Source code for langchain_community.chat_models.openai
"""OpenAI chat wrapper."""
from __future__ import annotations
import logging
import os
import sys
from typing import (
    TYPE_CHECKING,
    Any,
    AsyncIterator,
    Callable,
    Dict,
    Iterator,
    List,
    Mapping,
    Optional,
    Sequence,
    Tuple,
    Type,
    Union,
)
from langchain_core.callbacks import (
    AsyncCallbackManagerForLLMRun,
    CallbackManagerForLLMRun,
)
from langchain_core.language_models import LanguageModelInput
from langchain_core.language_models.chat_models import (
    BaseChatModel,
    agenerate_from_stream,
    generate_from_stream,
)
from langchain_core.language_models.llms import create_base_retry_decorator
from langchain_core.messages import (
    AIMessageChunk,
    BaseMessage,
    BaseMessageChunk,
    ChatMessageChunk,
    FunctionMessageChunk,
    HumanMessageChunk,
    SystemMessageChunk,
    ToolMessageChunk,
)
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
from langchain_core.runnables import Runnable
from langchain_core.utils import (
    get_from_dict_or_env,
    get_pydantic_field_names,
)
from langchain_community.adapters.openai import (
    convert_dict_to_message,
    convert_message_to_dict,
)
from langchain_community.utils.openai import is_openai_v1
if TYPE_CHECKING:
    import tiktoken
logger = logging.getLogger(__name__)
def _import_tiktoken() -> Any:
    try:
        import tiktoken
    except ImportError:
        raise ValueError(