# .env.local
ANTHROPIC_API_KEY=sk-ant-...

<YourGPTProvider
  runtimeUrl="/api/chat"
  llm={{
    provider: 'anthropic',
    model: 'claude-3-5-sonnet-20241022',
  }}
>
  <CopilotChat />
</YourGPTProvider>

llm={{
  provider: 'anthropic',
  model: 'claude-3-5-sonnet-20241022',
  temperature: 0.7,        // 0-1
  maxTokens: 4096,         // Max response length
  topP: 1,                 // Nucleus sampling
  topK: 40,                // Top-k sampling
}}

const { sendMessage } = useYourGPT();

sendMessage("Analyze this screenshot", [
  {
    type: 'image',
    data: base64ImageData,
    mimeType: 'image/png',
  }
]);

// System prompt can include extensive documentation
<YourGPTProvider
  systemPrompt={`You are a support agent. Here is our full documentation:

  ${fullDocumentation}  // Can be 100K+ tokens

  Answer questions based on this documentation.`}
>

useToolWithSchema({
  name: 'analyze_document',
  description: 'Analyze a document for key insights',
  schema: z.object({
    documentId: z.string(),
    analysisType: z.enum(['summary', 'sentiment', 'entities']),
  }),
  handler: async ({ documentId, analysisType }) => {
    // Claude is excellent at analysis tasks
    const result = await analyzeDocument(documentId, analysisType);
    return { success: true, data: result };
  },
});