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🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
翻译准备中
尚未检测到更新。GitHub 发布版本后会显示在这里。
正在加载完整 README。
查看完整 README ↗| 🔍 Observability | 🕸️ Agent Tracing | 🚂 LLM Routing |
|---|---|---|
| 💰 Cost & Latency Tracking | 📚 Datasets & Fine-tuning | 🎛️ Automatic Fallbacks |
🎁 Generous monthly free tier (10k requests/month) - No credit card required!
Get your API key by signing up here and add credits at helicone.ai/credits
Update the baseURL in your code and add your API key.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://ai-gateway.helicone.ai",
apiKey: process.env.HELICONE_API_KEY,
});
const response = await client.chat.completions.create({
model: "gpt-4o-mini", // claude-sonnet-4, gemini-2.0-flash or any model from https://www.helicone.ai/models
messages: [{ role: "user", content: "Hello!" }]
});
🎉 You're all set! View your logs at Helicone and access 100+ models through one API.
Helicone is simple to self-host and update. To get started locally, just use our docker-compose file.
# Clone the repository
git clone https://github.com/Helicone/helicone.git
cd docker
cp .env.example .env
# Start the services
./helicone-compose.sh helicone up
For Enterprise workloads, we also have a production-ready Helm chart available. To access, contact us at [email protected].
Manual deployment is not recommended. Please use Docker or Helm. If you must, follow the instructions here.
Helicone is comprised of five services:
以上为 README 的开头部分。其余内容请阅读原文。 查看完整 README ↗