const client = createLLMClient({ provider: "anthropic" });
 
// Standard completion
const response = await client.chat.completions.create({
  model: "claude-3-opus-20240229",
  messages: [{ role: "user", content: "Hello!" }]
});
 
// Streaming
const stream = await client.chat.completions.create({
  model: "claude-3-opus-20240229",
  messages: [{ role: "user", content: "Hello!" }],
  stream: true
});
 
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}
 
// Tool/Function calling
const result = await client.chat.completions.create({
  model: "claude-3-opus-20240229",
  messages: [{ role: "user", content: "Analyze this data" }],
  tools: [{
    type: "function",
    function: {
      name: "analyze",
      parameters: {
        type: "object",
        properties: {
          sentiment: { type: "string" }
        }
      }
    }
  }]
});