fix(ai): honor non-OpenAI model in Runner

src/conductor/ai/agents/openai_compat.py

@@ -244,11 +244,12 @@ def _to_conductor_agent_agent(agent: Any) -> Any:
 def _run_agent(starting_agent: Any, max_turns: int) -> Any:
     """Resolve the agent to pass to the Conductor runtime.
 
-    Foreign framework agents (openai-agents, google-adk, …) are passed
-    through unchanged — the runtime's :func:`detect_framework` handles
-    serialization and tool registration. Native Conductor Agents are also
-    passed through unchanged (with optional ``max_turns`` override).  Only
-    truly unknown objects fall back to :func:`_to_conductor_agent_agent`.
+    OpenAI Agents are passed through unchanged when they target OpenAI so the
+    existing framework bridge remains available. For another configured
+    provider, they are converted to native Conductor Agents so the server's
+    model routing is used instead of the OpenAI framework path. Other foreign
+    framework agents are passed through unchanged, and truly unknown objects
+    fall back to :func:`_to_conductor_agent_agent`.
     """
     from conductor.ai.agents.agent import Agent as ConductorAgent
     from conductor.ai.agents.frameworks.serializer import detect_framework
@@ -259,10 +260,19 @@ def _run_agent(starting_agent: Any, max_turns: int) -> Any:
         return starting_agent
 
     framework = detect_framework(starting_agent)
+    if framework == "openai":
+        raw_model = getattr(starting_agent, "model", None) or os.environ.get(
+            "CONDUCTOR_AGENT_LLM_MODEL"
+        )
+        if raw_model and not _model_to_conductor_agent(raw_model).startswith("openai/"):
+            agent = _to_conductor_agent_agent(starting_agent)
+            agent.max_turns = max_turns
+            return agent
+        return starting_agent
+
     if framework is not None:
-        # Framework agent (e.g. openai-agents) — pass directly so the
-        # runtime registers the *original* tool functions as Conductor
-        # workers (preserving correct parameter names and types).
+        # Other framework agents (e.g. Google ADK) — pass directly so the
+        # runtime can use their framework-specific bridge.
         return starting_agent
 
     # Unknown type — attempt duck-type conversion

tests/unit/ai/test_openai_compat.py

@@ -0,0 +1,57 @@
+"""Regression tests for the OpenAI Agents compatibility Runner."""
+
+from __future__ import annotations
+
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+agents = pytest.importorskip("agents")
+Agent = agents.Agent
+function_tool = agents.function_tool
+
+from conductor.ai.agents import Agent as ConductorAgent  # noqa: E402
+from conductor.ai.agents.openai_compat import Runner, _run_agent  # noqa: E402
+
+
+def test_runner_converts_openai_agent_for_non_openai_model(monkeypatch):
+    """A configured non-OpenAI model must use Conductor's native path."""
+    monkeypatch.setenv("CONDUCTOR_AGENT_LLM_MODEL", "anthropic/claude-sonnet-4-6")
+    agent = Agent(name="assistant", instructions="Be helpful.")
+    fake_result = MagicMock(output={"result": "ok"}, execution_id="execution-1")
+
+    with patch("conductor.ai.agents.run.run", return_value=fake_result) as run:
+        result = Runner.run_sync(agent, "Hello")
+
+    resolved_agent = run.call_args.args[0]
+    default_max_turns = Runner.run_sync.__kwdefaults__["max_turns"]
+    assert isinstance(resolved_agent, ConductorAgent)
+    assert resolved_agent.model == "anthropic/claude-sonnet-4-6"
+    assert resolved_agent.max_turns == default_max_turns
+    assert result.final_output == "ok"
+
+
+def test_runner_keeps_openai_agent_for_openai_model(monkeypatch):
+    """The existing OpenAI framework path remains unchanged for OpenAI models."""
+    monkeypatch.setenv("CONDUCTOR_AGENT_LLM_MODEL", "openai/gpt-4o")
+    agent = Agent(name="assistant", instructions="Be helpful.")
+
+    assert _run_agent(agent, max_turns=10) is agent
+
+
+def test_runner_preserves_openai_function_tools_when_converting(monkeypatch):
+    """Converting for another provider must not discard OpenAI function tools."""
+
+    @function_tool
+    def greet(name: str) -> str:
+        """Greet someone."""
+        return f"Hello, {name}!"
+
+    monkeypatch.setenv("CONDUCTOR_AGENT_LLM_MODEL", "anthropic/claude-sonnet-4-6")
+    agent = Agent(name="assistant", instructions="Be helpful.", tools=[greet])
+
+    resolved_agent = _run_agent(agent, max_turns=10)
+
+    assert len(resolved_agent.tools) == 1
+    assert resolved_agent.tools[0].name == "greet"
+    assert resolved_agent.tools[0].func(name="Ada") == "Hello, Ada!"