Once it is deployed, you’ll see a URL appear in the command line, something like https://your-workspace-name--example-vllm-openai-compatible-serve.modal.run.You can find interactive Swagger UI docs at the /docs route of that URL, i.e. https://your-workspace-name--example-vllm-...
To support serving requests through both the OpenAI-Compatible and KServe Predict v2 frontends to the same running Triton Inference Server, thetritonfrontendpython bindings are included for optional use in this application as well. You can opt-in to including these additional frontends, assuming...
import{createOpenAICompatible}from'@ai-sdk/openai-compatible';import{generateText}from'ai';const{text}=awaitgenerateText({model:createOpenAICompatible({baseURL:'https://api.example.com/v1',name:'example',apiKey:process.env.MY_API_KEY,}).chatModel('meta-llama/Llama-3-70b-chat-hf'),prompt:...
OpenAI-Compatible Frontend should support world_size larger than 1 Activity rmccorm4added enhancementNew feature or request on Jan 10, 2025 Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment AssigneesNo one assigned Labels enhancementNew feature or...
Description This PR adds temperature control for OpenAI compatible models in the UI settings. Previously, temperature was hardcoded to 0, but this change makes it configurable through the API Optio...
常见的错误原因包括:使用了错误的API函数(如使用openai.Completion.create代替openai.ChatCompletion.create),或者API响应的结构已经改变而代码没有相应更新。 另一个可能的原因是,在处理API响应时,错误地访问了choices属性,例如当响应本身是一个choice对象而不是包含choices列表的对象时。 修改代码中不正确的部分,确保choi...
It facilitates easy comparisons among different serving solutions that support the OpenAI-compatible API.In the following sections, we guide you through how GenAI-Perf can be used to measure the performance of models compatible with OpenAI endpoints....
如何使用FastChat? | github: https://github.com/lm-sys/FastChatFastChat's core features include:The training and evaluation code for state-of-the-art models (e.g., Vicuna, MT-Bench).A distributed multi-model serving system with web UI and OpenAI-compatible RESTful APIs. ...
Aim: To develop an OpenAI Gym-compatible framework and simulation environment for testing Deep RL agents. Methods: A custom ambulance dispatch simulation environment was developed using OpenAI Gym and SimPy. Deep RL agents were built using PyTorch. The environment is a simplification of the real ...
Configure the capabilities and pricing for your custom OpenAI-compatible model {/* Capabilities Section */} <VSCodeTextField value={ apiConfiguration?.openAiCusModelInfo?.maxTokens?.toString() || openAiModelInfoSaneDefaults.maxTokens?.toString() || "" } type="text" style={{ width: "100...