What Data for This Category Looks Like
Relevant data sources for petition matter handling include the National Petition Information System, local petition systems, the 12345 citizen hotline platform, grassroots governance platforms, and historical petition archives. Data updates occur once daily. Commonly processed documents include petition registration forms, acceptance notices, transfer and assignment letters, handling opinions, review and recheck applications, and resolution plans. Data fields include petition request details, acceptance numbers, responsible subject identifiers, handling node identifiers, and other relevant fields. All data follows government official document standard formats.
Constraints Imposed on Workflow Orchestration by These Characteristics
In FastGPT v4.17.0, multi-source data access requires workflows to include multi-data source synchronization nodes. These nodes adapt to interface formats of different petition-related systems. Daily data update frequency requires workflows to use scheduled trigger rules. This ensures real-time matching between policy data and petition data. Diverse document types require workflows to include chunk adaptation rules. These rules support different formats of government documents. Standardized data fields require workflows to bind fixed fields as retrieval conditions. This avoids invalid retrieval operations. Handling errors can cause repeated petitions or review corrections. Workflows must add verification links to ensure accuracy of policy basis.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
variables | Bind original petition request text and acceptance number fields | Adapt to structured characteristics of petition data to accurately locate policy basis |
nodeId | Bind knowledge base retrieval nodes and policy verification nodes | Clarify execution order and dependency relationships between each workflow link |
| Single search limit | Top 10 results | Match the volume of single-topic documents in petition policy documents to avoid redundant information |
| Similarity threshold | 0.75–0.85 | Calibrated through actual testing to filter irrelevant policy content |
| Maximum context length | 8000–12000 characters | Adapt to the length of petition policy documents to ensure complete context |
| Data source synchronization frequency | 2:00–4:00 AM daily | Match the daily update rhythm of petition data, avoid resource occupation during business peak hours |
Three Common Configuration Errors
- Failure to use advanced orchestration features, unable to associate workflow nodes. Phenomenon: The interface displays "No valid node dependency configured" and dragged nodes do not respond. Cause: Failed to correctly set association parameters for
nodeIdand failed to enable advanced orchestration permission configuration. - Failure to retrieve values returned by MCP tool calls in workflows. Phenomenon: Policy verification node output fields are empty, and logs show no valid return data. Cause: Failed to bind output fields of MCP tools in
variablesand failed to configure parameter transfer rules between nodes. - Failure to specify reply of knowledge base content in workflows, returns irrelevant text. Phenomenon: Search results include non-policy content, and replies do not strictly match policy basis for petition matters. Cause: Failed to set a similarity threshold or set the threshold too low, and failed to enable question optimization links.
How to Verify Correct Configuration
- Import a single petition registration form document, trigger workflow execution, and check if
variablescorrectly bind request content fields. - Run the workflow, view node logs, and confirm that retrieval nodes associated with
nodeIdreturn the required number of policy documents. - Enter a simulated petition request, check if workflow output replies only include matching policy basis content with no extra redundant information.
- Test the MCP tool call link, confirm that workflow nodes can correctly obtain and transfer policy data returned by the tool.
The values provided here are common starting points. Adjust these settings based on local sample data and testing.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.