diff --git a/docs/docs/integrations/providers/robocorp.mdx b/docs/docs/integrations/providers/robocorp.mdx
new file mode 100644
index 0000000000000..df53a2eb3ffd3
--- /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 0000000000000..ff60dc10ca781
--- /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 0000000000000..bee8a64b79a99
--- /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 0000000000000..426b65090341f
--- /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 0000000000000..a8d7de2808869
--- /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=<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 0000000000000..31196b8168849
--- /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 0000000000000..0ad79d15d5126
--- /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 0000000000000..d96d89fcf9ce9
--- /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 0000000000000..13f4b3f6b8a78
--- /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 0000000000000..e69de29bb2d1d
diff --git a/libs/partners/robocorp/langchain_robocorp/toolkits.py b/libs/partners/robocorp/langchain_robocorp/toolkits.py
new file mode 100644
index 0000000000000..92f082667f3e9
--- /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 0000000000000..38385780b37e5
--- /dev/null
+++ b/libs/partners/robocorp/poetry.lock
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+[[package]]
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+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
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+[[package]]
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+version = "1.3.0"
+description = "Sniff out which async library your code is running under"
+optional = false
+python-versions = ">=3.7"
+files = [
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+[[package]]
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+description = "Pytest Snapshot Test Utility"
+optional = false
+python-versions = ">=3.8.1,<4"
+files = [
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+[package.dependencies]
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+
+[[package]]
+name = "tenacity"
+version = "8.2.3"
+description = "Retry code until it succeeds"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.extras]
+doc = ["reno", "sphinx", "tornado (>=4.5)"]
+
+[[package]]
+name = "tomli"
+version = "2.0.1"
+description = "A lil' TOML parser"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[[package]]
+name = "types-requests"
+version = "2.31.0.20231231"
+description = "Typing stubs for requests"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "types-requests-2.31.0.20231231.tar.gz", hash = "sha256:0f8c0c9764773384122813548d9eea92a5c4e1f33ed54556b508968ec5065cee"},
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+[package.dependencies]
+urllib3 = ">=2"
+
+[[package]]
+name = "typing-extensions"
+version = "4.9.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
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+]
+
+[[package]]
+name = "urllib3"
+version = "2.1.0"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
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+]
+
+[package.extras]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
+
+[[package]]
+name = "watchdog"
+version = "3.0.0"
+description = "Filesystem events monitoring"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "watchdog-3.0.0.tar.gz", hash = "sha256:4d98a320595da7a7c5a18fc48cb633c2e73cda78f93cac2ef42d42bf609a33f9"},
+]
+
+[package.extras]
+watchmedo = ["PyYAML (>=3.10)"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = ">=3.8.1,<4.0"
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diff --git a/libs/partners/robocorp/pyproject.toml b/libs/partners/robocorp/pyproject.toml
new file mode 100644
index 0000000000000..f3c05b6fba970
--- /dev/null
+++ b/libs/partners/robocorp/pyproject.toml
@@ -0,0 +1,91 @@
+[tool.poetry]
+name = "langchain-robocorp"
+version = "0.0.1"
+description = "An integration package connecting Robocorp and LangChain"
+authors = []
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = ">=3.8.1,<4.0"
+langchain-core = ">=0.0.12"
+requests = "^2.31.0"
+types-requests = "^2.31.0.20231231"
+langsmith = "^0.0.77"
+
+[tool.poetry.group.test]
+optional = 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 0000000000000..ba8de50118c4e
--- /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 0000000000000..06b5bb81ae236
--- /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 "$result"
+  echo "Please replace the code with an import from langchain_core.pydantic_v1."
+  echo "For example, replace 'from pydantic import BaseModel'"
+  echo "with 'from langchain_core.pydantic_v1 import BaseModel'"
+  exit 1
+fi
diff --git a/libs/partners/robocorp/scripts/lint_imports.sh b/libs/partners/robocorp/scripts/lint_imports.sh
new file mode 100755
index 0000000000000..695613c7ba8fd
--- /dev/null
+++ b/libs/partners/robocorp/scripts/lint_imports.sh
@@ -0,0 +1,17 @@
+#!/bin/bash
+
+set -eu
+
+# Initialize a variable to keep track of errors
+errors=0
+
+# make sure not importing from langchain or langchain_experimental
+git --no-pager grep '^from langchain\.' . && errors=$((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 0000000000000..e69de29bb2d1d
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 0000000000000..e69de29bb2d1d
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 0000000000000..33ecccdfa0fbd
--- /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 0000000000000..e69de29bb2d1d
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 0000000000000..d48bf7bcc3adc
--- /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 0000000000000..9278644f16cc3
--- /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 0000000000000..fe7479bcf2263
--- /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 0000000000000..d5662ea8f4b44
--- /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 0000000000000..f3efec4289c1f
--- /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())