Custom Agents

lucid launch \
  --image ghcr.io/myorg/my-agent:latest \
  --target railway \
  --owner 0x...

// Your agent code
import { RaijinLabsLucidAi } from "raijin-labs-lucid-ai";

const lucid = new RaijinLabsLucidAi({
  serverURL: process.env.LUCID_API_URL || "https://api.lucid.foundation",
  security: { bearerAuth: process.env.LUCID_API_KEY },
});

const result = await lucid.run.chatCompletions({
  body: {
    model: "openai/gpt-4o",
    messages: [{ role: "user", content: "Summarize this document" }],
  },
});

# Set up a container registry for remote targets
lucid registry set ghcr.io/myorg --username x --token y

# Launch from source directory
lucid launch --path ./my-agent --target railway --owner 0x...

// server.ts
import express from "express";
import { RaijinLabsLucidAi } from "raijin-labs-lucid-ai";

const app = express();
const lucid = new RaijinLabsLucidAi({
  serverURL: process.env.LUCID_API_URL || "https://api.lucid.foundation",
  security: { bearerAuth: process.env.LUCID_API_KEY },
});

app.post('/run', async (req, res) => {
  const result = await lucid.run.chatCompletions({
    body: {
      model: process.env.LUCID_MODEL || "openai/gpt-4o",
      messages: [{ role: "user", content: req.body.prompt }],
    },
  });
  res.json(result);
});

app.listen(3100);

FROM node:20-slim
WORKDIR /app
COPY package*.json ./
RUN npm ci --production
COPY . .
EXPOSE 3100
CMD ["node", "server.js"]

# Register all skills from your agent
lucid agent skills register my-agent

# Preview what would be registered
lucid agent skills register my-agent --dry-run

# At launch with env vars
lucid launch --image my-agent:latest --target docker \
  --env TELEGRAM_BOT_TOKEN=123:ABC \
  --env DISCORD_BOT_TOKEN=xyz

# Or via config file
lucid launch --image my-agent:latest --target docker --config ./my.env

lucid launch --image my-agent:latest --target docker \
  --env MEMORY_ENABLED=true \
  --env MEMORY_STORE=sqlite