Please address the comments from this code review:

## Overall Comments
- In `benchmarks_list_cli`, when `args.format == 'json'` you pass a generator (`(asdict(item) for item in results)`) to `json.dumps`, which will fail serialization; convert to a list (e.g., `[asdict(item) for item in results]`) before dumping.
- In `normalize_benchmark_record`, the error message uses `type(BenchmarkRecord)` instead of the actual instance type; update it to `type(benchmark)` so the raised `NotImplementedError` reports the correct offending type.
- The `ramalama-benchmarks` man page describes results being stored in a SQLite database with a `db_path`, but `BenchmarksManager` currently writes JSONL to `benchmarks.jsonl`; consider aligning the implementation with the documented SQLite behavior or adjusting the configuration naming to avoid confusion.

## Individual Comments

### Comment 1
<location> `ramalama/cli.py:572-574` </location>
<code_context>
+            print("No benchmark results found")
+            return
+
+        if args.format == "json":
+            output = (asdict(item) for item in results)
+            print(json.dumps(output, indent=2, sort_keys=True))
+        else:
+            print_bench_results(results)
</code_context>

<issue_to_address>
**issue (bug_risk):** JSON output path builds a generator, which `json.dumps` cannot serialize.

`output` is a generator (`(asdict(item) for item in results)`), which `json.dumps` cannot serialize and will raise a `TypeError`. Please convert to a concrete structure first, e.g. `output = [asdict(item) for item in results]`, or switch to a streaming JSON approach.
</issue_to_address>

### Comment 2
<location> `ramalama/benchmarks/schemas.py:114` </location>
<code_context>
+    configuration: TestConfigurationV1
+    result: LlamaBenchResultV1
+    version: Literal["v1"] = "v1"
+    created_at: str = datetime.now(timezone.utc).isoformat()
+    device: DeviceInfoV1 = field(default_factory=DeviceInfoV1.current_device_info)
+
</code_context>

<issue_to_address>
**issue (bug_risk):** `created_at` default is evaluated at import time, so all records share the same timestamp.

Because this default is evaluated at class definition time, every `BenchmarkRecordV1` created without an explicit `created_at` will have the same timestamp. Use a `default_factory`, e.g. `field(default_factory=lambda: datetime.now(timezone.utc).isoformat())`, to generate a fresh value per instance.
</issue_to_address>

### Comment 3
<location> `ramalama/benchmarks/schemas.py:202-206` </location>
<code_context>
+    raise NotImplementedError(f"No supported benchmark schemas for version {version}")
+
+
+def normalize_benchmark_record(benchmark: BenchmarkRecord) -> BenchmarkRecordV1:
+    if isinstance(benchmark, BenchmarkRecordV1):
+        return benchmark
+
+    raise NotImplementedError(f"Received an unsupported benchmark record type {type(BenchmarkRecord)}")
</code_context>

<issue_to_address>
**issue (bug_risk):** Error message uses `type(BenchmarkRecord)` instead of the actual `benchmark` instance.

This will always report the base class, not the actual runtime type, which makes the error misleading. Using `type(benchmark)` would correctly show the unexpected concrete type received.
</issue_to_address>

### Comment 4
<location> `ramalama/benchmarks/schemas.py:40-47` </location>
<code_context>
+    container_runtime: str = ""
+    inference_engine: str = ""
+    version: Literal["v1"] = "v1"
+    runtime_args: dict[str, Any] | None = None
+
+
</code_context>

<issue_to_address>
**suggestion:** The declared type of `runtime_args` does not match how it is populated.

In `BaseTransport.bench`, `runtime_args` receives `cmd` (a `list[str]`), but it’s annotated as `dict[str, Any] | None`. Please align the annotation with actual usage (e.g., `list[str] | None` or `object`) or change the caller to pass a mapping instead of a list.

```suggestion
@dataclass
class TestConfigurationV1(TestConfiguration):
    """Container configuration metadata for a benchmark run."""

    container_image: str = ""
    container_runtime: str = ""
    inference_engine: str = ""
    version: Literal["v1"] = "v1"
    runtime_args: list[str] | None = None
```
</issue_to_address>

### Comment 5
<location> `ramalama/config.py:153-154` </location>
<code_context>
+    version: ClassVar[Any]
+
+
+@dataclass
+class DeviceInfoV1(DeviceInfo):
+    hostname: str
</code_context>

<issue_to_address>
**issue (bug_risk):** Config field name `storage_folder` conflicts with documented `db_path` key.

Unless there’s explicit aliasing between `db_path` and `storage_folder`, values set in the config file will be ignored and the default will always be used. Please either rename the field to match the documented key or introduce a compatibility mapping so existing configs continue to work as expected.
</issue_to_address>

### Comment 6
<location> `ramalama/transports/base.py:472` </location>
<code_context>
            result = subprocess.CompletedProcess(args=escaped_cmd, returncode=0, stdout="", stderr="")
</code_context>

<issue_to_address>
**security (python.lang.security.audit.dangerous-subprocess-use-audit):** Detected subprocess function 'CompletedProcess' without a static string. If this data can be controlled by a malicious actor, it may be an instance of command injection. Audit the use of this call to ensure it is not controllable by an external resource. You may consider using 'shlex.escape()'.

*Source: opengrep*
</issue_to_address>