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Functions388 in github.com/aiwaves-cn/agents

⨍ Functions 388◇ Types & classes 90

(self, cfg_file: str, default_action: str = "read")

src/agents/tools/mail.py:21

(self, config_path_or_dict: Union[str, dict] = None)

src/agents/utils/config.py:10

( self, model_type: EmbeddingModelType = EmbeddingModelType.SMALL_3, )

src/agents/utils/embeddings.py:111

r"""Initializes the UnstructuredIO class and ensures the installed version of Unstructured library meets the minimum requirements.

src/agents/utils/unstructured_io.py:17

( self, url_and_api_key: Optional[Tuple[str, str]] = None, vector_storage_local_path:

src/agents/utils/retrievers/auto_retriever.py:37

src/agents/utils/retrievers/base.py:14

r"""Initializes the retriever class with an optional embedding model. Args: embedding_model (Optional[BaseEmbedding]): The embedd

src/agents/utils/retrievers/vector_retriever.py:27

( self, vector_dim: int, collection_name: Optional[str] = None, url_and_api_ke

src/agents/utils/storages/vectordb_storages/qdrant.py:65

( self, vector_dim: int, url_and_api_key: Tuple[str, str], collection_name: Op

src/agents/utils/storages/vectordb_storages/milvus.py:42

src/agents/utils/storages/key_value_storages/in_memory.py:13

(self, path: Optional[Path] = None)

src/agents/utils/storages/key_value_storages/json.py:18

(self, config_path_or_dict: Union[str, dict] = None)

src/agents/task/task.py:29

(self, config_path_or_dict: Union[str, dict] = None)

src/agents/task/node.py:37

(self, config_path_or_dict: Union[str, dict] = None)

src/agents/task/node.py:188

(self, config_path_or_dict: Union[str, dict] = None)

src/agents/task/sop.py:37

(self, config_path_or_dict: Union[str, dict] = None)

src/agents/task/solution.py:33

Initializes the LossCalculator object. Args: config (LossConfig): The loss configuration. has_ground_truth (

src/agents/optimization/loss.py:35

Initializes the TaskSetting object. Args: **kwargs: Arbitrary keyword arguments for initializing the task se

src/agents/optimization/optimizer.py:25

Initializes the OptimizerConfig object. Args: config_path_or_dict (str or dict): The path to the configuration file or t

src/agents/optimization/optimizer.py:35

Initializes the NodeOptimizerConfig object. Args: config_path (str): The path to the configuration file.

src/agents/optimization/node_optimizer.py:25

(self, config_path)

src/agents/optimization/sop_optimizer.py:28

(self, config_path_or_dict)

src/agents/optimization/toolkit_optimizer.py:12

(self, config_path)

src/agents/optimization/prompt_optimizer.py:36

(self, config_path_or_dict)

src/agents/optimization/trainer.py:29

Initialize the dataset by loading text data from a file. Args: file_name (str): The name of the text file containing creativ

src/agents/datasets/creative_writing.py:29

Initializes a dataset instance for HumanEval, loading data from a JSON file specified in the configuration.

src/agents/datasets/humaneval.py:131

(self, split: str = "train")

src/agents/datasets/hotpotqa.py:56

Initialize the dataset with a list of data items. Args: data (List[Any]): A list of data items.

src/agents/datasets/base.py:12

src/agents/datasets/software_dev.py:12

Initializes a dataset instance for MATH problems, loading data from the specified directory structure. Args: split (str)

src/agents/datasets/math.py:31

(self, config_path_or_dict: Union[str, dict])

src/agents/knowledge_bases/knowledge_base.py:29

Initializes a State object. Args: node (Node): The node associated with this state. agent (Agent): The agent

src/agents/evaluation/state.py:9

Initializes the StateBackward object. Args: **kwargs: Arbitrary keyword arguments for initializing the backward informat

src/agents/evaluation/state.py:121

Initializes the NodeEval object. Args: node_name (str): The name of the node. prompt (str): The prompt used

src/agents/evaluation/state.py:169

Initializes a Case object from a JSON dict. Args: json_data (dict): The JSON data to initialize the Case object.

src/agents/evaluation/case.py:24

Initializes the evaluation results. Args: **kwargs: Arbitrary keyword arguments for initializing the evaluation results.

src/agents/evaluation/case.py:266

Initializes the evaluation results. Args: **kwargs: Arbitrary keyword arguments for initializing the evaluation results.

src/agents/evaluation/case.py:314

Initializes the SOP suggestion information. Args: **kwargs: Arbitrary keyword arguments for initializing the SOP suggest

src/agents/evaluation/case.py:363

(self, state_list: list[State])

src/agents/evaluation/trajectory.py:7

(self, config_path_or_dict: Union[str, dict] = None)

src/agents/agents/llm.py:52

(self, config: LLMConfig)

src/agents/agents/llm.py:90

src/agents/agents/memory.py:38

( self, config: dict = {}, messages: list = [], storage: InMemoryKeyValueStora

src/agents/agents/memory.py:103

( self, config: dict, json_path: str, chunk_list: list = [], storage:

src/agents/agents/memory.py:176

(self, config_path_or_dict: Union[str, dict] = None)

src/agents/agents/environment.py:33

(self, config_path_or_dict: Union[str, dict] = None)

src/agents/agents/agent.py:40

(self, config_path_or_dict: Union[str, dict] = None)

src/agents/agents/agent_team.py:35

(self, config_path_or_dict: Union[str, dict] = None)

src/agents/agents/action.py:43

(self, config: dict, **kwargs)

src/agents/agents/toolkit.py:26

src/agents/utils/storages/key_value_storages/in_memory.py:16

Return the number of items in the dataset. Returns: The number of items.

src/agents/datasets/base.py:86

src/agents/agents/memory.py:117

Method_bing_search

Initialize search hyperparameters

src/agents/tools/web_search.py:42

Method_google_search

Initialize search hyperparameters

src/agents/tools/web_search.py:68

(self, mail_dict: dict)

src/agents/tools/mail.py:106

(self, mail_dict: dict)

src/agents/tools/mail.py:259

Method_serpapi_request

Initialize search hyperparameters

src/agents/tools/web_search.py:89

Methodaction_history

src/agents/tools/web_browse.py:61

r"""Saves a list of vector records to the storage. Args: records (List[VectorRecord]): List of vector records to be saved.

src/agents/utils/storages/vectordb_storages/base.py:87

r"""Adds a list of vectors to the specified collection. Args: records (List[VectorRecord]): List of vectors to be added.

src/agents/utils/storages/vectordb_storages/milvus.py:253

Methodappend_memory

(self, message)

src/agents/agents/memory.py:123

Performs backward calculation for each node in the given case. Args: case (Case): The case for which the backward calcul

src/agents/optimization/node_optimizer.py:121

Performs backward optimization for the given case to get the gradient of the loss. Args: case (Case): The case to be opt

src/agents/optimization/prompt_optimizer.py:130

Methodcalculate_loss

Calculates the loss for a given case. Args: case (Case): The case for which the loss is to be calculated. ad

src/agents/optimization/loss.py:72

Methodcheck_config

src/agents/utils/config.py:64

Methodclean_text_data

r"""Cleans text data using a variety of cleaning functions provided by the `unstructured` library. This function applies multiple tex

src/agents/utils/unstructured_io.py:129

r"""Remove all vectors from the storage.

src/agents/utils/storages/vectordb_storages/qdrant.py:342

r"""Remove all vectors from the storage.

src/agents/utils/storages/vectordb_storages/base.py:150

r"""Removes all vectors from the Milvus collection. This method deletes the existing collection and then recreates it with the same sc

src/agents/utils/storages/vectordb_storages/milvus.py:351

r"""Removes all records from the key-value storage system.

src/agents/utils/storages/key_value_storages/in_memory.py:37

r"""Removes all records from the key-value storage system.

src/agents/utils/storages/key_value_storages/base.py:40

r"""Provides access to the underlying vector database client.

src/agents/utils/storages/vectordb_storages/qdrant.py:356

r"""Provides access to the underlying vector database client.

src/agents/utils/storages/vectordb_storages/base.py:161

r"""Provides direct access to the Milvus client. This property allows for direct interactions with the Milvus client for operations that are

src/agents/utils/storages/vectordb_storages/milvus.py:364

Methodcombine_results

src/agents/datasets/humaneval.py:270

Methodconvert_action_to

(self, action_name: str)

src/agents/tools/mail.py:285

Methodconvert_search_engine_to

src/agents/tools/web_search.py:202

r"""Deletes a list of vectors identified by their IDs from the storage. Args: ids (List[str]): List of unique identifiers for the

src/agents/utils/storages/vectordb_storages/qdrant.py:267

r"""Deletes a list of vectors identified by their IDs from the storage. Args: ids (List[str]): List of unique identifiers for the

src/agents/utils/storages/vectordb_storages/base.py:104

r"""Deletes a list of vectors identified by their IDs from the storage. If unsure of ids you can first query the collection to grab th

src/agents/utils/storages/vectordb_storages/milvus.py:276

(self, save_path)

src/agents/task/task.py:77

Dumps the case to a JSON file. Args: save_path (str): The path where the JSON file will be saved.

src/agents/evaluation/case.py:248

Dump the trajectory to a json file.

src/agents/evaluation/trajectory.py:13

src/agents/agents/agent_team.py:175

Evaluate the output for a given index and return the evaluation info. Args: answer (str): The model-generated output for the

src/agents/datasets/creative_writing.py:102

Evaluate the correctness of a completion against the ground truth. Args: idx (int): The index of the case. a

src/agents/datasets/humaneval.py:190

Evaluate the provided answer for a given index against the ground truth. Args: idx (int): The index of the question being ev

src/agents/datasets/hotpotqa.py:101

Evaluate the dataset. Raises: NotImplementedError: If the method is not implemented by a subclass.

src/agents/datasets/base.py:104

Evaluate the executability metric of the project code. Args: answer (str): The model-generated output for the text at the giv

src/agents/datasets/software_dev.py:60

(self, idx: int, answer: str)

src/agents/datasets/math.py:113

Methodextract_data_from_text

r"""Extracts various types of data from text using functions from unstructured.cleaners.extract. Args: text (str): Text t

src/agents/utils/unstructured_io.py:229

src/agents/tools/web_browse.py:53

Functionformulate_prompt_for_node_backward

Formulate a prompt for node backward optimization. This function creates a prompt for node backward optimization by extracting the necessary

src/agents/optimization/prompt_formatter.py:239

Functionformulate_prompt_for_node_optim

Formulate a prompt for node optimization. This function creates a prompt for node optimization by gathering suggestions from the case list a

src/agents/optimization/prompt_formatter.py:272

Functionformulate_prompt_for_prompt_optim

Formulate a prompt for prompt optimization. This function constructs a prompt for prompt optimization, where the outer loop is based on stat

src/agents/optimization/prompt_formatter.py:153

Functionformulate_prompt_for_sop_optim

Formulate a prompt for SOP optimization. This function creates a prompt for the SOP optimizer by extracting necessary variables from the

src/agents/optimization/prompt_formatter.py:314

(self, expression)

src/agents/tools/math.py:25

(self, equation)

src/agents/tools/math.py:54

(self, equation, variable)

src/agents/tools/math.py:84

(self, weather_dict: Dict)

src/agents/tools/weather.py:68

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