What Data for This Category Looks Like
This category of data primarily comes from customer data center environments, equipment inventories, software packages, and network topologies. Daily retained documents include deployment manuals, installation records, configuration lists, and on-site check-in sheets. Data updates occur once per order or project phase. Fields include equipment model, software version, network ports, and configuration parameters, among others. There is no fixed unified format. Organization must be based on on-site collected actual information.
Constraints Imposed by These Characteristics on Model Access and Configuration
This content is written based on FastGPT v4.17.0. Data for this category is scattered and updated in single batches. On-site environment data must be collected and verified before model access configuration, to prevent configuration failure caused by mismatched equipment models or network topologies. Document structures have no unified format. Parameter binding logic must be flexibly adjusted based on fields in deployment manuals and configuration lists. The single-project nature of on-site deployments requires configuration processes to be adapted to single-scenario customization. Debugging space must be reserved for on-site problem troubleshooting to reduce the risk of project delay.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
AIPROXY_API_ENDPOINT (App/Admin server environment variable, AI Proxy service root address, example value is http://aiproxy:3000, do not append /v1 or other interface paths, non-single-model service address) | Fill in the correct root address of the AI Proxy service | Adapt to the on-site deployment network environment, avoid compliance risks from cross-public network access |
AIPROXY_API_TOKEN (App/Admin server environment variable, AI Proxy administrator Token, must match the AI Proxy server configuration and be non-empty, not application API Key, model vendor key, etc.) | Fill in the administrator Token matching the AI Proxy server configuration | Ensure that access permissions match on-site security policies |
maxContext | 8000–12000 token | Balance the content coverage and response speed of compliance review, comply with on-site deployment resource limits |
temperature | 0.2–0.4 | Reduce randomness in compliance review, ensure results meet fixed audit standards |
maxTokens | 2000 characters | Adapt to the on-site deployment single-item content review length requirements, avoid exceeding device memory limits |
Three Common Misconfigurations
- Symptom: Some large model options cannot be selected in the interface. Troubleshooting step: Check whether the model channel configuration is correct.
- Symptom: A network timeout error occurs after configuration is saved. Troubleshooting step: Check whether the
AIPROXY_API_ENDPOINTenvironment variable is configured with the correct root address of the AI Proxy service and is network-reachable. - Symptom: The review result returns empty. Troubleshooting step: Check whether the
maxContextvalue covers the content length of the current compliance material.
How to Confirm Configuration Is Complete
- Access the AI Proxy service root address specified by
AIPROXY_API_ENDPOINTto verify interface connectivity. - Submit test compliance materials, check whether the returned result contains complete review content.
- View deployment logs to confirm there are no permission errors or timeout exceptions.
- Compare parameters in the configuration list with on-site entered fields to ensure binding relationships are correct.
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 2026-10-19.