is up for sale"}, {"innerText": "Are these the most sustainable architectural projects in the world?"}, {"innerText": "Step inside a $72 million London townhouse in a converted army barracks"}, {"innerText": "A 3D-printing company is preparing to build on the lunar surface. But first, a moonshot at home"}, {"innerText": "Simona Halep says \\u2018the stress is huge\\u2019 as she battles to return to tennis following positive drug test"}, {"innerText": "Barcelona reaches third straight Women\\u2019s Champions League final with draw against Chelsea"}, {"innerText": "Wrexham: An intoxicating tale of Hollywood glamor and sporting romance"}, {"innerText": "Shohei Ohtani comes within inches of making yet more MLB history in Angels win"}, {"innerText": "This CNN Hero is recruiting recreational divers to help rebuild reefs in Florida one coral at a time"}, {"innerText": "This CNN Hero offers judgment-free veterinary care for the pets of those experiencing homelessness"}, {"innerText": "Don\\u2019t give up on milestones: A CNN Hero\\u2019s message for Autism Awareness Month"}, {"innerText": "CNN Hero of the Year Nelly Cheboi returned to Kenya with plans to lift more students out of poverty"}]'# If the agent wants to remember the current webpage, it can use the `current_webpage` toolawait tools_by_name["current_webpage"].arun({})    'https://web.archive.org/web/20230428133211/https://cnn.com/world'Use within an Agent‚ÄãSeveral of the browser tools are StructuredTool's, meaning they expect multiple arguments. These aren't compatible (out of the box) with agents older than the STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTIONfrom langchain.agents import initialize_agent, AgentTypefrom langchain.chat_models import ChatAnthropicllm = ChatAnthropic(temperature=0)  # or any other LLM, e.g., ChatOpenAI(), OpenAI()agent_chain = initialize_agent(    tools,    llm,    agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,    verbose=True,)result = await agent_chain.arun("What are the
This toolkit is used to interact with the browser. While other tools (like the Requests tools) are fine for static sites, PlayWright Browser toolkits let your agent navigate the web and interact with dynamically rendered sites.
This toolkit is used to interact with the browser. While other tools (like the Requests tools) are fine for static sites, PlayWright Browser toolkits let your agent navigate the web and interact with dynamically rendered sites. ->: is up for sale"}, {"innerText": "Are these the most sustainable architectural projects in the world?"}, {"innerText": "Step inside a $72 million London townhouse in a converted army barracks"}, {"innerText": "A 3D-printing company is preparing to build on the lunar surface. But first, a moonshot at home"}, {"innerText": "Simona Halep says \\u2018the stress is huge\\u2019 as she battles to return to tennis following positive drug test"}, {"innerText": "Barcelona reaches third straight Women\\u2019s Champions League final with draw against Chelsea"}, {"innerText": "Wrexham: An intoxicating tale of Hollywood glamor and sporting romance"}, {"innerText": "Shohei Ohtani comes within inches of making yet more MLB history in Angels win"}, {"innerText": "This CNN Hero is recruiting recreational divers to help rebuild reefs in Florida one coral at a time"}, {"innerText": "This CNN Hero offers judgment-free veterinary care for the pets of those experiencing homelessness"}, {"innerText": "Don\\u2019t give up on milestones: A CNN Hero\\u2019s message for Autism Awareness Month"}, {"innerText": "CNN Hero of the Year Nelly Cheboi returned to Kenya with plans to lift more students out of poverty"}]'# If the agent wants to remember the current webpage, it can use the `current_webpage` toolawait tools_by_name["current_webpage"].arun({})    'https://web.archive.org/web/20230428133211/https://cnn.com/world'Use within an Agent‚ÄãSeveral of the browser tools are StructuredTool's, meaning they expect multiple arguments. These aren't compatible (out of the box) with agents older than the STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTIONfrom langchain.agents import initialize_agent, AgentTypefrom langchain.chat_models import ChatAnthropicllm = ChatAnthropic(temperature=0)  # or any other LLM, e.g., ChatOpenAI(), OpenAI()agent_chain = initialize_agent(    tools,    llm,    agent=AgentType.STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION,    verbose=True,)result = await agent_chain.arun("What are the