What the data for this category looks like
Gas industry research report data mainly comes from China Urban Gas Association monthly monitoring reports, special research reports from securities firms on the public utilities sector, and public data sources from energy consulting agencies. The data update schedule is as follows: monthly operating data is updated monthly, quarterly in-depth research reports are released quarterly, and special interpretation documents are generated within 72 hours after major pipeline network price adjustments or gas source policies are issued. The structure of individual research report documents is fixed, including five core sections: overall industry overview, upstream gas source prices, downstream gas consumption, pipeline network operation data, and policy interpretation. Fields include gas supply volume (unit: ten thousand cubic meters), station gate sales price (unit: yuan/cubic meter), upstream LNG CIF price (unit: US dollars/ton), and monthly gas consumption volume (unit: hundred million cubic meters).
What constraints do these characteristics impose on tool calling and plugins
High-frequency updated monthly data requires tool calling configurations to include a timed refresh mechanism to avoid data lag caused by static caching. Fields have clear unit identifiers, so tool calling must perform binding verification between returned values and units to prevent splicing errors. The fixed document structure allows plugins to preset extraction rules for fixed fields, improving data crawling accuracy. The decentralized nature of data sources requires tool calling to support multi-source aggregation configuration, integrating content from associations, securities firms, and consulting agencies. The timeliness of special interpretation documents requires the tool calling timeout threshold to adapt to short-response interfaces, avoiding excessive delays that affect user experience.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_timeout | 300 seconds | Gas industry research report data sources are mostly public APIs, with response delays typically between 1-2 minutes. An overly short timeout setting will truncate valid data |
max_tool_calls_per_round | 3–5 times | Gas industry research reports require calling more than three data sources including gas source prices, consumption volume, and policies. Excessive calls will increase overall latency |
plugin_data_filter | Retain fields: supply volume, price, policy summary | Core data of gas industry research reports covers supply and demand as well as prices. Filtering redundant fields can improve response efficiency |
context_window_for_tool | 8000–12000 characters | A single in-depth gas industry research report is approximately 5000-8000 characters. Reserve sufficient context for associating research report content during tool calling |
disable_rag_reference | true | The scenario requires only displaying research report Q&A content, without displaying input and output citations from the knowledge base |
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, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: A
500 Internal Server Erroris returned when calling a custom Python code tool, with a prompt indicating function parameter mismatch. Cause: The correct parameter transfer format is not configured in the workflow, and the keywords for research report retrieval are not correctly passed to the Python function. - Phenomenon: A
403 Forbiddenis returned when triggering a workflow via an external interface, with a prompt indicating the API key is invalid. Cause: A globally universal API key is used instead of a dedicated application API key, or the workflow call permission is not configured for the API key. - Phenomenon: Automatic attachment of knowledge base search input and response citation markers in the answer. Cause: The
disable_rag_referenceconfiguration is not enabled in the tool calling node, or the configuration value is set tofalse.
How to confirm the configuration is correct
- Trigger the tool calling node, check if the returned data source fields include industry-specific content such as gas supply volume and price, and verify that the field units match the preset values.
- Call the external interface to trigger the workflow, check if the returned results only include research report Q&A content, with no redundant knowledge base citation markers.
- Simulate a timeout scenario to verify that the tool calling completes the response within the preset timeout period, with no data truncation.
- Check the API key permission configuration, confirm that only access to gas industry research report-related data source interfaces is allowed, with no cross-sector authorization risks.
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.