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Docs[patch]: Update OpenAI tools agent description (#15896)

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Update OpenAI tools agent description.
pull/15908/head
Eugene Yurtsev 9 months ago committed by GitHub
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docs/docs/modules/agents/agent_types/openai_tools.ipynb
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@ -17,9 +17,26 @@
"source": [
"# OpenAI tools\n",
"\n",
"Certain OpenAI models have been finetuned to work with with **tool calling**. This is very similar but different from **function calling**, and thus requires a separate agent type.\n",
"Newer OpenAI models have been fine-tuned to detect when **one or more** function(s) should be called and respond with the inputs that should be passed to the function(s). In an API call, you can describe functions and have the model intelligently choose to output a JSON object containing arguments to call these functions. The goal of the OpenAI tools APIs is to more reliably return valid and useful function calls than what can be done using a generic text completion or chat API.\n",
"\n",
"The key difference between tools and functions lies in their availability and application within the chat environment. **Tools** are specialized capabilities directly accessible in the chat interface, designed for interactive and immediate use, such as generating images or executing code. In contrast, **functions** are more about invoking specific computational tasks or algorithms, typically as part of a larger process or application. This distinction underscores the tailored nature of each tool and function, ensuring they are optimally suited for their respective roles within the chat environment."
"OpenAI termed the capability to invoke a **single** function as **functions**, and the capability to invoke **one or more** funcitons as **tools**.\n",
"\n",
":::tip\n",
"\n",
"In the OpenAI Chat API, **functions** are now considered a legacy options that is deprecated in favor of **tools**.\n",
"\n",
"If you're creating agents using OpenAI models, you should be using this OpenAI Tools agent rather than the OpenAI functions agent.\n",
"\n",
"Using **tools** allows the model to request that more than one function will be called upon when appropriate. \n",
"\n",
"In some situations, this can help signficantly reduce the time that it takes an agent to achieve its goal.\n",
"\n",
"See \n",
" \n",
"* [OpenAI chat create](https://platform.openai.com/docs/api-reference/chat/create) \n",
"* [OpenAI function calling](https://platform.openai.com/docs/guides/function-calling)\n",
"\n",
":::"
]
},
{
@ -130,14 +147,14 @@
"text": [
"\n",
"\n",
"\u001B[1m> Entering new AgentExecutor chain...\u001B[0m\n",
"\u001B[32;1m\u001B[1;3m\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\u001b[32;1m\u001b[1;3m\n",
"Invoking: `tavily_search_results_json` with `{'query': 'LangChain'}`\n",
"\n",
"\n",
"\u001B[0m\u001B[36;1m\u001B[1;3m[{'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.'}]\u001B[0m\u001B[32;1m\u001B[1;3mLangChain is an open source orchestration framework for the development of applications using large language models. It is essentially a library of abstractions for Python and Javascript, representing common steps and concepts. LangChain simplifies the process of programming and integration with external data sources and software workflows. It supports various large language model providers, including OpenAI, Google, and IBM. You can find more information about LangChain on the IBM website: [LangChain - IBM](https://www.ibm.com/topics/langchain)\u001B[0m\n",
"\u001b[0m\u001b[36;1m\u001b[1;3m[{'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.'}]\u001b[0m\u001b[32;1m\u001b[1;3mLangChain is an open source orchestration framework for the development of applications using large language models. It is essentially a library of abstractions for Python and Javascript, representing common steps and concepts. LangChain simplifies the process of programming and integration with external data sources and software workflows. It supports various large language model providers, including OpenAI, Google, and IBM. You can find more information about LangChain on the IBM website: [LangChain - IBM](https://www.ibm.com/topics/langchain)\u001b[0m\n",
"\n",
"\u001B[1m> Finished chain.\u001B[0m\n"
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
@ -176,10 +193,10 @@
"text": [
"\n",
"\n",
"\u001B[1m> Entering new AgentExecutor chain...\u001B[0m\n",
"\u001B[32;1m\u001B[1;3mYour name is Bob.\u001B[0m\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\u001b[32;1m\u001b[1;3mYour name is Bob.\u001b[0m\n",
"\n",
"\u001B[1m> Finished chain.\u001B[0m\n"
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
@ -235,7 +252,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.1"
"version": "3.11.4"
}
},
"nbformat": 4,

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