Requirements and Design Document Drafting for Data Collection Task Design: Multi-turn Dialogue and Prompt Engineering

Data for this category primarily comes from customer requirement documents, public data sources, collection tool logs, and internal sample libraries.

What the Data for This Category Looks Like

Data for this category primarily comes from customer requirement documents, public data sources, collection tool logs, and internal sample libraries. Daily deliverable documents include collection plans, sample specification sheets, authorization instructions, and task scheduling sheets. Data update cycles follow individual project timelines. For cross-project reuse, updates can be synchronized on a weekly basis. Document fields include sample scope, collection fields, compliance check items, and scheduling nodes. Units typically include sample counts, time cycles, and permission identifiers. There is no unified standardized unit system.

Constraints on Multi-turn Dialogue and Prompt Engineering

Data sources for this category are scattered, and document structures are inconsistent. The most time-consuming steps—defining sample scope and confirming field specifications—require gradual clarification of vague customer needs through multi-turn dialogue. Prompts must preset basic compliance verification rules to avoid missing core clauses of authorization instructions. Since data updates follow single-project cycles, dialogue context must retain project-specific collection requirements. The length of retained historical messages must be limited to ensure interaction efficiency. Different projects have no unified standards for document fields. Prompts must clearly guide the extraction of standardized collection parameters to avoid generating task design content that does not meet project requirements.

Configuration Settings

Configuration ItemRecommended ApproachRationale
messages historical message retention limitFirst 3–5 turns of dialogue contentAdapts to the context length of single-project collection tasks, avoids redundant information interfering with prompt logic
variables preset collection field templateStructured variables including sample scope and compliance check itemsUnifies document field extraction rules across different projects, aligns with the standard structure of daily collection plans
Single dialogue timeout threshold600 secondsAdapts to the interaction duration required for complex compliance checks and multi-turn clarifications, prevents timeouts due to numerous task details
chatId binding to project-specific contextBinds to the unique identifier of the current projectEnsures multi-turn dialogue only retains collection requirements for the current project, avoids cross-project data confusion
Question optimization switchEnabledAutomatically optimizes vague user demand statements, assists in clarifying sample scope and field specifications
Maximum context token count8000 tokensAdapts to prompt input for long documents such as collection plans and authorization instructions, ensures complete information

Three Common Configuration Errors

In FastGPT v4.17.0, three common configuration errors are as follows:

  • A "context parsing failed" error appears in the dialogue window. The cause is failing to limit the historical turns of messages. Redundant content accumulated across multi-turn dialogue exceeds the configured maximum context token count, preventing the system from fully loading the context.
  • File and text dataset uploads fail, but template import functions operate normally. The cause is failing to configure data source verification rules in variables. The system fails to correctly recognize non-template upload request formats.
  • The dialogue opening screen only displays a single preset question, and multiple optional questions cannot be generated. The cause is failing to explicitly require the generation of multi-option opening questions in the prompt, and failing to write the preset question list into the initial dialogue variables of variables.

How to Verify Correct Configuration

  • Launch a simulated dialogue, input vague collection requirements, and check if the system can gradually clarify sample scope and field specifications to confirm that the messages historical turn limit is active.
  • Upload a non-template collection plan document, check if the upload function works normally, and confirm that the variables data source verification rules are configured correctly.
  • View the initial dialogue interface, confirm that multiple preset optional questions are displayed, and check if the variables initial variables include the preset question list.
  • Launch a dialogue containing compliance check items, check if the system can automatically associate relevant clauses of the authorization instructions, and confirm that the preset rules of the prompt are 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 2026-10-19.