What the data for this category looks like
Ledger data for urban investment platforms mainly comes from internal project management systems, fiscal appropriation records, and local debt supervision platforms. Data update cycles are divided by business nodes. Project progress ledgers are updated weekly. Debt ledgers are updated quarterly. Annual operation report documents are compiled monthly. Single ledger documents are mostly structured tables, containing fields such as project name, investment amount, implementing entity, start date, completion percentage, financing channel, and more. Units include ten thousand yuan, calendar days, and others. Some cross-regional project ledgers will additionally include a local administrative code field.
What constraints do these characteristics impose on tool calling and plugins?
Multi-source heterogeneous ledger data from urban investment platforms requires tool calling to support multi-table association matching, to avoid field misalignment. Data sources with different update cycles need plugins configured with differentiated pull cycles, to avoid repeated pulling of outdated data. Structured fields include multiple unit types, so the parameter parsing link of tool calling must add unit verification logic, preventing incorrect calling of amount and percentage fields. The local administrative code field for cross-regional projects requires plugins to support filtering data by local dimension, ensuring the summary scope complies with local supervision requirements. Ledger summary for some long documents needs to be split, to avoid a single tool call exceeding context limits.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto or specify the ledger summary function | Adapts to the structured data characteristics of urban investment ledgers, accurately triggering corresponding tools to handle multi-table association tasks |
functionCall | Configure input parameters by mapping ledger fields, such as {"project_name": "", "investment_amount": ""} | Matches the fixed field structure of urban investment ledgers, ensuring tool calling parameters correspond one-to-one with data source fields |
| Data source pull cycle | Project progress ledger: 7 days, debt ledger: 90 days, operation documents: 30 days | Matches the actual update cycles of each ledger for urban investment platforms, avoiding pulling redundant or outdated data |
| Field verification switch | Enabled | Identifies multi-unit fields in urban investment ledgers, preventing incorrect calling of amount and percentage fields |
| Local filtering configuration | Filter by project local code | Adapts to the ledger summary requirements of cross-regional urban investment projects, ensuring the data scope complies with local supervision requirements |
Three common mistakes
- Empty tool call return results: After calling the ledger summary tool, an empty array is returned. Cause: The
functionCallinput parameters are not configured according to the fixed fields of urban investment ledgers, causing the tool to fail to match core fields such as project name and investment amount in the data source. - Plugin data pull timeout: A timeout error triggers when pulling multi-source ledgers in a single request. Cause: Differentiated pull cycles are not configured according to the update cycles of each ledger, and excessive historical data is pulled at one time.
- Context association failure: Subsequent requests based on previous ledger summary conclusions do not reuse pre-existing information. Cause: The plugin's context transfer logic is not configured, so the previous round of results cannot be used as prompt input for the current request.
How to confirm the configuration is correct
- Perform a single ledger summary test, check whether the fields returned by the tool call completely match the preset fields of the urban investment ledger, confirming that the
functionCallconfiguration takes effect. - View the plugin's pull logs, verify whether the pull cycles of each data source match the configured cycles, confirming that the data source pull frequency configuration takes effect.
- Trigger a ledger summary request for a cross-regional project, check whether the returned results only include project data with the specified local code, confirming that the local filtering configuration takes effect.
- Initiate two consecutive associated requests, check whether the second request automatically carries the summary result of the first request, confirming that the context transfer logic takes effect.
The values provided here 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.