diff --git a/.gitignore b/.gitignore index 716e8d1..6900f8f 100644 --- a/.gitignore +++ b/.gitignore @@ -168,4 +168,6 @@ _build/ # model parameter *.pth -logs/ \ No newline at end of file +logs/ + +.DS_Store \ No newline at end of file diff --git a/crab/agents/backend_models/camel_model.py b/crab/agents/backend_models/camel_model.py index 38dcabe..6631c4c 100644 --- a/crab/agents/backend_models/camel_model.py +++ b/crab/agents/backend_models/camel_model.py @@ -22,7 +22,6 @@ try: from camel.agents import ChatAgent - from camel.configs import ChatGPTConfig from camel.messages import BaseMessage from camel.models import ModelFactory from camel.toolkits import OpenAIFunction @@ -33,21 +32,21 @@ CAMEL_ENABLED = False -def _find_model_platform_type(model_platform_name: str) -> "ModelPlatformType": - for platform in ModelPlatformType: - if platform.value.lower() == model_platform_name.lower(): - return platform - all_models = [platform.value for platform in ModelPlatformType] - raise ValueError( - f"Model {model_platform_name} not found. Supported models are {all_models}" - ) +def _get_model_platform_type(model_platform_name: str) -> "ModelPlatformType": + try: + return ModelPlatformType(model_platform_name) + except ValueError: + all_models = [platform.value for platform in ModelPlatformType] + raise ValueError( + f"Model {model_platform_name} not found. Supported models are {all_models}" + ) -def _find_model_type(model_name: str) -> "str | ModelType": - for model in ModelType: - if model.value.lower() == model_name.lower(): - return model - return model_name +def _get_model_type(model_name: str) -> "str | ModelType": + try: + return ModelType(model_name) + except ValueError: + return model_name def _convert_action_to_schema( @@ -55,7 +54,12 @@ def _convert_action_to_schema( ) -> "list[OpenAIFunction] | None": if action_space is None: return None - return [OpenAIFunction(action.entry) for action in action_space] + schema_list = [] + for action in action_space: + new_action = action.to_openai_json_schema() + schema = {"type": "function", "function": new_action} + schema_list.append(OpenAIFunction(action.entry, schema)) + return schema_list def _convert_tool_calls_to_action_list( @@ -84,9 +88,8 @@ def __init__( if not CAMEL_ENABLED: raise ImportError("Please install camel-ai to use CamelModel") self.parameters = parameters or {} - # TODO: a better way? - self.model_type = _find_model_type(model) - self.model_platform_type = _find_model_platform_type(model_platform) + self.model_type = _get_model_type(model) + self.model_platform_type = _get_model_platform_type(model_platform) self.client: ChatAgent | None = None self.token_usage = 0 @@ -104,15 +107,14 @@ def reset(self, system_message: str, action_space: list[Action] | None) -> None: config = self.parameters.copy() if action_schema is not None: config["tool_choice"] = "required" - config["tools"] = action_schema + config["tools"] = [ + schema.get_openai_tool_schema() for schema in action_schema + ] - chatgpt_config = ChatGPTConfig( - **config, - ) backend_model = ModelFactory.create( self.model_platform_type, self.model_type, - model_config_dict=chatgpt_config.as_dict(), + model_config_dict=config, ) sysmsg = BaseMessage.make_assistant_message( role_name="Assistant", diff --git a/poetry.lock b/poetry.lock index fb54a24..8e13102 100644 --- a/poetry.lock +++ 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