Add GPT-5.2 model and admin LLM endpoints

Introduces a migration to add the GPT-5.2 model and updates the O3 model slug in the database. Refactors backend LLM model registry usage for search and migration logic. Expands the OpenAPI spec with new admin endpoints for managing LLM models, providers, creators, and migrations.

autogpt_platform/backend/backend/api/features/builder/db.py

@@ -14,6 +14,7 @@ import backend.data.block
 from backend.blocks import load_all_blocks
 from backend.blocks.llm import LlmModel
 from backend.data.block import AnyBlockSchema, BlockCategory, BlockInfo, BlockSchema
+from backend.data.llm_registry import get_all_model_slugs_for_validation
 from backend.data.db import query_raw_with_schema
 from backend.integrations.providers import ProviderName
 from backend.util.cache import cached
@@ -31,7 +32,11 @@ from .model import (
 )
 
 logger = logging.getLogger(__name__)
-llm_models = [name.name.lower().replace("_", " ") for name in LlmModel]
+
+
+def _get_llm_models() -> list[str]:
+    """Get LLM model names for search matching from the registry."""
+    return [slug.lower().replace("-", " ") for slug in get_all_model_slugs_for_validation()]
 
 MAX_LIBRARY_AGENT_RESULTS = 100
 MAX_MARKETPLACE_AGENT_RESULTS = 100
@@ -496,8 +501,8 @@ async def _get_static_counts():
 def _matches_llm_model(schema_cls: type[BlockSchema], query: str) -> bool:
     for field in schema_cls.model_fields.values():
         if field.annotation == LlmModel:
-            # Check if query matches any value in llm_models
-            if any(query in name for name in llm_models):
+            # Check if query matches any value in llm_models from registry
+            if any(query in name for name in _get_llm_models()):
                 return True
     return False
 

autogpt_platform/backend/backend/api/rest_api.py

@@ -126,7 +126,8 @@ async def lifespan_context(app: fastapi.FastAPI):
     await backend.data.user.migrate_and_encrypt_user_integrations()
     await backend.data.graph.fix_llm_provider_credentials()
     # migrate_llm_models uses registry default model
-    await backend.data.graph.migrate_llm_models(llm_registry.get_default_model_slug())
+    from backend.blocks.llm import LlmModel
+    await backend.data.graph.migrate_llm_models(LlmModel(llm_registry.get_default_model_slug()))
     await backend.integrations.webhooks.utils.migrate_legacy_triggered_graphs()
 
     with launch_darkly_context():

autogpt_platform/backend/backend/blocks/llm.py

@@ -190,6 +190,10 @@ class LlmModel(str, metaclass=LlmModelMeta):
 
 # MODEL_METADATA removed - all models now come from the database via llm_registry
 
+# Default model constant for backward compatibility
+# Uses the dynamic registry to get the default model
+DEFAULT_LLM_MODEL = LlmModel.default()
+
 
 class ToolCall(BaseModel):
     name: str

autogpt_platform/backend/migrations/20260106150000_add_gpt52_model/migration.sql

@@ -0,0 +1,52 @@
+-- Add GPT-5.2 model and update O3 slug
+-- This migration adds the new GPT-5.2 model added in dev branch
+
+-- Update O3 slug to match dev branch format
+UPDATE "LlmModel"
+SET "slug" = 'o3-2025-04-16'
+WHERE "slug" = 'o3';
+
+-- Update cost reference for O3 if needed
+-- (costs are linked by model ID, so no update needed)
+
+-- Add GPT-5.2 model
+WITH provider_id AS (
+    SELECT "id" FROM "LlmProvider" WHERE "name" = 'openai'
+)
+INSERT INTO "LlmModel" ("id", "slug", "displayName", "description", "providerId", "contextWindow", "maxOutputTokens", "isEnabled", "capabilities", "metadata")
+SELECT
+    gen_random_uuid(),
+    'gpt-5.2-2025-12-11',
+    'GPT 5.2',
+    'OpenAI GPT-5.2 model',
+    p."id",
+    400000,
+    128000,
+    true,
+    '{}'::jsonb,
+    '{}'::jsonb
+FROM provider_id p
+ON CONFLICT ("slug") DO NOTHING;
+
+-- Add cost for GPT-5.2
+WITH model_id AS (
+    SELECT m."id", p."name" as provider_name
+    FROM "LlmModel" m
+    JOIN "LlmProvider" p ON p."id" = m."providerId"
+    WHERE m."slug" = 'gpt-5.2-2025-12-11'
+)
+INSERT INTO "LlmModelCost" ("id", "unit", "creditCost", "credentialProvider", "credentialId", "credentialType", "currency", "metadata", "llmModelId")
+SELECT
+    gen_random_uuid(),
+    'RUN'::"LlmCostUnit",
+    3,  -- Same cost tier as GPT-5.1
+    m.provider_name,
+    NULL,
+    'api_key',
+    NULL,
+    '{}'::jsonb,
+    m."id"
+FROM model_id m
+WHERE NOT EXISTS (
+    SELECT 1 FROM "LlmModelCost" c WHERE c."llmModelId" = m."id"
+);