feat: add max-duration-ms=-1 support

src/inference_endpoint/config/runtime_settings.py

@@ -152,7 +152,9 @@ def _from_config_default(
             "metric_target": metrics.Throughput(effective_qps),
             "reported_metrics": [metrics.Throughput(effective_qps)],
             "min_duration_ms": runtime_cfg.min_duration_ms,
-            "max_duration_ms": runtime_cfg.max_duration_ms,
+            "max_duration_ms": None
+            if runtime_cfg.max_duration_ms == 0
+            else runtime_cfg.max_duration_ms,
             "n_samples_from_dataset": dataloader_num_samples,
             "n_samples_to_issue": runtime_cfg.n_samples_to_issue,  # From config (CLI --num-samples or YAML)
             "min_sample_count": 1,

src/inference_endpoint/config/schema.py

@@ -312,7 +312,9 @@ class RuntimeConfig(BaseModel):
         ),
     ] = Field(600000, ge=0)
     max_duration_ms: int = Field(
-        1800000, ge=0, description="Maximum test duration in ms"
+        0,
+        ge=0,
+        description="Maximum test duration in ms (0 for no limit)",
     )
 
     @field_validator("min_duration_ms", "max_duration_ms", mode="before")
@@ -338,7 +340,7 @@ def _parse_duration_suffix(cls, v: object) -> object:
 
     @model_validator(mode="after")
     def _validate_durations(self) -> Self:
-        if self.max_duration_ms < self.min_duration_ms:
+        if self.max_duration_ms != 0 and self.max_duration_ms < self.min_duration_ms:
             raise ValueError(
                 f"max_duration_ms ({self.max_duration_ms}) must be >= "
                 f"min_duration_ms ({self.min_duration_ms})"

tests/unit/config/test_schema.py

@@ -228,6 +228,17 @@ def test_max_lt_min_duration_rejected(self):
                 },
             )
 
+    @pytest.mark.unit
+    def test_max_duration_below_zero_rejected(self):
+        with pytest.raises(ValueError, match="greater than or equal to 0"):
+            BenchmarkConfig(
+                type=TestType.OFFLINE,
+                model_params={"name": "M"},
+                endpoint_config={"endpoints": ["http://x"]},
+                datasets=[{"path": "D"}],
+                settings={"runtime": {"max_duration_ms": -1}},
+            )
+
     @pytest.mark.unit
     def test_submission_bad_benchmark_mode(self):
         with pytest.raises(ValueError, match="benchmark_mode"):
@@ -343,6 +354,20 @@ def test_to_yaml_file(self, tmp_path):
         loaded = BenchmarkConfig.from_yaml_file(out)
         assert loaded.model_params.name == "M"
 
+    @pytest.mark.unit
+    def test_max_duration_zero_converts_to_none_in_runtime_settings(self):
+        from inference_endpoint.config.runtime_settings import RuntimeSettings
+
+        config = BenchmarkConfig(
+            type=TestType.OFFLINE,
+            model_params={"name": "M"},
+            endpoint_config={"endpoints": ["http://x"]},
+            datasets=[{"path": "D"}],
+            settings={"runtime": {"max_duration_ms": 0}},
+        )
+        rt = RuntimeSettings.from_config(config, dataloader_num_samples=100)
+        assert rt.max_duration_ms is None
+
     @pytest.mark.unit
     def test_from_yaml_file_not_found(self):
         from pathlib import Path