What This Category of Data Looks Like
Data for hazardous chemicals storage and transportation policy and regulatory basis is sourced from official announcements, national standards, industry standards, and local implementation rules released by the Ministry of Emergency Management, Ministry of Transport, and Ministry of Ecology and Environment. Data updates are synchronized with new policy releases, with no fixed cycle. The document structure is divided into three parts: full policy text, clause interpretation, and applicable storage or transportation scenario descriptions. Fields include policy number, issuing authority, effective date, applicable region, storage or transportation compliance requirements, penalty clauses, and more. Units involve document numbering, date format, storage capacity limits, temperature thresholds, and other related metrics.
What Constraints Do These Characteristics Impose on the "Tool Calling and Plugins" Workflow
The long text and multi-field nature of hazardous chemicals storage and transportation policy data requires tool calling to accurately match individual policy clauses, and avoid context overflow. Compliance verification requirements for official data sources require plugins to verify the legitimacy of data sources during calls, to prevent non-compliant content from being cited. The lack of a fixed cycle for policy updates requires plugins to regularly pull the latest policy library, and only update the cache when new policies are released. The structured multi-field feature requires tool calling to support filtering and retrieving results by field, to ensure returned content is strongly relevant to the compliance scenario of the user's question.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapts to the multi-branch calling requirements of hazardous chemicals policy clauses, automatically selects the matching compliance clause tool |
functionCall | Enabled | Forces the model to output structured policy field results, facilitating subsequent compliance verification and citation |
| Single retrieval count | Top 3 entries | Matches the reasonable length of individual policy clauses, avoiding exceeding context window limits |
| Context window length | 8000–12000 token | Adapts to the full retrieval and interpretation requirements of long policy documents |
| Timeout period | 60 seconds | Addresses delays in pulling and parsing official policy data sources |
| Reranking switch | Enabled | Sorts retrieval results by policy effective priority, aligning with compliance review requirements |
Three Common Misconfigurations
- Returning natural language policy fragments in conversations, without extracting structured fields. This occurs because the
functionCallconfiguration is not enabled, so the model does not output results in the required specified format. - Failing to return associated knowledge base identifiers when calling the interface. This occurs because a dedicated hazardous chemicals policy knowledge base is not bound, or the retrieval threshold is set too high, resulting in no valid data being matched.
- Frequent timeout errors during tool calls. This occurs because the timeout period is set too short, failing to cover the full pull and parsing time required for official policy data sources.
How to Verify Successful Configuration
- Submit a query asking for specific hazardous chemicals storage and transportation compliance requirements, and check if the returned result is a structured field list containing information such as policy number and effective date.
- Review conversation logs to confirm that the returned result includes the associated knowledge base identifier field.
- Simulate a delayed scenario to verify that the configured timeout period covers the normal pull delay of official data sources.
- Test retrieval with different policy keywords, and confirm that results are sorted by effective priority.
The values given are common starting points and should be measured against the reader's own samples.
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.