Require forwarded reviewer LLM credentials

agent_reviewer/builder.py

@@ -117,10 +117,25 @@ def build_reviewer_graph(
         )
     )
 
+    missing_llm_fields = [
+        name
+        for name, value in (
+            ("llm_model", ctx.llm_model),
+            ("llm_base_url", ctx.llm_base_url),
+            ("llm_api_key", ctx.llm_api_key),
+        )
+        if not value
+    ]
+    if missing_llm_fields:
+        raise ValueError(
+            "reviewer requires forwarded ctx.llm credentials; missing "
+            + ", ".join(missing_llm_fields)
+        )
+
     model_kwargs: dict[str, Any] = {
-        "model": ctx.llm_model or settings.litellm_model,
+        "model": ctx.llm_model,
-        "base_url": ctx.llm_base_url or (settings.litellm_url + "/v1"),
+        "base_url": ctx.llm_base_url,
-        "api_key": ctx.llm_api_key or settings.litellm_key,
+        "api_key": ctx.llm_api_key,
         "stream_usage": True,
     }
     if ctx.llm_temperature_mode != "omit":

tests/test_agent.py

@@ -13,6 +13,8 @@ if str(ROOT) not in sys.path:
 
 from a2a_pack import LocalRunContext, NoAuth  # noqa: E402
 from agent import AgentReviewer  # noqa: E402
+from agent_reviewer import builder as reviewer_builder  # noqa: E402
+from agent_reviewer.builder import ReviewerContext, build_reviewer_graph  # noqa: E402
 from agent_reviewer.tools import Finding, ReviewReport, ToolContext, build_tools  # noqa: E402
 from agent_reviewer.config import load_settings  # noqa: E402
 
@@ -77,6 +79,64 @@ async def test_review_returns_structured_error_without_llm_credentials(
     assert result["ref"] == "main"
 
 
+def test_reviewer_graph_uses_forwarded_llm_credentials(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    captured: dict = {}
+
+    class FakeChatOpenAI:
+        def __init__(self, **kwargs: object) -> None:
+            captured["model_kwargs"] = kwargs
+
+    def fake_create_deep_agent(**kwargs: object) -> dict[str, object]:
+        captured["graph_kwargs"] = kwargs
+        return kwargs
+
+    monkeypatch.setattr(reviewer_builder, "ChatOpenAI", FakeChatOpenAI)
+    monkeypatch.setattr(reviewer_builder, "create_deep_agent", fake_create_deep_agent)
+
+    graph = build_reviewer_graph(
+        ReviewerContext(
+            agent_name="hello-agent",
+            ref="main",
+            gitea_token="gitea-read-token",
+            gitea_owner="gitea_admin",
+            llm_base_url="http://litellm.test/v1",
+            llm_api_key="scoped-grant-token",
+            llm_model="platform-model",
+            llm_temperature_mode="omit",
+            llm_extra_body={"extra_body": {"thinking": {"type": "disabled"}}},
+        ),
+        completion_box={},
+    )
+
+    assert graph is captured["graph_kwargs"]
+    assert captured["model_kwargs"] == {
+        "model": "platform-model",
+        "base_url": "http://litellm.test/v1",
+        "api_key": "scoped-grant-token",
+        "stream_usage": True,
+        "extra_body": {"extra_body": {"thinking": {"type": "disabled"}}},
+    }
+
+
+def test_reviewer_graph_rejects_missing_forwarded_llm_credentials(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    monkeypatch.setenv("A2A_LITELLM_KEY", "env-key-should-not-be-used")
+
+    with pytest.raises(ValueError, match="forwarded ctx\\.llm credentials"):
+        build_reviewer_graph(
+            ReviewerContext(
+                agent_name="hello-agent",
+                ref="main",
+                gitea_token="gitea-read-token",
+                gitea_owner="gitea_admin",
+            ),
+            completion_box={},
+        )
+
+
 def test_invalid_severity_rejected() -> None:
     with pytest.raises(Exception):
         Finding(