What This Category of Data Looks Like
Air pollution control financing daily report data mainly comes from ecological environment department project approval announcements, green credit disclosures from policy banks and commercial banks, and third-party environmental industry information platforms. The data updates daily per natural day. Each daily report document has a fixed structure, including fields such as project name, affiliated administrative region, total investment amount, financing subject, fund provider, governance sub-category, and approval progress. Amount fields use ten thousand yuan as the unit. Region fields are precise to the district and county level. Governance sub-categories include dust control, flue gas desulfurization, solid waste disposal, and other categories.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The daily update property requires multi-turn dialogue contexts to retain date timeliness tags for that day’s data, to avoid calling expired information. The fields include professional sub-categories and amount units. Prompts must clearly specify the priority of extracted fields. For example, prioritize returning governance sub-categories and corresponding financing amounts, while standardizing the expression rules for amount units. The multi-dimensional classification of administrative regions and governance types requires multi-turn dialogue to gradually guide users to clarify query dimensions, to avoid result deviations from fuzzy matching. The professional nature of data sources requires prompts to limit use solely to the built-in air pollution control financing daily report data source, without calling external general information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
systemPrompt | Answer solely based on the built-in air pollution control financing daily report data source, prioritize extracting the fields of project name, affiliated region, financing amount, and governance sub-category, standardize the amount unit to ten thousand yuan, and retain date timeliness in multi-turn dialogue context | Daily report data contains professional sub-fields, so data source and extraction rules must be limited to avoid interference from general information |
maxContext | 10000-15000 characters | A single air pollution control financing daily report document is several thousand characters long, and multi-turn dialogue needs to retain the context of the most recent 3 rounds |
recallTopK | Top 6-8 entries | The number of daily air pollution control financing projects is moderate. Too many recalled entries will cause context redundancy, while too few will miss valid information |
similarityThreshold | 0.75-0.85 | Filter financing projects unrelated to the air pollution control theme to ensure the relevance of recalled results |
chatId | Enable and pass a unique conversation identifier | FastGPT V4.8.22 and above versions require chatId to track conversation context, ensuring consistency of multi-turn dialogue |
maxTokens | 4096 tokens | Control the total output and context token count per round of dialogue to avoid exceeding model limits |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: In the open-source version of FastGPT V4.8.22, the prompt template cannot be customized in the AI configuration interface, only simple parameters can be adjusted. Cause: The advanced configuration module of this version does not include the custom prompt template function, and an upgrade to V4.9.0 or above is required.
- Phenomenon: When the chatId parameter is passed during API calls, the identifier is not displayed in the conversation log. Cause: The logging module of V4.8.22 version does not record the chatId field by default, and manual enabling of the parameter tracking configuration for logs is required.
- Phenomenon: The form node embedded in the conversation interface is displayed as raw HTML code and not rendered as a formatted interface. Cause: The form rendering configuration for the conversation interface is not enabled, and raw code content is output by default.
How to Confirm Configuration is Complete
- Enter the AI configuration interface, check if the
systemPromptmatches the preset content, and confirm that the custom prompt has taken effect. - Initiate a multi-turn dialogue: first query air pollution control financing projects in a specific region, then follow up to ask for the financing amount of the corresponding project, confirm that the context is retained and the results are correct.
- Call the API with the chatId parameter, check if the background log contains a record of this parameter. The parameter tracking configuration for logs must be enabled in advance.
- Adjust the
similarityThresholdto 0.7, initiate a query for financing projects unrelated to air pollution control, and confirm that the results are filtered.
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.