Document and Material Drafting for New Energy Development: Multi-turn Dialogue and Prompt Engineering

Document and Material Drafting for New Energy Development: Multi-turn Dialogue and Prompt Engineering

Data Sources and Structure for This Category

Document and material data for new energy development primarily comes from official end-to-end documents for central and local state-owned enterprise new energy projects. These include project approval applications, environmental impact assessment reports, grid connection access plans, construction organization designs, and completion acceptance reports. Update frequency adjusts based on project progression phases. Approval documents are updated during the project approval phase. Construction logs and progress reports are updated during the construction phase. Document structures include standardized project identification fields, technical parameter fields, and approval process fields. Fields include project number, construction entity, installed capacity, land area, total investment, and other relevant items. Most units use industry standard metrics such as megawatts, hectares, and ten thousand yuan.

Constraints on Multi-turn Dialogue and Prompt Engineering

Fixed project fields and approval processes require multi-turn dialogue prompts to clearly specify the scope of required fields. This prevents generation of content that fails to meet approval requirements. Phased data updates require multi-turn dialogue to bind the current project via chatId. This ensures context only links to historical records from the corresponding project cycle, and no information from other projects is included. Industry standard units require prompts to enforce that generated content uses legal units. This prevents unit errors in technical parameters. Long documents require multi-turn dialogue context windows to accommodate the length of new energy development documents. This avoids truncation of critical approval information.

Configuration Guidelines

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended SettingRationale
Maximum context length8000–12000 tokenNew energy development documents have a relatively long average single-document length, requiring coverage of complete context related to project approval and construction
Context retention ruleOnly retain messages associated with the current chatIdAvoid cross-project context interference, ensuring dialogue only links to the current new energy project
Variable substitution settingsEnable variables to bind system variablesSupport automatic insertion of standardized fields such as project number and current date, reducing manual input errors
chatId binding ruleBind the project's unique identifierEnsure multi-turn dialogue context only loads historical records for the current project, preventing disorganized historical content
Prompt field validationEnable required field validationForce generated documents to include mandatory approval and technical fields required for new energy projects

Three Common Configuration Errors

  • Phenomenon: Auto-reply content is empty when opening a conversation for the second time. Cause: The chatId for the corresponding project is not bound, causing the system to fail to load historical messages context.
  • Phenomenon: The signature date inserted in the prompt does not match the current system date. Cause: The platform time variable in variables is not correctly bound, or the variable substitution order is configured incorrectly.
  • Phenomenon: Content from a previous AI dialogue in a workflow is included in the final output. Cause: The second AI dialogue component is not configured to only receive specified input parameters, causing context from the previous dialogue to be mixed in.

How to Verify Correct Configuration

  • Initiate a test dialogue, enter basic parameters for a new energy project, and check if the generated document includes all preset required fields.
  • Close the dialogue page and re-enter it, check if historical messages are fully loaded and no reply content is missing.
  • Insert the platform time variable into the prompt, verify that the signature date in the generated content matches the current system date.
  • Configure a dual AI dialogue workflow, check that the final output only includes the generated results from the second dialogue, with no content from the previous round mixed in.

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 2026-09-28.