What Data for This Category Looks Like
Data for urban investment platform documents and materials originates from annual work reports of urban investment entities, project feasibility study reports, government regulatory approval documents, urban investment bond prospectuses, and daily office documents. Update frequency aligns with project progress and policy adjustments. Annual reports are updated once per year. Project files are updated at project approval, implementation, and completion milestones. Regulatory documents are updated in sync with local policy changes. Document structures include fixed-format official templates and unstructured professional reports. Fields include project ID, urban investment entity rating, project budget amount, document number, and date, among others.
What Constraints Do These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The characteristics of urban investment platform document data impose three constraints on the multi-turn dialogue and prompt engineering link. First, fixed-format official templates require multi-turn dialogue to strictly align with format fields such as document number, recipient, and signature block. Prompts must clearly preset format requirements. Second, professional terminology and clear unit requirements mean prompts must unify data units to avoid confusion over amounts. Third, project-specific documents and dynamically updated policies require multi-turn dialogue to targetedly match the dataset for the corresponding project, and prioritize recalling the content of the latest regulatory documents.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context Length | 8000–12000 characters | Urban investment documents are usually lengthy, need to retain format and content details of multi-turn dialogue, and adapt to the parameter passing rules of FastGPT v4.17.0 |
variables | Preset "urban investment entity rating", "project budget unit", "project ID" | Unify document format and data standards, avoid ambiguity in professional terms and units |
| Single Search Limit | Top 6 entries | Valid recalled entries for urban investment-related documents usually focus on policies and corresponding project files, and a small number of entries can cover requirements |
messages | Append system prompts and user input by conversation turn | Ensure contextual coherence of multi-turn dialogue, and comply with the format requirements of urban investment official documents |
chatId | Generate unique identifier for a single urban investment project | Distinguish dialogue contexts of different projects, avoid data confusion |
| Conversation Opening Preset | Preset 3-4 questions related to urban investment documents | Help quickly initiate test conversations that meet business needs |
Three Common Errors
- Phenomenon: A 404 status code (no body) is returned when calling the API. Cause: The parameter format of
chatIdormessagesis not configured correctly, causing the API to fail to recognize the dialogue context - Phenomenon: File or text dataset upload fails, but template import function works normally. Cause: Urban investment-specific policies and project files are not uploaded to the specified classification directory, or the dataset update frequency does not match the update rhythm of urban investment documents
- Phenomenon: Corresponding urban investment project documents cannot be accurately recalled during multi-turn dialogue. Cause: Project ID or entity name is not preset in
variables, causing the prompt to fail to targetedly match the target dataset
How to Confirm Proper Configuration
- Initiate a test conversation, enter specific requirements for urban investment document drafting, and check whether the returned result contains the preset
variablesparameter content - View the API log to confirm that the parameters
chatId,messages, andvariablesare all passed according to the configuration, with no missing or format errors - Upload a feasibility study report of an urban investment project, initiate a search request, and check whether the recalled results contain relevant content of this file
- Initiate more than 3 consecutive progressive conversations, check whether the context is coherent, with no content loss or format confusion
The values provided here 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.