What the data for this category looks like
Railway operation documents and materials mainly come from daily work ledgers. These include dispatch orders, travel logs, passenger ride notices, freight carriage documents, and more. Data is updated per work shift or daily. Document structures include fixed fields: work order number, work time, line section, train number, processing matters, approver, and others. Units used include kilometers, hours, train numbers, job numbers, and more. Single document lengths typically range from 1000 to 3000 characters. Some batch operation documents are stored in packaged batches.
Constraints imposed on multi-turn dialogue and prompt engineering
Fixed fields in railway operation documents require accurate linking of core parameters such as train numbers and lines during multi-turn dialogue. This prevents generation of non-compliant operation content. Data updates frequently, so dialogue context must properly retain valid historical information to avoid calling outdated work data. Document lengths vary widely, so multi-turn dialogue must adapt to different input and output lengths to avoid exceeding model window limits. Professional fields have uniqueness requirements, so prompt engineering must clearly define verification rules. This ensures generated content complies with railway operation standardization requirements.
Reference only; verify against the target FastGPT release and deployment documentation.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Max Context Size | 8000–12000 characters | The length of a single railway operation document is mostly between 1000 and 3000 characters. Multi-turn dialogue needs to retain 3 to 5 rounds of history to avoid exceeding the model window |
| Single Reply Character Limit | 1500 characters | A single operation document has relatively complete content, and the reply must cover core fields without truncation |
| Variable Binding | Bind train number, line section, operation type | The core fields of railway operation documents are fixed. Binding automatically brings context into multi-turn dialogue |
| Message History Retention | First 10 dialogue messages | Multi-turn scheduling dialogue needs to retain key work node information to avoid repeated confirmation of basic parameters |
| Timeout Setting | 60 seconds | Railway operation document generation needs to call internal ledger data, reserving time for data pulling and model inference |
Three Common Mistakes
- Symptom: The output field after HTTP orchestration is empty in the dialogue interface and cannot be displayed. Cause: No output mapping is configured in
variables, so the orchestration result is not returned synchronously in the dialogue chain. - Symptom: Subsequent questions in consecutive multi-turn dialogue cannot link to previously mentioned core parameters such as train numbers and lines. Cause:
messageshistorical messages are not saved correctly, or the number of retained message history entries is set too low, leading to cleared context. - Symptom: Generated operation documents lack standardized fields, or field formats do not meet railway operation requirements. Cause: The prompt does not clearly specify field verification rules, or variable binding configuration does not correctly link preset fields.
How to confirm correct configuration
- Initiate a query containing preset operation fields, verify that
chatIdis uniformly bound to the current dialogue session. This ensures context is not confused across sessions. - Initiate more than 3 consecutive rounds of dialogue, confirm that subsequent queries can link to previously mentioned work nodes, train numbers, and other information.
- Call the HTTP orchestration interface, confirm that returned results display normally in the dialogue interface with no missing or empty fields.
- Test long text generation scenarios, confirm that reply content fully covers core fields without unexpected truncation.
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.