Build Production AI Agents in 100 Lines of Code

1class="code-comment">// Without AgentKit — 200+ lines of boilerplate
2import OpenAI from class="code-string">"openai";
3
4const client = new OpenAI({ apiKey: process.env.KEY });
5
6async function runAgent(prompt: string) {
7  const messages: any[] = [{ role: class="code-string">"user", content: prompt }];
8  
9  while (true) {
10    const response = await client.chat.completions.create({
11      model: class="code-string">"gpt-4o",
12      messages,
13      tools: [
14        {
15          type: class="code-string">"function",
16          function: {
17            name: class="code-string">"web_search",
18            description: class="code-string">"Search the web",
19            parameters: {
20              type: class="code-string">"object",
21              properties: {
22                query: { type: class="code-string">"string" }
23              },
24              required: [class="code-string">"query"]
25            }
26          }
27        }
28      ]
29    });
30    
31    const choice = response.choices[0];
32    messages.push(choice.message);
33    
34    if (choice.finish_reason === class="code-string">"stop") {
35      return choice.message.content;
36    }
37    
38    if (choice.finish_reason === class="code-string">"tool_calls") {
39      for (const toolCall of choice.message.tool_calls || []) {
40        const args = JSON.parse(toolCall.function.arguments);
41        let result;
42        
43        switch (toolCall.function.name) {
44          case class="code-string">"web_search":
45            result = await searchWeb(args.query);
46            break;
47          class="code-comment">// ... more tools, more boilerplate
48        }
49        
50        messages.push({
51          role: class="code-string">"tool",
52          tool_call_id: toolCall.id,
53          content: JSON.stringify(result)
54        });
55      }
56    }
57  }
58  class="code-comment">// Still no: memory, streaming, error handling, 
59  class="code-comment">// logging, retry logic, type safety...
60}

1class="code-comment">// With AgentKit — 30 lines, production-ready
2import { AgentKit } from class="code-string">"agentkit";
3import { openai } from class="code-string">"@ai-sdk/openai";
4import { z } from class="code-string">"zod";
5
6const agent = new AgentKit({
7  model: openai(class="code-string">"gpt-4o"),
8  name: class="code-string">"My Agent",
9  instructions: class="code-string">"You are a helpful assistant.",
10  tools: {
11    search: {
12      description: class="code-string">"Search the web",
13      parameters: z.object({ query: z.string() }),
14      execute: async ({ query }) => fetchResults(query),
15    },
16  },
17  memory: { type: class="code-string">"conversation", maxTokens: 4000 },
18  retries: 3,
19  streaming: true,
20});
21
22class="code-comment">// That's it. Memory, streaming, retries, logging 
23class="code-comment">// and type safety — all included.
24const result = await agent.run(class="code-string">"Hello!");