Implement model inference tables in postgres #5604
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Introduces a request-scoped feature flagging system for the Postgres migration: - New tensorzero-core/src/feature_flags module with: - FeatureFlags struct with compile-time default values - Task-local accessor get_feature_flags() callable from any code in request scope - Axum middleware parsing X-TensorZero-Feature-Flags header - Header format: comma-separated key:value pairs (e.g., use_postgres:true) - Initial USE_POSTGRES flag (defaults to false) - Unknown flags silently ignored (lenient validation) - Boolean values accept: true/false, 1/0, yes/no (case-insensitive)
Load model inference data
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(This includes feature flags and I'm not yet sure if it's useful)