Create a dictionary representing a case at a specific index, including the ground truth if available. Args: idx (int): T

Create a dictionary representing a case at a specific index, including the ground truth if available. Args: idx (int): The i

Get information for the NodeOptimizer. Args: node_name (str): The name of the node. variable_names (list): T

Generate the dictionary for the SOP optimizer. Args: need_variable_names (list): The list of variable names required by

r"""Returns the output dimension of the embeddings. Returns: int: The dimensionality of the embedding for the current model.

r"""Returns payloads of top k vector records that closest to the given vector. This function is a wrapper of `BaseVectorStorage.query

Retrieve a list of key history entries based on a query using semantic search. Args: query (str): The input query for wh

case跑完了之后加载保存下来的case获取分数 Returns:

r"""Returns whether this type of models is an OpenAI-released model.

r"""Load the collection hosted on cloud service.

r"""Load the collection hosted on cloud service.

r"""Load the collection hosted on cloud service.

r"""Loads all stored records from the key-value storage system. Returns: List[Dict[str, Any]]: A list of dictionaries, where each

r"""Loads all stored records from the key-value storage system. Returns: List[Dict[str, Any]]: A list of dictionaries, where each

Loads the trajectory from a JSON file.

Optimizes nodes in the given list of cases. Args: case_list (list[Case]): The list of cases to be optimized.

Optimizes the prompts for a list of cases and updates the solution accordingly. Args: case_list (list[Case]): The list o

r""" Processes content. Subclasses should implement this method according to their specific needs. Args: content_

r"""Searches for similar vectors in the storage based on the provided query. Args: query (VectorDBQuery): The query objec

r"""Searches for similar vectors in the storage based on the provided query. Args: query (VectorDBQuery): The query objec

Reads a batch of cases from a JSON file and returns a list of Case objects. Args: json_path (str): The path to the JSON

Reads a single case from a JSON file and returns a Case object. Args: json_path (str): The path to the JSON file contain

Returns True if the IO object can be read.

Processes documents from an Azure storage container and stores structured outputs locally. Args: azure_url (str)

r"""Processes messages from specified Discord channels and stores structured outputs locally. Args: channels (List[str]):

r"""Processes documents from a GitHub repository and stores structured outputs locally. Args: repo_url (str): URL of the

r"""Processes documents from an S3 bucket and stores structured outputs locally. Args: s3_url (str): The URL of the S3 bu

r"""Processes documents from specified Slack channels and stores structured outputs locally. Args: channels (List[str]):

r"""Saves a batch of records to the key-value storage system. Args: records (List[Dict[str, Any]]): A list of dictionaries, where

r"""Saves a batch of records to the key-value storage system. Args: records (List[Dict[str, Any]]): A list of dictionaries, where

r"""Stages elements for various platforms based on the specified staging type. This function applies multiple staging utilities to fo

r"""Returns status of the vector database. Returns: VectorDBStatus: The vector database status.

r"""Retrieves the current status of the Milvus collection. This method provides information about the collection, including its vector

Returns a dictionary representation of the State object. Returns: dict: A dictionary containing the state information.

Returns a dictionary representation of the StateBackward object. Returns: dict: A dictionary containing the backward inf

Returns a dictionary representation of the NodeEval object. Returns: dict: A dictionary containing the node evaluation i

Returns a dictionary representation of the CaseLoss object. Returns: dict: A dictionary containing the evaluation result

Returns a dictionary representation of the DatasetEvaluation object. Returns: dict: A dictionary containing the evaluati

Returns a dictionary representation of the SOPSuggestion object. Returns: dict: A dictionary containing the SOP suggesti

Return a deep copy of the dataset's data. Returns: A deep copy of the data list.

Updates the backward information. Args: **kwargs: Arbitrary keyword arguments for updating the backward information.

Updates the node evaluation information. Args: prompt (str): The prompt used for the node. content (str): Th

Updates the evaluation results. Args: **kwargs: Arbitrary keyword arguments for updating the evaluation results.

Updates the SOP suggestion information. Args: **kwargs: Arbitrary keyword arguments for updating the SOP suggestion info

更新node中agent的prompt_template