= ChatOpenAI(temperature=0)llm_with_stop = llm.bind(stop=["Observation"])from langchain.agents.output_parsers import JSONAgentOutputParserfrom langchain.agents.format_scratchpad import format_log_to_stragent = {    "input": lambda x: x["input"],    "agent_scratchpad": lambda x: format_log_to_str(x['intermediate_steps']),} | prompt | llm_with_stop | JSONAgentOutputParser()from langchain.agents import AgentExecutoragent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)response = await agent_executor.ainvoke({"input": "Browse to blog.langchain.dev and summarize the text, please."})print(response['output'])            > Entering new AgentExecutor chain...    Action:    ```    {      "action": "navigate_browser",      "action_input": {        "url": "https://blog.langchain.dev"      }    }    ```    Navigating to https://blog.langchain.dev returned status code 200Action:    ```    {      "action": "extract_text",      "action_input": {}    }    ```        LangChain LangChain Home GitHub Docs By LangChain Release Notes Write with Us Sign in Subscribe The official LangChain blog. Subscribe now Login Featured Posts Announcing LangChain Hub Using LangSmith to Support Fine-tuning Announcing LangSmith, a unified platform for debugging, testing, evaluating, and monitoring your LLM applications Sep 20 Peering Into the Soul of AI Decision-Making with LangSmith 10 min read Sep 20 LangChain + Docugami Webinar: Lessons from Deploying LLMs with LangSmith 3 min read Sep 18 TED AI Hackathon Kickoff (and projects we‚Äôd love to see) 2 min read Sep 12 How to Safely Query Enterprise Data with LangChain Agents + SQL + OpenAI + Gretel 6 min read Sep 12 OpaquePrompts x LangChain: Enhance the privacy of your LangChain application with just one code change 4 min read Load more LangChain ¬© 2023 Sign up Powered by GhostAction:    ```    {      "action": "Final Answer",      "action_input": "The LangChain blog features posts on topics such as using LangSmith for fine-tuning, AI
The structured tool chat agent is capable of using multi-input tools.
The structured tool chat agent is capable of using multi-input tools. ->: = ChatOpenAI(temperature=0)llm_with_stop = llm.bind(stop=["Observation"])from langchain.agents.output_parsers import JSONAgentOutputParserfrom langchain.agents.format_scratchpad import format_log_to_stragent = {    "input": lambda x: x["input"],    "agent_scratchpad": lambda x: format_log_to_str(x['intermediate_steps']),} | prompt | llm_with_stop | JSONAgentOutputParser()from langchain.agents import AgentExecutoragent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)response = await agent_executor.ainvoke({"input": "Browse to blog.langchain.dev and summarize the text, please."})print(response['output'])            > Entering new AgentExecutor chain...    Action:    ```    {      "action": "navigate_browser",      "action_input": {        "url": "https://blog.langchain.dev"      }    }    ```    Navigating to https://blog.langchain.dev returned status code 200Action:    ```    {      "action": "extract_text",      "action_input": {}    }    ```        LangChain LangChain Home GitHub Docs By LangChain Release Notes Write with Us Sign in Subscribe The official LangChain blog. Subscribe now Login Featured Posts Announcing LangChain Hub Using LangSmith to Support Fine-tuning Announcing LangSmith, a unified platform for debugging, testing, evaluating, and monitoring your LLM applications Sep 20 Peering Into the Soul of AI Decision-Making with LangSmith 10 min read Sep 20 LangChain + Docugami Webinar: Lessons from Deploying LLMs with LangSmith 3 min read Sep 18 TED AI Hackathon Kickoff (and projects we‚Äôd love to see) 2 min read Sep 12 How to Safely Query Enterprise Data with LangChain Agents + SQL + OpenAI + Gretel 6 min read Sep 12 OpaquePrompts x LangChain: Enhance the privacy of your LangChain application with just one code change 4 min read Load more LangChain ¬© 2023 Sign up Powered by GhostAction:    ```    {      "action": "Final Answer",      "action_input": "The LangChain blog features posts on topics such as using LangSmith for fine-tuning, AI