From 5a2e4e2e4cb21711c9f9d07c53029328ed44394a Mon Sep 17 00:00:00 2001 From: Neil Johnson Date: Mon, 18 Nov 2024 21:01:05 +0800 Subject: [PATCH 1/6] feat: Update guide for applying and using keys in camel (#1176) Co-authored-by: Wendong --- .env | 78 ++++ .gitignore | 1 - README.md | 31 ++ poetry.lock | 1244 +++++++++++++++++++++++++-------------------------- 4 files changed, 720 insertions(+), 634 deletions(-) create mode 100644 .env diff --git a/.env b/.env new file mode 100644 index 0000000000..61c74f6ce7 --- /dev/null +++ b/.env @@ -0,0 +1,78 @@ +# To use these environment variables: +# 1. Populate the .env file with your API keys. +# 2. Include the following code snippet in your Python script: +# from dotenv import load_dotenv +# import os +# +# load_dotenv() # Load environment variables from .env file + +#=========================================== +# Models API +#=========================================== + +# OpenAI API (https://platform.openai.com/signup) +OPENAI_API_KEY="Fill your API key here" + +# Anthropic API (https://www.anthropic.com/) +ANTHROPIC_API_KEY="Fill your API key here" + +# Groq API (https://groq.com/) +GROQ_API_KEY="Fill your API key here" + +# Cohere API (https://cohere.ai/) +COHERE_API_KEY="Fill your API key here" + +# Hugging Face API (https://huggingface.co/join) +HF_TOKEN="Fill your API key here" + +# Azure OpenAI API (https://azure.microsoft.com/products/cognitive-services/openai-service/) +AZURE_OPENAI_API_KEY="Fill your API key here" +AZURE_API_VERSION="Fill your API Version here" +AZURE_DEPLOYMENT_NAME="Fill your Deployment Name here" +AZURE_OPENAI_BASE_URL="Fill your Base URL here" + +# Mistral API (https://mistral.ai/) +MISTRAL_API_KEY="Fill your API key here" + +# Reka API (https://www.reka.ai/) +REKA_API_KEY="Fill your API key here" + +# Zhipu AI API (https://www.zhipu.ai/) +ZHIPUAI_API_KEY="Fill your API key here" +ZHIPUAI_API_BASE_URL="Fill your Base URL here" + +# Qwen API (https://help.aliyun.com/document_detail/611472.html) +QWEN_API_KEY="Fill your API key here" + +# LingYi API (https://platform.lingyiwanwu.com/apikeys) +YI_API_KEY="Fill your API key here" + +#=========================================== +# Tools & Services API +#=========================================== + +# Google Search API (https://developers.google.com/custom-search/v1/overview) +GOOGLE_API_KEY="Fill your API key here" +SEARCH_ENGINE_ID="Fill your API key here" + +# OpenWeatherMap API (https://home.openweathermap.org/users/sign_up) +OPENWEATHERMAP_API_KEY="Fill your API key here" + +# NVIDIA API (https://build.nvidia.com/explore/discover) +NVIDIA_API_BASE_URL="Fill your API key here" +NVIDIA_API_KEY="Fill your API key here" + +# Neo4j Database (https://neo4j.com/) +NEO4J_URI="Fill your API key here" +NEO4J_USERNAME="Fill your User Name here" +NEO4J_PASSWORD="Fill your Password here" + +# Firecrawl API (https://www.firecrawl.dev/) +FIRECRAWL_API_KEY="Fill your API key here" + +# AskNews API (https://docs.asknews.app/en/reference) +ASKNEWS_CLIENT_ID="Fill your Client ID here" +ASKNEWS_CLIENT_SECRET="Fill your Client Secret here" + +# Chunkr API (https://chunkr.ai/) +CHUNKR_API_KEY="Fill your API key here" diff --git a/.gitignore b/.gitignore index c22ca3a2f0..e3ea245a47 100644 --- a/.gitignore +++ b/.gitignore @@ -125,7 +125,6 @@ celerybeat.pid *.sage.py # Environments -.env .venv env/ venv/ diff --git a/README.md b/README.md index f767cb1125..1fa635a6a4 100644 --- a/README.md +++ b/README.md @@ -207,6 +207,37 @@ Replace `` with your actual OpenAI API key in each c Please note that the environment variable is session-specific. If you open a new terminal window or tab, you will need to set the API key again in that new session. +**For `.env` File:** + +To simplify the process of managing API Keys, you can use store information in a `.env` file and load them into your application dynamically. + +1. Modify .env file in the root directory of CAMEL and fill the following lines: + +```bash +OPENAI_API_KEY= +``` + +Replace with your actual API key. + +2. Load the .env file in your Python script: Use the load_dotenv() function from the dotenv module to load the variables from the .env file into the environment. Here's an example: + +```python +from dotenv import load_dotenv +import os + +# Load environment variables from the .env file +load_dotenv() +``` +For more details about the key names in project and how to apply key, +you can refer to [here](https://github.com/camel-ai/camel/.env). + +> [!TIP] +> By default, the load_dotenv() function does not overwrite existing environment variables that are already set in your system. It only populates variables that are missing. +If you need to overwrite existing environment variables with the values from your `.env` file, use the `override=True` parameter: +> ```python +> load_dotenv(override=True) +> ``` + After setting the OpenAI API key, you can run the `role_playing.py` script. Find tasks for various assistant-user roles [here](https://drive.google.com/file/d/194PPaSTBR07m-PzjS-Ty6KlPLdFIPQDd/view?usp=share_link). ```bash diff --git a/poetry.lock b/poetry.lock index 7c0ba2b1d1..3597a32ca5 100644 --- a/poetry.lock +++ b/poetry.lock @@ -95,112 +95,98 @@ files = [ [[package]] name = "aiohttp" -version = "3.10.10" +version = "3.11.2" description = "Async http client/server framework (asyncio)" optional = true -python-versions = ">=3.8" +python-versions = ">=3.9" files = [ - {file = "aiohttp-3.10.10-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be7443669ae9c016b71f402e43208e13ddf00912f47f623ee5994e12fc7d4b3f"}, - {file = "aiohttp-3.10.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7b06b7843929e41a94ea09eb1ce3927865387e3e23ebe108e0d0d09b08d25be9"}, - {file = "aiohttp-3.10.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:333cf6cf8e65f6a1e06e9eb3e643a0c515bb850d470902274239fea02033e9a8"}, - {file = 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17:32:41 +0300 Subject: [PATCH 2/6] feat: Add support for Gemini-Exp-1114 model (#1187) (#1189) --- camel/types/enums.py | 3 +++ docs/key_modules/models.md | 3 ++- examples/models/gemini_model_example.py | 30 +++++++++++++++++++++++++ test/models/test_gemini_model.py | 1 + 4 files changed, 36 insertions(+), 1 deletion(-) diff --git a/camel/types/enums.py b/camel/types/enums.py index adcf3bc9a5..61fc21b90c 100644 --- a/camel/types/enums.py +++ b/camel/types/enums.py @@ -70,6 +70,7 @@ class ModelType(UnifiedModelType, Enum): # Gemini models GEMINI_1_5_FLASH = "gemini-1.5-flash" GEMINI_1_5_PRO = "gemini-1.5-pro" + GEMINI_EXP_1114 = "gemini-exp-1114" # Mistral AI models MISTRAL_3B = "ministral-3b-latest" @@ -232,6 +233,7 @@ def is_gemini(self) -> bool: return self in { ModelType.GEMINI_1_5_FLASH, ModelType.GEMINI_1_5_PRO, + ModelType.GEMINI_EXP_1114, } @property @@ -384,6 +386,7 @@ def token_limit(self) -> int: elif self in { ModelType.GEMINI_1_5_FLASH, ModelType.GEMINI_1_5_PRO, + ModelType.GEMINI_EXP_1114, # Not given in docs, assuming the same }: return 1_048_576 elif self in { diff --git a/docs/key_modules/models.md b/docs/key_modules/models.md index 95b3954439..2a2fd710c5 100644 --- a/docs/key_modules/models.md +++ b/docs/key_modules/models.md @@ -40,7 +40,8 @@ The following table lists currently supported model platforms by CAMEL. | Anthropic | claude-3-opus-20240229 | Y | | Anthropic | claude-2.0 | N | | Gemini | gemini-1.5-pro | Y | -| Gemini | ggemini-1.5-flash | Y | +| Gemini | gemini-1.5-flash | Y | +| Gemini | gemini-exp-1114 | Y | | Lingyiwanwu | yi-lightning | N | | Lingyiwanwu | yi-large | N | | Lingyiwanwu | yi-medium | N | diff --git a/examples/models/gemini_model_example.py b/examples/models/gemini_model_example.py index 21c71a0b7c..c95a890a5e 100644 --- a/examples/models/gemini_model_example.py +++ b/examples/models/gemini_model_example.py @@ -43,3 +43,33 @@ doing in this area. Keep up the great work! 🤖 =============================================================================== ''' + + +# Example of using the newest Gemini-Exp-1114 model +model_exp = ModelFactory.create( + model_platform=ModelPlatformType.GEMINI, + model_type=ModelType.GEMINI_EXP_1114, + model_config_dict=GeminiConfig(temperature=0.2).as_dict(), +) +camel_agent_exp = ChatAgent(system_message=sys_msg, model=model_exp) +response_exp = camel_agent_exp.step(user_msg) +print(response_exp.msgs[0].content) + +''' +=============================================================================== +Hi CAMEL AI! It's great to connect with you, an open-source community +dedicated to the fascinating study of autonomous and communicative agents. + +Your work sounds incredibly exciting and important. The potential of +autonomous agents to collaborate and communicate effectively is truly +transformative. I'm eager to see the advancements and breakthroughs that come +from your community. + +Keep up the fantastic work! If there's anything I can assist with, please +don't hesitate to ask. Perhaps I can help with brainstorming ideas, +summarizing information, or even generating creative content related to your +research. + +Let me know how I can be of service! +=============================================================================== +''' diff --git a/test/models/test_gemini_model.py b/test/models/test_gemini_model.py index 97d6f458ed..4a56c09505 100644 --- a/test/models/test_gemini_model.py +++ b/test/models/test_gemini_model.py @@ -27,6 +27,7 @@ [ ModelType.GEMINI_1_5_FLASH, ModelType.GEMINI_1_5_PRO, + ModelType.GEMINI_EXP_1114, ], ) def test_gemini_model(model_type: ModelType): From f972161a9110f27ac00dff5a10f73fd41601804d Mon Sep 17 00:00:00 2001 From: Wendong-Fan <133094783+Wendong-Fan@users.noreply.github.com> Date: Wed, 20 Nov 2024 03:06:40 +0800 Subject: [PATCH 3/6] feat: Integrate cohere models (#932) Co-authored-by: NeilJohnson0930 --- camel/configs/__init__.py | 3 + camel/configs/cohere_config.py | 76 +++++ camel/models/__init__.py | 2 + camel/models/cohere_model.py | 282 ++++++++++++++++++ camel/models/model_factory.py | 3 + camel/retrievers/cohere_rerank_retriever.py | 8 +- camel/types/enums.py | 33 +++ camel/types/unified_model_type.py | 5 + examples/models/cohere_model_example.py | 48 +++ examples/models/role_playing_with_cohere.py | 138 +++++++++ poetry.lock | 305 +++++++++++--------- pyproject.toml | 6 +- test/models/test_cohere_model.py | 59 ++++ 13 files changed, 824 insertions(+), 144 deletions(-) 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 create mode 100644 test/models/test_cohere_model.py diff --git a/camel/configs/__init__.py b/camel/configs/__init__.py index 72c3c3717f..752bc0b862 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 @@ -60,6 +61,8 @@ 'SAMBA_CLOUD_API_PARAMS', 'TogetherAIConfig', 'TOGETHERAI_API_PARAMS', + 'CohereConfig', + 'COHERE_API_PARAMS', 'YiConfig', 'YI_API_PARAMS', 'QwenConfig', diff --git a/camel/configs/cohere_config.py b/camel/configs/cohere_config.py new file mode 100644 index 0000000000..e5a2c50425 --- /dev/null +++ b/camel/configs/cohere_config.py @@ -0,0 +1,76 @@ +# =========== 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 List, Optional + +from camel.configs.base_config import BaseConfig + + +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, + while lower values make it more focused and deterministic. + (default: :obj:`0.3`) + documents (list, 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`) + 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`) + 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 (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`) + 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] = 0.2 + documents: Optional[list] = 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[int] = 0 + p: Optional[float] = 0.75 + + +COHERE_API_PARAMS = {param for param in CohereConfig().model_fields.keys()} diff --git a/camel/models/__init__.py b/camel/models/__init__.py index 0b48c0596c..8b74359223 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 @@ -42,6 +43,7 @@ 'GroqModel', 'StubModel', 'ZhipuAIModel', + 'CohereModel', 'ModelFactory', 'LiteLLMModel', 'OpenAIAudioModels', diff --git a/camel/models/cohere_model.py b/camel/models/cohere_model.py new file mode 100644 index 0000000000..7d476f0c02 --- /dev/null +++ b/camel/models/cohere_model.py @@ -0,0 +1,282 @@ +# =========== 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 ast +import json +import logging +import os +import uuid +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union + +if TYPE_CHECKING: + from cohere.types import ChatMessageV2, ChatResponse + +from camel.configs import COHERE_API_PARAMS, CohereConfig +from camel.messages import OpenAIMessage +from camel.models import BaseModelBackend +from camel.types import ChatCompletion, ModelType +from camel.utils import ( + BaseTokenCounter, + OpenAITokenCounter, + api_keys_required, +) + +try: + 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): + r"""Cohere API in a unified BaseModelBackend interface.""" + + def __init__( + self, + model_type: Union[ModelType, str], + model_config_dict: Optional[Dict[str, Any]] = None, + api_key: Optional[str] = None, + url: Optional[str] = None, + token_counter: Optional[BaseTokenCounter] = None, + ): + import cohere + + if model_config_dict is None: + model_config_dict = CohereConfig().as_dict() + + api_key = api_key or os.environ.get("COHERE_API_KEY") + url = url or os.environ.get("COHERE_API_BASE_URL") + super().__init__( + model_type, model_config_dict, api_key, url, token_counter + ) + self._client = cohere.ClientV2(api_key=self._api_key) + + def _to_openai_response(self, response: 'ChatResponse') -> ChatCompletion: + if response.usage and response.usage.tokens: + input_tokens = response.usage.tokens.input_tokens or 0 + output_tokens = response.usage.tokens.output_tokens or 0 + usage = { + "prompt_tokens": input_tokens, + "completion_tokens": output_tokens, + "total_tokens": input_tokens + output_tokens, + } + else: + usage = {} + + tool_calls = response.message.tool_calls + choices = [] + if tool_calls: + for tool_call in tool_calls: + openai_tool_calls = [ + dict( + id=tool_call.id, + function={ + "name": tool_call.function.name, + "arguments": tool_call.function.arguments, + } + if tool_call.function + else {}, + type=tool_call.type, + ) + ] + + choice = dict( + index=None, + message={ + "role": "assistant", + "content": response.message.tool_plan, + "tool_calls": openai_tool_calls, + }, + finish_reason=response.finish_reason + if response.finish_reason + else None, + ) + choices.append(choice) + + else: + openai_tool_calls = None + + choice = dict( + index=None, + message={ + "role": "assistant", + "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.id, + choices=choices, + created=None, + model=self.model_type, + object="chat.completion", + usage=usage, + ) + return obj + + def _to_cohere_chatmessage( + self, messages: List[OpenAIMessage] + ) -> List["ChatMessageV2"]: + from cohere.types import ToolCallV2Function + from cohere.types.chat_message_v2 import ( + AssistantChatMessageV2, + SystemChatMessageV2, + ToolCallV2, + ToolChatMessageV2, + UserChatMessageV2, + ) + + tool_call_id = None + 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 in {"tool", "function"}: + new_message = ToolChatMessageV2( + role="tool", + tool_call_id=tool_call_id, # type: ignore[arg-type] + content=content, # type: ignore[assignment,arg-type] + ) + elif role == "assistant": + if not function_call: + new_message = AssistantChatMessageV2( # type: ignore[assignment] + role="assistant", + content=content, # type: ignore[arg-type] + ) + else: + arguments = function_call.get("arguments") # type: ignore[attr-defined] + arguments_dict = ast.literal_eval(arguments) + arguments_json = json.dumps(arguments_dict) + + assis_tool_call_id = str(uuid.uuid4()) + tool_call_id = assis_tool_call_id + new_message = AssistantChatMessageV2( # type: ignore[assignment] + role="assistant", + tool_calls=[ + ToolCallV2( + id=assis_tool_call_id, + type="function", + function=ToolCallV2Function( + name=function_call.get("name"), # type: ignore[attr-defined] + arguments=arguments_json, # type: ignore[attr-defined] + ), + ) + ], + content=content, # type: ignore[arg-type] + ) + elif role == "system": + 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. + """ + if not self._token_counter: + self._token_counter = OpenAITokenCounter( + model=ModelType.GPT_4O_MINI + ) + return self._token_counter + + @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. + 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 + + 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] # type: ignore[misc] + ), + 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, # type: ignore[union-attr] + model=self.model_type, + ) + record(llm_event) + + return openai_response + + def check_model_config(self): + 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. + """ + for param in self.model_config_dict: + if param not in COHERE_API_PARAMS: + raise ValueError( + 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/camel/models/model_factory.py b/camel/models/model_factory.py index ca2a19fe5a..30a0da6d0f 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 @@ -108,6 +109,8 @@ 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_platform.is_yi and model_type.is_yi: model_class = YiModel elif model_platform.is_qwen and model_type.is_qwen: 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/camel/types/enums.py b/camel/types/enums.py index 61fc21b90c..53631969f5 100644 --- a/camel/types/enums.py +++ b/camel/types/enums.py @@ -89,6 +89,13 @@ class ModelType(UnifiedModelType, Enum): REKA_FLASH = "reka-flash" REKA_EDGE = "reka-edge" + # Cohere models + COHERE_COMMAND_R_PLUS = "command-r-plus" + COHERE_COMMAND_R = "command-r" + COHERE_COMMAND_LIGHT = "command-light" + COHERE_COMMAND = "command" + COHERE_COMMAND_NIGHTLY = "command-nightly" + # Qwen models (Aliyun) QWEN_MAX = "qwen-max" QWEN_PLUS = "qwen-plus" @@ -249,6 +256,21 @@ 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_PLUS, + ModelType.COHERE_COMMAND_R, + ModelType.COHERE_COMMAND_LIGHT, + ModelType.COHERE_COMMAND, + ModelType.COHERE_COMMAND_NIGHTLY, + } + @property def is_yi(self) -> bool: r"""Returns whether this type of models is Yi model. @@ -303,6 +325,8 @@ def token_limit(self) -> int: ModelType.REKA_FLASH, ModelType.QWEN_MATH_PLUS, ModelType.QWEN_MATH_TURBO, + ModelType.COHERE_COMMAND, + ModelType.COHERE_COMMAND_LIGHT, }: return 4_096 elif self in { @@ -359,6 +383,9 @@ def token_limit(self) -> int: ModelType.QWEN_2_5_72B, ModelType.QWEN_2_5_32B, ModelType.QWEN_2_5_14B, + ModelType.COHERE_COMMAND_R, + ModelType.COHERE_COMMAND_R_PLUS, + ModelType.COHERE_COMMAND_NIGHTLY, }: return 128_000 elif self in { @@ -537,6 +564,7 @@ class ModelPlatformType(Enum): TOGETHER = "together" OPENAI_COMPATIBLE_MODEL = "openai-compatible-model" SAMBA = "samba-nova" + COHERE = "cohere" YI = "lingyiwanwu" QWEN = "tongyi-qianwen" @@ -611,6 +639,11 @@ 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 + @property def is_yi(self) -> bool: r"""Returns whether this platform is Yi.""" diff --git a/camel/types/unified_model_type.py b/camel/types/unified_model_type.py index e9eec7f455..8a3dd6121b 100644 --- a/camel/types/unified_model_type.py +++ b/camel/types/unified_model_type.py @@ -98,6 +98,11 @@ def is_reka(self) -> bool: r"""Returns whether the model is a Reka model.""" return True + @property + def is_cohere(self) -> bool: + r"""Returns whether the model is a Cohere model.""" + return True + @property def is_yi(self) -> bool: r"""Returns whether the model is a Yi model.""" diff --git a/examples/models/cohere_model_example.py b/examples/models/cohere_model_example.py new file mode 100644 index 0000000000..806b3bcf91 --- /dev/null +++ b/examples/models/cohere_model_example.py @@ -0,0 +1,48 @@ +# =========== 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.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, + documents=[ + { + "id": "1", + "data": {"text": "CAMEL is the best!", "title": "The best"}, + } + ], + ).as_dict(), +) + +# Define system message +sys_msg = "You are a helpful assistant." + +# Set agent +camel_agent = ChatAgent(system_message=sys_msg, model=model) + +user_msg = """Who is the best""" + +# Get response information +response = camel_agent.step(user_msg) +print(response.msgs[0].content) +''' +=============================================================================== +According to the source I found, the best is CAMEL. +=============================================================================== +''' diff --git a/examples/models/role_playing_with_cohere.py b/examples/models/role_playing_with_cohere.py new file mode 100644 index 0000000000..76a65729d0 --- /dev/null +++ b/examples/models/role_playing_with_cohere.py @@ -0,0 +1,138 @@ +# =========== 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 typing import List + +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 ( + FunctionTool, + MathToolkit, + SearchToolkit, +) +from camel.types import ModelPlatformType, ModelType +from camel.utils import print_text_animated + + +def main( + model_platform=ModelPlatformType.COHERE, + model_type=ModelType.COHERE_COMMAND_R, + chat_turn_limit=3, +) -> None: + 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." + ) + + user_model_config = CohereConfig(temperature=0.2) + + tools_list = [ + *MathToolkit().get_tools(), + FunctionTool(SearchToolkit().search_duckduckgo), + ] + assistant_model_config = CohereConfig( + temperature=0.2, + ) + + role_play_session = RolePlaying( + assistant_role_name="Searcher", + user_role_name="Professor", + 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, + ) + + 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, 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: + break + + input_msg = assistant_response.msg + + +if __name__ == "__main__": + main() diff --git a/poetry.lock b/poetry.lock index 3597a32ca5..c3f043d23f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -95,87 +95,87 @@ files = [ [[package]] name = "aiohttp" -version = "3.11.2" +version = "3.11.5" description = "Async http 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python-versions = ">=3.9" files = [ - {file = "sentence_transformers-3.3.0-py3-none-any.whl", hash = "sha256:5897c376fde1fea5f22a90ead2612278a464e52b8e42f1af95f84092c36bc23c"}, - {file = "sentence_transformers-3.3.0.tar.gz", hash = "sha256:b91f0aea4ada72ed5a7cdbe8a6245a7152d0d9f84f336383778f8568e406b008"}, + {file = "sentence_transformers-3.3.1-py3-none-any.whl", hash = "sha256:abffcc79dab37b7d18d21a26d5914223dd42239cfe18cb5e111c66c54b658ae7"}, + {file = "sentence_transformers-3.3.1.tar.gz", hash = "sha256:9635dbfb11c6b01d036b9cfcee29f7716ab64cf2407ad9f403a2e607da2ac48b"}, ] [package.dependencies] @@ -7819,13 +7845,13 @@ slack-sdk = ">=3.33.1,<4" [[package]] name = "slack-sdk" -version = "3.33.3" +version = "3.33.4" description = "The Slack API Platform SDK for Python" optional = true python-versions = ">=3.6" files = [ - {file = "slack_sdk-3.33.3-py2.py3-none-any.whl", hash = "sha256:0515fb93cd03b18de61f876a8304c4c3cef4dd3c2a3bad62d7394d2eb5a3c8e6"}, - {file = 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"sha256:8ee4b3ae943fe33e82afff8e837f4b052058b07ca9be3cb5b729ed31295f72cc"}, ] [package.dependencies] @@ -8948,26 +8974,29 @@ urllib3 = ">=2" [[package]] name = "types-setuptools" -version = "75.5.0.20241116" +version = "75.5.0.20241121" description = "Typing stubs for setuptools" optional = false python-versions = ">=3.8" files = [ - {file = "types-setuptools-75.5.0.20241116.tar.gz", hash = "sha256:b6939ffdbc50ffdc0bcfbf14f7a6de1ddc5510906c1ca2bd62c23646e5798b1a"}, - {file = "types_setuptools-75.5.0.20241116-py3-none-any.whl", hash = "sha256:1144b2ab8fa986061f963391fdbde16df20582e3cc39c94340e71aa61cc7203f"}, + {file = "types_setuptools-75.5.0.20241121-py3-none-any.whl", hash = "sha256:8ea9489a8a9b98d4eb182d302117cbe1d5ae7c01a864e091b21a9107c2ba186c"}, + {file = "types_setuptools-75.5.0.20241121.tar.gz", hash = "sha256:47b261411cfca811681183f5371656ebc3d8e722b8ee857276fdb5402e5f6fb3"}, ] [[package]] name = "types-tqdm" -version = "4.66.0.20240417" +version = "4.67.0.20241119" description = "Typing stubs for tqdm" optional = false python-versions = ">=3.8" files = [ - {file = "types-tqdm-4.66.0.20240417.tar.gz", hash = "sha256:16dce9ef522ea8d40e4f5b8d84dd8a1166eefc13ceee7a7e158bf0f1a1421a31"}, - {file = "types_tqdm-4.66.0.20240417-py3-none-any.whl", hash = "sha256:248aef1f9986b7b8c2c12b3cb4399fc17dba0a29e7e3f3f9cd704babb879383d"}, + {file = "types-tqdm-4.67.0.20241119.tar.gz", hash = "sha256:1769e0e94d5e6d8fa814965f9cf3d9928376dd15dabcbcb784bb8769081092b4"}, + {file = "types_tqdm-4.67.0.20241119-py3-none-any.whl", hash = "sha256:a18d4eb62db0d35c52707ae13d821b5a57970755273ecb56e133ccc0ac7e7c79"}, ] +[package.dependencies] +types-requests = "*" + [[package]] name = "typing-extensions" version = "4.12.2" @@ -9894,12 +9923,12 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", type = ["pytest-mypy"] [extras] -all = ["PyMuPDF", "accelerate", "agentops", "anthropic", "apify_client", "arxiv", "arxiv2text", "asknews", "azure-storage-blob", "beautifulsoup4", "botocore", "cohere", "datacommons", "datacommons_pandas", "datasets", "diffusers", "discord.py", "docker", "docx2txt", "duckduckgo-search", "firecrawl-py", "google-cloud-storage", "google-generativeai", "googlemaps", "imageio", "ipykernel", "jupyter_client", "litellm", "mistralai", "nebula3-python", "neo4j", "newspaper3k", "nltk", "notion-client", "openapi-spec-validator", "opencv-python", "pdfplumber", "pillow", "prance", "praw", "pyTelegramBotAPI", "pydub", "pygithub", "pymilvus", "pyowm", "qdrant-client", "rank-bm25", "redis", "reka-api", "requests_oauthlib", "scholarly", "sentence-transformers", "sentencepiece", "slack-bolt", "slack-sdk", "soundfile", "tavily-python", "textblob", "torch", "torch", "transformers", "unstructured", "wikipedia", "wolframalpha"] +all = ["PyMuPDF", "accelerate", "agentops", "anthropic", "apify_client", "arxiv", "arxiv2text", "asknews", "azure-storage-blob", "beautifulsoup4", "botocore", "cohere", "cohere", "datacommons", "datacommons_pandas", "datasets", "diffusers", "discord.py", "docker", "docx2txt", "duckduckgo-search", "firecrawl-py", "google-cloud-storage", "google-generativeai", "googlemaps", "imageio", "ipykernel", "jupyter_client", "litellm", "mistralai", "nebula3-python", "neo4j", "newspaper3k", "nltk", "notion-client", "openapi-spec-validator", "opencv-python", "pdfplumber", "pillow", "prance", "praw", "pyTelegramBotAPI", "pydub", "pygithub", "pymilvus", "pyowm", "qdrant-client", "rank-bm25", "redis", "reka-api", "requests_oauthlib", "scholarly", "sentence-transformers", "sentencepiece", "slack-bolt", "slack-sdk", "soundfile", "tavily-python", "textblob", "torch", "torch", "transformers", "unstructured", "wikipedia", "wolframalpha"] encoders = ["sentence-transformers"] graph-storages = ["nebula3-python", "neo4j"] huggingface-agent = ["accelerate", "datasets", "diffusers", "opencv-python", "sentencepiece", "soundfile", "torch", "torch", "transformers"] kv-stroages = ["redis"] -model-platforms = ["anthropic", "google-generativeai", "litellm", "mistralai", "reka-api"] +model-platforms = ["anthropic", "cohere", "google-generativeai", "litellm", "mistralai", "reka-api"] object-storages = ["azure-storage-blob", "botocore", "google-cloud-storage"] rag = ["cohere", "nebula3-python", "neo4j", "pymilvus", "qdrant-client", "rank-bm25", "sentence-transformers", "unstructured"] retrievers = ["cohere", "rank-bm25"] @@ -9911,4 +9940,4 @@ vector-databases = ["pymilvus", "qdrant-client"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.13" -content-hash = "3b39b36b876fe09771ae568690559c83b030becae57cfb2cddd0482d21d395e7" +content-hash = "b4f3714651590e9275505bfe1282668485d0094a3a7fcc6d86f530c0d7ace14d" diff --git a/pyproject.toml b/pyproject.toml index 045a866fc8..8eba7a00db 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -48,6 +48,8 @@ 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 = "^0.29.0", optional = true } +cohere = { version = "^5.11.0", optional = true } + # huggingface-agent transformers = { version = "^4", optional = true } @@ -123,7 +125,6 @@ redis = { version = "^5.0.6", optional = true } # retrievers rank-bm25 = { version = "^0.2.2", optional = true } -cohere = { version = "^4.56", optional = true } # test pytest = { version = "^7", optional = true } @@ -157,6 +158,7 @@ model-platforms = [ "mistralai", "reka-api", "anthropic", + "cohere", ] huggingface-agent = [ @@ -302,6 +304,7 @@ all = [ # model platforms "litellm", "mistralai", + "cohere", "google-generativeai", "anthropic", "reka-api", @@ -448,6 +451,7 @@ module = [ "google.*", "google_generativeai", "mistralai", + "cohere", "reka-api", "agentops", "botocore.*", diff --git a/test/models/test_cohere_model.py b/test/models/test_cohere_model.py new file mode 100644 index 0000000000..dfe53f4e44 --- /dev/null +++ b/test/models/test_cohere_model.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. =========== +import re + +import pytest + +from camel.configs import CohereConfig +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, + ModelType.COHERE_COMMAND_R_PLUS, + ], +) +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_dict = {"model_path", "vicuna-7b-v1.5"} + + with pytest.raises( + ValueError, + match=re.escape( + ( + "Unexpected argument `model_path` is " + "input into Cohere model backend." + ) + ), + ): + _ = CohereModel(model_type, model_config_dict) From 146af248fb794c81f538f28ac9ceb1ea6d617fa7 Mon Sep 17 00:00:00 2001 From: Wendong-Fan <133094783+Wendong-Fan@users.noreply.github.com> Date: Wed, 20 Nov 2024 23:55:57 +0800 Subject: [PATCH 4/6] feat: support openai structured output (#1198) Co-authored-by: CaelumF --- camel/agents/chat_agent.py | 9 ++++ camel/configs/openai_config.py | 31 +++++++++-- camel/models/openai_model.py | 38 +++++++++++++ camel/types/__init__.py | 2 + camel/types/openai_types.py | 2 + .../openai_structured_output_example.py | 54 +++++++++++++++++++ 6 files changed, 133 insertions(+), 3 deletions(-) create mode 100644 examples/models/openai_structured_output_example.py diff --git a/camel/agents/chat_agent.py b/camel/agents/chat_agent.py index 1254669231..e1ed9fcf6d 100644 --- a/camel/agents/chat_agent.py +++ b/camel/agents/chat_agent.py @@ -476,6 +476,15 @@ def step( a boolean indicating whether the chat session has terminated, and information about the chat session. """ + if ( + self.model_backend.model_config_dict.get("response_format") + and response_format + ): + raise ValueError( + "The `response_format` parameter cannot be set both in " + "the model configuration and in the ChatAgent step." + ) + if isinstance(input_message, str): input_message = BaseMessage.make_user_message( role_name='User', content=input_message diff --git a/camel/configs/openai_config.py b/camel/configs/openai_config.py index 8919d3e531..63ebd7a183 100644 --- a/camel/configs/openai_config.py +++ b/camel/configs/openai_config.py @@ -13,9 +13,9 @@ # =========== Copyright 2023 @ CAMEL-AI.org. All Rights Reserved. =========== from __future__ import annotations -from typing import Optional, Sequence, Union +from typing import Any, Optional, Sequence, Type, Union -from pydantic import Field +from pydantic import BaseModel, Field from camel.configs.base_config import BaseConfig from camel.types import NOT_GIVEN, NotGiven @@ -104,11 +104,36 @@ class ChatGPTConfig(BaseConfig): stop: Union[str, Sequence[str], NotGiven] = NOT_GIVEN max_tokens: Union[int, NotGiven] = NOT_GIVEN presence_penalty: float = 0.0 - response_format: Union[dict, NotGiven] = NOT_GIVEN + response_format: Union[Type[BaseModel], dict, NotGiven] = NOT_GIVEN frequency_penalty: float = 0.0 logit_bias: dict = Field(default_factory=dict) user: str = "" tool_choice: Optional[Union[dict[str, str], str]] = None + def as_dict(self) -> dict[str, Any]: + r"""Convert the current configuration to a dictionary. + + This method converts the current configuration object to a dictionary + representation, which can be used for serialization or other purposes. + + Returns: + dict[str, Any]: A dictionary representation of the current + configuration. + """ + config_dict = self.model_dump() + if self.tools: + from camel.toolkits import FunctionTool + + tools_schema = [] + for tool in self.tools: + if not isinstance(tool, FunctionTool): + raise ValueError( + f"The tool {tool} should " + "be an instance of `FunctionTool`." + ) + tools_schema.append(tool.get_openai_tool_schema()) + config_dict["tools"] = NOT_GIVEN + return config_dict + OPENAI_API_PARAMS = {param for param in ChatGPTConfig.model_fields.keys()} diff --git a/camel/models/openai_model.py b/camel/models/openai_model.py index 4ba5e8f78f..9e8e2d9b3e 100644 --- a/camel/models/openai_model.py +++ b/camel/models/openai_model.py @@ -24,6 +24,7 @@ ChatCompletion, ChatCompletionChunk, ModelType, + ParsedChatCompletion, ) from camel.utils import ( BaseTokenCounter, @@ -127,6 +128,19 @@ def run( self.model_config_dict["presence_penalty"] = 0.0 self.model_config_dict["frequency_penalty"] = 0.0 + if self.model_config_dict.get("response_format"): + # stream is not supported in beta.chat.completions.parse + if "stream" in self.model_config_dict: + del self.model_config_dict["stream"] + + response = self._client.beta.chat.completions.parse( + messages=messages, + model=self.model_type, + **self.model_config_dict, + ) + + return self._to_chat_completion(response) + response = self._client.chat.completions.create( messages=messages, model=self.model_type, @@ -134,6 +148,30 @@ def run( ) return response + def _to_chat_completion( + self, response: "ParsedChatCompletion" + ) -> ChatCompletion: + # TODO: Handle n > 1 or warn consumers it's not supported + choice = dict( + index=response.choices[0].index, + message={ + "role": response.choices[0].message.role, + "content": response.choices[0].message.content, + "tool_calls": response.choices[0].message.tool_calls, + }, + finish_reason=response.choices[0].finish_reason, + ) + + obj = ChatCompletion.construct( + id=response.id, + choices=[choice], + created=response.created, + model=response.model, + object="chat.completion", + usage=response.usage, + ) + return obj + def check_model_config(self): r"""Check whether the model configuration contains any unexpected arguments to OpenAI API. diff --git a/camel/types/__init__.py b/camel/types/__init__.py index 9918574e83..9294d1ef91 100644 --- a/camel/types/__init__.py +++ b/camel/types/__init__.py @@ -40,6 +40,7 @@ Choice, CompletionUsage, NotGiven, + ParsedChatCompletion, ) from .unified_model_type import UnifiedModelType @@ -71,4 +72,5 @@ 'UnifiedModelType', 'NOT_GIVEN', 'NotGiven', + 'ParsedChatCompletion', ] diff --git a/camel/types/openai_types.py b/camel/types/openai_types.py index e60af44ad7..468504ecda 100644 --- a/camel/types/openai_types.py +++ b/camel/types/openai_types.py @@ -31,6 +31,7 @@ ChatCompletionUserMessageParam, ) from openai.types.completion_usage import CompletionUsage +from openai.types.chat import ParsedChatCompletion from openai._types import NOT_GIVEN, NotGiven Choice = Choice @@ -45,3 +46,4 @@ CompletionUsage = CompletionUsage NOT_GIVEN = NOT_GIVEN NotGiven = NotGiven +ParsedChatCompletion = ParsedChatCompletion diff --git a/examples/models/openai_structured_output_example.py b/examples/models/openai_structured_output_example.py new file mode 100644 index 0000000000..0dcf96b9a6 --- /dev/null +++ b/examples/models/openai_structured_output_example.py @@ -0,0 +1,54 @@ +# =========== 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 pydantic import BaseModel + +from camel.agents import ChatAgent +from camel.configs import ChatGPTConfig +from camel.models import ModelFactory +from camel.types import ModelPlatformType, ModelType + + +class Student(BaseModel): + name: str + age: str + + +class StudentList(BaseModel): + studentLlst: list[Student] + + +openai_model = ModelFactory.create( + model_platform=ModelPlatformType.OPENAI, + model_type=ModelType.GPT_4O_MINI, + model_config_dict=ChatGPTConfig( + temperature=0.0, response_format=StudentList + ).as_dict(), +) + +# Set agent +camel_agent = ChatAgent(model=openai_model) + +# Set user message +user_msg = """give me some student infos.""" + +# Get response information +response = camel_agent.step(user_msg) +print(response.msgs[0].content) +''' +=============================================================================== +{"studentLlst":[{"name":"Alice Johnson","age":"20"},{"name":"Brian Smith", +"age":"22"},{"name":"Catherine Lee","age":"19"},{"name":"David Brown", +"age":"21"},{"name":"Eva White","age":"20"}]} +=============================================================================== +''' From bbe225213c700c813c9a94c1250555e5b09dc33b Mon Sep 17 00:00:00 2001 From: Wendong-Fan <133094783+Wendong-Fan@users.noreply.github.com> Date: Thu, 21 Nov 2024 20:07:36 +0800 Subject: [PATCH 5/6] chore: fix pydantic version to less than 2.10 (#1201) --- poetry.lock | 248 ++++++++++++++++++++++++------------------------- pyproject.toml | 2 +- 2 files changed, 125 insertions(+), 125 deletions(-) diff --git a/poetry.lock b/poetry.lock index c3f043d23f..117235c1cf 100644 --- a/poetry.lock +++ b/poetry.lock @@ -95,87 +95,87 @@ files = [ [[package]] name = "aiohttp" -version = "3.11.5" +version = "3.11.6" description = "Async http client/server framework (asyncio)" optional = true python-versions = ">=3.9" files = [ - {file = "aiohttp-3.11.5-cp310-cp310-macosx_10_9_universal2.whl", hash = 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[[package]] name = "uvicorn" -version = "0.32.0" +version = "0.32.1" description = "The lightning-fast ASGI server." optional = false python-versions = ">=3.8" files = [ - {file = "uvicorn-0.32.0-py3-none-any.whl", hash = "sha256:60b8f3a5ac027dcd31448f411ced12b5ef452c646f76f02f8cc3f25d8d26fd82"}, - {file = "uvicorn-0.32.0.tar.gz", hash = "sha256:f78b36b143c16f54ccdb8190d0a26b5f1901fe5a3c777e1ab29f26391af8551e"}, + {file = "uvicorn-0.32.1-py3-none-any.whl", hash = "sha256:82ad92fd58da0d12af7482ecdb5f2470a04c9c9a53ced65b9bbb4a205377602e"}, + {file = "uvicorn-0.32.1.tar.gz", hash = "sha256:ee9519c246a72b1c084cea8d3b44ed6026e78a4a309cbedae9c37e4cb9fbb175"}, ] [package.dependencies] @@ -9369,7 +9369,7 @@ h11 = ">=0.8" typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} [package.extras] -standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] +standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] [[package]] name = "virtualenv" @@ -9940,4 +9940,4 @@ vector-databases = ["pymilvus", "qdrant-client"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.13" -content-hash = "b4f3714651590e9275505bfe1282668485d0094a3a7fcc6d86f530c0d7ace14d" +content-hash = "e0860a01ffd863be1542a0a9e837332630cee85e64bb0ca6a921fe600a97710d" diff --git a/pyproject.toml b/pyproject.toml index 8eba7a00db..b278318f69 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,7 +36,7 @@ jsonschema = "^4" protobuf = "^4" pathlib = "^1.0.1" docstring-parser = "^0.15" -pydantic = ">=1.9,<3" +pydantic = ">=1.9,<2.10" eval-type-backport = "0.2.0" curl_cffi = "0.6.2" pandoc = "*" From abfa406582dade5f9f922fc7fe6fc5faaab35bbf Mon Sep 17 00:00:00 2001 From: Xiaotian Jin Date: Thu, 21 Nov 2024 20:46:40 +0300 Subject: [PATCH 6/6] feat: Add human toolkit for human interaction with the agent (#1158) (#1200) Co-authored-by: Wendong-Fan <133094783+Wendong-Fan@users.noreply.github.com> --- camel/toolkits/__init__.py | 2 + camel/toolkits/human_toolkit.py | 48 ++++++++++++++++++++++++ examples/toolkits/human_toolkit.py | 59 ++++++++++++++++++++++++++++++ 3 files changed, 109 insertions(+) create mode 100644 camel/toolkits/human_toolkit.py create mode 100644 examples/toolkits/human_toolkit.py diff --git a/camel/toolkits/__init__.py b/camel/toolkits/__init__.py index 451d947609..256bbf7e55 100644 --- a/camel/toolkits/__init__.py +++ b/camel/toolkits/__init__.py @@ -38,6 +38,7 @@ from .open_api_toolkit import OpenAPIToolkit from .retrieval_toolkit import RetrievalToolkit from .notion_toolkit import NotionToolkit +from .human_toolkit import HumanToolkit __all__ = [ 'BaseToolkit', @@ -64,4 +65,5 @@ 'GoogleScholarToolkit', 'NotionToolkit', 'ArxivToolkit', + 'HumanToolkit', ] diff --git a/camel/toolkits/human_toolkit.py b/camel/toolkits/human_toolkit.py new file mode 100644 index 0000000000..ba50f8c2c0 --- /dev/null +++ b/camel/toolkits/human_toolkit.py @@ -0,0 +1,48 @@ +# =========== 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 typing import List + +from camel.toolkits.base import BaseToolkit +from camel.toolkits.function_tool import FunctionTool + + +class HumanToolkit(BaseToolkit): + r"""A class representing a toolkit for human interaction.""" + + def __init__(self): + pass + + def ask_human(self, question: str) -> str: + r"""Ask a question to the human via the console. + + Args: + question (str): The question to ask the human. + + Returns: + str: The answer from the human. + """ + print(f"\n{question}") + print("Your reply: ", end="") + return input() + + def get_tools(self) -> List[FunctionTool]: + r"""Returns a list of FunctionTool objects representing the + functions in the toolkit. + + Returns: + List[FunctionTool]: A list of FunctionTool objects + representing the functions in the toolkit. + """ + return [FunctionTool(self.ask_human)] diff --git a/examples/toolkits/human_toolkit.py b/examples/toolkits/human_toolkit.py new file mode 100644 index 0000000000..1baa885bc3 --- /dev/null +++ b/examples/toolkits/human_toolkit.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 camel.agents import ChatAgent +from camel.configs import ChatGPTConfig +from camel.models import ModelFactory +from camel.toolkits import HumanToolkit +from camel.types import ModelPlatformType, ModelType + +human_toolkit = HumanToolkit() + +model = ModelFactory.create( + model_platform=ModelPlatformType.OPENAI, + model_type=ModelType.GPT_4O_MINI, + model_config_dict=ChatGPTConfig( + temperature=0.0, + ).as_dict(), +) + +# Test Agent with the human toolkit +agent = ChatAgent( + system_message="You are a helpful assistant.", + model=model, + tools=[*human_toolkit.get_tools()], +) + +response = agent.step( + "Test me on the capital of some country, and comment on my answer." +) + +print(response.msgs[0].content) + +''' +What is the capital of France? +Your reply: Paris + +That's correct! Paris is indeed the capital of France. Would you like to try +another one? +Your reply: yes + +What is the capital of Japan? +Your reply: Tokyo + +That's correct! Tokyo is the capital of Japan. Would you like to continue with +another question? +Your reply: no +'''