Policy and Regulatory Basis Q&A for Urban Gas: Workflow Orchestration

Policy and Regulatory Basis Q&A for Urban Gas: Workflow Orchestration

What the data for this category looks like

Data sources for urban gas policy and regulatory basis materials come primarily from official public documents of the Ministry of Housing and Urban-Rural Development, local gas regulatory authorities, and urban investment gas enterprises. Updates are synchronized immediately when new policies are released. Most documents are normative documents or public notices. Their structure includes document number, issuing body, effective date, clause entries, and applicable geographic scope. Fields include policy category, implementation standard number, and penalty clause details. The applicable geographic scope field marks prefecture-level city or district/county levels. Clause counts use "articles" as the unit.

Constraints on Workflow Orchestration

Urban gas policy documents vary widely in size. Some provincial-level policies exceed 10,000 words per document. Workflows must support segmented retrieval to fit model context limits. Policy applicable geographic areas are clearly defined and fixed at specific levels. Variable extraction nodes must be configured to match corresponding geographic data sources and avoid cross-regional policy confusion. Policy updates follow no fixed cycle. Automatic data source synchronization nodes must be configured to ensure the knowledge base is updated in real time. Policy clauses have multiple hierarchical levels and complex details. Context trimming nodes must be configured to filter irrelevant content and improve answer accuracy.

Configuration Settings

Configuration ItemRecommended ApproachRationale
variablesPass values in the format "region + policy type"Urban gas policies are categorized by region and type. This format enables precise matching of corresponding data sources
nodeIdBind to the node ID of the dedicated gas policy knowledge basePrevents calls to irrelevant category knowledge base data and improves retrieval accuracy
Chunk Length800–1200 charactersUrban gas policy clauses are mostly short paragraphs. This length fully covers individual policy details
Single Retrieval LimitTop 8 entriesPolicy documents have many entries. Excessive retrieval will exceed model context limits
Timeout Setting600 secondsFastGPT v4.17.0 default timeout is 300 seconds. This duration fits most policy document retrieval and generation workflows
Variable Validation RuleValidate that input contains a prefecture-level city nameUrban gas policy applicable areas are clearly defined. No geographic information prevents precise matching of corresponding data sources

Three Common Mistakes

  • Phenomenon: API calls to the workflow nested knowledge base assistant return empty values. Cause: No geographic variable extraction node is configured, so no matching urban gas policy data sources for the target city are found.
  • Phenomenon: A quote type error prompt appears when referencing knowledge base variables. Cause: Parameters are not passed in the format required by variables, and no variable type validation is performed.
  • Phenomenon: The tool call module outputs both AI replies and executes the next-level branch. Cause: No branch trigger condition is configured, so the workflow does not distinguish between generation result timing and tool call execution timing.

How to Confirm Successful Configuration

  • Pass test variables containing a prefecture-level city name and gas policy type, and check if the workflow triggers retrieval results from the corresponding knowledge base.
  • View workflow run logs to confirm the variables parameter format meets configuration requirements, and no quote type error errors appear.
  • Simulate an API call, check that the returned result is not empty and includes policy clauses matching the target region.
  • Adjust the timeout setting, test scenarios where execution duration exceeds 300 seconds, and confirm the workflow does not abort abnormally.

The values listed above 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.