What the data for this category looks like
Steel trade enterprise financial report data mainly comes from internal inventory and sales ledgers, upstream steel mill settlement documents, downstream customer payment records, and public industry prosperity indices. Data update cycles are divided into three levels: monthly, quarterly, and annual. Monthly data must be collected by the 10th of the following month. Quarterly data must have formal reports generated within 15 days after the quarter ends. Annual data must be audited and disclosed by the end of April of the next year. The document structure includes fields such as total trade tonnage, unit purchase price per ton, unit sales price per ton, current period revenue, current period gross profit, accounts receivable balance, and inventory turnover days. The corresponding units are ton, yuan/ton, yuan/ton, ten thousand yuan, ten thousand yuan, ten thousand yuan, and days.
What constraints these characteristics impose on tool calling and plugins
The combination of multiple unit fields in steel trade financial reports requires tool calling plugins to support automatic conversion and verification of units such as yuan/ton, ten thousand yuan, and days. This prevents numerical calculation errors. Monthly high-frequency financial report updates require tool calling configurations to use scheduled trigger rules. This ensures analysis tasks use the latest collected datasets. The mixed structure of structured fields and unstructured notes requires plugins to support both structured table extraction and free text parsing. This avoids missing key information. Dependence on industry-related data requires embedding industry price index query plugins in the tool calling chain. This assists with financial report rationality verification.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
TOOL_CALL_MAX_RETRIES | 2 retries | Tool calls for steel trade financial reports are susceptible to network fluctuations. 2 retries cover most temporary exception scenarios |
PARSE_TABLE_TIMEOUT_SECONDS | 600 seconds | Financial report tables include multiple field combinations. A longer timeout ensures complete parsing of structured data |
SCHEDULE_TRIGGER_CRON | 0 0 2 10 * * | Matches the monthly financial report collection deadline on the 10th of the following month, triggering analysis tasks on a scheduled basis |
STRUCTURED_FIELD_WHITELIST | ["total trade tonnage","unit purchase price per ton","unit sales price per ton","current period gross profit"] | Focus on core analysis fields, filtering non-essential content to improve tool calling efficiency |
TOOL_CONTEXT_WINDOW | 8000–12000 characters | Covers the context length required for multi-field correlation analysis of financial reports, avoiding information truncation |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After configuring the
duckduckgoweb search plugin, tool calls return empty results. Cause: The field association logic for search keywords is not clearly specified in the prompt template, causing the plugin to fail to obtain valid retrieval parameters. - Symptom: In FastGPT 4.9.10, the code running tool cannot be found in the tool list, and there is no wiring configuration area in the configuration interface. Cause: The
enable_code_runnersystem switch is not enabled, so the tool is not loaded into the available tool pool. - Symptom: Tool calling tasks frequently time out and fail. Cause: The set
PARSE_TABLE_TIMEOUT_SECONDSvalue is less than the actual time required for data parsing, and does not match the table complexity of steel trade financial reports.
How to confirm the configuration is complete
- Enter the tool management interface, confirm that the target tool is loaded in the available list, and that the configuration item parameters match the preset configuration.
- Manually trigger a tool calling task, check whether the returned results cover the parsing and verification content of core analysis fields.
- View the system scheduled task log, confirm that the most recent task was completed according to the preset time.
- Submit a simulated financial report data, verify whether the tool call can correctly link with associated plugins to complete data verification.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.