What the data for this category looks like
Financial report analysis data for the software development field comes from publicly disclosed periodic reports, temporary announcements, and internal business accounting financial ledgers. Update cycles follow fixed quarterly, semi-annual, and annual schedules, with temporary releases for major events. A complete single financial report document includes consolidated balance sheet, income statement, cash flow statement, notes to financial statements, and management's discussion and analysis. Core fields cover operating revenue, net profit attributable to parent company, asset-liability ratio, and similar metrics. Units are typically ten thousand yuan or hundred million yuan. Some segmented fields require clear measurement rules based on their respective business scopes.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Fixed periodic updates for financial data require multi-turn dialogue processes to support incremental synchronization, avoiding reloading full historical data. The long text nature of single documents requires context windows to accommodate 10,000 to 30,000 characters of complete financial report content, preventing truncation of key information. Professional caliber differences across multiple fields require prompts to clearly define field definitions and articulation rules, avoiding logical deviations during cross-table association. Multi-turn interactions must retain prior query context, ensuring follow-up questions about articulation relationships can proceed based on confirmed field calibers.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000–16000 characters | Adapts to the text length of a single complete financial report, retaining all core statements and note content |
UPLOAD_FILE_MAX_SIZE | 200 MB | Covers total size limits for bundled uploads of financial report attachments, audit reports, and similar files |
chunkSize | 800–1200 characters | Balances completeness of financial report fields and precision of segmented retrieval, avoiding damage to business calibers during splitting |
similarityThreshold | 0.75–0.85 | Matches precision for financial professional terminology, filtering low-correlation non-financial data |
recallTopK | Top 6–8 results | Covers associated fields of core financial statements, meeting recall requirements for articulation relationship queries |
tokenLimitPerRequest | 8000 tokens | Controls token consumption per query round, avoiding exceeding model interface limits |
The parameter values provided on this page are common recommendations for establishing configuration baselines. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test against your own samples before finalizing.
Three common configuration mistakes
- Cross-origin error returned when front-end calls dialogue interface: Phenomenon: Browser console displays errors related to
Access-Control-Allow-Origin, with status code 403 or 405. Cause: Cross-origin whitelist is not configured, and the current request's domain and port are not allowed. - No response after large file upload: Phenomenon: Upload progress stalls or timeout error is triggered directly for 100,000-character Chinese documents or 15,000-row Excel files. Cause:
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSparameters are not adjusted, exceeding default configuration limits. - Abnormal conversation token consumption statistics: Phenomenon: Background statistics fields are empty, or values do not match actual calls. Cause: The
ENABLE_TOKEN_STATISTICSswitch is not enabled, or the token statistics reporting link is not configured.
How to confirm configurations are set correctly
- Upload a single 100,000-character Chinese financial report document, confirm the upload process completes normally with no timeout or format error prompts.
- Initiate a multi-turn query for cross-table articulation relationships, confirm that the context retains the field caliber from the previous query, and the returned results include corresponding associated financial data.
- Check background logs, confirm that the token consumption field for each conversation is written normally, with no empty values or abnormal numerical values.
- Add the local development domain to the cross-origin whitelist, initiate a front-end interface request, and confirm no cross-origin related errors are returned.
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.