What the data for this category looks like
Account issue-related data primarily comes from core account business systems, transaction ledger databases, and user historical support ticket libraries. Data updates occur in real time when users perform operations, or are pulled in hourly batches to fetch the latest transaction and account statuses. Most data uses structured fields, including user unique identifiers, account numbers, transaction timestamps, operation types, balance change values, current account balances, and other fields. The unit for balance is yuan. Transaction serial numbers are fixed-length strings, while user inquiry content consists of unstructured text fragments.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The high proportion of structured fields requires prompts to explicitly specify which standardized fields to extract, avoiding unstructured, vague responses. The real-time updated data attribute requires multi-turn dialogue contexts to retain the latest account balances and transaction record snapshots, preventing the use of expired business data. The multi-field association feature requires guiding users to provide complete parameters in sequence during multi-turn interactions—for example, confirming the account number first before verifying transaction times—to avoid query failures caused by missing parameters. The existence of historical ticket libraries requires linking processing templates for similar issues in prompt configurations to improve response consistency.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Account issues require retaining key information such as account numbers and transaction records from multi-turn interactions, preventing data loss caused by context overflow |
recallTopK | Top 6–8 entries | Precisely recall similar account tickets and transaction data. Excessive entries will interfere with valid information in the dialogue context |
similarityThreshold | 0.75–0.85 | Filter low-match historical data to ensure recalled account information is highly relevant to user inquiries |
maxHistoryTurns | 10–15 turns | Cover the dialogue history required for account verification and issue tracing, avoiding context breaks caused by insufficient historical turns |
streamOutput | Enabled | Meet user demand for real-time access to responses and align with the smooth experience of customer service interactions |
The parameter values provided on this page are common recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: The workflow terminates after reaching the AI dialogue node, and the issue can be reproduced with specific account problems. Cause: No reasonable
maxContextvalue is configured, and the context window cannot accommodate associated transaction records and historical verification information, triggering workflow interruption. - Phenomenon: The account balance returned by the dialogue does not match the user's actual status. Cause: Real-time data synchronization configuration is not enabled, and expired account snapshot data is called, causing the response to not match the current business status.
- Phenomenon: No streaming content is returned when calling the dialogue API interface, and the frontend shows no response. Cause: The
streamOutputconfiguration item is not enabled, or the streaming response receiving logic is not properly configured, making it impossible to return response content in segments.
How to confirm the configuration is correct
- Initiate a test inquiry that includes an account number and transaction time, verify that the dialogue context contains complete historical interaction information, and confirm that the configuration covers the required number of dialogue turns and character volume.
- Call the test interface to query known account transaction records, verify the number of recalled results and matching degrees, and confirm that the recall rules configured meet business requirements.
- Initiate a test inquiry for long-text responses, observe whether content is returned in segmented streaming format, and confirm that the streaming output configuration has been correctly enabled.
- Check the dialogue log retention status, verify that logs fully record the entire interaction process for account issues, and confirm that the log retention rules meet business requirements.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.