What this category of data looks like
Oil and gas exploration and development policy and regulatory basis data mainly comes from the Ministry of Natural Resources, industry regulatory authorities, and internal compliance documents of affiliated enterprises. Updates are triggered by new policy releases or regulatory revisions. Most documents are structured original policy texts and supporting interpretation files. They include fields such as policy document numbers, issuing authorities, effective dates, applicable exploration block scopes, and compliant operation clauses. Standard official document format numbering, date notation, and regional scope descriptions are used for units.
Constraints imposed on model access and configuration by these characteristics
Most oil and gas exploration and development policy documents are long texts with professional compliance clauses. Model access must support long context processing to avoid truncation of core compliance content. Data updates have no fixed cycle, so a flexible document synchronization mechanism must be configured to ensure the latest policy versions are used for Q&A. Applicable policies vary across different exploration blocks. Configuration must support precise recall based on fields such as region and document number to avoid cross-scenario compliance risks.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Most oil and gas exploration and development policy documents are long texts. Full loading of original policy texts and supporting interpretations is required to cover complete compliance basis |
temperature | 0.1–0.3 | Policy Q&A requires strict and precise wording, to avoid generating vague content that deviates from official clauses |
quoteMaxToken | 2000–3000 token | Complete clauses of original policy documents must be retained as reference basis, to ensure traceability of Q&A content |
AIPROXY_API_ENDPOINT | Official public access address of the corresponding model | Ensures stability and compatibility of the model call link |
AIPROXY_API_TOKEN | Exclusive call key assigned by the platform | Ensures permission security and access legitimacy for model calls |
toolChoice | auto | Automatically determine whether to associate supplementary policy documents based on query requirements, adapting to Q&A logic for different scenarios |
Three common configuration errors
- Issue: After configuring
AIPROXY_API_ENDPOINT, the corresponding model name does not display in the interface, and it cannot be selected for use. Cause: The model name is not correctly bound to the access endpoint, or the endpoint address format does not meet platform verification rules. - Issue: Q&A response content truncates core clauses from the original policy document. Cause: The value of
maxContextorquoteMaxTokenis too small to fully load long document content. - Issue: Generated policy interpretations deviate from official clauses. Cause: The value of
temperatureis too high, causing the model to generate imprecise wording.
How to confirm configurations are correct
- Initiate a single query related to policies, and check whether the returned results include the policy fields and clauses specified in the configuration.
- View model call logs to confirm that the call parameters for
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENmatch the configured values. - Test loading of long-text policy documents to confirm that no content truncation occurs.
- Adjust query keywords to verify whether recall results in different scenarios comply with configured filtering rules such as region and document number.
The values provided are common starting points and should be evaluated against the samples of the respective deployment.
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.