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* fix(anthropic): handle per-level reasoning_effort flags without supports_reasoning When a model has only per-level flags (e.g. supports_minimal_reasoning_effort: true) but no explicit supports_reasoning flag, treat it as implicitly reasoning-capable. This fixes gpt-5-search-api which declares minimal support but was incorrectly degraded to low/minimal floor due to missing explicit supports_reasoning flag. Test: verify per-level flag enables resolution path even without supports_reasoning. Note: This change indirectly causes 20 azure deployments to forward max/xhigh instead of degrading to high when requested, as these models now correctly resolve their supported efforts through declared capability flags. This is intended behavior (avoiding unnecessary degradation) but silent; operators seeing increased latency/cost should check reasoning effort changes in logs. Co-Authored-By: Claude <noreply@anthropic.com> * fix(anthropic): explicit supports_reasoning=False wins over per-level flags Greptile P1: the implicit-True branch bypassed the operator's explicit supports_reasoning: false escape hatch when per-level flags were present or inherited through the bare-twin lookup. Return () first on explicit False, then apply the per-level implication only when the flag is unset. Also drops a test comment that restated the test name (P2). Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com> |
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| .. | ||
| pre_call_checks | ||
| test_add_retry_fallback_headers.py | ||
| test_auto_router_model_naming.py | ||
| test_cooldown_cache.py | ||
| test_cooldown_handlers.py | ||
| test_fallback_event_handlers.py | ||
| test_health_check_allowed_fails_integration.py | ||
| test_health_state_cache.py | ||
| test_reasoning_effort_capability.py | ||
| test_router_health_check_routing.py | ||
| test_router_interactions_endpoints.py | ||
| test_router_utils_common_utils.py | ||