What data for this category looks like
Coal mine production policy and regulatory basis data primarily comes from publicly released official documents of the National Energy Administration, National Mine Safety Administration, provincial coal mine regulatory departments, industry standards issued by coal industry associations, and internal enterprise safety production rules. Data is updated without a fixed schedule. National-level policies are adjusted and released per regulatory requirements. Internal enterprise rules are typically updated after major policy releases or annual safety inspections.
Individual documents usually include fields such as policy document number, issuing body, effective date, expiration date, applicable operation scenarios (underground/open-pit coal mine), clause number and specific content. Clause content is presented in paragraphs of around 1000 characters or as numbered items, with no unified fixed word count requirement.
What constraints these characteristics impose on workflow orchestration
Since policy data sources cover multi-level regulatory entities and internal enterprise specifications, workflows must support classified retrieval across multiple knowledge bases to avoid mixing policies from different levels. The effective and expiration date fields require workflows to add time filtering during retrieval, only returning currently valid policy clauses. The document structure classified by operation scenario requires workflows to configure scenario-matched retrieval conditions, filtering policies not applicable to the target coal mine type. The lack of a fixed update cycle requires workflows to support on-demand knowledge base synchronization, with scheduled synchronization available as a supplementary option. Long-text clause content requires workflows to split retrieved content into clause-based fragments to avoid exceeding LLM context limits.
Configuration settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Knowledge Base Classification | Store by national/provincial/enterprise-level coal mine policies | Match the policy issuing body hierarchy to enable precise retrieval of regulatory requirements for the corresponding level |
| Retrieval Filter Conditions | Add "effective date ≤ current date" AND "expiration date ≥ current date" | Ensure only currently valid policy documents are returned, avoid referencing expired clauses |
| Variable Reference Format | Use {{}} format | Comply with FastGPT v4.17.0 variable calling specifications to prevent parsing errors |
| Single Retrieval Limit | Top 10 entries | Cover major policy clauses, avoid redundant information exceeding LLM processing limits |
| Context Length | 800–1200 characters | Adapt to the standard length of coal mine policy clauses, ensure the LLM can fully understand policy content |
| Context Variable Passing | Bind retrieval result fields in variables | Ensure correct data transfer between workflow nodes |
| Node Timeout | 600 seconds | Prevent timeout interruptions during long document retrieval or LLM processing |
| Sync Trigger Rules | On-demand manual sync + monthly automatic sync | Match the irregular update schedule of policies, ensure data timeliness |
Three common errors
- Phenomenon: Variables in
{{}}format in the workflow are not correctly replaced, with template characters in the prompt exposed directly in responses. Cause: Mixing old version or mode variable retrieval with{{}}format, not following FastGPT's variable calling specifications. - Phenomenon: The workflow stops at the judgment node with no subsequent steps triggered, and the conversation ends directly. Cause: No default branch is configured for the judgment node, or the global variable's knowledge base selection type is not linked to the correct retrieval result field.
- Phenomenon: The workflow terminates directly after reaching the LLM node, with no follow-up conversation wrap-up or result return completed. Cause: No conversation wrap-up node is bound after the LLM node, or retrieval result context in
variablesis not passed correctly.
How to confirm proper configuration
- Manually trigger the workflow once, check that all returned knowledge base documents are currently valid coal mine policies, and verify that the retrieval filter configuration is correct.
- Insert test variables into the workflow's LLM prompt, call
{{}}format variables, and confirm that variables are properly replaced in the returned results with no unparsed template characters. - Run a test workflow with a judgment node, verify that all conditional branches trigger their corresponding subsequent nodes, and confirm that the judgment node's branch configuration is complete.
- View the workflow execution logs, confirm all nodes have completed execution with no abnormal termination records.
The values listed are common starting points and should be evaluated 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.