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Updated Agent Tools (markdown)
@@ -9,26 +9,72 @@ These tools can be as straightforward as a search function or as sophisticated a
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- **Integration**: Tools can be integrated into agents to extend their capabilities beyond their basic functions.
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- **Customizability**: Developers can create custom tools tailored to the specific needs of their agents or use pre-built LangChain ones available in the ecosystem.
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## Implementing Tools
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Implementing a tool involves integrating it with an agent so it can be used to carry out tasks. For example, you might integrate SerpAPI as a tool for an agent that needs to perform web searches.
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# Creating and Assigning Tools
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To assign a tool to an agent, you'd provide it as part of the agent's properties during initialization. Below is a conceptual example:
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## Creating your own Tools
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You can easily create your own tool using [LangChain Tool Custom Tool Creation](https://python.langchain.com/docs/modules/agents/tools/custom_tools).
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Example:
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```python
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import json
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import requests
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from langchain.tools import tool
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from unstructured.partition.html import partition_html
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class BrowserTools():
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@tool("Scrape website content")
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def scrape_website(website):
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"""Useful to scrape a website content"""
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url = f"https://chrome.browserless.io/content?token={config('BROWSERLESS_API_KEY')}"
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payload = json.dumps({"url": website})
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headers = {
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'cache-control': 'no-cache',
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'content-type': 'application/json'
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}
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response = requests.request("POST", url, headers=headers, data=payload)
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elements = partition_html(text=response.text)
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content = "\n\n".join([str(el) for el in elements])
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# Return only the first 5k characters
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return content[:5000]
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# Create an agent and assign the search tool
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agent = Agent(
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role='Research Analyst',
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goal='Provide up-to-date market analysis',
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backstory='An expert analyst with a keen eye for market trends.',
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tools=[BrowserTools().scrape_website]
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)
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```
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## Using Existing Tools
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Check [LangChain Integration](https://python.langchain.com/docs/integrations/tools/) for a set of useful existing tools.
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To assign a tool to an agent, you'd provide it as part of the agent's properties during initialization.
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```python
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from crewai import Agent
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from langchain.tools import SerpAPI
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from langchain.agents import Tool
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from langchain.utilities import GoogleSerperAPIWrapper
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# Instantiate the SerpAPI tool
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serp_api_tool = SerpAPI(...)
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# Initialize SerpAPI tool with your API key
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os.environ["OPENAI_API_KEY"] = ""
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# Create an agent and assign the SerpAPI tool
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# Create tool to be used by agent
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serper_tool = Tool(
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name="Intermediate Answer",
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func=search.run,
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description="useful for when you need to ask with search",
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)
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# Create an agent and assign the search tool
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agent = Agent(
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role='Researcher',
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goal='Gather market data',
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tools=[serp_api_tool]
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role='Research Analyst',
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goal='Provide up-to-date market analysis',
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backstory='An expert analyst with a keen eye for market trends.',
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tools=[serper_tool]
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)
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```
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