Use NotGiven sentinels and add migration timestamps

Update LLM integrations and migration to match SDK and schema changes: switch from anthropic.omit/openai.Omit types to anthropic.NOT_GIVEN/openai.NotGiven in llm.py (and update type hints), stop converting createdAt/revertedAt to ISO strings in DB mapping to preserve datetime types, and add createdAt/updatedAt (NOW()) to LlmModel and LlmModelCost inserts in the migration SQL so new rows populate timestamps.

autogpt_platform/backend/backend/blocks/llm.py

@@ -265,12 +265,12 @@ class LLMResponse(BaseModel):
 
 def convert_openai_tool_fmt_to_anthropic(
     openai_tools: list[dict] | None = None,
-) -> Iterable[ToolParam] | anthropic.Omit:
+) -> Iterable[ToolParam] | anthropic.NotGiven:
     """
     Convert OpenAI tool format to Anthropic tool format.
     """
     if not openai_tools or len(openai_tools) == 0:
-        return anthropic.omit
+        return anthropic.NOT_GIVEN
 
     anthropic_tools = []
     for tool in openai_tools:
@@ -330,7 +330,7 @@ def extract_openai_tool_calls(response) -> list[ToolContentBlock] | None:
 
 def get_parallel_tool_calls_param(
     llm_model: LlmModel, parallel_tool_calls: bool | None
-) -> bool | openai.Omit:
+) -> bool | openai.NotGiven:
     """Get the appropriate parallel_tool_calls parameter for OpenAI-compatible APIs."""
     # Check for o-series models (o1, o1-mini, o3-mini, etc.) which don't support
     # parallel tool calls. Use regex to avoid false positives like "openai/gpt-oss".

autogpt_platform/backend/backend/server/v2/llm/db.py

@@ -614,8 +614,8 @@ def _map_migration(
         node_count=record.nodeCount,
         custom_credit_cost=record.customCreditCost,
         is_reverted=record.isReverted,
-        created_at=record.createdAt.isoformat(),
-        reverted_at=record.revertedAt.isoformat() if record.revertedAt else None,
+        created_at=record.createdAt,
+        reverted_at=record.revertedAt,
     )
 
 

autogpt_platform/backend/migrations/20260212000001_sync_llm_models_with_dev/migration.sql

@@ -12,7 +12,7 @@ DELETE FROM "LlmModel" WHERE "slug" IN ('o3', 'o3-mini', 'claude-3-7-sonnet-2025
 WITH provider_ids AS (
     SELECT "id", "name" FROM "LlmProvider"
 )
-INSERT INTO "LlmModel" ("id", "slug", "displayName", "description", "providerId", "contextWindow", "maxOutputTokens", "isEnabled", "capabilities", "metadata")
+INSERT INTO "LlmModel" ("id", "slug", "displayName", "description", "providerId", "contextWindow", "maxOutputTokens", "isEnabled", "capabilities", "metadata", "createdAt", "updatedAt")
 SELECT
     gen_random_uuid(),
     model_slug,
@@ -23,7 +23,9 @@ SELECT
     max_output_tokens,
     true,
     '{}'::jsonb,
-    '{}'::jsonb
+    '{}'::jsonb,
+    NOW(),
+    NOW()
 FROM (VALUES
     -- New OpenAI model
     ('gpt-5.2-2025-12-11', 'GPT 5.2', 'openai', 400000, 128000),
@@ -40,7 +42,7 @@ WITH model_ids AS (
 provider_ids AS (
     SELECT "id", "name" FROM "LlmProvider"
 )
-INSERT INTO "LlmModelCost" ("id", "unit", "creditCost", "credentialProvider", "credentialId", "credentialType", "currency", "metadata", "llmModelId")
+INSERT INTO "LlmModelCost" ("id", "unit", "creditCost", "credentialProvider", "credentialId", "credentialType", "currency", "metadata", "llmModelId", "createdAt", "updatedAt")
 SELECT
     gen_random_uuid(),
     'RUN'::"LlmCostUnit",
@@ -50,7 +52,9 @@ SELECT
     'api_key',
     NULL,
     '{}'::jsonb,
-    m."id"
+    m."id",
+    NOW(),
+    NOW()
 FROM (VALUES
     -- New model costs (estimate based on similar models)
     ('gpt-5.2-2025-12-11', 5),  -- Similar to GPT 5.1