What the data for this category looks like
Data sources for e-commerce service intelligent due diligence reports include e-commerce open API interfaces, qualification documents uploaded by independent merchants, and e-commerce business data from third-party credit reporting agencies. Update frequency is divided into three categories:
- Transaction data is synchronized daily
- Merchant qualification data is synchronized according to the independent update cycle
- Supply chain cooperation data is updated monthly
The document structure has four modules: merchant qualification page, past 6-month transaction ledger, user feedback summary, and supply chain cooperation ledger. It includes fields such as business license scan copies, order IDs, transaction amounts, SKU codes, and after-sales work order counts. Field units are uniformly yuan, count, and string format.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Dispersed multi-source data requires multi-turn dialogue to first guide users to clarify query modules, avoiding cross-module data confusion. Different update frequencies require adding data time limit constraints in prompts, ensuring responses use the latest valid data. Complex document structures and multiple fields require multi-turn dialogue to gradually refine query conditions, avoiding redundant or irrelevant returned content. Unified field units require clearly specifying output units in prompts, ensuring standardized result formats.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000–15000 characters | The total length of e-commerce due diligence report documents is usually 8000-12000 characters. Retaining sufficient context prevents loss of key transaction or qualification information |
recallTopK | Top 8–10 entries | E-commerce due diligence data has many fields. Too many recalled entries cause redundant responses, while too few miss key order or user feedback information |
promptFromKnowledgeBase | Enabled | E-commerce due diligence prompts must be preset by module. Dynamically loading from the knowledge base enables unified maintenance and rapid updates |
toolCallTimeout | 600 seconds | Batch API calls for e-commerce transaction data may require long pull times. This setting prevents query interruptions due to timeout |
fileParseChunkSize | 800–1000 characters | Transaction ledger paragraphs in e-commerce due diligence reports are long. Too small chunk sizes damage the integrity of order information |
similarityThreshold | 0.75–0.85 | Filters low-relevance user review data, retains content strongly related to the query, and improves response accuracy |
The parameter values provided on this page are all conventional recommendations used to determine the starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to conduct actual tests on your own samples before finalizing the settings.
Three common errors
- Phenomenon: E-commerce transaction data returned by tool calls is not displayed in real time in the dialogue interface. Complete results only appear after re-entering the session. Cause: The
toolCallAutoShowparameter is not set totrue, so tool return results are not automatically inserted into the dialogue flow. - Phenomenon: Preset due diligence prompts cannot be dynamically loaded and called from the knowledge base. Cause: The prompt file was not uploaded to the bound knowledge base, or the
promptFromKnowledgeBaseparameter was not configured as enabled. - Phenomenon: The iframe-embedded dialogue box displays an English interface and cannot be switched to Chinese. Cause: The
localeparameter was not configured aszh-CNin the iframe embedding code, so the default English language pack loads.
How to confirm configuration is complete
- Initiate a test dialogue for e-commerce transaction data query. Check if tool call return results are automatically inserted into the dialogue flow to confirm the configuration takes effect.
- Upload preset due diligence prompts to the bound knowledge base. Initiate a query containing "load due diligence prompts" to confirm the prompts are correctly called.
- Copy the iframe embedding code to a local test page. Load the page to confirm the dialogue box displays the Chinese interface.
- Copy the generated session URL. Check if the URL contains parameter fields for session identification to confirm the 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.