What the Data for This Category Looks Like
Financial report data for railway and highway operating entities comes from official regular announcements and road network operation statistics released by the operating entities. Updates follow a quarterly and annual schedule. Official documents are mostly in PDF format. Document structure includes modules such as core operating indicators, cost composition, cash flow, and road network operation data. Fields cover passenger volume, freight turnover, road network mileage, unit operating cost, and more. Common units include passenger trips, ten thousand ton-kilometers, yuan per vehicle-kilometer, and other specialized measurement standards.
Constraints on Multi-turn Dialogue and Prompt Engineering
Financial report data sources are scattered. Coverage must include both internal enterprise financial reports and public road network operation data. Multi-turn dialogue must first guide users to clarify the data subject and report period, to avoid confusion from different statistical standards. Single documents have significant length. Multi-turn dialogue must support segmented recall. Prompts must specify extraction of specific fields to prevent omission of key operating data. Field units have specialized requirements. Prompts must enforce verification of unit consistency to avoid results where values do not match their units. Fixed update schedules support preset time range parameters. Multi-turn dialogue can quickly locate the report period requested by users.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The core chapters of single railway and highway financial reports are mostly 5000-10000 characters long. This value range fully covers key data and avoids truncation of important information |
recall_top_k | Top 6–8 results | Financial report data fields are scattered. Sufficient segmented recall is needed to cover modules such as revenue, cost, and operating indicators, while controlling redundant information |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Single PDF financial reports contain tables and charts, which take longer to parse. This value covers most normal parsing scenarios |
system_prompt_template | Customized following the rule: first clarify data source and period, then answer step by step, and label corresponding field units in returned results | Railway and highway financial report field units have specialized requirements. Prompts must enforce verification of unit consistency to avoid confusion between measurement standards |
TOOL_CALL_MAX_RETRIES | 2 retries | Database calls may fail due to network fluctuations or SQL syntax errors. Retries reduce the chance of dialogue interruptions |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: A 400 status code (no body) is returned when calling the MySQL database tool. Cause: Database connection field mapping is not configured correctly, causing the SQL statement to fail to match specialized railway and highway financial report fields such as freight turnover.
- Phenomenon: Form nodes in the dialogue interface display an unexpected format. Cause: Form node input items are not bound to specialized financial report fields such as passenger volume and road network mileage, causing the system to fail to recognize the corresponding data types.
- Phenomenon: Historical global variables cannot be loaded in new conversations in the workflow. Cause: Conversation persistence configuration for global variables is not enabled, and the trigger condition for loading historical variables is not specified in the prompt. This causes variables to only persist during the current conversation lifecycle.
How to Verify Successful Configuration
- Upload a single railway and highway financial report document, initiate a conversation test, and confirm that the system can correctly extract specified fields and label their corresponding units.
- Initiate a multi-turn dialogue, sequentially ask for operating data from different periods, and confirm that the system retains historical context and gradually refines its responses.
- Configure a MySQL tool call node, enter a simulated financial report query statement, and confirm that the tool returns data normally without 400 status code errors.
- Publish a login-free link, delete the conversation, and confirm that operation records are retained in the background logs to verify that the log retention configuration is effective.
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.