Start in 90 seconds with our serverless endpoints. Deploy to your VPC when you're ready.
from openai import OpenAI
client = OpenAI(
base_url="https://api.kimchi.dev/openai/v1",
api_key="your_key"
)
response = client.chat.completions.create(
model="llama-3.3-70b",
messages=[{"role": "user", "content": "Hello!"}]
)You shouldn't need a DevOps team to run an LLM.
No Kubernetes. No YAML. No waiting.
Get your API key and start querying Llama, Qwen, Deepseek instantly.
OpenAI SDK compatible.
Switch between 50+ models with one line of code. Zero integration work.
Our cloud or your VPC.
Start serverless, then deploy to your infrastructure. Same API, zero rewrites.
Automate coding tasks, identify bugs, analyse code repos. Integrate with OpenCode, Cline and more.
# Power your coding agents with any model
response = client.chat.completions.create(
model="minimax-m2.5", # Or any supported model
messages=[
{"role": "system", "content": "You are a code reviewer."},
{"role": "user", "content": code_diff}
]
)
# Works with OpenCode, Cline, Windsurf & more"We replaced SageMaker for our BGE M3 embeddings. Deployed to our GKE cluster in one afternoon using our existing OpenAI SDK code."
AI/ML Engineer
Allen Digital • Migrated in 3 days
Free tier with generous rate limits. No credit card required. Just code.