Langchain openai agent vs openai Function: Creates drafts of research articles based on a topic and optional outline. OpenAI Chat large language models. You are currently on a page documenting the use of OpenAI text completion models. . OpenAI Swarm is engineered for large-scale, high-performance environments, where thousands of autonomous agents must operate in unison. Execution Speed: PydanticAI implementation seems (based on a single run at a single point in time, and my own implementation) to be the fastest followed by OpenAI agents sdk, llamaindex, AutoGen, LangGraph, Google ADK. Mar 24, 2025 · Q2. writeOnly = True. 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. These output parsers extract tool calls from OpenAI's function calling API responses. OpenAI conducts AI research with the declared intention of promoting and developing a friendly AI. To access AzureOpenAI models you'll need to create an Azure account, create a deployment of an Azure OpenAI model, get the name and endpoint for your deployment, get an Azure OpenAI API key, and install the langchain-openai integration package. Read about all the agent types here. Anyone know where I can find good documentation so I can really understand how to build agents from scratch. 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. We recommend familiarizing yourself with function calling before reading this guide. This example creates an agent that can optionally look up information on the internet using Tavily's search engine. I thought to check if anyone here is using Langchain. from langchain_openai import ChatOpenAI Tool calling . The Azure OpenAI API is compatible with OpenAI's API. In this notebook we will show how those parameters map to the LangGraph react agent executor using the create_react_agent prebuilt helper method. For detailed documentation on OpenAI features and configuration options, please refer to the API reference. Jun 29, 2023 · Source. Specifically, we enable this model to call tools by providing it a list of LangChain tools. The Agents SDK is an open-source toolkit that simplifies agent workflows. Initialize the OpenAI client using the API key obtained earlier. What is OpenAI’s Agent SDK? Nov 14, 2024 · The Multi AI Agent topic in Generative AI is heating up and every major tech giant has released some framework around it. I’m kinda developing something in that realm, but I’m actually exploring an anti-agent approach. The Apr 29, 2025 · These tools are critical in enabling real-time coordination, RAG pipelines, and evaluation feedback loops within multi-agent systems. Compare features, learn when to use each, and see how to track agent behavior with Langfuse Mar 10, 2025 · from langchain. llms import OpenAI # Your OpenAI GPT-3 API key api_key = 'your-api-key' # Initialize the OpenAI LLM with LangChain llm = OpenAI(api_key) Understanding OpenAI OpenAI, on the other hand, is a research organization and API provider known for developing cutting-edge AI technologies, including large language models like GPT-3. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. OpenAI Tools. Apr 20, 2025 · This doesn’t have anything to do with declarative or non-declarative. And with OpenAI releasing Swarm and Microsoft’s Magentic-One, this space Jan 13, 2025 · Multi-Agent Support. This template creates an agent that uses OpenAI function calling to communicate its decisions on what actions to take. Aug 22, 2023 · TL;DR: Both objects are used to make calls to openai. Developers can now: Use OpenAI Assistants with LangChain tool wrappers Mar 14, 2025 · Agent Model and the Call Process. This notebook goes through how to create your own custom agent. Knowledge Base: Create a knowledge base of "Stuff You Should Know" podcast episodes, to be accessed through a tool. llama) function callingは2023年6月にOpen AIによりリリースされた会話の中に関数を入れ込むための機能です。3つの機能を有しており、"1Userの入力に対して関数を呼び出すべきか判断", "2自然言語をAPI呼び出しやSQLクエリなどに変換", "3テキストから必要な構造化 LangChain provides a robust framework for developing custom chatbots that leverage the capabilities of OpenAI's models. Apr 21, 2025 · LangChain vs OpenAI vs Agentic Stack: Choosing the Right Solution. format = password Aug 22, 2023 · from langchain_openai import ChatOpenAI from langchain_core. By default it strips new line characters from the text, as recommended by OpenAI, but you can disable this by passing stripNewLines: false to the constructor. This includes managing hierarchical, sequential, or collaborative agent roles, enabling agents to work together towards shared objectives. tools import DuckDuckGoSearchResults # Define the state schema that will be shared between agents class AgentState(dict): input: str search_results: str response: str # Initialize LangChain LLM llm Feb 21, 2025 · In this guide, we will build an AI-powered autonomous agent using LangChain and OpenAI APIs. From lightweight assistants to enterprise-grade systems, the key is choosing the right combination of flexibility, control, and scalability. What ensued was a blend of frustration, discovery, and ultimately, success. This is where OpenAI’s Agents SDK comes into play. OpenAI is an artificial intelligence (AI) research laboratory. They appeal to different end users, but This is an implementation of a ReAct-style agent that uses OpenAI's new Realtime API. How do OpenAI’s Agent SDK, LangChain, and CrewAI differ in their approach to building AI agents? A. pip install openai google-search-results Mar 20, 2025 · Building AI agents is not just about having a powerful API—it requires efficient orchestration. Mar 25, 2025 · This Agent SDK, vs LangChain vs CrewAI guide explores when to use each framework to maximize efficiency and performance in AI-driven applications. Replay. LangChain OpenAI Agent Integration . agents import load_tools, initialize_agent, AgentType llm = OpenAI(temperature=0) tools = load_tools I have a second app on StreamLit with Langchain and pay $0. to on January 18, 2024. Usage: Provide a topic and outline to generate an initial draft. API configuration Apr 22, 2025 · Recently, OpenAI launched its Agents SDK to help developers build task driven AI agents with built in tools and seamless API integration. This will help you get started with OpenAI completion models (LLMs) using LangChain. Each agent can: Use tools for task execution. It implements the OpenAI Completion class so that it can be used as a drop-in replacement for the OpenAI API. While OpenAI Swarm shines with its user-friendliness, LangChain LangGraph empowers you with To sum up OpenAI Assistants Vs LangChain Agents, the latter offer flexibility in processing natural language input and choosing actions based on context. You can call Azure OpenAI the same way you call OpenAI with the exceptions noted below. When using custom tools, you can run the assistant and tool execution loop using the built-in AgentExecutor or easily write your own executor. 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. prompts import ChatPromptTemplate from langchain_openai import ChatOpenAI # 在代码中设置您的OpenAI API密钥 os. "Tool calling" in this case refers to a specific type of model API Nov 17, 2024 · Agents (OpenAI) Main Agents. Feb 19, 2025 · A big use case for LangChain is creating agents. invoke ({input: "what is LangChain?",}); console. Nov 25, 2024 · 本文比较了OpenAI Swarm和LangChain LangGraph这两个多智能体框架。OpenAI Swarm以其简单易用的API和快速原型制作能力为特点，但在控制和功能上有所限制。LangChain LangGraph则提供更细粒度的控制和灵活性，适合经验丰富的开发者，但学习曲线较陡，代码实现复杂。选择框架应根据项目需求和开发者经验水平来 Jun 8, 2024 · My mission was to create a sophisticated chatbot for a client, utilizing the OpenAI function from Langchain. sql_database. configurable_alternatives (ConfigurableField (id = "llm"), default_key = "anthropic", openai = ChatOpenAI ()) # uses the default model Dec 29, 2024 · LangChain OpenAI Tools Agent Agent Design. libs/langchain Agent Functionality: LangChain supports agents that can make decisions based on observations, providing a more interactive experience when using the OpenAI API. ChatOpenAI makes calls to the newer chat completions endpoint that is for newer models such as "gpt-4" or "gpt-4o". LangChain comes with a number of built-in agents that are optimized for different use cases. create_openai_tools_agent (llm: BaseLanguageModel, tools: Sequence [BaseTool], prompt: ChatPromptTemplate, strict: bool | None = None) → Runnable [source] # Create an agent that uses OpenAI tools. Unless you are specifically using gpt-3. OpenAI large language models. Example Agents: Build an agent that interacts with external tools. Sep 10, 2023 · OpenAI Functions in Langchain. In an API call, you can describe tools and have the model intelligently choose to output a structured object like JSON containing arguments to call these tools. Completions object at 0x10742d720>, async_client=<openai. Function: Generates summaries of provided medical texts. This is generally the most reliable way to create agents. This SDK is now deprecated in favor of the new Azure integration in the OpenAI SDK, which allows to access the latest OpenAI models and features the same day they are released, and allows seamless transition between the OpenAI API and Azure OpenAI. Apr 22, 2025 · 如果我们回顾一下 OpenAI 的观点，会发现它建立在一些错误的二分法之上，混淆了「Agentic 框架」的不同维度，从而夸大了他们单一封装的价值。具体来说，它混淆了「声明式 vs 命令式」与「Agent 封装」，以及「Workflows vs Agents」。 Jan 18, 2024 · from langchain. Functions simplify prompts and there is also a saving on tokens, seeing that there is no need to describe to the LLM what tools it has at its disposal. 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). The goal of tools APIs is to more reliably return valid and useful tool calls than what can 由 LLM 驱动的自主agent经历了起起落落。从 2023 年 AutoGPT 和 BabyAGI 的demo到今天更完善的框架，agent（可以自主执行端到端任务的 LLM）的概念既吸引了人们的想象力，也吸引了人们的怀疑。 为什么人们会重新产… OpenLM is a zero-dependency OpenAI-compatible LLM provider that can call different inference endpoints directly via HTTP. Langchain only deals with the language models. I want to be able to really understand how I can create an agent without using Langchain. agents import OpenAIAgent # Initialize an agent with OpenAI's model assistant_agent = OpenAIAgent() Remember, LangChain requires explicit management of context and memory, giving you finer control over the behavior of your AI assistant. Dec 9, 2024 · OpenAI Chat large language models. You can interact with OpenAI Assistants using OpenAI tools or custom tools. May 16, 2024 · Langchain Agents are powerful because they combine the reasoning capabilities of language models with the ability to perform actions, making it possible to automate complex tasks and workflows. Once you've Oct 16, 2024 · import os from typing import List, TypedDict from langchain_core. function_calling import convert_to_openai_function from langchain_openai import ChatOpenAI Jan 13, 2025 · Shanza, your article provides an excellent breakdown of AI agent frameworks and their practical use cases. AsyncCompletions object at 0x10742f7f0>, root_client Enabling a LLM system to query structured data can be qualitatively different from unstructured text data. As RAG has already been explained. Yet their philosophies, runtimes, and pricing models diverge enough that picking the wrong one can cost you time, money, and flexibility. My question is that since the openai assistant api has only few built-in functions (code interpreter, retierivals…), how is it able to interact with travel apis to get the real information? Apr 22, 2025 · OpenAI and LangChain recently debated what truly defines an agent — simplicity vs. Oct 20, 2024 · Both OpenAI Swarm and LangChain LangGraph offer valuable tools for building multi-agent workflows. Leverage memory for maintaining context. function_calling import convert_to_openai_function from langchain_openai import ChatOpenAI Previously, LangChain. Summarize Agent. It's suitable for scenarios where open AI functions are required. Nov 24, 2023 · The LangChain framework supports more than 60 LLMs (and counting) including all OpenAI GPT models, this means you'll have a wider LLM choice with LangChain OpenGPTs vs. We can optionally use a special Annotated syntax supported by LangChain that allows you to specify the default value and description of a field. LangChain, OpenAI agents, and the agentic stack each play a vital role in the AI development landscape. Retrieval Augmented Generation (RAG) Part 1 : Build an application that uses your own documents to inform its responses. And on the point of workflows vs agents. OpenAI systems run on an Azure-based supercomputing platform from Microsoft. Currently, it’s just one XML file, but the idea is to load around 10 files of the same type, reaching about 2MB of data. Jun 1, 2023 · OpenAI Developer Community Chain Vs Agent in Langchain. OpenAI API endpoints. base. Why its better? The traditional way to do ReAct agent is through prompt engineering. create call can be passed in, even if not explicitly saved on this class. Under the hood, this agent is using the OpenAI tool-calling capabilities, so we need to use a ChatOpenAI model. You can use this to control the agent. Usage: Input the text, and receive a concise summary. As I myself faced quite a few important issues with the existing agent frameworks I was curious what others are thinking. Both let you give an LLM a goal and a tool belt, then let it decide what to do next. 5-turbo to create intelligent assistants that can perform a wide range of tasks, from answering questions to generating content and even writing code. Jun 26, 2023 · LangChainのAgentだとどうなのか 今回の比較対象にしているLangChainの Agent で実装した場合も見てみたいと思います。実際のコードが以下になります。用いる関数（LangChain Agentでは Tool と呼ばれます）は同じく weather_function になります。 Custom agent. By leveraging these features, developers can create powerful applications that utilize the strengths of both LangChain and OpenAI, enhancing the overall user experience and OpenAI conducts AI research with the declared intention of promoting and developing a friendly AI. llms import OpenAI from langchain. Agents are systems that use LLMs as reasoning engines to determine which actions to take and the inputs necessary to perform the action. format = password openai-functions-agent. OpenAi is one possible model you use inside langchain. js supported integration with Azure OpenAI using the dedicated Azure OpenAI SDK. If yes would you from langchain_community. Installation and Setup. environ ["OPENAI_API_KEY"] = "[OPENAI API KEY]" # 初始化聊天模型 model = ChatOpenAI (model = "gpt-4 With legacy LangChain agents you have to pass in a prompt template. Here’s an example: Previously, LangChain. Dec 1, 2023 · This notebook goes over how to use Langchain with Azure OpenAI. Jan 18, 2024 · from langchain. Tool calling . API. Configuring OpenAI. chat. resources. Here we focus on how to move from legacy LangChain agents to more flexible LangGraph agents. This package contains the LangChain integrations for OpenAI through their openai SDK. Supported Vector Databases Nov 25, 2024 · Relari recommendation: Decision tree for LangGraph vs CrewAI vs OpenAI Swarm What’s Next? This blog focused on building the first version of agents. Sep 11, 2023 · function calling徹底比較(OpenAI vs. When using exclusively OpenAI tools, you can just invoke the assistant directly and get final answers. Example OpenAI Chat large language models. SQLDatabase object at 0x103d5fa60>, llm=ChatOpenAI(client=<openai. By integrating LangChain with OpenAI, developers can create chatbots that not only respond to user queries but also maintain context and engage in meaningful conversations. Here’s an example: Sep 17, 2024 · from langchain import OpenAI from langchain. The OpenAIEmbeddings class can also use the OpenAI API on Azure to generate embeddings for a given text. Memory is needed to enable conversation. tool-calling is extremely useful for building tool-using chains and agents, and for getting structured outputs from models more generally. Retrieval Augmented Generation (RAG) Part 2 : Build a RAG application that incorporates a memory of its user interactions and multi-step retrieval. agent, tools,}); const result = await agentExecutor. This step is crucial to authenticate your May 15, 2025 · langchain-openai. They released a myriad of new features. Here are a few key limitations of large language models and why agents are being developed: To sum up OpenAI Assistants Vs LangChain Agents, the latter offer flexibility in processing natural language input and choosing actions based on context. You will also need to copy the provided js AI智能体构建路线之争：OpenAI指南遭批，Workflows与Agents需混合模式 当前，AI 领域呈现出一种近乎“追星式”的热情氛围，每当有新的东西发布，便 from langchain_anthropic import ChatAnthropic from langchain_core. Agents are built using LangChain’s initialize_agent function. However, it should probably be said that some of us have been doing this for quite a while now, so we might have bliners on regarding how hard or easy things are for beginners. By leveraging these features, developers can create powerful applications that utilize the strengths of both LangChain and OpenAI, enhancing the overall user experience and The agent prompt must have an agent_scratchpad key that is a. Intermediate agent actions and tool output messages will be passed in here. Load the LLM Tool calling allows a model to detect when one or more tools should be called and respond with the inputs that should be passed to those tools. I've played around with OpenAI's Function Calling and I've found it a lot faster and easier to use than the tools and agent options provided by LangChain. OpenAi does have other models/services that are not language like image and audio. Replay functionality allows users to revisit and analyze prior interactions. While both have the same purpose, the ease of development, features and cost-effectiveness varies. We will first create it WITHOUT memory, but we will then show how to add memory in. Here are a few key limitations of large language models and why agents are being developed: 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. Any parameters that are valid to be passed to the openai. LangChain’s support for OpenAI agent integration has deepened in 2025. 5-turbo-instruct, you are probably looking for this page instead. agents import create_openai_tools_agent, AgentExecutor from langchain. It initializes a ToolNode to manage tools like priceConv and binds them to the agent model. messages import HumanMessage from langchain_core. The StateGraph handles decision-making, determining whether the agent should call a tool or return a direct response. from langchain_community. Agents Mar 18, 2024 · Similar to OpenAI assistants, LangChain in Agents can be trained and customized to do specific tasks. tools import DuckDuckGoSearchRun from langchain_openai import ChatOpenAI from langchain. I use and develop the StreamLit/Langchain so much more because everything is just easier to develop and faster to manage and deploy. Apr 30, 2025 · As an example, you can replicate the OpenAI operator agent in AutoGen in 50 lines of code. joyasree78 June 1, 2023, 1:48pm 1. Mar 18, 2024 · When you look at OpenAI assistants Vs LangChain Agents, the latter comes forward with unique benefits. However, as LangChain has shown recently, Function Calling can be used under the hood for agents. In this example, we will use OpenAI Tool Calling to create this agent. flexibility is the core divide. Mar 14, 2025 · Agent Model and the Call Process. Constraints: type = string. Environment Setup The following environment variables need to be set: Set the OPENAI_API_KEY environment variable to access the OpenAI models. Mar 20, 2025 · Building AI agents is not just about having a powerful API—it requires efficient orchestration. Nov 4, 2023 · OPENAI_FUNCTIONS: This is an agent optimized for using open AI functions. We'll use the tool calling agent, which is generally the most reliable kind and the recommended one for most use cases. js, powered by GPT-4o from Azure OpenAI. You can easily express the agent logic in Agents SDK as a declarative graph, and that graph is just as dynamic and flexible as Agents SDK. Parameters: llm (BaseLanguageModel) – LLM to use as the agent. 安装 openai，google-search-results 包，这些包是作为 langchain 包内部调用它们的. ChatGPT is the Artificial Intelligence (AI) chatbot developed by OpenAI. This code defines an AI agent using LangGraph and LangChain. This API allows developers to leverage the capabilities of models like GPT-4 and GPT-3. agents import load_tools, initialize_agent, AgentType llm = OpenAI(temperature= 0) tools = load_tools OpenAI large language models. utils import ConfigurableField from langchain_openai import ChatOpenAI model = ChatAnthropic (model_name = "claude-3-sonnet-20240229"). Example OpenAI Tools. May 6, 2025 · OpenAI Swarm. AI Agents are already used in coding, business ops, healthcare, education, personal productivity, and many other areas. pydantic_v1 import BaseModel, Field, validator from langchain_openai import ChatOpenAI Nov 13, 2024 · The Multi AI Agent topic in Generative AI is heating up and every major tech giant has released some framework around it. LangChain agents (the AgentExecutor in particular) have multiple configuration parameters. However, langchain_openai. Users can access the service through REST APIs, Python SDK, or a web Agents let us do just this. OpenAI Functions Agent. Instead, we use the standard code structure of configuring a Langchain agent but choose the OPENAI_FUNCTIONS AgentType. It's recommended to use the tools agent for OpenAI models. Credentials Head to the Azure docs to create your deployment and generate an API key. OpenAI makes calls to a deprecated completions endpoint that is for older models such as DaVinci while langchain_openai. 5-Turbo, and Embeddings model series. Jan 16, 2024 · We found langchain (and even the openai libs) to be an encumberance. As expected, we’ve run into hallucination issues (making up names, creating full descriptions out of thin air, and the worst part—completely ignoring or Dec 1, 2023 · This notebook goes over how to use Langchain with Azure OpenAI. agents import tool from langchain_core. OpenAI Swarm supports deep reinforcement learning, enabling sophisticated decision-making and coordination across vast systems. 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. Oct 30, 2023 · OpenAI functions & LangChain Agent Why do we need Agents? Advances in natural language understanding and generation have been made possible by large language models like GPT-3, but they also have some drawbacks. Jun 13, 2024 · Seamless Integration — Connect Langchain agents using OpenAI-compatible APIs, including: OpenAI Compatible Assistant API; OpenAI Compatible Chat completion API; Built-in FastAPI integration; Always use this tool before executing a query with sql_db_query!', db=<langchain_community. [To be clear, it does not use LangChain]. openai_tools. May 4, 2025 · The OpenAI Assistants API provides a robust platform for integrating advanced language models into various applications. tools import tool from langchain_core. The agent prompt must have an agent_scratchpad key that is a. agents import AgentExecutor, create_openai_tools_agent from langchain. After executing actions, the results can be fed back into the LLM to determine whether more actions are needed, or whether it is okay to finish. Example create_openai_tools_agent# langchain. messages import HumanMessage, AIMessage @tool def multiply(a, b): "Multiply to numbers. We can choose an Agent type that uses the OpenAI functions but hides the complexity of selecting the function and passing the arguments. openai_functions_agent. The openai Python package makes it easy to use both OpenAI and Azure OpenAI. utilities. OpenAI API has deprecated functions in favor of tools. prompts import PromptTemplate search_tool = DuckDuckGoSearchRun () tools = [search_tool] react_openai_tools = """ Answer the following questions as best you can. OpenAI GPTs since the latter supports the OpenAI models only. prompts import ChatPromptTemplate, MessagesPlaceholder from langchain. chains import LLMChain 2. configurable_alternatives (ConfigurableField (id = "llm"), default_key = "anthropic", openai = ChatOpenAI ()) # uses the default model Jan 13, 2025 · Multi-Agent Support. I tried reading and understanding the “WebGPT: Browser-assisted question-answering with human feedback” paper but I get lost. The only other thing to learn from the OpenAi API is config like temperature and repeating scores Couple of minutes. Note, the default value is not filled in automatically if the model doesn't generate it, it is only used in defining the schema that is passed to the model. Apr 22, 2025 · OpenAI Agent SDK – a managed, cloud‑hosted system built around the OpenAI Assistants API. See a usage example. prompts import ChatPromptTemplate from langchain_core. We expressly designed this framework to simplify building applications, using an agent-oriented approach from the start. The latest and most popular OpenAI models are chat completion models. utils. It is easy to write custom tools, and you can easily pass these to the model. API configuration Read about all the available agent types here. The two most interesting to me were the Assistants API and GPTs. OpenAI Functions is a separate fine-tuned model from OpenAI that you can send a list of functions and description to and get back which one to use based on your string query. langchain vs. messages import HumanMessage from langchain. These agents are by no means performant or reliable. Mar 10, 2025 · from langchain. Environment Setup The following environment variables need to be set: Nov 24, 2023 · The LangChain framework supports more than 60 LLMs (and counting) including all OpenAI GPT models, this means you'll have a wider LLM choice with LangChain OpenGPTs vs. Install the LangChain partner package; pip install langchain-openai Get an OpenAI api key and set it as an environment variable (OPENAI_API_KEY) Chat model. openai_functions import (convert_pydantic_to_openai_function,) from langchain_core. Always use this tool before executing a query with sql_db_query!', db=<langchain_community. The next blog will focus on improving and iterating on these agents (typically the bulk of work of AI system production). completions. While OpenAI Assistants provide a user-friendly interface with built-in functions for seamless interaction and integration with external APIs. I don’t see OpenAI doing this. This means they are only usable with models that support function calling, and specifically the latest tools and tool_choice parameters. Write Article Agent. Firstly, LangChain agents are beginner-friendly as developers with basic knowledge of LLMs May 2, 2023 · LLM Agent: Build an agent that leverages a modified version of the ReAct framework to do chain-of-thought reasoning. param openai_api_key: SecretStr | None = None (alias 'api_key') # Automatically inferred from env var OPENAI_API_KEY if not provided. MessagesPlaceholder. Multi-agent support defines how effectively a framework handles interactions between multiple agents. Jan 8, 2024 · I used various agent frameworks quite a lot. 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. prompts import ChatPromptTemplate Apr 15, 2025 · from crewai import Agent from langchain_openai import ChatOpenAI llm = ChatOpenAI(model="gpt-4o-mini") # Agent with more specific configuration options senior_researcher = Agent May 30, 2023 · When I use the Langchain Agent it feels like a black box. Anyways, that’s not the point of the topic. Langchain is library in Python that acts as an interface between different language models, vector stores and all kinds of libraries. This has everything to do with workflows vs agents. The clarity in comparing LangGraph, CrewAI, and OpenAI Swarm, along with real-world Using OpenAI SDK . The OpenAI API is powered by a diverse set of models with different capabilities and price points. Agent Constructor Here, we will use the high level create_openai_tools_agent API to construct the agent. This changeset utilizes BaseOpenAI for minimal added code. Notice that beside the list of tools, the only thing we need to pass in is a language model to use. This agent building framework integrates seamlessly with the Responses API and Chat Completions API. What is LangChain? LangChain is an open-source framework that enables the development of context-aware AI agents by integrating Large Language Models (LLMs) like OpenAI’s GPT-4, knowledge graphs, APIs, and external tools. To me, these represent the same bet – on a particular, agent-like, closed “cognitive architecture”. param openai_api_base: str | None = None (alias 'base_url') # Base URL path for API requests, leave blank if not using a proxy or service emulator. Nov 12, 2023 · My project uses the ‘agents’ in Langchain and interacting with different ‘tools’ that developed by me to get information from outer travel apis. Sanitize Data Agent Dec 9, 2024 · OpenAI large language models. 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 Jan 18, 2024 · I hope you guys found this helpful and let me know if you have any questions! Originally published at https://dev. Should work with 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. Agents differ from LLMs, chatbots, and workflows by being goal-driven, tool-using, and proactive. To use, you should have the openai python package installed, and the environment variable OPENAI_API_KEY set with your API key. Feb 13, 2024 · from langchain_community. runnables. tools import MoveFileTool from langchain_core. With LangGraph react agent executor, by default there is no prompt. Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-4, GPT-3. Nov 28, 2023 · Three weeks ago OpenAI held a highly anticipated developer day. 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. from langchain_anthropic import ChatAnthropic from langchain_core. And in my opinion, for those using OpenAI's models, it's definitely the better option right now. Around the same time, Google introduced its Agent Development Kit (ADK), an open source framework for building multi agent systems with real time capabilities and Gemini model integration. chains import ConversationChain from langchain I have a super quick tutorial showing you how to create a multi-agent chatbot using LangChain Nov 27, 2023 · Agents is a part of Langchain. configurable_alternatives (ConfigurableField (id = "llm"), default_key = "anthropic", openai = ChatOpenAI ()) # uses the default model Sep 23, 2024 · Hi, I’ve been working with an assistant using gpt4o-mini to retrieve data from a file through file_search. LLM Agent with History: Provide the LLM with access to previous steps in the conversation. graph import StateGraph from langchain_openai import ChatOpenAI from langchain_core. Why Use LangChain for AI Agents? Nov 6, 2024 · import os import asyncio from typing import Any from langchain_openai import AzureChatOpenAI from langchain. I believe create_openai_functions_agent# langchain. Dec 30, 2023 · Langroid is a multi-agent LLM framework from ex-CMU and UW Madison researchers: GitHub - langroid/langroid: Harness LLMs with Multi-Agent Programming. Jan 29, 2025 · from langgraph. 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_functions_agent (llm: BaseLanguageModel, tools: Sequence [BaseTool], prompt: ChatPromptTemplate) → Runnable [source] # Create an agent that uses OpenAI function calling. It's not inherently a ReAct agent, but you can use it in the ReAct pattern (reason & act). agents. And with OpenAI releasing Swarm and Microsoft’s Magentic-One, this space from langchain_anthropic import ChatAnthropic from langchain_core. 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. Also, Langchain’s main capability allows you to “chain” together operations. Example Feb 16, 2025 · from langchain. vgp qzapquor bbqzqv fockm gskhhc eoch wih mqvbje vytmuqnn qfsaw