auto-browser LangChain Integration
LangChain, LangGraph and CrewAI adapters for Auto Browser. They call a running Auto Browser controller over its MCP tool endpoint.
pip install "auto-browser-langchain[langchain]" # LangChain / LangGraph
pip install "auto-browser-langchain[crewai]" # CrewAI
AutoBrowserTool is one LangChain tool that takes an MCP tool name and its
arguments, so the model can use every tool the controller serves:
from auto_browser_langchain import AutoBrowserTool
tool = AutoBrowserTool(base_url="http://localhost:8000", bearer_token=None)
print(tool.invoke({"action": "browser.observe", "arguments": {"preset": "text"}}))
AutoBrowserNode is a LangGraph node that opens a session and records the
current URL and screenshot in the graph state.
AutoBrowserNode needs only httpx. AutoBrowserTool needs langchain-core:
building it without the [langchain] extra raises an ImportError that says so.
When a tool call fails, the controller still answers HTTP 200 with isError: true.
AutoBrowserTool returns that text as ERROR: ... so the model can read it.
AutoBrowserNode raises AutoBrowserToolError instead, with the tool name, the error
text and the controller's structured payload (payload, code, retryable), so a
graph can tell a missing session from a bad selector:
from auto_browser_langchain import AutoBrowserNode, AutoBrowserToolError
try:
state = await AutoBrowserNode().run({"session_id": "s1"})
except AutoBrowserToolError as exc:
if exc.code == "unknown_session":
... # open a new session
Full walkthroughs: LangChain / LangGraph · CrewAI
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Metadata
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Release files for auto-browser-langchain 1.11.1
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