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Feature:Add End Flag in run_sse API Response to Indicate LLM Model Completion #2919

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Feature:Add End Flag in run_sse API Response to Indicate LLM Model Completion #2919

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a6e5454
feat: add customizable memory_service extension for get_fast_api_app
stonyme Sep 10, 2025
e34aec6
fix: improve type hint for memory_service parameter
stonyme Sep 10, 2025
2337eb0
feature:add session end marker, when llm final response
stonyme Sep 11, 2025
add5f8c
define SSE 'done' message as a constant
stonyme Sep 11, 2025
04204f6
Merge branch 'main' into feature/add-session-end-marker
stonyme Sep 12, 2025
261ddd6
Merge branch 'main' into feature/add-session-end-marker
stonyme Sep 12, 2025
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3 changes: 3 additions & 0 deletions src/google/adk/cli/adk_web_server.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1068,10 +1068,13 @@ async def event_generator():
sse_event = event.model_dump_json(
exclude_none=True, by_alias=True
)
SSE_DONE_MESSAGE = 'data: {"done": true}\n\n'
logger.debug(
"Generated event in agent run streaming: %s", sse_event
)
yield f"data: {sse_event}\n\n"
# Add done flag when all data has been sent
yield SSE_DONE_MESSAGE
except Exception as e:
logger.exception("Error in event_generator: %s", e)
# You might want to yield an error event here
Expand Down
6 changes: 5 additions & 1 deletion src/google/adk/cli/fast_api.py
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Expand Up @@ -38,6 +38,7 @@
from ..auth.credential_service.in_memory_credential_service import InMemoryCredentialService
from ..evaluation.local_eval_set_results_manager import LocalEvalSetResultsManager
from ..evaluation.local_eval_sets_manager import LocalEvalSetsManager
from ..memory.base_memory_service import BaseMemoryService
from ..memory.in_memory_memory_service import InMemoryMemoryService
from ..memory.vertex_ai_memory_bank_service import VertexAiMemoryBankService
from ..runners import Runner
Expand All @@ -60,6 +61,7 @@ def get_fast_api_app(
session_db_kwargs: Optional[Mapping[str, Any]] = None,
artifact_service_uri: Optional[str] = None,
memory_service_uri: Optional[str] = None,
memory_service: Optional[BaseMemoryService] = None,
eval_storage_uri: Optional[str] = None,
allow_origins: Optional[list[str]] = None,
web: bool,
Expand Down Expand Up @@ -107,7 +109,9 @@ def _parse_agent_engine_resource_name(agent_engine_id_or_resource_name):
return project, location, agent_engine_id

# Build the Memory service
if memory_service_uri:
if memory_service:
pass
elif memory_service_uri:
if memory_service_uri.startswith("rag://"):
from ..memory.vertex_ai_rag_memory_service import VertexAiRagMemoryService

Expand Down