Can I use this skill with LangChain?

Yes, this skill allows you to use the ChatOpenAI class in LangChain by simply pointing the base_url to your local Ollama instance.

Is streaming supported?

Yes, it fully supports the OpenAI streaming interface, allowing for real-time token generation in your applications.

Which models can I use with this skill?

You can use any model currently installed in your Ollama library, such as Llama 3.2, Mistral, or Phi-3.

Do I need a real OpenAI API key?

No, you can use 'ollama' as a placeholder key. Ollama requires a key to be present for library compatibility but ignores the actual value.

Does it support all OpenAI endpoints?

It supports core endpoints like chat completions, text completions, and embeddings. It does not support administrative functions like deleting or copying models.

Ollama OpenAI Compatibility

Name: Ollama OpenAI Compatibility
Author: atrawog

byatrawog

Data Science & ML

Enables seamless integration between Ollama and the OpenAI ecosystem using a compatible API layer for popular libraries.

About

This skill provides a standardized OpenAI-compatible interface for local LLMs running via Ollama. It allows developers to leverage the official OpenAI Python library, LangChain, and LlamaIndex without refactoring existing codebases. By supporting key endpoints for chat completions, text generation, and embeddings, it facilitates a smooth transition from cloud-based API services to local hosting, ensuring that tools designed for OpenAI work natively with your local model infrastructure.

Key Features

Drop-in replacement for OpenAI API endpoints (/v1/*)
Seamless integration with LangChain and LlamaIndex
0 GitHub stars
Standardized Embedding generation for local models
Support for Chat Completions and Text Generation
Support for streaming responses and multi-turn conversations

Use Cases

Migrating production applications from OpenAI to local LLMs to reduce costs
Prototyping AI applications locally using familiar OpenAI library patterns
Integrating local Ollama models into frameworks like LangChain or LlamaIndex

About

Key Features

Drop-in replacement for OpenAI API endpoints (/v1/*)
Seamless integration with LangChain and LlamaIndex
0 GitHub stars
Standardized Embedding generation for local models
Support for Chat Completions and Text Generation
Support for streaming responses and multi-turn conversations

Use Cases

Migrating production applications from OpenAI to local LLMs to reduce costs
Prototyping AI applications locally using familiar OpenAI library patterns
Integrating local Ollama models into frameworks like LangChain or LlamaIndex