Multi-turn Dialogue and Prompt Engineering for Cultural and

What this category’s data looks like

Data sources for cultural and entertainment goods financing daily reports include public equity financing disclosure platforms, industry monitoring databases, and local cultural and creative industry support publicity information. Updates follow a daily schedule, covering all cultural and entertainment goods financing projects disclosed on the current day. Each daily report is presented as a table. Each financing entry includes six core fields: target name, affiliated subcategory (such as trend toys, esports peripherals, cultural and creative merchandise, etc.), financing amount, financing round, investors, and disclosure date. Financing amount is measured in ten thousand RMB. Financing round uses standard venture capital terminology. Disclosure date follows the YYYY-MM-DD format.

Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompt Engineering

First, dispersed data sources lead to minor differences in field formats across channels. Multi-turn dialogue requires preset unified field mapping rules to prevent the model from confusing project information from different sources. Second, the daily update feature requires multi-turn dialogue to support incremental data queries, only pulling financing projects within a specified date range to reduce invalid context usage. Third, the wide range of cultural and entertainment goods subcategories requires prompts to clearly specify filtering conditions, ensuring the model’s output only includes financing information for the target category. Fourth, fields contain key information such as amount and round. Multi-turn dialogue must prevent the model from misjudging units or round definitions, so prompt engineering needs to fix field interpretation rules.

How to Set Configurations

Configuration Item	Recommended Value	Rationale
`maxContext`	`8000–12000 characters`	Each financing entry for cultural and entertainment goods financing daily reports is approximately 200 characters. Multi-turn dialogue needs to retain the last 30 historical context entries, and this range covers complete dialogue logic
`PARSE_FILE_TIMEOUT_SECONDS`	`60 seconds`	A single daily report document is usually no larger than 10 MB. Parsing time will not exceed this threshold, preventing timeout interruptions
`RECALL_TOP_K`	`Top 10 entries`	Core information of cultural and entertainment financing daily reports is concentrated in the last 10 disclosed projects. This value ensures the model’s output focuses on the latest updates
`PROMPT_TEMPLATE`	`Fixed prefix + output categorized by round/category + supplementary filtering for user follow-up questions`	Adapts to the characteristics of numerous subcategories of cultural and entertainment goods and critical round information, clarifying the model’s output format
`UPLOAD_FILE_MAX_SIZE`	`10 MB`	Matches the standard size of a single daily report document, preventing upload failures due to oversized files
`DIALOG_LOG_EXPORT_ENABLE`	`Enabled`	Supports exporting complete dialogue records to meet subsequent data review and verification needs

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. It is recommended to conduct testing on relevant in-house samples before finalizing configuration settings.

Three Common Configuration Errors

Issue: Calling the dialogue log export interface returns empty data or a 404 status code. Cause: The DIALOG_LOG_EXPORT_ENABLE configuration item is not enabled, and the corresponding data pull permission role is not configured.
Issue: Content confusion and field overlap occur after merging two AI dialogue outputs. Cause: No fixed output delimiter is specified in PROMPT_TEMPLATE, leading to inconsistent model output formats.
Issue: The model cannot interpret uploaded images related to cultural and entertainment products. Cause: The IMAGE_PARSE_ENABLE configuration item is not enabled, and basic OCR parsing parameters are not configured.

How to Verify Correct Configuration

A dialogue containing the keywords "trend toy financing" and "Pre-A round" is initiated, and the model’s output is verified to only include financing project data for cultural and entertainment goods categories.
The GET /api/dialog/history interface is called, and the returned dialogue records are verified to contain complete user and model interaction content.
An image related to cultural and entertainment goods containing financing information is uploaded, and the model’s ability to correctly extract text and key data from the image is verified.
The CUSTOM_ICON_URL parameter is modified and the corresponding icon file is uploaded, the dialogue window page is refreshed, and the icon is verified to update to the target style.

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.