What the data for this category looks like
Energy metals financial report data primarily comes from public annual reports of listed companies, monthly reports from industry associations, and futures exchange market data. There are two update schedules: periodic financial reports are updated on a fixed quarterly and annual basis, while industry spot and futures data is updated daily or in real time. Most documents are in PDF format, with structures containing fields such as production volume, inventory, smelting costs, metal grade, revenue breakdown, and more. Units include tons, yuan per ton, thousand kilowatt hours, and some reports include multi-period comparison tables and trend charts.
Constraints on multi-turn dialogue and prompt engineering
The multi-dimensional professional fields, staged update schedules, and long-document nature of energy metals financial reports create multiple constraints for multi-turn dialogue and prompt configuration. Multi-dimensional professional fields require retaining pre-defined conditions during dialogue, such as specifying metal grade and statistical cycle, to prevent the model from confusing data across different categories or cycles. Long document content requires limiting the context window size to avoid exceeding the model's processing limits and losing key information. Data with different update schedules must be clearly distinguished by source in the prompt, to avoid mixing real-time spot data with periodic financial report data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | A single energy metals financial report often exceeds 3000 characters, so this range is needed to retain financial report parameters and context for multi-turn dialogue and avoid truncating key information |
UPLOAD_FILE_MAX_SIZE | 50 MB | Energy metals financial reports often include multi-period comparison charts, so individual file sizes are larger than general documents, requiring adaptation to large file upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing financial reports requires extracting multi-dimensional table data, which takes longer than plain text documents, so the timeout threshold needs to be extended |
recall count | Top 8 entries | Energy metals financial reports have many fields, so enough relevant financial report snippets need to be recalled to support multi-turn follow-up questions and detail verification |
presignedUrlExpireSeconds | 3600 seconds | Large file uploads require extending the pre-signed URL validity period to avoid the fail to create post presigned url error during upload |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are influenced by material format, data volume, and business rules. Each scenario requires individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Dialogue returns non-standard JSON format, with redundant natural language included in interface display results. This happens when the prompt does not explicitly require only JSON output in the specified structure, and does not disable additional explanatory content.
- The
fail to create post presigned urlerror appears when uploading energy metals financial report attachments after upgrading to version 4.14.3. This is caused by failing to adjust thepresignedUrlExpireSecondsparameter to match the new version's upload logic, or failing to synchronously update the cross-origin configuration of the S3 storage bucket. - Key fields are missing from results returned after multi-turn follow-up questions about financial report data. This occurs when context retention configuration is not enabled, causing subsequent dialogue to lose previously specified limiting conditions such as metal category and statistical cycle.
How to Verify Correct Configuration
- Upload a standard energy metals financial report PDF, and confirm that the extracted fields after parsing include exclusive information such as production volume, smelting costs, and metal grade, to verify that the parsing logic adapts to category characteristics.
- Initiate a multi-turn dialogue: first ask for revenue data for a specific quarter, then follow up with a question about unit smelting energy consumption for that same quarter. Confirm that context is correctly retained, and subsequent replies associate with the pre-specified limiting conditions.
- Upload an energy metals financial report file larger than 20 MB, and confirm that the upload process has no errors, and the parsing task completes normally within 300 seconds.
- Test triggering the attachment upload process, confirm that the pre-signed URL is generated without abnormalities, no timeout-related errors occur, and verify that S3 storage configuration and parameter settings match.
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.