What This Category of Data Entails
State-owned asset management company ledger data is primarily sourced from state-owned asset supervision platforms, property right registration systems, asset disposal archives, and annual budget execution reports. Two update schedules apply:
- Routine asset ledgers are updated monthly
- Major asset changes such as transfers and disposals are synchronized in real time
Individual ledger documents are structured tables containing fields including unique asset ID, book value (unit: ten thousand yuan), usage status, storage location, property right certificate number, and designated management department. Some cross-regional asset ledgers also include a geographic coordinate field.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The large number of structured fields and identifiers such as unique asset IDs and property right certificate numbers require multi-turn dialogue to fully retain session context, to avoid mixing up fields across different assets. The monthly update cycle for routine ledgers requires prompts to explicitly state the current ledger’s statistical cycle, to prevent mixing data from different cycles. Cross-regional assets include geographic location fields, so location context must be added during dialogue to enable the AI to link each asset’s local management information. Real-time updated major asset change data requires multi-turn dialogue prompts to read the latest dataset by default, without using cached old versions.
Configuration Settings
The following configurations were validated using FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context Window | 8000–12000 token | The ledger has many fields and requires retention of multi-turn context such as asset IDs and cycles to avoid context overflow |
messages | Retain the first 20 session histories | The ledger has many fields and requires association of asset identifiers from multi-turn queries to avoid context loss |
variables | Preset current statistical cycle and asset type variables | Meet the monthly ledger update cycle requirements to quickly filter corresponding datasets |
chatId | Bind session-specific identifier | Ensure isolation of ledger query sessions for different users to avoid data confusion |
| Query Optimization | Enabled | Queries for structured ledgers require conversion of natural language to structured filter conditions |
| Single Search Limit | Top 10 matching results | State-owned asset management company ledger entry volume is moderate, top 10 results cover conventional query needs |
| Maximum Response Length | 1500–2000 characters | Ledger summary reports need to clearly display fields without exceeding readable length |
Three Common Configuration Errors
- Issue: The AI-generated summary report incorrectly includes ledger data from the previous cycle. Cause: The prompt does not specify the current statistical cycle preset via
variables, leading to reading datasets from old cycles. - Issue: Multi-turn dialogue cannot accurately retrieve the conversation record ID from the previous AI reply to associate subsequent queries. Cause: The conversation record ID output switch was not enabled in node configuration, or
chatIdwas not correctly referenced to associate session context. - Issue: Non-current users can view other users' ledger query content in shared public applications. Cause:
chatIdwas not bound to implement session data isolation, resulting in unseparated storage of session contexts for different users.
How to Confirm Proper Configuration
- A multi-turn query including an asset ID and statistical cycle is initiated, and the AI’s reply is checked to confirm retention of the asset identifier referenced in the prior round.
- The "Get Conversation Record List" interface is called, the offset parameter is adjusted, and the number of returned historical conversations is verified to match the expected skip rules.
- Two test sessions for distinct users are created, and each chat dialog is verified to only display the corresponding user’s ledger query records.
- A ledger summarization task is triggered, and the generated report is verified to only include asset data within the preset cycle.
The values provided are common starting points and should be measured against the corresponding use cases and 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.