What the data for this category looks like
The data involved in this category comes from the national pollution discharge permit management information platform, enterprise environmental protection ledgers, online monitoring systems, and environmental statistics systems. Updates occur quarterly. Daily documents include pollution discharge permit application forms, implementation reports, self-monitoring plans, ledger records, change applications, and permit copies. Data fields include permit limits, emission boundaries, monitoring frequencies, ledger reporting cycles, and more. Units include concentration units, emission quantity units, time cycles, and others. Field meanings must be matched in accordance with ecological environment industry specifications.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
Diverse data sources are updated quarterly. Multi-turn dialogue requires associating historical conversations via chatId to avoid misreading expired cross-cycle data. Multiple daily document types exist. Prompt engineering must clearly distinguish field priorities for different documents to prevent confusion between permit limit and ledger record verification logic. Field units vary. Prompt engineering must include unified conversion rules to ensure unit consistency in Q&A results. The most time-consuming verification links require step-by-step guidance. Multi-turn dialogue must split steps such as permit limit verification and ledger review to avoid session timeouts caused by loading too much data at once.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Maximum context length | 800–1200 characters | Matches the average length of a single quarterly updated pollution discharge permit document to avoid context overflow |
| Maximum single match results | Top 5 entries | Corresponds to the number of core document types requiring daily verification, reducing irrelevant information interference |
| Variable binding rule | Bind the enterprise permit number in variables | Quickly locate exclusive pollution discharge permit data for the corresponding enterprise to narrow the search scope |
| Multi-turn session association logic | Associate historical messages via chatId | Retain verification process context in the same scenario to avoid repeated questions |
| Prompt template update frequency | Sync once per quarter | Matches the data update cycle, adapting to the template update logic of FastGPT v4.17.0 |
Three common configuration errors
- Symptom: Session abnormally terminates after sending two messages in multi-turn dialogue, returning a 400 status code. Cause: The session content of the
messagesarray was not correctly concatenated, resulting in non-compliant context format. - Symptom: Markdown syntax tags remain in party building Q&A content received on WeChat. Cause: The prompt engineering did not explicitly require removing WeChat-incompatible format tags, and no content filtering rules were configured.
- Symptom: The model does not trigger multi-turn tool calls after consecutive questions in multi-turn Q&A, only generating results based on the prompt. Cause: The prompt engineering did not explicitly require triggering multi-turn tool calls, and no session persistence logic for
chatIdwas configured.
How to confirm configuration is successful
- View the session logs in FastGPT v4.17.0 to confirm that historical messages associated with
chatIdare not lost and the context is complete. - Send queries for different types of pollution discharge permit documents to confirm that the number of match results conforms to the maximum single match results configuration.
- After triggering an SQL data query, check whether the return result is bound to
variablesto ensure the AI can read and display the data. - Verify that Markdown-formatted replies have no remaining tags on WeChat to confirm that the format filtering configuration is effective.
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.