What the Category’s Data Looks Like
Condiment enterprise financial report data is sourced from periodic reports publicly disclosed by stock exchanges and publicly available industry research datasets. Update frequencies follow three schedules: annual reports every 12 months, quarterly reports every 3 months, and channel sales data every month. Document structures include a core operating data summary table, segmented product revenue breakdown, raw material and packaging cost composition, and detailed channel distribution. Data fields include total revenue per product segment, raw material procurement amount, packaging cost amount, offline channel revenue scale, and online channel revenue scale, with all units in yuan.
Constraints for Tool Calling and Plugins
The multi-dimensional structured data and multi-cycle update characteristics of condiment financial reports impose clear constraints on tool calling and plugin configuration. First, financial reports include associated tables covering multi-segment revenue and multiple cost items. Tool calling must support SQL generation for multi-table associations to avoid missing segmented dimension data. Second, different cycle data sources require separate calling rule configurations. Plugins must support scheduled pull tasks for annual, quarterly, and monthly cycles to prevent data confusion. Third, financial report documents have mixed text and table formats. Tool calling must support structured parsing and field mapping to ensure extracted fields match preset parameters. Fourth, cost and channel data scattered across different sections require tools to accurately locate and extract across sections to ensure data completeness.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Condiment annual financial report PDFs include multi-page charts and detailed tables, requiring sufficient time for complete parsing |
UPLOAD_FILE_MAX_SIZE | 200 MB | Complete annual financial report PDF files often exceed the size of conventional documents, requiring support for large file uploads |
SQL_GENERATE_MAX_TABLES | 8 | Condiment financial reports include multiple associated tables such as revenue, cost, and channel data. Limiting the number of associated tables avoids generating invalid queries |
WORKFLOW_NESTED_KNOWLEDGE_LIMIT | 3 | Nested knowledge base calls require controlling the hierarchy to avoid returning null values due to excessive levels |
PLUGIN_API_TIMEOUT | 60 seconds | Third-party bulk commodity price query plugins need to cover standard response durations to adapt to raw material data call requirements |
RECALL_CHUNK_SIZE | 1000–1500 characters | Financial report paragraphs include multi-field associated information, requiring complete context to support accurate SQL generation |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Common Misconfigurations
- Scenario: Triggering a workflow via API versions higher than v4.8.10, with nested knowledge base assistants returning null values. Cause: No reasonable value configured for the
WORKFLOW_NESTED_KNOWLEDGE_LIMITparameter, leading to exceeded hierarchy limits. - Scenario: Generated SQL query results have missing fields that cannot match financial report segmented product details. Cause: The
SQL_GENERATE_MAX_TABLESparameter is not set, resulting in insufficient associated tables to cover multi-dimensional data. - Scenario: Plugin calls return the
You need to use the app key rather than the account keyerror. Cause: An account key is used in plugin configuration instead of an application key, and thePLUGIN_APP_KEYparameter is not correctly filled.
How to Confirm Proper Configuration
- Upload a single annual financial report PDF, check if the parsed structured fields include preset product segments and cost items, and verify that field mapping matches the configured settings.
- Trigger a scheduled pull task, check if different cycle data sources update at the preset frequency, and verify the completeness of plugin call return data.
- Call the test SQL generation tool, input a financial report-related query command, and check if the generated SQL associates the correct financial report tables.
- Simulate a plugin call, replace the actual key with a test key, and verify that the error message matches the expected authentication rules for the configured settings.
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.