What Data for This Category Looks Like
Urban gas policy and regulatory basis data is primarily sourced from the Ministry of Housing and Urban-Rural Development, local housing and urban-rural development departments, official public channels of urban gas operating entities, and national and local gas industry standard documents. Data updates are dynamically adjusted when official policy documents are released, with no fixed cycle. Documents use a clause-based structure, including fields such as policy name, document number, issuing authority, effective date, scope of application, and core implementation clauses. Field formats are unified, effective dates follow standard date formats, and document numbers adhere to official document specification norms.
What Constraints Do These Characteristics Impose on Model Integration and Configuration
The characteristics of urban gas policy data impose multiple constraints on model integration and configuration. Policy documents vary widely in length, from hundreds-word notices to thousands-word industry standards. Model integration must adapt to different context input lengths to avoid exceeding the model's context window. Policy data has strict field format requirements. The model must accurately identify key fields such as document number, effective date, and applicable region to avoid generating incorrect policy citations. Data updates have no fixed cycle. Configurations must reserve a flexible knowledge base synchronization entry to adapt to dynamically updated policy documents. Policy scope of application varies by region. Configurations must support filtering recalled policy content by region to ensure Q&A results meet local requirements.
How to Configure the Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Individual urban gas policy documents can be up to thousands of tokens long. This range covers the full content of most single policy documents to avoid truncating key clauses |
maxTokens | 2000–3000 token | Policy Q&A requires generating detailed clause citations and explanations. This range ensures the response content is complete and meets output length requirements |
quoteMaxToken | 1500 token | Policy original text snippets must be cited in responses. This value retains sufficient original context to ensure the semantic integrity of cited content |
temperature | 0.1–0.3 | Policy Q&A must strictly follow original text content. Lower temperature values reduce the model generating irrelevant or off-topic content to ensure response accuracy |
AIPROXY_API_ENDPOINT | Enter the deployed official OneAPI API address | Adapt to multi-model call requirements and uniformly manage model resources required for urban gas policy Q&A |
AIPROXY_API_TOKEN | Enter the valid token key generated by OneAPI | Used for identity verification to ensure the legality of model calls |
Three Common Misconfigurations
- Phenomenon: The interface displays "No available model" or a null value error occurs during calls. Cause:
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENare not configured correctly, or the token key is entered incorrectly leading to identity verification failure. - Phenomenon: The model-generated response deviates from the core clauses of the policy original text. Cause: The
temperaturevalue is too high, causing the model to generate excessive free-form content that does not strictly follow the policy original text. - Phenomenon: The policy snippets cited in the response are incomplete. Cause: The
quoteMaxTokenvalue is too small, truncating key content from the policy original text and leading to incomplete cited semantics.
How to Confirm the Configuration Is Successful
- Access the model configuration page of FastGPT v4.17.0, check the entered content of
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENto confirm they match the deployed OneAPI information. - Enter a test question related to urban gas policies to trigger a model call, and verify whether the returned results include correct fields such as policy document numbers and effective dates.
- Upload a test urban gas policy document to trigger knowledge base recall, and confirm that the number and content of recalled documents meet expectations.
- Adjust the
temperaturevalue to 0.2, and test whether the generated response strictly follows the policy original text with no obvious off-topic content.
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.