diff --git a/litellm/cost_calculator.py b/litellm/cost_calculator.py
index a40a8e1389c..8886759d40d 100644
--- a/litellm/cost_calculator.py
+++ b/litellm/cost_calculator.py
@@ -19,6 +19,7 @@ from litellm.litellm_core_utils.llm_cost_calc.tool_call_cost_tracking import (
     StandardBuiltInToolCostTracking,
 )
 from litellm.litellm_core_utils.llm_cost_calc.usage_object_transformation import (
+    InteractionsUsageObjectTransformation,
     TranscriptionUsageObjectTransformation,
 )
 from litellm.litellm_core_utils.llm_cost_calc.utils import (
@@ -899,6 +900,8 @@ def _get_usage_object(
                 usage_obj,
             )
         )
+    elif isinstance(usage_obj, dict) and InteractionsUsageObjectTransformation.is_interactions_usage_dict(usage_obj):
+        return InteractionsUsageObjectTransformation.transform_interactions_usage_to_chat_usage(usage_obj)
     elif isinstance(usage_obj, dict):
         return Usage(**usage_obj)
     elif isinstance(usage_obj, BaseModel):
@@ -1267,6 +1270,12 @@ def completion_cost(
                         )
                         if tr_usage is not None:
                             _usage = tr_usage.model_dump()
+                    elif isinstance(_usage, dict) and InteractionsUsageObjectTransformation.is_interactions_usage_dict(
+                        _usage
+                    ):
+                        _usage = InteractionsUsageObjectTransformation.transform_interactions_usage_to_chat_usage(
+                            _usage
+                        ).model_dump()
                     else:
                         _usage = _usage
 
diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index 461ab62b815..36876ce11ff 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -77,9 +77,13 @@ from litellm.litellm_core_utils.redact_messages import (
 )
 from litellm.llms.base_llm.ocr.transformation import OCRResponse
 from litellm.llms.base_llm.search.transformation import SearchResponse
+from litellm.litellm_core_utils.llm_cost_calc.usage_object_transformation import (
+    InteractionsUsageObjectTransformation,
+)
 from litellm.responses.utils import ResponseAPILoggingUtils
 from litellm.types.agents import LiteLLMSendMessageResponse
 from litellm.types.containers.main import ContainerObject
+from litellm.types.interactions import InteractionsAPIResponse, InteractionsAPIStreamingResponse
 from litellm.types.llms.openai import (
     AllMessageValues,
     Batch,
@@ -1675,6 +1679,9 @@ class Logging(LiteLLMLoggingBaseClass):
                 results=result,
             )
 
+        elif self._is_interactions_create_call_type() and isinstance(result, InteractionsAPIStreamingResponse):
+            logging_result = self._interactions_streaming_result_as_response(result)
+
         elif (
             self.call_type == CallTypes.llm_passthrough_route.value
             or self.call_type == CallTypes.allm_passthrough_route.value
@@ -1696,6 +1703,28 @@ class Logging(LiteLLMLoggingBaseClass):
                 )
         return logging_result
 
+    def _is_interactions_create_call_type(self) -> bool:
+        return self.call_type in (
+            CallTypes.create_interaction.value,
+            CallTypes.acreate_interaction.value,
+        )
+
+    def _interactions_streaming_result_as_response(
+        self, result: InteractionsAPIStreamingResponse
+    ) -> InteractionsAPIResponse:
+        interaction = result.interaction if isinstance(result.interaction, dict) else {}
+        return InteractionsAPIResponse(
+            id=interaction.get("id") or result.id or result.interaction_id,
+            model=interaction.get("model") or result.model,
+            agent=interaction.get("agent") or result.agent,
+            status=interaction.get("status") or result.status,
+            created=interaction.get("created") or result.created,
+            updated=interaction.get("updated") or result.updated,
+            outputs=interaction.get("outputs") or result.outputs,
+            steps=interaction.get("steps") or result.steps,
+            usage=interaction.get("usage") or result.usage,
+        )
+
     def _merge_hidden_params_from_response_into_metadata(self, logging_result: Any) -> None:
         """
         Copy response._hidden_params into litellm_params.metadata['hidden_params'].
@@ -1787,6 +1816,20 @@ class Logging(LiteLLMLoggingBaseClass):
                         else dict(transformed_usage)
                     )
                 standard_logging_payload["response"] = response_dict
+        elif isinstance(result, InteractionsAPIResponse):
+            result = result.model_copy()
+            transformed_usage = InteractionsUsageObjectTransformation.transform_interactions_usage_to_chat_usage(
+                result.usage
+            )
+            setattr(result, "usage", transformed_usage)
+            if (standard_logging_payload := self.model_call_details.get("standard_logging_object")) is not None:
+                response_dict = result.model_dump() if hasattr(result, "model_dump") else dict(result)
+                response_dict["usage"] = (
+                    transformed_usage.model_dump()
+                    if hasattr(transformed_usage, "model_dump")
+                    else dict(transformed_usage)
+                )
+                standard_logging_payload["response"] = response_dict
         elif isinstance(result, TranscriptionResponse):
             from litellm.litellm_core_utils.llm_cost_calc.usage_object_transformation import (
                 TranscriptionUsageObjectTransformation,
@@ -1832,7 +1875,14 @@ class Logging(LiteLLMLoggingBaseClass):
 
             logging_result = self.normalize_logging_result(result=result)
 
-            if standard_logging_object is None and result is not None and self.stream is not True:
+            is_final_interactions_stream_result = self._is_interactions_create_call_type() and isinstance(
+                logging_result, InteractionsAPIResponse
+            )
+            if (
+                standard_logging_object is None
+                and result is not None
+                and (self.stream is not True or is_final_interactions_stream_result)
+            ):
                 if self._is_recognized_call_type_for_logging(logging_result=logging_result) or isinstance(
                     logging_result, (dict, list)
                 ):
@@ -1888,6 +1938,7 @@ class Logging(LiteLLMLoggingBaseClass):
             or isinstance(logging_result, FineTuningJob)
             or isinstance(logging_result, LiteLLMBatch)
             or isinstance(logging_result, ResponsesAPIResponse)
+            or (isinstance(logging_result, InteractionsAPIResponse) and self._is_interactions_create_call_type())
             or isinstance(logging_result, OpenAIFileObject)
             or isinstance(logging_result, LiteLLMRealtimeStreamLoggingObject)
             or isinstance(logging_result, OpenAIModerationResponse)
@@ -4687,6 +4738,8 @@ class StandardLoggingPayloadSetup:
         elif isinstance(usage, dict):
             if ResponseAPILoggingUtils._is_response_api_usage(usage):
                 return ResponseAPILoggingUtils._transform_response_api_usage_to_chat_usage(usage)
+            if InteractionsUsageObjectTransformation.is_interactions_usage_dict(usage):
+                return InteractionsUsageObjectTransformation.transform_interactions_usage_to_chat_usage(usage)
             return Usage(**usage)
 
         raise ValueError(f"usage is required, got={usage} of type {type(usage)}")
@@ -4713,6 +4766,10 @@ class StandardLoggingPayloadSetup:
         if isinstance(_raw, dict):
             if ResponseAPILoggingUtils._is_response_api_usage(_raw):
                 return ResponseAPILoggingUtils._transform_response_api_usage_to_chat_usage(_raw).model_dump()
+            if InteractionsUsageObjectTransformation.is_interactions_usage_dict(_raw):
+                return InteractionsUsageObjectTransformation.transform_interactions_usage_to_chat_usage(
+                    _raw
+                ).model_dump()
             return _raw
         if isinstance(_raw, Usage):
             return _raw.model_dump()
diff --git a/litellm/litellm_core_utils/llm_cost_calc/usage_object_transformation.py b/litellm/litellm_core_utils/llm_cost_calc/usage_object_transformation.py
index 1c6adbec174..a592c5557db 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/usage_object_transformation.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/usage_object_transformation.py
@@ -1,6 +1,7 @@
-from typing import Any, Optional, Union
+from typing import Any, Mapping, Optional, Sequence, Union
 
 from litellm.types.utils import (
+    CompletionTokensDetailsWrapper,
     PromptTokensDetailsWrapper,
     TranscriptionUsageDurationObject,
     TranscriptionUsageTokensObject,
@@ -34,3 +35,62 @@ class TranscriptionUsageObjectTransformation:
                 ),
             )
         return None
+
+
+def _coerce_optional_token_count(value: object) -> int:
+    return value if isinstance(value, int) else 0
+
+
+def _tokens_by_modality(modality_entries: object) -> Mapping[str, int]:
+    if not isinstance(modality_entries, Sequence):
+        return {}
+    return {
+        str(entry.get("modality") or "").lower(): _coerce_optional_token_count(entry.get("tokens"))
+        for entry in modality_entries
+        if isinstance(entry, Mapping)
+    }
+
+
+class InteractionsUsageObjectTransformation:
+    @staticmethod
+    def is_interactions_usage_dict(usage_object: Mapping[str, Any]) -> bool:
+        return (
+            "total_input_tokens" in usage_object
+            or "total_output_tokens" in usage_object
+            or "input_tokens_by_modality" in usage_object
+            or "output_tokens_by_modality" in usage_object
+        )
+
+    @staticmethod
+    def transform_interactions_usage_to_chat_usage(
+        usage_object: "Mapping[str, Any] | None",
+    ) -> Usage:
+        usage = usage_object or {}
+        input_tokens_by_modality = _tokens_by_modality(usage.get("input_tokens_by_modality"))
+        output_tokens_by_modality = _tokens_by_modality(usage.get("output_tokens_by_modality"))
+        prompt_tokens = _coerce_optional_token_count(usage.get("total_input_tokens"))
+        reasoning_tokens = _coerce_optional_token_count(
+            usage.get("total_thought_tokens") or usage.get("total_reasoning_tokens")
+        )
+        completion_tokens = _coerce_optional_token_count(usage.get("total_output_tokens")) + reasoning_tokens
+        cached_tokens = _coerce_optional_token_count(usage.get("total_cached_tokens"))
+        total_tokens = _coerce_optional_token_count(usage.get("total_tokens")) or (prompt_tokens + completion_tokens)
+        return Usage(
+            prompt_tokens=prompt_tokens,
+            completion_tokens=completion_tokens,
+            total_tokens=total_tokens,
+            prompt_tokens_details=PromptTokensDetailsWrapper(
+                cached_tokens=cached_tokens,
+                text_tokens=input_tokens_by_modality.get("text"),
+                image_tokens=input_tokens_by_modality.get("image"),
+                audio_tokens=input_tokens_by_modality.get("audio"),
+                video_tokens=input_tokens_by_modality.get("video"),
+            ),
+            completion_tokens_details=CompletionTokensDetailsWrapper(
+                reasoning_tokens=reasoning_tokens,
+                text_tokens=output_tokens_by_modality.get("text"),
+                image_tokens=output_tokens_by_modality.get("image"),
+                audio_tokens=output_tokens_by_modality.get("audio"),
+                video_tokens=output_tokens_by_modality.get("video"),
+            ),
+        )
diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index 90ea99ceb23..0fafd4a27fe 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -396,6 +396,12 @@ class CallTypes(str, Enum):
     vector_store_search = "vector_store_search"
     avector_store_search = "avector_store_search"
 
+    #########################################################
+    # Google Interactions API Call Types
+    #########################################################
+    create_interaction = "create_interaction"
+    acreate_interaction = "acreate_interaction"
+
     #########################################################
     # Container Call Types
     #########################################################
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index 5629cd6c8d4..59c0532ccbe 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -21685,7 +21685,7 @@ export interface components {
          * CallTypes
          * @enum {string}
          */
-        CallTypes: "embedding" | "aembedding" | "completion" | "acompletion" | "atext_completion" | "text_completion" | "image_generation" | "aimage_generation" | "image_edit" | "aimage_edit" | "moderation" | "amoderation" | "atranscription" | "transcription" | "aspeech" | "speech" | "rerank" | "arerank" | "search" | "asearch" | "_arealtime" | "_aresponses_websocket" | "create_batch" | "acreate_batch" | "aretrieve_batch" | "retrieve_batch" | "acancel_batch" | "cancel_batch" | "pass_through_endpoint" | "anthropic_messages" | "get_assistants" | "aget_assistants" | "create_assistants" | "acreate_assistants" | "delete_assistant" | "adelete_assistant" | "acreate_thread" | "create_thread" | "aget_thread" | "get_thread" | "a_add_message" | "add_message" | "aget_messages" | "get_messages" | "arun_thread" | "run_thread" | "arun_thread_stream" | "run_thread_stream" | "afile_retrieve" | "file_retrieve" | "afile_delete" | "file_delete" | "afile_list" | "file_list" | "acreate_file" | "create_file" | "afile_content" | "file_content" | "create_fine_tuning_job" | "acreate_fine_tuning_job" | "create_video" | "acreate_video" | "avideo_retrieve" | "video_retrieve" | "avideo_content" | "video_content" | "video_remix" | "avideo_remix" | "video_list" | "avideo_list" | "video_retrieve_job" | "avideo_retrieve_job" | "video_delete" | "avideo_delete" | "video_create_character" | "avideo_create_character" | "video_get_character" | "avideo_get_character" | "video_edit" | "avideo_edit" | "video_extension" | "avideo_extension" | "vector_store_file_create" | "avector_store_file_create" | "vector_store_file_list" | "avector_store_file_list" | "vector_store_file_retrieve" | "avector_store_file_retrieve" | "vector_store_file_content" | "avector_store_file_content" | "vector_store_file_update" | "avector_store_file_update" | "vector_store_file_delete" | "avector_store_file_delete" | "vector_store_create" | "avector_store_create" | "vector_store_search" | "avector_store_search" | "create_container" | "acreate_container" | "list_containers" | "alist_containers" | "retrieve_container" | "aretrieve_container" | "delete_container" | "adelete_container" | "list_container_files" | "alist_container_files" | "upload_container_file" | "aupload_container_file" | "create_sandbox" | "acreate_sandbox" | "delete_sandbox" | "adelete_sandbox" | "run_code" | "arun_code" | "code_interpreter_tool" | "acode_interpreter_tool" | "acancel_fine_tuning_job" | "cancel_fine_tuning_job" | "alist_fine_tuning_jobs" | "list_fine_tuning_jobs" | "aretrieve_fine_tuning_job" | "retrieve_fine_tuning_job" | "responses" | "aresponses" | "alist_input_items" | "llm_passthrough_route" | "allm_passthrough_route" | "generate_content" | "agenerate_content" | "generate_content_stream" | "agenerate_content_stream" | "ocr" | "aocr" | "call_mcp_tool" | "list_mcp_tools" | "asend_message" | "send_message" | "acreate_skill";
+        CallTypes: "embedding" | "aembedding" | "completion" | "acompletion" | "atext_completion" | "text_completion" | "image_generation" | "aimage_generation" | "image_edit" | "aimage_edit" | "moderation" | "amoderation" | "atranscription" | "transcription" | "aspeech" | "speech" | "rerank" | "arerank" | "search" | "asearch" | "_arealtime" | "_aresponses_websocket" | "create_batch" | "acreate_batch" | "aretrieve_batch" | "retrieve_batch" | "acancel_batch" | "cancel_batch" | "pass_through_endpoint" | "anthropic_messages" | "get_assistants" | "aget_assistants" | "create_assistants" | "acreate_assistants" | "delete_assistant" | "adelete_assistant" | "acreate_thread" | "create_thread" | "aget_thread" | "get_thread" | "a_add_message" | "add_message" | "aget_messages" | "get_messages" | "arun_thread" | "run_thread" | "arun_thread_stream" | "run_thread_stream" | "afile_retrieve" | "file_retrieve" | "afile_delete" | "file_delete" | "afile_list" | "file_list" | "acreate_file" | "create_file" | "afile_content" | "file_content" | "create_fine_tuning_job" | "acreate_fine_tuning_job" | "create_video" | "acreate_video" | "avideo_retrieve" | "video_retrieve" | "avideo_content" | "video_content" | "video_remix" | "avideo_remix" | "video_list" | "avideo_list" | "video_retrieve_job" | "avideo_retrieve_job" | "video_delete" | "avideo_delete" | "video_create_character" | "avideo_create_character" | "video_get_character" | "avideo_get_character" | "video_edit" | "avideo_edit" | "video_extension" | "avideo_extension" | "vector_store_file_create" | "avector_store_file_create" | "vector_store_file_list" | "avector_store_file_list" | "vector_store_file_retrieve" | "avector_store_file_retrieve" | "vector_store_file_content" | "avector_store_file_content" | "vector_store_file_update" | "avector_store_file_update" | "vector_store_file_delete" | "avector_store_file_delete" | "vector_store_create" | "avector_store_create" | "vector_store_search" | "avector_store_search" | "create_interaction" | "acreate_interaction" | "create_container" | "acreate_container" | "list_containers" | "alist_containers" | "retrieve_container" | "aretrieve_container" | "delete_container" | "adelete_container" | "list_container_files" | "alist_container_files" | "upload_container_file" | "aupload_container_file" | "create_sandbox" | "acreate_sandbox" | "delete_sandbox" | "adelete_sandbox" | "run_code" | "arun_code" | "code_interpreter_tool" | "acode_interpreter_tool" | "acancel_fine_tuning_job" | "cancel_fine_tuning_job" | "alist_fine_tuning_jobs" | "list_fine_tuning_jobs" | "aretrieve_fine_tuning_job" | "retrieve_fine_tuning_job" | "responses" | "aresponses" | "alist_input_items" | "llm_passthrough_route" | "allm_passthrough_route" | "generate_content" | "agenerate_content" | "generate_content_stream" | "agenerate_content_stream" | "ocr" | "aocr" | "call_mcp_tool" | "list_mcp_tools" | "asend_message" | "send_message" | "acreate_skill";
         /** CallbackDelete */
         CallbackDelete: {
             /** Callback Name */