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## Goal Solve the following problems with `langchain-openai`: - Structured output with `o1` [breaks out of the box](https://langchain.slack.com/archives/C050X0VTN56/p1735232400232099). - `with_structured_output` by default does not use OpenAI’s [structured output feature](https://platform.openai.com/docs/guides/structured-outputs). - We override API defaults for temperature and other parameters. ## Breaking changes: - Default method for structured output is changing to OpenAI’s dedicated [structured output feature](https://platform.openai.com/docs/guides/structured-outputs). For schemas specified via TypedDict or JSON schema, strict schema validation is disabled by default but can be enabled by specifying `strict=True`. - To recover previous default, pass `method="function_calling"` into `with_structured_output`. - Models that don’t support `method="json_schema"` (e.g., `gpt-4` and `gpt-3.5-turbo`, currently the default model for ChatOpenAI) will raise an error unless `method` is explicitly specified. - To recover previous default, pass `method="function_calling"` into `with_structured_output`. - Schemas specified via Pydantic `BaseModel` that have fields with non-null defaults or metadata (like min/max constraints) will raise an error. - To recover previous default, pass `method="function_calling"` into `with_structured_output`. - `strict` now defaults to False for `method="json_schema"` when schemas are specified via TypedDict or JSON schema. - To recover previous behavior, use `with_structured_output(schema, strict=True)` - Schemas specified via Pydantic V1 will raise a warning (and use `method="function_calling"`) unless `method` is explicitly specified. - To remove the warning, pass `method="function_calling"` into `with_structured_output`. - Streaming with default structured output method / Pydantic schema no longer generates intermediate streamed chunks. - To recover previous behavior, pass `method="function_calling"` into `with_structured_output`. - We no longer override default temperature (was 0.7 in LangChain, now will follow OpenAI, currently 1.0). - To recover previous behavior, initialize `ChatOpenAI` or `AzureChatOpenAI` with `temperature=0.7`. - Note: conceptually there is a difference between forcing a tool call and forcing a response format. Tool calls may have more concise arguments vs. generating content adhering to a schema. Prompts may need to be adjusted to recover desired behavior. --------- Co-authored-by: Jacob Lee <jacoblee93@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>
63 lines
2.0 KiB
Makefile
63 lines
2.0 KiB
Makefile
.PHONY: all format lint test tests integration_tests docker_tests help extended_tests
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# Default target executed when no arguments are given to make.
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all: help
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# Define a variable for the test file path.
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TEST_FILE ?= tests/unit_tests/
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integration_test integration_tests: TEST_FILE=tests/integration_tests/
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test tests:
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poetry run pytest --disable-socket --allow-unix-socket $(TEST_FILE)
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test_watch:
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poetry run ptw --snapshot-update --now . -- -vv $(TEST_FILE)
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integration_test integration_tests:
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poetry run pytest $(TEST_FILE)
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######################
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# LINTING AND FORMATTING
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######################
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# Define a variable for Python and notebook files.
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PYTHON_FILES=.
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MYPY_CACHE=.mypy_cache
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lint format: PYTHON_FILES=.
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lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/xai --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
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lint_package: PYTHON_FILES=langchain_xai
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lint_tests: PYTHON_FILES=tests
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lint_tests: MYPY_CACHE=.mypy_cache_test
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lint lint_diff lint_package lint_tests:
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[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check $(PYTHON_FILES)
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[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff
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[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
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format format_diff:
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[ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES)
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[ "$(PYTHON_FILES)" = "" ] || poetry run ruff check --select I --fix $(PYTHON_FILES)
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spell_check:
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poetry run codespell --toml pyproject.toml
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spell_fix:
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poetry run codespell --toml pyproject.toml -w
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check_imports: $(shell find langchain_xai -name '*.py')
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poetry run python ./scripts/check_imports.py $^
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######################
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# HELP
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######################
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help:
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@echo '----'
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@echo 'check_imports - check imports'
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@echo 'format - run code formatters'
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@echo 'lint - run linters'
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@echo 'test - run unit tests'
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@echo 'tests - run unit tests'
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@echo 'test TEST_FILE=<test_file> - run all tests in file'
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