Langchain openai compatible api example This example goes over how to use LangChain to interact with OpenAI models. For detailed documentation on OpenAI features and configuration options, please refer to the API reference. Many of the latest and most popular models are chat completion models. param openai_api_key: str | None = None (alias 'api_key') # Automatically inferred from env var OPENAI_API_KEY if not provided. OpenLM is a zero-dependency OpenAI-compatible LLM provider that can call different inference endpoints directly via HTTP. The new Messages API allows customers and users to transition seamlessly from OpenAI models to open LLMs. OpenAI systems run on an Azure-based supercomputing platform from Microsoft. Browse a collection of snippets, advanced techniques and walkthroughs. Overview Integration details To use the Azure OpenAI service use the AzureChatOpenAI integration. Only specify if using a proxy or service emulator. This notebook requires the following Python packages: openai, tiktoken, langchain and tair. NOTE: Using bind_tools is recommended instead, as the functions and function_call request parameters are officially marked as deprecated by OpenAI. In this notebook we will show how those parameters map to the LangGraph react agent executor using the create_react_agent prebuilt helper method. This page goes over how to use LangChain with Azure OpenAI. param openai_organization: str | None = None (alias Dec 9, 2024 · Use as a LangChain agent, compatible with the AgentExecutor. The figure below shows the overall architecture. ChatGPT is the Artificial Intelligence (AI) chatbot developed by OpenAI. Installation and Setup. As an example, let's get a model to generate a joke and separate the setup from the punchline: ["OPENAI_API_KEY"] = getpass. azure. getpass ("Enter API key for OpenAI Step 1: Create your own API key in Secrets Manager (MUST) Note: This step is to use any string (without spaces) you like to create a custom API Key (credential) that will be used to access the proxy API later. The goal of this project is to create an OpenAI API-compatible version of the embeddings endpoint, which serves open source sentence-transformers models and other models supported by the LangChain's HuggingFaceEmbeddings, HuggingFaceInstructEmbeddings and HuggingFaceBgeEmbeddings class. You can interact with OpenAI Assistants using OpenAI tools or custom tools. please keep the key safe and private. tiktoken is a fast BPE tokeniser for use with OpenAI's models. param openai_api_key: Optional [str] = None (alias 'api_key') ¶ Automatically inferred from env var OPENAI_API_KEY if not provided. openai provides convenient access to the OpenAI API. format = password OpenAI large language models. OpenAI conducts AI research with the declared intention of promoting and developing a friendly AI. Credentials Head to platform. 4. This example goes over how to use the Zapier integration with a SimpleSequentialChain, then an Description Links; LLMs Minimal example that reserves OpenAI and Anthropic chat models. AzureOpenAI [source] ¶. Once you’ve done this set the OPENAI_API_KEY environment variable: LangChain4j provides 4 different integrations with OpenAI for using chat models, and this is #1 : OpenAI uses a custom Java implementation of the OpenAI REST API, that works best with Quarkus (as it uses the Quarkus REST client) and Spring (as it uses Spring's RestClient). By bridging the LangChain framework with the versatile OpenAPI specification, we’ll OpenAI conducts AI research with the declared intention of promoting and developing a friendly AI. 1st example: hierarchical planning agent . param openai_api_key: Optional [SecretStr] [Optional] (alias 'api_key') ¶ Automatically inferred from env var OPENAI_API_KEY if not provided. Constraints: type = string. com to sign up to OpenAI and generate an API key. param assistant_id: str [Required] ¶ OpenAI assistant id. The API can be directly used with OpenAI's client libraries or third-party tools, like LangChain or LlamaIndex. This allows ChatGPT to automatically select the correct method and populate the correct parameters for the a API call in the spec for a given user input. LangChain's integrations with many model providers make this easy to do so. utils import ConfigurableField from langchain_openai import ChatOpenAI model = ChatAnthropic (model_name = "claude-3-sonnet-20240229"). The openai Python package makes it easy to use both OpenAI and Azure OpenAI. LangChain agents (the AgentExecutor in particular) have multiple configuration parameters. OpenAI-Compatible Completion Jan 14, 2024 · In many LLM Application, OpenAI API is a widely used format. OpenAI is an artificial intelligence (AI) research laboratory. param openai_organization: Optional [str] = None (alias 'organization') ¶ Automatically inferred from env var OPENAI_ORG_ID if It implements the OpenAI Completion class so that it can be used as a drop-in replacement for the OpenAI API. Installation and Setup Get an OpenAI api key and set it as an environment variable (OPENAI_API_KEY) Chat model See a usage example. The OpenAI API is powered by a diverse set of models with different capabilities and price points. This key does not have to match your actual OpenAI key, and you don't need to have an OpenAI API key. OpenLLM lets developers run any open-source LLMs as OpenAI-compatible API endpoints with a single command. organization: Optional[str] OpenAI organization ID. The Azure OpenAI API is compatible with OpenAI's API. 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. This compatibility layer allows you to use Opper with any tool or library designed for OpenAI's API or SDKs (such as LangChain, Vercel AI SDK, DSPy, etc). You are currently on a page documenting the use of text completion models. writeOnly = True. configurable_alternatives (ConfigurableField (id = "llm"), default_key = "anthropic", openai = ChatOpenAI ()) # uses the default model Stream all output from a runnable, as reported to the callback system. These applications directly use ChatGPT via api key and openai client library. OpenAI large language models. Review full docs for full user-facing oauth developer support. This package contains the LangChain integrations for OpenAI through their openai SDK. Jul 5, 2024 · Expand the capabilities of your conversational agents and enable them to interact dynamically with APIs. Just change the base_url , api_key and model . 0 ¶ Frequency with which to check run progress in ms. This examples goes over how to use LangChain to interact with both OpenAI and HuggingFace. This allows vLLM to be used as a drop-in replacement for applications using OpenAI API. While LangChain has it's own message and model APIs, we've also made it as easy as possible to explore other models by exposing an adapter to adapt LangChain models to the OpenAI api. Install requirements. When using exclusively OpenAI tools, you can just invoke the assistant directly and get final answers. An OpenAI API key. Head to https://platform. Description Links; LLMs Minimal example that reserves OpenAI and Anthropic chat models. runnables. OpenAI Official SDK uses the official OpenAI Java SDK. Base URL path for API requests, leave blank if not using a proxy or service emulator. Here we focus on how to move from legacy LangChain agents to more flexible LangGraph agents. We then make the actual API call, and return the result. A FastAPI + Langchain / langgraph extension to expose agent result as an OpenAI-compatible API. For example, Klarna has a YAML file that describes its API and allows OpenAI to interact with it: A bridge to use Langchain output as an OpenAI-compatible API. Sep 11, 2023 · Langchain as a framework. This means that the open models can be used as a replacement without any need for code modification. If not passed in will be read from env var OPENAI_API_KEY. FastChat API server can interface with apps based on the OpenAI API through the OpenAI API protocol. param openai_organization: Optional [str] = None (alias 'organization') ¶ Automatically inferred from env var OPENAI_ORG_ID if Nov 17, 2023 · This quick start focus mostly on the server-side use case for brevity. Credentials Head to OpenAI’s website to sign up for OpenAI and generate an API key. create call can be passed in, even if not explicitly saved on this class. OpenAI-Compatible Server vLLM can be deployed as a server that mimics the OpenAI API protocol. This includes all inner runs of LLMs, Retrievers, Tools, etc. 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. param async_client: Any = None ¶ OpenAI or AzureOpenAI async client. 📄️ OpenWeatherMap. ⚠️ Setup to run examples. Feb 3, 2025 · Open-source examples and guides for building with the OpenAI API. openai. param check_every_ms: float = 1000. This page covers how to use the OpenSearch ecosystem within LangChain. 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. See a usage example. Constraints. This changeset utilizes BaseOpenAI for minimal added code. from langchain_openai import ChatOpenAI api_key: Optional[str] OpenAI API key. base_url: Optional[str] Base URL for API requests. Jun 9, 2023 · Local OpenAI API Server with FastChat. This server can be queried in the same format as OpenAI API. It parses an input OpenAPI spec into JSON Schema that the OpenAI functions API can handle. You can call Azure OpenAI the same way you call OpenAI with the exceptions noted below. OpenWeatherMap provides all essential weather data for a specific location: 📄️ OracleAI Vector Search Dec 9, 2024 · Base URL path for API requests, leave blank if not using a proxy or service emulator. Bases: BaseOpenAI Azure-specific OpenAI large language models. API configuration To access OpenAI embedding models you'll need to create a/an OpenAI account, get an API key, and install the langchain-openai integration package. 🚀 Expose Langchain Agent result as an OpenAI-compatible API 🚀. To access OpenAI models you'll need to create an OpenAI account, get an API key, and install the langchain-openai integration package. llms. Uses async, supports batching and streaming. After that, they are empowered by LLM and have there func Dec 9, 2024 · OpenAI Chat large language models. How to integrate a local model into FastChat API server? 2 days ago · langchain-openai. This will help you get started with OpenAI completion models (LLMs) using LangChain. 0, TGI offers an API compatible with the OpenAI Chat Completion API. param openai_organization: Optional [str] [Optional The Assistants API currently supports three types of tools: Code Interpreter, Retrieval, and Function calling. 📄️ OpenSearch. In this example, we'll consider an approach called hierarchical planning, common in robotics and appearing in recent works for LLMs X robotics. Once you’ve done this set the OPENAI_API_KEY environment variable: To access OpenAIEmbeddings embedding models you’ll need to create an OpenAI account, get an API key, and install the @langchain/openai integration package. OpenAI 是一家美国人工智能 (AI) 研究实验室，由非营利组织 OpenAI Incorporated 及其营利性子公司 OpenAI Limited Partnership 组成。OpenAI 进行人工智能研究，其公开声明的目的是促进和开发友好的人工智能。OpenAI 系统在 Microsoft 的 Azure 基础上构建的超级计算平台上运行。 Dec 9, 2024 · Base URL path for API requests, leave blank if not using a proxy or service emulator. Dec 9, 2024 · class langchain_openai. Define OPENAI_API_KEY or ANTHROPIC_API_KEY on your system. 🔬 Build for fast and production usages; 🚂 Support llama3, qwen2, gemma, etc, and many quantized versions full list; ⛓️ OpenAI-compatible API; 💬 Built-in ChatGPT like UI; 🔥 Accelerated LLM decoding with state-of-the-art from langchain_anthropic import ChatAnthropic from langchain_core. . To pass provider-specific args, go here Feb 8, 2024 · Starting with version 1. If not passed in will be read from env var OPENAI_ORG_ID. It implements the OpenAI Completion class so that it can be used as a drop-in replacement for the OpenAI API. Jan 30, 2025 · To further enhance your chatbot, explore LangChain’s documentation (LangChain Docs), experiment with different LLMs, and integrate additional tools like vector databases for better contextual understanding. You can also check out the LangChain GitHub repository (LangChain GitHub) and OpenAI’s API guides (OpenAI Docs) for more insights. Quickstart Many APIs are already compatible with OpenAI function calling. Assumes model is compatible with OpenAI function-calling API. Dec 9, 2024 · Base URL path for API requests, leave blank if not using a proxy or service emulator. A lot of people get started with OpenAI but want to explore other models. Jump to Example Using OAuth Access Token to see a short example how to set up Zapier for user-facing situations. Once you’ve done this set the OPENAI_API_KEY environment variable: Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. May 2, 2023 · LangChain is a framework for developing applications powered by language models. Output is streamed as Log objects, which include a list of jsonpatch ops that describe how the state of the run has changed in each step, and the final state of the run. Any parameters that are valid to be passed to the openai. param openai_api_key: SecretStr | None = None (alias 'api_key') # Automatically inferred from env var OPENAI_API_KEY if not provided. Share your own examples and guides. type = string. Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. Introducing the Since the openai_trtllm is compatible with OpenAI API, you can easily integrate with LangChain as an alternative to OpenAI or ChatOpenAI. LiteLLM Proxy is OpenAI-Compatible, it works with any project that calls OpenAI. format = password. To access OpenAI chat models you’ll need to create an OpenAI account, get an API key, and install the @langchain/openai integration package. To use, you should have the openai python package installed, and the environment variable OPENAI_API_KEY set with your API key. param client: Any [Optional] ¶ OpenAI or AzureOpenAI client. Use any OpenAI-compatible UI or UI framework with your custom Langchain Agent. Although you can use the TensorRT LLM integration published recently, it has no support for chat models yet, not to mention user defined templates. server, client: Retriever Simple server that exposes a retriever as a runnable. langchain helps us to build applications with LLM more easily. Jun 14, 2024 · Seamless Integration — Connect Langchain agents using OpenAI-compatible APIs, including: OpenAI Compatible Assistant API; OpenAI Compatible Chat completion API; Built-in FastAPI Sep 17, 2024 · By integrating OpenAI with LangChain, you unlock extensive capabilities that empower manipulation and generation of human-like text through well-designed architectures. Usage Functions: For example, OpenAI functions is one popular means of doing this. LLM-generated interface: Use an LLM with access to API documentation to create an interface. Feb 17, 2025 · We're excited to announce that Opper now provides an OpenAI-compatible API endpoint, making it easier than ever to access many models and capabilities through a single API. param openai_organization: str | None = None (alias 'organization') # Automatically inferred from env var OPENAI_ORG_ID if not provided. eqqne bqslkr ygwt iva sml jhszt xfmp deqsj wxocx vvzvjyap dvh net umni szjira dcbucti