Everything you need to
build with Smartflow

# Native Anthropic SDK — set ANTHROPIC_BASE_URL, nothing else changes
from anthropic import Anthropic

client = Anthropic(
    base_url="https://yoursmartflow.yourcompany.com/anthropic",
    api_key="sk-sf-your-virtual-key"
)

message = client.messages.create(
    model="claude-sonnet-4-6",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}]
)
print(message.content[0].text)

# OpenAI-compatible endpoint
curl https://yoursmartflow.yourcompany.com/v1/chat/completions \
  -H "Authorization: Bearer sk-sf-your-virtual-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-6",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

# Native Anthropic Messages API
curl https://yoursmartflow.yourcompany.com/anthropic/v1/messages \
  -H "x-api-key: sk-sf-your-virtual-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-6",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

import asyncio
from smartflow import SmartflowClient

async def main():
    async with SmartflowClient(
        base_url="https://yoursmartflow.yourcompany.com",
        api_key="sk-sf-your-virtual-key"
    ) as sf:
        # Chat completion (OpenAI-compatible)
        reply = await sf.chat("Explain quantum entanglement",
                                model="claude-sonnet-4-6")
        print(reply)

        # Cache stats — see your hit rates
        stats = await sf.get_cache_stats()
        print(f"Cache hit rate: {stats.hit_rate:.1%}")

asyncio.run(main())

# Install the chart from the package you were given
helm upgrade --install smartflow ./smartflow \
  --namespace smartflow --create-namespace \
  --set secrets.openaiApiKey="sk-..." \
  --set secrets.anthropicApiKey="sk-ant-..." \
  --set ingress.host="yoursmartflow.yourcompany.com" \
  --set ingress.tls="true"

# Check rollout
kubectl rollout status deployment/smartflow-proxy -n smartflow