What This Category of Data Looks Like
This category of data is sourced from public service guidelines, official policy documents, window service reply archives, and fee standard documents from government-facing and state-owned enterprise communication platforms. Data updates are synchronized irregularly alongside policy adjustments, while window service data is updated in real time. A single document typically includes fields such as policy document number, application requirements, mandatory materials, processing time limit, and consultation channels. Material lists are measured in copies, processing time limits in working days, and fee standards in yuan per month.
Constraints for Multi-turn Dialogue and Prompt Engineering
This category of data includes two types: official policy documents and real-time window replies. The context of multi-turn dialogue is stored in the messages array. Context priority must be clearly defined to avoid confusion between expired policies and real-time consultation content. Fields include multiple unit types, so prompt engineering must uniformly extract unit expressions for corresponding fields to prevent unit inconsistencies in replies. Data updates occur irregularly, so the knowledge base must be synchronized on a regular basis, and expired content must be filtered from multi-turn dialogue context. Business processing data must be bound to the business type and region queried by the user. Multi-turn dialogue must pass historical parameters through variables to avoid repeated requests for basic user information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Max Context Length | 8000–12000 characters | Adapts to the typical length of government and state-owned enterprise service documents, avoiding truncation of key fields such as policy document numbers and material lists |
| Number of Historical Messages to Retain | First 6 turns | Matches the typical interaction rounds of government and state-owned enterprise service consultations, reducing interference from redundant context on retrieval |
variables Binding Parameters | Business Type, Processing Region | Corresponds to the core query dimensions of government and state-owned enterprise services, enabling accurate matching of classified data in the knowledge base |
| Question Optimization Switch | Enabled | Automatically completes the business type dimension for vague service consultations, improving retrieval matching accuracy |
| Maximum Tokens per Reply | 1500 tokens | Adapts to complete information output for government and state-owned enterprise service replies, avoiding truncation of content such as processing procedures and fee standards |
chatId Persistence Setting | Enabled | Retains user dialogue context, avoiding repeated requests for confirmed basic user information |
Reference only; verify against the target FastGPT release and deployment documentation.
Three Common Misconfiguration Scenarios
- Phenomenon: When calling the API to initiate a conversation, questions sent within a short interval will cause the later request to wait for the previous request to finish. Cause: Session isolation for
chatIdis not properly configured, and multiple requests reuse the same session context, leading to queuing and blocking. - Phenomenon: A 503 error appears when uploading files via the dialogue window, but uploading to the knowledge base works without issues. Cause: Exclusive storage path permissions for file uploads are not configured, and batch uploads of government and state-owned enterprise documents do not adhere to large file chunk upload rules.
- Phenomenon: When using a strict question-and-answer template, retrieving an image address field from the knowledge base results in a "no answer found" prompt. Cause: No adaptation rule for image addresses is configured in the prompt engineering, only text content is matched, and image-based business guidance links are not recognized.
How to Verify Proper Configuration
- Initiate two or more rounds of service consultation dialogue, confirm that historical parameters are automatically reused, and there is no need to repeatedly ask for business type and processing region.
- Upload a single long government and state-owned enterprise service document, confirm that the dialogue context fully displays the document's key fields with no truncation.
- Send a vague service consultation, confirm that the business type dimension is automatically completed to improve query matching accuracy.
- Initiate two conversations for different businesses, confirm that the context of the two sessions does not interfere with each other, and
chatIdisolation is active.
The values provided here are common starting points and should be evaluated 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.