What the data for this use case looks like
The data for new hire onboarding scenarios is primarily sourced from enterprise HR management systems, official onboarding manuals, department job responsibility documents, and office system permission lists. The data update schedule has two phases: HR teams complete bulk imports 1 to 3 days before onboarding, and department heads add personalized job information within 7 days following onboarding. Document structures follow a fixed format split into four modules: onboarding processes, department information, permission applications, and tool usage. Fields include employee ID, department name, job title, onboarding date, and exclusive permission scope. Units are based on items, individual counts, and days.
Constraints imposed on multi-turn dialogue and prompt engineering
Scattered data sources and staged updates require multi-turn dialogue systems to automatically aggregate information across sources to eliminate information gaps. The modular document structure requires prompts to trigger content from the relevant module based on the user’s question scenario, preventing cross-module information confusion. Exclusive fields require the system to bind personalized variables to deliver one-person-one-policy responses. Varied update frequencies require prompts to support dynamic variable refreshing, ensuring employees always access the latest information. Additionally, employee consultation rounds typically fall within the 3 days before onboarding and 7 days after onboarding, so conversation context must cover the full consultation cycle without requiring employees to restate basic information.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
variables | Bind employee ID, department name, job title | Match the exclusive onboarding information of new hires to achieve personalized and accurate responses |
messages | Retain the last 10 rounds of conversation context | Cover the complete process from onboarding consultation to permission application, avoiding repeated questions about basic information |
| Conversation history retention period | 30 days | Match the 30-day service cycle for employees of Chinese public sector and state-owned enterprise entities after onboarding, meeting full-process consultation needs |
| Context window upper limit | 8000 token | Adapt to the total length of onboarding manuals and department documents, avoiding truncation of key information |
chatId | Generate a unique identifier based on employee ID | Ensure that each new hire's conversation records are independent, avoiding data mixing |
Reference only; verify against the target FastGPT release and deployment documentation.
Three Common Misconfigurations
- Phenomenon: An error is reported in the system after clicking the clear conversation record button, with the copy reading "No permission to operate this conversation record". Cause: A unique
chatIdis not generated based on employee ID, causing the system to fail to locate the storage entry of the corresponding conversation. - Phenomenon: An empty data set is returned when trying to retrieve historical conversation records. Cause: No context persistence storage rule for
messagesis configured, causing conversation data to not be archived in accordance with specifications. - Phenomenon: An unauthorized document reference prompt is attached to the end of the intelligent reply. Cause: Sensitive permission fields are not filtered in
variables, causing the system to crawl unauthorized internal document content.
How to Verify Successful Configuration
- Initiate a new hire onboarding consultation conversation, enter basic identity-related questions, and verify that the bound
variablesfield information is automatically included in the reply. - Conduct a multi-turn conversation, ask about onboarding processes, department workstations, and tool applications in sequence, and verify that the
messagescontext retains key information from prior questions without requiring repeated identity clarification. - Attempt to clear the current conversation record, and verify that the system completes the deletion operation normally without permission errors.
- Review the conversation history list, confirm that each employee's conversation records are differentiated by a unique
chatId, with no data mixing.
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.