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# Docs: compound ecosystem and integrations **Problem statement:** We have a big overlap between the References/Integrations and Ecosystem/LongChain Ecosystem pages. It confuses users. It creates a situation when new integration is added only on one of these pages, which creates even more confusion. - removed References/Integrations page (but move all its information into the individual integration pages - in the next PR). - renamed Ecosystem/LongChain Ecosystem into Integrations/Integrations. I like the Ecosystem term. It is more generic and semantically richer than the Integration term. But it mentally overloads users. The `integration` term is more concrete. UPDATE: after discussion, the Ecosystem is the term. Ecosystem/Integrations is the page (in place of Ecosystem/LongChain Ecosystem). As a result, a user gets a single place to start with the individual integration.
163 lines
6.9 KiB
Markdown
163 lines
6.9 KiB
Markdown
# Getting Started
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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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**wolfram-alpha**
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- Tool Name: Wolfram Alpha
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- Tool Description: A wolfram alpha search engine. Useful for when you need to answer questions about Math, Science, Technology, Culture, Society and Everyday Life. Input should be a search query.
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- Notes: Calls the Wolfram Alpha API and then parses results.
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- Requires LLM: No
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- Extra Parameters: `wolfram_alpha_appid`: The Wolfram Alpha app id.
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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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**google-search**
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- Tool Name: Search
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- Tool Description: A wrapper around Google Search. Useful for when you need to answer questions about current events. Input should be a search query.
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- Notes: Uses the Google Custom Search API
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- Requires LLM: No
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- Extra Parameters: `google_api_key`, `google_cse_id`
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- For more information on this, see [this page](../../../integrations/google_search.md)
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**searx-search**
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- Tool Name: Search
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- Tool Description: A wrapper around SearxNG meta search engine. Input should be a search query.
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- Notes: SearxNG is easy to deploy self-hosted. It is a good privacy friendly alternative to Google Search. Uses the SearxNG API.
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- Requires LLM: No
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- Extra Parameters: `searx_host`
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**google-serper**
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- Tool Name: Search
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- Tool Description: A low-cost Google Search API. Useful for when you need to answer questions about current events. Input should be a search query.
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- Notes: Calls the [serper.dev](https://serper.dev) Google Search API and then parses results.
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- Requires LLM: No
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- Extra Parameters: `serper_api_key`
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- For more information on this, see [this page](../../../integrations/google_serper.md)
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**wikipedia**
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- Tool Name: Wikipedia
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- Tool Description: A wrapper around Wikipedia. Useful for when you need to answer general questions about people, places, companies, historical events, or other subjects. Input should be a search query.
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- Notes: Uses the [wikipedia](https://pypi.org/project/wikipedia/) Python package to call the MediaWiki API and then parses results.
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- Requires LLM: No
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- Extra Parameters: `top_k_results`
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**podcast-api**
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- Tool Name: Podcast API
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- Tool Description: Use the Listen Notes Podcast API to search all podcasts or episodes. 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 Listen Notes Podcast API (`https://www.PodcastAPI.com`), specifically the `/search/` endpoint.
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- Requires LLM: Yes
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- Extra Parameters: `listen_api_key` (your api key to access this endpoint)
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**openweathermap-api**
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- Tool Name: OpenWeatherMap
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- Tool Description: A wrapper around OpenWeatherMap API. Useful for fetching current weather information for a specified location. Input should be a location string (e.g. London,GB).
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- Notes: A connection to the OpenWeatherMap API (https://api.openweathermap.org), specifically the `/data/2.5/weather` endpoint.
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- Requires LLM: No
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- Extra Parameters: `openweathermap_api_key` (your API key to access this endpoint)
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