| Name | toolhouse JSON |
| Version |
1.3.1
JSON |
| download |
| home_page | None |
| Summary | The official Python SDK for the Toolhouse API |
| upload_time | 2024-12-23 22:50:43 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. 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| keywords |
ai
llm
sdk
toolhouse
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
requests
http-exceptions
pytest
responses
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Toolhouse Python SDK
Welcome to the [Toolhouse Python SDK](https://docs.toolhouse.ai/toolhouse/quick-start-python) documentation. This guide will help you get started with integrating and using the SDK in your project.
Toolhouse allows you to unlock the best LLM knowledge and actions. It works across a wide ranges or LLMs and providers.
With Toolhouse, you can install tools from the [Tool Store](https://app.toolhouse.ai/store) and execute them in the cloud, without the need to handling their execution locally.
For more details, you can check out our [documentation](https://docs.toolhouse.ai).
## Table of Contents
- [Toolhouse Python SDK](#toolhouse-python-sdk)
- [Table of Contents](#table-of-contents)
- [About the API](#about-the-api)
- [Installation](#installation)
- [Getting started](#getting-started)
- [Providers](#providers)
- [Sample usage](#sample-usage)
- [Use Local Tools](#use-local-tools)
- [Use Bundles](#use-bundles)
- [Contributing](#contributing)
- [Publishing tools](#publishing-tools)
- [License](#license)
## About the API
The Toolhouse API provides access to various AI-powered tools and services, that you can install from the [Tool Store](https://app.toolhouse.ai/store).
## Installation
With `pip`:
```pip install toolhouse```
With `poetry`:
```poetry add toolhouse```
### Getting started
In order to use the SDK, you will need a Toolhouse API key. To get the API key:
1. [Sign up for Toolhouse](https://app.toolhouse.ai/auth/sign-up) or [log in](https://app.toolhouse.ai/auth/login) if you are an existing Toolhouse user.
1. Go to your user ➡️ API Keys ([direct link](https://app.toolhouse.ai/settings/api-keys))
1. Give your API key a name and click Generate.
Copy the API Key and save it where you save your secrets. We'll assume you have a .env file.
We suggest saving your API Key as `TOOLHOUSE_API_KEY` in your environment file. This allows Toolhouse to pick up its value directly in your code.
```bash
TOOLHOUSE_API_KEY=<Your API Key value>
```
Alternatively, you can set the API key when you initialize the SDK. You can do this in the constructor:
```py
tools = Toolhouse('YOUR_API_KEY')
```
You can also use the `set_api_key` method:
```py
tools = Toolhouse()
tools.set_api_key('YOUR_API_KEY')
```
Our [Quick start guide](https://docs.toolhouse.ai/toolhouse/quick-start) has all you need to get you set up quickly.
### Providers
Toolhouse works with the widest possible range of LLMs across different providers. By default, the Toolhouse API will work with any LLM that is compatible with the OpenAI chat completions API.
You can switch providers when initializing the SDK through the constructor:
```py
from toolhouse import Toolhouse, Provider
tools = Toolhouse(provider=provider.ANTHROPIC)
```
If you are passing your API key:
```py
from toolhouse import Toolhouse, Provider
tools = Toolhouse('YOUR_API_KEY', provider.ANTHROPIC)
```
## Sample usage
In this example, we'll use the OpenAI SDK as well as dotenv.
```sh
pip install python-dotenv
```
Create a `.env` and add your API keys there.
```bash
TOOLHOUSE_API_KEY=
OPENAI_API_KEY=
```
Head over to Toolhouse and install the [Current time tool](https://app.toolhouse.ai/store/current_time).
```py
import os
from dotenv import load_dotenv
from toolhouse import Toolhouse
from openai import OpenAI
from typing import List
load_dotenv()
TH_API_KEY = os.getenv("TOOLHOUSE_API_KEY")
OAI_KEY = os.getenv("OPENAI_API_KEY")
client = OpenAI(api_key=OAI_KEY)
th = Toolhouse(api_key=TH_API_KEY, provider="openai")
#Metadata to convert UTC time to your localtime
th.set_metadata("timezone", -7)
messages: List = [{
"role": "user",
"content": "What's the current time?"
}]
response = client.chat.completions.create(
model='gpt-4o',
messages=messages,
tools=th.get_tools(),
tool_choice="auto"
)
messages += th.run_tools(response)
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=messages,
tools=th.get_tools(),
tool_choice="auto"
)
print(response.choices[0].message.content)
```
## Use Local Tools
To utilize a local tool, you need to define the tool, its JSON schema, and register it with the Toolhouse SDK. Here's a step-by-step guide:
1. Create the local tool function.
2. Define the JSON schema for the local tool function.
3. Register the local tool with the Toolhouse SDK.
4. Add the local tool to the messages.
5. Utilize the local tool within the Toolhouse SDK.
Here is a sample code:
```py
"""OpenAI Sample"""
import os
from typing import List
from dotenv import load_dotenv
from openai import OpenAI
from toolhouse import Toolhouse
# Make sure to set up the .env file according to the .env.example file.
load_dotenv()
TH_API_KEY = os.getenv("TOOLHOUSE_API_KEY")
OAI_KEY = os.getenv("OPENAI_API_KEY")
local_tools = [
{'type': 'function',
'function':
{
'name': 'hello',
'description': 'The user receives a customized hello message from a city and returns it to the user.',
'parameters': {
'type': 'object',
'properties': {
'city': {'type': 'string', 'description': 'The city where you are from'}
}},
'required': ['city']
}}]
th = Toolhouse(api_key=TH_API_KEY, provider="openai")
th.set_metadata("id", "fabio")
th.set_metadata("timezone", 5)
@th.register_local_tool("hello") # the name used to register the tool should be the same as the name in the json schema
def hello_tool(city: str):
"""Return a Hello message from a specific city."""
return f"Hello from {city}!!!"
client = OpenAI(api_key=OAI_KEY)
messages: List = [{
"role": "user",
"content":
"Can I get a hello from Rome?"
}]
response = client.chat.completions.create(
model='gpt-4o',
messages=messages,
tools=th.get_tools() + local_tools
)
messages += th.run_tools(response)
response = client.chat.completions.create(
model="gpt-4o",
messages=messages,
tools=th.get_tools() + local_tools
)
print(response.choices[0].message.content)
```
## Use Bundles
Bundles help you define groups of tools you want to pass to the LLM based on specific contextual need.
For example, if you want to enhance your LLM's knowledge with live stock market data, you can create a Bundle with a stock price API call, a RAG for stock news, and summarization of SEC filings.
In order to create a bundle, you need to:
1. Go to the [Tool Store - Bundles](https://app.toolhouse.ai/bundles) and create a new bundle. eg: "stock_bundle"
2. Add tools to the bundle.
3. Use the bundle in the Toolhouse SDK.
Here is a sample code:
```py
import os
from typing import List
from dotenv import load_dotenv
from openai import OpenAI
from toolhouse import Toolhouse
# Make sure to set up the .env file according to the .env.example file.
load_dotenv()
th = Toolhouse(api_key=TH_API_KEY, provider="openai")
th.set_metadata("id", "fabio") # metadata is optional based on the tools you are using
th.set_metadata("timezone", 5) # metadata is optional based on the tools you are using
client = OpenAI(api_key=OAI_KEY)
messages: List = [{
"role": "user",
"content": "What is the stock price of Apple?"
}]
response = client.chat.completions.create(
model='gpt-4o',
messages=messages,
tools=th.get_tools(bundle="stock_bundle")
)
```
## Contributing
We welcome pull requests that add meaningful additions to these code samples, particularly for issues that can expand compability.
You can submit issues (for example for feature requests or improvements) by using the Issues tab.
## Publishing tools
Developers can also contribute to Toolhouse by publishing tools for the [Tool Store](https://app.toolhouse.ai/store). The Tool Store allows developers to submit their tools and monetize them every time they're executed. Developers and tools must go through an review and approval process, which includes adhering to the Toolhouse Privacy and Data Protection policy. If you're interested in becoming a publisher, [submit your application](https://tally.so/r/wzeO68).
## License
This SDK is licensed under the Apache-2.0 License. See the [LICENSE](LICENSE) file for more details.
Raw data
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"author_email": "Toolhouse Technologies <hello@toolhouse.ai>",
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"description": "\n\n# Toolhouse Python SDK\n\nWelcome to the [Toolhouse Python SDK](https://docs.toolhouse.ai/toolhouse/quick-start-python) documentation. This guide will help you get started with integrating and using the SDK in your project.\n\nToolhouse allows you to unlock the best LLM knowledge and actions. It works across a wide ranges or LLMs and providers.\n\nWith Toolhouse, you can install tools from the [Tool Store](https://app.toolhouse.ai/store) and execute them in the cloud, without the need to handling their execution locally.\n\nFor more details, you can check out our [documentation](https://docs.toolhouse.ai).\n\n\n\n## Table of Contents\n\n- [Toolhouse Python SDK](#toolhouse-python-sdk)\n - [Table of Contents](#table-of-contents)\n - [About the API](#about-the-api)\n - [Installation](#installation)\n - [Getting started](#getting-started)\n - [Providers](#providers)\n - [Sample usage](#sample-usage)\n - [Use Local Tools](#use-local-tools)\n - [Use Bundles](#use-bundles)\n - [Contributing](#contributing)\n - [Publishing tools](#publishing-tools)\n - [License](#license)\n\n## About the API\n\nThe Toolhouse API provides access to various AI-powered tools and services, that you can install from the [Tool Store](https://app.toolhouse.ai/store).\n\n## Installation\n\nWith `pip`:\n\n```pip install toolhouse```\n\nWith `poetry`:\n\n```poetry add toolhouse```\n\n### Getting started\n\nIn order to use the SDK, you will need a Toolhouse API key. To get the API key:\n\n1. [Sign up for Toolhouse](https://app.toolhouse.ai/auth/sign-up) or [log in](https://app.toolhouse.ai/auth/login) if you are an existing Toolhouse user.\n1. Go to your user \u27a1\ufe0f API Keys ([direct link](https://app.toolhouse.ai/settings/api-keys))\n1. Give your API key a name and click Generate.\n\nCopy the API Key and save it where you save your secrets. We'll assume you have a .env file.\n\nWe suggest saving your API Key as `TOOLHOUSE_API_KEY` in your environment file. This allows Toolhouse to pick up its value directly in your code.\n\n```bash\nTOOLHOUSE_API_KEY=<Your API Key value>\n```\n\nAlternatively, you can set the API key when you initialize the SDK. You can do this in the constructor:\n\n```py\ntools = Toolhouse('YOUR_API_KEY')\n```\n\nYou can also use the `set_api_key` method:\n\n```py\ntools = Toolhouse()\ntools.set_api_key('YOUR_API_KEY')\n```\n\nOur [Quick start guide](https://docs.toolhouse.ai/toolhouse/quick-start) has all you need to get you set up quickly.\n\n### Providers\n\nToolhouse works with the widest possible range of LLMs across different providers. By default, the Toolhouse API will work with any LLM that is compatible with the OpenAI chat completions API.\n\nYou can switch providers when initializing the SDK through the constructor:\n\n```py\nfrom toolhouse import Toolhouse, Provider\ntools = Toolhouse(provider=provider.ANTHROPIC)\n```\n\nIf you are passing your API key:\n\n```py\nfrom toolhouse import Toolhouse, Provider\ntools = Toolhouse('YOUR_API_KEY', provider.ANTHROPIC)\n```\n\n## Sample usage\n\nIn this example, we'll use the OpenAI SDK as well as dotenv.\n\n```sh\npip install python-dotenv\n```\n\nCreate a `.env` and add your API keys there.\n\n```bash\nTOOLHOUSE_API_KEY=\nOPENAI_API_KEY=\n```\n\nHead over to Toolhouse and install the [Current time tool](https://app.toolhouse.ai/store/current_time).\n\n```py\nimport os\nfrom dotenv import load_dotenv\nfrom toolhouse import Toolhouse\nfrom openai import OpenAI\nfrom typing import List\n\nload_dotenv()\n\nTH_API_KEY = os.getenv(\"TOOLHOUSE_API_KEY\")\nOAI_KEY = os.getenv(\"OPENAI_API_KEY\")\n\nclient = OpenAI(api_key=OAI_KEY)\nth = Toolhouse(api_key=TH_API_KEY, provider=\"openai\")\n\n#Metadata to convert UTC time to your localtime\nth.set_metadata(\"timezone\", -7)\n\nmessages: List = [{\n \"role\": \"user\",\n \"content\": \"What's the current time?\"\n}]\n\nresponse = client.chat.completions.create(\n model='gpt-4o',\n messages=messages,\n tools=th.get_tools(),\n tool_choice=\"auto\"\n)\n\nmessages += th.run_tools(response)\n\nresponse = client.chat.completions.create(\n model=\"gpt-4o-mini\",\n messages=messages,\n tools=th.get_tools(),\n tool_choice=\"auto\"\n )\nprint(response.choices[0].message.content)\n```\n\n## Use Local Tools\n\nTo utilize a local tool, you need to define the tool, its JSON schema, and register it with the Toolhouse SDK. Here's a step-by-step guide:\n\n1. Create the local tool function.\n2. Define the JSON schema for the local tool function.\n3. Register the local tool with the Toolhouse SDK.\n4. Add the local tool to the messages.\n5. Utilize the local tool within the Toolhouse SDK.\n\nHere is a sample code:\n\n```py\n\"\"\"OpenAI Sample\"\"\"\nimport os\nfrom typing import List\nfrom dotenv import load_dotenv\nfrom openai import OpenAI\nfrom toolhouse import Toolhouse\n\n# Make sure to set up the .env file according to the .env.example file.\nload_dotenv()\n\nTH_API_KEY = os.getenv(\"TOOLHOUSE_API_KEY\")\nOAI_KEY = os.getenv(\"OPENAI_API_KEY\")\n\nlocal_tools = [\n {'type': 'function',\n 'function':\n {\n 'name': 'hello',\n 'description': 'The user receives a customized hello message from a city and returns it to the user.', \n 'parameters': {\n 'type': 'object',\n 'properties': {\n 'city': {'type': 'string', 'description': 'The city where you are from'}\n }},\n 'required': ['city']\n }}]\n\nth = Toolhouse(api_key=TH_API_KEY, provider=\"openai\")\nth.set_metadata(\"id\", \"fabio\")\nth.set_metadata(\"timezone\", 5)\n\n\n@th.register_local_tool(\"hello\") # the name used to register the tool should be the same as the name in the json schema\ndef hello_tool(city: str):\n \"\"\"Return a Hello message from a specific city.\"\"\"\n return f\"Hello from {city}!!!\"\n\n\nclient = OpenAI(api_key=OAI_KEY)\n\nmessages: List = [{\n \"role\": \"user\",\n \"content\":\n \"Can I get a hello from Rome?\"\n }]\n\nresponse = client.chat.completions.create(\n model='gpt-4o',\n messages=messages,\n tools=th.get_tools() + local_tools\n)\n\nmessages += th.run_tools(response)\n\nresponse = client.chat.completions.create(\n model=\"gpt-4o\",\n messages=messages,\n tools=th.get_tools() + local_tools\n )\n\nprint(response.choices[0].message.content)\n```\n\n## Use Bundles\n\nBundles help you define groups of tools you want to pass to the LLM based on specific contextual need.\n\nFor example, if you want to enhance your LLM's knowledge with live stock market data, you can create a Bundle with a stock price API call, a RAG for stock news, and summarization of SEC filings.\nIn order to create a bundle, you need to:\n\n1. Go to the [Tool Store - Bundles](https://app.toolhouse.ai/bundles) and create a new bundle. eg: \"stock_bundle\"\n2. Add tools to the bundle.\n3. Use the bundle in the Toolhouse SDK.\n\nHere is a sample code:\n\n```py\nimport os\nfrom typing import List\nfrom dotenv import load_dotenv\nfrom openai import OpenAI\nfrom toolhouse import Toolhouse\n\n# Make sure to set up the .env file according to the .env.example file.\nload_dotenv()\n\nth = Toolhouse(api_key=TH_API_KEY, provider=\"openai\")\nth.set_metadata(\"id\", \"fabio\") # metadata is optional based on the tools you are using\nth.set_metadata(\"timezone\", 5) # metadata is optional based on the tools you are using\n\nclient = OpenAI(api_key=OAI_KEY)\n\nmessages: List = [{\n \"role\": \"user\",\n \"content\": \"What is the stock price of Apple?\"\n }]\n\nresponse = client.chat.completions.create(\n model='gpt-4o',\n messages=messages,\n tools=th.get_tools(bundle=\"stock_bundle\")\n)\n```\n\n## Contributing\n\nWe welcome pull requests that add meaningful additions to these code samples, particularly for issues that can expand compability.\n\nYou can submit issues (for example for feature requests or improvements) by using the Issues tab.\n\n## Publishing tools\n\nDevelopers can also contribute to Toolhouse by publishing tools for the [Tool Store](https://app.toolhouse.ai/store). The Tool Store allows developers to submit their tools and monetize them every time they're executed. Developers and tools must go through an review and approval process, which includes adhering to the Toolhouse Privacy and Data Protection policy. If you're interested in becoming a publisher, [submit your application](https://tally.so/r/wzeO68).\n\n## License\n\nThis SDK is licensed under the Apache-2.0 License. See the [LICENSE](LICENSE) file for more details.\n",
"bugtrack_url": null,
"license": " Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. \"License\" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. \"Licensor\" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. \"Legal Entity\" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, \"control\" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. \"You\" (or \"Your\") shall mean an individual or Legal Entity exercising permissions granted by this License. \"Source\" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. \"Object\" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. \"Work\" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). \"Derivative Works\" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. \"Contribution\" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. 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