What the data for this category looks like
Coal transportation and sales policy and regulatory basis data mainly comes from the National Energy Administration, provincial coal industry management departments, transportation authorities, and internal compliance documents of relevant state-owned enterprises. Data updates follow the pace of policy revisions, with no fixed cycle. Core documents are stored in official document format, including fields such as policy document number, issuing authority, effective date, applicable region, and transportation and sales clause terms. Some files include quantitative indicators such as compliant coal transportation tonnage and loading and unloading rate standards. Units include tons, kilometers, percentages, and others.
What constraints these characteristics impose on model access and configuration
Coal transportation and sales policy documents have complex structures, including multi-level clauses and dedicated fields. When accessing the model, key identifiers such as document numbers and effective dates must be retained to avoid loss of core compliance basis in retrieval results. Data updates have no fixed cycle, so a synchronization trigger mechanism matching the source data must be configured to keep the knowledge base content consistent with the latest policies. Some documents include quantitative transportation and sales indicators, so the model must accurately identify and associate corresponding units and numerical values when called. Policies cover multiple transportation and sales links including railways, ports, and pitheads. The retrieval scope must be limited to coal transportation and sales related clauses to avoid interference from irrelevant policy content on answer accuracy.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Config Item | Recommended Value | Basis for This Setting |
|---|---|---|
maxContext | 8000–12000 token | Coal transportation and sales policy documents usually contain multi-clause associated content. Sufficient context ensures the model accurately understands the logical relationship between clauses and avoids truncating key compliance basis. |
maxTokens | 4000 token | Single-round Q&A needs to cover the complete context of policy clauses and user questions. This value balances answer length and response speed, adapting to the complex Q&A scenario of coal transportation and sales policies. |
quoteMaxToken | 2000 token | Policy clauses to be cited are usually single or multiple associated document fragments. This value ensures complete citation of core compliance content to meet audit and compliance display requirements. |
temperature | 0.1–0.3 | Coal transportation and sales policy Q&A needs to strictly match the original text expression. A lower temperature value reduces the randomness of model-generated content, ensuring answer accuracy and compliance. |
toolChoice | auto | The system automatically determines whether to call the retrieval tool based on user questions. The automatic mode balances precise retrieval and response efficiency, adapting to different types of policy consultation needs. |
AIPROXY_API_ENDPOINT | Fill in the official interface address of the corresponding model | This value must match the service path of the accessed model to ensure requests are correctly routed to the target model. |
Three Common Configuration Errors
- A 500 error is returned after calling the model. Investigation finds that
AIPROXY_API_TOKENor the interface address is not configured correctly, causing the request to fail to reach the model service normally. - A 429 exception is returned when concurrent requests exceed the set threshold. No concurrency restriction logic is configured in FastGPT, and the interface concurrency threshold of the cloud service provider is not matched.
- The policy clause document number or effective date is missing in the model's answer. This occurs because the
maxContextvalue is too small, truncating the context fragment containing the key identifier.
How to Confirm the Configuration Is Correct
- Submit a test request containing specific transportation and sales policy questions, and check whether the returned result includes complete policy document numbers and effective dates to confirm that the context configuration meets expectations.
- Simulate multi-round concurrent requests, observe whether abnormal returns occur, and adjust the concurrency restriction configuration to match the threshold of the accessed model.
- Check the knowledge base synchronization log to confirm that the update time of policy data is consistent with the revision time of the source data, verifying that the synchronization logic is normal.
- Test different types of transportation and sales policy questions to confirm that the model only returns coal transportation and sales related policy content without interference from irrelevant field policies.
The values provided are common starting points and should be evaluated 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.