What the data for this category looks like
Military electronics financial report data primarily comes from public periodic reports of listed military electronics enterprises, publicly disclosed industry military product procurement information, and official enterprise announcements. Quarterly reports are released within 45 days after the end of each quarter. Annual reports are disclosed by the end of April each year. Temporary announcements are released within two trading days after relevant events occur.
Document structures include fields for main business segment revenue, R&D investment details, order backlog size, core military product revenue proportion, and general financial content such as cash flow, assets, and liabilities. Field units include 100 million yuan, 10,000 yuan, and 10,000 units, among others. Military-related business fields primarily use business segment revenue and order amount as core statistical items.
What constraints do these characteristics impose on multi-turn dialogue and prompting?
Military electronics financial report data sources are scattered and have varied update schedules. Multi-turn dialogue must associate disclosure content across different time nodes, so context memory mechanisms must accurately match different batches of announcement information.
There are many segmented business segments and clearly defined fields. Multi-turn dialogue must remember the specific business direction specified by users to avoid confusing revenue and order data across different segments.
Single financial report documents are lengthy. Multi-turn dialogue context windows must adapt to long text parsing requirements, while automatically filtering redundant information during interactions to prevent exceeding model context limits.
Publicly disclosed military-related data is mostly presented in segment dimensions. Prompts must guide extraction of publicly available segment information, and avoid requesting undisclosed detailed subdivisions.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Parsed text length of a single annual military electronics financial report mostly falls in the thousands of characters range. Multi-turn dialogue needs to retain context for more than three rounds of interaction, and this range covers parsing and interaction needs for most public financial reports. |
maxConversationHistoryLength | 6–10 turns | Multi-turn questions for military electronics financial report analysis mostly revolve around three core directions: business segments, orders, and R&D. More than six rounds can cover a complete interaction chain and avoid context overflow. |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Military electronics financial report documents often contain large amounts of segmented business data and charts, leading to long parsing times. 120 seconds ensures complete parsing of long documents. |
Recall Count | Top 8–12 entries | Publicly disclosed information for military electronics financial reports is mostly sorted by time. Recalling 8-12 entries covers data from the latest two to three reporting periods involved in user questions. |
Similarity Threshold | 0.75–0.85 | Business segment fields in military electronics financial reports have relatively high similarity. This threshold filters irrelevant non-military sector financial content and accurately matches the business direction of user questions. |
UPLOAD_FILE_MAX_SIZE | 50 MB | PDF documents of military electronics financial reports often contain charts and attachments, and single document size usually does not exceed 50 MB. This configuration allows uploading complete public financial report files. |
The parameter values provided on this page are conventional recommendations used as a starting point 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 configuration mistakes
- Phenomenon: Setting
maxConversationHistoryLengthto 6, but the model cannot associate military business segment information from the previous round. Cause: Only limiting the number of conversation turns without synchronously configuring the character limit formaxContext, resulting in valid text from the previous round not being retained, leading to context breakage. - Phenomenon: Garbled text fragments appear in extracted business data after uploading a military electronics annual financial report. Cause: Failure to adjust the value of
PARSE_FILE_TIMEOUT_SECONDS, leading to partial text not being fully loaded due to long document parsing timeout, leaving garbled content. - Phenomenon: When switching to ask about different military business segments during multi-turn dialogue, the model always returns revenue data for the same segment. Cause: The prompt does not bind the current conversation's business context, and does not lock the user's post-switch segment query target through turn memory.
How to confirm correct configuration
- Initiate a question that specifies a target military business segment, then initiate a follow-up question linked to that segment, and verify that the model correctly associates the segment information from the previous round.
- Upload a complete annual military electronics financial report, check that the parsed text has no garbled fragments, and confirm that the parsing duration matches the configured
PARSE_FILE_TIMEOUT_SECONDSvalue. - Adjust the
Recall CountandSimilarity Thresholdconfigurations, initiate a question targeting a specific reporting period, and verify that the returned results cover publicly disclosed data for the target reporting period. - Test uploading a single maximum-size financial report document, confirm that the upload and parsing process does not trigger timeout errors, and verify that the configured
UPLOAD_FILE_MAX_SIZEmatches the document size.
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.