What the data for this category looks like
The policy and regulatory basis data for metal material processing comes primarily from industry access standards, production license regulations, and environmental emission requirements published by the National Development and Reform Commission and the Ministry of Industry and Information Technology, plus technical guidelines released by industry associations. Data updates occur irregularly, and sync with the release of new national standards and local implementation rules. A single document typically includes metadata such as document number, issuing authority, effective date, and clause classification. Core fields include material grade, processing technology parameters, and energy consumption limit values, using common industrial units such as ton, cubic meter, and watt per hour.
What constraints these characteristics impose on tool calling and plugins
Policy data is scattered across multiple departments and available in different formats. Tool calling must adapt to multi-source parsing logic, and cannot rely on a single fixed template. Policy updates have no fixed schedule, so tool calling must integrate a regular synchronization mechanism to prevent data from becoming outdated due to static caching. Fields include specialized metal material processing terminology such as yield strength and elongation. Function parameters for tool calling must strictly match these specialized fields to reduce invalid triggers. Single policy documents are lengthy, so single tool call return volume must be limited to avoid exceeding context window limits.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Adapt to automatic function call triggering for multi-source policy documents, no need to manually specify tools |
| Tool call timeout | 600 seconds | Policy documents are usually lengthy, requiring sufficient time for parsing and querying |
| Single tool call return count | First 8 entries | Match the classification density of policy clauses, avoid excessive single returns that exceed context limits |
| Data source sync cycle | 7 days | Policy update frequency is not fixed, 7-day sync covers most regular update scenarios |
functionCall | Trigger based on specialized field matching | Ensure tool calling only targets specialized fields such as material grade and process requirements, reducing invalid calls |
| Database connection pool size | 2–4 connections | Adapt to the single-table query volume of metal material processing policy data, avoid resource waste |
Three common configuration mistakes
- Phenomenon: Calling the database plugin returns an empty
tool_callsfield. Cause: No function parameter validation rules are configured, so the tool cannot match the specialized fields of the policy documents. - Phenomenon: Deploying FastGPT locally and calling the database plugin returns no output. Cause: The database connection pool size configuration is insufficient, and frequent concurrent requests from sync tasks cause blocking.
- Phenomenon: Tool call returns a 400 status code, and the error contains an invalid role field. Cause: Policy document metadata was not formatted correctly, causing format errors during plugin parsing.
How to confirm the configuration is complete
- Initiate a policy query containing a specific metal material grade, and check if the corresponding function is triggered in the tool call log.
- Check the running status of the data source sync task, and confirm that a full sync has been completed within the last 7 days.
- Test the number of returns from a single tool call, and confirm it does not exceed the configured upper limit.
- Simulate an invalid input such as an invalid material grade, and check if the tool correctly rejects the call or returns a clear prompt.
The values provided here 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.