What This Category of Data Looks Like
Policy and regulatory basis documents for oil and gas exploration and development originate primarily from natural resources authorities, industry regulators, internal standards of state-owned oil and petrochemical enterprises, and national standards. Update cycles vary based on regulatory requirements and industry standard iterations. Document structure includes fields such as release number, issuing authority, effective date, applicable exploration and development areas, core clauses, and violation penalty clauses. Terminology includes specialized terms like exploration rights, development permits, drilling permits, and reserve evaluation. Units use standard oil and gas industry units such as cubic meters, kilometers, and tons.
What Constraints Do These Characteristics Impose on the Tool Calling and Plugins Workflow
Oil and gas exploration and development policy documents are lengthy with complex fields. Tool calling must support long-text retrieval and multi-field extraction to avoid context overload. There are many specialized terms with precise semantics. Plugins must be configured with dedicated semantic matching rules to ensure the model accurately links to policy clauses. Policy updates do not follow a fixed schedule. The knowledge base synchronization mechanism must allow flexible adjustment of update frequency. Tool calling must prioritize returning the latest effective policy content.
How to Configure the Settings
The following configurations are optimized for FastGPT v4.17.0, as detailed below:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Tool call timeout | 120–180 seconds | Oil and gas policy documents are lengthy, so retrieval and parsing take longer |
| Number of policy documents retrieved per call | Top 3–5 | Avoid context overload while covering core policy clauses |
toolChoice | auto | Automatically select tool calling strategies suited for policy Q&A |
| Knowledge base sync cycle | Every 7–14 days | Aligns with the irregular update schedule of policies |
| Function call format validation | Enable strict mode | Ensure extracted fields such as policy release numbers and effective dates follow compliant formats |
| Term matching threshold | Calibrate based on actual testing | Match the semantic matching accuracy requirements for oil and gas exploration specialized terms |
Three Common Configuration Errors
- Slow operation timeout errors appear in logs. The cause is an excessively short tool call timeout setting, which does not accommodate the long-text retrieval and parsing process for oil and gas policy documents.
- Tool call return results have low matching accuracy with policy basis. The cause is missing configuration of semantic matching rules for oil and gas specialized terms, which prevents the model from accurately linking to professional clauses.
- Global number-type counters do not automatically increment after AI responses. The cause is the plugin not being configured with a callback trigger condition set to AI response completion, with only a single trigger rule configured.
How to Confirm Configurations Are Correct
- Initiate a query that includes a specific oil and gas exploration policy release number. Check whether the documents returned by tool calling match the query keywords.
- View system synchronization logs to confirm the policy knowledge base completed automatic updates per the set cycle.
- Trigger the tool calling process. Check whether the returned results correctly extract fields such as policy effective dates and applicable areas.
- Configure a test global counter plugin. Verify whether the counter increments as expected after AI responses are completed.
Note: The values listed above are common starting points. Adjust them based on your own specific samples and use cases.
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.