What Data for This Category Looks Like
Core data for state-owned industrial funds comes from filing archives of state-owned capital investment and operation platforms, fund prospectuses, investment review meeting minutes, capital contribution agreements, and post-investment management ledgers. Data updates are triggered at each lifecycle stage of individual funds. Filing-related information is updated alongside approval workflows. Post-investment operation data is synchronized monthly.
Documents are divided into three categories: fundraising, investment review, and post-investment. Fundraising documents include fields such as fund size (unit: 100 million yuan), duration, and list of investors. Investment review documents include standardized fields such as project code, investment amount, and approval document number. Post-investment documents include tracking fields such as fund disbursement progress and exit milestones.
What Constraints These Characteristics Impose on the "Tool Calling and Plugins" Workflow
Data for state-owned industrial funds is scattered across filing platforms, internal ledgers, and post-investment systems. Tool calling requires configuring permission verification rules for cross-source data pulling to ensure only authorized roles can access sensitive state-owned capital data.
Field naming is inconsistent across different document categories. Fundraising and investment review documents have differing fields. Plugins must support custom field mapping for adaptation.
Data updates are triggered by approval nodes. Tool calling requires configuring synchronization logic triggered by approval status to avoid using expired filing data.
Document sizes for individual funds vary widely. Large fundraising prospectuses can reach tens of thousands of characters. Tool calling must adapt to context limits for long-text processing.
Configuration Specifications
This page follows the configuration specifications for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolChoice | auto | Automatically matches tool calling logic for the current document generation scenario, adapting to different document types such as fundraising and investment review |
| Tool calling timeout | 600 seconds | Generating documents for state-owned industrial funds requires pulling multi-source filing and post-investment data. 600 seconds covers most cross-source query scenarios |
| Field mapping rules | Preset mapping tables by document category | Field naming differs across document categories; preset mappings reduce manual configuration costs |
| Data synchronization trigger | Triggered by approval status | Fund data is updated alongside approval nodes. Triggering by status ensures the latest data is used for document generation |
| Long-text processing threshold | 8000–12000 characters | Average length range for large fundraising prospectuses. Calibrated based on actual testing to avoid context overflow |
functionCall | {"name":"generate_fund_doc","parameters":{}} | Triggers a custom tool to generate standardized fund documents, matching preset field filling rules |
Three Common Mistakes
- Symptom: After passing a knowledge base ID when calling an API, the workflow cannot reference the corresponding knowledge base data, with the prompt "No matching knowledge base found". Cause: The knowledge base ID is not configured as a global variable for the workflow, or the passed ID format does not match the preset global variable.
- Symptom: After configuring a MySQL database connection, executing an SQL query to extract data returns empty results. Cause: Database access permissions are not configured, or the SQL statement does not match the field naming rules for fund data.
- Symptom: After the workflow calls a tool to upload a file, the generated document does not include the file content. Cause: The file parsing plugin is not enabled, or the uploaded file format is not covered by supported parsing plugins.
How to Verify Correct Configuration
- Initiate a test call, pass the filing data ID of a single fund, and check if the tool successfully pulls the corresponding fields.
- View workflow logs to confirm that no timeout errors are triggered during tool calling, and that the returned status codes meet expectations.
- Manually modify the approval status of one fund data entry, and check if the data synchronization task automatically triggers an update.
- Upload a standard fund prospectus file, and check if the generated document includes the content parsed from the file.
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.