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feat(run): Propagates model_name from the gateway request through the runtime and persistence stack to the SQLite database. (#2775)
* feat(run): propagate model_name from gateway request context to persistence layer Pass model_name through the full run creation pipeline — from RunCreateRequest.context in the gateway, through RunManager, to the RunStore interface and SQL persistence. This enables client-specified model selection to be recorded per-run in the database. * feat(run): add model allowlist validation and effective model name capture - Validate model_name against allowlist in gateway services.py using get_app_config().get_model_config() - Truncate model_name to 128 chars to match DB column constraint - In worker.py, capture effective model name from agent.metadata after agent creation and persist if resolved differently than requested * feat(run): add defense-in-depth model_name normalization and round-trip persistence tests - Add _normalize_model_name() to RunRepository for whitespace stripping and 128-char truncation before DB writes. - Add round-trip unit tests for model_name creation and default None in test_run_manager.py. * fix(run): coerce non-string model_name values before strip/truncate in _normalize_model_name * fix(gateway): add runtime type guard for model_name coercion in gateway services Add isinstance check and str() coercion before calling .strip() to prevent AttributeError when non-string types (int, None, etc.) flow through the gateway. Paired with SQL integration test for end-to-end model_name persistence across gateway → langgraph → persistence layer. * fix(run): drop Alembic migration for model_name (no-op) and expose public update method on RunManager - Drop a1b2c3d4e5f6 migration: model_name already exists in RunRow schema and is auto-created via Base.metadata.create_all() at startup - Add update_model_name() public method to RunManager to replace the private _persist_to_store call in worker.py, preserving internal locking/persistence
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@@ -23,6 +23,7 @@ class RunStore(abc.ABC):
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thread_id: str,
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assistant_id: str | None = None,
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user_id: str | None = None,
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model_name: str | None = None,
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status: str = "pending",
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multitask_strategy: str = "reject",
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metadata: dict[str, Any] | None = None,
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@@ -22,6 +22,7 @@ class MemoryRunStore(RunStore):
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thread_id,
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assistant_id=None,
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user_id=None,
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model_name=None,
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status="pending",
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multitask_strategy="reject",
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metadata=None,
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@@ -35,6 +36,7 @@ class MemoryRunStore(RunStore):
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"thread_id": thread_id,
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"assistant_id": assistant_id,
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"user_id": user_id,
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"model_name": model_name,
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"status": status,
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"multitask_strategy": multitask_strategy,
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"metadata": metadata or {},
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