1. Make the search intent explicit
Do not rely on prompt wording alone. Include the search settings directly in the request so AI Stats knows you want web search. Check for:- native search tools in
tools web_search_optionswhen the endpoint supports them
2. Confirm that a compatible provider was available
If the request is blocked or routed differently than you expected, inspect the request details for:- provider candidate details
- provider enablement details
- routing explanation
3. Inspect usage counters
Successful search-backed requests should show search-related usage meters such as:- requested native web search tools
- web search results
- citations
4. Inspect the search results section
For successful requests, open the request detail dialog and look for the Web search observability section. That section shows:- whether native search was used
- normalized result count
- normalized citation count
- the extracted result records
- the extracted citation records
5. Keep these cases separate
Today, native search and provider capability gating are live. Search fallback planning exists separately. When debugging, keep these cases separate:- native search request accepted and routed
- native search request accepted but no compatible provider remained
- native search request succeeded but returned weak or sparse citations
6. What to compare when results look wrong
Compare across requests:- model ID
- provider actually selected
- request search options
- result count
- citation count
- routing details