Openai agents langchain By seamlessly integrating critical components such as memory Jun 26, 2024 · In this post, we’ve created a responsive AI agent using Langchain and OpenAI. Parameters Nov 6, 2024 · import os import asyncio from typing import Any from langchain_openai import AzureChatOpenAI from langchain. openai_tools. AWS Lambda. pip install openai google-search-results Mar 24, 2025 · Q2. 5-turbo-instruct, you are probably looking for this page instead. Apr 24, 2024 · This section will cover building with the legacy LangChain AgentExecutor. js, powered by GPT-4o from Azure OpenAI. Concepts There are several key concepts to understand when building agents: Agents, AgentExecutor, Tools, Toolkits. agents. Setup Install the OpenAI integration package, retrieve your key, and store it as an environment variable named OPENAI_API_KEY : Sep 10, 2023 · はじめにlangchainのAgentは言語モデルに使用する関数（tool)を決定させるためのクラスです。Agentはtoolを決定するだけで実行はしません。タスクを完了するためにはtoolを実行… Agents let us do just this. openai-functions-agent. The Agents SDK allows developers to easily leverage OpenAI’s recent advancements — such as improved reasoning, multimodal interactions, and new safety techniques — in real-world, multi-step scenarios. Jan 18, 2024 · I hope you guys found this helpful and let me know if you have any questions! Originally published at https://dev. You will be able to ask this agent questions, watch it call the search tool, and have conversations with it. Whereas in the latter it is common to generate text that can be searched against a vector database, the approach for structured data is often for the LLM to write and execute queries in a DSL, such as SQL. prompts import ChatPromptTemplate Mar 21, 2025 · Deep Dive into OpenAI Agents SDK. LangChain is one of the most widely adopted AI agent frameworks today. OPENAI_MULTI_FUNCTIONS = 'openai-multi-functions' ¶ Examples using AgentType¶ AINetwork. This notebook goes through how to create your own custom agent. One of its most intriguing aspects is the agent architecture, which enables programmers to design intelligent systems that can reason, make decisions, and take independent action. I want to be able to really understand how I can create an agent without using Langchain. We will first create it WITHOUT memory, but we will then show how to add memory in. tools import WikipediaQueryRun from langchain_community. Feb 22, 2025 · In this guide, we will build an AI-powered autonomous agent using LangChain and OpenAI APIs. Feb 19, 2025 · In this tutorial we will build an agent that can interact with a search engine. log (result); /* {input: 'what is LangChain?', output: 'LangChain is a platform that offers a complete set of powerful building blocks for building context-aware, reasoning applications with flexible abstractions and an AI-first toolkit. Notice that beside the list of tools, the only thing we need to pass in is a language model to use. It uses LangChain's ToolCall interface to support a wider range of provider implementations, such as Anthropic, Google Gemini, and Mistral in addition to OpenAI. 0 ¶ Frequency with which to check run progress in ms. Memory is needed to enable conversation. This code defines an AI agent using LangGraph and LangChain. Load the LLM May 16, 2024 · Let’s explore the distinct scenarios for utilizing LangChain agents versus OpenAI function calls. llm (BaseLanguageModel) – LLM Agent Constructor Here, we will use the high level create_openai_tools_agent API to construct the agent. Environment Setup The following environment variables need to be set: Set the OPENAI_API_KEY environment variable to access the OpenAI models. param check_every_ms: float = 1000. invoke ({input: "what is LangChain?",}); console. param async_client: Any = None ¶ OpenAI or AzureOpenAI async client. It initializes a ToolNode to manage tools like priceConv and binds them to the agent model. create_openai_tools_agent¶ langchain. create_openai_tools_agent (llm: BaseLanguageModel, tools: Sequence [BaseTool], prompt: ChatPromptTemplate, strict: Optional [bool] = None) → Runnable [source] ¶ Create an agent that uses OpenAI tools. param client: Any [Optional Aug 28, 2024 · $ pip install langchain langchain_openai langchain_community langgraph ipykernel python-dotenv. How do OpenAI’s Agent SDK, LangChain, and CrewAI differ in their approach to building AI agents? A. Airbyte Question Answering Most of the integrations you need can be found in the langchain-community package, and if you are just using the core expression language API's, you can even build solely based on langchain-core. Under the hood, this agent is using the OpenAI tool-calling capabilities, so we need to use a ChatOpenAI model. If your code is already relying on RunnableWithMessageHistory or BaseChatMessageHistory , you do not need to make any changes. create_openai_tools_agent (llm: BaseLanguageModel, tools: Sequence [BaseTool], prompt: ChatPromptTemplate) → Runnable [source] # Create an agent that uses OpenAI tools. Apr 4, 2025 · LangChain has become a potent toolset for creating complex AI applications in the rapidly developing field of artificial intelligence. In this notebook we will show how those parameters map to the LangGraph react agent executor using the create_react_agent prebuilt helper method. Mar 16, 2025 · The OpenAI Agents SDK enables developers to build agentic applications powered by OpenAI models. I’m Tool calling . base_v2. Bases: MultiActionAgentOutputParser Parses a message into agent actions/finish. base. When using exclusively OpenAI tools, you can just invoke the assistant directly and get final answers. LangChain agents (the AgentExecutor in particular) have multiple configuration parameters. I believe Mar 20, 2024 · react_agentには会話履歴を与えることもできないので、会話もできません。 会話を成り立たせるには、次に示すopenai-tools-agentを使ってエージェントを構築する必要があります。 create_openai_tools_agent This is a more generalized version of the OpenAI tools agent, which was designed for OpenAI's specific style of tool calling. As we can see, the agent will first choose which tables are relevant and then add the schema for those tables and a few sample rows to the prompt. May 22, 2024 · langchain. client = Client (api_key = LANGSMITH_API_KEY) Apr 11, 2024 · Then click Create API Key. It is easy to write custom tools, and you can easily pass these to the model. For working with more advanced agents, we'd recommend checking out LangGraph Agents or the migration guide Dec 9, 2024 · param as_agent: bool = False ¶ Use as a LangChain agent, compatible with the AgentExecutor. Is meant to be used with OpenAI models, as it relies on the specific tool_calls parameter from OpenAI to convey what tools to use. You are currently on a page documenting the use of Azure OpenAI text completion models. g. You can achieve similar control over the agent in a few ways: Pass in a system message as input; Initialize the agent with a system message The OpenAI Agents SDK allows you to build agentic applications powered by OpenAI's models. create_openai_functions_agent (llm: BaseLanguageModel, tools: Sequence [BaseTool], prompt: ChatPromptTemplate) → Runnable [source] ¶ Create an agent that uses OpenAI function calling. Dec 29, 2024 · LangChain simplifies the implementation of multi-agent systems by providing a flexible framework for building and managing autonomous agents. # Create a LANGSMITH_API_KEY in Settings > API Keys. OpenAIAssistantV2Runnable [source] ¶ Bases: OpenAIAssistantRunnable [Beta] Run an OpenAI Assistant. Conclusion. output_parsers. Dec 9, 2024 · langchain. With legacy LangChain agents you have to pass in a prompt template. It is equipped with a generic search tool. This example creates an agent that can optionally look up information on the internet using Tavily's search engine. We use a top-level “orchestrator” agent to invoke the planner and controller, rather than a top-level planner that invokes a controller with its plan. openai_functions. Inject credentials via requests_wrapper. Parameters. create_openai_functions_agent¶ langchain. Environment Setup The following environment variables need to be set: 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). With our new LangSmith integration , you can seamlessly trace your agent’s execution, gaining deep visibility into its decision-making process. We'll use the tool calling agent, which is generally the most reliable kind and the recommended one for most use cases. The code snippet below represents a fully functional agent that uses an LLM to decide which tools to use. Specifically, we enable this model to call tools by providing it a list of LangChain tools. For an easy way to construct this prompt, use OpenAIFunctionsAgent. Aim. This agent is capable of invoking tools that have multiple inputs. , OpenAI, Anthropic, Cohere) LangChain and related dependencies; Install LangChain and OpenAI’s SDK via pip: Apr 21, 2025 · LangChain and OpenAI agents are leading the charge. agents import AgentExecutor, create_openai_functions_agent from langchain_community. create_openai_functions_agent (llm: BaseLanguageModel, tools: Sequence [BaseTool], prompt: ChatPromptTemplate) → Runnable [source] # Create an agent that uses OpenAI function calling. To do so, we will use LangChain, a powerful lightweight SDK which makes it easier to Enabling a LLM system to query structured data can be qualitatively different from unstructured text data. The latest and most popular OpenAI models are chat completion models. env file to store secrets such as API keys: $ touch . tools (Sequence) – Tools this agent has Construct an OpenAI API planner and controller for a given spec. The Assistants API currently supports three types of tools: Code Interpreter, Retrieval, and Function calling Here we focus on how to move from legacy LangChain agents to more flexible LangGraph agents. to on January 18, 2024. An Assistant has instructions and can leverage models, tools, and knowledge to respond to user queries. • Handoffs: Allows delegating a specific task to another agent Custom agent. To improve your LLM application development, pair LangChain with: LangSmith - Helpful for agent evals and observability. Dec 9, 2024 · An zero-shot react agent optimized for chat models. What is LangChain? LangChain is an open-source framework that enables the development of Intermediate agent actions and tool output messages will be passed in here. Read about all the agent types here. Unless you are specifically using gpt-3. Mar 14, 2025 · Agent Model and the Call Process. OPENAI_FUNCTIONS = 'openai-functions' ¶ An agent optimized for using open AI functions. OpenAIFunctionsAgentOutputParser [source] ¶. LangChain comes with a number of built-in agents that are optimized for different use cases. OpenAI has a tool calling (we use "tool calling" and "function calling" interchangeably here) API that lets you describe tools and their arguments, and have the model return a JSON object with a tool to invoke and the inputs to that tool. Setup May 14, 2023 · In this article, we are going to see an implementation of an Agent powered by Azure OpenAI chat models. Jan 16, 2025 · The Langchain Agent UI, powered by the open source CoAgent framework, is reshaping how developers approach the creation of AI agents. OpenAI’s Agent SDK focuses on integrating AI capabilities with minimal setup, LangChain offers a modular approach for building customized workflows, and CrewAI emphasizes role-based collaboration among agents. create_openai_tools_agent# langchain. This article will walk you through designing and OpenAI API has deprecated functions in favor of tools. OpenAIAssistantV2Runnable¶ class langchain. tools import Tool from langchain_openai import Mar 12, 2025 · As 2025 is often touted as the “year of agents,” OpenAI’s move is seen as a pivotal step for the industry. openai_assistant. Skip to main content We are growing and hiring for multiple roles for LangChain, LangGraph and LangSmith. You can use this to control the agent. For this example, let’s try out the OpenAI tools agent, which makes use of the new OpenAI tool-calling API (this is only available in the latest OpenAI models, and differs from function-calling in that the model can return multiple function invocations at once). 这个 notebook 展示了使用一个代理来使用 OpenAI 函数的能力，以回应用户的提示，使用一个大型语言模型. OpenAIToolsAgentOutputParser [source] ¶. OpenAI’s Agents SDK is a lightweight yet powerful framework for building agentic AI applications. 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. You are currently on a page documenting the use of OpenAI text completion models. Adding the newly created Conda environment to Jupyter as a kernel: $ ipython kernel install --user --name=langchain. 3 hours ago · Before you dive into building agents, you’ll need to prepare your development environment. The difference between the two is that the tools API allows the model to request that multiple functions be invoked at once, which can reduce response times in some architectures. Aug 25, 2024 · In LangChain, an “Agent” is an AI entity that interacts with various “Tools” to perform tasks or answer queries. from langchain_core. 1 Coinciding with the momentous launch of OpenAI's May 30, 2023 · When I use the Langchain Agent it feels like a black box. 安装 openai，google-search-results 包，这些包是作为 langchain 包内部调用它们的. It allows developers to build intelligent applications by chaining components like memory, tools, and LLMs into cohesive workflows. The latest and most popular Azure OpenAI models are chat completion models. Debug poor-performing LLM app runs Mar 19, 2025 · Get an overview of the leading open-source AI agent frameworks—LangGraph, OpenAI Agents SDK, Smolagents, CrewAI, AutoGen, Semantic Kernel, and LlamaIndex agents. Currently, these agents lack memory functionality, and the latest version of LangChain doesn’t support memory through kwargs. Example using OpenAI tools: Dec 9, 2024 · class langchain. The StateGraph handles decision-making, determining whether the agent should call a tool or return a direct response. Dec 9, 2024 · prompt – The prompt for this agent, should support agent_scratchpad as one of the variables. openai_functions_agent. Agent Types There are many different types of agents to use. This template creates an agent that uses OpenAI function calling to communicate its decisions on what actions to take. Setup your environment Shellexport LANGCHAIN_TRACING_V2=trueexport LANGCHAIN_API_KEY=<your-api-key># The below examples use the OpenAI API, though it's not necessary in generalexport OPENAI_API_KEY=<your-openai-api-key>Log your first trace We provide multiple ways to log traces Sep 21, 2024 · I’m currently working with two LangChain agents (Pandas agents) to retrieve information from large tabular datasets. runnables. It simplifies the creation of multi-agent systems by providing primitives such as: • Agents: LLM’s equipped with Instructions & Tools. Agent We'll use an OpenAI chat model and an "openai-tools" agent, which will use OpenAI's function-calling API to drive the agent's tool selection and invocations. These are fine for getting started, but past a certain point, you will likely want flexibility and control that they do not offer. I originally had both datasets (Iris and Titanic) in a single agent, but separating them into two agents has improved my inference accuracy. utilities import WikipediaAPIWrapper from langchain_openai import ChatOpenAI api_wrapper = WikipediaAPIWrapper (top_k_results = 1, doc_content_chars_max = 100) As of the v0. history import RunnableWithMessageHistory from langchain_openai import OpenAI llm = OpenAI (temperature = 0) agent = create_react_agent (llm, tools, prompt) agent_executor = AgentExecutor (agent = agent, tools = tools) agent_with_chat_history = RunnableWithMessageHistory (agent_executor, This is an implementation of a ReAct-style agent that uses OpenAI's new Realtime API. 8 or higher) A supported LLM provider API key (e. Creating a . . param assistant_id: str [Required] ¶ OpenAI assistant id. Ensure you have the following installed: Python (version 3. Parameters: llm (BaseLanguageModel) – LLM to use as the agent. This is generally the most reliable way to create agents. Their framework enables you to build layered LLM-powered applications that are context-aware and able to interact dynamically with their environment as agents, leading to simplified code for you and a more dynamic user experience for your customers. OpenAI assistants currently have access to two tools hosted by OpenAI: code interpreter, and knowledge Dec 9, 2024 · class langchain. You will also need to copy the provided js The OpenAI Functions Agent is designed to work with these models. tool-calling is extremely useful for building tool-using chains and agents, and for getting structured outputs from models more generally. May 2, 2023 · LangChain is a framework for developing applications powered by language models. from langsmith import Client. I tried reading and understanding the “WebGPT: Browser-assisted question-answering with human feedback” paper but I get lost. We’ve set up the environment, pulled a React prompt, initialized the language model, and added the capability to 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. "Tool calling" in this case refers to a specific type of model API While the LangChain framework can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools when building LLM applications. Anyone know where I can find good documentation so I can really understand how to build agents from scratch. agents import tool from langchain_core. 3 release of LangChain, we recommend that LangChain users take advantage of LangGraph persistence to incorporate memory into new LangChain applications. create_openai_functions_agent# langchain. Should work with agent, tools,}); const result = await agentExecutor. Compare features, learn when to use each, and see how to track agent behavior with Langfuse from langchain import hub from langchain. When using custom tools, you can run the assistant and tool execution loop using the built-in AgentExecutor or write your own executor. Bases: AgentOutputParser Parses a message into agent action Read about all the available agent types here. In this example, we will use OpenAI Tool Calling to create this agent. With LangGraph react agent executor, by default there is no prompt. The goal of the OpenAI tools APIs is to more reliably return valid and The Assistants API allows you to build AI assistants within your own applications. env # Paste your OPENAI key OPENAI_API_KEY='YOUR_KEY_HERE' This covers basics like initializing an agent, creating tools, and adding memory. It's recommended to use the tools agent for OpenAI models. client = Client (api_key = LANGSMITH_API_KEY) OpenAI Functions Agent. env $ vim . create_prompt(…) output_parser – The output parser for this agent. For an in depth explanation, please check out this conceptual guide. We’ll examine the appropriate contexts and advantages of each approach. dbozqcsbnjdfcbhetbytlglnnlkbpgxtlxzeocembgmwhjvexudmbovvugyyahvtmqdjrempkafsjbk