What the data for this category looks like
Airport and aviation financial report data mainly comes from publicly disclosed documents of Civil Aviation Regional Administrations, annual and quarterly reports of listed airport groups, and monthly civil aviation industry operation briefings. Some hub airports also release regional passenger flow distribution data. Data update schedule: Monthly operation data is updated each month. Quarterly financial reports are released within 15 working days after the end of each quarter. Audited annual financial reports must be disclosed by the end of March of the following year. Document structures typically include four modules: core operation indicators, detailed financial revenue and expenditure, cost composition, related party transactions, and major matters. Unique fields include passenger throughput (unit: person-times), cargo and mail throughput (unit: tons), and takeoff and landing sorties (unit: sorties). Most financial fields use ten thousand yuan or hundred million yuan as the valuation unit.
What constraints these characteristics impose on multi-turn dialogue and prompting
High-frequency updates of monthly operation data require support for real-time calls to the latest data in multi-turn dialogue. The prompt must clearly define the data time range to prevent the model from using expired data. The need for combined analysis of multiple fields, such as linked calculation of takeoff and landing sorties and passenger throughput, requires the prompt to clearly specify the corresponding logic of each field to avoid confusion between indicators with different units. The long document structure causes context overload issues. The length of dialogue context must be limited to prevent the model from confusing financial report data from different modules. The audit attribute of quarterly and annual financial reports requires the prompt to include guidance for verifying the credibility of data sources. It must also clearly prohibit annual performance forecasts using unaudited monthly data. Regional subdivision dimensions of some data also need clear matching rules in the prompt.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | A single airport financial report document often exceeds 5000 characters. Multi-turn dialogue needs to retain 3 rounds of interaction context to avoid context overflow |
recall_top_k | Top 6–8 entries | Financial reports include multiple modules of operation and financial data, so enough associated fields must be recalled to support linked analysis |
PROMPT_TEMPLATE | Fixed prefix including data time range verification, unit unification instructions, and field corresponding rules | The units of airport-specific fields must be clarified in advance to prevent the model from confusing measurement standards of different indicators |
FILE_PARSE_CHUNK_SIZE | 1500–2000 characters | Financial report modules are clearly split, and the segment length adapts to module boundaries to prevent the model from confusing content across modules |
AI_RESPONSE_HIDE | Specify hiding by node ID | Adapt to output hiding requirements of multi-AI node workflows, preventing replies from intermediate nodes from interfering with final dialogue |
MAX_RETRY_TIMES | 2–3 times | Format matching errors may occur during financial report data verification, and retries can correct deviations between prompts and data |
The parameter values provided on this page are common recommended starting points for configuration. 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.
Three common mistakes
- The symptom is that only a single question can be asked in the workflow, and subsequent follow-up questions cannot be triggered. The cause is that the
maxContextparameter is not configured to retain historical interaction context, so the model cannot obtain previous question information. - The symptom is that all
<ai dialogue>node replies are displayed in the chat interface after the workflow runs. The cause is that theAI_RESPONSE_HIDEconfiguration is not enabled, and the node ID to be hidden is not specified. - The symptom is that the units in the model output do not match the financial report document, such as marking passenger throughput as tons. The cause is that the prompt template does not clearly define the unit corresponding rules for each field, and does not label airport-specific fields.
How to confirm the configuration is correct
- Upload a single annual financial report document, trigger multi-turn dialogue, and verify if the model can associate the time range of the prior question with the current data.
- Configure multiple
<ai dialogue>nodes, run the workflow, and verify that only the final node's reply is displayed in the chat interface. - Test questions about different airport-specific fields, and verify that the units in the model output match the field units in the financial report document.
- Adjust the number of dialogue interaction rounds, and verify that the model can continuously reference context information from previous questions.
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.