What the data for this category looks like
Data for telecommunications service financing daily reports comes from telecommunications industry investment and financing monitoring platforms, operator public financing announcements, and third-party industrial databases. It is updated daily, covering all financing events in the telecommunications service sector on the day. The document structure uses structured tables paired with brief industry analysis, including fields such as full and short names of financing subjects, financing round, financing amount (with units of ten thousand yuan and hundred million yuan), investor subject, financing occurrence date, and affiliated sub-segments (such as optical communication, satellite communication, 5G infrastructure).
What constraints these characteristics impose on the model access and configuration link
The daily update rhythm requires configuring the timed pull interval to sync with data source updates, to avoid data delays or repeated pulls. Multiple fields and mixed unit usage require configuring field standardization rules to unify financing amount units. The diversity of sub-segment fields requires configuring an entity extraction schema to clearly specify the fields to be extracted. Format differences across multiple data sources require configuring pre-data cleaning rules to unify field names and formats, ensuring the model can stably recognize core information.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
data_refresh_interval | 86400 seconds | Matches the daily update rhythm of telecommunications service financing daily reports, ensuring pulling the latest full dataset |
parse_field_schema | ["融资主体","融资轮次","融资金额","投资方","融资时间","细分赛道"] | Matches the standard field structure of the daily report, guiding the model to accurately extract core information |
amount_unit_normalization | Uniformly Convert to 100M Yuan | Avoids numerical recognition deviations caused by mixed use of ten thousand yuan and hundred million yuan, unifying the output format |
tool_call_batch_size | 10 items per request | Adapts to the typical number of daily telecommunications service financing events, balancing pull efficiency and interface load |
entity_alignment_threshold | 0.85 | Distinguishes matching accuracy between short and full names of telecommunications service providers, reducing entity recognition error rates |
tool_call_timeout | 300 seconds | Covers the average time required to pull data from multiple telecommunications industry sources, avoiding mid-run timeout interruptions |
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 Misconfigurations
- Phenomenon: Financing data pulled by tool calls is not displayed in the conversation window, or the model output does not include extracted financing information. Cause: The
tool_call_show_resultconfiguration item is not enabled, causing the raw data returned by the tool to be hidden. - Phenomenon: When calling a model connected via OneAPI, the interface returns a red error code
400 Bad Request. Cause: The model'sapi_baseconfigured in FastGPT does not match the custom interface address of OneAPI, or the passedtemperatureparameter exceeds the range supported by the model. - Phenomenon: The extracted sub-segment field from the model is empty or identified incorrectly. Cause: The
parse_field_schemaconfiguration does not specify the sub-segment field, causing the model to fail to recognize this specific type of information.
How to Confirm the Configuration is Complete
- Manually trigger a tool call, check if the pulled telecommunications service financing daily report data includes all configured fields, and the financing amount units are unified.
- View the extraction results output by the model, confirm that core information such as financing subjects and rounds is accurately identified, with no missing fields.
- Test cross-day pulls, confirm that the data refresh interval meets the daily update requirement, with no duplicate or missing entries.
- Call the connected model, check that it can normally generate analysis content based on the financing daily report data, with no errors.
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.