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985496f4be
Big docs refactor! Motivation is to make it easier for people to find resources they are looking for. To accomplish this, there are now three main sections: - Getting Started: steps for getting started, walking through most core functionality - Modules: these are different modules of functionality that langchain provides. Each part here has a "getting started", "how to", "key concepts" and "reference" section (except in a few select cases where it didnt easily fit). - Use Cases: this is to separate use cases (like summarization, question answering, evaluation, etc) from the modules, and provide a different entry point to the code base. There is also a full reference section, as well as extra resources (glossary, gallery, etc) Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
95 lines
4.1 KiB
Markdown
95 lines
4.1 KiB
Markdown
# Tools
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Tools are functions that agents can use to interact with the world.
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These tools can be generic utilities (e.g. search), other chains, or even other agents.
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Currently, tools can be loaded with the following snippet:
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```python
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from langchain.agents import load_tools
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tool_names = [...]
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tools = load_tools(tool_names)
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```
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Some tools (e.g. chains, agents) may require a base LLM to use to initialize them.
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In that case, you can pass in an LLM as well:
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```python
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from langchain.agents import load_tools
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tool_names = [...]
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llm = ...
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tools = load_tools(tool_names, llm=llm)
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```
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Below is a list of all supported tools and relevant information:
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- Tool Name: The name the LLM refers to the tool by.
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- Tool Description: The description of the tool that is passed to the LLM.
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- Notes: Notes about the tool that are NOT passed to the LLM.
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- Requires LLM: Whether this tool requires an LLM to be initialized.
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- (Optional) Extra Parameters: What extra parameters are required to initialize this tool.
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## List of Tools
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**python_repl**
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- Tool Name: Python REPL
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- Tool Description: A Python shell. Use this to execute python commands. Input should be a valid python command. If you expect output it should be printed out.
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- Notes: Maintains state.
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- Requires LLM: No
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**serpapi**
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- Tool Name: Search
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- Tool Description: A search engine. Useful for when you need to answer questions about current events. Input should be a search query.
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- Notes: Calls the Serp API and then parses results.
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- Requires LLM: No
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**requests**
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- Tool Name: Requests
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- Tool Description: A portal to the internet. Use this when you need to get specific content from a site. Input should be a specific url, and the output will be all the text on that page.
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- Notes: Uses the Python requests module.
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- Requires LLM: No
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**terminal**
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- Tool Name: Terminal
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- Tool Description: Executes commands in a terminal. Input should be valid commands, and the output will be any output from running that command.
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- Notes: Executes commands with subprocess.
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- Requires LLM: No
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**pal-math**
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- Tool Name: PAL-MATH
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- Tool Description: A language model that is excellent at solving complex word math problems. Input should be a fully worded hard word math problem.
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- Notes: Based on [this paper](https://arxiv.org/pdf/2211.10435.pdf).
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- Requires LLM: Yes
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**pal-colored-objects**
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- Tool Name: PAL-COLOR-OBJ
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- Tool Description: A language model that is wonderful at reasoning about position and the color attributes of objects. Input should be a fully worded hard reasoning problem. Make sure to include all information about the objects AND the final question you want to answer.
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- Notes: Based on [this paper](https://arxiv.org/pdf/2211.10435.pdf).
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- Requires LLM: Yes
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**llm-math**
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- Tool Name: Calculator
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- Tool Description: Useful for when you need to answer questions about math.
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- Notes: An instance of the `LLMMath` chain.
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- Requires LLM: Yes
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**open-meteo-api**
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- Tool Name: Open Meteo API
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- Tool Description: Useful for when you want to get weather information from the OpenMeteo API. The input should be a question in natural language that this API can answer.
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- Notes: A natural language connection to the Open Meteo API (`https://api.open-meteo.com/`), specifically the `/v1/forecast` endpoint.
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- Requires LLM: Yes
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**news-api**
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- Tool Name: News API
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- Tool Description: Use this when you want to get information about the top headlines of current news stories. The input should be a question in natural language that this API can answer.
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- Notes: A natural language connection to the News API (`https://newsapi.org`), specifically the `/v2/top-headlines` endpoint.
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- Requires LLM: Yes
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- Extra Parameters: `news_api_key` (your API key to access this endpoint)
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**tmdb-api**
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- Tool Name: TMDB API
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- Tool Description: Useful for when you want to get information from The Movie Database. The input should be a question in natural language that this API can answer.
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- Notes: A natural language connection to the TMDB API (`https://api.themoviedb.org/3`), specifically the `/search/movie` endpoint.
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- Requires LLM: Yes
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- Extra Parameters: `tmdb_bearer_token` (your Bearer Token to access this endpoint - note that this is different from the API key)
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