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

Browse Source 
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
Download Patch File Download Diff File Expand all files Collapse all files

60
libs/partners/mistralai/langchain_mistralai/chat_models.py
View File

@@ -66,17 +66,19 @@ from langchain_core.output_parsers.openai_tools import (
parse_tool_call,
)
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 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,
ConfigDict,
Field,
SecretStr,
model_validator,
)
from typing_extensions import Self
logger = logging.getLogger(__name__)
@@ -381,11 +383,10 @@ class ChatMistralAI(BaseChatModel):
safe_mode: bool = False
streaming: bool = False
class Config:
"""Configuration for this pydantic object."""
allow_population_by_field_name = True
arbitrary_types_allowed = True
model_config = ConfigDict(
populate_by_name=True,
arbitrary_types_allowed=True,
)
@property
def _default_params(self) -> Dict[str, Any]:
@@ -471,47 +472,50 @@ class ChatMistralAI(BaseChatModel):
combined = {"token_usage": overall_token_usage, "model_name": self.model}
return combined
@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 api key, python package exists, temperature, and top_p."""
api_key_str = values["mistral_api_key"].get_secret_value()
if isinstance(self.mistral_api_key, SecretStr):
api_key_str: Optional[str] = self.mistral_api_key.get_secret_value()
else:
api_key_str = self.mistral_api_key
# todo: handle retries
base_url_str = (
values.get("endpoint")
self.endpoint
or os.environ.get("MISTRAL_BASE_URL")
or "https://api.mistral.ai/v1"
)
values["endpoint"] = base_url_str
if not values.get("client"):
values["client"] = httpx.Client(
self.endpoint = base_url_str
if not self.client:
self.client = httpx.Client(
base_url=base_url_str,
headers={
"Content-Type": "application/json",
"Accept": "application/json",
"Authorization": f"Bearer {api_key_str}",
},
timeout=values["timeout"],
timeout=self.timeout,
)
# todo: handle retries and max_concurrency
if not values.get("async_client"):
values["async_client"] = httpx.AsyncClient(
if not self.async_client:
self.async_client = httpx.AsyncClient(
base_url=base_url_str,
headers={
"Content-Type": "application/json",
"Accept": "application/json",
"Authorization": f"Bearer {api_key_str}",
},
timeout=values["timeout"],
timeout=self.timeout,
)
if values["temperature"] is not None and not 0 <= values["temperature"] <= 1:
if self.temperature is not None and not 0 <= self.temperature <= 1:
raise ValueError("temperature must be in the range [0.0, 1.0]")
if values["top_p"] is not None and not 0 <= values["top_p"] <= 1:
if self.top_p is not None and not 0 <= self.top_p <= 1:
raise ValueError("top_p must be in the range [0.0, 1.0]")
return values
return self
def _generate(
self,
@@ -730,7 +734,7 @@ class ChatMistralAI(BaseChatModel):
from typing import Optional
from langchain_mistralai import ChatMistralAI
from langchain_core.pydantic_v1 import BaseModel, Field
from pydantic import BaseModel, Field
class AnswerWithJustification(BaseModel):
@@ -761,7 +765,7 @@ class ChatMistralAI(BaseChatModel):
.. code-block:: python
from langchain_mistralai import ChatMistralAI
from langchain_core.pydantic_v1 import BaseModel
from pydantic import BaseModel
class AnswerWithJustification(BaseModel):
@@ -848,7 +852,7 @@ class ChatMistralAI(BaseChatModel):
.. code-block::
from langchain_mistralai import ChatMistralAI
from langchain_core.pydantic_v1 import BaseModel
from pydantic import BaseModel
class AnswerWithJustification(BaseModel):
answer: str

55
libs/partners/mistralai/langchain_mistralai/embeddings.py
View File

@@ -1,20 +1,22 @@
import asyncio
import logging
import warnings
from typing import Dict, Iterable, List
from typing import Iterable, List
import httpx
from langchain_core.embeddings import Embeddings
from langchain_core.pydantic_v1 import (
BaseModel,
Field,
SecretStr,
root_validator,
)
from langchain_core.utils import (
secret_from_env,
)
from pydantic import (
BaseModel,
ConfigDict,
Field,
SecretStr,
model_validator,
)
from tokenizers import Tokenizer # type: ignore
from typing_extensions import Self
logger = logging.getLogger(__name__)
@@ -125,41 +127,42 @@ class MistralAIEmbeddings(BaseModel, Embeddings):
model: str = "mistral-embed"
class Config:
extra = "forbid"
arbitrary_types_allowed = True
allow_population_by_field_name = True
model_config = ConfigDict(
extra="forbid",
arbitrary_types_allowed=True,
populate_by_name=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 configuration."""
api_key_str = values["mistral_api_key"].get_secret_value()
api_key_str = self.mistral_api_key.get_secret_value()
# todo: handle retries
if not values.get("client"):
values["client"] = httpx.Client(
base_url=values["endpoint"],
if not self.client:
self.client = httpx.Client(
base_url=self.endpoint,
headers={
"Content-Type": "application/json",
"Accept": "application/json",
"Authorization": f"Bearer {api_key_str}",
},
timeout=values["timeout"],
timeout=self.timeout,
)
# todo: handle retries and max_concurrency
if not values.get("async_client"):
values["async_client"] = httpx.AsyncClient(
base_url=values["endpoint"],
if not self.async_client:
self.async_client = httpx.AsyncClient(
base_url=self.endpoint,
headers={
"Content-Type": "application/json",
"Accept": "application/json",
"Authorization": f"Bearer {api_key_str}",
},
timeout=values["timeout"],
timeout=self.timeout,
)
if values["tokenizer"] is None:
if self.tokenizer is None:
try:
values["tokenizer"] = Tokenizer.from_pretrained(
self.tokenizer = Tokenizer.from_pretrained(
"mistralai/Mixtral-8x7B-v0.1"
)
except IOError: # huggingface_hub GatedRepoError
@@ -169,8 +172,8 @@ class MistralAIEmbeddings(BaseModel, Embeddings):
"HF_TOKEN environment variable to download the real tokenizer. "
"Falling back to a dummy tokenizer that uses `len()`."
)
values["tokenizer"] = DummyTokenizer()
return values
self.tokenizer = DummyTokenizer()
return self
def _get_batches(self, texts: List[str]) -> Iterable[List[str]]:
"""Split a list of texts into batches of less than 16k tokens

299
libs/partners/mistralai/poetry.lock generated
View File

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]]
name = "annotated-types"
@@ -11,9 +11,6 @@ files = [
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
]
[package.dependencies]
typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
[[package]]
name = "anyio"
version = "4.4.0"
@@ -190,19 +187,19 @@ test = ["pytest (>=6)"]
[[package]]
name = "filelock"
version = "3.15.4"
version = "3.16.0"
description = "A platform independent file lock."
optional = false
python-versions = ">=3.8"
files = [
{file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"},
{file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"},
{file = "filelock-3.16.0-py3-none-any.whl", hash = "sha256:f6ed4c963184f4c84dd5557ce8fece759a3724b37b80c6c4f20a2f63a4dc6609"},
{file = "filelock-3.16.0.tar.gz", hash = "sha256:81de9eb8453c769b63369f87f11131a7ab04e367f8d97ad39dc230daa07e3bec"},
]
[package.extras]
docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)", "virtualenv (>=20.26.2)"]
typing = ["typing-extensions (>=4.8)"]
docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4)"]
testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.1.1)", "pytest (>=8.3.2)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.3)"]
typing = ["typing-extensions (>=4.12.2)"]
[[package]]
name = "fsspec"
@@ -394,19 +391,19 @@ files = [
[[package]]
name = "langchain-core"
version = "0.2.38"
version = "0.3.0.dev5"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.8.1,<4.0"
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
jsonpatch = "^1.33"
langsmith = "^0.1.75"
langsmith = "^0.1.117"
packaging = ">=23.2,<25"
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
@@ -422,13 +419,13 @@ name = "langchain-standard-tests"
version = "0.1.1"
description = "Standard tests for LangChain implementations"
optional = false
python-versions = ">=3.8.1,<4.0"
python-versions = ">=3.9,<4.0"
files = []
develop = true
[package.dependencies]
httpx = "^0.27.0"
langchain-core = ">=0.1.40,<0.3"
langchain-core = ">=0.3.0.dev1"
pytest = ">=7,<9"
syrupy = "^4"
@@ -438,13 +435,13 @@ url = "../../standard-tests"
[[package]]
name = "langsmith"
version = "0.1.111"
version = "0.1.117"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.111-py3-none-any.whl", hash = "sha256:e5c702764911193c9812fe55136ae01cd0b9ddf5dff0b068ce6fd60eeddbcb40"},
{file = "langsmith-0.1.111.tar.gz", hash = "sha256:bab24fd6125685f588d682693c4a3253e163804242829b1ff902e1a3e984a94c"},
{file = "langsmith-0.1.117-py3-none-any.whl", hash = "sha256:e936ee9bcf8293b0496df7ba462a3702179fbe51f9dc28744b0fbec0dbf206ae"},
{file = "langsmith-0.1.117.tar.gz", hash = "sha256:a1b532f49968b9339bcaff9118d141846d52ed3d803f342902e7448edf1d662b"},
]
[package.dependencies]
@@ -608,18 +605,18 @@ testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "pydantic"
version = "2.8.2"
version = "2.9.1"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic-2.8.2-py3-none-any.whl", hash = "sha256:73ee9fddd406dc318b885c7a2eab8a6472b68b8fb5ba8150949fc3db939f23c8"},
{file = "pydantic-2.8.2.tar.gz", hash = "sha256:6f62c13d067b0755ad1c21a34bdd06c0c12625a22b0fc09c6b149816604f7c2a"},
{file = "pydantic-2.9.1-py3-none-any.whl", hash = "sha256:7aff4db5fdf3cf573d4b3c30926a510a10e19a0774d38fc4967f78beb6deb612"},
{file = "pydantic-2.9.1.tar.gz", hash = "sha256:1363c7d975c7036df0db2b4a61f2e062fbc0aa5ab5f2772e0ffc7191a4f4bce2"},
]
[package.dependencies]
annotated-types = ">=0.4.0"
pydantic-core = "2.20.1"
annotated-types = ">=0.6.0"
pydantic-core = "2.23.3"
typing-extensions = [
{version = ">=4.6.1", markers = "python_version < \"3.13\""},
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
@@ -627,103 +624,104 @@ typing-extensions = [
[package.extras]
email = ["email-validator (>=2.0.0)"]
timezone = ["tzdata"]
[[package]]
name = "pydantic-core"
version = "2.20.1"
version = "2.23.3"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
files = [
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]
[package.extras]
@@ -1159,5 +1152,5 @@ watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "644c2bff44971ab41eecdc6cc46649addcbf155136cd918733f928fea4c47228"
python-versions = ">=3.9,<4.0"
content-hash = "504fdae5c6e17ac01afda63594261596ea1c380e76d659cf093252c83552253c"

18
libs/partners/mistralai/pyproject.toml
View File

@@ -1,10 +1,10 @@
[build-system]
requires = [ "poetry-core>=1.0.0",]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-mistralai"
version = "0.1.13"
version = "0.2.0.dev1"
description = "An integration package connecting Mistral and LangChain"
authors = []
readme = "README.md"
@@ -19,21 +19,25 @@ disallow_untyped_defs = "True"
"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-mistralai%3D%3D0%22&expanded=true"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain-core = "^0.2.38"
python = ">=3.9,<4.0"
langchain-core = { version = "^0.3.0.dev4", allow-prereleases = true }
tokenizers = ">=0.15.1,<1"
httpx = ">=0.25.2,<1"
httpx-sse = ">=0.3.1,<1"
[tool.ruff.lint]
select = [ "E", "F", "I", "T201",]
select = ["E", "F", "I", "T201"]
[tool.coverage.run]
omit = [ "tests/*",]
omit = ["tests/*"]
[tool.pytest.ini_options]
addopts = "--strict-markers --strict-config --durations=5"
markers = [ "requires: mark tests as requiring a specific library", "asyncio: mark tests as requiring asyncio", "compile: mark placeholder test used to compile integration tests without running them",]
markers = [
"requires: mark tests as requiring a specific library",
"asyncio: mark tests as requiring asyncio",
"compile: mark placeholder test used to compile integration tests without running them",
]
asyncio_mode = "auto"
[tool.poetry.group.test]

27
libs/partners/mistralai/scripts/check_pydantic.sh
View File

@@ -1,27 +0,0 @@
#!/bin/bash
#
# This script searches for lines starting with "import pydantic" or "from pydantic"
# in tracked files within a Git repository.
#
# Usage: ./scripts/check_pydantic.sh /path/to/repository
# Check if a path argument is provided
if [ $# -ne 1 ]; then
echo "Usage: $0 /path/to/repository"
exit 1
fi
repository_path="$1"
# Search for lines matching the pattern within the specified repository
result=$(git -C "$repository_path" grep -E '^import pydantic|^from pydantic')
# Check if any matching lines were found
if [ -n "$result" ]; then
echo "ERROR: The following lines need to be updated:"
echo "$result"
echo "Please replace the code with an import from langchain_core.pydantic_v1."
echo "For example, replace 'from pydantic import BaseModel'"
echo "with 'from langchain_core.pydantic_v1 import BaseModel'"
exit 1
fi

2
libs/partners/mistralai/tests/integration_tests/test_chat_models.py
View File

@@ -9,7 +9,7 @@ from langchain_core.messages import (
BaseMessageChunk,
HumanMessage,
)
from langchain_core.pydantic_v1 import BaseModel
from pydantic import BaseModel
from langchain_mistralai.chat_models import ChatMistralAI

37
libs/partners/mistralai/tests/unit_tests/__snapshots__/test_standard.ambr
View File

@@ -1,43 +1,6 @@
# serializer version: 1
# name: TestMistralStandard.test_serdes[serialized]
dict({
'graph': dict({
'edges': list([
dict({
'source': 0,
'target': 1,
}),
dict({
'source': 1,
'target': 2,
}),
]),
'nodes': list([
dict({
'data': 'ChatMistralAIInput',
'id': 0,
'type': 'schema',
}),
dict({
'data': dict({
'id': list([
'langchain',
'chat_models',
'mistralai',
'ChatMistralAI',
]),
'name': 'ChatMistralAI',
}),
'id': 1,
'type': 'runnable',
}),
dict({
'data': 'ChatMistralAIOutput',
'id': 2,
'type': 'schema',
}),
]),
}),
'id': list([
'langchain',
'chat_models',

2
libs/partners/mistralai/tests/unit_tests/test_chat_models.py
View File

@@ -15,7 +15,7 @@ from langchain_core.messages import (
SystemMessage,
ToolCall,
)
from langchain_core.pydantic_v1 import SecretStr
from pydantic import SecretStr
from langchain_mistralai.chat_models import ( # type: ignore[import]
ChatMistralAI,

2
libs/partners/mistralai/tests/unit_tests/test_embeddings.py
View File

@@ -1,7 +1,7 @@
import os
from typing import cast
from langchain_core.pydantic_v1 import SecretStr
from pydantic import SecretStr
from langchain_mistralai import MistralAIEmbeddings