Model Access and Configuration for Duty-Free Intelligent Due

What the data for this category looks like

Data sources for duty-free intelligent due diligence reports include qualification filing documents of duty-free business entities, customs import and export declaration forms, official documents of outlying island duty-free policies, monthly sales ledgers, and more. Data update cycles vary: qualification filing documents are updated when an entity’s qualifications change, policy documents sync the latest regulatory requirements quarterly, and sales ledgers update daily transaction data. The document structure is divided into three modules: qualification compliance, transaction records, and policy adaptation. It includes dedicated fields such as "outlying island duty-free quota limit", "declaration form verification number", and "brand authorization validity period", with units including ten thousand yuan, days, person-times, and others.

What constraints these characteristics impose on model access and configuration

Multi-source and heterogeneous data sources require support for parsing and accessing multiple file formats, and parsing rules adapted to different document types must be configured. Differences in update frequencies require distinguishing scheduled synchronization intervals for different data sources, to avoid resource occupation from frequent synchronization or delayed updates. Dedicated fields and units require configuring verification rules during field mapping, to ensure extracted data complies with business norms for the duty-free category. Single-file capacity spans a wide range, from qualification documents of a few pages to sales ledgers of dozens of megabytes, so document processing parameters for different lengths must be adapted.

How to set configurations

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Duty-free sales ledger single files have large data volumes, so sufficient parsing duration must be reserved to avoid mid-process interruptions
`maxContext`	`8000–12000 characters`	Duty-free due diligence requires associating data from qualification, transaction, and policy modules, so a sufficient context window is needed to cover all associated information
`UPLOAD_FILE_MAX_SIZE`	`2000 MB`	Monthly sales ledgers may include multiple batches of transaction data, with large single-file capacity, so the upload limit must be relaxed
`recall count`	`Top 8 entries`	Duty-free due diligence requires balancing multi-dimensional associated information; too many recalls will interfere with model judgment, while too few recalls will result in incomplete coverage
`similarity threshold`	`0.75–0.85`	Policy documents use precise wording, so a high matching degree is required to avoid incorrect association with non-target policy content
`model_api_key`	`Independent keys assigned per tenant`	Data from different duty-free business entities must be isolated; independent keys ensure the independence of sessions and data

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.

Three common configuration mistakes

Phenomenon: After upgrading to version 4.9, a connection timeout occurs when configuring models connected via oneapi, with a 504 Gateway Timeout error returned. Cause: The correct ONEAPI_BASE_URL is not configured in FastGPT’s environment variables, causing model requests to fail to route correctly to the target service.
Phenomenon: After adding a new model configuration and restarting the FastGPT service, the corresponding configuration item still does not appear in the management interface. Cause: The identifier of the corresponding model is not added to the MODEL_LIST array in config.json, or the configuration file is not correctly loaded into the running instance.
Phenomenon: When multiple users call the model using the same model_api_key, cross-user conversation history leaks occur. Cause: An independent model_api_key is not assigned to each individual user, causing session data to be bound to the public key.

How to confirm configuration is complete

Upload a single duty-free sales ledger file, check that the system logs have no parsing failure records, and confirm that the parsing duration matches the setting of PARSE_FILE_TIMEOUT_SECONDS.
Enter a query related to duty-free due diligence, verify that the number of recalled documents matches the setting of recall count, and confirm that the similarity matching results meet the requirements of the similarity threshold.
Assign independent model_api_key values to different test users, initiate conversations, and check that session data is isolated, with no cross-user historical record leaks.
Enter the FastGPT model management interface, confirm that the newly added model configuration is correctly displayed in the MODEL_LIST list.

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.