What Data for This Category Looks Like
Data sources for air governance intelligent due diligence reports include real-time monitoring station data from ecological environment departments, operation logs of governance facilities submitted by enterprises, and special reports from third-party testing institutions. Update frequencies vary significantly. Real-time monitoring data is updated hourly. Monthly reports submitted by enterprises are updated monthly. Third-party testing reports are updated according to project progress. Document fields include monitoring point number, pollutant concentration value, governance facility operation duration, compliance determination result, rectification deadline, and others. Pollutant concentration units are mostly mg/m³. Operation duration units are hours. Some reports also include geographic coordinates of monitoring points and compliance standard document numbers.
Constraints Imposed on Workflow Orchestration
Multi-source heterogeneous data sources require multiple data pulling and format conversion nodes in workflow configuration. These nodes adapt to structured real-time monitoring data and unstructured PDF testing reports respectively. Different update frequencies need differentiated trigger rules. This prevents unnecessary data pulling or data lag. Specific units and compliance determination standards require standardized verification nodes in workflows. These nodes ensure concentration values, operation durations and other data meet preset compliance thresholds. They also prevent calculation errors caused by unit mismatches. Due diligence reports require integration of multiple data types to form complete conclusions. Workflows need dependency relationships between nodes. This ensures data is pulled, verified, integrated and output in logical order.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
workflow_trigger_mode | Multi-trigger combination: scheduled trigger + manual trigger + external API trigger | Matches the different update rhythms of air governance data (hourly, monthly, project-level) and adapts to the pulling timing of multi-source data |
parse_chunk_size | 800–1200 characters | Adapts to parsing needs of long-text testing reports, avoids breaking single-segment information, and complies with context window limits of most large language models |
rag_recall_top_k | 6–8 top results | Covers key information such as multi-point monitoring data, rectification records, compliance determinations, avoids redundant recall or omission of core content |
function_call_enable | Enabled | Supports calling custom nodes including compliance threshold verification and data format conversion to achieve full-process automation |
workflow_timeout | 1800 seconds | Adapts to processing duration of multi-source data integration and long report parsing, prevents workflow interruption due to timeout |
file_parse_max_size | 500 MB | Supports parsing of third-party testing reports containing multi-page monitoring charts, meets file requirements of large-scale project due diligence |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Workflow runs normally in preview, but no output appears on the chat page. Cause: No externally exposed trigger node is configured for the workflow, or the workflow output is not bound to the reply variable of the chat session.
- Some nodes execute with an error returning "function call not supported". Cause: The selected model does not have function call enabled, and no rule-based fallback process is configured.
- RAG retrieval results do not combine with historical due diligence data, search results are disconnected from the current task context, or the workflow canvas drags with lag and nodes load with delay, which is especially noticeable when the number of nodes exceeds 20. First cause: The historical session variable is not bound during the RAG retrieval step. Second cause: Using version 4.6.5 or earlier, which has not optimized multi-node rendering performance, and there are a large number of unused idle nodes on the canvas.
How to Confirm Proper Configuration
- Trigger a manual run, verify that the output of each node in the workflow log contains complete monitoring point data, compliance determination results and rectification records.
- Import a standard air governance testing PDF report, verify that the parsed fields include preset key items such as concentration values and operation durations, and that units match correctly.
- Adjust the value of
rag_recall_top_k, compare output content under different configurations, confirm that the number of recalls matches the expected information coverage range. - Check the scheduled trigger task configuration, confirm that the trigger timing matches the update rhythm of the corresponding data source, avoid data lag or repeated data pulling.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.