What Data for This Category Looks Like
This category of data primarily originates from project document libraries, configuration lists, meeting minutes, and test reports. Update cadence follows the end of a project phase or the completion of an overall project. Daily processed documents include as-built documents, configuration manuals, training records, and acceptance certificates. Documents typically contain fields such as project number, version number, seal status, and delivery scope. No unified fixed units exist; values vary based on the content volume of individual documents. The primary users of this data are project managers, implementation consultants, and customer archive administrators. Core needs center on document completeness, version consistency, and archiving compliance.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompting Workflows
Data sources for this category are scattered, and update cadence changes with project phases. Multi-turn dialogue must gradually guide users to clarify the current project scope, to avoid cross-project confusion. Diverse document types require prompts to accurately distinguish the purpose of different documents. For example, use as-built documents to verify delivery scope, and use acceptance certificates to confirm seal status. Multi-turn dialogue context must be tied to a specific project, to prevent document matching errors caused by confused context. Additionally, individual document volumes vary widely. Context recall range must be limited to avoid exceeding token limits.
Configuration Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Session ID Binding | Bind the chatId parameter | Ensure multi-turn dialogue context only associates with the current project handover and archiving workflow, to avoid cross-session confusion |
| Multi-turn Message Context | Retain the first 20 rounds of dialogue content | Adapt to the multi-phase communication scenario of project document handover, covering the full process from requirement confirmation to archiving verification |
| Prompt Variable Configuration | Bind the variables parameter to project number and document type | Accurately locate data such as as-built documents and acceptance certificates for the corresponding project, improving query targeting |
| Context Refresh Strategy | Trigger updates at the end of each project phase | Match the update cadence of this category of data, to avoid using expired old document data |
| Single-round Token Limit | 8000–12000 token | Accommodate summaries of multiple project documents and multi-turn dialogue content, adapting to the overall volume of documents in this category |
Three Common Configuration Errors
- Phenomenon: When orchestrating multiple AI dialogue nodes, token consumption across different nodes is incorrectly shared, causing individual nodes to exceed limits. Cause: The
chatIdparameter is not independently bound for each session, and context is not isolated. - Phenomenon: When passing a file while calling the dialogue interface, the system cannot match archived documents for the corresponding project. Cause: The
variablesparameter is not used to bind the project number variable, and the prompt does not explicitly require associating project information for the current session. - Phenomenon: Subsequent questions cannot associate the document version number mentioned in historical dialogue, and returned results include redundant content from multiple versions. Cause: The
messagesparameter is not fully passed, and key context information from historical dialogue is lost.
How to Confirm Correct Configuration
- Initiate a first-round query that includes a specific project number, and confirm returned results only associate with as-built documents, acceptance certificates, and other data for that project.
- Initiate 3 consecutive queries associated with different document types, and confirm the system can correctly identify and extract corresponding content.
- Check that each request carries a session identifier, to ensure context does not leak across sessions.
- After adjusting variable parameters bound to the prompt, confirm returned results match the currently bound project information.
The values provided here are common starting points, and should be validated against local samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.