Data Structure for This Category
Data sources include internal enterprise equipment management systems, vehicle-mounted IoT terminals, and maintenance work order systems. Update frequency aligns with terminal reporting intervals. Synchronization triggers after a single job is completed or during fixed daily time periods. Each data entry corresponds to one piece of construction machinery. Entries include fields such as unique device identifier, model parameters, cumulative operating hours, maintenance cycle, real-time operating status, and fuel consumption statistics. Field units include physical measurement units such as hours, liters, and kilometers. Some ledgers also include lessor information and job area records. Most data is stored as structured tables or standardized JSON messages.
Constraints Imposed on Tool Calling and Plugin Workflows
Structured fields for construction machinery ledgers are numerous and include physical units. Strictly match field names and units during tool calls to avoid unit mix-ups during summarization. Data update intervals are not fixed. Plugins must support on-demand pulling of the latest reported data, and must not rely on fixed-cycle caching. Single-device data entries are numerous. The upper limit of data returned by a single tool call during batch summarization must align with interface limits of the equipment management system. This avoids triggering call timeouts. Some ledgers include cross-system associated data. Tool calls must support cross-data source linking to ensure associated information such as lessor and job area is pulled synchronously.
Reference only; verify against the target FastGPT release and deployment documentation.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
functionCall | Predefined structured parameter template including device number, statistical cycle, and fields to be summarized | Construction machinery ledger data has high structural consistency. Clear parameter boundaries avoid call ambiguity |
toolChoice | auto | Automatically match tools based on user queries, adapting to diverse summarization requirements |
| Number of data entries returned per single tool call | 15-25 entries | Aligns with single-batch equipment management data volume, avoiding exceeding context window limits |
| Tool call timeout period | 300-600 seconds | Equipment management system interface response times are affected by network and data volume. Reserve sufficient time for batch pulling |
| Parameter validation switch | Enabled | Ledger fields include physical units. Validation prevents summarization errors caused by unit mismatches |
| Plugin trigger keywords | Include "summary", "report", "ledger" | Accurately trigger tool calls and filter non-relevant conversation requests |
Three Common Configuration Mistakes
- Phenomenon: A 514 status code is returned when calling the ledger summarization tool. Cause: The tool call timeout period is set too short. The equipment management system fails to complete responses during batch data pulling, triggering platform rate limiting rules.
- Phenomenon: Non-ledger unrelated information is mixed into tool call results. Cause: Parameter validation for
functionCallis not enabled, or plugin trigger conditions do not accurately match keywords, causing the platform to automatically invoke knowledge base recall functionality. - Phenomenon: Multiple tool call attempts are made in a single conversation, and only the first call returns valid results. Cause: The
toolChoiceparameter is not configured correctly, and the conversation context does not retain the tool call status identifier, making subsequent requests unable to correctly match the plugin.
How to Verify Correct Configuration
- Initiate a test query including "summarize device operating data for a specified cycle". Check if tool calls start automatically per the configured trigger conditions.
- Review tool call logs to confirm returned data fields match the standard structure of construction machinery ledgers, with no missing fields or unit anomalies.
- Simulate two consecutive tool call requests. Check that both calls can normally obtain the corresponding batch of device data, with no call failures.
- Initiate a test query including a large number of device numbers. Confirm the platform processes returned content per the configured single-call limit, and does not exceed context limits.
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.