What the data for this category looks like
Data sources include the National Enterprise Credit Information Publicity System, public announcements of listed companies, publicly available industry supervision databases, and industrial and commercial filing information of related parties. Update rhythm: Basic entity information is synchronized every quarter; related party transactions and major events are updated in real time as they are publicly disclosed; annual financial summaries are updated annually. Document structure: A single due diligence report includes the basic entity information module, equity penetration relationship module, related party transaction ledger module, regulatory compliance record module, and industry rating summary module. Fields include unified social credit code, registered address, establishment date, full name of related party, transaction amount, compliance record document number, and industry classification code. The unit of transaction amount is ten thousand yuan.
What constraints these characteristics impose on the tool calling and plugins workflow
The multi-source and decentralized nature of diversified holdings due diligence data requires tool calling to interface with multiple public data source APIs, and develop adaptation logic for the return formats of different data sources to avoid field parsing errors. Differences in update frequencies across data sources require that tool calling trigger periods be differentiated by data type: pull basic information quarterly, trigger major real-time events on demand, to avoid invalid requests or data lag. The multi-module document structure requires that tool calling nodes be configured with precise field extraction rules to match the field definitions of different modules such as entity overview, related party transactions, and compliance records. The fixed unit requirement for amount fields requires adding a unified unit conversion logic after tool calling to ensure consistency in numerical calculations. Interface current limiting rules of public data sources require configuring reasonable request intervals and retry strategies for tool calling to prevent triggering current limiting errors.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
toolCallMaxRetries | 2–3 attempts | Public data source APIs occasionally experience timeouts; 2-3 retries cover most temporary failures and avoid direct request failure |
toolRequestIntervalMs | 1000–1500 milliseconds | Most public data source APIs have a current limiting threshold of 60 requests per minute; this interval ensures the number of requests per minute does not exceed 40, complying with current limiting requirements |
maxContext | 8000–12000 characters | Extracting core fields for a single diversified holdings due diligence report requires retaining sufficient context to avoid field omissions due to context truncation |
parseFieldMapping | Preset mapping rules per module | Field definitions vary significantly across modules; preset mappings reduce manual configuration errors and improve field extraction accuracy |
pluginTimeout | 600 seconds | Parallel requests across multiple data sources require a longer timeout period to avoid overall task failure due to single request delay |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, 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 Configuration Mistakes
- Tool calling returns empty results, and logs show a
429 Too Many Requestserror. Cause: No reasonable request interval was configured, exceeding the current limiting threshold of the public data source. - Unit deviations appear in related party transaction amounts extracted by tool calling. Cause: No unified unit conversion logic was configured, and raw values returned by the data source were used directly without converting to a unified unit per preset rules.
- Tool calling results are unstable, with some fields missing during extraction. Cause: No independent field extraction rules were configured for different document modules, leading to confusion between field definitions of different modules during context matching.
How to Verify Proper Configuration
- Initiate a single tool calling request, check whether all configured fields are included in the returned logs, and verify that field formats match the preset rules.
- Simulate multiple concurrent requests, check whether current limiting errors are triggered, and adjust the request interval configuration based on error messages.
- Import a complete diversified holdings due diligence report, check whether the modules extracted by tool calling match the document structure, with no field omissions.
- Trigger an interface timeout scenario, verify that the retry mechanism starts automatically and successfully obtains data.
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.