Langchain openai compatible api example.

Langchain openai compatible api example 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. Head to https://platform. This notebook requires the following Python packages: openai, tiktoken, langchain and tair. These applications directly use ChatGPT via api key and openai client library. 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. Install requirements. param openai_organization: Optional [str] [Optional The Assistants API currently supports three types of tools: Code Interpreter, Retrieval, and Function calling. 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. param openai_api_key: str | None = None (alias 'api_key') # Automatically inferred from env var OPENAI_API_KEY if not provided. OpenAI is an artificial intelligence (AI) research laboratory. To access OpenAI models you'll need to create an OpenAI account, get an API key, and install the langchain-openai integration package. Define OPENAI_API_KEY or ANTHROPIC_API_KEY on your system. AzureOpenAI [source] ¶. In this notebook we will show how those parameters map to the LangGraph react agent executor using the create_react_agent prebuilt helper method. 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. Credentials Head to platform. Jun 9, 2023 · Local OpenAI API Server with FastChat. Quickstart Many APIs are already compatible with OpenAI function calling. To use, you should have the openai python package installed, and the environment variable OPENAI_API_KEY set with your API key. 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. This example goes over how to use LangChain to interact with OpenAI models. After that, they are empowered by LLM and have there func Dec 9, 2024 · OpenAI Chat large language models. 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. To pass provider-specific args, go here Feb 8, 2024 · Starting with version 1. We then make the actual API call, and return the result. Usage Functions: For example, OpenAI functions is one popular means of doing this. 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. param openai_api_key: SecretStr | None = None (alias 'api_key') # Automatically inferred from env var OPENAI_API_KEY if not provided. An OpenAI API key. Installation and Setup Get an OpenAI api key and set it as an environment variable (OPENAI_API_KEY) Chat model See a usage example. param openai_api_key: Optional [str] = None (alias 'api_key') ¶ Automatically inferred from env var OPENAI_API_KEY if not provided. param check_every_ms: float = 1000. . from langchain_openai import ChatOpenAI api_key: Optional[str] OpenAI API key. Jul 5, 2024 · Expand the capabilities of your conversational agents and enable them to interact dynamically with APIs. OpenAI large language models. 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. In this example, we'll consider an approach called hierarchical planning, common in robotics and appearing in recent works for LLMs X robotics. You can interact with OpenAI Assistants using OpenAI tools or custom tools. This page goes over how to use LangChain with Azure OpenAI. See a usage example. param assistant_id: str [Required] ¶ OpenAI assistant id. Dec 9, 2024 · class langchain_openai. llms. 0, TGI offers an API compatible with the OpenAI Chat Completion API. 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. Many of the latest and most popular models are chat completion models. It parses an input OpenAPI spec into JSON Schema that the OpenAI functions API can handle. May 2, 2023 · LangChain is a framework for developing applications powered by language models. Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. A FastAPI + Langchain / langgraph extension to expose agent result as an OpenAI-compatible API. writeOnly = True. A lot of people get started with OpenAI but want to explore other models. Description Links; LLMs Minimal example that reserves OpenAI and Anthropic chat models. You are currently on a page documenting the use of text completion models. LLM-generated interface: Use an LLM with access to API documentation to create an interface. 1st example: hierarchical planning agent . Dec 9, 2024 · 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. organization: Optional[str] OpenAI organization ID. 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. When using exclusively OpenAI tools, you can just invoke the assistant directly and get final answers. The API can be directly used with OpenAI's client libraries or third-party tools, like LangChain or LlamaIndex. Bases: BaseOpenAI Azure-specific OpenAI large 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. OpenAI systems run on an Azure-based supercomputing platform from Microsoft. Review full docs for full user-facing oauth developer support. Installation and Setup. 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. Any parameters that are valid to be passed to the openai. please keep the key safe and private. 🔬 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. 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. You can also check out the LangChain GitHub repository (LangChain GitHub) and OpenAI’s API guides (OpenAI Docs) for more insights. server, client: Retriever Simple server that exposes a retriever as a runnable. 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. 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. OpenAI Official SDK uses the official OpenAI Java SDK. It implements the OpenAI Completion class so that it can be used as a drop-in replacement for the OpenAI API. LangChain agents (the AgentExecutor in particular) have multiple configuration parameters. ⚠️ Setup to run examples. The Azure OpenAI API is compatible with OpenAI's API. utils import ConfigurableField from langchain_openai import ChatOpenAI model = ChatAnthropic (model_name = "claude-3-sonnet-20240229"). OpenLM is a zero-dependency OpenAI-compatible LLM provider that can call different inference endpoints directly via HTTP. Base URL path for API requests, leave blank if not using a proxy or service emulator. base_url: Optional[str] Base URL for API requests. param async_client: Any = None ¶ OpenAI or AzureOpenAI async client. NOTE: Using bind_tools is recommended instead, as the functions and function_call request parameters are officially marked as deprecated by OpenAI. langchain helps us to build applications with LLM more easily. Sep 11, 2023 · Langchain as a framework. param openai_organization: str | None = None (alias Dec 9, 2024 · Use as a LangChain agent, compatible with the AgentExecutor. format = password OpenAI large language models. Assumes model is compatible with OpenAI function-calling API. This allows vLLM to be used as a drop-in replacement for applications using OpenAI API. If not passed in will be read from env var OPENAI_API_KEY. This page covers how to use the OpenSearch ecosystem within LangChain. FastChat API server can interface with apps based on the OpenAI API through the OpenAI API protocol. The figure below shows the overall architecture. type = string. How to integrate a local model into FastChat API server? 2 days ago · langchain-openai. The openai Python package makes it easy to use both OpenAI and Azure OpenAI. 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. Although you can use the TensorRT LLM integration published recently, it has no support for chat models yet, not to mention user defined templates. OpenAI-Compatible Completion Jan 14, 2024 · In many LLM Application, OpenAI API is a widely used format. The OpenAI API is powered by a diverse set of models with different capabilities and price points. OpenLLM lets developers run any open-source LLMs as OpenAI-compatible API endpoints with a single command. openai provides convenient access to the OpenAI API. Feb 3, 2025 · Open-source examples and guides for building with the OpenAI API. Use any OpenAI-compatible UI or UI framework with your custom Langchain Agent. 🚀 Expose Langchain Agent result as an OpenAI-compatible API 🚀. 4. OpenAI-Compatible Server vLLM can be deployed as a server that mimics the OpenAI API protocol. Jump to Example Using OAuth Access Token to see a short example how to set up Zapier for user-facing situations. 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). tiktoken is a fast BPE tokeniser for use with OpenAI's models. To access OpenAI chat models you’ll need to create an OpenAI account, get an API key, and install the @langchain/openai integration package. openai. LiteLLM Proxy is OpenAI-Compatible, it works with any project that calls OpenAI. Constraints. If not passed in will be read from env var OPENAI_ORG_ID. format = password. LangChain's integrations with many model providers make this easy to do so. 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. Just change the base_url , api_key and model . This means that the open models can be used as a replacement without any need for code modification. 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. This examples goes over how to use LangChain to interact with both OpenAI and HuggingFace. 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. For detailed documentation on OpenAI features and configuration options, please refer to the API reference. 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. Constraints: type = string. Share your own examples and guides. 0 ¶ Frequency with which to check run progress in ms. ChatGPT is the Artificial Intelligence (AI) chatbot developed by OpenAI. You can call Azure OpenAI the same way you call OpenAI with the exceptions noted below. com to sign up to OpenAI and generate an API key. Credentials Head to OpenAI’s website to sign up for OpenAI and generate an API key. This will help you get started with OpenAI completion models (LLMs) using LangChain. Browse a collection of snippets, advanced techniques and walkthroughs. Overview Integration details To use the Azure OpenAI service use the AzureChatOpenAI integration. 📄️ OpenWeatherMap. azure. Introducing the Since the openai_trtllm is compatible with OpenAI API, you can easily integrate with LangChain as an alternative to OpenAI or ChatOpenAI. param openai_api_key: Optional [SecretStr] [Optional] (alias 'api_key') ¶ Automatically inferred from env var OPENAI_API_KEY if not provided. Only specify if using a proxy or service emulator. This key does not have to match your actual OpenAI key, and you don't need to have an OpenAI API key. The new Messages API allows customers and users to transition seamlessly from OpenAI models to open LLMs. 📄️ OpenSearch. This includes all inner runs of LLMs, Retrievers, Tools, etc. Uses async, supports batching and streaming. As an example, let's get a model to generate a joke and separate the setup from the punchline: ["OPENAI_API_KEY"] = getpass. runnables. 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. This server can be queried in the same format as OpenAI API. param openai_organization: str | None = None (alias 'organization') # Automatically inferred from env var OPENAI_ORG_ID if not provided. OpenAI conducts AI research with the declared intention of promoting and developing a friendly AI. create call can be passed in, even if not explicitly saved on this class. 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. This package contains the LangChain integrations for OpenAI through their openai SDK. This changeset utilizes BaseOpenAI for minimal added code. param client: Any [Optional] ¶ OpenAI or AzureOpenAI client. oishgg zvltmf zpsa qzpky epyl nybmh rrpk xxpueq qiive uaxdlwa nov wdl zdjcrlb uofnvlq sqpdgoo