Reference only; verify against the target FastGPT release and deployment documentation.
What This Category of Data Looks Like
This category of data mainly originates from official normative documents released by the National Food and Strategic Reserves Administration, industry regulations from local grain reserve departments at all levels, and grain-related policy documents issued by the State Council and relevant ministries and commissions. Data updates take effect immediately when new policies are issued. Most documents are official public documents with document numbers. Their structures include issuing authority, effective date, clause entries, applicable scenarios, and execution standards. Fields cover reserve grain rotation rules, subsidy calculation standards, and warehouse supervision requirements. Units include ten thousand tons, yuan per ton, and warehouse volume in cubic meters, among others.
Constraints Imposed on Tool Calling and Plugins
The long-text structure of official documents requires that tool calling accurately locate clause entries, to avoid clause breaks caused by split logic. Multiple official policy sources require plugins to support filtering data by issuing authority and geographic dimension, to ensure compliance with matching scenarios. Policy data with no fixed update cycle requires the tool calling link to support dynamically pulling newly released documents, instead of using static cached historical data. Field differences across scenarios—for example, different subsidy standards for provincial and municipal reserve grain—require tool calling to carry geographic parameters to complete data matching. Otherwise, incorrect policy basis will be returned.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Let the model independently judge whether to call tools to pull grain reserve policy data, to adapt to dynamic Q&A scenarios |
functionCall | {"name":"query_grain_policy"} | Bind a custom policy query tool, to clarify the target tool type called by the model |
| Maximum number of returns per single tool call | Top 3 entries | Single grain reserve policy content is relatively long. Limiting the number of returns avoids exceeding the context window limit |
| Tool call context length | 8000–12000 token | Policy clauses include multiple detailed sections. This range can fully cover the core execution requirements of a single policy |
| File upload trigger rule | Auto-trigger tool call | After the user uploads the original policy document, the model automatically judges whether it needs to read the file content to complete Q&A matching |
Three Common Misconfigurations
- Phenomenon: The model does not read the user-uploaded original grain reserve policy document, and directly returns general Q&A content. Cause: The automatic tool call trigger mode after file upload is not enabled, so the model cannot independently judge the reading demand.
- Phenomenon: A connection timeout error is returned when calling an external grain reserve policy interface via a custom plugin. Cause: No reasonable timeout duration is configured in the plugin settings, or network permissions for interface access are not correctly configured.
- Phenomenon: The policy content returned by tool calling does not match the user's question. Cause: No parameters for filtering policies by region and release level are configured, resulting in returned policy clauses that cross regions or are not applicable.
How to Verify Proper Configuration
- Upload an original grain reserve policy document, initiate a relevant Q&A, and observe whether the model automatically triggers tool calling to read the file content.
- Initiate a question that requires calling policy data, and check whether the tool call log returns matching policy clauses.
- Check the interface configuration of the custom tool, confirm that the correct grain reserve policy data source address and parameter rules are bound.
- Adjust the maximum number of returns per single tool call parameter, and verify that the number of returned policy clauses conforms to the preset top 3 entries rule.
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.