What the Data for This Category Looks Like
Data sources for refining research reports include public industry databases, detailed research reports released by specialized petroleum and petrochemical consulting firms, and public statistical materials from national energy and industry and information technology departments. There are two update cycles: specialized industry research reports are updated quarterly, and enterprise dynamic research reports are released in real time alongside production adjustments. Each individual document typically contains dozens of pages, with a fixed structure consisting of industry overview, core capacity parameters, raw material and product indicators, market supply and demand analysis, and key policy impacts. Fields include equipment number, processing volume, unit energy consumption, product output ratio, and inventory level. Corresponding units are unit, tons per day, kilograms of standard coal per ton, tons per ton of raw material, and tons.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
Multiple scattered data sources require plugins to configure multi-data source aggregation rules, and clearly define the permissions and update frequency of each data source. The fixed long-document structure and specific fields require the tool calling schema to strictly match refining-specific fields and units, to avoid result deviations caused by generalized matching. Research reports with different update cycles require configured adaptive caching and refresh cycles, to prevent returning outdated capacity or price data. The length of individual documents requires tools to set reasonable segmentation and parsing parameters before calling, to avoid truncating critical equipment operation indicators.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_CHUNK_SIZE | 800–1200 characters | Refining research reports have moderate information density per segment. This length can fully retain core content such as equipment parameters and unit indicators, and avoid truncating critical information |
recallTopK | Top 8 results | Core information of refining research reports is concentrated in the first few recall results. This value can cover valid content for most user queries |
similarityThreshold | 0.72–0.85 | This range can filter non-refining related research reports, while retaining professional content that highly matches the query |
pluginSchemaVersion | v3 | Supports complex nested field structures, and can fully define refining-specific parameter and unit rules |
pluginUpdateCycle | Every 72 hours | Matches the quarterly update cycle of specialized research reports, while meeting the real-time requirements of enterprise dynamic reports |
UPLOAD_FILE_MAX_SIZE | 200 MB | Adapts to the maximum file size limit for individual long refining research reports, to avoid upload failures |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: The tool returns empty or irrelevant results, or prompts "parameter format mismatch". Cause: Core refining-specific fields such as equipment model and processing volume are not extracted from user queries as valid content for calling parameters. Only generalized research report keywords are passed, which does not meet the field requirements of the schema.
- Phenomenon: The edited plugin cannot be re-exported as an OPENAI V3 format schema file. Cause: A backup of the original schema is not retained in the plugin configuration, or the nested structure of the schema is damaged during configuration modifications, leading to export failure.
- Phenomenon: Tool calling times out or returns incomplete results. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not set correctly, or the segmentation length is not adjusted for long documents, leading to parsing interruptions or information loss.
How to Verify Successful Configuration
- Upload a single complete refining research report file, and check whether the parsed segmented content retains complete refining-specific fields such as equipment number and processing volume, along with their corresponding units.
- Initiate a test query, enter a question containing specific refining indicators, and check whether the tool correctly extracts core content from the query as parameters for calling.
- Export the plugin configuration, and verify that the export format conforms to the OPENAI V3 schema specification, and that field and unit definitions match the actual content of refining research reports.
- View the tool calling logs, confirm that the number of returned results matches the
recallTopKconfiguration value, and that there are no abnormal error messages.
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.