Add conda environment selector

backend/app/agents/evaluation_agent.py

@@ -68,6 +68,11 @@ def evaluate_project() -> dict:
         and "gpu_count" in frontend_text
         and "gpus" in frontend_text
         and "CUDA_VISIBLE_DEVICES" in jobs_text,
+        "conda_env_selection_ui": "/api/system/envs" in frontend_text
+        and "selectedCondaEnv" in frontend_text
+        and "runtimeSelector" in frontend_text
+        and "conda_env" in frontend_text
+        and "request.conda_env" in jobs_text,
         "live_log_stream_ui": "EventSource" in frontend_text
         and "eventSourceRef" in frontend_text
         and "log_size" in frontend_text

backend/tests/test_jobs.py

@@ -22,6 +22,19 @@ def test_build_task_sets_cuda_visible_devices(tmp_path, monkeypatch):
     assert spec.env["CUDA_VISIBLE_DEVICES"] == "2,0"
 
 
+def test_build_task_uses_requested_conda_env(tmp_path, monkeypatch):
+    captured = {}
+
+    def fake_build_module_task(job_type, params, conda_env):
+        captured["conda_env"] = conda_env
+        return CommandSpec(["python", "-c", "print('ok')"], tmp_path, "fake task")
+
+    monkeypatch.setattr(jobs, "build_module_task", fake_build_module_task)
+    jobs._build_task(JobCreate(type="segmodel.train", params={}, conda_env="seg_custom"))
+
+    assert captured["conda_env"] == "seg_custom"
+
+
 def test_job_progress_reports_log_size(tmp_path):
     log_path = tmp_path / "job.log"
     log_path.write_text("line one\nline two\n", encoding="utf-8")