What does data for this category look like
Data sources for software development revenue rate and market trend data include internal project work hour ledgers, contract payment records, third-party software development service quotation platforms, and R&D resource consumption reports. Two update schedules apply: daily report data receives a full update every midnight, and real-time market data syncs the latest quotations every 15 minutes. The document structure of a single data entry is a structured item, including unique project identifier, development cycle (unit: person-days), labor input cost (unit: CNY), total contract amount (unit: CNY), number of delivery node completions (unit: count), and market quotation range for similar projects (unit: CNY/function point). No percentage-based statistical fields are included.
What constraints do these characteristics impose on the multi-turn dialogue and prompt engineering link
The scattered nature of data sources requires multi-turn dialogue to support cross-data source field mapping. Prompts must clearly specify the data source type corresponding to each data entry to avoid confusion between internal ledgers and external market data. Differences in update schedules require that the time range of the data must be explicitly specified in dialogue queries; using only "latest data" as a query condition will trigger a mismatch between real-time data and daily report data. The relatively large number of fields requires prompts to clearly define field priorities, prevent generated results from omitting core information such as labor input cost and total contract amount, and limit the context length of single-turn dialogue to avoid information overload.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Software development daily reports have many data fields. This range preserves multi-turn dialogue history requests, field mapping rules, and data source identifiers to avoid context overflow |
ragRecallNum | Top 6 entries | Software development market data has many entries. Too many recalled entries will cause excessive context load, while too few will lose key quotation reference information |
promptTemplate | Fixed as "Generate software development revenue rate and market trend daily report, must include {projectId}, {manpowerCost}, {contractAmount}, data time range is {timeRange}" | Explicitly specifies required fields and time range to avoid field mismatches or missing information in generated results |
UPLOAD_FILE_MAX_SIZE | 50 MB | Software development project ledgers are mostly in Excel or CSV format, and single files typically do not exceed 50 MB. Uploads will fail beyond this limit |
streamResponse | Enabled | Generating daily reports usually requires integrating multi-source data, which takes a long time. Streaming returns improve user interaction experience |
contextWindowClearThreshold | 15000 characters | Excessive historical records in multi-turn dialogue will cause the model to confuse field ownership. This threshold automatically cleans expired context content |
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 individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Content becomes chaotic after splicing two AI outputs in multi-turn dialogue, and field ownership is unclear. Cause: Prompts are not used to add clear data source identifiers and field boundaries to outputs from each dialogue turn.
- Phenomenon: Calling the dialogue log interface returns empty data, or complete historical records cannot be exported. Cause: The
enableDialogLogconfiguration item is not enabled, or the correct project ID and time range are not specified during query. - Phenomenon: After uploading an image, the model cannot interpret it, or returns an error stating "unable to recognize content". Cause: The
imageRecognitionEnabledconfiguration item is not enabled, or the v4.8.10 version does not have correct permissions configured for image uploads.
How to confirm configurations are set correctly
- Two query requests with different data sources are initiated, and returned results are confirmed to correspond to the specified internal ledger or external market fields respectively.
- The dialogue log interface is called, the project ID and time range are entered, and the number of returned records is confirmed to match the actual number of initiated dialogue requests.
- A JPEG format test image is uploaded, and the model is confirmed to correctly recognize text or content in the image.
- The guest dialogue window is enabled, a data query request is initiated, and returned results are confirmed to be output in streaming chunks.
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.