StarSeaAPI

LangChain

ChatOpenAI(base_url=...)

LangChain's OpenAI-compatible chat classes take base_url and api_key directly, so chains, agents and tools keep working unchanged.

Code

from langchain_openai import ChatOpenAI
llm = ChatOpenAI(base_url="https://starseaapi.com/v1", api_key="sk-your-key",
                 model="deepseek-v4.1-flash")

Quickstart

1. Create an API key — Sign up, then create a token in the console. A key works across the whole catalogue; scope and quota can be restricted per key.
2. Point your client at the endpoint — Set base_url to https://starseaapi.com/v1 and use the key. Any OpenAI-compatible SDK, IDE or desktop client works.
3. Pick a model — Start with a low-cost tier for prototyping. Every id in the catalogue can be swapped without touching code.
4. Watch cost, not just quality — Output tokens are usually priced at a multiple of input, and reasoning models emit thinking tokens. Keep stable prompt prefixes first so caching applies.

Integrations