What this category of data looks like
Data for refining and chemical production policy and regulatory basis Q&A comes primarily from official documents released by the National Energy Administration, the State-owned Assets Supervision and Administration Commission of the State Council, and the China Petroleum and Chemical Industry Federation, as well as internal compliance management documents of refining and chemical enterprises. Updates are triggered by policy revisions; internal documents are updated annually or when major compliance adjustments occur. Most documents are structured long texts, containing fields such as document number, issuing authority, effective date, clause number, applicable scenario, and penalties. Clauses are organized by "Article X", effective dates use the YYYY-MM-DD format, and some cross-regional policies include local implementation rules.
What constraints do these characteristics impose on the model access and configuration link
Single refining policy documents can reach thousands of characters in length, and include multi-dimensional compliance fields. Model access must support long context and precise field matching. Data updates occur infrequently but require timely synchronization, so configuration must support on-demand data source refresh. Policy content covers rigid requirements such as production safety and environmental emissions, so responses must strictly align with original text, with no overly divergent generated content. Some policy documents include local implementation rules, so multi-document associated recall must be supported, which creates additional constraints for context window and recall logic.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000-12000 token | Adapt to the length of single refining policy documents, accommodate multiple associated policy texts and internal enterprise compliance documents |
maxTokens | 2000-3000 token | Ensure the response length for compliance Q&A covers complete clause explanations while avoiding redundant generation |
quoteMaxToken | 1500-2000 token | Limit the token proportion of a single quoted document, ensuring the context window can hold multiple policy citations |
temperature | 0.1-0.3 | Align with the rigor of policy original texts, reduce randomness of generated content, avoid deviation from official clauses |
AIPROXY_API_ENDPOINT | Fill in according to deployment environment | Adapt to local or cloud deployment API addresses, ensure normal model call link |
AIPROXY_API_TOKEN | Fill in according to the key provided by the service provider | Complete identity verification for model calls, ensure valid access permissions |
Three common configuration mistakes
- After uploading refining policy documents, parsing timeout occurs, with 504 status code. The cause is failure to adjust
maxContextto fit long documents, as the default context window is insufficient to hold the full text of a single policy document. - Compliance Q&A results deviate from policy original texts, with inaccurate clause citations. The cause is an excessively high
temperaturevalue, leading to random divergence in generated content that fails to align with official wording. - When deploying the Qwen14B 32K model locally, file upload fails after document submission, and restarting the server has no effect. The cause is incorrect
AIPROXY_API_ENDPOINTconfiguration, or expired and unupdatedAIPROXY_API_TOKEN, leading to interruption of the model call link.
How to confirm successful configuration
Upload a single compliance policy document for the refining and chemical industry, and check if the system’s recalled reference fragments include the correct document number, issuing authority and clause content. Initiate a compliance Q&A involving specific clauses, and verify that returned results accurately match the policy original text with no additional divergent content. Upload updated internal enterprise compliance documents, and confirm that after the data source is refreshed, new content can be normally recalled and cited. Check system logs to confirm that there are no errors in AIPROXY_API_ENDPOINT and AIPROXY_API_TOKEN configurations, and that the model call link operates normally.
The values provided are common starting points and should be measured against the reader's own 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.