Features
Integrate the output results of various agents into a structured final output, supporting multiple output formats.
Use Cases
- Integrate the analysis results of multiple agents to generate a unified structured report.
- Convert complex data into multiple easy-to-read formats such as Markdown, JSON, HTML, and plain text.
- Batch process large amounts of agent output to ensure format consistency and readability.
- Automate the report generation process to improve work efficiency.
Core Capabilities
- Result Integration: Efficiently integrate the output results of all agents to ensure data integrity.
- Multi-format Output: Support multiple commonly used formats such as Markdown, JSON, HTML, and plain text to meet different needs.
- Structured Presentation: Provide a clear hierarchical structure and unified formatting style to improve readability.
- Batch Processing Support: Able to batch process multiple agent results to achieve automated formatting.
- Error Handling: Properly handle abnormal input data to ensure stable and reliable output.
Core Steps
接收智能体输出结果
↓
根据指定输出格式进行格式化
↓
整合所有结果数据
↓
生成结构化最终输出
↓
返回格式化结果
Input Requirements
- Agent Output Results: The output data of each agent to be integrated (JSON, Markdown, Text, etc.).
- Target Output Format(Optional): Specify the format of the final output (such as Markdown, JSON, HTML, Text). Defaults to Markdown.
- Structured Requirements(Optional): Specific output structure template or field definitions.
Output Format
Provide the structured final result according to the specified output format. For example, in Markdown format, it may include the following content:
# 综合报告标题
## 故事大纲
[完整的故事大纲内容]
## 大情节点
- 情节点1: [描述]
- 情节点2: [描述]
## 思维导图
[思维导图编辑链接]
## 详细情节点
### 情节点1
[详细描述]
## 元数据信息
- 创建日期: [日期]
- 报告版本: [版本号]
Constraints
- The input data must be in a parseable format so that information can be correctly extracted.
- Strictly follow the specified output format requirements to ensure the standardization of the results.
- Avoid introducing irrelevant information or hallucinations in the output.
Examples
See {baseDir}/references/examples.md directory for more detailed examples:
examples.md- Contains detailed examples of integrating different agent outputs (such as story outline + plot points + mind map) and converting between multiple formats.
Detailed Documentation
See {baseDir}/references/examples.md for detailed guidance and cases on output organization.
Version History
| Version | Date | Changes |
|---|---|---|
| 2.1.0 | 2026-01-11 | Optimized the description field to make it more concise and compliant with imperative language conventions; changed the model to opus; optimized the descriptions of features, use cases, core capabilities, core steps, input requirements, and output format to make them more compliant with imperative language conventions; added constraints, examples, and detailed documentation sections. |
| 2.0.0 | 2026-01-11 | Refactored according to official specifications |
| 1.0.0 | 2026-01-10 | Initial version |