Model Verification

AIone Model Sources

All models on AIone are accessed through official cloud services to ensure you are using authentic models:

Provider	Access Channel
Anthropic Claude	AWS Bedrock
OpenAI GPT	OpenAI API / Azure OpenAI
Google Gemini	GCP Vertex AI

How to Verify Model Authenticity

We do not recommend relying on non-standard response headers as proof of authenticity. A more reliable approach is to check whether the model and usage fields in the response are consistent with your console records.

1. Check the `model` Field in the Response

Every API response includes the actual model identifier:

{
  "model": "claude-sonnet-4-20250514",
  "choices": [...]
}

The returned model should match the model you requested, or match the current model ID declared in the platform documentation.

2. Verify the `usage` Field

A normal response typically includes usage.prompt_tokens, usage.completion_tokens, and usage.total_tokens. These values should be proportional to the size of your request and the length of the response.

3. Cross-Reference Console Usage Records

After making calls through AIone, we recommend verifying that the following are consistent:

The model field in the response

The usage field in the response

The model, timestamp, and token consumption shown in the console usage details

The corresponding billing or usage statistics

4. Retain the Request ID for Troubleshooting

If you have concerns about a specific request, save the id field from the response along with the original request and response content. This makes it easy for the platform to investigate.

AIone's Assurance Measures

100% official channels: No reverse-engineered APIs, unauthorized proxies, or misrepresented models

Request transparency: The console shows the model, token consumption, and latency for every call

Audit trail: The platform retains complete call metadata for investigating anomalous requests

Public status page: portal.nexara.net/status displays real-time service status

How to Report a Suspected Issue

If you observe abnormal model behavior or suspect a model authenticity problem:

Record the request ID (the id field in the response)

Save the complete request and response content

Submit a ticket through the Support System -- we will investigate and respond within 24 hours

09 - Model Verification

Model Verification#

AIone Model Sources#

How to Verify Model Authenticity#

1. Check the model Field in the Response#

2. Verify the usage Field#

3. Cross-Reference Console Usage Records#

4. Retain the Request ID for Troubleshooting#

AIone's Assurance Measures#

How to Report a Suspected Issue#