Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Document data for rail transit equipment mainly comes from project design output documents, production process specifications, procurement framework agreements, monthly maintenance records, and industry compliance documents. Each production batch triggers an update to its data, and the full set of associated documents is synchronized after the new batch is delivered. Documents include structured fields and unstructured descriptions. Structured fields include equipment model, track gauge, rated load, and production batch number. Units uniformly use industry standard units such as millimeters, kilonewtons, and days. Individual document lengths vary widely, ranging from process cards with hundreds of characters to compliance review reports with tens of thousands of characters.
Constraints imposed by these characteristics on model access and configuration
Rail transit equipment documents mix structured fields and long documents. Data updates incrementally per production batch. Model access must adapt to context inputs of different lengths to avoid content truncation. Structured fields with industry standard units require the model to accurately identify and match unit parameters, to avoid generating incorrect technical values. The incremental update rhythm of multi-batch data requires configuration to support knowledge base incremental synchronization, reducing resource consumption from initial full loading. Long documents require the configuration’s context window to adapt to long text processing, while ensuring accurate extraction of structured fields to meet compliance review rigor requirements.
Configuration settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–16000 token | Individual rail transit equipment documents can be up to tens of thousands of characters long. This setting adapts to long context processing to avoid truncation of critical technical information |
maxTokens | 2000–4000 token | Document drafting needs to cover complete technical parameters and compliance descriptions, while avoiding excessive single output that causes interface timeouts |
quoteMaxToken | 4000 token | Structured fields and compliance document fragments must be prioritized for reference to ensure technical accuracy and compliance of generated content |
temperature | 0.2–0.4 | Rail transit equipment documents require rigor and accuracy. A high randomness parameter should be avoided to prevent errors in technical parameters |
AIPROXY_API_ENDPOINT | Fill in the proxy address deployed within the enterprise | Ensures data transmission security and complies with industry data compliance requirements |
AIPROXY_API_TOKEN | Fill in the exclusive key assigned by the enterprise | Implements identity verification for interface calls, preventing unauthorized access and data leaks |
Three common configuration errors
- The symptom is that model calls return "Model stream response is empty, please check if the model stream output is normal". The cause is that the
maxContextconfiguration value exceeds the maximum context window supported by the model, preventing the model from loading long document input data. - The symptom is that all content is visible on the knowledge base page, but the model prompts that the knowledge base is empty during conversations. The cause is that the incremental synchronization configuration is not correctly associated with the migrated knowledge base path, so corresponding data cannot be matched during retrieval.
- The symptom is that a 400 status code is returned when calling the MCP tool, but the model functions normally without tool calls. The cause is that the
toolChoiceconfiguration is forcibly set to a fixed call mode, and no adapted tool parameters exist for the current scenario, preventing the model from generating valid call requests.
How to confirm the configuration is correctly set
- Initiate a single long document drafting test, verify that the generated content includes complete structured fields and compliance descriptions, and confirm that the context configuration adapts to the current document length.
- Trigger an incremental synchronization operation, verify that the knowledge base update log only synchronizes newly added batch data, and confirm that the synchronization configuration meets the data update rhythm requirements.
- Initiate a test request using the MCP tool, verify that the returned result includes correct tool call parameters, and confirm that the tool configuration adapts to the current scenario.
- Check the interface call log to confirm that the proxy address and key configuration are correct, with no identity verification or address errors.
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.