add message type literal to usage stats

letta/client/streaming.py

@@ -59,8 +59,8 @@ def _sse_post(url: str, data: dict, headers: dict) -> Generator[LettaStreamingRe
                             yield ToolCallMessage(**chunk_data)
                         elif "tool_return" in chunk_data:
                             yield ToolReturnMessage(**chunk_data)
-                        elif "usage" in chunk_data:
-                            yield LettaUsageStatistics(**chunk_data["usage"])
+                        elif "step_count" in chunk_data:
+                            yield LettaUsageStatistics(**chunk_data)
                         else:
                             raise ValueError(f"Unknown message type in chunk_data: {chunk_data}")
 

letta/schemas/usage.py

@@ -1,3 +1,4 @@
+from typing import Literal
 from pydantic import BaseModel, Field
 
 
@@ -11,7 +12,7 @@ class LettaUsageStatistics(BaseModel):
         total_tokens (int): The total number of tokens processed by the agent.
         step_count (int): The number of steps taken by the agent.
     """
-
+    message_type: Literal["usage_statistics"] = "usage_statistics"
     completion_tokens: int = Field(0, description="The number of tokens generated by the agent.")
     prompt_tokens: int = Field(0, description="The number of tokens in the prompt.")
     total_tokens: int = Field(0, description="The total number of tokens processed by the agent.")

letta/server/rest_api/utils.py

@@ -61,7 +61,7 @@ async def sse_async_generator(
                 # Double-check the type
                 if not isinstance(usage, LettaUsageStatistics):
                     raise ValueError(f"Expected LettaUsageStatistics, got {type(usage)}")
-                yield sse_formatter({"usage": usage.model_dump()})
+                yield sse_formatter(usage.model_dump())
 
             except ContextWindowExceededError as e:
                 log_error_to_sentry(e)