mirror of
https://github.com/hwchase17/langchain
synced 2024-11-13 19:10:52 +00:00
Merge branch 'master' into fix/azureml-serverless-api-http400-bug
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commit
a7ce3f293c
27
.github/DISCUSSION_TEMPLATE/q-a.yml
vendored
27
.github/DISCUSSION_TEMPLATE/q-a.yml
vendored
@ -96,22 +96,27 @@ body:
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- type: textarea
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id: system-info
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attributes:
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label: System Info
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description: |
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Please share your system info with us. Do NOT skip this step and please don't trim
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the output. Most users don't include enough information here and it makes it harder
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for us to help you.
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Please share your system info with us.
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Run the following command in your terminal and paste the output here:
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"pip freeze | grep langchain"
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platform (windows / linux / mac)
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python version
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OR if you're on a recent version of langchain-core you can paste the output of:
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python -m langchain_core.sys_info
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or if you have an existing python interpreter running:
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from langchain_core import sys_info
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sys_info.print_sys_info()
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alternatively, put the entire output of `pip freeze` here.
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placeholder: |
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"pip freeze | grep langchain"
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platform
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python version
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Alternatively, if you're on a recent version of langchain-core you can paste the output of:
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python -m langchain_core.sys_info
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These will only surface LangChain packages, don't forget to include any other relevant
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packages you're using (if you're not sure what's relevant, you can paste the entire output of `pip freeze`).
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validations:
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required: true
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@ -19,6 +19,17 @@ DEFAULT_NAMESPACES = [
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"langchain_anthropic",
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"langchain_groq",
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"langchain_google_genai",
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"langchain_aws",
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"langchain_openai",
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"langchain_google_vertexai",
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"langchain_mistralai",
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"langchain_fireworks",
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]
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# Namespaces for which only deserializing via the SERIALIZABLE_MAPPING is allowed.
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# Load by path is not allowed.
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DISALLOW_LOAD_FROM_PATH = [
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"langchain_community",
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"langchain",
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]
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ALL_SERIALIZABLE_MAPPINGS = {
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@ -103,40 +114,31 @@ class Reviver:
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and value.get("id", None) is not None
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):
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[*namespace, name] = value["id"]
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mapping_key = tuple(value["id"])
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if namespace[0] not in self.valid_namespaces:
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raise ValueError(f"Invalid namespace: {value}")
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# The root namespace "langchain" is not a valid identifier.
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if len(namespace) == 1 and namespace[0] == "langchain":
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# The root namespace ["langchain"] is not a valid identifier.
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elif namespace == ["langchain"]:
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raise ValueError(f"Invalid namespace: {value}")
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# If namespace is in known namespaces, try to use mapping
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key = tuple(namespace + [name])
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if namespace[0] in DEFAULT_NAMESPACES:
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# Get the importable path
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if key not in self.import_mappings:
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raise ValueError(
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"Trying to deserialize something that cannot "
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"be deserialized in current version of langchain-core: "
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f"{key}"
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)
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import_path = self.import_mappings[key]
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# Has explicit import path.
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elif mapping_key in self.import_mappings:
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import_path = self.import_mappings[mapping_key]
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# Split into module and name
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import_dir, import_obj = import_path[:-1], import_path[-1]
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import_dir, name = import_path[:-1], import_path[-1]
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# Import module
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mod = importlib.import_module(".".join(import_dir))
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# Import class
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cls = getattr(mod, import_obj)
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# Otherwise, load by path
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elif namespace[0] in DISALLOW_LOAD_FROM_PATH:
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raise ValueError(
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"Trying to deserialize something that cannot "
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"be deserialized in current version of langchain-core: "
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f"{mapping_key}."
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)
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# Otherwise, treat namespace as path.
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else:
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if key in self.additional_import_mappings:
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import_path = self.import_mappings[key]
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mod = importlib.import_module(".".join(import_path[:-1]))
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name = import_path[-1]
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else:
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mod = importlib.import_module(".".join(namespace))
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cls = getattr(mod, name)
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mod = importlib.import_module(".".join(namespace))
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cls = getattr(mod, name)
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# The class must be a subclass of Serializable.
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if not issubclass(cls, Serializable):
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@ -1026,4 +1026,24 @@ _JS_SERIALIZABLE_MAPPING: dict[tuple[str, ...], tuple[str, ...]] = {
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"image",
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"ImagePromptTemplate",
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),
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("langchain", "chat_models", "bedrock", "ChatBedrock"): (
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"langchain_aws",
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"chat_models",
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"ChatBedrock",
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),
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("langchain", "chat_models", "google_genai", "ChatGoogleGenerativeAI"): (
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"langchain_google_genai",
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"chat_models",
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"ChatGoogleGenerativeAI",
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),
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("langchain", "chat_models", "groq", "ChatGroq"): (
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"langchain_groq",
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"chat_models",
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"ChatGroq",
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),
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("langchain", "chat_models", "bedrock", "BedrockChat"): (
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"langchain_aws",
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"chat_models",
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"ChatBedrock",
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),
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}
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@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
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[tool.poetry]
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name = "langchain-core"
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version = "0.3.1"
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version = "0.3.2"
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description = "Building applications with LLMs through composability"
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authors = []
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license = "MIT"
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@ -18,6 +18,9 @@ disallow_untyped_defs = "True"
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module = [ "numpy", "pytest",]
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ignore_missing_imports = true
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[tool.ruff]
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target-version = "py39"
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[tool.poetry.urls]
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"Source Code" = "https://github.com/langchain-ai/langchain/tree/master/libs/core"
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"Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-core%3D%3D0%22&expanded=true"
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@ -40,20 +43,9 @@ python = ">=3.12.4"
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[tool.poetry.extras]
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[tool.ruff]
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target-version = "py39"
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[tool.ruff.lint]
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select = ["B", "E", "F", "I", "N", "T201", "UP"]
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ignore = ["UP007"]
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[tool.ruff.lint.pep8-naming]
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classmethod-decorators = [
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"classmethod",
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"langchain_core.utils.pydantic.pre_init",
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"pydantic.field_validator",
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"pydantic.v1.root_validator",
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]
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select = [ "B", "E", "F", "I", "N", "T201", "UP",]
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ignore = [ "UP007",]
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[tool.coverage.run]
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omit = [ "tests/*",]
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@ -79,6 +71,9 @@ optional = true
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[tool.poetry.group.test_integration]
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optional = true
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[tool.ruff.lint.pep8-naming]
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classmethod-decorators = [ "classmethod", "langchain_core.utils.pydantic.pre_init", "pydantic.field_validator", "pydantic.v1.root_validator",]
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[tool.ruff.lint.per-file-ignores]
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"tests/unit_tests/prompts/test_chat.py" = [ "E501",]
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"tests/unit_tests/runnables/test_runnable.py" = [ "E501",]
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