refactor(schemas): rename Agent* schemas and WS frame types to Scout*

Rename all Pydantic models referring to the scout subsystem:
AgentConfig → ScoutConfig, ContentTypeConfig → ScoutContentTypeConfig,
AgentCatalogItem → ScoutCatalogItem, AgentCreationCheckRequest/Response →
ScoutCreationCheckRequest/Response, AgentTriggerRequest → ScoutTriggerRequest,
AgentRunLogResponse → ScoutRunLogResponse.

LLM-helper agent schemas in app/agents/* are untouched.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

tests/test_journey_v2.py

@@ -1,6 +1,6 @@
 """Tests for Local Agent V2 journey setup (Step 4).
 
-Covers the chatbot journey that produces a structured AgentConfig JSON
+Covers the chatbot journey that produces a structured ScoutConfig JSON
 instead of a freeform prompt_template string.
 
 Unit tests (no LLM)
@@ -16,7 +16,7 @@ Eval test (real LLM + Langfuse scoring)
 ----------------------------------------
   4.1   Journey start explores directory → first reply contains a question
 
-Cases 4.2–4.5 (multi-turn conversations producing a full AgentConfig) are
+Cases 4.2–4.5 (multi-turn conversations producing a full ScoutConfig) are
 non-deterministic and tested manually — results tracked in Langfuse.
 
 Run:
@@ -48,7 +48,7 @@ from app.api.routes.scout_setup import (
 )
 from app.core.langfuse_client import get_langfuse
 from app.core.ws_context import clear_client_executor, set_client_executor
-from app.schemas import AgentConfig
+from app.schemas import ScoutConfig
 from tests.conftest import TEST_USER_IDS
 
 # ── Constants ─────────────────────────────────────────────────────────────
@@ -179,7 +179,7 @@ def _evaluate_case(case: dict, reply: dict) -> tuple[float, str]:
 
 def test_4_6a_extract_valid_json():
     """_extract_agent_config: valid JSON between markers → returns serialised config."""
-    config = AgentConfig(
+    config = ScoutConfig(
         content_types=[],
         global_rules=["No project = no entity"],
         data_types=["tasks"],
@@ -187,7 +187,7 @@ def test_4_6a_extract_valid_json():
     text = f"Some preamble\n{_CONFIG_START}\n{config.model_dump_json()}\n{_CONFIG_END}\nTrailing"
     result = _extract_agent_config(text)
     assert result is not None
-    parsed = AgentConfig.model_validate_json(result)
+    parsed = ScoutConfig.model_validate_json(result)
     assert parsed.global_rules == ["No project = no entity"]