What this category of data looks like
Data sources for property management intelligent due diligence reports include property project basic archives, property fee collection ledgers, public area operation and maintenance logs, owner work orders, fire safety inspection reports, and more. Update frequencies vary significantly: daily operation logs update in real time, collection ledgers update monthly, and special safety reports update quarterly or annually. The core structure combines structured tables and unstructured attachments. Fields include project number, property fee unit price (yuan/square meter·month), repair response time (hours), total public area (square meters), and more. All fields have standard industry-specific units attached.
What constraints these characteristics impose on the model access and configuration link
The mixed structure of property management due diligence data requires the model access link to support both structured field extraction and unstructured text parsing. Corresponding data format adaptation rules must be configured. The different update frequencies of data sources require dynamic adjustment of the recall strategy. This prevents recalling outdated data or missing latest operation and maintenance records. The specific units attached to fields require the model output to strictly match preset units. Additional unit verification logic must be configured. Batch parsing of large-volume, multi-format attachments requires adjusting timeout and sharding parameters. This adapts to different types of due diligence documents.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Property management due diligence reports contain long-text operation records and structured tables. 800–1200 characters can fully retain the semantics of a single work order or ledger entry, avoiding truncation of critical information |
UPLOAD_FILE_MAX_SIZE | 2000 MB | A single project's due diligence report may include multiple annual ledgers, fire reports, and other large-volume attachments. 2000 MB covers most single-batch upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large-volume, multi-format attachments requires lengthy processing time. 600 seconds prevents parsing failures caused by timeouts |
Recall count | Top 8–10 entries | Property management due diligence data has high field correlation. 8–10 recall results cover core operation, payment, and safety data, avoiding redundant recalls |
Similarity threshold | 0.72–0.78 | Field names for property management data are relatively standardized. 0.72–0.78 can accurately match target fields while filtering irrelevant non-due diligence data |
maxContext | 8000–10000 characters | Due diligence reports require integrating multi-source data. A context of 8000–10000 characters ensures the model can associate information across different modules and output complete conclusions |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- A call to a third-party model returns a 401 Unauthorized error. Cause: The platform API key is not configured correctly, or the key permissions do not cover the model call scope.
- The model outputs incorrect units for due diligence report fields. For example, marking the property fee unit price as yuan/square meter·year. Cause: No field unit verification rules are configured, and the model did not match the preset unit mapping.
- A timeout error occurs during batch parsing of due diligence reports. Cause: The value of
PARSE_FILE_TIMEOUT_SECONDSis too low, and it does not adapt to the parsing duration of large-volume, multi-format attachments.
How to confirm the configuration is complete
- Upload a standard property management due diligence report attachment. Check if the parsed structured fields fully match the preset property data fields.
- Enter a standardized query instruction, such as "Extract the property fee unit price of XX project". Check if the unit of the model's returned result conforms to the preset yuan/square meter·month format.
- Submit a batch parsing task. Wait for the task to complete, then check if the task status shows success, with no timeout or parsing failure prompts.
- For deployment environments of FastGPT 4.8.22 and above, call the configured third-party model interface. Check that the returned response status code is 200, and the returned content includes text that meets due diligence requirements.
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.