Move runpod provider to the correct directory

Also cleanup the test code to avoid skipping tests. Let failures be
known and public.

llama_stack/providers/registry/inference.py

@@ -200,8 +200,8 @@ def available_providers() -> List[ProviderSpec]:
             adapter=AdapterSpec(
                 adapter_type="runpod",
                 pip_packages=["openai"],
-                module="llama_stack.providers.adapters.inference.runpod",
-                config_class="llama_stack.providers.adapters.inference.runpod.RunpodImplConfig",
+                module="llama_stack.providers.remote.inference.runpod",
+                config_class="llama_stack.providers.remote.inference.runpod.RunpodImplConfig",
             ),
         ),
         remote_provider_spec(

llama_stack/providers/remote/inference/runpod/__init__.py

@@ -10,7 +10,7 @@ from .runpod import RunpodInferenceAdapter
 
 async def get_adapter_impl(config: RunpodImplConfig, _deps):
     assert isinstance(
-        config, RunpodImplConfig 
+        config, RunpodImplConfig
     ), f"Unexpected config type: {type(config)}"
     impl = RunpodInferenceAdapter(config)
     await impl.initialize()

llama_stack/providers/remote/inference/runpod/runpod.py

@@ -12,6 +12,7 @@ from llama_models.llama3.api.tokenizer import Tokenizer
 from openai import OpenAI
 
 from llama_stack.apis.inference import *  # noqa: F403
+
 # from llama_stack.providers.datatypes import ModelsProtocolPrivate
 from llama_stack.providers.utils.inference.model_registry import ModelRegistryHelper
 
@@ -40,6 +41,8 @@ RUNPOD_SUPPORTED_MODELS = {
     "Llama3.2-1B": "meta-llama/Llama-3.2-1B",
     "Llama3.2-3B": "meta-llama/Llama-3.2-3B",
 }
+
+
 class RunpodInferenceAdapter(ModelRegistryHelper, Inference):
     def __init__(self, config: RunpodImplConfig) -> None:
         ModelRegistryHelper.__init__(
@@ -130,4 +133,4 @@ class RunpodInferenceAdapter(ModelRegistryHelper, Inference):
         model: str,
         contents: List[InterleavedTextMedia],
     ) -> EmbeddingsResponse:
-        raise NotImplementedError()
+        raise NotImplementedError()

llama_stack/providers/tests/inference/test_text_inference.py

@@ -109,19 +109,6 @@ class TestInference:
     async def test_completion(self, inference_model, inference_stack):
         inference_impl, _ = inference_stack
 
-        provider = inference_impl.routing_table.get_provider_impl(inference_model)
-        if provider.__provider_spec__.provider_type not in (
-            "inline::meta-reference",
-            "remote::ollama",
-            "remote::tgi",
-            "remote::together",
-            "remote::fireworks",
-            "remote::nvidia",
-            "remote::cerebras",
-            "remote::vllm",
-        ):
-            pytest.skip("Other inference providers don't support completion() yet")
-
         response = await inference_impl.completion(
             content="Micheael Jordan is born in ",
             stream=False,
@@ -155,12 +142,6 @@ class TestInference:
     async def test_completion_logprobs(self, inference_model, inference_stack):
         inference_impl, _ = inference_stack
 
-        provider = inference_impl.routing_table.get_provider_impl(inference_model)
-        if provider.__provider_spec__.provider_type not in (
-            # "remote::nvidia", -- provider doesn't provide all logprobs
-        ):
-            pytest.skip("Other inference providers don't support completion() yet")
-
         response = await inference_impl.completion(
             content="Micheael Jordan is born in ",
             stream=False,
@@ -212,21 +193,6 @@ class TestInference:
     async def test_completion_structured_output(self, inference_model, inference_stack):
         inference_impl, _ = inference_stack
 
-        provider = inference_impl.routing_table.get_provider_impl(inference_model)
-        if provider.__provider_spec__.provider_type not in (
-            "inline::meta-reference",
-            "remote::ollama",
-            "remote::tgi",
-            "remote::together",
-            "remote::fireworks",
-            "remote::nvidia",
-            "remote::vllm",
-            "remote::cerebras",
-        ):
-            pytest.skip(
-                "Other inference providers don't support structured output in completions yet"
-            )
-
         class Output(BaseModel):
             name: str
             year_born: str
@@ -275,18 +241,6 @@ class TestInference:
     ):
         inference_impl, _ = inference_stack
 
-        provider = inference_impl.routing_table.get_provider_impl(inference_model)
-        if provider.__provider_spec__.provider_type not in (
-            "inline::meta-reference",
-            "remote::ollama",
-            "remote::fireworks",
-            "remote::tgi",
-            "remote::together",
-            "remote::vllm",
-            "remote::nvidia",
-        ):
-            pytest.skip("Other inference providers don't support structured output yet")
-
         class AnswerFormat(BaseModel):
             first_name: str
             last_name: str
@@ -377,20 +331,6 @@ class TestInference:
         sample_tool_definition,
     ):
         inference_impl, _ = inference_stack
-        provider = inference_impl.routing_table.get_provider_impl(inference_model)
-        if (
-            provider.__provider_spec__.provider_type == "remote::groq"
-            and "Llama-3.2" in inference_model
-        ):
-            # TODO(aidand): Remove this skip once Groq's tool calling for Llama3.2 works better
-            pytest.skip("Groq's tool calling for Llama3.2 doesn't work very well")
-
-        if provider.__provider_spec__.provider_type == "remote::sambanova" and (
-            "-1B-" in inference_model or "-3B-" in inference_model
-        ):
-            # TODO(snova-edawrdm): Remove this skip once SambaNova's tool calling for 1B/ 3B
-            pytest.skip("Sambanova's tool calling for lightweight models don't work")
-
         messages = sample_messages + [
             UserMessage(
                 content="What's the weather like in San Francisco?",
@@ -430,17 +370,6 @@ class TestInference:
         sample_tool_definition,
     ):
         inference_impl, _ = inference_stack
-        provider = inference_impl.routing_table.get_provider_impl(inference_model)
-        if (
-            provider.__provider_spec__.provider_type == "remote::groq"
-            and "Llama-3.2" in inference_model
-        ):
-            # TODO(aidand): Remove this skip once Groq's tool calling for Llama3.2 works better
-            pytest.skip("Groq's tool calling for Llama3.2 doesn't work very well")
-        if provider.__provider_spec__.provider_type == "remote::sambanova":
-            # TODO(snova-edawrdm): Remove this skip once SambaNova's tool calling under streaming is supported (we are working on it)
-            pytest.skip("Sambanova's tool calling for streaming doesn't work")
-
         messages = sample_messages + [
             UserMessage(
                 content="What's the weather like in San Francisco?",

llama_stack/providers/tests/inference/test_vision_inference.py

@@ -51,20 +51,6 @@ class TestVisionModelInference:
         self, inference_model, inference_stack, image, expected_strings
     ):
         inference_impl, _ = inference_stack
-
-        provider = inference_impl.routing_table.get_provider_impl(inference_model)
-        if provider.__provider_spec__.provider_type not in (
-            "inline::meta-reference",
-            "remote::together",
-            "remote::fireworks",
-            "remote::ollama",
-            "remote::vllm",
-            "remote::sambanova",
-        ):
-            pytest.skip(
-                "Other inference providers don't support vision chat completion() yet"
-            )
-
         response = await inference_impl.chat_completion(
             model_id=inference_model,
             messages=[
@@ -92,19 +78,6 @@ class TestVisionModelInference:
     ):
         inference_impl, _ = inference_stack
 
-        provider = inference_impl.routing_table.get_provider_impl(inference_model)
-        if provider.__provider_spec__.provider_type not in (
-            "inline::meta-reference",
-            "remote::together",
-            "remote::fireworks",
-            "remote::ollama",
-            "remote::vllm",
-            "remote::sambanova",
-        ):
-            pytest.skip(
-                "Other inference providers don't support vision chat completion() yet"
-            )
-
         images = [
             ImageContentItem(
                 image=dict(