import { azureFoundry } from "@agentium/core";

const model = azureFoundry("Phi-4");

export AZURE_API_KEY="..."
export AZURE_ENDPOINT="https://my-host.eastus.models.ai.azure.com"

const model = azureFoundry("Phi-4");

const model = azureFoundry("Phi-4", {
  apiKey: "...",
  endpoint: "https://my-host.eastus.models.ai.azure.com",
});

import { Agent, azureFoundry, defineTool } from "@agentium/core";
import { z } from "zod";

const agent = new Agent({
  name: "foundry-assistant",
  model: azureFoundry("Mistral-large"),
  instructions: "You are a helpful assistant with tool access.",
  tools: [
    defineTool({
      name: "getStockPrice",
      description: "Get current stock price",
      parameters: z.object({ symbol: z.string() }),
      execute: async ({ symbol }) => `${symbol}: $185.42 (+2.3%)`,
    }),
  ],
});

const result = await agent.run("What's the current price of AAPL?");
console.log(result.text);

import { Agent, azureFoundry, type ContentPart } from "@agentium/core";
import { readFileSync } from "node:fs";

const agent = new Agent({
  name: "vision-agent",
  model: azureFoundry("Phi-3.5-vision-instruct"),
  instructions: "Describe images in detail.",
});

const imageData = readFileSync("photo.jpg").toString("base64");
const result = await agent.run([
  { type: "text", text: "What's in this image?" },
  { type: "image", data: imageData, mimeType: "image/jpeg" },
] as ContentPart[]);

import { Agent, azureFoundry, CostTracker, defineTool } from "@agentium/core";
import { z } from "zod";

const costTracker = new CostTracker({
  pricing: {
    "Meta-Llama-3.1-70B-Instruct": { promptPer1k: 0.00268, completionPer1k: 0.00354 },
    "Mistral-large": { promptPer1k: 0.004, completionPer1k: 0.012 },
  },
});

const agent = new Agent({
  name: "research-agent",
  model: azureFoundry("Meta-Llama-3.1-70B-Instruct", {
    endpoint: "https://my-host.eastus.models.ai.azure.com",
  }),
  instructions: "You are a research assistant. Use tools to find information.",
  tools: [
    defineTool({
      name: "search",
      description: "Search for information",
      parameters: z.object({ query: z.string() }),
      execute: async ({ query }) => `Results for "${query}": ...`,
    }),
  ],
  costTracker,
  maxToolRoundtrips: 3,
});

const result = await agent.run("Research the latest trends in AI agent frameworks");
console.log(result.text);
console.log(`Cost: $${costTracker.getSummary().totalCost.toFixed(4)}`);