What the Data for This Category Looks Like
Coke investment research data comes from Dalian Commodity Exchange public delivery data, major coastal port spot price systems, China Coking Industry Association survey data, and steel mill purchase ledgers. Update follows this schedule: futures data updates daily after market close, spot prices update daily, industry survey data updates weekly, and monthly supply and demand reports are published monthly.
Documents fall into two categories: structured reports and unstructured research reports. Structured reports include fields such as delivery grade, ex-warehouse price, port inventory, and daily average output, with units of yuan/ton, 10,000 tons, and tons. Unstructured research reports include long-form content such as supply and demand analysis and policy interpretations.
Constraints on Context and Token Management
The multi-source nature and document traits of coke data create multiple constraints for context and token management. Structured reports have many fields and uniform units. Unstructured research reports are lengthy and dense with technical terms, leading to high per-document token usage. Total context stitching volume must be kept within reasonable bounds.
Daily updated spot data requires high-frequency recall. If the context window is set too small, the system misses the latest price change information. Long-form monthly supply and demand reports need adaptive segmentation rules to avoid exceeding the model's token limit and truncating key content.
Field differences across multi-source data increase context stitching complexity. Unaligned fields lead to increased invalid token usage. Cross-cycle investment research analysis requires retaining historical context. An unreasonable recall count setting causes missing key historical data or excessive token consumption.
How to Set Configuration Values
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Individual coke unstructured research reports typically range from 5000 to 8000 characters. When combined with multi-source structured data stitching, this range covers core context without exceeding the token limits of most general-purpose models |
chunkSize | 1000–1500 characters | Coke data includes long sections of supply and demand analysis and multi-field structured reports. This segmentation length balances token utilization and semantic integrity |
similarityTopK | Top 8–12 results | Investment research scenarios need to cover multi-source data including spot, futures, and industry policies. This recall count covers core information while avoiding excessive token consumption |
rerankTopN | Top 3–5 results | Only the most relevant context is retained after reranking, reducing invalid token usage and meeting the precise information needs of investment research scenarios |
tokenLimitPerDocument | 15000 characters | Individual monthly supply and demand reports may exceed 10000 characters. This limit prevents key information from being lost due to forced truncation of long documents |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Structured report data uploaded in bulk for coke has a large volume. 120 seconds ensures complete parsing without timeouts |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After specifying a large model version, actual calls still consume token quotas from the old version. Cause: The dedicated API key for the corresponding model is not bound in system settings, or the application-level context configuration was not updated synchronously.
- Phenomenon: Knowledge base search and question optimization functions continuously generate additional token fees. Cause: The platform's default public call link is not disabled, or the custom token is not correctly associated with the corresponding functional module.
- Phenomenon: Content truncation appears after long document parsing, and logs prompt token limit exceeded. Cause: The
tokenLimitPerDocumentconfiguration item was not adjusted, and the default value is insufficient to cover the text length of long coke research reports.
How to Verify Proper Configuration
- Upload a single coke monthly supply and demand report, view the parsed segmentation details, and confirm that the segmentation length matches the expected
chunkSizeconfiguration. - Initiate a question related to coke investment research, check the context recall count in the call logs, and confirm it matches the
similarityTopKconfiguration. - Check the system billing panel, compare token consumption data with the configured context window and recall count, and confirm there is no abnormal excessive consumption.
- Test bulk upload of multiple coke structured reports, confirm that the parsing process has no timeouts, and meets the requirements of the
PARSE_FILE_TIMEOUT_SECONDSsetting.
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.