Tools

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by strands-agents

A set of tools that gives agents powerful capabilities.

Install

$pip install strands-agents-tools

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Tools (38)

a2a_client

provider = A2AClientToolProvider(knownagenturls=["http://localhost:9000"]); agent = Agent(tools=provider.tools)

agent_core_memory

agent.tool.agentcorememory(action="record", content="Hello, I like vegetarian food")

agent_graph

agent.tool.agentgraph(agents=["agent1", "agent2"], connections=[{"from": "agent1", "to": "agent2"}])

bright_data

agent.tool.brightdata(action="scrapeasmarkdown", url="https://example.com")

browser

browser = LocalChromiumBrowser(); agent = Agent(tools=[browser.browser])

chat_video

agent.tool.chatvideo(prompt="What are the main topics?", videoid="video123")

code_interpreter

codeinterpreter = AgentCoreCodeInterpreter(region="us-west-2"); agent = Agent(tools=[codeinterpreter.codeinterpreter])

elasticsearch_memory

agent.tool.elasticsearchmemory(action="record", content="User prefers dark mode")

exa_get_contents

agent.tool.exagetcontents(urls=["https://example.com/article"], text=True, summary={"query": "key points"})

exa_search

agent.tool.exasearch(query="Best project management tools", text=True)

file_read

agent.tool.fileread(path="path/to/file.txt")

file_write

agent.tool.filewrite(path="path/to/file.txt", content="file content")

generate_image

agent.tool.generateimage(prompt="A sunset over mountains")

generate_image_stability

agent.tool.generateimagestability(prompt="A tranquil pool")

graph

agent.tool.graph(action="create", graphid="pipeline", topology={"nodes": [...], "edges": [...]})

handoff_to_user

agent.tool.handofftouser(message="Please confirm action", breakoutofloop=False)

http_request

agent.tool.httprequest(method="GET", url="https://api.example.com/data")

image_reader

agent.tool.imagereader(imagepath="path/to/image.jpg")

journal

agent.tool.journal(action="write", content="Today's progress notes")

load_tool

agent.tool.loadtool(path="path/to/customtool.py", name="customtool")

mcp_client

agent.tool.mcpclient(action="connect", connectionid="myserver", transport="stdio", command="python", args=["server.py"])

mem0_memory

agent.tool.mem0memory(action="store", content="Remember I like to play tennis")

mongodb_memory

agent.tool.mongodbmemory(action="record", content="User prefers vegetarian pizza")

nova_reels

agent.tool.novareels(action="create", text="A cinematic shot of mountains", s3bucket="my-bucket")

python_repl

agent.tool.pythonrepl(code="import pandas as pd\ndf = pd.readcsv('data.csv')\nprint(df.head())")

search_video

agent.tool.searchvideo(query="people discussing AI")

speak

agent.tool.speak(text="Operation completed successfully", style="green", mode="polly")

stop

agent.tool.stop(message="Process terminated by user request")

swarm

agent.tool.swarm(task="Analyze this problem", swarmsize=3, coordinationpattern="collaborative")

tavily_crawl

agent.tool.tavilycrawl(url="www.tavily.com", maxdepth=2, instructions="Find API docs")

tavily_extract

agent.tool.tavilyextract(urls=["www.tavily.com"], extractdepth="advanced")

tavily_map

agent.tool.tavilymap(url="www.tavily.com", maxdepth=2, instructions="Find all pages")

tavily_search

agent.tool.tavilysearch(query="What is artificial intelligence?", searchdepth="advanced")

use_agent

agent.tool.useagent(prompt="Analyze this code", systemprompt="You are a code analyst.", modelprovider="bedrock")

use_aws

agent.tool.useaws(servicename="s3", operationname="listbuckets", parameters={}, region="us-west-2")

use_computer

agent.tool.usecomputer(action="click", x=100, y=200, appname="Chrome")

use_llm

agent.tool.usellm(prompt="Analyze this data", systemprompt="You are a data analyst")

workflow

agent.tool.workflow(action="create", name="datapipeline", steps=[{"tool": "fileread"}, {"tool": "pythonrepl"}])