diff --git a/docs/docs/integrations/providers/robocorp.mdx b/docs/docs/integrations/providers/robocorp.mdx new file mode 100644 index 0000000000..df53a2eb3f --- /dev/null +++ b/docs/docs/integrations/providers/robocorp.mdx @@ -0,0 +1,28 @@ +# Robocorp + +>[Robocorp](https://robocorp.com/) helps build and operate Python workers that run seamlessly anywhere at any scale + + +## Installation and Setup + +You need to install `langchain-robocorp` python package, as well as the `robocorp-action-server` package to run the action server locally. + +```bash +pip install langchain-robocorp robocorp-action-server +``` + +You will need a running instance of Action Server to communicate with from your agent application. You can bootstrap a new project using Action Server `new` command. + +```bash +action-server new +cd ./your-project-name +action-server start +``` + +## Toolkit + +See a [usage example](/docs/integrations/toolkits/robocorp). + +```python +from langchain_robocorp import ActionServerToolkit +``` diff --git a/docs/docs/integrations/toolkits/robocorp.ipynb b/docs/docs/integrations/toolkits/robocorp.ipynb new file mode 100644 index 0000000000..ff60dc10ca --- /dev/null +++ b/docs/docs/integrations/toolkits/robocorp.ipynb @@ -0,0 +1,132 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e49f1e0d", + "metadata": {}, + "source": [ + "# Robocorp\n", + "\n", + "This notebook covers how to get started with [Robocorp Action Server](https://github.com/robocorp/robo/tree/master/action_server/docs) action toolkit and LangChain.\n", + "\n", + "## Installation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4c3bef91", + "metadata": {}, + "outputs": [], + "source": [ + "# Install package and Action Server\n", + "%pip install --upgrade --quiet langchain-robocorp robocorp-action-server" + ] + }, + { + "cell_type": "markdown", + "id": "8e2ca5c5", + "metadata": {}, + "source": [ + "## Action Server setup\n", + "\n", + "You will need a running instance of Action Server to communicate with from your agent application. You can bootstrap a new project using Action Server `new` command.\n", + "\n", + "```bash\n", + "!action-server new\n", + "cd ./your-project-name\n", + "action-server start\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "id": "2b4f3e15", + "metadata": {}, + "source": [ + "## Environment Setup\n", + "\n", + "Optionally you can set the following environment variables:\n", + "\n", + "- `LANGCHAIN_TRACING_V2=true`: To enable LangSmith log run tracing that can also be bind to respective Action Server action run logs. See [LangSmith documentation](https://docs.smith.langchain.com/tracing#log-runs) for more.\n", + "\n", + "## Usage" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "62e0dbc3", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from langchain.agents import AgentExecutor, OpenAIFunctionsAgent\n", + "from langchain.chat_models import ChatOpenAI\n", + "from langchain_core.messages import SystemMessage\n", + "from langchain_robocorp import ActionServerToolkit\n", + "\n", + "# Initialize LLM chat model\n", + "llm = ChatOpenAI(model=\"gpt-4\", temperature=0)\n", + "\n", + "# Initialize Action Server Toolkit\n", + "toolkit = ActionServerToolkit(url=\"http://localhost:8080\", report_trace=True)\n", + "tools = toolkit.get_tools()\n", + "\n", + "# Initialize Agent\n", + "system_message = SystemMessage(content=\"You are a helpful assistant\")\n", + "prompt = OpenAIFunctionsAgent.create_prompt(system_message)\n", + "agent = OpenAIFunctionsAgent(llm=llm, prompt=prompt, tools=tools)\n", + "\n", + "executor = AgentExecutor(agent=agent, tools=tools, verbose=True)\n", + "\n", + "\n", + "executor.invoke(\"What is the current date?\")" + ] + }, + { + "cell_type": "markdown", + "id": "aa9fbbf5", + "metadata": {}, + "source": [ + "### Single input tools\n", + "\n", + "By default `toolkit.get_tools()` will return the actions as Structured Tools. To return single input tools, pass a Chat model to be used for processing the inputs." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1dc7db86", + "metadata": {}, + "outputs": [], + "source": [ + "# Initialize single input Action Server Toolkit\n", + "toolkit = ActionServerToolkit(url=\"http://localhost:8080\")\n", + "tools = toolkit.get_tools(llm=llm)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/libs/partners/robocorp/.gitignore b/libs/partners/robocorp/.gitignore new file mode 100644 index 0000000000..bee8a64b79 --- /dev/null +++ b/libs/partners/robocorp/.gitignore @@ -0,0 +1 @@ +__pycache__ diff --git a/libs/partners/robocorp/LICENSE b/libs/partners/robocorp/LICENSE new file mode 100644 index 0000000000..426b650903 --- /dev/null +++ b/libs/partners/robocorp/LICENSE @@ -0,0 +1,21 @@ +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/robocorp/Makefile b/libs/partners/robocorp/Makefile new file mode 100644 index 0000000000..a8d7de2808 --- /dev/null +++ b/libs/partners/robocorp/Makefile @@ -0,0 +1,59 @@ +.PHONY: all format lint test tests integration_tests docker_tests help extended_tests + +# Default target executed when no arguments are given to make. +all: help + +# Define a variable for the test file path. +TEST_FILE ?= tests/unit_tests/ + +test: + poetry run pytest $(TEST_FILE) + +tests: + poetry run pytest $(TEST_FILE) + + +###################### +# LINTING AND FORMATTING +###################### + +# Define a variable for Python and notebook files. +PYTHON_FILES=. +MYPY_CACHE=.mypy_cache +lint format: PYTHON_FILES=. +lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/partners/action-server --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$') +lint_package: PYTHON_FILES=langchain_robocorp +lint_tests: PYTHON_FILES=tests +lint_tests: MYPY_CACHE=.mypy_cache_test + +lint lint_diff lint_package lint_tests: + poetry run ruff . + poetry run ruff format $(PYTHON_FILES) --diff + poetry run ruff --select I $(PYTHON_FILES) + mkdir $(MYPY_CACHE); poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) + +format format_diff: + poetry run ruff format $(PYTHON_FILES) + poetry run ruff --select I --fix $(PYTHON_FILES) + +spell_check: + poetry run codespell --toml pyproject.toml + +spell_fix: + poetry run codespell --toml pyproject.toml -w + +check_imports: $(shell find langchain_robocorp -name '*.py') + poetry run python ./scripts/check_imports.py $^ + +###################### +# HELP +###################### + +help: + @echo '----' + @echo 'check_imports - check imports' + @echo 'format - run code formatters' + @echo 'lint - run linters' + @echo 'test - run unit tests' + @echo 'tests - run unit tests' + @echo 'test TEST_FILE= - run all tests in file' diff --git a/libs/partners/robocorp/README.md b/libs/partners/robocorp/README.md new file mode 100644 index 0000000000..31196b8168 --- /dev/null +++ b/libs/partners/robocorp/README.md @@ -0,0 +1,13 @@ +# langchain-robocorp + +This package contains the LangChain integrations for [Robocorp](https://github.com/robocorp/robocorp). + +## Installation + +```bash +pip install -U langchain-robocorp +``` + +## Action Server Toolkit + +See [ActionServerToolkit](./docs/toolkit.ipynb) for detailed documentation. diff --git a/libs/partners/robocorp/langchain_robocorp/__init__.py b/libs/partners/robocorp/langchain_robocorp/__init__.py new file mode 100644 index 0000000000..0ad79d15d5 --- /dev/null +++ b/libs/partners/robocorp/langchain_robocorp/__init__.py @@ -0,0 +1,5 @@ +from langchain_robocorp.toolkits import ActionServerToolkit + +__all__ = [ + "ActionServerToolkit", +] diff --git a/libs/partners/robocorp/langchain_robocorp/_common.py b/libs/partners/robocorp/langchain_robocorp/_common.py new file mode 100644 index 0000000000..d96d89fcf9 --- /dev/null +++ b/libs/partners/robocorp/langchain_robocorp/_common.py @@ -0,0 +1,129 @@ +from dataclasses import dataclass +from typing import List, Tuple + +from langchain_core.utils.json_schema import dereference_refs + + +@dataclass(frozen=True) +class ReducedOpenAPISpec: + """A reduced OpenAPI spec. + + This is reduced representation for OpenAPI specs. + + Attributes: + servers: The servers in the spec. + description: The description of the spec. + endpoints: The endpoints in the spec. + """ + + servers: List[dict] + description: str + endpoints: List[Tuple[str, dict]] + + +def reduce_openapi_spec(url: str, spec: dict) -> ReducedOpenAPISpec: + """Simplify OpenAPI spec to only required information for the agent""" + + # 1. Consider only GET and POST + endpoints = [ + (route, docs) + for route, operation in spec["paths"].items() + for operation_name, docs in operation.items() + if operation_name in ["get", "post"] + ] + + # 2. Replace any refs so that complete docs are retrieved. + # Note: probably want to do this post-retrieval, it blows up the size of the spec. + + # 3. Strip docs down to required request args + happy path response. + def reduce_endpoint_docs(docs: dict) -> dict: + out = {} + if docs.get("summary"): + out["summary"] = docs.get("summary") + if docs.get("operationId"): + out["operationId"] = docs.get("operationId") + if docs.get("description"): + out["description"] = docs.get("description") + if docs.get("parameters"): + out["parameters"] = [ + parameter + for parameter in docs.get("parameters", []) + if parameter.get("required") + ] + if "200" in docs["responses"]: + out["responses"] = docs["responses"]["200"] + if docs.get("requestBody"): + out["requestBody"] = docs.get("requestBody") + return out + + endpoints = [ + (name, reduce_endpoint_docs(dereference_refs(docs, full_schema=spec))) + for name, docs in endpoints + ] + + return ReducedOpenAPISpec( + servers=[ + { + "url": url, + } + ], + description=spec["info"].get("description", ""), + endpoints=endpoints, + ) + + +def get_required_param_descriptions(endpoint_spec: dict) -> str: + """Get an OpenAPI endpoint required parameter descriptions""" + descriptions = [] + + schema = ( + endpoint_spec.get("requestBody", {}) + .get("content", {}) + .get("application/json", {}) + .get("schema", {}) + ) + properties = schema.get("properties", {}) + + required_fields = schema.get("required", []) + + for key, value in properties.items(): + if "description" in value: + if value.get("required") or key in required_fields: + descriptions.append(value.get("description")) + + return ", ".join(descriptions) + + +type_mapping = { + "string": str, + "integer": int, + "number": float, + "object": dict, + "array": list, + "boolean": bool, + "null": type(None), +} + + +def get_param_fields(endpoint_spec: dict) -> dict: + """Get an OpenAPI endpoint parameter details""" + fields = {} + + schema = ( + endpoint_spec.get("requestBody", {}) + .get("content", {}) + .get("application/json", {}) + .get("schema", {}) + ) + properties = schema.get("properties", {}) + required_fields = schema.get("required", []) + + for key, value in properties.items(): + details = { + "description": value.get("description", ""), + "required": key in required_fields, + } + field_type = type_mapping[value.get("type", "string")] + fields[key] = (field_type, details) + + return fields diff --git a/libs/partners/robocorp/langchain_robocorp/_prompts.py b/libs/partners/robocorp/langchain_robocorp/_prompts.py new file mode 100644 index 0000000000..13f4b3f6b8 --- /dev/null +++ b/libs/partners/robocorp/langchain_robocorp/_prompts.py @@ -0,0 +1,18 @@ +# flake8: noqa +TOOLKIT_TOOL_DESCRIPTION = """{description}. The tool must be invoked with a complete sentence starting with "{name}" and additional information on {required_params}.""" + + +API_CONTROLLER_PROMPT = """You are turning user input into a json query for an API request tool. + +The final output to the tool should be a json string with a single key "data". +The value of "data" should be a dictionary of key-value pairs you want to POST to the url. +Always use double quotes for strings in the json string. +Always respond only with the json object and nothing else. + +Here is documentation on the API: +Base url: {api_url} +Endpoint documentation: +{api_docs} + +User Input: {input} +""" diff --git a/libs/partners/robocorp/langchain_robocorp/py.typed b/libs/partners/robocorp/langchain_robocorp/py.typed new file mode 100644 index 0000000000..e69de29bb2 diff --git a/libs/partners/robocorp/langchain_robocorp/toolkits.py b/libs/partners/robocorp/langchain_robocorp/toolkits.py new file mode 100644 index 0000000000..92f082667f --- /dev/null +++ b/libs/partners/robocorp/langchain_robocorp/toolkits.py @@ -0,0 +1,243 @@ +"""Robocorp Action Server toolkit.""" +from __future__ import annotations + +import json +from typing import Any, Callable, Dict, List, Optional, TypedDict +from urllib.parse import urljoin + +import requests +from langchain_core.callbacks import CallbackManagerForToolRun +from langchain_core.callbacks.base import BaseCallbackHandler +from langchain_core.callbacks.manager import CallbackManager +from langchain_core.language_models.chat_models import BaseChatModel +from langchain_core.output_parsers import StrOutputParser +from langchain_core.prompts import PromptTemplate +from langchain_core.pydantic_v1 import BaseModel, Field, PrivateAttr, create_model +from langchain_core.runnables import Runnable, RunnablePassthrough +from langchain_core.tools import BaseTool, StructuredTool, Tool +from langchain_core.tracers.context import _tracing_v2_is_enabled +from langsmith import Client + +from langchain_robocorp._common import ( + get_param_fields, + get_required_param_descriptions, + reduce_openapi_spec, +) +from langchain_robocorp._prompts import ( + API_CONTROLLER_PROMPT, + TOOLKIT_TOOL_DESCRIPTION, +) + +MAX_RESPONSE_LENGTH = 5000 +LLM_TRACE_HEADER = "X-action-trace" + + +class RunDetailsCallbackHandler(BaseCallbackHandler): + def __init__(self, run_details: dict) -> None: + self.run_details = run_details + + def on_tool_start( + self, + serialized: Dict[str, Any], + input_str: str, + **kwargs: Any, + ) -> None: + if "parent_run_id" in kwargs: + self.run_details["run_id"] = kwargs["parent_run_id"] + else: + if "run_id" in self.run_details: + self.run_details.pop("run_id") + + +class ToolInputSchema(BaseModel): + question: str = Field(...) + + +class ToolArgs(TypedDict): + name: str + description: str + callback_manager: CallbackManager + + +class ActionServerRequestTool(BaseTool): + """Requests POST tool with LLM-instructed extraction of truncated responses.""" + + name: str = "action_server_request" + """Tool name.""" + description: str = "Useful to make requests to Action Server API" + """Tool description.""" + endpoint: str + """"Action API endpoint""" + action_request: Callable[[str], str] + """Action request execution""" + + def _run( + self, query: str, run_manager: Optional[CallbackManagerForToolRun] = None + ) -> str: + try: + json_text = query[query.find("{") : query.rfind("}") + 1] + payload = json.loads(json_text) + + except json.JSONDecodeError as e: + raise e + + return self.action_request(self.endpoint, **payload["data"]) + + async def _arun(self, text: str) -> str: + raise NotImplementedError() + + +class ActionServerToolkit(BaseModel): + """Toolkit exposing Robocorp Action Server provided actions as individual tools.""" + + url: str = Field(exclude=True) + """Action Server URL""" + api_key: str = Field(exclude=True, default="") + """Action Server request API key""" + report_trace: bool = Field(exclude=True, default=False) + """Enable reporting Langsmith trace to Action Server runs""" + _run_details: dict = PrivateAttr({}) + + class Config: + arbitrary_types_allowed = True + + def get_tools( + self, + llm: Optional[BaseChatModel] = None, + callback_manager: Optional[CallbackManager] = None, + ) -> List[BaseTool]: + """ + Get Action Server actions as a toolkit + + :param llm: Optionally pass a model to return single input tools + :param callback_manager: Callback manager to be passed to tools + """ + + # Fetch and format the API spec + try: + spec_url = urljoin(self.url, "openapi.json") + response = requests.get(spec_url) + json_spec = response.json() + api_spec = reduce_openapi_spec(self.url, json_spec) + except Exception: + raise ValueError( + f"Failed to fetch OpenAPI schema from Action Server - {self.url}" + ) + + # Prepare request tools + self._run_details: dict = {} + + # Prepare callback manager + if callback_manager is None: + callback_manager = CallbackManager([]) + callbacks: List[BaseCallbackHandler] = [] + + if _tracing_v2_is_enabled(): + callbacks.append(RunDetailsCallbackHandler(self._run_details)) + + for callback in callbacks: + callback_manager.add_handler(callback) + + toolkit: List[BaseTool] = [] + + # Prepare tools + for endpoint, docs in api_spec.endpoints: + if not endpoint.startswith("/api/actions"): + continue + + summary = docs["summary"] + + tool_description = TOOLKIT_TOOL_DESCRIPTION.format( + name=summary, + description=docs.get("description", summary), + required_params=get_required_param_descriptions(docs), + ) + + tool_args: ToolArgs = { + "name": f"robocorp_action_server_{docs['operationId']}", + "description": tool_description, + "callback_manager": callback_manager, + } + + if llm: + tool = self._get_unstructured_tool(endpoint, docs, tool_args, llm) + else: + tool = self._get_structured_tool(endpoint, docs, tool_args) + + toolkit.append(tool) + + return toolkit + + def _get_unstructured_tool( + self, + endpoint: str, + docs: dict, + tool_args: ToolArgs, + llm: BaseChatModel, + ) -> BaseTool: + request_tool = ActionServerRequestTool( + action_request=self._action_request, endpoint=endpoint + ) + + prompt_variables = { + "api_url": self.url, + } + + tool_name = tool_args["name"] + tool_docs = json.dumps(docs, indent=4) + prompt_variables["api_docs"] = f"{tool_name}: \n{tool_docs}" + + prompt = PromptTemplate( + template=API_CONTROLLER_PROMPT, + input_variables=["input"], + partial_variables=prompt_variables, + ) + + chain: Runnable = ( + {"input": RunnablePassthrough()} + | prompt + | llm + | StrOutputParser() + | request_tool + ) + + return Tool(func=chain.invoke, args_schema=ToolInputSchema, **tool_args) + + def _get_structured_tool( + self, endpoint: str, docs: dict, tools_args: ToolArgs + ) -> BaseTool: + fields = get_param_fields(docs) + + def create_function(endpoint: str) -> Callable: + def func(**data: dict[str, Any]) -> str: + return self._action_request(endpoint, **data) + + return func + + return StructuredTool( + func=create_function(endpoint), + args_schema=create_model("DynamicToolInputSchema", **fields), + **tools_args, + ) + + def _action_request(self, endpoint: str, **data: dict[str, Any]) -> str: + headers = { + "Authorization": f"Bearer {self.api_key}", + "Content-Type": "application/json", + } + + try: + if self.report_trace and "run_id" in self._run_details: + client = Client() + run = client.read_run(self._run_details["run_id"]) + if run.url: + headers[LLM_TRACE_HEADER] = run.url + except Exception: + pass + + url = urljoin(self.url, endpoint) + + response = requests.post(url, headers=headers, data=json.dumps(data)) + output = response.text[:MAX_RESPONSE_LENGTH] + + return output diff --git a/libs/partners/robocorp/poetry.lock b/libs/partners/robocorp/poetry.lock new file mode 100644 index 0000000000..38385780b3 --- /dev/null +++ b/libs/partners/robocorp/poetry.lock @@ -0,0 +1,852 @@ +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. + 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true + +[tool.poetry.group.test.dependencies] +pytest = "^7.3.0" +freezegun = "^1.2.2" +pytest-mock = "^3.10.0" +syrupy = "^4.0.2" +pytest-watcher = "^0.3.4" +pytest-asyncio = "^0.21.1" +langchain-core = {path = "../../core", develop = true} + +[tool.poetry.group.codespell] +optional = true + +[tool.poetry.group.codespell.dependencies] +codespell = "^2.2.0" + +[tool.poetry.group.test_integration] +optional = true + +[tool.poetry.group.test_integration.dependencies] + +[tool.poetry.group.lint] +optional = true + +[tool.poetry.group.lint.dependencies] +ruff = "^0.1.5" + +[tool.poetry.group.typing.dependencies] +mypy = "^0.991" +langchain-core = {path = "../../core", develop = true} + +[tool.poetry.group.dev] +optional = true + +[tool.poetry.group.dev.dependencies] +langchain-core = {path = "../../core", develop = true} + +[tool.ruff] +select = [ + "E", # pycodestyle + "F", # pyflakes + "I", # isort +] + +[tool.mypy] +disallow_untyped_defs = "True" + +[tool.coverage.run] +omit = [ + "tests/*", +] + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" + +[tool.pytest.ini_options] +# --strict-markers will raise errors on unknown marks. +# https://docs.pytest.org/en/7.1.x/how-to/mark.html#raising-errors-on-unknown-marks +# +# https://docs.pytest.org/en/7.1.x/reference/reference.html +# --strict-config any warnings encountered while parsing the `pytest` +# section of the configuration file raise errors. +# +# https://github.com/tophat/syrupy +# --snapshot-warn-unused Prints a warning on unused snapshots rather than fail the test suite. +addopts = "--snapshot-warn-unused --strict-markers --strict-config --durations=5" +# Registering custom markers. +# https://docs.pytest.org/en/7.1.x/example/markers.html#registering-markers +markers = [ + "requires: mark tests as requiring a specific library", + "asyncio: mark tests as requiring asyncio", + "compile: mark placeholder test used to compile integration tests without running them", +] +asyncio_mode = "auto" diff --git a/libs/partners/robocorp/scripts/check_imports.py b/libs/partners/robocorp/scripts/check_imports.py new file mode 100644 index 0000000000..ba8de50118 --- /dev/null +++ b/libs/partners/robocorp/scripts/check_imports.py @@ -0,0 +1,17 @@ +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 + print(file) + traceback.print_exc() + print() + + sys.exit(1 if has_failure else 0) diff --git a/libs/partners/robocorp/scripts/check_pydantic.sh b/libs/partners/robocorp/scripts/check_pydantic.sh new file mode 100755 index 0000000000..06b5bb81ae --- /dev/null +++ b/libs/partners/robocorp/scripts/check_pydantic.sh @@ -0,0 +1,27 @@ +#!/bin/bash +# +# This script searches for lines starting with "import pydantic" or "from pydantic" +# in tracked files within a Git repository. +# +# Usage: ./scripts/check_pydantic.sh /path/to/repository + +# Check if a path argument is provided +if [ $# -ne 1 ]; then + echo "Usage: $0 /path/to/repository" + exit 1 +fi + +repository_path="$1" + +# Search for lines matching the pattern within the specified repository +result=$(git -C "$repository_path" grep -E '^import pydantic|^from pydantic') + +# Check if any matching lines were found +if [ -n "$result" ]; then + echo "ERROR: The following lines need to be updated:" + echo "$result" + echo "Please replace the code with an import from langchain_core.pydantic_v1." + echo "For example, replace 'from pydantic import BaseModel'" + echo "with 'from langchain_core.pydantic_v1 import BaseModel'" + exit 1 +fi diff --git a/libs/partners/robocorp/scripts/lint_imports.sh b/libs/partners/robocorp/scripts/lint_imports.sh new file mode 100755 index 0000000000..695613c7ba --- /dev/null +++ b/libs/partners/robocorp/scripts/lint_imports.sh @@ -0,0 +1,17 @@ +#!/bin/bash + +set -eu + +# Initialize a variable to keep track of errors +errors=0 + +# make sure not importing from langchain or langchain_experimental +git --no-pager grep '^from langchain\.' . && errors=$((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/robocorp/tests/__init__.py b/libs/partners/robocorp/tests/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/libs/partners/robocorp/tests/integration_tests/__init__.py b/libs/partners/robocorp/tests/integration_tests/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/libs/partners/robocorp/tests/integration_tests/test_compile.py b/libs/partners/robocorp/tests/integration_tests/test_compile.py new file mode 100644 index 0000000000..33ecccdfa0 --- /dev/null +++ b/libs/partners/robocorp/tests/integration_tests/test_compile.py @@ -0,0 +1,7 @@ +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/robocorp/tests/unit_tests/__init__.py b/libs/partners/robocorp/tests/unit_tests/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/libs/partners/robocorp/tests/unit_tests/_fixtures.py b/libs/partners/robocorp/tests/unit_tests/_fixtures.py new file mode 100644 index 0000000000..d48bf7bcc3 --- /dev/null +++ b/libs/partners/robocorp/tests/unit_tests/_fixtures.py @@ -0,0 +1,73 @@ +from typing import Any, List, Optional + +from langchain_core.callbacks.manager import CallbackManagerForLLMRun +from langchain_core.language_models.chat_models import BaseChatModel +from langchain_core.messages import AIMessage, BaseMessage +from langchain_core.outputs import ChatGeneration, ChatResult + + +class FakeChatLLMT(BaseChatModel): + @property + def _llm_type(self) -> str: + return "fake-openai-chat-model" + + def _generate( + self, + messages: List[BaseMessage], + stop: Optional[List[str]] = None, + run_manager: Optional[CallbackManagerForLLMRun] = None, + **kwargs: Any, + ) -> ChatResult: + return ChatResult( + generations=[ + ChatGeneration( + message=AIMessage( + content="", + additional_kwargs={ + "function_call": { + "name": "accept", + "arguments": '{\n "draft": "turtles"\n}', + } + }, + ) + ) + ] + ) + + +openapi_endpoint_doc_mock = { + "summary": "Test Action", + "operationId": "test_action", + "description": "Greets an employee", + "responses": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "string", + "title": "Response Test Action", + "description": "The greeting", + } + } + }, + }, + "requestBody": { + "content": { + "application/json": { + "schema": { + "properties": { + "name": { + "type": "string", + "title": "Name", + "description": "Name of the employee", + } + }, + "type": "object", + "required": ["name"], + "title": "TestActionInput", + } + } + }, + "required": True, + }, +} diff --git a/libs/partners/robocorp/tests/unit_tests/_openapi.fixture.json b/libs/partners/robocorp/tests/unit_tests/_openapi.fixture.json new file mode 100644 index 0000000000..9278644f16 --- /dev/null +++ b/libs/partners/robocorp/tests/unit_tests/_openapi.fixture.json @@ -0,0 +1,411 @@ +{ + "openapi": "3.1.0", + "info": { + "title": "Robocorp Actions Server", + "description": "Robocorp Actions Server", + "version": "0.1.0" + }, + "paths": { + "/api/actions/test/test-action/run": { + "post": { + "summary": "Test Action", + "description": "Greets an employee", + "operationId": "test_action", + "requestBody": { + "content": { + "application/json": { + "schema": { "$ref": "#/components/schemas/TestActionInput" } + } + }, + "required": true + }, + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "string", + "title": "Response Test Action", + "description": "The greeting" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { "$ref": "#/components/schemas/HTTPValidationError" } + } + } + } + } + } + }, + "/api/runs": { + "get": { + "summary": "List Runs", + "operationId": "list_runs_api_runs_get", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { "$ref": "#/components/schemas/Run" }, + "type": "array", + "title": "Response List Runs Api Runs Get" + } + } + } + } + } + } + }, + "/api/runs/{run_id}": { + "get": { + "summary": "Show Run", + "operationId": "show_run_api_runs__run_id__get", + "parameters": [ + { + "name": "run_id", + "in": "path", + "required": true, + "schema": { "type": "string", "title": "ID for run" } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { "$ref": "#/components/schemas/Run" } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { "$ref": "#/components/schemas/HTTPValidationError" } + } + } + } + } + } + }, + "/api/runs/{run_id}/artifacts": { + "get": { + "summary": "Get Run Artifacts", + "operationId": "get_run_artifacts_api_runs__run_id__artifacts_get", + "parameters": [ + { + "name": "run_id", + "in": "path", + "required": true, + "schema": { "type": "string", "title": "ID for run" } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "array", + "items": { "$ref": "#/components/schemas/ArtifactInfo" }, + "description": "Provides a list with the artifacts available\nfor a given run (i.e.: [{'name': '__action_server_output.txt', 'size_in_bytes': 22}])\n", + "title": "Response Get Run Artifacts Api Runs Run Id Artifacts Get" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { "$ref": "#/components/schemas/HTTPValidationError" } + } + } + } + } + } + }, + "/api/runs/{run_id}/log.html": { + "get": { + "summary": "Get Run Log Html", + "operationId": "get_run_log_html_api_runs__run_id__log_html_get", + "parameters": [ + { + "name": "run_id", + "in": "path", + "required": true, + "schema": { "type": "string", "title": "ID for run" } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { "application/json": { "schema": {} } } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { "$ref": "#/components/schemas/HTTPValidationError" } + } + } + } + } + } + }, + "/api/runs/{run_id}/artifacts/text-content": { + "get": { + "summary": "Get Run Artifact Text", + "operationId": "get_run_artifact_text_api_runs__run_id__artifacts_text_content_get", + "parameters": [ + { + "name": "run_id", + "in": "path", + "required": true, + "schema": { "type": "string", "title": "ID for run" } + }, + { + "name": "artifact_names", + "in": "query", + "required": false, + "schema": { + "anyOf": [ + { "type": "array", "items": { "type": "string" } }, + { "type": "null" } + ], + "title": "Artifact names for which the content should be gotten." + } + }, + { + "name": "artifact_name_regexp", + "in": "query", + "required": false, + "schema": { + "anyOf": [{ "type": "string" }, { "type": "null" }], + "title": "A regexp to match artifact names." + } + } + ], + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "type": "object", + "additionalProperties": { "type": "string" }, + "title": "Response Get Run Artifact Text Api Runs Run Id Artifacts Text Content Get" + } + } + } + }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { "$ref": "#/components/schemas/HTTPValidationError" } + } + } + } + } + } + }, + "/api/runs/{run_id}/artifacts/binary-content": { + "get": { + "summary": "Get Run Artifact Binary", + "operationId": "get_run_artifact_binary_api_runs__run_id__artifacts_binary_content_get", + "parameters": [ + { + "name": "run_id", + "in": "path", + "required": true, + "schema": { "type": "string", "title": "ID for run" } + }, + { + "name": "artifact_name", + "in": "query", + "required": true, + "schema": { + "type": "string", + "title": "Artifact name for which the content should be gotten." + } + } + ], + "responses": { + "200": { "description": "Successful Response" }, + "422": { + "description": "Validation Error", + "content": { + "application/json": { + "schema": { "$ref": "#/components/schemas/HTTPValidationError" } + } + } + } + } + } + }, + "/api/actionPackages": { + "get": { + "summary": "List Action Packages", + "operationId": "list_action_packages_api_actionPackages_get", + "responses": { + "200": { + "description": "Successful Response", + "content": { + "application/json": { + "schema": { + "items": { "$ref": "#/components/schemas/ActionPackageApi" }, + "type": "array", + "title": "Response List Action Packages Api Actionpackages Get" + } + } + } + } + } + } + } + }, + "components": { + "schemas": { + "Action": { + "properties": { + "id": { "type": "string", "title": "Id" }, + "action_package_id": { + "type": "string", + "title": "Action Package Id" + }, + "name": { "type": "string", "title": "Name" }, + "docs": { "type": "string", "title": "Docs" }, + "file": { "type": "string", "title": "File" }, + "lineno": { "type": "integer", "title": "Lineno" }, + "input_schema": { "type": "string", "title": "Input Schema" }, + "output_schema": { "type": "string", "title": "Output Schema" }, + "enabled": { "type": "boolean", "title": "Enabled", "default": true }, + "is_consequential": { + "anyOf": [{ "type": "boolean" }, { "type": "null" }], + "title": "Is Consequential" + } + }, + "type": "object", + "required": [ + "id", + "action_package_id", + "name", + "docs", + "file", + "lineno", + "input_schema", + "output_schema" + ], + "title": "Action" + }, + "ActionPackageApi": { + "properties": { + "id": { "type": "string", "title": "Id" }, + "name": { "type": "string", "title": "Name" }, + "actions": { + "items": { "$ref": "#/components/schemas/Action" }, + "type": "array", + "title": "Actions" + } + }, + "type": "object", + "required": ["id", "name", "actions"], + "title": "ActionPackageApi" + }, + "ArtifactInfo": { + "properties": { + "name": { "type": "string", "title": "Name" }, + "size_in_bytes": { "type": "integer", "title": "Size In Bytes" } + }, + "type": "object", + "required": ["name", "size_in_bytes"], + "title": "ArtifactInfo" + }, + "HTTPValidationError": { + "properties": { + "errors": { + "items": { "$ref": "#/components/schemas/ValidationError" }, + "type": "array", + "title": "Errors" + } + }, + "type": "object", + "title": "HTTPValidationError" + }, + "Run": { + "properties": { + "id": { "type": "string", "title": "Id" }, + "status": { "type": "integer", "title": "Status" }, + "action_id": { "type": "string", "title": "Action Id" }, + "start_time": { "type": "string", "title": "Start Time" }, + "run_time": { + "anyOf": [{ "type": "number" }, { "type": "null" }], + "title": "Run Time" + }, + "inputs": { "type": "string", "title": "Inputs" }, + "result": { + "anyOf": [{ "type": "string" }, { "type": "null" }], + "title": "Result" + }, + "error_message": { + "anyOf": [{ "type": "string" }, { "type": "null" }], + "title": "Error Message" + }, + "relative_artifacts_dir": { + "type": "string", + "title": "Relative Artifacts Dir" + }, + "numbered_id": { "type": "integer", "title": "Numbered Id" } + }, + "type": "object", + "required": [ + "id", + "status", + "action_id", + "start_time", + "run_time", + "inputs", + "result", + "error_message", + "relative_artifacts_dir", + "numbered_id" + ], + "title": "Run" + }, + "TestActionInput": { + "properties": { + "name": { + "type": "string", + "title": "Name", + "description": "Name of the employee" + } + }, + "type": "object", + "required": ["name"], + "title": "TestActionInput" + }, + "ValidationError": { + "properties": { + "loc": { + "items": { "anyOf": [{ "type": "string" }, { "type": "integer" }] }, + "type": "array", + "title": "Location" + }, + "msg": { "type": "string", "title": "Message" }, + "type": { "type": "string", "title": "Error Type" } + }, + "type": "object", + "required": ["loc", "msg", "type"], + "title": "ValidationError" + } + } + } +} diff --git a/libs/partners/robocorp/tests/unit_tests/test_common.py b/libs/partners/robocorp/tests/unit_tests/test_common.py new file mode 100644 index 0000000000..fe7479bcf2 --- /dev/null +++ b/libs/partners/robocorp/tests/unit_tests/test_common.py @@ -0,0 +1,24 @@ +"""Test common functions.""" +import json +import unittest +from pathlib import Path + +from langchain_robocorp._common import reduce_openapi_spec + +from ._fixtures import openapi_endpoint_doc_mock + + +class TestReduceOpenAPISpec(unittest.TestCase): + maxDiff = None + + def test_reduce_openapi_spec(self) -> None: + with Path(__file__).with_name("_openapi.fixture.json").open("r") as file: + original = json.load(file) + + output = reduce_openapi_spec("https://foo.bar", original) + + self.assertEqual(output.servers, [{"url": "https://foo.bar"}]) + self.assertEqual(output.description, "Robocorp Actions Server") + + self.assertEqual(len(output.endpoints), 8) + self.assertEqual(output.endpoints[0][1], openapi_endpoint_doc_mock) diff --git a/libs/partners/robocorp/tests/unit_tests/test_imports.py b/libs/partners/robocorp/tests/unit_tests/test_imports.py new file mode 100644 index 0000000000..d5662ea8f4 --- /dev/null +++ b/libs/partners/robocorp/tests/unit_tests/test_imports.py @@ -0,0 +1,9 @@ +from langchain_robocorp import __all__ + +EXPECTED_ALL = [ + "ActionServerToolkit", +] + + +def test_all_imports() -> None: + assert sorted(EXPECTED_ALL) == sorted(__all__) diff --git a/libs/partners/robocorp/tests/unit_tests/test_toolkits.py b/libs/partners/robocorp/tests/unit_tests/test_toolkits.py new file mode 100644 index 0000000000..f3efec4289 --- /dev/null +++ b/libs/partners/robocorp/tests/unit_tests/test_toolkits.py @@ -0,0 +1,9 @@ +"""Test toolkit integration.""" +from langchain_robocorp.toolkits import ActionServerToolkit + +from ._fixtures import FakeChatLLMT + + +def test_initialization() -> None: + """Test toolkit initialization.""" + ActionServerToolkit(url="http://localhost", llm=FakeChatLLMT())