What This Category of Data Looks Like
Data sources include daily inbound and outbound ledgers, rotation execution plans, quality inspection reports, and policy-based grain reserve subsidy declaration documents from grain reserve depots. Update frequency follows: daily ledgers are updated daily, rotation plans are updated monthly, and quality inspection reports are generated synchronously with each batch of grain inbound and outbound. The document structure includes structured fields and unstructured text. Structured fields include grain type, storage quantity, warehouse number, and inspection indicators, with units of tons, kilograms, and warehouse number codes. Unstructured text includes inspection rules, reserve management requirements, and other related content.
Constraints Imposed by These Features on Multi-turn Dialogue and Prompt Engineering
Structured fields and clear unit requirements require multi-turn dialogue to verify the unit and field matching of generated content in each interaction. Prompts must clearly list required fields and their corresponding units. Data with different update frequencies requires differentiated calls. Multi-turn dialogue must support users specifying whether to retrieve daily ledgers or monthly rotation plans, and prompts must include data timeliness restriction conditions. For scenarios mixing structured and unstructured documents, multi-turn dialogue must gradually guide users to supplement details while accurately associating the corresponding data sources to avoid confusion across grain reserve categories. Additionally, compliance requirements for policy-related content mean prompts must include built-in management specification verification logic to ensure generated documents meet reserve management requirements.
How to Set the Configuration
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 characters | Matches the average length of grain reserve documents, avoids truncating key data fields, and complies with FastGPT v4.17.0 context processing rules |
| Context memory turns | First 10 dialogue turns | Covers the complete interaction flow from requirement proposal to document finalization, retains records of field modifications and requirement adjustments |
variables variable configuration | Bind grain reserve-specific field variables | Ensures generated documents automatically populate preset depot, grain type and other structured data, reducing manual entry costs |
messages context splicing rule | Splice in interaction order, retain user modification instructions | Ensures accurate reproduction of prior adjustment content during multi-round modifications, avoids context loss |
| Single call data limit | First 5 latest ledger records | Avoids introducing redundant data, ensures generated content focuses on the user's current document drafting needs |
| Question optimization switch | Enabled | Decompose vague user document requirements, clarify required grain reserve document type and specific field requirements |
Three Common Mistakes
- Phenomenon: After calling a configured verification plugin in the grain reserve document drafting workflow, no plugin interaction records are generated in the dialogue log. Cause: The context synchronization switch was not enabled in the plugin configuration, causing the
chatIdparameter to not be passed correctly. - Phenomenon: The dialog box still displays when nesting a form input node within another workflow. Cause: The independent pop-up trigger setting was not disabled in the nesting configuration, causing the original display logic to remain when the node is called.
- Phenomenon: When viewing dialogue history without a login status, associated grain reserve data images fail to load. Cause: Access permissions for the public storage path were not configured, causing attached resources in the dialogue history to be inaccessible to anonymous users.
How to Confirm the Configuration Is Correct
- Launch a document drafting dialogue, check if generated content automatically populates preset grain reserve field variables, confirm that the
variablesconfiguration takes effect. - Modify the generated document content and launch a second dialogue, check if the system retains prior modification records, confirm that the
messagescontext splicing rule is correct. - Switch to an unlogged status, attempt to access dialogue history, check if associated grain reserve data images load normally, confirm that the storage path permission configuration logic is correct.
- Call the configured plugin to complete document verification, check if corresponding interaction records are generated in the dialogue log, confirm that the
chatIdparameter passing logic is correct.
Note: The configuration values listed above are common starting points. Adjustments should be made based on the reader's own specific 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.