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5323f427d0
Bundles 10 community fixes for the Python wrappers, each commit kept with its original author. Ships supermemory-openai-sdk 1.0.10, supermemory-cartesia 0.1.5 and supermemory-pipecat 0.1.5. - openai-sdk-python: shared OpenAI clients no longer leak memories across tenants (#1503), memory search fails open instead of crashing the chat (#1288), the requests fallback runs off the event loop (#1660), get_profile works for users with no memories (#1759). - cartesia: the wrapped agent runs exactly once per event (#1280, #1670), plain-string and chunk-only search results are kept (#1683, #1693). - pipecat: memory text stays literal when replacing the injected block (#1647), `InputParams` is exported from the package root (#1575). - #1503 was hand-ported onto main's newer middleware. #1751 is left out: the v5 agent-framework migration (#1786) appends to the conversation document by design. Co-Authored-By: abhinav7x94 <204053250+abhinav7x94@users.noreply.github.com> Co-Authored-By: shamAnimates <145093437+shamAnimates@users.noreply.github.com> Co-Authored-By: aloktripathi1 <142301030+aloktripathi1@users.noreply.github.com> Co-Authored-By: Cintu07 <178455858+Cintu07@users.noreply.github.com> Co-Authored-By: Atharvsinh-codez <201381760+Atharvsinh-codez@users.noreply.github.com> Co-Authored-By: abhay-codes07 <182421137+abhay-codes07@users.noreply.github.com> Co-Authored-By: nkootstra <545768+nkootstra@users.noreply.github.com> Co-Authored-By: Agnik47 <140933190+Agnik47@users.noreply.github.com>
98 lines
3.0 KiB
Python
98 lines
3.0 KiB
Python
"""Import stubs for heavy optional deps; no-ops in CI where the real ones are installed."""
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from __future__ import annotations
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import sys
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import types
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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 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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if "pipecat" not in sys.modules:
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pipecat_module = types.ModuleType("pipecat")
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sys.modules["pipecat"] = pipecat_module
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frames_module = types.ModuleType("pipecat.frames.frames")
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class Frame: # pragma: no cover - import stub
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pass
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class InputAudioRawFrame: # pragma: no cover - import stub
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pass
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class LLMContextFrame: # pragma: no cover - import stub
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pass
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class LLMMessagesFrame: # pragma: no cover - import stub
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pass
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frames_module.Frame = Frame
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frames_module.InputAudioRawFrame = InputAudioRawFrame
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frames_module.LLMContextFrame = LLMContextFrame
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frames_module.LLMMessagesFrame = LLMMessagesFrame
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llm_context_module = types.ModuleType("pipecat.processors.aggregators.llm_context")
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class LLMContext: # pragma: no cover - import stub
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pass
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llm_context_module.LLMContext = LLMContext
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openai_context_module = types.ModuleType(
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"pipecat.processors.aggregators.openai_llm_context"
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)
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class OpenAILLMContextFrame: # pragma: no cover - import stub
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pass
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openai_context_module.OpenAILLMContextFrame = OpenAILLMContextFrame
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frame_processor_module = types.ModuleType("pipecat.processors.frame_processor")
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class FrameDirection: # pragma: no cover - import stub
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pass
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class FrameProcessor:
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def __init__(self, *args, **kwargs):
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return None
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frame_processor_module.FrameDirection = FrameDirection
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frame_processor_module.FrameProcessor = FrameProcessor
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sys.modules["pipecat.frames.frames"] = frames_module
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sys.modules["pipecat.processors.aggregators.llm_context"] = llm_context_module
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sys.modules[
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"pipecat.processors.aggregators.openai_llm_context"
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] = openai_context_module
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sys.modules["pipecat.processors.frame_processor"] = frame_processor_module
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_install_test_stubs()
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