Multi-turn Dialogue and Prompt Engineering for Paper Manufacturing Financial Report Analysis

Paper manufacturing industry financial report data comes from two main sources: publicly disclosed periodic reports of listed companies, and monthly

What the Data for This Category Looks Like

Paper manufacturing industry financial report data comes from two main sources: publicly disclosed periodic reports of listed companies, and monthly operating data released by the China Paper Industry Association. Quarterly reports are disclosed within 45 days after the end of each quarter. Annual reports are disclosed within 4 months after the end of each fiscal year. Industry monthly data is released in the first 10 days of the following month. Documents typically include core operating data sections, split into revenue, production capacity, output and other modules by product category. Supporting data related to raw material procurement and unit production costs is also included. Field units are standardized as tons and ten thousand yuan. Output and raw material procurement volume use tons as the unit. Revenue and unit production costs use ten thousand yuan as the unit.

Constraints Imposed on Multi-turn Dialogue and Prompt Configuration

The fixed disclosure cycle and detailed data granularity of paper manufacturing financial reports create clear constraints for multi-turn dialogue and prompt configuration. The interval between financial report disclosures is long. Multi-turn dialogue must support comparative queries across reporting periods. Prompts must clearly specify the range of comparison reporting periods. Data is broken down by product with fine granularity. Multi-turn dialogue must support instructions to filter data by product category. Prompts must preset the mapping between product classifications and financial report fields. Data units are standardized. Multi-turn dialogue must automatically align units to avoid confusion. Prompts must preset unit verification logic. Industry data includes fields related to raw materials and production capacity. Multi-turn dialogue must support associated queries. Prompts must preset association trigger rules.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersA single paper manufacturing financial report document is typically 5000–10000 characters long. Multi-turn dialogue must retain context from multiple reports to avoid truncating critical data
TOOL_CALL_MAX_STEPS3–5 timesPaper manufacturing financial report analysis requires sequential queries of product-specific data, production capacity data, and raw material data. Core analysis requirements can be covered with no more than 5 multi-turn tool calls
PARSE_FILE_TIMEOUT_SECONDS600 secondsParsing a single annual financial report PDF takes significant time. This setting prevents parsing failures due to timeout
Recall Top KTop 6–8 resultsCore fields such as product-specific data and production capacity data in paper manufacturing financial reports are distributed across multiple paragraphs. Recalling 6–8 results covers all information needed for complete analysis
Similarity Threshold0.75–0.85This filters out irrelevant industry-general data, only recalling financial report fields directly related to the paper manufacturing category
UPLOAD_FILE_MAX_SIZE200 MBPDF attachments of annual financial reports in the paper manufacturing industry usually do not exceed 150 MB. This sets a reasonable upper limit

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 targeted analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Financial report data returned after tool calls is not displayed in real time in the dialogue window. Only partial results are visible after re-entering the session. The TOOL_CALL_SYNC_RETURN parameter is not configured to enabled status, causing tool call results to be cached asynchronously and not synchronized to the dialogue window in real time.
  • When querying product-specific revenue data in multi-turn dialogue, returned results mix revenue fields from other light industrial categories. The prompt does not explicitly specify that only product fields from the paper manufacturing category should be recalled, causing RAG recall results to include irrelevant data.
  • After uploading a single annual financial report PDF, the session triggers a Request Time error. The PARSE_FILE_TIMEOUT_SECONDS parameter is not adjusted to a reasonable range, causing parsing timeout for large single financial reports. Local deployment large model timeout retry logic is also not configured.

How to Verify Proper Configuration

  • Upload a single paper manufacturing annual financial report PDF to trigger a parsing task. Verify that the fields returned after completed parsing include product-specific revenue, production capacity utilization and other data exclusive to the paper manufacturing industry.
  • Initiate a multi-turn dialogue, sequentially query revenue data for two consecutive quarters. Verify that the dialogue window retains the context of both queries and supports comparative analysis.
  • Configure the tool call function, initiate an instruction to query raw material procurement volume. Verify that the tool call result is displayed in real time in the dialogue window.
  • Adjust the maxContext parameter, then upload multiple cross-period financial report documents. Verify that the session does not experience field loss caused by context truncation.

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.