What this category of data looks like
The primary sources of grain reserve policy and regulatory basis data are normative documents officially released by the National Food and Strategic Reserves Administration, local grain reserve management regulations, and annual reserve rotation plan announcements. Data updates are triggered by policy revisions, with no fixed cycle. Document structures uniformly include fields such as document number, issuing authority, effective date, clause content, applicable region, and implementation standard. Field units are clearly defined: reserve scale is measured in ten thousand tons, rotation cycle in years, and subsidy standards in yuan per ton.
What constraints do these characteristics impose on the multi-turn dialogue and prompt link
Grain reserve policy documents are lengthy; a single document may contain dozens of clauses. Multi-turn dialogue requires retaining context to associate specific clauses referenced in user follow-up questions, so excessive historical messages must be limited to avoid interfering with current queries. The clearly defined field units require prompts to strictly align with unit descriptions to prevent unit confusion. Since data updates have no fixed cycle, prompts must explicitly require responses to only use the currently bound local knowledge base files, and not rely on outdated content from training data. Users may ask for detailed information such as the applicable region and effective date of a policy during multi-turn dialogue, so the messages parameter must be used to retain historical interaction content to ensure answer relevance.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 characters | Adapts to the typical length of single grain reserve policy documents, avoiding truncation of key clause content |
| Historical dialogue retention rounds | Top 5–10 rounds | Covers the common scope of user multi-turn follow-up questions, avoiding excessive historical messages from occupying context space |
variables parameter configuration | Bind parameters such as user query region and grain category | Enables dynamic insertion of user-specific query conditions to improve answer targeting |
messages parameter configuration | Append historical messages by conversation turn | Retains context association to ensure multi-turn dialogue can link previously referenced policy clauses |
chatId parameter configuration | Serve as an independent identifier for conversations and logs | Distinguishes conversation records of different users, preventing associated system logs from being deleted when conversations are removed |
| Prompt template configuration | Fixed inclusion of "Only respond using the currently bound grain reserve policy documents" | Ensures response sources comply with requirements, avoiding reference to external unrelated content |
Three Common Configuration Mistakes
- Issue: Code block returns undefined in the text content extraction module. Cause: The extracted code block variables were not correctly bound via the
variablesparameter, resulting in target parameters not being passed in the context. - Issue: System logs are deleted after a user deletes a conversation. Cause:
chatIdwas incorrectly used as the unique identifier for both conversations and logs, leading to associated logs being deleted when the conversation is removed. - Issue: Previous referenced policy clause numbers cannot be linked during multi-turn dialogue. Cause: The historical message append configuration for the
messagesparameter was not enabled, only retaining the current single-turn query content and losing context association logic.
How to Verify Proper Configuration
- Initiate a single-turn query, check that the response only references the currently bound grain reserve policy documents, with no external unrelated content.
- Initiate two consecutive follow-up questions, check that the system can associate the policy clause referenced in the first question without repeating background explanations.
- Test deleting a single conversation record, check that the system logs still retain the interaction data for that conversation.
- Enter a query with region and grain category parameters, check that the response correctly inserts the content bound via the
variablesparameter.
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.