What This Category of Data Looks Like
Railway operation policy and regulatory basis data originates from official railway transport regulations released by China State Railway Group, railway transport supervision announcements from the Ministry of Transport, and operation rules issued by railway bureaus. Data is synced to the knowledge base within 72 hours after a new policy is released. Document structure includes regulation number, issuing authority, effective date, applicable operation scenarios, and specific clause entries. Fields include clause hierarchy (article, paragraph, sub-paragraph), violation situations, disposal basis, and execution standards. Units are based on article, sub-paragraph, and day. Single document length ranges from several pages to dozens of pages.
What Constraints Do These Characteristics Impose on Tool Calling and Plugin Configuration?
Railway operation policy data characteristics create multiple constraints for tool calling and plugin configuration. Policies have clear effective dates and versions. Tool calling must pass the effective time parameter to match the correct policy version, avoiding expired clauses. Clauses have a hierarchical structure. Plugins must support precise retrieval by article, paragraph, sub-paragraph, to avoid returning redundant full chapter content. All data sources use official domains. Plugins must configure access whitelists for these domains to resolve cross-domain access restrictions. Policy update frequency is high. Tool calling must regularly refresh the knowledge base cache to ensure returned content is the latest valid version.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
toolChoice | auto | Supports automatic matching of railway policy retrieval tools, adapting to policy query needs across different scenarios |
functionCall | {"name":"rail_policy_query","parameters":{"effective_date":"","scene":""}} | Specifies calling the dedicated railway policy query tool, passing effective time and operation scenario parameters |
| Plugin access whitelist | *.china-railway.com.cn, *.mot.gov.cn | Matches official domains of policy data sources, resolving cross-domain access interception issues |
| Tool call timeout | 30 seconds | Railway policy documents are moderately sized; 30 seconds allows sufficient time for retrieval and data return |
| Result return limit | Top 3 entries | Railway policy clauses are precise; excessive results will reduce answer accuracy and readability |
| Knowledge base sync cycle | Every 72 hours | Aligns with the post-release sync rhythm for policies, ensuring returned content is the latest valid version |
Three Common Misconfigurations
- Scenario: A 400 error is returned during tool calling, with a prompt indicating abnormal role field format. Cause: The role field in the context was not filled as required during tool calling, or an invalid role value was provided.
- Scenario: Cross-domain interception error occurs when calling the plugin, or a "connection failed" prompt is returned. Cause: The access whitelist for official policy data sources was not configured, preventing the plugin from pulling railway policy data.
- Scenario: Returned policy clauses do not match the currently effective version. Cause: The knowledge base sync cycle was not configured, so cached outdated policy data was used.
How to Confirm Configuration Is Complete
- Call the tool, then check the returned
tool_callsfield to confirm it includes the correct plugin name and parameter configuration. - Review the plugin's access logs to confirm successful pulling of policy data from official platforms of China State Railway Group or the Ministry of Transport.
- Pass a test effective date parameter to confirm returned policy clauses match the valid version for that time.
- Simulate a cross-domain request to the configured whitelist domain to confirm no interception error prompts are returned.
The values provided 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.