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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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84
libs/partners/openai/langchain_openai/chat_models/azure.py
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@@ -31,12 +31,13 @@ from langchain_core.output_parsers.openai_tools import (
PydanticToolsParser,
)
from langchain_core.outputs import 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 from_env, secret_from_env
from langchain_core.utils.function_calling import convert_to_openai_tool
from langchain_core.utils.pydantic import is_basemodel_subclass
from pydantic import BaseModel, Field, SecretStr, model_validator
from typing_extensions import Self
from langchain_openai.chat_models.base import BaseChatOpenAI
@@ -250,7 +251,7 @@ class AzureChatOpenAI(BaseChatOpenAI):
Tool calling:
.. code-block:: python
from langchain_core.pydantic_v1 import BaseModel, Field
from pydantic import BaseModel, Field
class GetWeather(BaseModel):
@@ -305,7 +306,7 @@ class AzureChatOpenAI(BaseChatOpenAI):
from typing import Optional
from langchain_core.pydantic_v1 import BaseModel, Field
from pydantic import BaseModel, Field
class Joke(BaseModel):
@@ -494,7 +495,7 @@ class AzureChatOpenAI(BaseChatOpenAI):
default_factory=from_env("OPENAI_API_VERSION", default=None),
)
"""Automatically inferred from env var `OPENAI_API_VERSION` if not provided."""
# Check OPENAI_KEY for backwards compatibility.
# Check OPENAI_API_KEY for backwards compatibility.
# TODO: Remove OPENAI_API_KEY support to avoid possible conflict when using
# other forms of azure credentials.
openai_api_key: Optional[SecretStr] = Field(
@@ -565,31 +566,31 @@ class AzureChatOpenAI(BaseChatOpenAI):
def is_lc_serializable(cls) -> bool:
return True
@root_validator(pre=False, skip_on_failure=True)
def validate_environment(cls, values: Dict) -> Dict:
@model_validator(mode="after")
def validate_environment(self) -> Self:
"""Validate that api key and python package exists in environment."""
if values["n"] < 1:
if self.n < 1:
raise ValueError("n must be at least 1.")
if values["n"] > 1 and values["streaming"]:
if self.n > 1 and self.streaming:
raise ValueError("n must be 1 when streaming.")
# Check OPENAI_ORGANIZATION for backwards compatibility.
values["openai_organization"] = (
values["openai_organization"]
self.openai_organization = (
self.openai_organization
or os.getenv("OPENAI_ORG_ID")
or os.getenv("OPENAI_ORGANIZATION")
)
# For backwards compatibility. Before openai v1, no distinction was made
# between azure_endpoint and base_url (openai_api_base).
openai_api_base = values["openai_api_base"]
if openai_api_base and values["validate_base_url"]:
openai_api_base = self.openai_api_base
if openai_api_base and self.validate_base_url:
if "/openai" not in openai_api_base:
raise ValueError(
"As of openai>=1.0.0, Azure endpoints should be specified via "
"the `azure_endpoint` param not `openai_api_base` "
"(or alias `base_url`)."
)
if values["deployment_name"]:
if self.deployment_name:
raise ValueError(
"As of openai>=1.0.0, if `azure_deployment` (or alias "
"`deployment_name`) is specified then "
@@ -602,39 +603,36 @@ class AzureChatOpenAI(BaseChatOpenAI):
"Or you can equivalently specify:\n\n"
'base_url="https://xxx.openai.azure.com/openai/deployments/my-deployment"'
)
client_params = {
"api_version": values["openai_api_version"],
"azure_endpoint": values["azure_endpoint"],
"azure_deployment": values["deployment_name"],
client_params: dict = {
"api_version": self.openai_api_version,
"azure_endpoint": self.azure_endpoint,
"azure_deployment": self.deployment_name,
"api_key": (
values["openai_api_key"].get_secret_value()
if values["openai_api_key"]
else None
self.openai_api_key.get_secret_value() if self.openai_api_key else None
),
"azure_ad_token": (
values["azure_ad_token"].get_secret_value()
if values["azure_ad_token"]
else None
self.azure_ad_token.get_secret_value() if self.azure_ad_token else None
),
"azure_ad_token_provider": values["azure_ad_token_provider"],
"organization": values["openai_organization"],
"base_url": values["openai_api_base"],
"timeout": values["request_timeout"],
"max_retries": values["max_retries"],
"default_headers": values["default_headers"],
"default_query": values["default_query"],
"azure_ad_token_provider": self.azure_ad_token_provider,
"organization": self.openai_organization,
"base_url": self.openai_api_base,
"timeout": self.request_timeout,
"max_retries": self.max_retries,
"default_headers": self.default_headers,
"default_query": self.default_query,
}
if not values.get("client"):
sync_specific = {"http_client": values["http_client"]}
values["root_client"] = openai.AzureOpenAI(**client_params, **sync_specific)
values["client"] = values["root_client"].chat.completions
if not values.get("async_client"):
async_specific = {"http_client": values["http_async_client"]}
values["root_async_client"] = openai.AsyncAzureOpenAI(
**client_params, **async_specific
if not self.client:
sync_specific = {"http_client": self.http_client}
self.root_client = openai.AzureOpenAI(**client_params, **sync_specific) # type: ignore[arg-type]
self.client = self.root_client.chat.completions
if not self.async_client:
async_specific = {"http_client": self.http_async_client}
self.root_async_client = openai.AsyncAzureOpenAI(
**client_params,
**async_specific, # type: ignore[arg-type]
)
values["async_client"] = values["root_async_client"].chat.completions
return values
self.async_client = self.root_async_client.chat.completions
return self
def bind_tools(
self,
@@ -735,7 +733,7 @@ class AzureChatOpenAI(BaseChatOpenAI):
from typing import Optional
from langchain_openai import AzureChatOpenAI
from langchain_core.pydantic_v1 import BaseModel, Field
from pydantic import BaseModel, Field
class AnswerWithJustification(BaseModel):
@@ -766,7 +764,7 @@ class AzureChatOpenAI(BaseChatOpenAI):
.. code-block:: python
from langchain_openai import AzureChatOpenAI
from langchain_core.pydantic_v1 import BaseModel
from pydantic import BaseModel
class AnswerWithJustification(BaseModel):
@@ -853,7 +851,7 @@ class AzureChatOpenAI(BaseChatOpenAI):
.. code-block::
from langchain_openai import AzureChatOpenAI
from langchain_core.pydantic_v1 import BaseModel
from pydantic import BaseModel
class AnswerWithJustification(BaseModel):
answer: str