One API
200+ LLMs Connected

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.wanflow.ai/v1",
    api_key="wf-...",
)

resp = client.chat.completions.create(
    model="claude-opus-4-8",
    messages=[
        {"role": "system", "content": "You are ACME Corp's data analysis assistant."},
        {"role": "user",   "content": "Analyze this Q4 sales data and give three insights."},
    ],
    # Wanflow-specific extras —— all optional
    extra_body={
        "fallback": ["gpt-5", "gemini-2-5-pro"],   # auto-fallback on primary model failure
        "cache":    {"mode": "semantic", "ttl": 86400},
        "timeout":  30,
        "tags":     {"project": "finance", "team": "analytics"},
    },
)

print(resp.choices[0].message.content)
print("cache hit:", resp.cached, "· cost: ¥", resp.cost_cny)

// npm i openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.wanflow.ai/v1",
  apiKey: process.env.WANFLOW_KEY,
});

const resp = await client.chat.completions.create({
  model: "claude-opus-4-8",
  messages: [
    { role: "system", content: "You are ACME Corp's data analysis assistant." },
    { role: "user",   content: "Analyze this Q4 sales data and give three insights." },
  ],
  fallback: ["gpt-5", "gemini-2-5-pro"],
  cache:    { mode: "semantic", ttl: 86400 },
  timeout:  30,
  tags:     { project: "finance", team: "analytics" },
});

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

curl "https://api.wanflow.ai/v1/chat/completions" \
  -H "Authorization: Bearer $WANFLOW_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-opus-4-8",
    "messages": [
      {"role": "system", "content": "You are ACME Corp's data analysis assistant."},
      {"role": "user",   "content": "Analyze this Q4 sales data and give three insights."}
    ],
    "fallback": ["gpt-5", "gemini-2-5-pro"],
    "cache":    {"mode": "semantic", "ttl": 86400},
    "timeout":  30,
    "tags":     {"project": "finance", "team": "analytics"}
  }'

package main

import (
    "context"
    "fmt"
    "github.com/sashabaranov/go-openai"
)

func main() {
    cfg := openai.DefaultConfig("wf-...")
    cfg.BaseURL = "https://api.wanflow.ai/v1"
    client := openai.NewClientWithConfig(cfg)

    resp, _ := client.CreateChatCompletion(
        context.Background(),
        openai.ChatCompletionRequest{
            Model: "claude-opus-4-8",
            Messages: []openai.ChatCompletionMessage{
                {Role: "user", Content: "Analyze Q4 sales data"},
            },
        },
    )
    fmt.Println(resp.Choices[0].Message.Content)
}