[bugfix] fix inference sdk test for v1 (#775)

# What does this PR do?
- fixes client sdk tests

## Test Plan

```
LLAMA_STACK_BASE_URL="http://localhost:5000" pytest -v tests/client-sdk/inference/test_inference.py
```

<img width="1359" alt="image"
src="https://github.com/user-attachments/assets/a720e0ca-c441-465e-bc6b-9b98091afa23"
/>


## Sources

Please link relevant resources if necessary.


## Before submitting

- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Ran pre-commit to handle lint / formatting issues.
- [ ] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
      Pull Request section?
- [ ] Updated relevant documentation.
- [ ] Wrote necessary unit or integration tests.

tests/client-sdk/inference/test_inference.py

@@ -28,19 +28,18 @@ def provider_tool_format(inference_provider_type):
 @pytest.fixture(scope="session")
 def inference_provider_type(llama_stack_client):
     providers = llama_stack_client.providers.list()
-    if "inference" not in providers:
-        pytest.fail("No inference providers available")
-    assert len(providers["inference"]) > 0
-    return providers["inference"][0].provider_type
+    assert len(providers.inference) > 0
+    return providers.inference[0]["provider_type"]
 
 
 @pytest.fixture(scope="session")
 def text_model_id(llama_stack_client):
     available_models = [
         model.identifier
-        for model in llama_stack_client.models.list()
+        for model in llama_stack_client.models.list().data
         if model.identifier.startswith("meta-llama") and "405" not in model.identifier
     ]
+    print(available_models)
     assert len(available_models) > 0
     return available_models[0]
 
@@ -49,7 +48,7 @@ def text_model_id(llama_stack_client):
 def vision_model_id(llama_stack_client):
     available_models = [
         model.identifier
-        for model in llama_stack_client.models.list()
+        for model in llama_stack_client.models.list().data
         if "vision" in model.identifier.lower()
     ]
     if len(available_models) == 0:
@@ -245,19 +244,13 @@ def test_text_chat_completion_with_tool_calling_and_non_streaming(
 # The returned tool inovcation content will be a string so it's easy to comapare with expected value
 # e.g. "[get_weather, {'location': 'San Francisco, CA'}]"
 def extract_tool_invocation_content(response):
-    text_content: str = ""
     tool_invocation_content: str = ""
     for chunk in response:
         delta = chunk.event.delta
-        if delta.type == "text":
-            text_content += delta.text
-        elif delta.type == "tool_call":
-            if isinstance(delta.content, str):
-                tool_invocation_content += delta.content
-            else:
-                call = delta.content
-                tool_invocation_content += f"[{call.tool_name}, {call.arguments}]"
-    return text_content, tool_invocation_content
+        if delta.type == "tool_call" and delta.parse_status == "succeeded":
+            call = delta.content
+            tool_invocation_content += f"[{call.tool_name}, {call.arguments}]"
+    return tool_invocation_content
 
 
 def test_text_chat_completion_with_tool_calling_and_streaming(
@@ -274,8 +267,11 @@ def test_text_chat_completion_with_tool_calling_and_streaming(
         tool_prompt_format=provider_tool_format,
         stream=True,
     )
-    text_content, tool_invocation_content = extract_tool_invocation_content(response)
-
+    tool_invocation_content = extract_tool_invocation_content(response)
+    print(
+        "!!!!tool_invocation_content",
+        tool_invocation_content,
+    )
     assert tool_invocation_content == "[get_weather, {'location': 'San Francisco, CA'}]"
 
 
@@ -362,8 +358,8 @@ def test_image_chat_completion_streaming(llama_stack_client, vision_model_id):
         messages=[message],
         stream=True,
     )
-    streamed_content = [
-        str(chunk.event.delta.text.lower().strip()) for chunk in response
-    ]
+    streamed_content = ""
+    for chunk in response:
+        streamed_content += chunk.event.delta.text.lower()
     assert len(streamed_content) > 0
     assert any(expected in streamed_content for expected in {"dog", "puppy", "pup"})