What the data for this category looks like
Data for optoelectronics industry intelligent due diligence reports comes from four main sources: public industry association statistics, annual reports of listed entities, public supply chain manufacturer quotation sheets, and performance test reports from third-party testing institutions.
Update frequency varies by data source. Quarterly financial reports are updated quarterly. Supply chain quotations are updated weekly. Single-batch product test reports are generated at the same time as delivery.
Document structures include modules such as segmented business revenue, core device performance parameters, upstream and downstream customer proportions, and patent layout.
Fields include model number, yield, luminous brightness, revenue proportion, and others. Some fields use dedicated units.
Constraints Imposed on Model Access and Configuration
The multi-source, heterogeneous data characteristics of optoelectronics due diligence reports create three constraints for model access and configuration.
First, a single report includes long-text test reports and multi-module structured data. A sufficiently large context window must be configured to fit complete input content.
Second, professional fields have dedicated units and domain-specific terminology. Additional mapping rules must be added to avoid parameter parsing errors.
Third, frequently updated supply chain data requires adaptation to streaming processing workflows. The workflow must support step-by-step model calls and hide intermediate steps, only outputting the final due diligence conclusion.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Optoelectronics due diligence reports often contain long-text test reports and multi-module structured data, requiring sufficient space to accommodate complete input content |
rerank_top_k | Top 6–10 entries | This category of due diligence reports contains a large number of similar device parameters, requiring reranking to screen the most relevant performance data |
system_prompt | Add optoelectronics domain terminology mapping rules | Adapt to unit and meaning parsing for professional fields such as "yield" and "luminous brightness" |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | A single due diligence report contains multiple attachments, requiring sufficient time to complete full document parsing |
workflow_hide_mid_result | Enabled | Multi-source data must be processed step-by-step, and only the final due diligence conclusion should be displayed, hiding intermediate model call results |
model_max_tokens | Aligned with deployment-side configuration | Avoid content truncation caused by parameter conflicts between deployment-side and platform-side settings |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Access and configuration of the o1 model cannot be completed, with the interface prompting
model_auth_failedorapi_invaliderrors. Cause: Dedicated authentication parameters for the o1 model were not filled in accordance with platform guidelines, or model request format requirements were not adapted. - Phenomenon: The workflow only executes a single model node, or intermediate step results are forcibly displayed. Cause: Multi-model call link configuration was not enabled, or the display switch for intermediate steps was not turned off.
- Phenomenon: The number of results returned after reranking does not meet expectations, or no relevant parameter entries are available. Cause: A compatible rerank model was not configured in version 4.6.7, or the
rerank_top_kparameter value exceeded the range supported by the model.
How to Confirm Successful Configuration
- Upload a typical optoelectronics industry intelligent due diligence report, and check whether parsed fields cover the professional parameters required for the business.
- Trigger a workflow run, and confirm that only the output of the last model node is displayed in the final result, with no public content in intermediate steps.
- Enter domain-specific queries, and verify that recalled and reranked results match the professional definitions and units of the parameters.
- Check model running logs to confirm that there are no error messages such as context truncation, authentication failure, or parameter conflicts.
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.