What the Data for This Category Looks Like
Data for advertising and marketing intelligent due diligence reports comes primarily from ad platform backends, media resource cooperation ledgers, third-party monitoring tools, and partner settlement vouchers. Data update frequencies cover hourly delivery details, daily conversion summaries, and weekly media price updates. Each report typically includes four structural components: media resource lists, delivery schedule tables, compliance check items, and conversion data ledgers. Fields include impressions, clicks, conversion cost (unit: yuan per conversion), qualification numbers, delivery time periods, and more. Some documents include image-format media samples and delivery screenshots.
Constraints Imposed on Model Access and Configuration
Characteristics of this report data impose clear constraints on model access and configuration. Hourly updated delivery detail data requires model calls to meet real-time requirements, requiring adjustments to batch call interval parameters. Heterogeneous data from multiple sources includes text, tables, and images, requiring connection to models that support multimodal parsing and enabling corresponding configuration items. Fixed-field compliance check demands require model output to strictly match preset field structures, requiring configuration of a fixed output format template. Documents with image samples require connection to model channels that support image recognition, and adjustment of document parsing timeout parameters to fit image loading durations.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
multi_modal_enabled | Enabled | Meets the need to parse media sample images included in reports |
parse_timeout_seconds | 120 seconds | Accommodates additional time for image loading and multimodal parsing |
model_call_interval | 10–30 seconds | Aligns with the hourly update rhythm of delivery data |
output_format_template | Fixed to match the [Media Name, Impressions, Clicks, Conversion Cost] format | Meets fixed-field compliance check requirements |
channel_vendor | Filled in according to the actual connected multimodal model vendor | Supports multimodal model channels such as Volcano Ark |
max_batch_size | 50 items per call | Controls delivery data volume per call to avoid interface timeouts |
The parameter values provided on this page are standard recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: The Volcano Ark option does not appear on the model channel configuration page. Cause: The Volcano Ark vendor configuration item was not manually added in the system configuration file.
- Symptom: The OneAPI channel disappears from the interface and cannot be re-added. Cause: The OneAPI interface key has expired or the server address has changed, and the configuration was not updated in a timely manner.
- Symptom: Garbled characters appear in the output of the thinking model in the knowledge base, and normal output resumes after switching to a non-thinking model. Cause: The output format of the thinking model does not match the fixed field requirements of the report, resulting in encoding parsing errors.
How to Confirm Successful Configuration
- Upload a test report including media images, and check whether parsed results extract media information associated with the images.
- Initiate a batch data call test, confirm that call interval and batch size match preset configurations, and no timeout-related errors occur.
- After configuring the fixed output format, generate a test due diligence report, and check whether model output strictly matches the preset field structure.
- Access the model channel configuration page, confirm that the target vendor's channel option displays normally and can be added successfully.
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.