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Merge 8c84e0fe45 into 4d86b728dd
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commit
89c34fcc8e
2 changed files with 149 additions and 12 deletions
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@ -387,8 +387,14 @@ class SupermemoryCartesiaAgent:
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Yields:
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Output events from the wrapped agent.
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"""
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try:
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if type(event).__name__ == "UserTurnEnded":
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# Memory enrichment must never prevent the agent from running, so it
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# gets its own guard. The agent iteration stays outside of it: with
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# the old whole-body try/except, an agent error raised mid-stream
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# (after some chunks were already yielded) triggered a fallback that
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# re-ran the entire agent — duplicating the visible response and the
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# LLM call.
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if type(event).__name__ == "UserTurnEnded":
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try:
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logger.info("[Supermemory] Processing UserTurnEnded event")
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event, memory_context = await self._enrich_event_with_memories(event)
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@ -433,17 +439,13 @@ class SupermemoryCartesiaAgent:
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self._background_tasks.add(task)
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task.add_done_callback(self._background_tasks.discard)
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self._messages_sent_count = 1 # CRITICAL: Increment counter to prevent duplicate storage
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except Exception as e:
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logger.error(f"[Supermemory] Error in memory enrichment: {e}")
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async for output in self.agent.process(env, event):
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yield output
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else:
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async for output in self.agent.process(env, event):
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yield output
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except Exception as e:
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logger.error(f"[Supermemory] Error in process: {e}")
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async for output in self.agent.process(env, event):
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yield output
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# Run the wrapped agent exactly once; its errors propagate to the
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# caller instead of triggering a duplicate run.
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async for output in self.agent.process(env, event):
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yield output
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def reset_memory_tracking(self) -> None:
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"""Reset memory tracking for a new conversation."""
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135
packages/cartesia-sdk-python/tests/test_single_agent_run.py
Normal file
135
packages/cartesia-sdk-python/tests/test_single_agent_run.py
Normal file
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@ -0,0 +1,135 @@
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"""Regression tests: the wrapped agent must run exactly once per event.
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The whole body of process() used to sit in one try/except whose fallback
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re-invoked self.agent.process(). An agent error raised mid-stream — after
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chunks had already been yielded to the caller — therefore re-ran the entire
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agent: duplicated visible output and a duplicate LLM call. Memory-enrichment
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failures are the only thing the fallback was meant to absorb.
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"""
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from __future__ import annotations
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import sys
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import types
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import unittest
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from types import SimpleNamespace
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from unittest.mock import AsyncMock
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def _install_test_stubs() -> None:
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if "loguru" not in sys.modules:
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loguru_module = types.ModuleType("loguru")
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class _Logger:
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def info(self, *_args, **_kwargs):
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return None
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def debug(self, *_args, **_kwargs):
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return None
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def warning(self, *_args, **_kwargs):
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return None
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def error(self, *_args, **_kwargs):
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return None
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loguru_module.logger = _Logger()
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sys.modules["loguru"] = loguru_module
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if "pydantic" not in sys.modules:
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pydantic_module = types.ModuleType("pydantic")
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class BaseModel:
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def __init__(self, **kwargs):
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for key, value in kwargs.items():
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setattr(self, key, value)
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def Field(*, default=None, **_kwargs):
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return default
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pydantic_module.BaseModel = BaseModel
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pydantic_module.Field = Field
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sys.modules["pydantic"] = pydantic_module
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_install_test_stubs()
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from supermemory_cartesia.agent import SupermemoryCartesiaAgent
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class _StreamingAgent:
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"""Inner agent that yields chunks; optionally dies mid-stream."""
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def __init__(self, fail_after_chunks: bool = False):
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self.fail_after_chunks = fail_after_chunks
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self.run_count = 0
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async def process(self, env, event):
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self.run_count += 1
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yield "chunk-1"
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yield "chunk-2"
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if self.fail_after_chunks:
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raise RuntimeError("stream dropped")
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def _wrap(inner):
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return SupermemoryCartesiaAgent(
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agent=inner,
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api_key="mock_key",
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container_tag="user-123",
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custom_id="conversation-456",
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)
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def _user_turn_ended_event():
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return type("UserTurnEnded", (), {})()
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class TestSingleAgentRun(unittest.IsolatedAsyncioTestCase):
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async def test_mid_stream_agent_error_is_not_retried(self) -> None:
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inner = _StreamingAgent(fail_after_chunks=True)
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wrapper = _wrap(inner)
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outputs = []
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with self.assertRaises(RuntimeError):
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async for out in wrapper.process(None, SimpleNamespace()):
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outputs.append(out)
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# The caller saw each chunk exactly once and the agent ran once —
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# no duplicated response, no duplicate LLM call.
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self.assertEqual(outputs, ["chunk-1", "chunk-2"])
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self.assertEqual(inner.run_count, 1)
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async def test_mid_stream_error_on_user_turn_is_not_retried(self) -> None:
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inner = _StreamingAgent(fail_after_chunks=True)
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wrapper = _wrap(inner)
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wrapper._enrich_event_with_memories = AsyncMock(
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side_effect=lambda event: (event, None)
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)
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outputs = []
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with self.assertRaises(RuntimeError):
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async for out in wrapper.process(None, _user_turn_ended_event()):
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outputs.append(out)
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self.assertEqual(outputs, ["chunk-1", "chunk-2"])
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self.assertEqual(inner.run_count, 1)
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async def test_enrichment_failure_still_runs_agent_once(self) -> None:
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inner = _StreamingAgent()
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wrapper = _wrap(inner)
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wrapper._enrich_event_with_memories = AsyncMock(
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side_effect=RuntimeError("enrichment exploded")
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)
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outputs = [
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out async for out in wrapper.process(None, _user_turn_ended_event())
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]
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# Memory failure is absorbed; the agent still runs, exactly once.
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self.assertEqual(outputs, ["chunk-1", "chunk-2"])
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self.assertEqual(inner.run_count, 1)
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if __name__ == "__main__":
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unittest.main()
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