Improve LLM call metadata (#10004)

Co-authored-by: openhands <openhands@all-hands.dev>

openhands/memory/condenser/condenser.py

@@ -8,6 +8,7 @@ from pydantic import BaseModel
 
 from openhands.controller.state.state import State
 from openhands.core.config.condenser_config import CondenserConfig
+from openhands.core.logger import openhands_logger as logger
 from openhands.events.action.agent import CondensationAction
 from openhands.memory.view import View
 
@@ -101,10 +102,29 @@ class Condenser(ABC):
 
     def condensed_history(self, state: State) -> View | Condensation:
         """Condense the state's history."""
-        self._llm_metadata = state.to_llm_metadata('condenser')
+        if hasattr(self, 'llm'):
+            model_name = self.llm.config.model
+        else:
+            model_name = 'unknown'
+
+        self._llm_metadata = state.to_llm_metadata(
+            model_name=model_name, agent_name='condenser'
+        )
         with self.metadata_batch(state):
             return self.condense(state.view)
 
+    @property
+    def llm_metadata(self) -> dict[str, Any]:
+        """Metadata to be passed to the LLM when using this condenser.
+
+        This metadata is used to provide context about the condensation process and can be used by the LLM to understand how the history was condensed.
+        """
+        if not self._llm_metadata:
+            logger.warning(
+                'LLM metadata is empty. Ensure to set it in the condenser implementation.'
+            )
+        return self._llm_metadata
+
     @classmethod
     def register_config(cls, configuration_type: type[CondenserConfig]) -> None:
         """Register a new condenser configuration type.

openhands/memory/condenser/impl/llm_summarizing_condenser.py

@@ -133,7 +133,7 @@ CURRENT_STATE: Last flip: Heads, Haiku count: 15/20"""
 
         response = self.llm.completion(
             messages=self.llm.format_messages_for_llm(messages),
-            extra_body={'metadata': self._llm_metadata},
+            extra_body={'metadata': self.llm_metadata},
         )
         summary = response.choices[0].message.content