fix: litellm tool call parsing event type to in_progress (#1312)

# What does this PR do?

- Test with script:
https://gist.github.com/yanxi0830/64699f3604766ac2319421b750c5bf9c

- Agent with tool calls does not get correctly parsed with LiteLLM
provider b/c we skip processing
`ChatCompletionResponseEventType.complete`.
- However, LiteLLM spits out event_type="complete" with ToolCallDelta


2f7683bc5f/llama_stack/providers/inline/agents/meta_reference/agent_instance.py (L570-L577)


- Llama Model
```
ChatCompletionResponseStreamChunk(
│   event=Event(
│   │   delta=ToolCallDelta(
│   │   │   parse_status='succeeded',
│   │   │   tool_call=ToolCall(
│   │   │   │   arguments={'kind': 'pod', 'namespace': 'openshift-lightspeed'},
│   │   │   │   call_id='call_tIjWTUdsQXhQ2XHC5ke4EQY5',
│   │   │   │   tool_name='get_object_namespace_list'
│   │   │   ),
│   │   │   type='tool_call'
│   │   ),
│   │   event_type='progress',
│   │   logprobs=None,
│   │   stop_reason='end_of_turn'
│   ),
│   metrics=None
)
ChatCompletionResponseStreamChunk(
│   event=Event(
│   │   delta=TextDelta(text='', type='text'),
│   │   event_type='complete',
│   │   logprobs=None,
│   │   stop_reason='end_of_turn'
│   ),
│   metrics=None
)
```

- LiteLLM model
```
ChatCompletionResponseStreamChunk(
│   event=Event(
│   │   delta=ToolCallDelta(
│   │   │   parse_status='succeeded',
│   │   │   tool_call=ToolCall(
│   │   │   │   arguments={'kind': 'pod', 'namespace': 'openshift-lightspeed'},
│   │   │   │   call_id='call_tIjWTUdsQXhQ2XHC5ke4EQY5',
│   │   │   │   tool_name='get_object_namespace_list'
│   │   │   ),
│   │   │   type='tool_call'
│   │   ),
│   │   event_type='complete',
│   │   logprobs=None,
│   │   stop_reason='end_of_turn'
│   ),
│   metrics=None
)
ChatCompletionResponseStreamChunk(
│   event=Event(
│   │   delta=TextDelta(text='', type='text'),
│   │   event_type='complete',
│   │   logprobs=None,
│   │   stop_reason='end_of_turn'
│   ),
│   metrics=None
)
```


[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])

## Test Plan

- Test with script:
https://gist.github.com/yanxi0830/64699f3604766ac2319421b750c5bf9c


[//]: # (## Documentation)

llama_stack/providers/utils/inference/openai_compat.py

@@ -27,7 +27,9 @@ from openai.types.chat import (
 from openai.types.chat import (
     ChatCompletionMessageParam as OpenAIChatCompletionMessage,
 )
-from openai.types.chat import ChatCompletionMessageToolCall
+from openai.types.chat import (
+    ChatCompletionMessageToolCall,
+)
 from openai.types.chat import (
     ChatCompletionMessageToolCallParam as OpenAIChatCompletionMessageToolCall,
 )
@@ -199,7 +201,9 @@ def convert_openai_completion_logprobs_stream(text: str, logprobs: Optional[Unio
     return None
 
 
-def process_completion_response(response: OpenAICompatCompletionResponse) -> CompletionResponse:
+def process_completion_response(
+    response: OpenAICompatCompletionResponse,
+) -> CompletionResponse:
     choice = response.choices[0]
     # drop suffix <eot_id> if present and return stop reason as end of turn
     if choice.text.endswith("<|eot_id|>"):
@@ -492,7 +496,9 @@ class UnparseableToolCall(BaseModel):
     arguments: str = ""
 
 
-async def convert_message_to_openai_dict_new(message: Message | Dict) -> OpenAIChatCompletionMessage:
+async def convert_message_to_openai_dict_new(
+    message: Message | Dict,
+) -> OpenAIChatCompletionMessage:
     """
     Convert a Message to an OpenAI API-compatible dictionary.
     """
@@ -942,7 +948,7 @@ async def convert_openai_chat_completion_stream(
             )
             yield ChatCompletionResponseStreamChunk(
                 event=ChatCompletionResponseEvent(
-                    event_type=ChatCompletionResponseEventType.complete,
+                    event_type=ChatCompletionResponseEventType.progress,
                     delta=ToolCallDelta(
                         tool_call=tool_call,
                         parse_status=ToolCallParseStatus.succeeded,