What the data for this category looks like
Data for oil and gas exploration and development mainly comes from drilling logs, well logging reports, reservoir simulation files, and on-site construction records. The data covers all operation phases of exploration, development, and operations. Structured data is stored classified by well ID, operation time, and equipment parameters. Unstructured data includes core scan images, well logging curve files, and construction videos. Structured fields include well depth (unit: meters), permeability (unit: millidarcy), and formation pressure (unit: megapascals). Most unstructured file formats are PDF, TIFF, and CSV. The data update cadence adjusts based on the operation phase: routine drilling data is updated daily, and reservoir simulation results are updated irregularly as parameters are iterated.
What constraints these characteristics impose on tool calling and plugins
Structured professional fields and multi-format unstructured files for oil and gas exploration and development create multiple constraints for tool calling and plugin configuration. Professional data units and field names follow petroleum industry standards. Field mapping must be completed in advance when calling tools to avoid parameter mismatches that cause abnormal results. Unstructured well logging images and long-cycle drilling reports have large file sizes. The load per single tool call must be limited to prevent context overflow. Real-time drilling data updates frequently. Plugin call triggers must match the on-site operation response window. Excessive delays will disrupt the continuity of business process guidance.
How to set up the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
toolChoice | auto | Adapt to multi-tool parallel calling exploration and development scenarios, automatically match the tool type of the current operation |
functionCall | enabled | Support function calls for structured professional parameters, complete accurate mapping of oil and gas industry fields |
| Single-round tool call file limit | Top 3 files | Limit the load of unstructured files to prevent single-round context overflow |
| Tool call timeout | 600 seconds | Match the response requirements of long-duration operations such as reservoir simulation and core analysis |
| Field mapping trigger rule | Match by operation type | Adapt to professional field differences across different links such as drilling, well logging, and development |
| Result format verification switch | Enabled | Ensure that returned result fields and units comply with petroleum industry standards |
Three common configuration errors
- Tool calling returns
You need to use the app key rather than the account keyerror. Cause: Did not use application-level keys for tool calling, mistakenly filled account keys into configuration items. - Structured field units returned after tool calling do not match. Cause: Did not configure industry standard field mapping rules, directly used general parameter parsing for professional data.
- Empty results returned after executing text-to-structured query via plugin. Cause: Did not configure query mapping rules for oil and gas industry professional fields, causing query statements to fail to match actual data structures.
How to confirm the configuration is correct
- Enter the application configuration page of FastGPT v4.17.0, check the configuration status of
toolChoiceandfunctionCallto confirm they match the preset values. - Upload a single structured CSV file for oil and gas exploration and development, trigger tool calling, and check whether the returned result fields and units comply with industry standards.
- Simulate a multi-file loading scenario to verify that the single-round call file limit takes effect and avoid context overflow.
- Initiate a tool call using the application-level key to confirm there are no key-related errors.
The values listed above are common starting points and should be evaluated against local operational samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.