What Data for This Category Looks Like
Oil and gas extraction research report data comes primarily from public research reports published by professional consulting institutions in the petroleum and petrochemical industry, quarterly exploration and production disclosure documents from oil and gas extraction enterprises, and extraction permit and production capacity data released by industry regulatory agencies. Data updates occur irregularly alongside exploration progress, quarterly financial report releases, and adjustments to industry policies. Document structures include modules such as block location, single well production capacity, extraction costs, reserve estimates, associated oil price trends, and policy impact analysis. Fields and units include single well daily production (cubic meters per day), single well depth (meters), unit extraction cost (US dollars per barrel), recoverable reserves (billion cubic feet), and others.
Constraints on Tool Calling and Plugins
The multi-source dispersed sources, complex document structures, and specialized field units of oil and gas extraction research reports impose three core constraints on tool calling and plugins. First, research reports from different sources correspond to different API interfaces or file formats. Plugins must support multiple authentication methods and multi-format parsing to adapt to dispersed data sources. Second, documents contain multiple specialized fields such as blocks, production capacity, and costs. Tool calling must support specified field extraction to avoid irrelevant content mixing into retrieval results and improve accuracy. Third, data updates follow no fixed schedule. Plugins must support on-demand pulling or scheduled synchronization configurations to ensure the timeliness of retrieved data. Additionally, unit differences across different sources require plugins to include built-in unit mapping rules to unify the field formats of retrieval results.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
HTTP_PLUGIN_TIMEOUT | 300 seconds | Oil and gas research report-related APIs typically include multiple sets of specialized data. 300 seconds covers the response duration of most interfaces |
RECALL_FIELD_LIST | Single Well Daily Output, Unit Mining Cost, Recoverable Reserves | Core retrieval requirements for oil and gas extraction research reports focus on production capacity, cost, and reserve data. Limiting fields improves retrieval accuracy |
PARSE_FILE_MAX_SIZE | 500 MB | Single PDF or DOCX files of oil and gas research reports typically include large numbers of charts and data tables. 500 MB covers the size of most large research reports |
PLUGIN_SYNC_CRON | 0 0 2 * * * | Quarterly disclosure data from oil and gas enterprises typically updates overnight. Synchronizing at 2 AM daily ensures the timeliness of retrieved data |
SIMILARITY_THRESHOLD | 0.75–0.85 | Terminology in the oil and gas industry is highly specialized. A higher similarity threshold filters irrelevant general research report content |
RECALL_TOP_N | Top 3 entries | Oil and gas research reports have large data volumes per document. Excessive recall results in context overflow. Top 3 entries cover core retrieval requirements |
The parameter values provided on this page are all conventional recommendations used as a starting point 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 Mistakes
- Issue: An error indicating interface authentication failure is prompted when configuring the HTTP plugin, and research report data cannot be pulled. Cause: Professional oil and gas industry research report APIs typically require dedicated API keys or custom request headers. Failure to configure corresponding parameters according to the interface documentation will cause authentication failure.
- Issue: The results of application calls are directly output to the conversation interface, and are not used as context materials for the large model. Cause: The FastGPT "Only use tool call results as context" configuration item is not enabled, or the tool return result is not bound to a context variable in the workflow.
- Issue: Internal tool call and workflow execution logs cannot be viewed in the conversation details. Cause: The global "Record tool call details" switch is not enabled, or the workflow does not have log tracking function enabled.
How to Verify Successful Configuration
- Manually trigger an HTTP plugin pull test, check if the returned research report data includes the preset core fields, and whether the field units are unified.
- Submit a retrieval request containing oil and gas extraction specialized terminology, check if the number of recalled results matches the configured
RECALL_TOP_Nvalue. - Enable conversation log tracking, submit a complete retrieval process, check if detailed records of tool calls and workflow executions appear in the conversation details.
- Configure a scheduled synchronization task, wait for the preset synchronization time to arrive, check if the research report data in the knowledge base has completed updating.
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.