GitHub Actions run on branch mdrxy/genai - langchain-ai/langchain

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Wall Time

7 hours ago 09efaff mdrxy/genai pull_request

Unknown Walltime execution environment detected

Using the Walltime instrument on standard Hosted Runners will lead to inconsistent data. For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.

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feat(core): GenAI content blocks (WIP)

#32987

mdrxy/genai

7 hours ago

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Benchmarks

test_import_time[RunnableLambda]

libs/core/tests/benchmarks/test_imports.py::test_import_time[RunnableLambda]

467.7 ms

test_import_time[PydanticOutputParser]

libs/core/tests/benchmarks/test_imports.py::test_import_time[PydanticOutputParser]

514.1 ms

test_import_time[Document]

libs/core/tests/benchmarks/test_imports.py::test_import_time[Document]

211.5 ms

test_import_time[CallbackManager]

libs/core/tests/benchmarks/test_imports.py::test_import_time[CallbackManager]

433.9 ms

test_import_time[InMemoryVectorStore]

libs/core/tests/benchmarks/test_imports.py::test_import_time[InMemoryVectorStore]

589.5 ms

test_async_callbacks_in_sync

libs/core/tests/benchmarks/test_async_callbacks.py::test_async_callbacks_in_sync

24.3 ms

test_import_time[HumanMessage]

libs/core/tests/benchmarks/test_imports.py::test_import_time[HumanMessage]

267.3 ms

test_import_time[LangChainTracer]

libs/core/tests/benchmarks/test_imports.py::test_import_time[LangChainTracer]

417.5 ms

test_import_time[InMemoryRateLimiter]

libs/core/tests/benchmarks/test_imports.py::test_import_time[InMemoryRateLimiter]

166.1 ms

test_import_time[tool]

libs/core/tests/benchmarks/test_imports.py::test_import_time[tool]

490.2 ms

test_import_time[ChatPromptTemplate]

libs/core/tests/benchmarks/test_imports.py::test_import_time[ChatPromptTemplate]

574 ms

test_import_time[Runnable]

libs/core/tests/benchmarks/test_imports.py::test_import_time[Runnable]

467.9 ms

test_import_time[BaseChatModel]

libs/core/tests/benchmarks/test_imports.py::test_import_time[BaseChatModel]

505.3 ms

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