From 323e00629d8ae065bab78ab34e4674b37776d6ae Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 6 Aug 2024 11:48:07 -0700 Subject: [PATCH 01/11] wip --- .../openai/langchain_openai/chat_models/base.py | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index 36fdf1d776d47..29b9f3c954b14 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -1016,7 +1016,9 @@ def with_structured_output( self, schema: Optional[_DictOrPydanticClass] = None, *, - method: Literal["function_calling", "json_mode"] = "function_calling", + method: Literal[ + "function_calling", "json_mode", "json_schema" + ] = "function_calling", include_raw: Literal[True] = True, **kwargs: Any, ) -> Runnable[LanguageModelInput, _AllReturnType]: ... @@ -1026,7 +1028,9 @@ def with_structured_output( self, schema: Optional[_DictOrPydanticClass] = None, *, - method: Literal["function_calling", "json_mode"] = "function_calling", + method: Literal[ + "function_calling", "json_mode", "json_schema" + ] = "function_calling", include_raw: Literal[False] = False, **kwargs: Any, ) -> Runnable[LanguageModelInput, _DictOrPydantic]: ... @@ -1035,7 +1039,9 @@ def with_structured_output( self, schema: Optional[_DictOrPydanticClass] = None, *, - method: Literal["function_calling", "json_mode"] = "function_calling", + method: Literal[ + "function_calling", "json_mode", "json_schema" + ] = "function_calling", include_raw: bool = False, **kwargs: Any, ) -> Runnable[LanguageModelInput, _DictOrPydantic]: @@ -1283,6 +1289,9 @@ class AnswerWithJustification(BaseModel): if is_pydantic_schema else JsonOutputParser() ) + elif method == "json_schema": + llm = self.bind(response_format={"type": "json_schema"}) + ... else: raise ValueError( f"Unrecognized method argument. Expected one of 'function_calling' or " From 3b911ed25cf0a8a4b59ec6cca2793f7c15509c3e Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 6 Aug 2024 11:58:28 -0700 Subject: [PATCH 02/11] wip --- libs/partners/openai/langchain_openai/chat_models/base.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index 29b9f3c954b14..ef4dcf9f05336 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -1290,8 +1290,8 @@ class AnswerWithJustification(BaseModel): else JsonOutputParser() ) elif method == "json_schema": - llm = self.bind(response_format={"type": "json_schema"}) - ... + llm = self.bind(response_format={"type": "json_schema", "json_schema": convert_to_openai_json_schema(schema)}) + output_parser = else: raise ValueError( f"Unrecognized method argument. Expected one of 'function_calling' or " From abad26cdf1c3e5840f52bad1b0562ab879cbbf91 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 6 Aug 2024 12:20:29 -0700 Subject: [PATCH 03/11] wip --- .../langchain_openai/chat_models/base.py | 14 +- libs/partners/openai/poetry.lock | 259 ++++++++++++------ libs/partners/openai/pyproject.toml | 2 +- 3 files changed, 185 insertions(+), 90 deletions(-) diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index ef4dcf9f05336..642e4e9931121 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -298,6 +298,8 @@ class _AllReturnType(TypedDict): class BaseChatOpenAI(BaseChatModel): client: Any = Field(default=None, exclude=True) #: :meta private: async_client: Any = Field(default=None, exclude=True) #: :meta private: + root_client: Any = Field(default=None, exclude=True) #: :meta private: + root_async_client: Any = Field(default=None, exclude=True) #: :meta private: model_name: str = Field(default="gpt-3.5-turbo", alias="model") """Model name to use.""" temperature: float = 0.7 @@ -445,9 +447,8 @@ def validate_environment(cls, values: Dict) -> Dict: ) from e values["http_client"] = httpx.Client(proxy=values["openai_proxy"]) sync_specific = {"http_client": values["http_client"]} - values["client"] = openai.OpenAI( - **client_params, **sync_specific - ).chat.completions + values["root_client"] = openai.OpenAI( **client_params, **sync_specific ) + values["client"] = values["root_client"].chat.completions if not values.get("async_client"): if values["openai_proxy"] and not values["http_async_client"]: try: @@ -461,9 +462,10 @@ def validate_environment(cls, values: Dict) -> Dict: proxy=values["openai_proxy"] ) async_specific = {"http_client": values["http_async_client"]} - values["async_client"] = openai.AsyncOpenAI( + values["root_async_client"] = openai.AsyncOpenAI( **client_params, **async_specific - ).chat.completions + ) + values["async_client"] = values["root_async_client"].chat.completions return values @property @@ -593,6 +595,8 @@ def _generate( ) return generate_from_stream(stream_iter) payload = self._get_request_payload(messages, stop=stop, **kwargs) + if "response_format" in payload: + response = self.root_client.beta.completions.parse(**payload) if self.include_response_headers: raw_response = self.client.with_raw_response.create(**payload) response = raw_response.parse() diff --git a/libs/partners/openai/poetry.lock b/libs/partners/openai/poetry.lock index b1df94ea36389..cc6b9e3f23e08 100644 --- a/libs/partners/openai/poetry.lock +++ b/libs/partners/openai/poetry.lock @@ -176,63 +176,83 @@ files = [ [[package]] name = "coverage" -version = "7.6.0" +version = "7.6.1" description = "Code coverage measurement for Python" optional = false python-versions = ">=3.8" files = [ - {file = "coverage-7.6.0-cp310-cp310-macosx_10_9_x86_64.whl", 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--- a/libs/partners/openai/pyproject.toml +++ b/libs/partners/openai/pyproject.toml @@ -24,7 +24,7 @@ ignore_missing_imports = true [tool.poetry.dependencies] python = ">=3.8.1,<4.0" langchain-core = "^0.2.26" -openai = "^1.32.0" +openai = "^1.40.0" tiktoken = ">=0.7,<1" [tool.ruff.lint] From d9194ec4bfea77e2d67048e017a51c5909bef7d9 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 6 Aug 2024 17:40:44 -0700 Subject: [PATCH 04/11] WIP: ChatOpenAI.with_structured_output json_schema support --- .../langchain_openai/chat_models/base.py | 184 ++- poetry.lock | 1157 +++++++++-------- 2 files changed, 785 insertions(+), 556 deletions(-) diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index ac5228a79cfc5..8fac0b51ce05c 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -7,6 +7,7 @@ import logging import os import sys +import warnings from io import BytesIO from math import ceil from operator import itemgetter @@ -74,7 +75,7 @@ ) from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult from langchain_core.pydantic_v1 import BaseModel, Field, SecretStr, root_validator -from langchain_core.runnables import Runnable, RunnableMap, RunnablePassthrough +from langchain_core.runnables import Runnable, RunnableMap, RunnablePassthrough, chain from langchain_core.runnables.config import run_in_executor from langchain_core.tools import BaseTool from langchain_core.utils import ( @@ -86,7 +87,11 @@ convert_to_openai_function, convert_to_openai_tool, ) -from langchain_core.utils.pydantic import is_basemodel_subclass +from langchain_core.utils.pydantic import ( + PydanticBaseModel, + TypeBaseModel, + is_basemodel_subclass, +) from langchain_core.utils.utils import build_extra_kwargs logger = logging.getLogger(__name__) @@ -526,13 +531,32 @@ def _stream( kwargs["stream"] = True payload = self._get_request_payload(messages, stop=stop, **kwargs) default_chunk_class: Type[BaseMessageChunk] = AIMessageChunk + base_generation_info = {} + + if "response_format" in payload and is_basemodel_subclass( + payload["response_format"] + ): + # TODO: Add support for streaming with Pydantic response_format. + warnings.warn("Streaming with Pydantic response_format not yet supported.") + chat_result = self._generate( + messages, stop, run_manager=run_manager, **kwargs + ) + msg = chat_result.generations[0].message + yield ChatGenerationChunk( + message=AIMessageChunk( + **msg.dict(exclude={"type", "additional_kwargs"}), + # preserve the Pydantic object without converting it to dict + additional_kwargs=msg.additional_kwargs, + ), + generation_info=chat_result.generations[0].generation_info, + ) + return if self.include_response_headers: raw_response = self.client.with_raw_response.create(**payload) response = raw_response.parse() base_generation_info = {"headers": dict(raw_response.headers)} else: response = self.client.create(**payload) - base_generation_info = {} with response: is_first_chunk = True for chunk in response: @@ -595,15 +619,21 @@ def _generate( ) return generate_from_stream(stream_iter) payload = self._get_request_payload(messages, stop=stop, **kwargs) + generation_info = None if "response_format" in payload: - response = self.root_client.beta.completions.parse(**payload) - if self.include_response_headers: + if self.include_response_headers: + warnings.warn( + "Cannot currently include response headers when response_format is " + "specified." + ) + payload.pop("stream") + response = self.root_client.beta.chat.completions.parse(**payload) + elif self.include_response_headers: raw_response = self.client.with_raw_response.create(**payload) response = raw_response.parse() generation_info = {"headers": dict(raw_response.headers)} else: response = self.client.create(**payload) - generation_info = None return self._create_chat_result(response, generation_info) def _get_request_payload( @@ -628,18 +658,19 @@ def _create_chat_result( generation_info: Optional[Dict] = None, ) -> ChatResult: generations = [] - if not isinstance(response, dict): - response = response.model_dump() + response_dict = ( + response if isinstance(response, dict) else response.model_dump() + ) # Sometimes the AI Model calling will get error, we should raise it. # Otherwise, the next code 'choices.extend(response["choices"])' # will throw a "TypeError: 'NoneType' object is not iterable" error # to mask the true error. Because 'response["choices"]' is None. - if response.get("error"): - raise ValueError(response.get("error")) + if response_dict.get("error"): + raise ValueError(response_dict.get("error")) - token_usage = response.get("usage", {}) - for res in response["choices"]: + token_usage = response_dict.get("usage", {}) + for res in response_dict["choices"]: message = _convert_dict_to_message(res["message"]) if token_usage and isinstance(message, AIMessage): message.usage_metadata = { @@ -659,9 +690,19 @@ def _create_chat_result( generations.append(gen) llm_output = { "token_usage": token_usage, - "model_name": response.get("model", self.model_name), - "system_fingerprint": response.get("system_fingerprint", ""), + "model_name": response_dict.get("model", self.model_name), + "system_fingerprint": response_dict.get("system_fingerprint", ""), } + + if isinstance(response, openai.BaseModel) and getattr( + response, "choices", None + ): + message = response.choices[0].message # type: ignore[attr-defined] + if hasattr(message, "parsed"): + generations[0].message.additional_kwargs["parsed"] = message.parsed + if hasattr(message, "refusal"): + generations[0].message.additional_kwargs["refusal"] = message.refusal + return ChatResult(generations=generations, llm_output=llm_output) async def _astream( @@ -674,13 +715,31 @@ async def _astream( kwargs["stream"] = True payload = self._get_request_payload(messages, stop=stop, **kwargs) default_chunk_class: Type[BaseMessageChunk] = AIMessageChunk + base_generation_info = {} + if "response_format" in payload and is_basemodel_subclass( + payload["response_format"] + ): + # TODO: Add support for streaming with Pydantic response_format. + warnings.warn("Streaming with Pydantic response_format not yet supported.") + chat_result = await self._agenerate( + messages, stop, run_manager=run_manager, **kwargs + ) + msg = chat_result.generations[0].message + yield ChatGenerationChunk( + message=AIMessageChunk( + **msg.dict(exclude={"type", "additional_kwargs"}), + # preserve the Pydantic object without converting it to dict + additional_kwargs=msg.additional_kwargs, + ), + generation_info=chat_result.generations[0].generation_info, + ) + return if self.include_response_headers: raw_response = self.async_client.with_raw_response.create(**payload) response = raw_response.parse() base_generation_info = {"headers": dict(raw_response.headers)} else: response = await self.async_client.create(**payload) - base_generation_info = {} async with response: is_first_chunk = True async for chunk in response: @@ -748,13 +807,23 @@ async def _agenerate( ) return await agenerate_from_stream(stream_iter) payload = self._get_request_payload(messages, stop=stop, **kwargs) - if self.include_response_headers: + generation_info = None + if "response_format" in payload: + if self.include_response_headers: + warnings.warn( + "Cannot currently include response headers when response_format is " + "specified." + ) + payload.pop("stream") + response = await self.root_async_client.beta.chat.completions.parse( + **payload + ) + elif self.include_response_headers: raw_response = await self.async_client.with_raw_response.create(**payload) response = raw_response.parse() generation_info = {"headers": dict(raw_response.headers)} else: response = await self.async_client.create(**payload) - generation_info = None return await run_in_executor( None, self._create_chat_result, response, generation_info ) @@ -1074,6 +1143,7 @@ def with_structured_output( .. versionchanged:: 0.1.21 Support for ``strict`` argument added. + Support for ``method`` = "json_schema" added. Args: schema: @@ -1100,6 +1170,15 @@ def with_structured_output( function-calling API. If "json_mode" then OpenAI's JSON mode will be used. Note that if using "json_mode" then you must include instructions for formatting the output into the desired schema into the model call. + + .. versionchanged:: 0.1.21 + + Added support for "json_schema". + + .. note:: Planned breaking change in version `0.2.0` + + ``method`` wil default to "json_schema" instead of + "function_calling". include_raw: If False then only the parsed structured output is returned. If an error occurs during model output parsing it will be raised. If True @@ -1107,14 +1186,15 @@ def with_structured_output( response will be returned. If an error occurs during output parsing it will be caught and returned as well. The final output is always a dict with keys "raw", "parsed", and "parsing_error". - strict: If True and ``method`` = "function_calling", model output is - guaranteed to exactly match the schema - If True, the input schema will also be - validated according to + strict: If True model output is guaranteed to exactly match the schema + If True, the input schema will also be validated according to https://platform.openai.com/docs/guides/structured-outputs/supported-schemas. If False, input schema will not be validated and model output will not - be validated. - If None, ``strict`` argument will not be passed to the model. + be validated. If None, ``strict`` argument will not be passed to the model. + + If ``method`` is "json_schema" defaults to True. + If ``method`` is "function_calling" or "json_mode" defaults to None. + Can only be non-null if ``method`` is "function_calling" or "json_schema". .. versionadded:: 0.1.21 @@ -1314,15 +1394,15 @@ class AnswerWithJustification(BaseModel): """ # noqa: E501 if kwargs: raise ValueError(f"Received unsupported arguments {kwargs}") - if strict is not None and method != "function_calling": + if strict is not None and method == "json_mode": raise ValueError( - "Argument `strict` is only supported for `method`='function_calling'" + "Argument `strict` is not supported with `method`='json_mode'" ) is_pydantic_schema = _is_pydantic_class(schema) if method == "function_calling": if schema is None: raise ValueError( - "schema must be specified when method is 'function_calling'. " + "schema must be specified when method is not 'json_mode'. " "Received None." ) tool_name = convert_to_openai_tool(schema)["function"]["name"] @@ -1349,13 +1429,19 @@ class AnswerWithJustification(BaseModel): else JsonOutputParser() ) elif method == "json_schema": - llm = self.bind( - response_format={ - "type": "json_schema", - "json_schema": convert_to_openai_json_schema(schema), - } + if schema is None: + raise ValueError( + "schema must be specified when method is not 'json_mode'. " + "Received None." + ) + strict = strict if strict is not None else True + response_format = _convert_to_openai_response_format(schema, strict=strict) + llm = self.bind(response_format=response_format) + output_parser = ( + cast(Runnable, _oai_structured_outputs_parser) + if is_pydantic_schema + else JsonOutputParser() ) - output_parser = ... else: raise ValueError( f"Unrecognized method argument. Expected one of 'function_calling' or " @@ -1992,3 +2078,37 @@ def _resize(width: int, height: int) -> Tuple[int, int]: height = (width * 768) // height width = 768 return width, height + + +def _convert_to_openai_response_format( + schema: Union[Dict[str, Any], Type], strict: bool +) -> Union[Dict, TypeBaseModel]: + if isinstance(schema, type) and is_basemodel_subclass(schema): + return schema + else: + function = convert_to_openai_function(schema, strict=strict) + function["schema"] = function.pop("parameters") + return {"type": "json_schema", "json_schema": function} + + +@chain +def _oai_structured_outputs_parser(ai_msg: AIMessage) -> PydanticBaseModel: + if ai_msg.additional_kwargs.get("parsed"): + return ai_msg.additional_kwargs["parsed"] + elif ai_msg.additional_kwargs.get("refusal"): + raise OpenAIRefusalError(ai_msg.additional_kwargs["refusal"]) + else: + raise ValueError( + "Structured Output response does not have a 'parsed' field nor a 'refusal' " + "field." + ) + + +class 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-4220,13 +4329,13 @@ files = [ [[package]] name = "tqdm" -version = "4.66.4" +version = "4.66.5" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" files = [ - {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"}, - {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"}, + {file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"}, + {file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"}, ] [package.dependencies] From 1cde75ba72b82c43cad9f2f922fb973813cd0ea6 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 6 Aug 2024 18:10:32 -0700 Subject: [PATCH 05/11] fmt --- .../langchain_openai/chat_models/base.py | 62 ++++++++++++------- 1 file changed, 40 insertions(+), 22 deletions(-) diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index 8fac0b51ce05c..672462dbfdaa0 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -545,7 +545,7 @@ def _stream( yield ChatGenerationChunk( message=AIMessageChunk( **msg.dict(exclude={"type", "additional_kwargs"}), - # preserve the Pydantic object without converting it to dict + # preserve the "parsed" Pydantic object without converting to dict additional_kwargs=msg.additional_kwargs, ), generation_info=chat_result.generations[0].generation_info, @@ -728,7 +728,7 @@ async def _astream( yield ChatGenerationChunk( message=AIMessageChunk( **msg.dict(exclude={"type", "additional_kwargs"}), - # preserve the Pydantic object without converting it to dict + # preserve the "parsed" Pydantic object without converting to dict additional_kwargs=msg.additional_kwargs, ), generation_info=chat_result.generations[0].generation_info, @@ -1148,6 +1148,7 @@ def with_structured_output( Args: schema: The output schema. Can be passed in as: + - an OpenAI function/tool schema, - a JSON Schema, - a TypedDict class (support added in 0.1.20), @@ -1163,13 +1164,24 @@ def with_structured_output( Added support for TypedDict class. - method: - The method for steering model generation, one of "function_calling" - or "json_mode". If "function_calling" then the schema will be converted - to an OpenAI function and the returned model will make use of the - function-calling API. If "json_mode" then OpenAI's JSON mode will be - used. Note that if using "json_mode" then you must include instructions - for formatting the output into the desired schema into the model call. + method: + The method for steering model generation, one of: + + - "function_calling": + Uses OpenAI's tool-calling (formerly called function calling) API: + https://platform.openai.com/docs/guides/function-calling + - "json_schema": + Uses OpenAI's Structured Output API: + https://platform.openai.com/docs/guides/structured-outputs + - "json_mode": + Uses OpenAI's JSON mode. Note that if using JSON mode then you + must include instructions for formatting the output into the + desired schema into the model call: + https://platform.openai.com/docs/guides/structured-outputs/json-mode + + Learn more about the differences between the methods and which models support which methods here: + - https://platform.openai.com/docs/guides/structured-outputs/structured-outputs-vs-json-mode + - https://platform.openai.com/docs/guides/structured-outputs/function-calling-vs-response-format .. versionchanged:: 0.1.21 @@ -1177,7 +1189,7 @@ def with_structured_output( .. note:: Planned breaking change in version `0.2.0` - ``method`` wil default to "json_schema" instead of + ``method`` default will be changed to "json_schema" from "function_calling". include_raw: If False then only the parsed structured output is returned. If @@ -1186,15 +1198,20 @@ def with_structured_output( response will be returned. If an error occurs during output parsing it will be caught and returned as well. The final output is always a dict with keys "raw", "parsed", and "parsing_error". - strict: If True model output is guaranteed to exactly match the schema - If True, the input schema will also be validated according to - https://platform.openai.com/docs/guides/structured-outputs/supported-schemas. - If False, input schema will not be validated and model output will not - be validated. If None, ``strict`` argument will not be passed to the model. - - If ``method`` is "json_schema" defaults to True. - If ``method`` is "function_calling" or "json_mode" defaults to None. - Can only be non-null if ``method`` is "function_calling" or "json_schema". + strict: + - True: + Model output is guaranteed to exactly match the schema. + The input schema will also be validated according to + https://platform.openai.com/docs/guides/structured-outputs/supported-schemas. + - False: + Input schema will not be validated and model output will not be + validated. + - None: + ``strict`` argument will not be passed to the model. + + If ``method`` is "json_schema" defaults to True. If ``method`` is + "function_calling" or "json_mode" defaults to None. Can only be + non-null if ``method`` is "function_calling" or "json_schema". .. versionadded:: 0.1.21 @@ -1213,9 +1230,10 @@ def with_structured_output( Otherwise, if ``include_raw`` is False then Runnable outputs a dict. If ``include_raw`` is True, then Runnable outputs a dict with keys: - - ``"raw"``: BaseMessage - - ``"parsed"``: None if there was a parsing error, otherwise the type depends on the ``schema`` as described above. - - ``"parsing_error"``: Optional[BaseException] + + - "raw": BaseMessage + - "parsed": None if there was a parsing error, otherwise the type depends on the ``schema`` as described above. + - "parsing_error": Optional[BaseException] Example: schema=Pydantic class, method="function_calling", include_raw=False, strict=True: .. note:: Valid schemas when using ``strict`` = True From fdcd8195e33cfe26a1c9d2e58d2f1cfafdffa607 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 6 Aug 2024 18:10:40 -0700 Subject: [PATCH 06/11] fmt --- .../langchain_openai/chat_models/base.py | 42 +++++++++---------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index 672462dbfdaa0..d29919f935d28 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -1148,7 +1148,7 @@ def with_structured_output( Args: schema: The output schema. Can be passed in as: - + - an OpenAI function/tool schema, - a JSON Schema, - a TypedDict class (support added in 0.1.20), @@ -1164,21 +1164,21 @@ def with_structured_output( Added support for TypedDict class. - method: + method: The method for steering model generation, one of: - - - "function_calling": - Uses OpenAI's tool-calling (formerly called function calling) API: + + - "function_calling": + Uses OpenAI's tool-calling (formerly called function calling) API: https://platform.openai.com/docs/guides/function-calling - - "json_schema": - Uses OpenAI's Structured Output API: + - "json_schema": + Uses OpenAI's Structured Output API: https://platform.openai.com/docs/guides/structured-outputs - - "json_mode": - Uses OpenAI's JSON mode. Note that if using JSON mode then you - must include instructions for formatting the output into the - desired schema into the model call: + - "json_mode": + Uses OpenAI's JSON mode. Note that if using JSON mode then you + must include instructions for formatting the output into the + desired schema into the model call: https://platform.openai.com/docs/guides/structured-outputs/json-mode - + Learn more about the differences between the methods and which models support which methods here: - https://platform.openai.com/docs/guides/structured-outputs/structured-outputs-vs-json-mode - https://platform.openai.com/docs/guides/structured-outputs/function-calling-vs-response-format @@ -1198,19 +1198,19 @@ def with_structured_output( response will be returned. If an error occurs during output parsing it will be caught and returned as well. The final output is always a dict with keys "raw", "parsed", and "parsing_error". - strict: - - True: + strict: + - True: Model output is guaranteed to exactly match the schema. The input schema will also be validated according to https://platform.openai.com/docs/guides/structured-outputs/supported-schemas. - - False: - Input schema will not be validated and model output will not be - validated. - - None: + - False: + Input schema will not be validated and model output will not be + validated. + - None: ``strict`` argument will not be passed to the model. - If ``method`` is "json_schema" defaults to True. If ``method`` is - "function_calling" or "json_mode" defaults to None. Can only be + If ``method`` is "json_schema" defaults to True. If ``method`` is + "function_calling" or "json_mode" defaults to None. Can only be non-null if ``method`` is "function_calling" or "json_schema". .. versionadded:: 0.1.21 @@ -1230,7 +1230,7 @@ def with_structured_output( Otherwise, if ``include_raw`` is False then Runnable outputs a dict. If ``include_raw`` is True, then Runnable outputs a dict with keys: - + - "raw": BaseMessage - "parsed": None if there was a parsing error, otherwise the type depends on the ``schema`` as described above. - "parsing_error": Optional[BaseException] From 60eba341367c46c65261390b74e64f435a396f70 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 6 Aug 2024 18:14:44 -0700 Subject: [PATCH 07/11] fmt --- libs/partners/openai/langchain_openai/chat_models/base.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index d29919f935d28..498691fee9410 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -1179,7 +1179,9 @@ def with_structured_output( desired schema into the model call: https://platform.openai.com/docs/guides/structured-outputs/json-mode - Learn more about the differences between the methods and which models support which methods here: + Learn more about the differences between the methods and which models + support which methods here: + - https://platform.openai.com/docs/guides/structured-outputs/structured-outputs-vs-json-mode - https://platform.openai.com/docs/guides/structured-outputs/function-calling-vs-response-format From ac72f6d6047dd46d6c1b69377e6c5b07bcb5f43d Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 6 Aug 2024 18:29:35 -0700 Subject: [PATCH 08/11] fmt --- libs/partners/openai/langchain_openai/chat_models/base.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index 498691fee9410..0bb164c4496a8 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -2124,11 +2124,14 @@ def _oai_structured_outputs_parser(ai_msg: AIMessage) -> PydanticBaseModel: ) -class OpenAIRefusalError(ValueError): - """Error raised when OpenAI Structured Outputs API refuses to generate answer. +class OpenAIRefusalError(Exception): + """Error raised when OpenAI Structured Outputs API returns a refusal. When using OpenAI's Structured Outputs API with user-generated input, the model may occasionally refuse to fulfill the request for safety reasons. + See here for more on refusals: + https://platform.openai.com/docs/guides/structured-outputs/refusals + .. versionadded:: 0.1.21 """ From 839b9b00a3fa5756b6db546a50cc9bca97159f73 Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 6 Aug 2024 18:37:51 -0700 Subject: [PATCH 09/11] fmt --- .../tests/unit_tests/chat_models/test_base.py | 25 +++++++++++++++---- 1 file changed, 20 insertions(+), 5 deletions(-) diff --git a/libs/partners/openai/tests/unit_tests/chat_models/test_base.py b/libs/partners/openai/tests/unit_tests/chat_models/test_base.py index d3d374df45e65..999ec759d1160 100644 --- a/libs/partners/openai/tests/unit_tests/chat_models/test_base.py +++ b/libs/partners/openai/tests/unit_tests/chat_models/test_base.py @@ -1,7 +1,7 @@ """Test OpenAI Chat API wrapper.""" import json -from typing import Any, List, Type, Union +from typing import Any, List, Literal, Optional, Type, Union from unittest.mock import AsyncMock, MagicMock, patch import pytest @@ -343,17 +343,32 @@ class MakeASandwich(BaseModel): None, ], ) -def test_bind_tools_tool_choice(tool_choice: Any) -> None: +@pytest.mark.parametrize("strict", [True, False, None]) +def test_bind_tools_tool_choice(tool_choice: Any, strict: Optional[bool]) -> None: """Test passing in manually construct tool call message.""" llm = ChatOpenAI(model="gpt-3.5-turbo-0125", temperature=0) - llm.bind_tools(tools=[GenerateUsername, MakeASandwich], tool_choice=tool_choice) + llm.bind_tools( + tools=[GenerateUsername, MakeASandwich], tool_choice=tool_choice, strict=strict + ) @pytest.mark.parametrize("schema", [GenerateUsername, GenerateUsername.schema()]) -def test_with_structured_output(schema: Union[Type[BaseModel], dict]) -> None: +@pytest.mark.parametrize("method", ["json_schema", "function_calling", "json_mode"]) +@pytest.mark.parametrize("include_raw", [True, False]) +@pytest.mark.parametrize("strict", [True, False, None]) +def test_with_structured_output( + schema: Union[Type[BaseModel], dict], + method: Literal["json_schema", "function_calling", "json_mode"], + include_raw: bool, + strict: Optional[bool], +) -> None: """Test passing in manually construct tool call message.""" + if method == "json_mode": + strict = None llm = ChatOpenAI(model="gpt-3.5-turbo-0125", temperature=0) - llm.with_structured_output(schema) + llm.with_structured_output( + schema, method=method, include_raw=include_raw, strict=strict + ) def test_get_num_tokens_from_messages() -> None: From 74167201fc65c5a4b75b50d4aa08d6cce14f132f Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 6 Aug 2024 18:51:48 -0700 Subject: [PATCH 10/11] fmt --- .../langchain_openai/chat_models/base.py | 28 ------------------- .../tests/unit_tests/chat_models/test_base.py | 8 +++--- 2 files changed, 4 insertions(+), 32 deletions(-) diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index 0bb164c4496a8..901d0b09f3a3d 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -28,7 +28,6 @@ TypeVar, Union, cast, - overload, ) from urllib.parse import urlparse @@ -1100,33 +1099,6 @@ def bind_tools( kwargs["tool_choice"] = tool_choice return super().bind(tools=formatted_tools, **kwargs) - # TODO: Fix typing. - @overload # type: ignore[override] - def with_structured_output( - self, - schema: Optional[_DictOrPydanticClass] = None, - *, - method: Literal[ - "function_calling", "json_mode", "json_schema" - ] = "function_calling", - include_raw: Literal[True] = True, - strict: Optional[bool] = None, - **kwargs: Any, - ) -> Runnable[LanguageModelInput, _AllReturnType]: ... - - @overload - def with_structured_output( - self, - schema: Optional[_DictOrPydanticClass] = None, - *, - method: Literal[ - "function_calling", "json_mode", "json_schema" - ] = "function_calling", - include_raw: Literal[False] = False, - strict: Optional[bool] = None, - **kwargs: Any, - ) -> Runnable[LanguageModelInput, _DictOrPydantic]: ... - def with_structured_output( self, schema: Optional[_DictOrPydanticClass] = None, diff --git a/libs/partners/openai/tests/unit_tests/chat_models/test_base.py b/libs/partners/openai/tests/unit_tests/chat_models/test_base.py index 999ec759d1160..4f635ad7aaa31 100644 --- a/libs/partners/openai/tests/unit_tests/chat_models/test_base.py +++ b/libs/partners/openai/tests/unit_tests/chat_models/test_base.py @@ -1,7 +1,7 @@ """Test OpenAI Chat API wrapper.""" import json -from typing import Any, List, Literal, Optional, Type, Union +from typing import Any, Dict, List, Literal, Optional, Type, Union from unittest.mock import AsyncMock, MagicMock, patch import pytest @@ -357,8 +357,8 @@ def test_bind_tools_tool_choice(tool_choice: Any, strict: Optional[bool]) -> Non @pytest.mark.parametrize("include_raw", [True, False]) @pytest.mark.parametrize("strict", [True, False, None]) def test_with_structured_output( - schema: Union[Type[BaseModel], dict], - method: Literal["json_schema", "function_calling", "json_mode"], + schema: Union[Type, Dict[str, Any], None], + method: Literal["function_calling", "json_mode", "json_schema"], include_raw: bool, strict: Optional[bool], ) -> None: @@ -367,7 +367,7 @@ def test_with_structured_output( strict = None llm = ChatOpenAI(model="gpt-3.5-turbo-0125", temperature=0) llm.with_structured_output( - schema, method=method, include_raw=include_raw, strict=strict + schema, method=method, strict=strict, include_raw=include_raw ) From 13378c618862db30871373efdbdfc871ddc0a6ec Mon Sep 17 00:00:00 2001 From: Bagatur Date: Tue, 6 Aug 2024 19:11:39 -0700 Subject: [PATCH 11/11] fmt --- .../langchain_openai/chat_models/base.py | 8 ++-- .../chat_models/test_base.py | 44 ++++++++++++++++--- 2 files changed, 44 insertions(+), 8 deletions(-) diff --git a/libs/partners/openai/langchain_openai/chat_models/base.py b/libs/partners/openai/langchain_openai/chat_models/base.py index 901d0b09f3a3d..f9f6841aaf092 100644 --- a/libs/partners/openai/langchain_openai/chat_models/base.py +++ b/libs/partners/openai/langchain_openai/chat_models/base.py @@ -1140,11 +1140,13 @@ def with_structured_output( The method for steering model generation, one of: - "function_calling": - Uses OpenAI's tool-calling (formerly called function calling) API: - https://platform.openai.com/docs/guides/function-calling + Uses OpenAI's tool-calling (formerly called function calling) + API: https://platform.openai.com/docs/guides/function-calling - "json_schema": Uses OpenAI's Structured Output API: - https://platform.openai.com/docs/guides/structured-outputs + https://platform.openai.com/docs/guides/structured-outputs. + Supported for "gpt-4o-mini", "gpt-4o-2024-08-06", and later + models. - "json_mode": Uses OpenAI's JSON mode. Note that if using JSON mode then you must include instructions for formatting the output into the diff --git a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py index 1624363ed0e18..3e03755b765bd 100644 --- a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py +++ b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py @@ -1,7 +1,7 @@ """Test ChatOpenAI chat model.""" import base64 -from typing import Any, AsyncIterator, List, Optional, cast +from typing import Any, AsyncIterator, List, Literal, Optional, cast import httpx import openai @@ -796,13 +796,21 @@ class magic_function(BaseModel): next(model_with_invalid_tool_schema.stream(query)) -def test_structured_output_strict() -> None: +@pytest.mark.parametrize( + ("model", "method", "strict"), + [("gpt-4o", "function_calling", True), ("gpt-4o-2024-08-06", "json_schema", None)], +) +def test_structured_output_strict( + model: str, + method: Literal["function_calling", "json_schema"], + strict: Optional[bool], +) -> None: """Test to verify structured output with strict=True.""" from pydantic import BaseModel as BaseModelProper from pydantic import Field as FieldProper - model = ChatOpenAI(model="gpt-4o", temperature=0) + llm = ChatOpenAI(model=model, temperature=0) class Joke(BaseModelProper): """Joke to tell user.""" @@ -814,7 +822,7 @@ class Joke(BaseModelProper): # Type ignoring since the interface only officially supports pydantic 1 # or pydantic.v1.BaseModel but not pydantic.BaseModel from pydantic 2. # We'll need to do a pass updating the type signatures. - chat = model.with_structured_output(Joke, strict=True) # type: ignore[arg-type] + chat = llm.with_structured_output(Joke, method=method, strict=strict) result = chat.invoke("Tell me a joke about cats.") assert isinstance(result, Joke) @@ -822,7 +830,9 @@ class Joke(BaseModelProper): assert isinstance(chunk, Joke) # Schema - chat = model.with_structured_output(Joke.model_json_schema(), strict=True) + chat = llm.with_structured_output( + Joke.model_json_schema(), method=method, strict=strict + ) result = chat.invoke("Tell me a joke about cats.") assert isinstance(result, dict) assert set(result.keys()) == {"setup", "punchline"} @@ -831,3 +841,27 @@ class Joke(BaseModelProper): assert isinstance(chunk, dict) assert isinstance(chunk, dict) # for mypy assert set(chunk.keys()) == {"setup", "punchline"} + + # Invalid schema with optional fields: + class InvalidJoke(BaseModelProper): + """Joke to tell user.""" + + setup: str = FieldProper(description="question to set up a joke") + # Invalid field, can't have default value. + punchline: str = FieldProper( + default="foo", description="answer to resolve the joke" + ) + + chat = llm.with_structured_output(InvalidJoke, method=method, strict=strict) + with pytest.raises(openai.BadRequestError): + chat.invoke("Tell me a joke about cats.") + with pytest.raises(openai.BadRequestError): + next(chat.stream("Tell me a joke about cats.")) + + chat = llm.with_structured_output( + InvalidJoke.model_json_schema(), method=method, strict=strict + ) + with pytest.raises(openai.BadRequestError): + chat.invoke("Tell me a joke about cats.") + with pytest.raises(openai.BadRequestError): + next(chat.stream("Tell me a joke about cats."))