prompty: docstring (#23152)

Added missed docstrings. Format docstrings to the consistent format
(used in the API Reference)

---------

Co-authored-by: ccurme <chester.curme@gmail.com>

libs/partners/prompty/langchain_prompty/core.py

@@ -14,10 +14,14 @@ T = TypeVar("T")
 
 
 class SimpleModel(BaseModel, Generic[T]):
+    """Simple model for a single item."""
+
     item: T
 
 
 class PropertySettings(BaseModel):
+    """Property settings for a prompty model."""
+
     model_config = ConfigDict(arbitrary_types_allowed=True)
     type: Literal["string", "number", "array", "object", "boolean"]
     default: Union[str, int, float, List, Dict, bool] = Field(default=None)
@@ -25,6 +29,8 @@ class PropertySettings(BaseModel):
 
 
 class ModelSettings(BaseModel):
+    """Model settings for a prompty model."""
+
     api: str = Field(default="")
     configuration: dict = Field(default={})
     parameters: dict = Field(default={})
@@ -40,11 +46,15 @@ class ModelSettings(BaseModel):
 
 
 class TemplateSettings(BaseModel):
+    """Template settings for a prompty model."""
+
     type: str = Field(default="mustache")
     parser: str = Field(default="")
 
 
 class Prompty(BaseModel):
+    """Base Prompty model."""
+
     # metadata
     name: str = Field(default="")
     description: str = Field(default="")
@@ -147,6 +157,16 @@ class Prompty(BaseModel):
 def param_hoisting(
     top: Dict[str, Any], bottom: Dict[str, Any], top_key: Any = None
 ) -> Dict[str, Any]:
+    """Merge two dictionaries with hoisting of parameters from bottom to top.
+
+    Args:
+        top: The top dictionary.
+        bottom: The bottom dictionary.
+        top_key: The key to hoist from the bottom to the top.
+
+    Returns:
+        The merged dictionary.
+    """
     if top_key:
         new_dict = {**top[top_key]} if top_key in top else {}
     else:
@@ -158,6 +178,8 @@ def param_hoisting(
 
 
 class Invoker(abc.ABC):
+    """Base class for all invokers."""
+
     def __init__(self, prompty: Prompty) -> None:
         self.prompty = prompty
 
@@ -170,11 +192,15 @@ class Invoker(abc.ABC):
 
 
 class NoOpParser(Invoker):
+    """NoOp parser for invokers."""
+
     def invoke(self, data: BaseModel) -> BaseModel:
         return data
 
 
 class InvokerFactory(object):
+    """Factory for creating invokers."""
+
     _instance = None
     _renderers: Dict[str, Type[Invoker]] = {}
     _parsers: Dict[str, Type[Invoker]] = {}
@@ -259,6 +285,8 @@ class InvokerFactory(object):
 
 
 class Frontmatter:
+    """Class for reading frontmatter from a string or file."""
+
     _yaml_delim = r"(?:---|\+\+\+)"
     _yaml = r"(.*?)"
     _content = r"\s*(.+)$"

libs/partners/prompty/langchain_prompty/langchain.py

@@ -9,6 +9,8 @@ from .utils import load, prepare
 def create_chat_prompt(
     path: str, input_name_agent_scratchpad: str = "agent_scratchpad"
 ) -> Runnable[Dict[str, Any], ChatPromptTemplate]:
+    """Create a chat prompt from a Langchain schema."""
+
     def runnable_chat_lambda(inputs: Dict[str, Any]) -> ChatPromptTemplate:
         p = load(path)
         parsed = prepare(p, inputs)

libs/partners/prompty/langchain_prompty/parsers.py

@@ -8,6 +8,8 @@ from .core import Invoker, Prompty, SimpleModel
 
 
 class PromptyChatParser(Invoker):
+    """Parse a chat prompt into a list of messages."""
+
     def __init__(self, prompty: Prompty) -> None:
         self.prompty = prompty
         self.roles = ["assistant", "function", "system", "user", "human", "ai"]

libs/partners/prompty/langchain_prompty/renderers.py

@@ -5,6 +5,8 @@ from .core import Invoker, Prompty, SimpleModel
 
 
 class MustacheRenderer(Invoker):
+    """Render a mustache template."""
+
     def __init__(self, prompty: Prompty) -> None:
         self.prompty = prompty
 

libs/partners/prompty/langchain_prompty/utils.py

@@ -15,6 +15,15 @@ from .core import (
 
 
 def load(prompt_path: str, configuration: str = "default") -> Prompty:
+    """Load a prompty file and return a Prompty object.
+
+    Args:
+        prompt_path: The path to the prompty file.
+        configuration: The configuration to use. Defaults to "default".
+
+    Returns:
+        The Prompty object.
+    """
     file_path = Path(prompt_path)
     if not file_path.is_absolute():
         # get caller's path (take into account trace frame)
@@ -113,6 +122,15 @@ def prepare(
     prompt: Prompty,
     inputs: Dict[str, Any] = {},
 ) -> Any:
+    """Prepare the inputs for the prompty.
+
+    Args:
+        prompt: The Prompty object.
+        inputs: The inputs to the prompty. Defaults to {}.
+
+    Returns:
+        The prepared inputs.
+    """
     invoker = InvokerFactory()
 
     inputs = param_hoisting(inputs, prompt.sample)
@@ -153,6 +171,18 @@ def run(
     parameters: Dict[str, Any] = {},
     raw: bool = False,
 ) -> Any:
+    """Run the prompty.
+
+    Args:
+        prompt: The Prompty object.
+        content: The content to run the prompty on.
+        configuration: The configuration to use. Defaults to {}.
+        parameters: The parameters to use. Defaults to {}.
+        raw: Whether to return the raw output. Defaults to False.
+
+    Returns:
+        The result of running the prompty.
+    """
     invoker = InvokerFactory()
 
     if configuration != {}:
@@ -195,6 +225,21 @@ def execute(
     raw: bool = False,
     connection: str = "default",
 ) -> Any:
+    """Execute a prompty.
+
+    Args:
+        prompt: The prompt to execute.
+            Can be a path to a prompty file or a Prompty object.
+        configuration: The configuration to use. Defaults to {}.
+        parameters: The parameters to use. Defaults to {}.
+        inputs: The inputs to the prompty. Defaults to {}.
+        raw: Whether to return the raw output. Defaults to False.
+        connection: The connection to use. Defaults to "default".
+
+    Returns:
+        The result of executing the prompty.
+    """
+
     if isinstance(prompt, str):
         prompt = load(prompt, connection)
 

libs/partners/prompty/poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
@@ -292,21 +292,6 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
-[[package]]
-name = "dataclasses-json"
-version = "0.6.6"
-description = "Easily serialize dataclasses to and from JSON."
-optional = false
-python-versions = "<4.0,>=3.7"
-files = [
-    {file = "dataclasses_json-0.6.6-py3-none-any.whl", hash = "sha256:e54c5c87497741ad454070ba0ed411523d46beb5da102e221efb873801b0ba85"},
-    {file = "dataclasses_json-0.6.6.tar.gz", hash = "sha256:0c09827d26fffda27f1be2fed7a7a01a29c5ddcd2eb6393ad5ebf9d77e9deae8"},
-]
-
-[package.dependencies]
-marshmallow = ">=3.18.0,<4.0.0"
-typing-inspect = ">=0.4.0,<1"
-
 [[package]]
 name = "exceptiongroup"
 version = "1.2.1"
@@ -541,7 +526,7 @@ files = [
 
 [[package]]
 name = "langchain"
-version = "0.2.0rc2"
+version = "0.2.5"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -551,31 +536,18 @@ develop = true
 [package.dependencies]
 aiohttp = "^3.8.3"
 async-timeout = {version = "^4.0.0", markers = "python_version < \"3.11\""}
-dataclasses-json = ">= 0.5.7, < 0.7"
-langchain-core = ">=0.1.52,<0.3"
-langchain-text-splitters = ">=0.0.1,<0.1"
+langchain-core = "^0.2.7"
+langchain-text-splitters = "^0.2.0"
 langsmith = "^0.1.17"
-numpy = "^1"
+numpy = [
+    {version = ">=1,<2", markers = "python_version < \"3.12\""},
+    {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
+]
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
 requests = "^2"
 SQLAlchemy = ">=1.4,<3"
-tenacity = "^8.1.0"
-
-[package.extras]
-all = []
-azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"]
-clarifai = ["clarifai (>=9.1.0)"]
-cli = ["typer (>=0.9.0,<0.10.0)"]
-cohere = ["cohere (>=4,<6)"]
-docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
-embeddings = ["sentence-transformers (>=2,<3)"]
-extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<6)", "couchbase (>=4.1.9,<5.0.0)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "langchain-openai (>=0.1,<0.2)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
-javascript = ["esprima (>=4.0.1,<5.0.0)"]
-llms = ["clarifai (>=9.1.0)", "cohere (>=4,<6)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
-openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
-qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
-text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
+tenacity = "^8.1.0,!=8.4.0"
 
 [package.source]
 type = "directory"
@@ -583,7 +555,7 @@ url = "../../langchain"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.0rc1"
+version = "0.2.9"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -592,14 +564,14 @@ develop = true
 
 [package.dependencies]
 jsonpatch = "^1.33"
-langsmith = "^0.1.0"
-packaging = "^23.2"
-pydantic = ">=1,<3"
+langsmith = "^0.1.75"
+packaging = ">=23.2,<25"
+pydantic = [
+    {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
+    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
+]
 PyYAML = ">=5.3"
-tenacity = "^8.1.0"
-
-[package.extras]
-extended-testing = ["jinja2 (>=3,<4)"]
+tenacity = "^8.1.0,!=8.4.0"
 
 [package.source]
 type = "directory"
@@ -607,7 +579,7 @@ url = "../../core"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.0.2"
+version = "0.2.1"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = ">=3.8.1,<4.0"
@@ -615,10 +587,7 @@ files = []
 develop = true
 
 [package.dependencies]
-langchain-core = ">=0.1.28,<0.3"
-
-[package.extras]
-extended-testing = ["beautifulsoup4 (>=4.12.3,<5.0.0)", "lxml (>=4.9.3,<6.0)"]
+langchain-core = "^0.2.0"
 
 [package.source]
 type = "directory"
@@ -626,13 +595,13 @@ url = "../../text-splitters"
 
 [[package]]
 name = "langsmith"
-version = "0.1.58"
+version = "0.1.80"
 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-0.1.58-py3-none-any.whl", hash = "sha256:1148cc836ec99d1b2f37cd2fa3014fcac213bb6bad798a2b21bb9111c18c9768"},
-    {file = "langsmith-0.1.58.tar.gz", hash = "sha256:a5060933c1fb3006b498ec849677993329d7e6138bdc2ec044068ab806e09c39"},
+    {file = "langsmith-0.1.80-py3-none-any.whl", hash = "sha256:951fc29576b52afd8378d41f6db343090fea863e3620f0ca97e83b221f93c94d"},
+    {file = "langsmith-0.1.80.tar.gz", hash = "sha256:a29b1dde27612308beee424f1388ad844c8e7e375bf2ac8bdf4da174013f279d"},
 ]
 
 [package.dependencies]
@@ -640,25 +609,6 @@ orjson = ">=3.9.14,<4.0.0"
 pydantic = ">=1,<3"
 requests = ">=2,<3"
 
-[[package]]
-name = "marshmallow"
-version = "3.21.2"
-description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "marshmallow-3.21.2-py3-none-any.whl", hash = "sha256:70b54a6282f4704d12c0a41599682c5c5450e843b9ec406308653b47c59648a1"},
-    {file = "marshmallow-3.21.2.tar.gz", hash = "sha256:82408deadd8b33d56338d2182d455db632c6313aa2af61916672146bb32edc56"},
-]
-
-[package.dependencies]
-packaging = ">=17.0"
-
-[package.extras]
-dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
-docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
-tests = ["pytest", "pytz", "simplejson"]
-
 [[package]]
 name = "multidict"
 version = "6.0.5"
@@ -856,6 +806,51 @@ files = [
     {file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"},
 ]
 
+[[package]]
+name = "numpy"
+version = "1.26.4"
+description = "Fundamental package for array computing in Python"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
+    {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
+    {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"},
+    {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"},
+    {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"},
+    {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"},
+    {file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"},
+    {file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"},
+    {file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"},
+    {file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"},
+    {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"},
+    {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"},
+    {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"},
+    {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"},
+    {file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"},
+    {file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"},
+    {file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"},
+    {file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"},
+    {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"},
+    {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"},
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+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+
 [[package]]
 name = "pytest"
 version = "7.4.4"
@@ -1400,21 +1505,6 @@ files = [
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-python-versions = "*"
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-typing-extensions = ">=3.7.4"
-
 [[package]]
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 version = "2.2.1"