# .env.local
GOOGLE_API_KEY=...

<YourGPTProvider
  runtimeUrl="/api/chat"
  llm={{
    provider: 'google',
    model: 'gemini-1.5-pro',
  }}
>
  <CopilotChat />
</YourGPTProvider>

llm={{
  provider: 'google',
  model: 'gemini-1.5-pro',
  temperature: 0.7,        // 0-1
  maxTokens: 8192,         // Max response length
  topP: 0.95,              // Nucleus sampling
  topK: 40,                // Top-k sampling
}}

// Process entire codebases or books
<YourGPTProvider
  systemPrompt={`Here is the entire codebase:

  ${entireCodebase}  // Can be 500K+ tokens!

  Help users understand and modify this code.`}
>

const { sendMessage } = useYourGPT();

// Image analysis
sendMessage("What's in this image?", [
  { type: 'image', data: imageBase64, mimeType: 'image/png' }
]);

// Video analysis (if supported)
sendMessage("Summarize this video", [
  { type: 'video', data: videoBase64, mimeType: 'video/mp4' }
]);

useToolWithSchema({
  name: 'search_knowledge',
  description: 'Search internal knowledge base',
  schema: z.object({
    query: z.string(),
    filters: z.object({
      category: z.string().optional(),
      dateRange: z.string().optional(),
    }).optional(),
  }),
  handler: async ({ query, filters }) => {
    const results = await searchKnowledge(query, filters);
    return { success: true, data: results };
  },
});