What the data for this category looks like
Operation and contract data for communication towers and infrastructure comes from three main sources: tower operation ledger systems, base station inspection reports, and site lease archives. Operation ledgers are updated monthly, and include structured fields such as tower ID, tower height, construction year, and maintenance records. Units are uniformly meters and yuan/year. Inspection reports are updated weekly, and include inspection date, tower inclination, bolt fastening status, and on-site captured photos. Lease archives are updated quarterly, and include long-text content such as information of both parties, lease term, rent standards, and liability for breach of contract. Document structures primarily mix structured tables and unstructured text and images. Some individual inspection reports can reach several thousand characters in length.
What constraints these characteristics impose on model access and configuration
This category of data includes both structured fields and unstructured text and images, with wide variation in individual document length. This requires model access configuration to support long-text parsing and visual information recognition. Fixed field units in operation ledgers must be strictly matched. Model-generated documents must not use mixed units. Different data sources have different update frequencies. When batch processing documents, the configuration must adapt to different synchronization rhythms to avoid generated content that does not match current operational status due to data lag. Unique identifiers such as tower ID must be accurately recognized by the model to prevent confusion in multi-tower documents. The configuration logic of FastGPT v4.17.0 must be adjusted specifically for the mixed data format of this category.
How to set the configuration
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Tower inspection reports and lease contracts are mostly long texts. This range can accommodate complete historical ledgers and context of the current draft to avoid truncating critical information |
maxTokens | 2000–3000 token | A single operational document (such as a rectification notice, lease renewal letter) must cover all rectification items and contract terms. The output length must match business requirements |
temperature | 0.2–0.4 | Documents must maintain rigor. This range reduces random generation deviations and avoids content inconsistent with tower operation specifications |
vision | Enabled | Inspection reports include on-site photos. This setting enables recognition of visual information such as loose bolts and inclination, which is used to draft targeted rectification documents |
AIPROXY_API_ENDPOINT | Fill in the exclusive address provided by the deployment service provider | Adapts to the dedicated model call link for the communication tower category, ensuring valid and legal request routing |
AIPROXY_API_TOKEN | Exclusive key bound to the deployment | Ensures call permissions and prevents unauthorized access to sensitive operational and contract data |
Three common mistakes
- Issue: Model calls return 404 status code (no body). Cause: The path of
AIPROXY_API_ENDPOINTis not filled correctly, orAIPROXY_API_TOKENis invalid, causing requests to fail to match the legal routing of the model service. - Issue: Some uploaded tower inspection documents are not automatically parsed by the model for document drafting. Cause: The
visionconfiguration item is not enabled, or the document length exceeds the default parsing threshold, causing the model to skip parsing unstructured content. - Issue: Only single-file operations are supported when adjusting vector training parameters in batches. Cause: Tower operation documents of the same category are not classified into the same knowledge base group, or the preset mode for batch vector update is not enabled, making batch synchronization impossible.
How to confirm the configuration is complete
- Test call the model interface corresponding to
AIPROXY_API_ENDPOINT, check that the return status code is 200, and the response body contains valid model output content. - Upload a tower inspection report with on-site photos, confirm that the generated rectification notice includes specific problem items identified from the photos.
- Batch upload tower operation documents of the same type, check that the system supports batch synchronous vector update without repeated single-file operations.
- Generate a lease renewal letter, verify that the units of fields such as tower height and rent match the units in the input ledgers.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.