StarSeaAPI

Zed

settings.json → language_models

Zed's agent panel accepts an OpenAI-compatible provider. Add the endpoint under language_models and set the model id explicitly.

Code

"language_models": { "openai": {
    "api_url": "https://starseaapi.com/v1", "available_models": [
      { "name": "glm-5.3-flash", "max_tokens": 131072 } ] } }

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