What This Category of Data Looks Like
Vehicle annual report data mainly comes from the official investor relations sections of listed vehicle manufacturers and securities exchange disclosure platforms. Quarterly reports are released within 45 days after the end of each quarter. Annual reports are updated within 4 months after the end of the year. Most documents are in PDF format. Their structure includes consolidated financial statements and supplementary operating data schedules. Fields cover total revenue, per-vehicle gross profit, vehicle sales, production capacity utilization rate, and more. Units are 100 million yuan, yuan per vehicle, 10,000 vehicles, and percentage.
Constraints Imposed by These Characteristics on Model Access and Configuration
The complex table structure and fixed update schedule of vehicle annual reports create multiple constraints for the model access process. Multi-page nested PDF documents require models to support cross-page table recognition and field association. This prevents loss of data association relationships after splitting. Single documents have a long length. This requires adaptation to long-text processing capabilities to avoid truncation of key operating data. Fields have specific attached units. For example, sales uses 10,000 vehicles as its unit, and revenue uses 100 million yuan. Models must accurately match fields and their corresponding units to avoid mismatched values and units. The fixed update cycle requires the access process to quickly adapt to newly released report formats. No frequent adjustments to parsing rules are needed.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Core associated data for a single segment of vehicle annual reports is mostly within 2000 characters. This range covers 3 to 5 segments of associated data and avoids context loss |
UPLOAD_FILE_MAX_SIZE | 500 MB | Annual vehicle report PDFs are usually no larger than 300 MB. Reserve 200 MB of redundant space for attached dealer data attachments |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing multiple tables in long annual report PDFs takes significant time. 600 seconds covers the parsing process for most complex documents |
chunkSize | 1000–1500 characters | Structured fields in vehicle annual reports are mostly core row content from a single table. This range fully includes key information for a single financial table |
similarityThreshold | 0.75–0.85 | Financial report terminology is highly standardized. This range filters low-relevance general content and retains accurate financial field matching |
recallTopK | Top 6 entries | Core associated data for vehicle annual reports is distributed across 3 to 5 table segments. 6 entries cover all associated information and avoid redundant recall |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing the configuration.
Three Common Mistakes
- Phenomenon: After setting
maxHistoryto 6, the model cannot recall the previous round of questions about report data. Reason: ThemaxContextparameter was not adjusted synchronously to adapt to the context occupancy of historical messages, or the multi-turn conversation configuration item was not enabled, causing historical conversation content to be truncated early. - Phenomenon: When accessing Tongyi Qianwen via OneAPI, the test interface returns a
401 Unauthorizederror. Reason: The platform key and model mapping rules of OneAPI were not filled correctly, or the access address did not point to the exclusive service endpoint of Tongyi Qianwen. - Phenomenon: After uploading an annual vehicle report PDF, the parsed result lacks the per-vehicle gross profit related fields. Reason:
chunkSizewas set too small, truncating the table row containing this field, or the nested table parsing switch was not enabled, causing operating data distributed across pages to not be fully extracted.
How to Confirm the Configuration Is Correct
- Upload a local vehicle annual report PDF, check the field integrity of the parsed result, and confirm that core financial and operating data are correctly extracted.
- Initiate two consecutive questions. First, ask about single-quarter vehicle sales. Second, ask about the revenue of the corresponding quarter. Confirm that the model can associate the results of the two rounds of questions.
- Run the OneAPI access test, confirm that the interface returns a
200 OKstatus code, and the returned model response contains content consistent with report logic. - Modify the configuration parameters in the workflow, republish to the corresponding channel, and confirm that the calling logic on the channel side has been synchronously updated to the latest configuration.
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.