What the data for this category looks like
The data for chemical fiber financing daily reports mainly comes from corporate financing filings from domestic chemical fiber industry associations, daily reporting systems for corporate banking business of national commercial banks, and warehouse receipt pledge financing records from bulk commodity trading markets. The data is updated daily, covering all quantifiable financing transactions of chemical fiber enterprises from the previous working day. Each data entry takes the enterprise as the core dimension, including fields such as financing entity name, affiliated chemical fiber subcategory, financing amount, financing term, financing cost, credit granting institution, approval date, and arrival date. The unit of financing amount is ten thousand RMB, the unit of financing term is natural days, and financing cost is measured in annualized basis points.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The daily updated data source requires that each multi-turn dialogue call must link to the latest T+1 day dataset, and cannot rely on expired local cache, otherwise outdated financing information will be returned. The large number of chemical fiber subcategories requires that multi-turn dialogue must guide users to clearly specify the specific subcategory, otherwise invalid recall results across categories are likely to occur. The refined classification of fields requires that the prompt preset a unified field mapping rule to avoid the AI from confusing the corresponding relationship between financing entities, categories, and amounts. The demand for batch data retrieval also requires that the dialogue process reasonably control the amount of data recalled in a single time, preventing context overload from affecting reply quality.
How to set the configurations
| Configuration Item | Recommended Value | Rationale for This Setting |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the length of single entries in chemical fiber financing daily reports and the total storage requirement for multi-turn historical conversations, avoiding context overflow |
systemPrompt | Restrict only recalling T+1 day chemical fiber industry financing daily report data, clarify field mapping rules | Constrains the AI to only use the latest data source, avoiding confusion between expired or cross-category financing information |
apiRequestTimeout | 60 seconds | Covers the interface retrieval delay for batch chemical fiber enterprise financing data, preventing data recall failure due to timeout |
retryCount | 3 times | Addresses temporary current limiting or fluctuations in data source interfaces, improving the stability of data acquisition |
tokenCalculatorEnabled | Enabled | Supports accurate statistics of token consumption per conversation after private deployment, facilitating cost accounting |
corsAllowedOrigins | Deployment domain list | Resolves cross-domain issues for front-end interface calls, ensuring normal sending of dialogue requests |
The parameter values provided on this page are common recommended starting points for configuration. The 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 the settings.
Three common mistakes
- Phenomenon: The front-end calls the dialogue interface and returns cross-domain related errors, or the console displays
No 'Access-Control-Allow-Origin' header. Cause: ThecorsAllowedOriginsparameter is not correctly configured, and the front-end access domain name is not added to the allowed list. - Phenomenon: The workflow executes without pulling financing daily report data, and directly generates replies through the large model. Cause: The system prompt does not clearly require prioritizing calling the HTTP interface to obtain the latest data, or the workflow node order is reversed, with the large model node executing before the HTTP request node.
- Phenomenon: After private deployment, token consumption data for each conversation cannot be obtained, or the statistical values are abnormal. Cause: The
tokenCalculatorEnabledparameter is not enabled, or the correct large model token calculation rules are not matched.
How to confirm the configuration is complete
- Initiate a test conversation, specify querying the financing situation of a specific chemical fiber subcategory, and check whether the reply content includes information that conforms to the preset data source scope.
- View the workflow execution log, confirm that the HTTP request node has completed data retrieval, and that the large model node has referenced this data for replies.
- Check the front-end call log, confirm that no cross-domain related errors occur, and the interface request is completed normally.
- Enter the statistics module in the deployment backend, confirm that token consumption data for each test conversation has been normally generated and recorded.
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.