diff --git a/hindsight-integrations/pipecat/README.md b/hindsight-integrations/pipecat/README.md index 768347c14..4c0848cb9 100644 --- a/hindsight-integrations/pipecat/README.md +++ b/hindsight-integrations/pipecat/README.md @@ -49,14 +49,14 @@ See the [Hindsight installation guide](https://hindsight.vectorize.io/developer/ ``` New turn starts - └─ OpenAILLMContextFrame arrives + └─ LLMContextFrame arrives ├─ Retain previous complete turn (user+assistant) — fire-and-forget └─ Recall relevant memories for current user query └─ Inject as system message └─ Forward enriched context to LLM ``` -On each `OpenAILLMContextFrame`: +On each `LLMContextFrame`: 1. **Retain** — any new complete user+assistant turn pairs are sent to Hindsight asynchronously (non-blocking) 2. **Recall** — the latest user message is used as the search query; results are injected as a system message before the LLM sees the context diff --git a/hindsight-integrations/pipecat/examples/basic_pipeline.py b/hindsight-integrations/pipecat/examples/basic_pipeline.py index 1f3ffe299..1841f64b8 100644 --- a/hindsight-integrations/pipecat/examples/basic_pipeline.py +++ b/hindsight-integrations/pipecat/examples/basic_pipeline.py @@ -20,18 +20,19 @@ import asyncio import os +from hindsight_pipecat import HindsightMemoryService from pipecat.audio.vad.silero import SileroVADAnalyzer +from pipecat.frames.frames import LLMRunFrame from pipecat.pipeline.pipeline import Pipeline from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.task import PipelineParams, PipelineTask -from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext +from pipecat.processors.aggregators.llm_context import LLMContext +from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair from pipecat.services.cartesia.tts import CartesiaTTSService from pipecat.services.deepgram.stt import DeepgramSTTService from pipecat.services.openai.llm import OpenAILLMService from pipecat.transports.services.daily import DailyParams, DailyTransport -from hindsight_pipecat import HindsightMemoryService - SYSTEM_PROMPT = """You are a friendly voice assistant with long-term memory. You remember details from past conversations and use them naturally. Keep responses concise — this is a voice interface.""" @@ -67,8 +68,8 @@ async def main() -> None: recall_budget="mid", ) - context = OpenAILLMContext(messages=[{"role": "system", "content": SYSTEM_PROMPT}]) - context_aggregator = llm.create_context_aggregator(context) + context = LLMContext(messages=[{"role": "system", "content": SYSTEM_PROMPT}]) + context_aggregator = LLMContextAggregatorPair(context) pipeline = Pipeline( [ @@ -88,7 +89,7 @@ async def main() -> None: @transport.event_handler("on_first_participant_joined") async def on_first_participant_joined(transport, participant): # type: ignore[misc] await transport.capture_participant_transcription(participant["id"]) - await task.queue_frames([context_aggregator.user().get_context_frame()]) + await task.queue_frames([LLMRunFrame()]) runner = PipelineRunner() await runner.run(task) diff --git a/hindsight-integrations/pipecat/examples/interactive_chat.py b/hindsight-integrations/pipecat/examples/interactive_chat.py index 7c2adf3fc..16a37f958 100644 --- a/hindsight-integrations/pipecat/examples/interactive_chat.py +++ b/hindsight-integrations/pipecat/examples/interactive_chat.py @@ -50,10 +50,10 @@ def banner(label: str, color: str = CYAN) -> None: def _make_frame(messages: list[dict]) -> MagicMock: - """Build a mock OpenAILLMContextFrame (Pipecat's text context carrier).""" - from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContextFrame + """Build a mock LLMContextFrame (Pipecat's text context carrier).""" + from pipecat.frames.frames import LLMContextFrame - frame = MagicMock(spec=OpenAILLMContextFrame) + frame = MagicMock(spec=LLMContextFrame) ctx = MagicMock() ctx.messages = messages frame.context = ctx diff --git a/hindsight-integrations/pipecat/hindsight_pipecat/memory.py b/hindsight-integrations/pipecat/hindsight_pipecat/memory.py index 04dbb937c..3ec902c19 100644 --- a/hindsight-integrations/pipecat/hindsight_pipecat/memory.py +++ b/hindsight-integrations/pipecat/hindsight_pipecat/memory.py @@ -19,20 +19,10 @@ import logging from typing import Any +from hindsight_client import Hindsight from pipecat.frames.frames import Frame, LLMContextFrame from pipecat.processors.frame_processor import FrameDirection, FrameProcessor -# OpenAILLMContextFrame was deprecated in pipecat 0.0.99; keep the import -# optional so the integration works with both old and future versions. -try: - from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContextFrame as _OpenAILLMContextFrame - - _LEGACY_FRAME_TYPES: tuple[type, ...] = (LLMContextFrame, _OpenAILLMContextFrame) -except ImportError: # removed in a future pipecat release - _LEGACY_FRAME_TYPES = (LLMContextFrame,) - -from hindsight_client import Hindsight - from .config import get_config from .errors import HindsightPipecatError @@ -81,7 +71,7 @@ class HindsightMemoryService(FrameProcessor): transport.output(), ]) - On each ``OpenAILLMContextFrame``: + On each ``LLMContextFrame``: 1. Retains any new complete user+assistant pairs from prior turns (non-blocking, fire-and-forget). @@ -131,7 +121,7 @@ def __init__( async def process_frame(self, frame: Frame, direction: FrameDirection) -> None: await super().process_frame(frame, direction) - if isinstance(frame, _LEGACY_FRAME_TYPES) and direction == FrameDirection.DOWNSTREAM: + if isinstance(frame, LLMContextFrame) and direction == FrameDirection.DOWNSTREAM: await self._handle_context_frame(frame) else: await self.push_frame(frame, direction) diff --git a/hindsight-integrations/pipecat/pyproject.toml b/hindsight-integrations/pipecat/pyproject.toml index 774371610..c00d357de 100644 --- a/hindsight-integrations/pipecat/pyproject.toml +++ b/hindsight-integrations/pipecat/pyproject.toml @@ -2,7 +2,7 @@ name = "hindsight-pipecat" version = "0.1.1" description = "Pipecat integration for Hindsight - persistent memory for voice AI pipelines" -requires-python = ">=3.10" +requires-python = ">=3.11" license = { text = "MIT" } authors = [ { name = "Vectorize", email = "support@vectorize.io" } @@ -20,14 +20,13 @@ classifiers = [ "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Topic :: Scientific/Engineering :: Artificial Intelligence", ] dependencies = [ - "pipecat-ai>=0.0.100,<1.0", # 1.0+ restructured modules; needs migration + "pipecat-ai>=1.4.0,<2.0", # 1.x universal LLMContext; 1.4.0 clears the file-read CVE advisories "hindsight-client>=0.4.0", ] diff --git a/hindsight-integrations/pipecat/tests/test_live_integration.py b/hindsight-integrations/pipecat/tests/test_live_integration.py index 3eba16106..f6dc651b4 100644 --- a/hindsight-integrations/pipecat/tests/test_live_integration.py +++ b/hindsight-integrations/pipecat/tests/test_live_integration.py @@ -51,10 +51,10 @@ def _http_get(path: str) -> dict: def _make_frame(messages: list[dict[str, Any]]) -> MagicMock: - """Build a mock OpenAILLMContextFrame that the processor will recognize.""" - from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContextFrame + """Build a mock LLMContextFrame that the processor will recognize.""" + from pipecat.frames.frames import LLMContextFrame - frame = MagicMock(spec=OpenAILLMContextFrame) + frame = MagicMock(spec=LLMContextFrame) ctx = MagicMock() ctx.messages = messages frame.context = ctx diff --git a/hindsight-integrations/pipecat/tests/test_memory.py b/hindsight-integrations/pipecat/tests/test_memory.py index 887e77d32..0424207c0 100644 --- a/hindsight-integrations/pipecat/tests/test_memory.py +++ b/hindsight-integrations/pipecat/tests/test_memory.py @@ -59,10 +59,10 @@ def _make_context(messages: list[dict]) -> MagicMock: def _make_frame(messages: list[dict]) -> MagicMock: - """Return a mock OpenAILLMContextFrame.""" - from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContextFrame # noqa: F401 + """Return a mock LLMContextFrame.""" + from pipecat.frames.frames import LLMContextFrame - frame = MagicMock(spec=OpenAILLMContextFrame) + frame = MagicMock(spec=LLMContextFrame) frame.context = _make_context(messages) return frame @@ -303,3 +303,47 @@ async def test_multimodal_user_message_text_extracted(self) -> None: call_args = client.arecall.call_args assert call_args.kwargs["query"] == "voice transcription here" + + +# --------------------------------------------------------------------------- +# Real pipecat LLMContext contract +# +# The other tests mock the frame/context. These exercise the actual pipecat +# 1.x universal `LLMContext`, pinning the API the integration relies on: +# `LLMContextFrame.context.messages` is a live list of OpenAI-format dicts that +# the service mutates in place. A future pipecat change to that contract would +# fail here rather than silently breaking memory injection at runtime. +# --------------------------------------------------------------------------- + + +class TestRealLLMContext: + def _real_frame(self, messages: list[dict]) -> object: + from pipecat.frames.frames import LLMContextFrame + from pipecat.processors.aggregators.llm_context import LLMContext + + return LLMContextFrame(context=LLMContext(messages=messages)) + + async def test_service_recognizes_real_context_frame(self) -> None: + from pipecat.processors.frame_processor import FrameDirection + + client = _mock_client(recall_texts=["User prefers dark mode"]) + frame = self._real_frame([{"role": "user", "content": "Set up my editor"}]) + + svc = HindsightMemoryService(bank_id="test", client=client) + with patch.object(svc, "push_frame", new_callable=AsyncMock): + await svc.process_frame(frame, FrameDirection.DOWNSTREAM) + + client.arecall.assert_called_once() + + async def test_memory_injected_into_real_context(self) -> None: + client = _mock_client(recall_texts=["User prefers dark mode"]) + frame = self._real_frame([{"role": "user", "content": "Set up my editor"}]) + + svc = HindsightMemoryService(bank_id="test", client=client) + with patch.object(svc, "push_frame", new_callable=AsyncMock): + await svc._handle_context_frame(frame) + + # Mutation must persist on the real context object the LLM will read. + sys_msgs = [m for m in frame.context.messages if m.get("role") == "system"] + assert any(_MEMORY_MARKER in m.get("content", "") for m in sys_msgs) + assert any("dark mode" in m.get("content", "") for m in sys_msgs) diff --git a/hindsight-integrations/pipecat/uv.lock b/hindsight-integrations/pipecat/uv.lock index f20643258..06a201871 100644 --- a/hindsight-integrations/pipecat/uv.lock +++ b/hindsight-integrations/pipecat/uv.lock @@ -1,10 +1,9 @@ version = 1 revision = 3 -requires-python = ">=3.10" +requires-python = ">=3.11" resolution-markers = [ 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