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multiple: pydantic 2 compatibility, v0.3 (#26443)

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Signed-off-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Dan O'Donovan <dan.odonovan@gmail.com>
Co-authored-by: Tom Daniel Grande <tomdgrande@gmail.com>
Co-authored-by: Grande <Tom.Daniel.Grande@statsbygg.no>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: ZhangShenao <15201440436@163.com>
Co-authored-by: Friso H. Kingma <fhkingma@gmail.com>
Co-authored-by: ChengZi <chen.zhang@zilliz.com>
Co-authored-by: Nuno Campos <nuno@langchain.dev>
Co-authored-by: Morgante Pell <morgantep@google.com>
This commit is contained in:
Erick Friis
2024-09-13 14:38:45 -07:00
committed by GitHub
parent d9813bdbbc
commit c2a3021bb0
1402 changed files with 38318 additions and 30410 deletions
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30
libs/community/langchain_community/chat_models/minimax.py
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@@ -44,12 +44,18 @@ from langchain_core.output_parsers.openai_tools import (
PydanticToolsParser,
)
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.tools import BaseTool
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
from langchain_core.utils.function_calling import convert_to_openai_tool
from langchain_core.utils.pydantic import get_fields
from pydantic import (
BaseModel,
ConfigDict,
Field,
SecretStr,
model_validator,
)
logger = logging.getLogger(__name__)
@@ -267,7 +273,7 @@ class MiniMaxChat(BaseChatModel):
Tool calling:
.. code-block:: python
from langchain_core.pydantic_v1 import BaseModel, Field
from pydantic import BaseModel, Field
class GetWeather(BaseModel):
@@ -307,7 +313,7 @@ class MiniMaxChat(BaseChatModel):
from typing import Optional
from langchain_core.pydantic_v1 import BaseModel, Field
from pydantic import BaseModel, Field
class Joke(BaseModel):
@@ -363,7 +369,7 @@ class MiniMaxChat(BaseChatModel):
**self.model_kwargs,
}
_client: Any
_client: Any = None
model: str = "abab6.5-chat"
"""Model name to use."""
max_tokens: int = 256
@@ -384,11 +390,13 @@ class MiniMaxChat(BaseChatModel):
streaming: bool = False
"""Whether to stream the results or not."""
class Config:
allow_population_by_field_name = True
model_config = ConfigDict(
populate_by_name=True,
)
@root_validator(pre=True)
def validate_environment(cls, values: Dict) -> Dict:
@model_validator(mode="before")
@classmethod
def validate_environment(cls, values: Dict) -> Any:
"""Validate that api key and python package exists in environment."""
values["minimax_api_key"] = convert_to_secret_str(
get_from_dict_or_env(
@@ -694,7 +702,7 @@ class MiniMaxChat(BaseChatModel):
.. code-block:: python
from langchain_community.chat_models import MiniMaxChat
from langchain_core.pydantic_v1 import BaseModel
from pydantic import BaseModel
class AnswerWithJustification(BaseModel):
'''An answer to the user question along with justification for the answer.'''
@@ -715,7 +723,7 @@ class MiniMaxChat(BaseChatModel):
.. code-block:: python
from langchain_community.chat_models import MiniMaxChat
from langchain_core.pydantic_v1 import BaseModel
from pydantic import BaseModel
class AnswerWithJustification(BaseModel):
'''An answer to the user question along with justification for the answer.'''
@@ -737,7 +745,7 @@ class MiniMaxChat(BaseChatModel):
.. code-block:: python
from langchain_community.chat_models import MiniMaxChat
from langchain_core.pydantic_v1 import BaseModel
from pydantic import BaseModel
from langchain_core.utils.function_calling import convert_to_openai_tool
class AnswerWithJustification(BaseModel):