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Update using langchain tools docs (#1664)

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* Update example of how to use LangChain tools with correct syntax

* Use .env

* Add  Code back

---------

Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
This commit is contained in:
Ola Hungerford
2024-12-03 08:13:06 -08:00
committed by GitHub
parent 308a8dc925
commit 9e9b945a46
1 changed files with 33 additions and 20 deletions
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docs/concepts/langchain-tools.mdx
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@@ -7,32 +7,45 @@ icon: link
## Using LangChain Tools
<Info>
CrewAI seamlessly integrates with LangChain’s comprehensive [list of tools](https://python.langchain.com/docs/integrations/tools/), all of which can be used with CrewAI.
CrewAI seamlessly integrates with LangChain's comprehensive [list of tools](https://python.langchain.com/docs/integrations/tools/), all of which can be used with CrewAI.
</Info>
```python Code
import os
from crewai import Agent
from langchain.agents import Tool
from langchain.utilities import GoogleSerperAPIWrapper
from dotenv import load_dotenv
from crewai import Agent, Task, Crew
from crewai.tools import BaseTool
from pydantic import Field
from langchain_community.utilities import GoogleSerperAPIWrapper
# Setup API keys
os.environ["SERPER_API_KEY"] = "Your Key"
# Set up your SERPER_API_KEY key in an .env file, eg:
# SERPER_API_KEY=<your api key>
load_dotenv()
search = GoogleSerperAPIWrapper()
# Create and assign the search tool to an agent
serper_tool = Tool(
name="Intermediate Answer",
func=search.run,
description="Useful for search-based queries",
)
class SearchTool(BaseTool):
name: str = "Search"
description: str = "Useful for search-based queries. Use this to find current information about markets, companies, and trends."
search: GoogleSerperAPIWrapper = Field(default_factory=GoogleSerperAPIWrapper)
agent = Agent(
role='Research Analyst',
goal='Provide up-to-date market analysis',
backstory='An expert analyst with a keen eye for market trends.',
tools=[serper_tool]
def _run(self, query: str) -> str:
"""Execute the search query and return results"""
try:
return self.search.run(query)
except Exception as e:
return f"Error performing search: {str(e)}"
# Create Agents
researcher = Agent(
role='Research Analyst',
goal='Gather current market data and trends',
backstory="""You are an expert research analyst with years of experience in
gathering market intelligence. You're known for your ability to find
relevant and up-to-date market information and present it in a clear,
actionable format.""",
tools=[SearchTool()],
verbose=True
)
# rest of the code ...