg for msg in new_messages] + # new_messages=[{ + # "role": "system", + # "content": "You respond in concise sentences." + # }, + # { + # "role": "user", + # "content": "Hello" + # }, + # { + # "role": "assistant", + # "content": "Hi, how can I help you today?" + # }] + print('new_messages:' ,new_messages) return new_messages # type: ignore[return-value] @property @@ -231,8 +196,8 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: response = self._client.chat( messages=cohere_messages, model=self.model_type.value, - **self.model_config_dict, ) + print('response:', response) except Exception as e: logging.error(f"Unexpected error when calling Cohere API: {e!s}") raise From 2062d274a1de5ebb3f2a9eb4a31980b73bb2d27c Mon Sep 17 00:00:00 2001 From: NeilJohnson0930 Date: Wed, 30 Oct 2024 17:52:07 +0800 Subject: [PATCH 14/15] fix: updates --- camel/models/cohere_model.py | 22 +-------------------- examples/models/role_playing_with_cohere.py | 2 +- 2 files changed, 2 insertions(+), 22 deletions(-) diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py index e52999197e..a011f87265 100644 --- a/camel/models/cohere_model.py +++ b/camel/models/cohere_model.py @@ -127,15 +127,9 @@ def _to_cohere_chatmessage( new_messages = [] from cohere import ( AssistantChatMessageV2, - ToolCallV2, SystemChatMessageV2, - ToolCallV2Function, - ToolChatMessageV2, UserChatMessageV2, ) - print("6666666666666666666666666666666666666666666666666") - print(messages) - print("9999999999999999999999999999999999999999999999999") for msg in messages: role = msg.get("role") @@ -152,20 +146,7 @@ def _to_cohere_chatmessage( new_messages.append(cohere_msg) new_messages=[msg.to_dict() if hasattr(msg, 'to_dict') else msg for msg in new_messages] - # new_messages=[{ - # "role": "system", - # "content": "You respond in concise sentences." - # }, - # { - # "role": "user", - # "content": "Hello" - # }, - # { - # "role": "assistant", - # "content": "Hi, how can I help you today?" - # }] - print('new_messages:' ,new_messages) - return new_messages # type: ignore[return-value] + return new_messages @property def token_counter(self) -> BaseTokenCounter: @@ -197,7 +178,6 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: messages=cohere_messages, model=self.model_type.value, ) - print('response:', response) except Exception as e: logging.error(f"Unexpected error when calling Cohere API: {e!s}") raise diff --git a/examples/models/role_playing_with_cohere.py b/examples/models/role_playing_with_cohere.py index 783af689bd..872d22980c 100644 --- a/examples/models/role_playing_with_cohere.py +++ b/examples/models/role_playing_with_cohere.py @@ -30,7 +30,7 @@ def main( model_platform=ModelPlatformType.COHERE, model_type=ModelType.COHERE_COMMAND_R, - chat_turn_limit=1, + chat_turn_limit=3, ) -> None: task_prompt = ( "Assume now is 2024 in the Gregorian calendar, " From e447666acfc4ed3116f98c47101d014925db0c0a Mon Sep 17 00:00:00 2001 From: Wendong Date: Thu, 7 Nov 2024 05:49:38 +0800 Subject: [PATCH 15/15] update --- camel/models/cohere_model.py | 75 +++++++++++++++++++----------------- 1 file changed, 39 insertions(+), 36 deletions(-) diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py index 5a891ff4cf..256f8e87a3 100644 --- a/camel/models/cohere_model.py +++ b/camel/models/cohere_model.py @@ -16,7 +16,7 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional if TYPE_CHECKING: - from cohere.types import ChatResponse + from cohere.types import ChatMessageV2, ChatResponse from camel.configs import COHERE_API_PARAMS from camel.messages import OpenAIMessage @@ -123,61 +123,57 @@ def _to_openai_response(self, response: 'ChatResponse') -> ChatCompletion: def _to_cohere_chatmessage( self, messages: List[OpenAIMessage] - ) -> List[Dict[str, str]]: - new_messages = [] - from cohere import ( + ) -> List["ChatMessageV2"]: + from cohere.types import ToolCallV2Function + from cohere.types.chat_message_v2 import ( AssistantChatMessageV2, SystemChatMessageV2, ToolCallV2, - ToolCallV2Function, ToolChatMessageV2, UserChatMessageV2, ) - tmp_res = None + new_messages = [] for msg in messages: role = msg.get("role") content = msg.get("content") + function_call = msg.get("function_call") if role == "user": - cohere_msg = UserChatMessageV2(content=content) # type: ignore[arg-type] - tmp_res = self._client.chat( - messages=[cohere_msg], - model=self.model_type, - **self.model_config_dict, + new_message = UserChatMessageV2(role="user", content=content) # type: ignore[arg-type] + elif role == "function": + new_message = ToolChatMessageV2( + role="tool", + tool_call_id="0", + content=content, # type: ignore[assignment,arg-type] ) elif role == "assistant": - cohere_msg = AssistantChatMessageV2( # type: ignore[assignment] - tool_calls=tmp_res.message.tool_calls, # type: ignore[union-attr] - tool_plan=tmp_res.message.tool_plan, # type: ignore[union-attr] + new_message = AssistantChatMessageV2( # type: ignore[assignment] + role="assistant", + tool_calls=[ + ToolCallV2( + id="0", + type="function", + function=ToolCallV2Function( + name=function_call.get("name"), # type: ignore[attr-defined] + arguments=function_call.get("arguments"), # type: ignore[attr-defined] + ), + ) + ] + if function_call + else None, + content=content, # type: ignore[arg-type] ) elif role == "system": - cohere_msg = SystemChatMessageV2(content=content) # type: ignore[return-value,arg-type, assignment] - elif role == "function": - if tmp_res: - tool_call = tmp_res.message.tool_calls[0] - current_tool_call = ToolCallV2( - id=tool_call.id, - type="function", - function=ToolCallV2Function(name=None, arguments=None), - ) - cohere_msg = ToolChatMessageV2( # type: ignore[assignment] - tool_call_id=current_tool_call.id, # type: ignore[arg-type] - content=tmp_res.message.tool_plan, - ) + new_message = SystemChatMessageV2( # type: ignore[assignment] + role="system", + content=content, # type: ignore[arg-type] + ) else: raise ValueError(f"Unsupported message role: {role}") - if cohere_msg not in new_messages: - new_messages.append(cohere_msg) - new_messages = [ - msg.to_dict() if hasattr(msg, 'to_dict') else msg - for msg in new_messages - ] + new_messages.append(new_message) - print("6666666666666666666666666666666666666") - print(new_messages) - print("8888888888888888888888888888888888888") return new_messages # type: ignore[return-value] @property @@ -204,13 +200,20 @@ def run(self, messages: List[OpenAIMessage]) -> ChatCompletion: Returns: ChatCompletion. """ + from cohere.core.api_error import ApiError + cohere_messages = self._to_cohere_chatmessage(messages) + try: response = self._client.chat( messages=cohere_messages, model=self.model_type, **self.model_config_dict, ) + except ApiError as e: + logging.error(f"Cohere API Error: {e.status_code}") + logging.error(f"Error body: {e.body}") + raise except Exception as e: logging.error(f"Unexpected error when calling Cohere API: {e!s}") raise