| Name | pytool-directory JSON |
| Version |
0.0.2
JSON |
| download |
| home_page | None |
| Summary | Python package to create langchain tool from the Tool Directory For LangChain. |
| upload_time | 2024-05-09 02:37:44 |
| maintainer | None |
| docs_url | None |
| author | Sheile |
| requires_python | >=3.9 |
| license | MIT |
| keywords |
langchain
gpt
dialogplay
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
pytool-directory
=========================
[](https://github.com/dialogplay/pytool-directory/actions/workflows/unittest.yaml)
Python package to create the [LangChain](https://github.com/langchain-ai/langchain) tool from the [Tool Directory For LangChain](https://github.com/dialogplay/tool-directory/).
Can create LangChain tool from definition in the Tool Directory.
Installation
-------------------------
```bash
pip install pytool-directory
```
Usage
-------------------------
1. Search tools for your destination from [Tool Directory For LangChain](https://github.com/dialogplay/tool-directory).
2. Load tools from the name of integration.
```python
from tool_directory import ToolLoader
tools = ToolLoader('openweather').get_tools(parameters={'appid': 'YOUR_APP_ID_FOR_OPENWEATHER'})
```
3. Ask question to LLM with tools.
```python
llm = ChatOpenAI(temperature=0, model_name='gpt-4')
agent = initialize_agent(tools, llm, agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
answer = agent('Please tell me about the temperature in tokyo.')
```
Examples
-------------------------
### [langchain_with_tools.py](https://github.com/dialogplay/pytool-directory/blob/main/examples/langchain_with_tools.py)
Use a tool for the OpenWeather API to get the weather information on specified location.
This example execute following conversation via ChatGPT.
```text
User: Please tell me about the temperature in tokyo.
Bot: The current temperature in Tokyo is 29.54°C, but it feels like 32.72°C. The minimum and maximum temperatures today are 27.74°C and 30.45°C respectively. The humidity is 64%.
```
Contribution
-------------------------
1. Fork and clone repository.
2. Install development dependencies.
```bash
pip install '.[dev]'
```
3. Install pre-commit hook for linter and formatter.
```bash
pre-commit install
```
4. Commit your changes and send pull request.
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"description": "pytool-directory\n=========================\n[](https://github.com/dialogplay/pytool-directory/actions/workflows/unittest.yaml)\n\nPython package to create the [LangChain](https://github.com/langchain-ai/langchain) tool from the [Tool Directory For LangChain](https://github.com/dialogplay/tool-directory/).\n\nCan create LangChain tool from definition in the Tool Directory.\n\nInstallation\n-------------------------\n```bash\npip install pytool-directory\n```\n\nUsage\n-------------------------\n1. Search tools for your destination from [Tool Directory For LangChain](https://github.com/dialogplay/tool-directory).\n2. Load tools from the name of integration.\n```python\nfrom tool_directory import ToolLoader\ntools = ToolLoader('openweather').get_tools(parameters={'appid': 'YOUR_APP_ID_FOR_OPENWEATHER'})\n```\n3. Ask question to LLM with tools.\n```python\nllm = ChatOpenAI(temperature=0, model_name='gpt-4')\nagent = initialize_agent(tools, llm, agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION, verbose=True)\nanswer = agent('Please tell me about the temperature in tokyo.')\n```\n\nExamples\n-------------------------\n### [langchain_with_tools.py](https://github.com/dialogplay/pytool-directory/blob/main/examples/langchain_with_tools.py)\nUse a tool for the OpenWeather API to get the weather information on specified location.\n\nThis example execute following conversation via ChatGPT.\n\n```text\nUser: Please tell me about the temperature in tokyo.\nBot: The current temperature in Tokyo is 29.54\u00b0C, but it feels like 32.72\u00b0C. The minimum and maximum temperatures today are 27.74\u00b0C and 30.45\u00b0C respectively. The humidity is 64%.\n```\n\nContribution\n-------------------------\n1. Fork and clone repository.\n2. Install development dependencies.\n```bash\npip install '.[dev]'\n```\n\n3. Install pre-commit hook for linter and formatter.\n```bash\npre-commit install\n```\n\n4. Commit your changes and send pull request.\n",
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