What This Category’s Data Looks Like
- Data sources for brand agency operation research reports include public industry consulting reports, e-commerce platform monitoring data, and operation logs provided by brand owners.
- Updates follow a monthly routine schedule, with temporary updates added after major marketing nodes.
- Document structure covers core brand operation indicators, customer group layered data, competitor marketing action breakdown, and advertising channel effect details.
- Fields include GMV (ten thousand yuan), impressions (counts), customer group age range, advertising budget (ten thousand yuan), and conversion person-times. No percentage-based units are used. The word count of single documents varies significantly.
Constraints Imposed on Multi-Turn Dialogue and Prompting
The multi-source data characteristics of brand agency operation research reports require multi-turn dialogue to support cross-data source consistency verification. This prevents indicator conflicts across different sources. The uncertain update schedule requires prompt templates to include trigger conditions for real-time data recall. This ensures retrieved content uses the latest version. The complex document structure and multiple field attributes require prompt templates to clearly define field mapping rules. This prevents the model from confusing units and meanings of different indicators. The wide word count range of single documents requires context length configuration to adapt to long-text multi-turn dialogue retention needs.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Brand agency operation research reports have many fields and wide single-document span, requiring sufficient multi-turn dialogue history context to be retained |
recall_top_k | Top 6–10 entries | Research report data has many entries. Too many recalled results will cause context redundancy, while too few may miss key operation indicators |
prompt_template | Preset template for "brand agency operation research report retrieval", supplemented with field mapping and unit instructions | Category-specific fields and units must be clearly communicated to the model to avoid indicator confusion in retrieval results |
api_key_per_user | Enabled | Operation data of different agency clients must be isolated, to prevent session data leaks caused by global API keys |
timeout | 120 seconds | Cross-source retrieval of brand agency operation research reports takes a certain amount of time, to avoid interrupting the dialogue process due to timeout |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large brand agency operation research report documents takes longer, to prevent mid-parsing failures |
The parameter values provided on this page are all conventional recommendations, used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Calling the OpenAPI to start a dialogue returns a 422 error, while model testing proceeds normally. Cause: The required
appIdfield is not included in the request body, or the parameter format does not meet interface specifications. - Retrieval results from different agency clients are visible to each other in multi-turn sessions. Cause: The
api_key_per_userconfiguration is not enabled, and using a global API key results in no user-level isolation of session data. - Floating window style dialog boxes fail to load research report retrieval results normally. Cause: Category-specific field mapping rules are not clearly defined in the prompt template, causing the model to fail to match the correct data source and indicators.
How to Confirm Configuration Is Complete
- Initiate a single-turn dialogue, enter a specified brand agency operation research report retrieval requirement, verify that the returned results include correct fields and units, and check whether the data source matches the preset rules.
- Enable multi-turn dialogue, initiate three retrievals of different dimensions consecutively, verify that the context history is correctly retained, and that the dialogue logic is coherent without disconnection.
- Switch different API keys to initiate dialogues, verify that session data of different users is isolated, and no cross-user retrieval result leaks occur.
- Upload a single brand agency operation research report document, verify that the parsed fields match the preset template, with no parsing errors or missing fields.
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.