HTTP Interfaces and External Systems for Infrastructure

What the Data for This Category Looks Like

Data sources for infrastructure construction intelligent due diligence reports include project approval documents, construction logs, supervision reports, cost accounting ledgers, on-site inspection records, supporting CAD drawings and cost list attachments. Data update frequency varies by project phase: updated quarterly during the project initiation phase, and monthly or weekly during the construction phase. Document structures include structured fields and unstructured attachments. Structured fields include project number, total investment amount (unit: ten thousand yuan), start date, completion date, construction company qualification level, current progress payment amount (unit: yuan), and other items. Unstructured attachments are mostly PDF and CAD format files.

Constraints for HTTP Interfaces and External Systems

The large-volume unstructured attachments, multi-dimensional structured fields and phased update characteristics of infrastructure construction due diligence data create multiple constraints for HTTP interface and external system integration. Large attachments require interfaces to support resumable upload and large file upload to prevent transmission interruptions. Clear units for structured fields require interfaces to include built-in parameter verification logic to avoid data errors caused by unit mismatches. Phased updates require interfaces to support incremental pull requests to reduce bandwidth and storage pressure from full pull operations. Additionally, scenarios with parallel calls across multiple projects require interfaces to support data isolation via project identifiers to prevent mixing of retrieval results from different projects.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`2000 MB`	Single files of supporting CAD drawings and cost lists for infrastructure construction projects usually do not exceed 2 GB
`PARSE_FILE_TIMEOUT_SECONDS`	`1200 seconds`	Parsing large-scale project cost lists and multi-page supervision reports takes a long time
`maxContext`	`8000–12000 characters`	The core context length of a single infrastructure construction due diligence report usually falls within this range
`API_REQUEST_TIMEOUT`	`600 seconds`	Requests to pull full project due diligence data from external systems take a long time
`USER_IDENTIFIER_FIELD`	`project_id`	Infrastructure construction projects use project ID as the unique business identifier, which facilitates distinguishing calls across different projects

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volume and business rules. Specific issues require specific analysis, and testing against local samples is recommended before finalizing settings.

Three Common Misconfigurations

Symptom: A 500 Internal Server Error is returned when calling the Embedding model. OneAPI logs show an upstream request timeout. Cause: The upstream timeout threshold of OneAPI was not adjusted to meet the parsing requirements of large-volume attachments for infrastructure construction projects, causing the Embedding request to be terminated before completion.
Symptom: After connecting a business system via the FastGPT API, chat records and retrieval results from different infrastructure projects are mixed. Cause: The project_id was not carried as a business identifier parameter in API requests, or USER_IDENTIFIER_FIELD was not configured as project_id.
Symptom: A 401 Unauthorized error is returned when calling the model with a custom API key. This error occurs when switching between Alibaba Cloud Bailian and Ollama images. Cause: The authentication parameter format of the model interface was not correctly filled in the FastGPT external system configuration, or the key permissions did not cover the due diligence report retrieval and generation scenarios.

How to Confirm Configuration Is Correct

Submit an upload request for a supervision report under 100 MB, and verify that the returned file_id matches the attachment identifier stored in the external system.
Call the API to pull due diligence data for a single infrastructure project, and verify that the returned fields include the preset core parameters and that the units match business requirements.
Submit concurrent retrieval requests for two different project_ids, and verify that the returned results only contain due diligence data for the corresponding projects.
Check the FastGPT system logs to confirm that there are no error records for UPLOAD_FILE_MAX_SIZE limit exceeded or PARSE_FILE_TIMEOUT_SECONDS timeout.

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.