What this category of data entails
Non-ferrous metal smelting policy and regulatory basis data is primarily sourced from publicly available normative documents released by the Ministry of Industry and Information Technology, the Ministry of Ecology and Environment, and local industry and information departments, as well as industry association standards. Data updates follow two schedules: regular quarterly updates and immediate pushes for sudden policy changes. Document structure includes policy document numbers, issuing authorities, effective dates, applicable smelting stages (ore dressing, smelting, electrolysis, etc.), restrictive indicators, and penalty clauses. Core fields cover policy application scope, energy consumption limit values, pollutant discharge permit requirements. Most units follow production-related measurement standards such as tons, kilowatt-hours, and cubic meters.
Constraints imposed on model access and configuration
Non-ferrous metal smelting policy documents have two key characteristics: multi-stage segmentation and indicators with specialized units. This requires model access to support long text segmentation and unit recognition. Multi-stage policy clauses must be accurately matched to specific smelting scenarios including ore dressing, smelting, and electrolysis, which imposes requirements on context retrieval accuracy. Immediate policy updates require configurations to support quick access to new data sources. Variations in penalties and restrictive indicators across policies require the model to strictly distinguish applicable scenarios when generating responses, preventing incorrect cross-stage application of clauses. Policy document numbers and effective date fields must also be accurately identified to ensure compliant citations.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Single policy documents for non-ferrous metal smelting are typically several thousand characters long. This range accommodates multiple policy contexts to cover retrieval needs across all stages including ore dressing and smelting |
maxTokens | 4000–6000 token | Responses must fully output policy clause citations and compliance explanations, avoiding truncation of key restrictive content |
quoteMaxToken | 1500–2000 token | Full citation of original policy fragments is required to ensure accuracy and readability of referenced content |
temperature | 0.1–0.3 | Policy Q&A requires strict rigor, avoiding subjective interpretations that deviate from original documents |
toolChoice | auto | Automatically trigger retrieval tools based on user questions, no manual configuration of call logic required |
AIPROXY_API_TOKEN | Fill in the authentication key assigned by the platform | Ensure identity legitimacy for model access, preventing unauthorized requests |
Three common configuration errors
- Issue: The OneAPI channel list is empty, and no large models can be selected for access. Cause: The
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENparameters are not filled correctly, or the proxy service is not properly connected. - Issue: After restarting the model, video memory usage remains occupied and is not automatically released when the task ends, eventually triggering an out-of-memory error. Cause: No video memory automatic recycling rule is configured, or the video memory usage limit for single tasks is not set.
- Issue: The text content extraction node in the workflow cannot select available models. Cause: Access verification for the corresponding large model has not been completed in the global configuration, or the selected model does not support the text extraction function type.
How to verify successful configuration
Reference only; verify against the target FastGPT release and deployment documentation.
- Navigate to the OneAPI channel management page, confirm that the added model list includes the target large model for access, and verify that the
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENparameters match the configured values. - Submit a test question by entering "What are the energy consumption limit policies for non-ferrous metal smelting", confirm that the response includes original policy citations and restrictive content for the corresponding stage, with no truncation or incorrect interpretation.
- View the system monitoring panel, confirm that video memory usage for model calls returns to baseline levels after the task ends, with no persistent abnormal occupation.
- Check the model selection dropdown menu in the workflow node, confirm that all accessed large models are displayed in the optional list, with no missing items or error prompts.
The values provided here 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.