Form and Interaction for In-Client Natural Language Search

What This Category of Data Looks Like

Data sources include user input text for natural language search triggered in the client, and associated business system fields such as customer identity ID and business document number. Data updates in real time and is generated immediately as users interact. The document structure uses structured interaction logs. Logs contain fields such as trigger entry identifier, user search text, associated business context, and unique session identifier. Field specifications:

trigger_source: String type, identifies the client module where the function entry is located
user_query: Text type, natural language search content entered by the user
business_context: JSON format, bound associated business data
session_id: String type, session tracking identifier

No mandatory fixed units apply. Some business fields follow format rules defined by their corresponding business scenarios.

Constraints for Form and Interaction

Since data is generated and updated in real time alongside user interactions, the form and interaction link must support real-time pulling of associated business context. This stops users from re-entering existing business information. Since logs include the trigger entry identifier field, interaction forms must bind the unique identifier of the corresponding client module. This ensures search requests carry correct entry parameters. Since associated business context uses JSON format, the interaction link must validate the format of input business fields. This ensures compliance with system parsing rules. Since user input is natural language text, interaction forms must support auxiliary functions such as text completion and format verification. This reduces the error rate of search input.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`TRIGGER_SOURCE_WHITELIST`	`["agent_terminal", "wealth_app"]`	Matches the identifier field of in-client function entries, filters invalid trigger requests, and adapts to permission control rules for financial scenarios
`MAX_USER_QUERY_LENGTH`	`800–1200 characters`	Adapts to the typical length of user-entered business descriptions and product inquiries in financial scenarios, prevents overlong text from triggering parsing restrictions
`RECALL_SIMILARITY_THRESHOLD`	`0.75–0.85`	Matches the accuracy requirements for search results in financial scenarios, filters low-match irrelevant knowledge base content
`BIZ_CONTEXT_PULL_TIMEOUT`	`30 seconds`	Meets the requirement for real-time pulling of associated business data, avoids excessive waiting during client interactions
`UPLOAD_BIZ_FIELD_MAX_SIZE`	`200 KB`	Adapts to the typical size of associated business fields, prevents transmission or parsing failures caused by overly large data
`AUTO_GENERATE_SESSION_ID`	`Enabled`	Automatically generates a unique session identifier, ensures accurate tracking of in-client interaction sessions, and avoids data confusion across sessions

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Issue: A 400 Bad Request response is returned after submitting a search request, with the prompt invalid trigger source. Cause: TRIGGER_SOURCE_WHITELIST is not configured, or the submitted trigger identifier is not within the whitelist range.
Issue: Search results do not include associated business context data, and user-entered business information is not recognized by the system. Cause: The associated business fields of the client entry are not correctly bound, or the business context format does not comply with JSON verification rules.
Issue: Search results are inconsistent across multiple interactions within a session, or session data is cross-contaminated. Cause: AUTO_GENERATE_SESSION_ID is not enabled, or manually configured session identifiers are duplicated.

How to Verify Successful Configuration

Trigger a search from the corresponding function entry in the client. Check whether the request log carries the correct trigger_source parameter, and verify that the parameter matches the configuration in TRIGGER_SOURCE_WHITELIST.
Enter natural language search text of different lengths. Confirm that the system does not trigger an input length exceeds limit prompt, and verify that the text length falls within the MAX_USER_QUERY_LENGTH configuration range.
Bind test business context data, submit a search request, and check whether the context field returned by the system is complete. Confirm that the format complies with system parsing requirements.
Initiate multiple consecutive search requests. Check whether the session_id of each request is unique, and confirm that the session identifier generation logic matches the configuration.

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.