Merge branch 'master' into fix/azureml-serverless-api-http400-bug

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KoKo Mexcelsa 2024-09-20 07:38:10 +08:00 committed by GitHub
commit a7ce3f293c
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4 changed files with 73 additions and 51 deletions

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@ -96,22 +96,27 @@ body:
- type: textarea
id: system-info
attributes:
label: System Info
description: |
Please share your system info with us. Do NOT skip this step and please don't trim
the output. Most users don't include enough information here and it makes it harder
for us to help you.
Please share your system info with us.
Run the following command in your terminal and paste the output here:
"pip freeze | grep langchain"
platform (windows / linux / mac)
python version
OR if you're on a recent version of langchain-core you can paste the output of:
python -m langchain_core.sys_info
or if you have an existing python interpreter running:
from langchain_core import sys_info
sys_info.print_sys_info()
alternatively, put the entire output of `pip freeze` here.
placeholder: |
"pip freeze | grep langchain"
platform
python version
Alternatively, if you're on a recent version of langchain-core you can paste the output of:
python -m langchain_core.sys_info
These will only surface LangChain packages, don't forget to include any other relevant
packages you're using (if you're not sure what's relevant, you can paste the entire output of `pip freeze`).
validations:
required: true

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@ -19,6 +19,17 @@ DEFAULT_NAMESPACES = [
"langchain_anthropic",
"langchain_groq",
"langchain_google_genai",
"langchain_aws",
"langchain_openai",
"langchain_google_vertexai",
"langchain_mistralai",
"langchain_fireworks",
]
# Namespaces for which only deserializing via the SERIALIZABLE_MAPPING is allowed.
# Load by path is not allowed.
DISALLOW_LOAD_FROM_PATH = [
"langchain_community",
"langchain",
]
ALL_SERIALIZABLE_MAPPINGS = {
@ -103,39 +114,30 @@ class Reviver:
and value.get("id", None) is not None
):
[*namespace, name] = value["id"]
mapping_key = tuple(value["id"])
if namespace[0] not in self.valid_namespaces:
raise ValueError(f"Invalid namespace: {value}")
# The root namespace "langchain" is not a valid identifier.
if len(namespace) == 1 and namespace[0] == "langchain":
# The root namespace ["langchain"] is not a valid identifier.
elif namespace == ["langchain"]:
raise ValueError(f"Invalid namespace: {value}")
# If namespace is in known namespaces, try to use mapping
key = tuple(namespace + [name])
if namespace[0] in DEFAULT_NAMESPACES:
# Get the importable path
if key not in self.import_mappings:
# Has explicit import path.
elif mapping_key in self.import_mappings:
import_path = self.import_mappings[mapping_key]
# Split into module and name
import_dir, name = import_path[:-1], import_path[-1]
# Import module
mod = importlib.import_module(".".join(import_dir))
elif namespace[0] in DISALLOW_LOAD_FROM_PATH:
raise ValueError(
"Trying to deserialize something that cannot "
"be deserialized in current version of langchain-core: "
f"{key}"
f"{mapping_key}."
)
import_path = self.import_mappings[key]
# Split into module and name
import_dir, import_obj = import_path[:-1], import_path[-1]
# Import module
mod = importlib.import_module(".".join(import_dir))
# Import class
cls = getattr(mod, import_obj)
# Otherwise, load by path
else:
if key in self.additional_import_mappings:
import_path = self.import_mappings[key]
mod = importlib.import_module(".".join(import_path[:-1]))
name = import_path[-1]
# Otherwise, treat namespace as path.
else:
mod = importlib.import_module(".".join(namespace))
cls = getattr(mod, name)
# The class must be a subclass of Serializable.

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@ -1026,4 +1026,24 @@ _JS_SERIALIZABLE_MAPPING: dict[tuple[str, ...], tuple[str, ...]] = {
"image",
"ImagePromptTemplate",
),
("langchain", "chat_models", "bedrock", "ChatBedrock"): (
"langchain_aws",
"chat_models",
"ChatBedrock",
),
("langchain", "chat_models", "google_genai", "ChatGoogleGenerativeAI"): (
"langchain_google_genai",
"chat_models",
"ChatGoogleGenerativeAI",
),
("langchain", "chat_models", "groq", "ChatGroq"): (
"langchain_groq",
"chat_models",
"ChatGroq",
),
("langchain", "chat_models", "bedrock", "BedrockChat"): (
"langchain_aws",
"chat_models",
"ChatBedrock",
),
}

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@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-core"
version = "0.3.1"
version = "0.3.2"
description = "Building applications with LLMs through composability"
authors = []
license = "MIT"
@ -18,6 +18,9 @@ disallow_untyped_defs = "True"
module = [ "numpy", "pytest",]
ignore_missing_imports = true
[tool.ruff]
target-version = "py39"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/core"
"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-core%3D%3D0%22&expanded=true"
@ -40,20 +43,9 @@ python = ">=3.12.4"
[tool.poetry.extras]
[tool.ruff]
target-version = "py39"
[tool.ruff.lint]
select = ["B", "E", "F", "I", "N", "T201", "UP"]
ignore = ["UP007"]
[tool.ruff.lint.pep8-naming]
classmethod-decorators = [
"classmethod",
"langchain_core.utils.pydantic.pre_init",
"pydantic.field_validator",
"pydantic.v1.root_validator",
]
select = [ "B", "E", "F", "I", "N", "T201", "UP",]
ignore = [ "UP007",]
[tool.coverage.run]
omit = [ "tests/*",]
@ -79,6 +71,9 @@ optional = true
[tool.poetry.group.test_integration]
optional = true
[tool.ruff.lint.pep8-naming]
classmethod-decorators = [ "classmethod", "langchain_core.utils.pydantic.pre_init", "pydantic.field_validator", "pydantic.v1.root_validator",]
[tool.ruff.lint.per-file-ignores]
"tests/unit_tests/prompts/test_chat.py" = [ "E501",]
"tests/unit_tests/runnables/test_runnable.py" = [ "E501",]