Gemini Embedding 001

Open OpenCode → Providers → Gemini.
Paste your Gemini API key when prompted.
Then select model: gemini-embedding-001

For a custom OpenAI-compatible provider, use base URL:
https://generativelanguage.googleapis.com/v1beta/openai/

curl https://generativelanguage.googleapis.com/v1beta/openai//chat/completions \
  -H "Authorization: Bearer $GEMINI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gemini-embedding-001","messages":[{"role":"user","content":"Hello"}]}'

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.GEMINI_API_KEY,
  baseURL: "https://generativelanguage.googleapis.com/v1beta/openai/",
});

const response = await client.chat.completions.create({
  model: "gemini-embedding-001",
  messages: [{ role: "user", content: "Hello" }],
});

console.log(response.choices[0].message.content);

from openai import OpenAI
import os

client = OpenAI(
    api_key=os.environ["GEMINI_API_KEY"],
    base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
)

response = client.chat.completions.create(
    model="gemini-embedding-001",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)