Model Access and Configuration for Feed Industry Financial

What Data for This Category Looks Like

Feed industry financial report data primarily comes from annual and quarterly reports publicly disclosed by domestic and overseas stock exchanges, plus monthly statistical data released by industry associations. Most documents are in PDF format, containing a large number of structured tables and paragraph-style explanations. Core data is concentrated in the financial statement notes and business operation analysis sections. Fields include compound feed output, raw material procurement costs, per-ton feed gross margin, etc., with clear units such as "ten thousand tons" and "yuan/ton". Update cycles: annual reports are released once per year, quarterly reports once per quarter, and industry statistical data is updated monthly.

What Constraints Do These Characteristics Impose on the Model Access and Configuration Process

The multi-source nature of feed industry financial reports requires models to adapt to both structured report and unstructured announcement data formats, and multi-modal parsing rules must be configured. Data with different update frequencies requires corresponding scheduled synchronization cycles, so trigger logic for annual, quarterly, and monthly data must be distinguished during data access. Professional terms and clear units for core fields require the model to have industry term recognition capabilities, and field mapping rules must be configured to unify units and formats across data from different sources. Parsing long documents requires adapting to a large context window and long timeout periods to avoid truncation of critical data.

Recommended Configuration Settings

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`30 MB`	Single annual financial report PDF for the feed industry typically does not exceed 25 MB. This value covers most scenarios and prevents upload limit errors.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Long financial reports contain large numbers of tables and nested content. Complete parsing requires extended time, so this value prevents parsing interruptions due to early timeout.
`Segment Length`	`1500 characters`	Core table paragraphs in feed industry financial reports typically fall between 1200 and 1800 characters. This value fully preserves field and unit information within tables.
`Number of Retrieved Entries`	`Top 6`	Core analysis data for feed industry financial reports is distributed across three key sections: revenue, costs, and production capacity. Retrieving 6 entries covers the main analysis dimensions.
`Minimum Tool Call Confidence`	`0.75`	The feed industry has a large number of professional terms. This confidence level ensures the model triggers tool calls only when it clearly identifies financial report analysis requirements, reducing false triggers.
`Similarity Threshold`	`0.65`	Semantic similarity of industry terms is relatively high. This threshold prevents retrieval of irrelevant documents while covering semantic variants of professional terms.

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

Three Common Configuration Errors

Phenomenon: Tool call fails. The AI directly generates unstructured responses without invoking the financial report parsing tool. Cause: The Minimum Tool Call Confidence value is set too high, or no industry term prompt guidance is configured, so the model cannot identify tool call requirements in financial report analysis scenarios.
Phenomenon: A 413 Request Entity Too Large error occurs during financial report parsing. Cause: The UPLOAD_FILE_MAX_SIZE value is smaller than the size of a single financial report file, exceeding the platform's upload limit.
Phenomenon: Parsed financial report fields lack units or have incorrect numerical deviations. Cause: No Segment Length configuration adapted to the feed industry financial report table structure, leading to truncation of long tables and loss of unit information.

How to Verify Proper Configuration

Upload a single feed industry annual financial report PDF, check if parsed data fields include core items such as compound feed output and raw material procurement costs. Adjust Segment Length if any items are missing.
Trigger a financial report analysis task, view tool call logs, and confirm that the corresponding tool is invoked when financial report data is required. Adjust Minimum Tool Call Confidence if no tool call occurs.
Test uploads of financial report files of different sizes, confirm that upload proceeds normally without errors. Adjust UPLOAD_FILE_MAX_SIZE if errors occur.
Verify that parsed numerical units are unified. Adjust field mapping configuration if unit confusion exists.

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.