What the data for this category looks like
Packaging and printing industry financial report data comes from public periodic disclosures of listed companies. It is updated quarterly and annually, with disclosure timelines complying with regulatory requirements. Most documents are in PDF format, with sections including business performance discussion and analysis, consolidated financial statements and notes. Core fields cover operating revenue, operating costs, gross margin, plus industry-specific metrics such as production capacity utilization rate, raw material procurement volume, per-batch printing cost, and more. Most field units use RMB ten thousand yuan, production capacity tons, printed ten thousand sheets, and similar units.
What constraints these characteristics impose on multi-turn dialogue and prompting
Packaging and printing financial report documents are lengthy, containing both general financial fields and industry-specific fields. Multi-turn dialogue must adapt to long context inputs to avoid losing critical data due to context truncation. Industry-specific fields like production capacity and raw material procurement volume require prompts to clearly distinguish between general financial indicators and packaging and printing business indicators, preventing model confusion. Financial reports are updated on fixed cycles, so multi-turn dialogue must retain the current report’s disclosure cycle information to avoid cross-cycle data calls. Some fields have unit differences, so prompts must uniformly require data to be labeled with units, or explicitly specify output units, to prevent inconsistent unit results.
How to set configurations
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The parsed text of a single packaging and printing financial report is mostly between 5000 and 10000 characters, adapting to the context retention needs of multi-turn dialogue |
json_schema | Include industry-specific field validation rules | Packaging and printing financial reports have unique fields such as production capacity and raw material procurement volume, so output format compliance must be validated |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Long financial report documents take longer to parse, avoiding data loading interruptions due to timeout |
retrieval_top_k | Top 5–7 entries | Packaging and printing financial reports have many scattered fields, so retrieving an appropriate number of entries covers core business and financial indicators |
similarity_threshold | 0.75–0.85 | Filter low-relevance general financial queries, focusing on packaging and printing-specific business data |
system_prompt_template | Clearly specify the financial report cycle and unit requirements, call the platform's built-in time variable | Packaging and printing financial reports require clear disclosure cycles and unified unit requirements; built-in time variables ensure accurate and compliant timestamping |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: After configuring
json_schema, the model output has missing fields and fails to match packaging and printing financial report-specific metrics. Cause: Validation rules for exclusive fields such as production capacity and raw material procurement volume were not added to the schema, causing the model to fail to generate compliant content. - Issue: When reopening a historical conversation, the automatic reply content is empty and previous conversation context cannot be loaded. Cause: The
auto_save_chat_historyconfiguration was not enabled, or the save scope only covers single-turn dialogue without retaining multi-turn interaction data. - Issue: Financial report analysis tasks in workflow mode take significantly longer than in standalone debugging sessions. Cause:
maxContextwas not adjusted to adapt to long financial report documents, or the number of retrieved entries was set too high, causing a large amount of redundant data to be loaded and processed.
How to confirm proper configuration
- Upload a packaging and printing financial report document, initiate consecutive queries covering both general financial and industry-specific fields, and check whether the multi-turn dialogue context is correctly retained.
- After configuring
json_schema, initiate a query covering packaging and printing-specific metrics, and verify whether the output format complies with the preset validation rules. - View the conversation history record to confirm that each round of reply content is fully saved, with no missing or cleared entries.
- Initiate a prompt test containing time variables, and check whether the timestamp automatically matches the platform's current date, with no fixed incorrect values.
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.