What this category of data looks like
Policy and regulatory basis data for power generation groups mainly originates from internal official red-headed documents, policy notices from superior energy regulatory authorities, and group regulatory compendiums. Data synchronization is completed within 1 to 3 days after a superior policy is released. Internal regulatory revisions are updated in real time. Document structure includes document number, issuing department, effective date, chapter and clause sections, and other elements. Fields include policy ID, issuing entity, applicable scope, and original clause text. Chapter numbers use the format of Arabic numerals plus decimal points. Effective dates use the YYYY-MM-DD standard format. Single document length varies widely. Some compendium-style documents can reach hundreds of thousands of total words.
What constraints these characteristics impose on model integration and configuration
The long text nature of power generation group policy data requires model integration and configuration to support large context windows. This prevents critical policy clauses from being truncated. The high timeliness of the data requires setting a reasonable data source synchronization cycle in the configuration. This ensures the latest policies are indexed in a timely manner. The structured field design requires the model to accurately extract metadata such as policy document numbers and effective dates for reference verification during calls. It also requires limiting the randomness of model-generated content to avoid deviating from compliant policy basis. Policies of power generation groups involve safety and compliance requirements, which set high standards for model output accuracy. The value range of generation parameters must be strictly controlled.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000–16000 token | Adapts to the long text characteristics of power generation group policy documents, avoiding truncation of complete policy clauses |
temperature | 0.1–0.3 | Policy Q&A requires rigor and compliance, reducing the randomness of model-generated content |
quoteMaxToken | 2000–3000 characters | Ensures that policy original text can be fully referenced in returned results, meeting compliance verification requirements |
maxTokens | 4000–6000 token | Covers the complete logic of policy answers, avoiding mid-generation truncation of content |
toolChoice | auto | Allows the model to independently determine whether to call the document retrieval tool, matching accurate policy basis |
AIPROXY_API_ENDPOINT | Fill in the exclusive proxy address deployed | Complies with group data security specifications, ensuring compliance of the model call link |
Reference only; verify against the target FastGPT release and deployment documentation.
Three Common Configuration Mistakes
- The symptom is incomplete policy reference content returned after model calls, with some clauses truncated. The cause is incorrect configuration of the
quoteMaxTokenparameter, leading the system to automatically truncate overly long policy original text. - The symptom is continuous growth in video memory usage after rerank model calls, eventually triggering an out-of-memory error. The cause is failure to set a reasonable upper limit for
maxContext, causing excessive video memory resource consumption during long text processing. - The symptom is failure to initiate normal model calls after configuration, with the OneAPI page showing no available channels. The cause is incorrect filling of the
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENparameters, or key permissions that do not meet group security requirements.
How to Confirm Successful Configuration
- Manually enter a query targeting internal group policies, and check whether the returned results include complete policy document numbers and effective dates.
- View the model call log to confirm that the parameter values of
maxContext,quoteMaxToken, andtemperaturematch the configured values. - Test initiating more than 10 consecutive queries, and observe whether system video memory usage remains stable without continuous growth.
- Verify that the data source synchronization task automatically executes according to the configured cycle, and check whether the latest released policy documents have been successfully indexed.
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.