From f058e45dfba07f19a9162b6dd0f896cc13f580c0 Mon Sep 17 00:00:00 2001 From: ccurme Date: Fri, 6 Feb 2026 10:38:27 -0500 Subject: [PATCH] chore(infra): delete prompty (#35044) --- .github/ISSUE_TEMPLATE/bug-report.yml | 1 - .github/ISSUE_TEMPLATE/feature-request.yml | 1 - .github/ISSUE_TEMPLATE/privileged.yml | 1 - .github/ISSUE_TEMPLATE/task.yml | 1 - .github/pr-file-labeler.yml | 5 - .github/scripts/check_diff.py | 3 - .github/workflows/auto-label-by-package.yml | 1 - .github/workflows/pr_lint.yml | 3 +- .pre-commit-config.yaml | 6 - libs/partners/prompty/.gitignore | 1 - libs/partners/prompty/LICENSE | 21 - libs/partners/prompty/Makefile | 62 - libs/partners/prompty/README.md | 69 - .../prompty/langchain_prompty/__init__.py | 11 - .../prompty/langchain_prompty/core.py | 336 --- .../prompty/langchain_prompty/langchain.py | 35 - .../prompty/langchain_prompty/parsers.py | 133 -- .../prompty/langchain_prompty/renderers.py | 39 - .../prompty/langchain_prompty/utils.py | 252 --- libs/partners/prompty/pyproject.toml | 106 - .../partners/prompty/scripts/check_imports.py | 15 - libs/partners/prompty/scripts/lint_imports.sh | 17 - libs/partners/prompty/tests/__init__.py | 0 .../tests/integration_tests/__init__.py | 0 .../tests/integration_tests/test_compile.py | 7 - .../prompty/tests/unit_tests/__init__.py | 0 .../tests/unit_tests/fake_callback_handler.py | 397 ---- .../tests/unit_tests/fake_chat_model.py | 45 - .../tests/unit_tests/fake_output_parser.py | 40 - .../tests/unit_tests/prompts/__init__.py | 0 .../unit_tests/prompts/basic_chat.prompty | 28 - .../tests/unit_tests/prompts/chat.prompty | 32 - .../prompts/double_templating.prompty | 10 - .../prompty/tests/unit_tests/test_imports.py | 7 - .../unit_tests/test_invoker_thread_safety.py | 62 - .../unit_tests/test_prompty_serialization.py | 163 -- .../prompty/tests/unit_tests/test_standard.py | 15 - .../tests/unit_tests/test_templating.py | 23 - libs/partners/prompty/uv.lock | 1866 ----------------- 39 files changed, 1 insertion(+), 3813 deletions(-) delete mode 100644 libs/partners/prompty/.gitignore delete mode 100644 libs/partners/prompty/LICENSE delete mode 100644 libs/partners/prompty/Makefile delete mode 100644 libs/partners/prompty/README.md delete mode 100644 libs/partners/prompty/langchain_prompty/__init__.py delete mode 100644 libs/partners/prompty/langchain_prompty/core.py delete mode 100644 libs/partners/prompty/langchain_prompty/langchain.py delete mode 100644 libs/partners/prompty/langchain_prompty/parsers.py delete mode 100644 libs/partners/prompty/langchain_prompty/renderers.py delete mode 100644 libs/partners/prompty/langchain_prompty/utils.py delete mode 100644 libs/partners/prompty/pyproject.toml delete mode 100644 libs/partners/prompty/scripts/check_imports.py delete mode 100644 libs/partners/prompty/scripts/lint_imports.sh delete mode 100644 libs/partners/prompty/tests/__init__.py delete mode 100644 libs/partners/prompty/tests/integration_tests/__init__.py delete mode 100644 libs/partners/prompty/tests/integration_tests/test_compile.py delete mode 100644 libs/partners/prompty/tests/unit_tests/__init__.py delete mode 100644 libs/partners/prompty/tests/unit_tests/fake_callback_handler.py delete mode 100644 libs/partners/prompty/tests/unit_tests/fake_chat_model.py delete mode 100644 libs/partners/prompty/tests/unit_tests/fake_output_parser.py delete mode 100644 libs/partners/prompty/tests/unit_tests/prompts/__init__.py delete mode 100644 libs/partners/prompty/tests/unit_tests/prompts/basic_chat.prompty delete mode 100644 libs/partners/prompty/tests/unit_tests/prompts/chat.prompty delete mode 100644 libs/partners/prompty/tests/unit_tests/prompts/double_templating.prompty delete mode 100644 libs/partners/prompty/tests/unit_tests/test_imports.py delete mode 100644 libs/partners/prompty/tests/unit_tests/test_invoker_thread_safety.py delete mode 100644 libs/partners/prompty/tests/unit_tests/test_prompty_serialization.py delete mode 100644 libs/partners/prompty/tests/unit_tests/test_standard.py delete mode 100644 libs/partners/prompty/tests/unit_tests/test_templating.py delete mode 100644 libs/partners/prompty/uv.lock diff --git a/.github/ISSUE_TEMPLATE/bug-report.yml b/.github/ISSUE_TEMPLATE/bug-report.yml index 7c6d9825fcb..f21663ab0b7 100644 --- a/.github/ISSUE_TEMPLATE/bug-report.yml +++ b/.github/ISSUE_TEMPLATE/bug-report.yml @@ -66,7 +66,6 @@ body: - label: langchain-nomic - label: langchain-ollama - label: langchain-perplexity - - label: langchain-prompty - label: langchain-qdrant - label: langchain-xai - label: Other / not sure / general diff --git a/.github/ISSUE_TEMPLATE/feature-request.yml b/.github/ISSUE_TEMPLATE/feature-request.yml index e8efbebebac..7a5de757a8b 100644 --- a/.github/ISSUE_TEMPLATE/feature-request.yml +++ b/.github/ISSUE_TEMPLATE/feature-request.yml @@ -63,7 +63,6 @@ body: - label: langchain-nomic - label: langchain-ollama - label: langchain-perplexity - - label: langchain-prompty - label: langchain-qdrant - label: langchain-xai - label: Other / not sure / general diff --git a/.github/ISSUE_TEMPLATE/privileged.yml b/.github/ISSUE_TEMPLATE/privileged.yml index 0dcefe9d02a..aa6dd9540bb 100644 --- a/.github/ISSUE_TEMPLATE/privileged.yml +++ b/.github/ISSUE_TEMPLATE/privileged.yml @@ -43,7 +43,6 @@ body: - label: langchain-nomic - label: langchain-ollama - label: langchain-perplexity - - label: langchain-prompty - label: langchain-qdrant - label: langchain-xai - label: Other / not sure / general diff --git a/.github/ISSUE_TEMPLATE/task.yml b/.github/ISSUE_TEMPLATE/task.yml index 0c74906e6e7..d84170c6758 100644 --- a/.github/ISSUE_TEMPLATE/task.yml +++ b/.github/ISSUE_TEMPLATE/task.yml @@ -114,7 +114,6 @@ body: - label: langchain-nomic - label: langchain-ollama - label: langchain-perplexity - - label: langchain-prompty - label: langchain-qdrant - label: langchain-xai - label: Other / not sure / general diff --git a/.github/pr-file-labeler.yml b/.github/pr-file-labeler.yml index 7420c9f5492..e1c9da099a5 100644 --- a/.github/pr-file-labeler.yml +++ b/.github/pr-file-labeler.yml @@ -98,11 +98,6 @@ perplexity: - any-glob-to-any-file: - "libs/partners/perplexity/**/*" -prompty: - - changed-files: - - any-glob-to-any-file: - - "libs/partners/prompty/**/*" - qdrant: - changed-files: - any-glob-to-any-file: diff --git a/.github/scripts/check_diff.py b/.github/scripts/check_diff.py index b384053743d..a2d25d118dd 100644 --- a/.github/scripts/check_diff.py +++ b/.github/scripts/check_diff.py @@ -46,9 +46,6 @@ IGNORED_PARTNERS = [ # specifically in huggingface jobs # https://github.com/langchain-ai/langchain/issues/25558 "huggingface", - # prompty exhibiting issues with numpy for Python 3.13 - # https://github.com/langchain-ai/langchain/actions/runs/12651104685/job/35251034969?pr=29065 - "prompty", ] diff --git a/.github/workflows/auto-label-by-package.yml b/.github/workflows/auto-label-by-package.yml index b8bbb83cdc7..b161aaa46d2 100644 --- a/.github/workflows/auto-label-by-package.yml +++ b/.github/workflows/auto-label-by-package.yml @@ -43,7 +43,6 @@ jobs: "langchain-nomic": "nomic", "langchain-ollama": "ollama", "langchain-perplexity": "perplexity", - "langchain-prompty": "prompty", "langchain-qdrant": "qdrant", "langchain-xai": "xai", }; diff --git a/.github/workflows/pr_lint.yml b/.github/workflows/pr_lint.yml index f218689483a..1305030efd7 100644 --- a/.github/workflows/pr_lint.yml +++ b/.github/workflows/pr_lint.yml @@ -30,7 +30,7 @@ # core, langchain, langchain-classic, model-profiles, # standard-tests, text-splitters, docs, anthropic, chroma, deepseek, exa, # fireworks, groq, huggingface, mistralai, nomic, ollama, openai, -# perplexity, prompty, qdrant, xai, infra, deps +# perplexity, qdrant, xai, infra, deps # # Multiple scopes can be used by separating them with a comma. For example: # @@ -103,7 +103,6 @@ jobs: ollama openai perplexity - prompty qdrant xai infra diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 8fba635cfa5..07b64ed1bc6 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -105,12 +105,6 @@ repos: entry: make -C libs/partners/openai format lint files: ^libs/partners/openai/ pass_filenames: false - - id: prompty - name: format and lint partners/prompty - language: system - entry: make -C libs/partners/prompty format lint - files: ^libs/partners/prompty/ - pass_filenames: false - id: qdrant name: format and lint partners/qdrant language: system diff --git a/libs/partners/prompty/.gitignore b/libs/partners/prompty/.gitignore deleted file mode 100644 index bee8a64b79a..00000000000 --- a/libs/partners/prompty/.gitignore +++ /dev/null @@ -1 +0,0 @@ -__pycache__ diff --git a/libs/partners/prompty/LICENSE b/libs/partners/prompty/LICENSE deleted file mode 100644 index 426b6509034..00000000000 --- a/libs/partners/prompty/LICENSE +++ /dev/null @@ -1,21 +0,0 @@ -MIT License - -Copyright (c) 2023 LangChain, Inc. - -Permission is hereby granted, free of charge, to any person obtaining a copy -of this software and associated documentation files (the "Software"), to deal -in the Software without restriction, including without limitation the rights -to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -copies of the Software, and to permit persons to whom the Software is -furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all -copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE -SOFTWARE. diff --git a/libs/partners/prompty/Makefile b/libs/partners/prompty/Makefile deleted file mode 100644 index 5aec2958e80..00000000000 --- a/libs/partners/prompty/Makefile +++ /dev/null @@ -1,62 +0,0 @@ -.PHONY: all format lint type test tests integration_tests help extended_tests - -# Default target executed when no arguments are given to make. -all: help - -.EXPORT_ALL_VARIABLES: -UV_FROZEN = true - -# Define a variable for the test file path. -TEST_FILE ?= tests/unit_tests/ - -test: - uv run --group test pytest $(TEST_FILE) - -tests: - uv run --group test pytest $(TEST_FILE) - -test_watch: - uv run --group test ptw --snapshot-update --now . -- -vv $(TEST_FILE) - - -###################### -# LINTING AND FORMATTING -###################### - -# Define a variable for Python and notebook files. -PYTHON_FILES=. -MYPY_CACHE=.mypy_cache -lint format: PYTHON_FILES=. -lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/prompty --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$') -lint_package: PYTHON_FILES=langchain_prompty -lint_tests: PYTHON_FILES=tests -lint_tests: MYPY_CACHE=.mypy_cache_test - -lint lint_diff lint_package lint_tests: - [ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff check $(PYTHON_FILES) - [ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff format $(PYTHON_FILES) --diff - [ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && uv run --all-groups mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) - -type: - mkdir -p $(MYPY_CACHE) && uv run --all-groups mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) - -format format_diff: - [ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff format $(PYTHON_FILES) - [ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff check --fix $(PYTHON_FILES) - -check_imports: $(shell find langchain_prompty -name '*.py') - uv run --all-groups python ./scripts/check_imports.py $^ - -###################### -# HELP -###################### - -help: - @echo '----' - @echo 'check_imports - check imports' - @echo 'format - run code formatters' - @echo 'lint - run linters' - @echo 'type - run type checking' - @echo 'test - run unit tests' - @echo 'tests - run unit tests' - @echo 'test TEST_FILE= - run all tests in file' diff --git a/libs/partners/prompty/README.md b/libs/partners/prompty/README.md deleted file mode 100644 index 9be19a903e8..00000000000 --- a/libs/partners/prompty/README.md +++ /dev/null @@ -1,69 +0,0 @@ -# langchain-prompty - -[![PyPI - Version](https://img.shields.io/pypi/v/langchain-prompty?label=%20)](https://pypi.org/project/langchain-prompty/#history) -[![PyPI - License](https://img.shields.io/pypi/l/langchain-prompty)](https://opensource.org/licenses/MIT) -[![PyPI - Downloads](https://img.shields.io/pepy/dt/langchain-prompty)](https://pypistats.org/packages/langchain-prompty) -[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain) - -Looking for the JS/TS version? Check out [LangChain.js](https://github.com/langchain-ai/langchainjs). - -## Quick Install - -```bash -pip install langchain-prompty -``` - -## 🤔 What is this? - -This package contains the LangChain integration with Microsoft Prompty. - -## 📖 Documentation - -View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/microsoft) for more details. - -## Usage - -Use the `create_chat_prompt` function to load `prompty` file as prompt. - -```python -from langchain_prompty import create_chat_prompt - -prompt = create_chat_prompt('') -``` - -Then you can use the prompt for next steps. - -Here is an example .prompty file: - -```prompty ---- -name: Basic Prompt -description: A basic prompt that uses the GPT-3 chat API to answer questions -authors: - - author_1 - - author_2 -model: - api: chat - configuration: - azure_deployment: gpt-35-turbo -sample: - firstName: Jane - lastName: Doe - question: What is the meaning of life? - chat_history: [] ---- -system: -You are an AI assistant who helps people find information. -As the assistant, you answer questions briefly, succinctly, -and in a personable manner using markdown and even add some personal flair with appropriate emojis. - -{% for item in chat_history %} -{{item.role}}: -{{item.content}} -{% endfor %} - - -user: -{{input}} - -``` diff --git a/libs/partners/prompty/langchain_prompty/__init__.py b/libs/partners/prompty/langchain_prompty/__init__.py deleted file mode 100644 index 3c53f3fa49f..00000000000 --- a/libs/partners/prompty/langchain_prompty/__init__.py +++ /dev/null @@ -1,11 +0,0 @@ -"""Microsoft Prompty integration for LangChain.""" - -from langchain_prompty.core import InvokerFactory -from langchain_prompty.langchain import create_chat_prompt -from langchain_prompty.parsers import PromptyChatParser -from langchain_prompty.renderers import MustacheRenderer - -InvokerFactory().register_renderer("mustache", MustacheRenderer) -InvokerFactory().register_parser("prompty.chat", PromptyChatParser) - -__all__ = ["create_chat_prompt"] diff --git a/libs/partners/prompty/langchain_prompty/core.py b/libs/partners/prompty/langchain_prompty/core.py deleted file mode 100644 index b9392559384..00000000000 --- a/libs/partners/prompty/langchain_prompty/core.py +++ /dev/null @@ -1,336 +0,0 @@ -from __future__ import annotations - -import abc -import json -import os -import re -import threading -from pathlib import Path -from typing import Any, Generic, Literal, TypeVar - -import yaml -from pydantic import BaseModel, ConfigDict, Field, FilePath - -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: str | int | float | list | dict | bool | None = Field(default=None) - description: str = Field(default="") - - -class ModelSettings(BaseModel): - """Model settings for a prompty model.""" - - api: str = Field(default="") - configuration: dict = Field(default={}) - parameters: dict = Field(default={}) - response: dict = Field(default={}) - - def model_dump_safe(self) -> dict: - d = self.model_dump() - d["configuration"] = { - k: "*" * len(v) if "key" in k.lower() or "secret" in k.lower() else v - for k, v in d["configuration"].items() - } - return d - - -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="") - authors: list[str] = Field(default=[]) - tags: list[str] = Field(default=[]) - version: str = Field(default="") - base: str = Field(default="") - basePrompty: Prompty | None = Field(default=None) - - # Model - model: ModelSettings = Field(default_factory=ModelSettings) - - # Sample - sample: dict = Field(default={}) - - # Input / output - inputs: dict[str, PropertySettings] = Field(default={}) - outputs: dict[str, PropertySettings] = Field(default={}) - - # Template - template: TemplateSettings - - file: FilePath = Field(default="") # type: ignore[assignment] - content: str = Field(default="") - - def to_safe_dict(self) -> dict[str, Any]: - d = {} - for k, v in self: - if v != "" and v != {} and v != [] and v is not None: - if k == "model": - d[k] = v.model_dump_safe() - elif k == "template": - d[k] = v.model_dump() - elif k == "inputs" or k == "outputs": - d[k] = {k: v.model_dump() for k, v in v.items()} - elif k == "file": - d[k] = ( - str(self.file.as_posix()) - if isinstance(self.file, Path) - else self.file - ) - elif k == "basePrompty": - # No need to serialize basePrompty - continue - - else: - d[k] = v - return d - - # Generate json representation of the prompty - def to_safe_json(self) -> str: - d = self.to_safe_dict() - return json.dumps(d) - - @staticmethod - def normalize(attribute: Any, parent: Path, env_error: bool = True) -> Any: - if isinstance(attribute, str): - attribute = attribute.strip() - if attribute.startswith("${") and attribute.endswith("}"): - variable = attribute[2:-1].split(":") - if variable[0] in os.environ.keys(): - return os.environ[variable[0]] - else: - if len(variable) > 1: - return variable[1] - else: - if env_error: - raise ValueError( - f"Variable {variable[0]} not found in environment" - ) - else: - return "" - elif ( - attribute.startswith("file:") - and Path(parent / attribute.split(":")[1]).exists() - ): - with open(parent / attribute.split(":")[1]) as f: - items = json.load(f) - if isinstance(items, list): - return [Prompty.normalize(value, parent) for value in items] - elif isinstance(items, dict): - return { - key: Prompty.normalize(value, parent) - for key, value in items.items() - } - else: - return items - else: - return attribute - elif isinstance(attribute, list): - return [Prompty.normalize(value, parent) for value in attribute] - elif isinstance(attribute, dict): - return { - key: Prompty.normalize(value, parent) - for key, value in attribute.items() - } - else: - return attribute - - -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: - new_dict = {**top} - for key, value in bottom.items(): - if key not in new_dict: - new_dict[key] = value - return new_dict - - -class Invoker(abc.ABC): - """Base class for all invokers.""" - - def __init__(self, prompty: Prompty) -> None: - self.prompty = prompty - - @abc.abstractmethod - def invoke(self, data: BaseModel) -> BaseModel: - pass - - def __call__(self, data: BaseModel) -> BaseModel: - return self.invoke(data) - - -class NoOpParser(Invoker): - """NoOp parser for invokers.""" - - def invoke(self, data: BaseModel) -> BaseModel: - return data - - -class InvokerFactory: - """Factory for creating invokers. - - This class implements a thread-safe singleton pattern using double-checked - locking to ensure only one instance is created even under concurrent access. - """ - - _instance = None - _lock = threading.Lock() - _renderers: dict[str, type[Invoker]] = {} - _parsers: dict[str, type[Invoker]] = {} - _executors: dict[str, type[Invoker]] = {} - _processors: dict[str, type[Invoker]] = {} - - def __new__(cls) -> InvokerFactory: - # First check (fast path, no lock needed) - if cls._instance is None: - with cls._lock: - # Double-check after acquiring lock - if cls._instance is None: - cls._instance = super().__new__(cls) - # Add NOOP invokers - cls._renderers["NOOP"] = NoOpParser - cls._parsers["NOOP"] = NoOpParser - cls._executors["NOOP"] = NoOpParser - cls._processors["NOOP"] = NoOpParser - return cls._instance - - def register( - self, - type: Literal["renderer", "parser", "executor", "processor"], - name: str, - invoker: type[Invoker], - ) -> None: - if type == "renderer": - self._renderers[name] = invoker - elif type == "parser": - self._parsers[name] = invoker - elif type == "executor": - self._executors[name] = invoker - elif type == "processor": - self._processors[name] = invoker - else: - raise ValueError(f"Invalid type {type}") - - def register_renderer(self, name: str, renderer_class: Any) -> None: - self.register("renderer", name, renderer_class) - - def register_parser(self, name: str, parser_class: Any) -> None: - self.register("parser", name, parser_class) - - def register_executor(self, name: str, executor_class: Any) -> None: - self.register("executor", name, executor_class) - - def register_processor(self, name: str, processor_class: Any) -> None: - self.register("processor", name, processor_class) - - def __call__( - self, - type: Literal["renderer", "parser", "executor", "processor"], - name: str, - prompty: Prompty, - data: BaseModel, - ) -> Any: - if type == "renderer": - return self._renderers[name](prompty)(data) - elif type == "parser": - return self._parsers[name](prompty)(data) - elif type == "executor": - return self._executors[name](prompty)(data) - elif type == "processor": - return self._processors[name](prompty)(data) - else: - raise ValueError(f"Invalid type {type}") - - def to_dict(self) -> dict[str, Any]: - return { - "renderers": { - k: f"{v.__module__}.{v.__name__}" for k, v in self._renderers.items() - }, - "parsers": { - k: f"{v.__module__}.{v.__name__}" for k, v in self._parsers.items() - }, - "executors": { - k: f"{v.__module__}.{v.__name__}" for k, v in self._executors.items() - }, - "processors": { - k: f"{v.__module__}.{v.__name__}" for k, v in self._processors.items() - }, - } - - def to_json(self) -> str: - return json.dumps(self.to_dict()) - - -class Frontmatter: - """Class for reading frontmatter from a string or file.""" - - _yaml_delim = r"(?:---|\+\+\+)" - _yaml = r"(.*?)" - _content = r"\s*(.+)$" - _re_pattern = r"^\s*" + _yaml_delim + _yaml + _yaml_delim + _content - _regex = re.compile(_re_pattern, re.S | re.M) - - @classmethod - def read_file(cls, path: str) -> dict[str, Any]: - """Reads file at path and returns dict with separated frontmatter. - See read() for more info on dict return value. - """ - with open(path, encoding="utf-8") as file: - file_contents = file.read() - return cls.read(file_contents) - - @classmethod - def read(cls, string: str) -> dict[str, Any]: - """Returns dict with separated frontmatter from string. - - Returned dict keys: - - attributes: extracted YAML attributes in dict form. - - body: string contents below the YAML separators - - frontmatter: string representation of YAML - """ - fmatter = "" - body = "" - result = cls._regex.search(string) - - if result: - fmatter = result.group(1) - body = result.group(2) - return { - "attributes": yaml.safe_load(fmatter), - "body": body, - "frontmatter": fmatter, - } diff --git a/libs/partners/prompty/langchain_prompty/langchain.py b/libs/partners/prompty/langchain_prompty/langchain.py deleted file mode 100644 index 32c1eaba4c2..00000000000 --- a/libs/partners/prompty/langchain_prompty/langchain.py +++ /dev/null @@ -1,35 +0,0 @@ -from typing import Any - -from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder -from langchain_core.runnables import Runnable, RunnableLambda - -from .parsers import RoleMap -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) - # Parsed messages have been templated - # Convert to Message objects to avoid templating attempts in ChatPromptTemplate - lc_messages = [] - for message in parsed: - message_class = RoleMap.get_message_class(message["role"]) - lc_messages.append(message_class(content=message["content"])) - - lc_messages.append( - MessagesPlaceholder( - variable_name=input_name_agent_scratchpad, optional=True - ) # type: ignore[arg-type] - ) - lc_p = ChatPromptTemplate.from_messages(lc_messages) - lc_p = lc_p.partial(**p.inputs) - return lc_p - - return RunnableLambda(runnable_chat_lambda) diff --git a/libs/partners/prompty/langchain_prompty/parsers.py b/libs/partners/prompty/langchain_prompty/parsers.py deleted file mode 100644 index a29452fd7d9..00000000000 --- a/libs/partners/prompty/langchain_prompty/parsers.py +++ /dev/null @@ -1,133 +0,0 @@ -import base64 -import re - -from langchain_core.messages import ( - AIMessage, - BaseMessage, - FunctionMessage, - HumanMessage, - SystemMessage, -) -from pydantic import BaseModel - -from .core import Invoker, Prompty, SimpleModel - - -class RoleMap: - _ROLE_MAP: dict[str, type[BaseMessage]] = { - "system": SystemMessage, - "user": HumanMessage, - "human": HumanMessage, - "assistant": AIMessage, - "ai": AIMessage, - "function": FunctionMessage, - } - ROLES = _ROLE_MAP.keys() - - @classmethod - def get_message_class(cls, role: str) -> type[BaseMessage]: - return cls._ROLE_MAP[role] - - -class PromptyChatParser(Invoker): - """Parse a chat prompt into a list of messages.""" - - def __init__(self, prompty: Prompty) -> None: - self.prompty = prompty - self.roles = RoleMap.ROLES - self.path = self.prompty.file.parent - - def inline_image(self, image_item: str) -> str: - # pass through if it's a url or base64 encoded - if image_item.startswith("http") or image_item.startswith("data"): - return image_item - # otherwise, it's a local file - need to base64 encode it - else: - image_path = self.path / image_item - with open(image_path, "rb") as f: - base64_image = base64.b64encode(f.read()).decode("utf-8") - - if image_path.suffix == ".png": - return f"data:image/png;base64,{base64_image}" - elif image_path.suffix == ".jpg": - return f"data:image/jpeg;base64,{base64_image}" - elif image_path.suffix == ".jpeg": - return f"data:image/jpeg;base64,{base64_image}" - else: - raise ValueError( - f"Invalid image format {image_path.suffix} - currently only .png " - "and .jpg / .jpeg are supported." - ) - - def parse_content(self, content: str) -> str | list: - """for parsing inline images""" - # regular expression to parse markdown images - image = r"(?P!\[[^\]]*\])\((?P.*?)(?=\"|\))\)" - matches = re.findall(image, content, flags=re.MULTILINE) - if len(matches) > 0: - content_items = [] - content_chunks = re.split(image, content, flags=re.MULTILINE) - current_chunk = 0 - for i in range(len(content_chunks)): - # image entry - if ( - current_chunk < len(matches) - and content_chunks[i] == matches[current_chunk][0] - ): - content_items.append( - { - "type": "image_url", - "image_url": { - "url": self.inline_image( - matches[current_chunk][1].split(" ")[0].strip() - ) - }, - } - ) - # second part of image entry - elif ( - current_chunk < len(matches) - and content_chunks[i] == matches[current_chunk][1] - ): - current_chunk += 1 - # text entry - else: - if len(content_chunks[i].strip()) > 0: - content_items.append( - {"type": "text", "text": content_chunks[i].strip()} - ) - return content_items - else: - return content - - def invoke(self, data: BaseModel) -> BaseModel: - if not isinstance(data, SimpleModel): - raise ValueError("data must be an instance of SimpleModel") - messages = [] - separator = r"(?i)^\s*#?\s*(" + "|".join(self.roles) + r")\s*:\s*\n" - - # get valid chunks - remove empty items - chunks = [ - item - for item in re.split(separator, data.item, flags=re.MULTILINE) - if len(item.strip()) > 0 - ] - - # if no starter role, then inject system role - if chunks[0].strip().lower() not in self.roles: - chunks.insert(0, "system") - - # if last chunk is role entry, then remove (no content?) - if chunks[-1].strip().lower() in self.roles: - chunks.pop() - - if len(chunks) % 2 != 0: - raise ValueError("Invalid prompt format") - - # create messages - for i in range(0, len(chunks), 2): - role = chunks[i].strip().lower() - content = chunks[i + 1].strip() - messages.append({"role": role, "content": self.parse_content(content)}) - - return SimpleModel[list](item=messages) diff --git a/libs/partners/prompty/langchain_prompty/renderers.py b/libs/partners/prompty/langchain_prompty/renderers.py deleted file mode 100644 index ed86dd1acb2..00000000000 --- a/libs/partners/prompty/langchain_prompty/renderers.py +++ /dev/null @@ -1,39 +0,0 @@ -from typing import Any - -from langchain_core.messages import BaseMessage -from langchain_core.utils import mustache -from pydantic import BaseModel - -from .core import Invoker, Prompty, SimpleModel - - -def _convert_messages_to_dicts(data: Any) -> Any: - """Recursively convert BaseMessage objects to dicts for mustache compatibility. - - The mustache implementation only supports dict, list, and tuple traversal - for security reasons. This converts any BaseMessage objects to dicts. - """ - if isinstance(data, BaseMessage): - return data.model_dump() - elif isinstance(data, dict): - return {k: _convert_messages_to_dicts(v) for k, v in data.items()} - elif isinstance(data, list): - return [_convert_messages_to_dicts(item) for item in data] - elif isinstance(data, tuple): - return tuple(_convert_messages_to_dicts(item) for item in data) - return data - - -class MustacheRenderer(Invoker): - """Render a mustache template.""" - - def __init__(self, prompty: Prompty) -> None: - self.prompty = prompty - - def invoke(self, data: BaseModel) -> BaseModel: - if not isinstance(data, SimpleModel): - raise ValueError("Expected data to be an instance of SimpleModel") - # Convert any BaseMessage objects to dicts for mustache compatibility - converted_data = _convert_messages_to_dicts(data.item) - generated = mustache.render(self.prompty.content, converted_data) - return SimpleModel[str](item=generated) diff --git a/libs/partners/prompty/langchain_prompty/utils.py b/libs/partners/prompty/langchain_prompty/utils.py deleted file mode 100644 index e6d384eec72..00000000000 --- a/libs/partners/prompty/langchain_prompty/utils.py +++ /dev/null @@ -1,252 +0,0 @@ -import traceback -from pathlib import Path -from typing import Any - -from .core import ( - Frontmatter, - InvokerFactory, - ModelSettings, - Prompty, - PropertySettings, - SimpleModel, - TemplateSettings, - param_hoisting, -) - - -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) - caller = Path(traceback.extract_stack()[-3].filename) - file_path = Path(caller.parent / file_path).resolve().absolute() - - # load dictionary from prompty file - matter = Frontmatter.read_file(file_path.__fspath__()) - attributes = matter["attributes"] - content = matter["body"] - - # normalize attribute dictionary resolve keys and files - attributes = Prompty.normalize(attributes, file_path.parent) - - # load global configuration - if "model" not in attributes: - attributes["model"] = {} - - # pull model settings out of attributes - try: - model = ModelSettings(**attributes.pop("model")) - except Exception as e: - raise ValueError(f"Error in model settings: {e}") - - # pull template settings - try: - if "template" in attributes: - t = attributes.pop("template") - if isinstance(t, dict): - template = TemplateSettings(**t) - # has to be a string denoting the type - else: - template = TemplateSettings(type=t, parser="prompty") - else: - template = TemplateSettings(type="mustache", parser="prompty") - except Exception as e: - raise ValueError(f"Error in template loader: {e}") - - # formalize inputs and outputs - if "inputs" in attributes: - try: - inputs = { - k: PropertySettings(**v) for (k, v) in attributes.pop("inputs").items() - } - except Exception as e: - raise ValueError(f"Error in inputs: {e}") - else: - inputs = {} - if "outputs" in attributes: - try: - outputs = { - k: PropertySettings(**v) for (k, v) in attributes.pop("outputs").items() - } - except Exception as e: - raise ValueError(f"Error in outputs: {e}") - else: - outputs = {} - - # recursive loading of base prompty - if "base" in attributes: - # load the base prompty from the same directory as the current prompty - base = load(file_path.parent / attributes["base"]) - # hoist the base prompty's attributes to the current prompty - model.api = base.model.api if model.api == "" else model.api - model.configuration = param_hoisting( - model.configuration, base.model.configuration - ) - model.parameters = param_hoisting(model.parameters, base.model.parameters) - model.response = param_hoisting(model.response, base.model.response) - attributes["sample"] = param_hoisting(attributes, base.sample, "sample") - - p = Prompty( - **attributes, - model=model, - inputs=inputs, - outputs=outputs, - template=template, - content=content, - file=file_path, - basePrompty=base, - ) - else: - p = Prompty( - **attributes, - model=model, - inputs=inputs, - outputs=outputs, - template=template, - content=content, - file=file_path, - ) - return p - - -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) - - if prompt.template.type == "NOOP": - render = prompt.content - else: - # render - result = invoker( - "renderer", - prompt.template.type, - prompt, - SimpleModel(item=inputs), - ) - render = result.item - - if prompt.template.parser == "NOOP": - result = render - else: - # parse - result = invoker( - "parser", - f"{prompt.template.parser}.{prompt.model.api}", - prompt, - SimpleModel(item=result.item), - ) - - if isinstance(result, SimpleModel): - return result.item - else: - return result - - -def run( - prompt: Prompty, - content: dict | list | str, - configuration: dict[str, Any] = {}, - 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 != {}: - prompt.model.configuration = param_hoisting( - configuration, prompt.model.configuration - ) - - if parameters != {}: - prompt.model.parameters = param_hoisting(parameters, prompt.model.parameters) - - # execute - result = invoker( - "executor", - prompt.model.configuration["type"], - prompt, - SimpleModel(item=content), - ) - - # skip? - if not raw: - # process - result = invoker( - "processor", - prompt.model.configuration["type"], - prompt, - result, - ) - - if isinstance(result, SimpleModel): - return result.item - else: - return result - - -def execute( - prompt: str | Prompty, - configuration: dict[str, Any] = {}, - parameters: dict[str, Any] = {}, - inputs: dict[str, Any] = {}, - 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. - parameters: The parameters to use. - inputs: The inputs to the `Prompty`. - raw: Whether to return the raw output. - connection: The connection to use. - - Returns: - The result of executing the `Prompty`. - """ - - if isinstance(prompt, str): - prompt = load(prompt, connection) - - # prepare content - content = prepare(prompt, inputs) - - # run LLM model - result = run(prompt, content, configuration, parameters, raw) - - return result diff --git a/libs/partners/prompty/pyproject.toml b/libs/partners/prompty/pyproject.toml deleted file mode 100644 index 041494a863f..00000000000 --- a/libs/partners/prompty/pyproject.toml +++ /dev/null @@ -1,106 +0,0 @@ -[build-system] -requires = ["hatchling"] -build-backend = "hatchling.build" - -[project] -name = "langchain-prompty" -version = "1.0.0" -description = "An integration package connecting Prompty and LangChain" -license = { text = "MIT" } -readme = "README.md" -classifiers = [ - "Development Status :: 5 - Production/Stable", - "Intended Audience :: Developers", - "License :: OSI Approved :: MIT License", - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.10", - "Programming Language :: Python :: 3.11", - "Programming Language :: Python :: 3.12", - "Programming Language :: Python :: 3.13", - "Programming Language :: Python :: 3.14", - "Topic :: Scientific/Engineering :: Artificial Intelligence", -] -requires-python = ">=3.10.0,<4.0.0" -dependencies = [ - "langchain-core>=1.0.0,<2.0.0", - "pyyaml>=6.0.1,<7.0.0" -] - -[project.urls] -Homepage = "https://docs.langchain.com/oss/python/integrations/providers/microsoft" -Documentation = "https://reference.langchain.com/python/integrations/langchain_prompty/" -Repository = "https://github.com/langchain-ai/langchain" -Issues = "https://github.com/langchain-ai/langchain/issues" -Changelog = "https://github.com/langchain-ai/langchain/releases?q=%22langchain-prompty%22" -Twitter = "https://x.com/LangChain" -Slack = "https://www.langchain.com/join-community" -Reddit = "https://www.reddit.com/r/LangChain/" - -[dependency-groups] -test = [ - "pytest>=7.3.0,<8.0.0", - "pytest-mock>=3.10.0,<4.0.0", - "pytest-watcher>=0.3.4,<1.0.0", - "pytest-asyncio>=0.21.1,<1.0.0", - "pytest-benchmark", - "freezegun>=1.2.2,<2.0.0", - "syrupy>=4.0.2,<5.0.0", - "langchain-core", - "langchain-classic", - "langchain-text-splitters", - "langchain-tests", -] -test_integration = [] -lint = [ - "ruff>=0.13.1,<0.14.0", - "types-urllib3>=1.26.25.14,<2.0.0.0", -] -dev = [ - "types-pyyaml>=6.0.12.20240311,<7.0.0.0", - "langchain-core" -] -typing = [ - "mypy>=1.18.1,<1.19.0", - "types-pyyaml>=6.0.12.20240311,<7.0.0.0", - "langchain-core", -] - - -[tool.uv.sources] -langchain-core = { path = "../../core", editable = true } -langchain-text-splitters = { path = "../../text-splitters", editable = true } -langchain-classic = { path = "../../langchain", editable = true } -langchain-tests = { path = "../../standard-tests", editable = true } - -[tool.ruff.format] -docstring-code-format = true - -[tool.ruff.lint] -select = ["E", "F", "I", "T201", "UP", "S"] - -[tool.ruff.lint.pydocstyle] -convention = "google" -ignore-var-parameters = true # ignore missing documentation for *args and **kwargs parameters - -[tool.ruff.lint.flake8-tidy-imports] -ban-relative-imports = "all" - -[tool.mypy] -disallow_untyped_defs = "True" - -[tool.coverage.run] -omit = ["tests/*"] - -[tool.pytest.ini_options] -addopts = "--snapshot-warn-unused --strict-markers --strict-config --durations=5" -markers = [ - "requires: mark tests as requiring a specific library", - "compile: mark placeholder test used to compile integration tests without running them", -] -asyncio_mode = "auto" - -[tool.ruff.lint.extend-per-file-ignores] -"tests/**/*.py" = [ - "S101", # Tests need assertions - "S311", # Standard pseudo-random generators are not suitable for cryptographic purposes -] diff --git a/libs/partners/prompty/scripts/check_imports.py b/libs/partners/prompty/scripts/check_imports.py deleted file mode 100644 index ec3fc6e95f5..00000000000 --- a/libs/partners/prompty/scripts/check_imports.py +++ /dev/null @@ -1,15 +0,0 @@ -import sys -import traceback -from importlib.machinery import SourceFileLoader - -if __name__ == "__main__": - files = sys.argv[1:] - has_failure = False - for file in files: - try: - SourceFileLoader("x", file).load_module() - except Exception: - has_failure = True - traceback.print_exc() - - sys.exit(1 if has_failure else 0) diff --git a/libs/partners/prompty/scripts/lint_imports.sh b/libs/partners/prompty/scripts/lint_imports.sh deleted file mode 100644 index 695613c7ba8..00000000000 --- a/libs/partners/prompty/scripts/lint_imports.sh +++ /dev/null @@ -1,17 +0,0 @@ -#!/bin/bash - -set -eu - -# Initialize a variable to keep track of errors -errors=0 - -# make sure not importing from langchain or langchain_experimental -git --no-pager grep '^from langchain\.' . && errors=$((errors+1)) -git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1)) - -# Decide on an exit status based on the errors -if [ "$errors" -gt 0 ]; then - exit 1 -else - exit 0 -fi diff --git a/libs/partners/prompty/tests/__init__.py b/libs/partners/prompty/tests/__init__.py deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/libs/partners/prompty/tests/integration_tests/__init__.py b/libs/partners/prompty/tests/integration_tests/__init__.py deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/libs/partners/prompty/tests/integration_tests/test_compile.py b/libs/partners/prompty/tests/integration_tests/test_compile.py deleted file mode 100644 index 33ecccdfa0f..00000000000 --- a/libs/partners/prompty/tests/integration_tests/test_compile.py +++ /dev/null @@ -1,7 +0,0 @@ -import pytest - - -@pytest.mark.compile -def test_placeholder() -> None: - """Used for compiling integration tests without running any real tests.""" - pass diff --git a/libs/partners/prompty/tests/unit_tests/__init__.py b/libs/partners/prompty/tests/unit_tests/__init__.py deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/libs/partners/prompty/tests/unit_tests/fake_callback_handler.py b/libs/partners/prompty/tests/unit_tests/fake_callback_handler.py deleted file mode 100644 index bb520350b1a..00000000000 --- a/libs/partners/prompty/tests/unit_tests/fake_callback_handler.py +++ /dev/null @@ -1,397 +0,0 @@ -"""A fake callback handler for testing purposes.""" - -from itertools import chain -from typing import Any -from uuid import UUID - -from langchain_core.callbacks import AsyncCallbackHandler, BaseCallbackHandler -from langchain_core.messages import BaseMessage -from pydantic import BaseModel - - -class BaseFakeCallbackHandler(BaseModel): - """Base fake callback handler for testing.""" - - starts: int = 0 - ends: int = 0 - errors: int = 0 - text: int = 0 - ignore_llm_: bool = False - ignore_chain_: bool = False - ignore_agent_: bool = False - ignore_retriever_: bool = False - ignore_chat_model_: bool = False - - # to allow for similar callback handlers that are not technically equal - fake_id: str | None = None - - # add finer-grained counters for easier debugging of failing tests - chain_starts: int = 0 - chain_ends: int = 0 - llm_starts: int = 0 - llm_ends: int = 0 - llm_streams: int = 0 - tool_starts: int = 0 - tool_ends: int = 0 - agent_actions: int = 0 - agent_ends: int = 0 - chat_model_starts: int = 0 - retriever_starts: int = 0 - retriever_ends: int = 0 - retriever_errors: int = 0 - retries: int = 0 - - input_prompts: list[str] = [] - - -class BaseFakeCallbackHandlerMixin(BaseFakeCallbackHandler): - """Base fake callback handler mixin for testing.""" - - def on_llm_start_common(self) -> None: - self.llm_starts += 1 - self.starts += 1 - - def on_llm_end_common(self) -> None: - self.llm_ends += 1 - self.ends += 1 - - def on_llm_error_common(self) -> None: - self.errors += 1 - - def on_llm_new_token_common(self) -> None: - self.llm_streams += 1 - - def on_retry_common(self) -> None: - self.retries += 1 - - def on_chain_start_common(self) -> None: - self.chain_starts += 1 - self.starts += 1 - - def on_chain_end_common(self) -> None: - self.chain_ends += 1 - self.ends += 1 - - def on_chain_error_common(self) -> None: - self.errors += 1 - - def on_tool_start_common(self) -> None: - self.tool_starts += 1 - self.starts += 1 - - def on_tool_end_common(self) -> None: - self.tool_ends += 1 - self.ends += 1 - - def on_tool_error_common(self) -> None: - self.errors += 1 - - def on_agent_action_common(self) -> None: - self.agent_actions += 1 - self.starts += 1 - - def on_agent_finish_common(self) -> None: - self.agent_ends += 1 - self.ends += 1 - - def on_chat_model_start_common(self) -> None: - self.chat_model_starts += 1 - self.starts += 1 - - def on_text_common(self) -> None: - self.text += 1 - - def on_retriever_start_common(self) -> None: - self.starts += 1 - self.retriever_starts += 1 - - def on_retriever_end_common(self) -> None: - self.ends += 1 - self.retriever_ends += 1 - - def on_retriever_error_common(self) -> None: - self.errors += 1 - self.retriever_errors += 1 - - -class FakeCallbackHandler(BaseCallbackHandler, BaseFakeCallbackHandlerMixin): - """Fake callback handler for testing.""" - - def __init__(self) -> None: - super().__init__() - self.input_prompts = [] - - @property - def ignore_llm(self) -> bool: - """Whether to ignore LLM callbacks.""" - return self.ignore_llm_ - - @property - def ignore_chain(self) -> bool: - """Whether to ignore chain callbacks.""" - return self.ignore_chain_ - - @property - def ignore_agent(self) -> bool: - """Whether to ignore agent callbacks.""" - return self.ignore_agent_ - - @property - def ignore_retriever(self) -> bool: - """Whether to ignore retriever callbacks.""" - return self.ignore_retriever_ - - def on_llm_start( - self, serialized: dict[str, Any], prompts: list[str], **kwargs: Any - ) -> Any: - self.input_prompts = prompts - self.on_llm_start_common() - - def on_llm_new_token( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_llm_new_token_common() - - def on_llm_end( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_llm_end_common() - - def on_llm_error( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_llm_error_common() - - def on_retry( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_retry_common() - - def on_chain_start( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_chain_start_common() - - def on_chain_end( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_chain_end_common() - - def on_chain_error( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_chain_error_common() - - def on_tool_start( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_tool_start_common() - - def on_tool_end( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_tool_end_common() - - def on_tool_error( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_tool_error_common() - - def on_agent_action( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_agent_action_common() - - def on_agent_finish( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_agent_finish_common() - - def on_text( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_text_common() - - def on_retriever_start( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_retriever_start_common() - - def on_retriever_end( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_retriever_end_common() - - def on_retriever_error( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_retriever_error_common() - - # Overriding since BaseModel has __deepcopy__ method as well - def __deepcopy__(self, memo: dict) -> "FakeCallbackHandler": # type: ignore - return self - - -class FakeCallbackHandlerWithChatStart(FakeCallbackHandler): - def on_chat_model_start( - self, - serialized: dict[str, Any], - messages: list[list[BaseMessage]], - *, - run_id: UUID, - parent_run_id: UUID | None = None, - **kwargs: Any, - ) -> Any: - assert all(isinstance(m, BaseMessage) for m in chain(*messages)) - self.on_chat_model_start_common() - - -class FakeAsyncCallbackHandler(AsyncCallbackHandler, BaseFakeCallbackHandlerMixin): - """Fake async callback handler for testing.""" - - @property - def ignore_llm(self) -> bool: - """Whether to ignore LLM callbacks.""" - return self.ignore_llm_ - - @property - def ignore_chain(self) -> bool: - """Whether to ignore chain callbacks.""" - return self.ignore_chain_ - - @property - def ignore_agent(self) -> bool: - """Whether to ignore agent callbacks.""" - return self.ignore_agent_ - - async def on_retry( - self, - *args: Any, - **kwargs: Any, - ) -> Any: - self.on_retry_common() - - async def on_llm_start( - self, serialized: dict[str, Any], prompts: list[str], **kwargs: Any - ) -> None: - self.on_llm_start_common() - - async def on_llm_new_token( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_llm_new_token_common() - - async def on_llm_end( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_llm_end_common() - - async def on_llm_error( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_llm_error_common() - - async def on_chain_start( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_chain_start_common() - - async def on_chain_end( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_chain_end_common() - - async def on_chain_error( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_chain_error_common() - - async def on_tool_start( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_tool_start_common() - - async def on_tool_end( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_tool_end_common() - - async def on_tool_error( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_tool_error_common() - - async def on_agent_action( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_agent_action_common() - - async def on_agent_finish( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_agent_finish_common() - - async def on_text( - self, - *args: Any, - **kwargs: Any, - ) -> None: - self.on_text_common() - - # Overriding since BaseModel has __deepcopy__ method as well - def __deepcopy__(self, memo: dict) -> "FakeAsyncCallbackHandler": # type: ignore - return self diff --git a/libs/partners/prompty/tests/unit_tests/fake_chat_model.py b/libs/partners/prompty/tests/unit_tests/fake_chat_model.py deleted file mode 100644 index 62ca6c698c9..00000000000 --- a/libs/partners/prompty/tests/unit_tests/fake_chat_model.py +++ /dev/null @@ -1,45 +0,0 @@ -"""Fake Chat Model wrapper for testing purposes.""" - -import json -from typing import Any - -from langchain_core.callbacks import ( - AsyncCallbackManagerForLLMRun, - CallbackManagerForLLMRun, -) -from langchain_core.language_models.chat_models import SimpleChatModel -from langchain_core.messages import AIMessage, BaseMessage -from langchain_core.outputs import ChatGeneration, ChatResult - - -class FakeEchoPromptChatModel(SimpleChatModel): - """Fake Chat Model wrapper for testing purposes.""" - - def _call( - self, - messages: list[BaseMessage], - stop: list[str] | None = None, - run_manager: CallbackManagerForLLMRun | None = None, - **kwargs: Any, - ) -> str: - return json.dumps([message.model_dump() for message in messages]) - - async def _agenerate( - self, - messages: list[BaseMessage], - stop: list[str] | None = None, - run_manager: AsyncCallbackManagerForLLMRun | None = None, - **kwargs: Any, - ) -> ChatResult: - output_str = "fake response 2" - message = AIMessage(content=output_str) - generation = ChatGeneration(message=message) - return ChatResult(generations=[generation]) - - @property - def _llm_type(self) -> str: - return "fake-echo-prompt-chat-model" - - @property - def _identifying_params(self) -> dict[str, Any]: - return {"key": "fake"} diff --git a/libs/partners/prompty/tests/unit_tests/fake_output_parser.py b/libs/partners/prompty/tests/unit_tests/fake_output_parser.py deleted file mode 100644 index 1e0f58b90a3..00000000000 --- a/libs/partners/prompty/tests/unit_tests/fake_output_parser.py +++ /dev/null @@ -1,40 +0,0 @@ -from langchain_classic.agents import AgentOutputParser -from langchain_core.agents import AgentAction, AgentFinish - - -def extract_action_details(text: str) -> tuple[str | None, str | None]: - # Split the text into lines and strip whitespace - lines = [line.strip() for line in text.strip().split("\n")] - - # Initialize variables to hold the extracted values - action = None - action_input = None - - # Iterate through the lines to find and extract the desired information - for line in lines: - if line.startswith("Action:"): - action = line.split(":", 1)[1].strip() - elif line.startswith("Action Input:"): - action_input = line.split(":", 1)[1].strip() - - return action, action_input - - -class FakeOutputParser(AgentOutputParser): - def parse(self, text: str) -> AgentAction | AgentFinish: - action, input = extract_action_details(text) - - if action: - log = f"\nInvoking: `{action}` with `{input}" - - return AgentAction(tool=action, tool_input=(input or ""), log=log) - elif "Final Answer" in text: - return AgentFinish({"output": text}, text) - - return AgentAction( - "Intermediate Answer", "after_colon", "Final Answer: This should end" - ) - - @property - def _type(self) -> str: - return "self_ask" diff --git a/libs/partners/prompty/tests/unit_tests/prompts/__init__.py b/libs/partners/prompty/tests/unit_tests/prompts/__init__.py deleted file mode 100644 index e69de29bb2d..00000000000 diff --git a/libs/partners/prompty/tests/unit_tests/prompts/basic_chat.prompty b/libs/partners/prompty/tests/unit_tests/prompts/basic_chat.prompty deleted file mode 100644 index 6b921ddccda..00000000000 --- a/libs/partners/prompty/tests/unit_tests/prompts/basic_chat.prompty +++ /dev/null @@ -1,28 +0,0 @@ ---- -name: Basic Prompt -description: A basic prompt that uses the GPT-3 chat API to answer questions -authors: - - author_1 - - author_2 -model: - api: chat - configuration: - azure_deployment: gpt-35-turbo -sample: - firstName: Jane - lastName: Doe - question: What is the meaning of life? - chat_history: [] ---- -system: -You are an AI assistant who helps people find information. -As the assistant, you answer questions briefly, succinctly, -and in a personable manner using markdown and even add some personal flair with appropriate emojis. - -{{#chat_history}} -{{role}}: -{{content}} -{{/chat_history}} - -user: -{{input}} diff --git a/libs/partners/prompty/tests/unit_tests/prompts/chat.prompty b/libs/partners/prompty/tests/unit_tests/prompts/chat.prompty deleted file mode 100644 index 1f1f8b19238..00000000000 --- a/libs/partners/prompty/tests/unit_tests/prompts/chat.prompty +++ /dev/null @@ -1,32 +0,0 @@ ---- -name: Basic Prompt -description: A basic prompt that uses the GPT-3 chat API to answer questions -authors: - - author_1 - - author_2 -model: - api: chat - configuration: - azure_deployment: gpt-35-turbo -sample: - firstName: Jane - lastName: Doe - input: What is the meaning of life? - chat_history: [] ---- -system: -You are an AI assistant who helps people find information. -As the assistant, you answer questions briefly, succinctly, -and in a personable manner using markdown and even add some personal flair with appropriate emojis. - -# Customer -You are helping {{firstName}} {{lastName}} to find answers to their questions. -Use their name to address them in your responses. - -{{#chat_history}} -{{type}}: -{{content}} -{{/chat_history}} - -user: -{{input}} \ No newline at end of file diff --git a/libs/partners/prompty/tests/unit_tests/prompts/double_templating.prompty b/libs/partners/prompty/tests/unit_tests/prompts/double_templating.prompty deleted file mode 100644 index f5fbc610c97..00000000000 --- a/libs/partners/prompty/tests/unit_tests/prompts/double_templating.prompty +++ /dev/null @@ -1,10 +0,0 @@ ---- -name: IssuePrompt -description: A prompt used to detect if double templating occurs -model: - api: chat -template: mustache ---- - -user: -{{user_input}} \ No newline at end of file diff --git a/libs/partners/prompty/tests/unit_tests/test_imports.py b/libs/partners/prompty/tests/unit_tests/test_imports.py deleted file mode 100644 index 4122434aec1..00000000000 --- a/libs/partners/prompty/tests/unit_tests/test_imports.py +++ /dev/null @@ -1,7 +0,0 @@ -from langchain_prompty import __all__ - -EXPECTED_ALL = ["create_chat_prompt"] - - -def test_all_imports() -> None: - assert sorted(EXPECTED_ALL) == sorted(__all__) diff --git a/libs/partners/prompty/tests/unit_tests/test_invoker_thread_safety.py b/libs/partners/prompty/tests/unit_tests/test_invoker_thread_safety.py deleted file mode 100644 index 1a0057df829..00000000000 --- a/libs/partners/prompty/tests/unit_tests/test_invoker_thread_safety.py +++ /dev/null @@ -1,62 +0,0 @@ -"""Test thread-safety of InvokerFactory singleton pattern.""" - -import threading - -from langchain_prompty.core import InvokerFactory - - -def test_invoker_factory_singleton_thread_safety() -> None: - """Test that InvokerFactory maintains singleton pattern under concurrent access. - - This test verifies the fix for issue #34981 by ensuring that multiple threads - accessing InvokerFactory simultaneously all receive the same instance. - """ - # Reset singleton for testing - InvokerFactory._instance = None - - results: list[int] = [] - - def thread_worker() -> None: - """Worker function that gets InvokerFactory instance.""" - factory = InvokerFactory() - results.append(id(factory)) - - # Create 10 threads to access the singleton concurrently - threads = [threading.Thread(target=thread_worker) for _ in range(10)] - - # Start all threads - for thread in threads: - thread.start() - - # Wait for all threads to complete - for thread in threads: - thread.join() - - # Verify all threads received the same instance - unique_instances = set(results) - assert len(unique_instances) == 1, ( - f"Expected 1 unique instance, but got {len(unique_instances)}. " - f"Race condition detected!" - ) - - -def test_invoker_factory_singleton_consistency() -> None: - """Test that multiple sequential calls return the same instance.""" - factory1 = InvokerFactory() - factory2 = InvokerFactory() - factory3 = InvokerFactory() - - assert factory1 is factory2 - assert factory2 is factory3 - assert id(factory1) == id(factory2) == id(factory3) - - -def test_invoker_factory_noop_registrations() -> None: - """Test that NOOP invokers are properly registered.""" - factory = InvokerFactory() - - # Verify NOOP invokers are registered - assert "NOOP" in factory._renderers - assert "NOOP" in factory._parsers - assert "NOOP" in factory._executors - assert "NOOP" in factory._processors diff --git a/libs/partners/prompty/tests/unit_tests/test_prompty_serialization.py b/libs/partners/prompty/tests/unit_tests/test_prompty_serialization.py deleted file mode 100644 index 72a4308f38e..00000000000 --- a/libs/partners/prompty/tests/unit_tests/test_prompty_serialization.py +++ /dev/null @@ -1,163 +0,0 @@ -import json -import os - -from langchain_classic.agents.format_scratchpad import ( - format_to_openai_function_messages, -) -from langchain_classic.tools import tool -from langchain_core.language_models import FakeListLLM -from langchain_core.messages import AIMessage, HumanMessage -from langchain_core.utils.function_calling import convert_to_openai_function -from pydantic import BaseModel, Field - -import langchain_prompty - -from .fake_callback_handler import FakeCallbackHandler -from .fake_chat_model import FakeEchoPromptChatModel -from .fake_output_parser import FakeOutputParser - -prompty_folder_relative = "./prompts/" -# Get the directory of the current script -current_script_dir = os.path.dirname(__file__) - -# Combine the current script directory with the relative path -prompty_folder = os.path.abspath( - os.path.join(current_script_dir, prompty_folder_relative) -) - - -def test_prompty_basic_chain() -> None: - prompt = langchain_prompty.create_chat_prompt(f"{prompty_folder}/chat.prompty") - model = FakeEchoPromptChatModel() - chain = prompt | model - - parsed_prompts = chain.invoke( - { - "firstName": "fakeFirstName", - "lastName": "fakeLastName", - "input": "fakeQuestion", - } - ) - - if isinstance(parsed_prompts.content, str): - msgs = json.loads(str(parsed_prompts.content)) - else: - msgs = parsed_prompts.content - - assert len(msgs) == 2 - # Test for system and user entries - system_message = msgs[0] - user_message = msgs[1] - - # Check the types of the messages - assert system_message["type"] == "system", ( - "The first message should be of type 'system'." - ) - assert user_message["type"] == "human", ( - "The second message should be of type 'human'." - ) - - # Test for existence of fakeFirstName and fakeLastName in the system message - assert "fakeFirstName" in system_message["content"], ( - "The string 'fakeFirstName' should be in the system message content." - ) - assert "fakeLastName" in system_message["content"], ( - "The string 'fakeLastName' should be in the system message content." - ) - - # Test for existence of fakeQuestion in the user message - assert "fakeQuestion" in user_message["content"], ( - "The string 'fakeQuestion' should be in the user message content." - ) - - -def test_prompty_used_in_agent() -> None: - prompt = langchain_prompty.create_chat_prompt(f"{prompty_folder}/chat.prompty") - tool_name = "search" - responses = [ - f"FooBarBaz\nAction: {tool_name}\nAction Input: fakeSearch", - "Oh well\nFinal Answer: fakefinalresponse", - ] - callbackHandler = FakeCallbackHandler() - llm = FakeListLLM(responses=responses, callbacks=[callbackHandler]) - - @tool - def search(query: str) -> str: - """Look up things.""" - return "FakeSearchResponse" - - tools = [search] - llm_with_tools = llm.bind(functions=[convert_to_openai_function(t) for t in tools]) - - agent = ( - { # type: ignore[var-annotated] - "firstName": lambda x: x["firstName"], - "lastName": lambda x: x["lastName"], - "input": lambda x: x["input"], - "chat_history": lambda x: x["chat_history"], - "agent_scratchpad": lambda x: ( - format_to_openai_function_messages(x["intermediate_steps"]) - if "intermediate_steps" in x - else [] - ), - } - | prompt - | llm_with_tools - | FakeOutputParser() - ) - - from langchain_classic.agents import AgentExecutor - - class AgentInput(BaseModel): - input: str - chat_history: list[tuple[str, str]] = Field( - ..., - json_schema_extra={ - "widget": {"type": "chat", "input": "input", "output": "output"} - }, - ) - - agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True).with_types( - input_type=AgentInput # type: ignore[arg-type] - ) - - agent_executor.invoke( - { - "firstName": "fakeFirstName", - "lastName": "fakeLastName", - "input": "fakeQuestion", - "chat_history": [ - AIMessage(content="chat_history_1_ai"), - HumanMessage(content="chat_history_1_human"), - ], - } - ) - input_prompt = callbackHandler.input_prompts[0] - - # Test for existence of fakeFirstName and fakeLastName in the system message - assert "fakeFirstName" in input_prompt - assert "fakeLastName" in input_prompt - assert "chat_history_1_ai" in input_prompt - assert "chat_history_1_human" in input_prompt - assert "fakeQuestion" in input_prompt - assert "fakeSearch" in input_prompt - - -def test_all_prompty_can_run() -> None: - exclusions = ["embedding.prompty", "groundedness.prompty"] - - prompty_files = [ - f - for f in os.listdir(prompty_folder) - if os.path.isfile(os.path.join(prompty_folder, f)) - and f.endswith(".prompty") - and f not in exclusions - ] - - for file in prompty_files: - file_path = os.path.join(prompty_folder, file) - - prompt = langchain_prompty.create_chat_prompt(file_path) - model = FakeEchoPromptChatModel() - chain = prompt | model - chain.invoke({}) diff --git a/libs/partners/prompty/tests/unit_tests/test_standard.py b/libs/partners/prompty/tests/unit_tests/test_standard.py deleted file mode 100644 index 15fdfe7ce97..00000000000 --- a/libs/partners/prompty/tests/unit_tests/test_standard.py +++ /dev/null @@ -1,15 +0,0 @@ -import pytest -from pytest_benchmark.fixture import BenchmarkFixture # type: ignore[import] - -from langchain_prompty import create_chat_prompt - - -@pytest.mark.benchmark -def test_create_chat_prompt_init_time(benchmark: BenchmarkFixture) -> None: - """Test create_chat_prompt initialization time.""" - - def _create_chat_prompts() -> None: - for _ in range(10): - create_chat_prompt("Hello world") - - benchmark(_create_chat_prompts) diff --git a/libs/partners/prompty/tests/unit_tests/test_templating.py b/libs/partners/prompty/tests/unit_tests/test_templating.py deleted file mode 100644 index ba95d3ddb4d..00000000000 --- a/libs/partners/prompty/tests/unit_tests/test_templating.py +++ /dev/null @@ -1,23 +0,0 @@ -from pathlib import Path - -import pytest - -from langchain_prompty import create_chat_prompt - -PROMPT_DIR = Path(__file__).parent / "prompts" - - -def test_double_templating() -> None: - """ - Assess whether double templating occurs when invoking a chat prompt. - If it does, an error is thrown and the test fails. - """ - - prompt_path = PROMPT_DIR / "double_templating.prompty" - templated_prompt = create_chat_prompt(str(prompt_path)) - query = "What do you think of this JSON object: {'key': 7}?" - - try: - templated_prompt.invoke(input={"user_input": query}) - except KeyError as e: - pytest.fail("Double templating occurred: " + str(e)) diff --git a/libs/partners/prompty/uv.lock b/libs/partners/prompty/uv.lock deleted file mode 100644 index 52793b3400f..00000000000 --- a/libs/partners/prompty/uv.lock +++ /dev/null @@ -1,1866 +0,0 @@ -version = 1 -revision = 3 -requires-python = ">=3.10.0, <4.0.0" -resolution-markers = [ - "python_full_version >= '3.13' and platform_python_implementation == 'PyPy'", - "python_full_version >= '3.13' and platform_python_implementation != 'PyPy'", - "python_full_version >= '3.11' and python_full_version < '3.13' and platform_python_implementation == 'PyPy'", - "python_full_version >= '3.11' and python_full_version < '3.13' and platform_python_implementation != 'PyPy'", - "python_full_version < '3.11' and platform_python_implementation == 'PyPy'", - "python_full_version < '3.11' and platform_python_implementation != 'PyPy'", -] - 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