Let’s load some tools to use.

```
> Entering new AgentExecutor chain... I should research LangChain to learn more about it.Action: tavily_search_results_jsonAction Input: "LangChain"[{'url': 'https://www.ibm.com/topics/langchain', 'content': 'LangChain is essentially a library of abstractions for Python and Javascript, representing common steps and concepts  LangChain is an open source orchestration framework for the development of applications using large language models  other LangChain features, like the eponymous chains.  LangChain provides integrations for over 25 different embedding methods, as well as for over 50 different vector storesLangChain is a tool for building applications using large language models (LLMs) like chatbots and virtual agents. It simplifies the process of programming and integration with external data sources and software workflows. It supports Python and Javascript languages and supports various LLM providers, including OpenAI, Google, and IBM.'}] I should read the summary and look at the different features and integrations of LangChain.Action: tavily_search_results_jsonAction Input: "LangChain features and integrations"[{'url': 'https://www.ibm.com/topics/langchain', 'content': "LangChain provides integrations for over 25 different embedding methods, as well as for over 50 different vector stores  LangChain is an open source orchestration framework for the development of applications using large language models  other LangChain features, like the eponymous chains.  LangChain is essentially a library of abstractions for Python and Javascript, representing common steps and conceptsLaunched by Harrison Chase in October 2022, LangChain enjoyed a meteoric rise to prominence: as of June 2023, it was the single fastest-growing open source project on Github. 1 Coinciding with the momentous launch of OpenAI's ChatGPT the following month, LangChain has played a significant role in making generative AI more accessible to enthusias..."}] I should take note of the launch date and popularity of LangChain.Action: tavily_search_results_jsonAction Input: "LangChain launch date and popularity"[{'url': 'https://www.ibm.com/topics/langchain', 'content': "LangChain is an open source orchestration framework for the development of applications using large language models  other LangChain features, like the eponymous chains.  LangChain provides integrations for over 25 different embedding methods, as well as for over 50 different vector stores  LangChain is essentially a library of abstractions for Python and Javascript, representing common steps and conceptsLaunched by Harrison Chase in October 2022, LangChain enjoyed a meteoric rise to prominence: as of June 2023, it was the single fastest-growing open source project on Github. 1 Coinciding with the momentous launch of OpenAI's ChatGPT the following month, LangChain has played a significant role in making generative AI more accessible to enthusias..."}] I now know the final answer.Final Answer: LangChain is an open source orchestration framework for building applications using large language models (LLMs) like chatbots and virtual agents. It was launched by Harrison Chase in October 2022 and has gained popularity as the fastest-growing open source project on Github in June 2023.> Finished chain.
```

```
{'input': 'what is LangChain?', 'output': 'LangChain is an open source orchestration framework for building applications using large language models (LLMs) like chatbots and virtual agents. It was launched by Harrison Chase in October 2022 and has gained popularity as the fastest-growing open source project on Github in June 2023.'}
```

```
from langchain_core.messages import AIMessage, HumanMessageagent_executor.invoke(    {        "input": "what's my name? Only use a tool if needed, otherwise respond with Final Answer",        # Notice that chat_history is a string, since this prompt is aimed at LLMs, not chat models        "chat_history": "Human: Hi! My name is Bob\nAI: Hello Bob! Nice to meet you",    })
```

```
> Entering new AgentExecutor chain...Thought: Do I need to use a tool? NoFinal Answer: Your name is Bob.> Finished chain.
```

```
{'input': "what's my name? Only use a tool if needed, otherwise respond with Final Answer", 'chat_history': 'Human: Hi! My name is Bob\nAI: Hello Bob! Nice to meet you', 'output': 'Your name is Bob.'}
```