Source code for langchain_community.chat_models.hunyuan
import base64
import hashlib
import hmac
import json
import logging
import time
from typing import Any, Dict, Iterator, List, Mapping, Optional, Type
from urllib.parse import urlparse
import requests
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.chat_models import (
    BaseChatModel,
    generate_from_stream,
)
from langchain_core.messages import (
    AIMessage,
    AIMessageChunk,
    BaseMessage,
    BaseMessageChunk,
    ChatMessage,
    ChatMessageChunk,
    HumanMessage,
    HumanMessageChunk,
)
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
from langchain_core.utils import (
    convert_to_secret_str,
    get_from_dict_or_env,
    get_pydantic_field_names,
)
logger = logging.getLogger(__name__)
DEFAULT_API_BASE = "https://hunyuan.cloud.tencent.com"
DEFAULT_PATH = "/hyllm/v1/chat/completions"
def _convert_message_to_dict(message: BaseMessage) -> dict:
    message_dict: Dict[str, Any]
    if isinstance(message, ChatMessage):
        message_dict = {"role": message.role, "content": message.content}
    elif isinstance(message, HumanMessage):
        message_dict = {"role": "user", "content": message.content}
    elif isinstance(message, AIMessage):
        message_dict = {"role": "assistant", "content": message.content}
    else:
        raise TypeError(f"Got unknown type {message}")
    return message_dict
def _convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage: