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feat: add AI Bridge request logs model filter (#22230)
This pull-request implements a simple filtering logic so that we're able to pick which model the user actually used when logs were sent to AI Bridge. - Add `GET /aibridge/models` API endpoint that returns distinct model names from AI Bridge interceptions, with pagination and search support - New `ListAIBridgeModels` SQL query using case-sensitive prefix matching (`LIKE model || '%'`) to allow B-tree index usage - Hand-written `ListAuthorizedAIBridgeModels` in `modelqueries.go` for RBAC authorization filter injection - `AIBridgeModels` search query parser in searchquery/search.go (defaults bare terms to the `model` field) - dbauthz wrappers, dbmetrics, and dbmock implementations for the new query <img width="292" height="185" alt="image" src="https://github.com/user-attachments/assets/134771df-2d26-4c54-acc4-27f58128b351" />
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@@ -653,6 +653,7 @@ type sqlcQuerier interface {
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// Finds all unique AI Bridge interception telemetry summaries combinations
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// (provider, model, client) in the given timeframe for telemetry reporting.
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ListAIBridgeInterceptionsTelemetrySummaries(ctx context.Context, arg ListAIBridgeInterceptionsTelemetrySummariesParams) ([]ListAIBridgeInterceptionsTelemetrySummariesRow, error)
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ListAIBridgeModels(ctx context.Context, arg ListAIBridgeModelsParams) ([]string, error)
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ListAIBridgeTokenUsagesByInterceptionIDs(ctx context.Context, interceptionIds []uuid.UUID) ([]AIBridgeTokenUsage, error)
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ListAIBridgeToolUsagesByInterceptionIDs(ctx context.Context, interceptionIds []uuid.UUID) ([]AIBridgeToolUsage, error)
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ListAIBridgeUserPromptsByInterceptionIDs(ctx context.Context, interceptionIds []uuid.UUID) ([]AIBridgeUserPrompt, error)
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