What this category of data looks like
Fertilizer and pesticide policy and regulatory basis data draws primarily from publicly released official documents from the Ministry of Agriculture and Rural Affairs, the Ministry of Industry and Information Technology, and provincial-level agricultural and rural affairs departments. Sync updates in real time as new policies launch, and run regular bulk updates each month. Documents include three categories: original policy texts, official interpretations, and supporting implementation rules. Core fields include policy document numbers, issuing authorities, effective dates, applicable geographic scopes, and core clauses. Field formats follow government public disclosure standards uniformly, with no custom units or special formatting requirements.
What constraints do these characteristics impose on multi-turn dialogue and prompt engineering
Strictly limit context length for multi-turn dialogue to avoid overflow, as individual policy documents often exceed 5,000 characters. Craft prompts to explicitly require the model to reference specific document numbers and dates. Guide users to supplement geographic information during multi-turn dialogue to match corresponding policies, as core fields include effective dates and applicable regions. Prioritize newly released documents in prompts, since policy update frequency is high. This prevents outdated policy content from being returned in responses.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context Length | 8000–12000 characters | Adapts to multi-turn dialogue scenarios for long single-text fertilizer and pesticide policy documents, avoiding messages context overflow |
| Question Optimization Switch | Enabled | Policy Q&A involves specialized terminology; optimization improves retrieval accuracy and expression standardization |
| Single Retrieval Count | Top 6 results | The total volume of fertilizer and pesticide policy documents is limited; excessive results will interfere with model judgment |
| Context and Timeout Configuration | Calibrated via actual testing, with timeout set to 600 seconds | Adapts to the messages context processing logic of FastGPT v4.17.0, avoiding excessive waiting time for long-text queries |
| Session Persistence Configuration | Enabled | Ensures coherent chatId context for multi-turn dialogue, preventing data loss after session interruption |
| Prompt Variable Binding | Bind policy document numbers and effective dates, pass via variables | Enforces inclusion of core information required for compliance in responses; session storage quota set to 1000 MB |
Three Common Misconfigurations
- No response after attempting to upload a voice file during dialogue | The voice recognition plugin is not configured for the fertilizer and pesticide policy Q&A scenario; only text input is supported by default
- Model output Markdown tables display
...[hide X char]with truncated content | Context truncation threshold is not set appropriately, causing long table content to be automatically truncated by the system - Chat history is not synchronized to the database after actively closing the dialogue window | Session persistence configuration is not enabled, so temporary session data is not automatically archived
How to Verify Successful Configuration
Initiate a query that includes a specific fertilizer and pesticide policy document number, and verify whether the response accurately references the corresponding document number and effective date. Initiate consecutive multi-turn questions related to policies, and check whether context content is fully retained with no abnormal truncation. Test a policy interpretation query that includes a Markdown table, and confirm that the table is fully displayed with no hidden character prompts. Simulate multiple dialogue requests in a short period, and confirm that expected error messages are returned when rate limits are triggered.
The values provided are common starting points and should be measured against the user'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.