Remove request wrapper migration (#64)

* [1/n] migrate inference/chat_completion

* migrate inference/completion

* inference/completion

* inference regenerate openapi spec

* safety api

* migrate agentic system

* migrate apis without implementations

* re-generate openapi spec

* remove hack from openapi generator

* fix inference

* fix inference

* openapi generator rerun

* Simplified Telemetry API and tying it to logger (#57)

* Simplified Telemetry API and tying it to logger

* small update which adds a METRIC type

* move span events one level down into structured log events

---------

Co-authored-by: Ashwin Bharambe <ashwin@meta.com>

* fix api to work with openapi generator

* fix agentic calling inference

* together adapter inference

* update inference adapters

---------

Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
Co-authored-by: Ashwin Bharambe <ashwin@meta.com>

llama_toolchain/inference/api/api.py

@@ -85,6 +85,8 @@ class CompletionRequest(BaseModel):
 
 @json_schema_type
 class CompletionResponse(BaseModel):
+    """Completion response."""
+
     completion_message: CompletionMessage
     logprobs: Optional[List[TokenLogProbs]] = None
 
@@ -108,6 +110,8 @@ class BatchCompletionRequest(BaseModel):
 
 @json_schema_type
 class BatchCompletionResponse(BaseModel):
+    """Batch completion response."""
+
     completion_message_batch: List[CompletionMessage]
 
 
@@ -137,6 +141,8 @@ class ChatCompletionResponseStreamChunk(BaseModel):
 
 @json_schema_type
 class ChatCompletionResponse(BaseModel):
+    """Chat completion response."""
+
     completion_message: CompletionMessage
     logprobs: Optional[List[TokenLogProbs]] = None
 
@@ -170,13 +176,25 @@ class Inference(Protocol):
     @webmethod(route="/inference/completion")
     async def completion(
         self,
-        request: CompletionRequest,
+        model: str,
+        content: InterleavedTextMedia,
+        sampling_params: Optional[SamplingParams] = SamplingParams(),
+        stream: Optional[bool] = False,
+        logprobs: Optional[LogProbConfig] = None,
     ) -> Union[CompletionResponse, CompletionResponseStreamChunk]: ...
 
     @webmethod(route="/inference/chat_completion")
     async def chat_completion(
         self,
-        request: ChatCompletionRequest,
+        model: str,
+        messages: List[Message],
+        sampling_params: Optional[SamplingParams] = SamplingParams(),
+        # zero-shot tool definitions as input to the model
+        tools: Optional[List[ToolDefinition]] = list,
+        tool_choice: Optional[ToolChoice] = ToolChoice.auto,
+        tool_prompt_format: Optional[ToolPromptFormat] = ToolPromptFormat.json,
+        stream: Optional[bool] = False,
+        logprobs: Optional[LogProbConfig] = None,
     ) -> Union[ChatCompletionResponse, ChatCompletionResponseStreamChunk]: ...
 
     @webmethod(route="/inference/embeddings")