From 3bb95c8af9029934609d5b57df30e9b156757fe8 Mon Sep 17 00:00:00 2001
From: chrischristiansen-glitch <chris.christiansen@vauco.no>
Date: Wed, 10 Jun 2026 07:17:26 +0200
Subject: [PATCH] =?UTF-8?q?CI6:=20fjern=20RAG=20fra=20root=5Fagent=20?=
 =?UTF-8?q?=E2=80=94=20blokkerer=20AFC/MCP=20FunctionTools=20(TODO:=20RAG?=
 =?UTF-8?q?=20som=20sub-agent=20n=C3=A5r=20korpus=20er=20oppdatert)?=
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---
 agents/core-logic/agent.py | 31 +++++--------------------------
 1 file changed, 5 insertions(+), 26 deletions(-)

diff --git a/agents/core-logic/agent.py b/agents/core-logic/agent.py
index 4e33098..85f445f 100644
--- a/agents/core-logic/agent.py
+++ b/agents/core-logic/agent.py
@@ -12,6 +12,10 @@ Autoriserte brukere for heavy: opax, admin
 Gjeldende modell-tilgjengelighet (mai 2026):
   gemini-2.0-flash-001 kun for eksisterende kunder — bruk IKKE.
   gemini-2.5-flash / gemini-2.5-pro krever GOOGLE_CLOUD_LOCATION=global.
+
+NOTE: RAG er midlertidig deaktivert (CI6) — blokkerte AFC når kombinert med
+FunctionTools. Legges tilbake som dedikert sub-agent når RAG-korpuset er
+oppdatert (OQ-RAG backlog).
 """
 
 import asyncio
@@ -29,7 +33,6 @@ logger = logging.getLogger(__name__)
 
 PROJECT_ID = os.environ.get("GOOGLE_CLOUD_PROJECT", "propane-will-491900-m5")
 LOCATION   = os.environ.get("GOOGLE_CLOUD_LOCATION", "global")
-RAG_CORPUS = os.environ.get("RAG_CORPUS", "")
 
 ORCHESTRATOR_MODEL = os.environ.get("ORCHESTRATOR_MODEL", "gemini-2.5-flash")
 SUBAGENT_MODEL     = os.environ.get("SUBAGENT_MODEL",     "gemini-2.5-flash")
@@ -77,25 +80,6 @@ def authorize_mode(user_id: str, mode: str) -> None:
         )
 
 
-rag_tool = None
-if RAG_CORPUS:
-    try:
-        from google.adk.tools.retrieval.vertex_ai_rag_retrieval import VertexAiRagRetrieval
-        from vertexai.preview import rag
-        rag_tool = VertexAiRagRetrieval(
-            name="retrieve_knowledge",
-            description="Retrieve relevant documentation and context from the OSVauco knowledge base.",
-            rag_resources=[rag.RagResource(rag_corpus=RAG_CORPUS)],
-            similarity_top_k=10,
-            vector_distance_threshold=0.6,
-        )
-        logger.info(f"RAG tool initialised: {RAG_CORPUS}")
-    except ImportError as e:
-        logger.warning(f"VertexAiRagRetrieval ikke tilgjengelig: {e}")
-else:
-    logger.warning("RAG_CORPUS ikke satt — kjører uten RAG")
-
-
 # —— OPAX-MCP FunctionTools (feiler stille) ——
 opax_tools = []
 try:
@@ -136,7 +120,6 @@ def build_agent(mode: str = "light") -> Agent:
         f"(heavy = gemini-2.5-pro, light = gemini-2.5-flash). "
         f"Oppgi ALDRI andre modellnavn enn disse. "
         f"Budsjettgrense per oppgave: ${models['budget_usd']}. "
-        "Bruk retrieve_knowledge for å hente dokumentasjon. "
         "Sanntids GCP-kostnader hentes fra /billing/summary, /billing/forecast "
         "og /billing/anomalies. Hvis disse mangler data, er det fordi BigQuery "
         "billing_export (OQ-15) ikke er aktivert ennå — si dette ærlig, ikke gjett tall. "
@@ -148,16 +131,12 @@ def build_agent(mode: str = "light") -> Agent:
         "Bruk alltid get_build_status for spørsmål om CI/CD-status — ikke gjett fra minne. "
         "Svar på norsk (bokmål) med mindre annet er bedt om."
     )
-    tools = []
-    if rag_tool:
-        tools.append(rag_tool)
-    tools.extend(opax_tools)
     return Agent(
         model=models["orchestrator"],
         name="opax_agent",
         description=f"OPAX — OSVauco enterprise agent [{mode}]",
         instruction=instruction,
-        tools=tools,
+        tools=opax_tools,
     )