Tool Calling and Plugins for Optical Module Intelligent Due Diligence Reports

The data for optical module intelligent due diligence reports primarily comes from publicly available communication industry standard documents

What the data for this category looks like

The data for optical module intelligent due diligence reports primarily comes from publicly available communication industry standard documents, official product specifications from manufacturers, operator centralized procurement announcement data, and industry association monitoring information. The data update rhythm adjusts with manufacturer new product launches: regularly available products are updated monthly, and new product batches are synchronized quarterly. The core carrier of the documents is structured tables, with core fields including model identifier, transmission rate, operating wavelength, rated power, operating temperature range, interface type, and compliance certification information. The corresponding units are standardized communication industry measurement units such as Gbps, nm, W, ℃, etc.

What constraints do these characteristics impose on the "tool calling and plugins" workflow

The multi-source and dispersed nature of optical module data requires that tool calling be configured with multiple data source connection parameters, to connect to the manufacturer specification library, operator centralized procurement platform, and industry association interfaces respectively, avoiding information loss from a single data source. The document format centered on structured tables requires plugins to have built-in structured table parsing rules, and separate matching rules for table row/column extraction must be configured to adapt to field naming differences across manufacturers. The requirement for standardized measurement units requires adding unit verification logic during the tool calling phase, to automatically convert non-standard unit expressions from different sources and ensure unified data in due diligence reports. Differences in data update rhythms require that the scheduled task configuration for tool calling matches the update cycle of the corresponding data sources, to avoid pulling outdated or unupdated information.

How to set the configurations

Configuration ItemRecommended ApproachBasis for This Approach
multi_source_api_keysAssign independent keys according to the number of connected data sourcesAdapt to multi-source data pulling requirements, avoid access frequency limits of a single key
structured_table_parse_modeEnable the "header-first matching" modeAdapt to the structured table format of optical module documents, prioritize extracting standard fields defined by headers
unit_conversion_enabledEnable and configure the conversion rule to uniformly convert to international standard unitsResolve unit differences across sources, ensure data consistency
data_sync_cronSet to 0 0 2 * * for regular products, set to 0 0 * * 0 for new product batchesMatch the monthly/quarterly update rhythm of optical module data
tool_call_timeoutConfigure as 30 secondsAdapt to the average response time of multi-source API calls, avoid timeout interruptions
field_mapping_templatePreset a standard mapping table including "model, transmission rate, wavelength, power"Unify field naming differences across manufacturers, reduce parsing errors

The parameter values provided on this page are all conventional recommendations used as 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 conduct tests on your own samples before finalizing settings.

Three common mistakes

  • Symptom: The tool calling module has no API request logs, and the status code shows "unauthorized". Cause: multi_source_api_keys is not configured, or the key permissions are insufficient to access the connected data source interfaces.
  • Symptom: The output of tool calling cannot connect to the downstream knowledge base recall node, and the content read by the downstream node is plain text table code. Cause: structured_table_parse_mode is not enabled, and the original table is not parsed into structured referenceable fields.
  • Symptom: The tool calling return result continuously outputs in streaming mode, and all optical module data cannot be fully obtained. Cause: The streaming output switch is not turned off in the tool calling configuration, and real-time streaming return is enabled by default.

How to confirm the configuration is complete

  • View the API request logs of the tool calling module, confirm that valid requests have been initiated to all configured data source interfaces.
  • Manually trigger a tool call, check whether the fields of the returned result match the preset field_mapping_template.
  • View the input and output of the downstream node, confirm that the content returned by the tool has been parsed into referenceable structured fields.
  • Check the running records of the scheduled task, confirm that the data synchronization task executes according to the configured data_sync_cron cycle.

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.