nested_aggregator

Aggregates nested content from multiple samples into a single summary.

This operator uses a recursive summarization approach to aggregate content from multiple samples. It processes the input text, which is split into sub-documents, and generates a summary that maintains the average length of the original documents. The aggregation is performed using an API model, guided by system prompts and templates. The operator supports retrying the API call in case of errors and allows for customization of the summarization process through various parameters. The default system prompt and templates are provided in Chinese, but they can be customized. The operator uses a Hugging Face tokenizer to handle tokenization.

聚合来自多个样本的嵌套内容，生成单一摘要。

该算子使用递归汇总方法来聚合来自多个样本的内容。它处理被分割成子文档的输入文本，并生成一个保持原始文档平均长度的摘要。聚合过程使用 API 模型进行，由系统提示和模板指导。该算子支持在出错时重试 API 调用，并允许通过各种参数自定义汇总过程。默认的系统提示和模板以中文提供，但可以自定义。该算子使用 Hugging Face 分词器来处理分词。

Type 算子类型: aggregator

Tags 标签: cpu, api, text

🔧 Parameter Configuration 参数配置

name 参数名

type 类型

default 默认值

desc 说明

api_model

<class ‘str’>

'gpt-4o'

API model name.

input_key

<class ‘str’>

'event_description'

The input key in the meta field of the samples.

output_key

<class ‘str’>

None

The output key in the aggregation field in the

max_token_num

typing.Optional[typing.Annotated[int, Gt(gt=0)]]

None

The max token num of the total tokens of the

api_endpoint

typing.Optional[str]

None

URL endpoint for the API.

response_path

typing.Optional[str]

None

Path to extract content from the API response.

system_prompt

typing.Optional[str]

None

The system prompt.

sub_doc_template

typing.Optional[str]

None

The template for input text in each sample.

input_template

typing.Optional[str]

None

The input template.

try_num

typing.Annotated[int, Gt(gt=0)]

3

The number of retry attempts when there is an API

model_params

typing.Dict

{}

Parameters for initializing the API model.

sampling_params

typing.Dict

{}

Extra parameters passed to the API call.

kwargs

''

Extra keyword arguments.

📊 Effect demonstration 效果演示

not available 暂无