"""Generate opencode.json from Eden AI's model catalog."""
import json
import requests
from pathlib import Path
MODELS_URL = "https://api.edenai.run/v3/llm/models"
BASE_URL = "https://api.edenai.run/v3/llm"
models = requests.get(MODELS_URL).json()["data"]
def to_per_million(v):
return round(v * 1_000_000, 6) if v else None
model_entries = {}
for m in models:
caps = m.get("capabilities", {})
if not caps.get("supports_function_calling"):
continue # opencode requires tool calling
p = m.get("pricing", {})
cost = {k: to_per_million(p.get(v)) for k, v in {
"input": "input_cost_per_token",
"output": "output_cost_per_token",
"cache_read": "cache_read_input_token_cost",
"cache_write": "cache_creation_input_token_cost",
}.items() if p.get(v)}
model_entries[m["id"]] = {
**({"cost": cost} if cost else {}),
**({"reasoning": True} if caps.get("supports_reasoning") else {}),
}
config = {
"$schema": "https://opencode.ai/config.json",
"provider": {
"edenai": {
"npm": "@ai-sdk/openai-compatible",
"name": "Eden AI",
"options": {"baseURL": BASE_URL},
"models": model_entries,
}
},
}
output = Path.home() / ".config" / "opencode" / "opencode.json"
output.parent.mkdir(parents=True, exist_ok=True)
output.write_text(json.dumps(config, indent=2))
print(f"Written {len(model_entries)} models to {output}")
