What the data for this category looks like
Data sources associated with marketing content for auto service finance scenarios include offline store service ticket systems, appointment and feedback data from the customer-facing mini-program, official brand vehicle configuration databases, auto finance installment application records, and auto insurance quotation data. Update cadence varies by data type: service tickets and appointment data are synced in real time; promotional activity and finance product information are refreshed daily per campaign cycles; vehicle configuration databases and finance product parameters are updated quarterly. Each associated data document includes fields such as vehicle VIN code, service type, arrival time, customer feedback score, store area code, installment amount, auto insurance quotation, and others. The VIN code is a 17-character fixed-length string. Service duration is measured in minutes. Customer scores are integers ranging from 1 to 5.
What constraints these characteristics impose on deployment and upgrade
Real-time synced service tickets and finance application data require configuring retry and idempotency check mechanisms for multi-source data access during deployment to avoid duplicate marketing content generation. The 17-character fixed-length VIN code field requires configuring data format validation rules during deployment to filter invalid inputs. Quarterly updated vehicle configuration databases and finance product parameters require reserving incremental configuration update entries in the upgrade process, without requiring full service restarts. Permission requirements tied to regional store codes require configuring fine-grained access control policies during deployment to restrict cross-region data calls. These constraints directly impact parameter configuration during deployment and module adjustments during upgrades.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Documents such as service tickets, vehicle manuals, and finance product materials in auto service scenarios have large file sizes, with long average parsing durations. This avoids parsing interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the demand for uploading large files such as maintenance manuals, high-definition vehicle images, and finance product materials in auto service scenarios |
maxContext | 8000–12000 characters | Marketing content needs to associate multiple sets of vehicle service and financial data, requiring coverage of complete service records, vehicle information, and product parameters |
Similarity threshold | 0.75–0.85 | Accurately matches vehicle characteristics of vehicle owners with corresponding service and financial marketing content, avoiding pushing low-relevance content |
RECALL_TOP_K | Top 8 entries | Each piece of marketing content needs to associate no more than 8 sets of service and financial data, ensuring content accuracy and avoiding redundancy |
AUTO_UPDATE_INTERVAL | 24 hours | Adapts to the daily update rhythm of promotional activities and financial products, synchronously refreshing the marketing content library |
The parameter values provided on this page are common 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 values.
Three common mistakes
- Phenomenon: After deployment, calling the model returns
{"detail":"Error message: ｜ "message": "403 This token does not have permission to use the model"}. Cause: The exclusive model permission for the auto service scenario was not configured in the permission list of the corresponding token. For deployments using the open-source version v4.8.17, additionally check whether the bound model covers the long text parsing requirement. - Phenomenon: Empty VIN code fields appear in generated marketing content. Cause: The validation rule for the
VIN_CODE_VALIDATORparameter was not configured during deployment. VIN codes of invalid length were not filtered, resulting in missing associated data. - Phenomenon: Multi-store data synchronization delays occur after version upgrade. Cause: The original multi-source synchronization retry configuration was not retained during upgrade. The newly deployed service cannot adapt to the connection rules of the original heterogeneous data sources.
How to confirm configurations are set correctly
- Upload a single auto service ticket document, check if the parsed fields include preset VIN code, service duration and other content, to confirm that the data validation rules take effect.
- Call the model test interface, input a simulated auto service customer query, check if the returned marketing content is associated with the corresponding vehicle's service and financial data, to confirm that the context configuration takes effect.
- View the token permission management interface, confirm that the currently deployed token is bound to the required model permissions, to verify that the pre-configuration for the 403 error is completed.
- Trigger an automatic update task, check if promotional activity and financial product data are synchronized to the marketing content library, to confirm that the update interval configuration takes effect.
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.