What This Category’s Data Looks Like
Specialty chain financial report data primarily comes from store POS systems, supply chain management platforms, and headquarters financial accounting systems. Data update cycles are divided into monthly store-level details, quarterly regional summaries, and annual full financial reports. Document structures include structured revenue and cost tables, single-store operating indicator details, and regional sales proportion explanations. Fields include store number, daily revenue, sales per square meter, procurement cost proportion. Units are mostly yuan, square meters, and customer visits. Some indicators require specific unit labels based on business scenarios.
Constraints Imposed on Multi-turn Dialogue and Prompting
The multi-dimensional hierarchical data characteristics of specialty chain financial reports require multi-turn dialogue to retain the current session’s store, region, and time range context, to avoid repeated parameter specification. There are many detailed data fields, so prompts must predefine field business definitions to prevent the model from confusing store numbers and regional codes. Data with different update cycles must support switching queries by time dimension, and multi-turn dialogue must allow adjustment of data granularity, switching from single-store details to regional summaries. Additionally, the mixed document structure of structured tables and text explanations requires prompts to explicitly specify parsing priority, prioritizing extraction of structured fields for numerical calculations.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Specialty chain financial reports include multi-store detailed data; multi-turn dialogue must retain key context such as store and time range to avoid parameter loss |
temperature | 0.1–0.3 | Financial report analysis requires strict matching of business fields and data definitions; low temperature ensures output consistency and avoids generating non-preset indicators |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single quarterly financial report may include structured details from dozens of stores; the parsing process must reserve sufficient time to complete field extraction and format organization |
RECALL_TOP_K | Top 8–12 entries | Financial report data has many dimensions; enough structured fields and detailed entries must be recalled to support multi-dimensional query needs in multi-turn dialogue |
CHAT_HISTORY_SCOPE | Session-level isolation | Financial report analysis sessions from different users must store context independently to avoid confusion of store and regional parameters across sessions |
SYSTEM_PROMPT | Predefine business definitions for fields such as store number and sales per square meter; explicitly specify multi-turn context retention rules | Specialty chain financial reports have exclusive business indicators; predefining field mappings avoids the model confusing the meanings of indicators across different dimensions |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Issue: Multi-turn dialogue cannot retrieve specific content from previous questions, and the model cannot associate context for subsequent analysis. Cause:
CHAT_HISTORY_SCOPEis not configured for session-level storage, or rules for retaining historical questions are not explicitly defined in the prompt, leading to loss of key context. - Issue: Dialogue response content takes longer than 600 seconds to return, and backend logs show the model call group count is 1. Cause: The
PARSE_FILE_TIMEOUT_SECONDStimeout parameter is not configured, or its value is lower than the actual parsing time required for a quarterly financial report, causing the large model to exceed the threshold when waiting for data parsing. - Issue: After adding a database connection plugin to the dialogue, an error occurs during query execution, prompting "connection failed" or "field mismatch". Cause: Database connection access permissions and timeout parameters are not configured, or the prompt does not explicitly specify the range of financial report fields for queries, causing the plugin to fail to match the structured format of business data.
How to Verify Proper Configuration
- Initiate multi-turn test dialogue: first specify a single store ID and time range, then submit a follow-up cost analysis question associated with that store, and confirm the model can associate the previously specified store and time parameters.
- Upload a single quarterly financial report file, monitor parsing process duration, confirm no timeout errors occur, and match preset timeout parameter rules.
- Adjust the model’s temperature parameter, submit two identical financial report query questions, and confirm consistency between the two output contents to verify parameter effectiveness.
- Add a database connection plugin and configure corresponding business fields, submit a query request, and confirm the plugin can normally return matching financial report data without connection-related errors.
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.