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Commitc21a249

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Merge branch 'langchain-ai:master' into fix/token-counter-function-call
2 parentse61ecce +71778cb commitc21a249

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10 files changed

+81
-25
lines changed

10 files changed

+81
-25
lines changed

‎.github/workflows/_lint.yml‎

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@@ -47,6 +47,12 @@ jobs:
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cache-suffix:lint-${{ inputs.working-directory }}
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working-directory:${{ inputs.working-directory }}
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-name:"🔒 Verify Lockfile is Up-to-Date"
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working-directory:${{ inputs.working-directory }}
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run:|
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unset UV_FROZEN
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uv lock --check
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-name:"📦 Install Lint & Typing Dependencies"
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working-directory:${{ inputs.working-directory }}
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run:|

‎libs/Makefile‎

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# Makefile for libs/ directory
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# Contains targets that operate across multiple packages
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LANGCHAIN_DIRS = core text-splitters langchain langchain_v1 model-profiles
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.PHONY: lock check-lock
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# Regenerate lockfiles for all core packages
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lock:
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@for dirin$(LANGCHAIN_DIRS);do\
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echo"=== Locking$$dir ===";\
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(cd$$dir&& uv lock);\
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done
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# Verify all lockfiles are up-to-date
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check-lock:
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@for dirin$(LANGCHAIN_DIRS);do\
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echo"=== Checking$$dir ===";\
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(cd$$dir&& uv lock --check)||exit 1;\
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done

‎libs/core/uv.lock‎

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‎libs/langchain/uv.lock‎

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‎libs/langchain_v1/uv.lock‎

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‎libs/model-profiles/uv.lock‎

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‎libs/partners/openai/pyproject.toml‎

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@@ -9,10 +9,10 @@ license = { text = "MIT" }
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readme ="README.md"
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authors = []
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version ="1.1.3"
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version ="1.1.4"
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requires-python =">=3.10.0,<4.0.0"
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dependencies = [
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"langchain-core>=1.1.3,<2.0.0",
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"langchain-core>=1.2.1,<2.0.0",
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"openai>=1.109.1,<3.0.0",
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"tiktoken>=0.7.0,<1.0.0",
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]

‎libs/partners/openai/tests/integration_tests/chat_models/test_base.py‎

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@@ -239,7 +239,7 @@ async def test_openai_abatch_tags(use_responses_api: bool) -> None:
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deftest_openai_invoke()->None:
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"""Test invoke tokens from ChatOpenAI."""
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llm=ChatOpenAI(
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model="gpt-5-mini",
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model="gpt-5-nano",
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service_tier="flex",# Also test service_tier
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max_retries=3,# Add retries for 503 capacity errors
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)
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deftest_stream()->None:
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"""Test streaming tokens from OpenAI."""
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llm=ChatOpenAI(
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model="gpt-5-mini",
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model="gpt-5-nano",
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service_tier="flex",# Also test service_tier
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max_retries=3,# Add retries for 503 capacity errors
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)
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@pytest.mark.parametrize("streaming", [False,True])
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deftest_flex_usage_responses(streaming:bool)->None:
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llm=ChatOpenAI(
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model="gpt-5-mini",
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model="gpt-5-nano",
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service_tier="flex",
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max_retries=3,
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use_responses_api=True,

‎libs/partners/openai/uv.lock‎

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‎libs/text-splitters/uv.lock‎

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